THE ECOLOGY AND ECOPHYSIOLOGY OF MARION ISLAND HOUSE MICE, MUS MUSCULUS L. by Nico Loubser Avenant Submitted in fulfillment of the requirements for the degree of Doctor of Philosophy in the Faculty of Science Department of Zoology and Entomology University of the Orange Free State Bloemfontein 1999 Internal Promotor: Prof. O.B. Kok External Promotor: Prof. V.R. Smith ~-------------------- Universite1t von die erenre-vrv-toot BLOfMFO. TE N . 8 - SE 2000 1 UOVS SASOL BIBLIOTEEK I, LIST OF CONTENTS CONTENTS PAGE List of contents List of Tables III List of Figures VI Acknowledgements/Bedankings IX Chapter 1: INTRODUCTION 1 l.1 BACKGROUND AND MOTIVATION FOR THIS STUDY - THE HOUSE MOUSE CONUNDRUM ON MARION ISLAND 1 l.2 OBJECTIVES OF THE STUDY 5 Chapter 2: THE MARION ISLAND BIqME 6 2.1 TOPOGRAPHY, GEOLOGY AND PAST HISTORY 6 2.2 CLIMATE 7 2.3 VEGETATION AND FLORA Il 2.3.1 Indigenous flora 11 2.3.2 Alien flora 11 2.3.3 Vegetation 12 2.4 FAUNA 13 2.4.1 Indigenous fauna 13 2.4.2 Alien fauna 14 2.5 ECOSYSTEM FUNCTIONING 15 Chapter 3: THE MICROENVIRONMENT OF HOUSE MICE AT MARION ISLAND 18 3.1 INTRODUCTION 18 3.2 SITES AND METHODS 19 3.3 RESULTS 21 3.3.1 Burrow system morphology 21 3.3.2 Burrow system contents 31 3.3.3 Above-ground extensions of burrow systems 31 3.3.4 Temperature regimes inside and outside burrow systems 31 3.3.5 Macroinvertebrate prey species 40 3.4 DISCUSSION 46 ii Chapter 4: SEASONAL CHANGES IN AGE CLASS STRUCTURE AND REPRODUCTIVE STATUS OF HOUSE MICE AT MARION ISLAND 53 4.1 INTRODUCTION 53 4.2 MATERIALS AND METHODS 54 4.3 RESULTS 55 4.3.1 Sex and age class composition of captured mice 55 4.3.2 Sexual maturity and seasonality of reproductive status 59 4.4 DISCUSSION 65 Chapter 5: ON THE MORPHOMETRICS OF MARION ISLAND HOUSE MICE 77 5.1 INTRODUCTION 77 5.2 MATERIALS AND METHODS 78 5.3 RESULTS 79 5.3.1 Age class, body mass, body and tail lengths 79 5.3.2 Small intestine, large intestine and caecum lengths 95 5.3.3 Kidney and adrenal gland masses 105 5.4 DISCUSSION 109 Chapter 6: FEEDING ECOLOGY OF MARION ISLAND HOUSE MICE 118 6.1 INTRODUCTION 118 6.2 STUDY AREA, MATERIALS AND METHODS 118 6.2.1 Stomach content analysis 118 6.2.2 Diet item preference 119 .6.3 RESULTS 120 6.3.1 Stomach contents 120 6.3.2 Seasonal variation in diet 128 6.3.3 Prey preference 132 6.4 DISCUSSION 136 Chapter 7: CONCLUSIONS AND SUGGESTIONS FOR FURTHER RESEARCH 140 7.1 Conclusions 140 7.2 Suggestions for further research 144 SUMMARY 146 OPSOMMING 148 REFERENCES 150 iii LIST OF TABLES Page Table 3.1. Burrow system densities and numbers of chambers and corridors per 24 burrow system in the three sites. Table 3.2. Percentage occurrence of burrow entrances under the various plant species 25 (or in other types of surface) at the 3 sites. Table 3.3. Chamber and corridor dimensions at the three sites. 28 Table 3.4. Total chamber and corridor sizes per burrow system at the three sites. 29 Table 3.5. Total chamber, corridor and underground burrow system area and volume 30 at the three sites. Table 3.6. Temperatures eC) at the various localities in the hummocky mosaic and 32 mire sites. Table 3.7. Mean (range in brackets) macroinvertebrate densities (numbers m") at the 41 biotic and mire sites in winter (W) and summer (S). Table 3.8. Mean (range in brackets) macroinvertebrate biomasses (mg dry mass m") at 42 the biotic and mire sites in winter (W) and summer (S). Table 3.9. Mean (range in brackets) energy content of macro invertebrates (Id got, dry 44 mass including ash). Table 3.10. Energy standing stocks (Id m-2) in macroinvertebrate biomass at the mire 45 and biotic sites. Table 3.11. Macro-invertebrate density (number/m') m different vegetation types 51 during this and previous studies done at Marion Island. Table 3.12. Macro-invertebrate biomass (dry massugrams/m') in different vegetation 52 types during this and previous studies done at Marion Island. Table 4.1. Age-related characteristics of the right upper molar tooth row of seven age 56 iv classes of Marion Island house mice. Table 4.2. Sex of mice caught at the three sites and of mice caught in different 57 seasons. Table 4.3. Age classes to which pregnant and/or lactating females (P&L), females with 60 perforated vaginae (PY), reproductively non active females (NON) and scrotal and non-scrotal (Non-S) males on Marion Island belonged over 12 months; include both adult and sub-adults. Table 4.4. Mouse densities and macro invertebrate densities and biomasses in 71 spring/early summer, and in autumn/early winter at the biotic and mire sites. Table 4.5. Mouse densities and invertebrate biomass at the end of the breeding season 74 (autumn, early winter) in 1979/80 and 1991/92. Table 4.6. Monthly mean air temperatures in late summer and early winter: averages 76 for 1979 and 1980 compared with those for 1991 and 1992. Table 5.1. Slope and intercept coefficients (± standard errors) of the regressions of 81 mass, body length, tail length and total length against age class. Table 5.2. Mean (± standard deviation) mass, body length, tail length, total length and 82 age class of all male and female mice trapped in the study. Table 5.3. Mean (± standard deviation) mass, body length, tail length, total length and 85 age class of male and female mice at the three sites. Table 5.4. Mean masses and lengths of male and female mice in each of the three sites. 86 Table 5.5. Body length: tail length ratios of mice caught or born in different seasons. 94 Table 5.6. Mean intestinal lengths (mm) of male and female mice at the three sites. 98 Table 5.7. Between-site contrasts of SI:TI, LI:TI and C:TI ratios for male and female 100 nuce. Table 5.8. Mean intestine lengths of male and female mice of different reproductive 104 v states. Table 5.9. Mean kidney mass, kidney index (=kidney mass/body mass) and adrenal 106 mass of male and female mice at each of the three sites. Table 5.10. Between-sex differences in kidney and adrenal masses, and kidney index 107 for mice of different reproductive states. Table 6.1. Percentage occurrence in, and volume contribution to, the contents of 123 mouse stomachs by various diet items at the three sites. Table 6.2. Prey preference of house mice under laboratory conditions on Marion 133 Island. Table 6.3. Prey size (g) preference of seven male and six female house mice and the 134 amount of time (seconds) needed to subdue and eat three prey items under laboratory conditions on Marion Island and the Spearman rank correlation coefficient of mass with time. Table 6.4. Daily consumption, A (g hald') and daily consumption as percentage of 138 mean biomass, B (%) of macroinvertebrate prey items at the biotic and mire sites. vi LIST OF FIGURES Page Figure 2.1. Mean annual surface air temperatures and rainfall at Marion Island. 10 Figure 3.1. House mouse burrow systems on Marion Island. 22 Figure 3.2. Rose diagram for the directions faced by burrow entrances. 27 Figure 3.3. (a, b, c) Monthly mean differences in temperature from that measured just 37 above the canopy, at different positions in the hummocky mosaic site. (d) Mean daily temperature range at these positions. Figure 3.4. Figure 3.4. (a, b, c) Monthly mean differences in temperature from that 38 measured just above the canopy, at different positions in the mire site. (d) Mean daily temperature range at these positions. Figure 4.1. Percentage of mi~e in the various age classes in the four seasons at 58 The three sites. Figure 4.2. Seasonal changes in reproductive status of mice. 61 Figure 4.3. Seasonal changes in the proportion of adult females (age class >2) that 63 were reproductively active and (a) monthly mean temperature, (b) monthly average 'minimum temperature and (c) monthly average maximum temperature during the study period. Figure 4.4. Seasonal changes in the proportion of adult males (age class >2) that 64 were reproductively active and (a) monthly mean temperature, (b) monthly average minimum temperature and (c) monthly average maximum temperature during the study period. Figure 4.5. Seasonal variation in the proportion of reproductively active adult (age 69 class >2) mice in the population and in daylength. Figure 5.1. Relationship between body measurements and age class in Marion Island 80 mice. vii Figure 5.2. Age class distributions of all the male and female mice captured m 83 1992/93. Figure 5.3. Seasonal variation in mean age class for mice (both sexes pooled) at the 88 three sites. Figure 5.4. Seasonal variations in (uncorrected) body measurements for males (solid 89 circles, line) and females (open circles, dashed line). Figure 5.5. Seasonal variations in body measurements, corrcted for age class for 90 males (solid circles, line) and females (open circles, dashed line). Figure 5.6. (a) Seasonal variation in body to tail length ratio for males (solid circles, 92 line) and females (open circles, dashed line). (b) Relationship between body to tail length ratio and age class for male and female mice pooled. Figure 5.7. Relationship between intestine lengths and age class for male and female 96 mice pooled. Figure 5.8. Relationship between intestine lengths and body length for male (closed 97 circles, solid regression line) and females (open circles, dashed regression line). Figure 5.9. Seasonal variations in (uncorrected) intestine length measurements for 101 males (solid circles, line) and females (open circles, dashed line). Figure 5.10. Seasonal variations in intestine length measurements corrected for body 102 length for males (solid circles, line) and females (open circles, dashed line). Figure 5.11. Seasonal variations in kidney and adrenal measurements for males (solid 108 circles, line) and females (open circles, dashed line). Figure 5.12. Body to tail length ratios and mean temperature for the first year of 112 study for four investigators of mouse morphometry carried out at the island. Figure 6.1. Seasonal variation in stomach content mass and stomach content 121 mass:body mass ratio for all mice caught in the study. Figure 6.2. Relative importance values of diet items in the stomachs of mice from the 127 viii three sites. Figure 6.3. (a - e) Seasonal variations In the importance values of the most 129 commonly occurring items in the stomachs of mice from the hummocky mosaic site. (f) Seasonal variations in diet diversity (solid circles, lines) and variety (open circles, stippled lines). Figure 6.4. (a - e) Seasonal variations In the importance values of the most 130 commonly occuring items in the stomachs of mice from the mire site. (f) Seasonal variations in diet diversity (solid circles, lines) and variety (open circles, stippled lines). Figure 6.5. (a - e) Seasonal variations In the importance values of the most 131 commonly occuring items in the stomachs of mice from the biotic site. (f) Seasonal variations in diet diversity (solid circles, lines) and variety (open circles, stippled lines). ix ACKNOWLEDGEMENTS / BEDANKINGS Professor v.R. Smith initiated this study and enabled me to spent 13+ months on Marion Island to do most of the field work for this study. I am indebted to him for this big opportunity, his trust in me, his supervision of my work and the amount and quality of time and energy spent on both me and the project. Ek is ook baie dank verskuldig aan professor O.B. Kok vir sy vertroue, aanmoediging, tyd en besondere leiding tydens hierdie projek. I thank Bruce Blake for his valuable logistical help and discussions on this project, as well as his support as a friend over the past five years (especially during the 13 months on Marion Island where we shared the laboratory). Ek bedank elke lid van die Marion 49-ekspedisie. Hulle belangstelling in die projek en aanvaarding van my as persoon was 'n besondere bron van inspirasie. Elkeen het bygedra tot 'n verrykende en onvergeetlike avontuur. Spesiale dank aan veral Peter Lafite, Andrew Cunningham, C.T. van der Merwe en Tojan Winterbach wat by tye gehelp het met die uitsit van valle of nagwerk onder soms ongure toestande, en Tewis Nel, Michael Putter, Tojan Winterbach en Kevin Language vir meer tegniese hulp. My sincere thanks to everybody who have made a contribution towards this work in the form of discussions and questions, especially Steven Chown, Marianna Smith, John Cooper and Niek Gremmen. A special word of thanks also to Joan Walker for all the time spent on correcting my grammar, but also for her encouragement. Opregte dank ook aan diegene wat raad en hulp verleen het met betrekking tot die tegniese deel van die projek. Hier dink ek aan o.a. dr. Jakobus Swart, dr. Martin van Zyl, mnr. Johan Hugo, mev. Groenewald, Yvonne Attwood en die personeel van Instrumentasie en Elektronika aan die Universiteit van die Oranje Vrystaat. Finansiële en logistiese steun vir die Marioneiland Biologiese Navorsing is gemaak deur die Suid- Afrikaanse Departement van Omgewingsake en Toerisme, onder beskerming van die Suid- Afrikaanse Komitee vir Antarktiese Navorsing (SACAR), sonder wie die projek nie moontlik sou wees rue. x Dr. CM. Engelbrecht en die Raad van die Nasionale Museum word bedank vir hul belangstelling en logistiese steun. Hiersonder sou die verwerking en opskryf van die resultate tot In groot mate onmoontlik gewees het. 'n Baie spesiale dank aan dr. CD. Lynch, Johan Eksteen, Isak Sekhuni, Jacob Senoge en verskeie ander personeellede vir hul belangstelling, aanmoediging en hulp. Laastens, dank aan my ouers en familie vir die besonderse ondersteuning gedurende hierdie studie. Spesiale dank aan Marinda vir haar liefde, geduld en vertroue. Ek dank God vir hierdie fantastiese geleentheid en die persone en ondervindings wat my pad gekruis het gedurende die tyd dat hierdie studie aan die gang was. Alle eer aan Hom. CHAPTER 1: INTRODUCTION 1.1 BACKGROUND AND MOTIVATION FOR THIS STUDY - THE HOUSE MOUSE CONUNDRUM ON MARION ISLAND The highly opportunistic behaviour and reproductive adaptability of house mice Mus musculus enable them to colonize a wide variety of habitats, from cold stores at -200C (Laurie 1946) to hot, semi-arid areas (Newsome & Corbett 1978) and deserts (Bronson 1979). They have colonized at least eight sub-Antarctic islands of which Marion Island (46054'S, 37045'E), where they have been present for the last c. 170 years (Watkins & Cooper 1986), is one. Berry et al. (1978) found the Mus musculus population on the island to be endocyclic, suggesting that temperature-wise it exists close to its physiological limits. They pointed out that temperatures on the island rarely rise above the lower limit where reproduction stops in mice from less extreme climates. Bonner (1984) also considered house mice on sub-Antarctic islands to be living close to the limits of their ecological tolerance. Gleeson (1981) proposed that house mice have become firmly entrenched in the island's ecosystem and have successfully adapted physiologically to cope with the environmental conditions there. He was the first to show that the island's mice, previously thought to be mainly or even exclusively herbivores, feed predominantly on soil macro invertebrates such as insects, snails and spiders. An introduced small mammal predator can be expected to have profound effects on an ecosystem that has evolved in the absence of terrestrial predators larger than a spider. Gleeson & Van Rensburg (1982) and Crafford (1990a) proposed that on the island a state of dynamic, or even stable, ecological equilibrium exists between the mice and their invertebrate prey. Matthewson (1993) stated that, although the initial effects of a predator on an ecosystem that evolved in the virtual absence of predators might initially be large, mice now have little effect on the functioning of the island's ecosystem. He pointed out that the continued existence of plant species and invertebrates consumed by mice on Marion Island despite over 170 years granivory and predation supports the suggestion that a state of equilibrium exists between mice and their food sources. This ignores the fact that only since the early 1970s has there been a reasonably accurate inventory of extant plant and invertebrate species for the island - there is 2 before that. Certainly, there has been a significant change in the composition of the soil macro invertebrate populations, and size class distributions of particular invertebrate species, since the 1970s (Chown and Smith 1993), and also there are very distinct differences in both these parameters between Marion Island and nearby Prince Edward Island where mice do not occur (Crafford and Scholtz 1987). The first indication that mice might be seriously impacting on the ecology of Marion Island came from a study by Rowe-Rowe et al. (1989) who, from double-labelled water measurements of mouse energy metabolism, invertebrate energy contents and mean mouse densities, calculated that mice (at a mean annual density of 37 ha" for the lowland area as a whole; Gleeson 1981) consumed 39.4 kg ha I of invertebrates annually (all biomass and consumption rate values given in this chapter are on a dry mass basis). Moth (Pringleophaga marioni) larvae, weevil larvae and adults, and spiders made up 70% of the mouse diet and, across habitats, the combined mean annual biomass of these prey items was 13.2 kg ha·1 and mice removed 0.7% of this biomass per day, equivalent to 33.2 kg ha", or 2Yz times the biomass, per year. In section 2.5 it is shown that these invertebrates are cardinal agents determining ecosystem structure and functioning on the island, mainly because they feed predominantly on plant litter and the balance between litter accumulation and disappearance is an important factor driving plant community succession on the island and the rate of nutrient release from litter is a major limiting factor in primary production. 'Using the same data as Rowe-Rowe et al. (1989), but considering only moth larvae and the rates at which they consume plant litter (60% of their dry mass per day), Crafford (1990) estimated that in 1989, in the absence of mice, moth larvae consumed about 2 500 kg litter ha- I year", but that mouse predation on larvae decreased this to 1 500 kg ha" year". Matthewson (1993) disputed this and, using the same data as did Rowe-Rowe (1989) and Crafford (1990), calculated that the decrease in litter consumption caused by mouse predation on moth larvae was about two orders of magnitude lower than Crafford's estimate. However, his calculation (37 mice ha" consume 37 x 1.75 g larvae = 65 g larvae in one day; these larvae would have consumed 60% of their mass in litter per day for 365 days, i.e. 14.2 kg per year) is flawed since it considers the effect of only one day's removal of larvae by mice. From it he questioned whether a lowering of litter consumption of 14.2 kg ha" per year, from a 3 mouse-free 14 500 kg ha" per year (Crafford's value) is of any consequence. Matthewson (1993) also used site-specific data in similar calculations to show that in two habitats mouse predation decreased litter consumption by moth larvae by less than 1% of what it would be in the absence of predation In the third habitat consumption was depressed by 31%, but he indicated that this value was too high "due to no habitat specific data on the percentage contribution of P. marioni larvae to the diet of the mice being available". From these results Matthewson concluded that the effect of mice on ecosystem functioning through their influence on litter processing by macro invertebrates "may be less than previously expected". Although Crafford (1990) did not show his calculations, he did give the values he used for the various variables (annual mean density of mice and percentage contribution of moth larvae to their diet, average daily food consumption by mice and litter consumption by larvae) and his estimate that mice decrease litter consumption by 1 000 kg ha" seems plausible, even a little conservative. A very simplistic computation using the same average values of the variables used by Rowe-Rowe et al. (1989) and Crafford (1990) is as follows: 37 mice each consumed 3.5 g food per day, 50% of this was moth larvae, so the average daily removal of moth larvae over the year was 65 g ha", an annual removal of 23.6 kg larvae ha", In essence, because mean removal rates are being considered, this is the biomass of larvae that mice would have caused to be absent from the site for \12 of the year (say 180 days), during which time they would have consumed plant litter at a rate of 60% of their dry mass per day, so they would have consumed 23.6 x 0.6 x 180 = c. 2500 kg litter ha". Whichever value one accepts as indicative of the impact of mice on litter consumption, both are high, especially considering that it refers to the effects of predation on moth larvae only - most of the mouse's other macro invertebrate prey species are also detritivores. But even 1000 kg litter ha-I is 7% of the average annual litter input on the island's lowland area (calculated from primary production values for the dominant lowland vegetation types given in Smith 1987b,c). The results of all the studies carried out so far agree that the amount of macroinvertebrates consumed by mice is high when expressed as a percentage of the mean annual invertebrate biomass. Most of the estimates are between 0.5 and 1% per day and considering that some of the species have long lifecycles (the moth's larval stage exceeds two years, Crafford et al. 4 (1986) these are high rates of removal and imply that appreciable production:biomass ratios are needed to maintain population levels. The only land bird on the island, the Lesser Sheathbill Chionis minor, feeds almost solely on terrestrial macro invertebrates in winter. Kelp gulls also feed occasionally on them. The combined daily consumption by these two birds of moth larvae, spiders, weevil larvae and adults is 16 g dry mass ha" per day (Burger 1978), less than 20% of the daily consumption by mice (Rowe-Rowe 1989). Matthewson (1993) estimated that at three coastal habitats in 1991/92 mice consumed between 4 and 10 times more macro invertebrates than did sheathbills or kelp gulls. Smith and Steenkamp (1990) proposed that mice pose a distinct threat to the sheathbill population and recent results (Huyser et aI., in press) show that the sheathbill population has declined drastically on Marion Island since the mid 1970s. House mice are implicated as having caused this decline from the fact that, in the same period, sheathbill numbers on Prince Edward Island remained constant. Mice are also having a marked impact on some endemic plant species through seed consumption. Distributions, and in many areas densities, of Acaena magellanica, Pringlea antiscorbutica and Uncinia compacta on Marion Island have declined since the 1970s (Steenkamp 1991). Compared with mouse-free Prince Edward Island, the density of Uncinia compacta, especially, is much lower on Marion Island. Mice remove and eat virtually all the seed produced by this plant (Chown and Smith 1993). Skuas, Catharacta antarctica are potentially the only predators of mice on the island. They readily take captured mice offered to them at the meteorological station but there is no record of them chasing or capturing mice in the field. After a presence of c. 40 years, and an eradication program lasting 19 years, the island was finally rid of feral cats (Felis catus) in 1992 (Van Aarde 1996). The influence of the cat population on the island's biota is reviewed in Chapter 2 but none of the studies carried out on either the cats or the mice produced clear evidence as to whether cats had, or did not have, a significant influence on the island's mouse population. The role of mice in ecosystem functioning under a changing climate at the island is discussed in section 2.5. 5 1.2 OBJECTIVES OF THE STUDY This study was carried out on the island from April 1992 to May 1993 and was aimed at he following: (i) A characterization of the temperature regime experienced by house mice on the island and of their microhabitat. (ii) An assessment of the mouse's macroinvertebrate prey preference and of the seasonal variations in the availability of the various prey items and in their contribution to the mouse diet. (iii) An evaluation of the seasonal changes in mouse morphometry and physiology, especially those aspects concerning food assimilation. 6 CHAPTER 2: THE MARION ISLAND BIOME 2.1 TOPOGRAPHY, GEOLOGY AND PAST HISTORY Comprehensive accounts of the island's topography, geology and vulcanology are provided by Langenegger & Verwoerd (1971), Verwoerd (1971) and Chevalier (1986) lts glacial and palaeohistory are described by Schalke and Van Zinderen Bakker (1971), Hall (1978) and Scott (1985). Marion Island and nearby Prince Edward Island are oceanic in every sense: geographically because of their remoteness from continents (Africa is 1 800 km to the north and Antarctica 2 300 km to the south), geologically because they arose from the sea floor by volcanic processes, and ecologically because of the overwhelming climatic and biological influence of the surrounding ocean and because they have never been connected to a continent so their ecosystems and biota have developed in isolation. The two islands are 22 km apart and are thought to have originated at the same time, possibly about Y:z million years ago (Verwoerd 1971). Marion Island is 290 km2 and Prince Edward Island 44 km2 in area. The nearest other sub-Antarctic islands are the Crozet Island Group, 950 km to the east. Both islands are quiescent but in 1980 a small eruption occurred and resulted in fresh lava being deposited on at least two small existing areas ofMarion Island (Verwoerd et al. 1981). The islands were formed during two main periods of volcanic activity resulting in distinct lava types. (i) "Grey lavas": Fine-grained. compact basalts with a grey colour (K-Ar dates between c. 276 000 and 100 000 years, McDougall 1971). These lavas have been subjected to glaciation (Hall 1978). (ii) "Black lavas": Strongly vesicular lavas deposited up to c. 15 000 years ago and have never been glaciated. Marion Island shows a conspicuous radial pattern of grey lava ridges and 7 plateaux, with the valleys and plains covered by black lava; the result of radial faulting which occurred between the two stages of volcanic activity. From glacial tills, Hall (1978) concluded that the island has been subjected to three glaciations during the past 300 000 or so years. Other periglacial evidence suggests that temperature dropped by at least 3.5 oe during the glaciations (Hall 1981), supporting conclusions from palynological investigations (Van Zinderen Bakker 1973) and ocean floor sediment studies carried out near the island (Hays et al. 1976). The glaciers did not completely cover Marion Island and cold-resistant species probably survived the ice ages (Van Zinderen Bakker 1973). Topographically, Marion Island consists of a central highland plateau about 1 000 m above sea level (highest peak is 1 230 m). The plateau contains no vascular vegetation, only a few species of cushion- and ball-forming moss species and lichens. The sides of the plateau slope down to a well-vegetated coastal plain « 300 a.s.l.) that is 3-5 km wide on the northern and eastern sides and much narrower on the southern and western sides. Of the total 290 km2 area about 138 km2 is below 300 m altitude . 2.2 CLIMATE Marion Island's climate is dominated by the very pronounced meteorological characteristics of I the southern circumpolar oceanic region, namely, an unending succession of extra-tropical cyclones with attendant cloudy skies, abundant precipitation and, above all, strong (predominantly westerly) winds. A detailed, but now dated, account of the island's climatic regime is provided by Schulze (1971), based on measurements made at the meteorological station, about 10m a.s.l. on the east coast. The only climate information for higher altitudes is that in Blake (1997), for two sites, 550 and 750 m a.s.!. on the islands eastern side. There is no climatic data for the less sheltered southern and western sides of the island. 8 Based on the data from the meteorological station the following are the main features of the island's climate (values are for the period 1949 to 1997, unless specified otherwise): (i) Low average annual air temperature (c. 5.50C) with small diurnal (mean <30C in summer, <2°C in winter) and seasonal (4.30C) variations. The diurnal temperature range is generally less than 6°C on most days. In every month absolute minimum temperatures are below zero and there are, on average, 16 days with absolute maximum temperatures above 150C during the year. Absolute extremes measured at the weather station during the period 1949-1960 were -6.80C and 22.3°C. Mean "grass-minimum" temperatures, measured 2.5 cm above the ground, for the period 1953 to 1963, varied from -0.70C (September) to 3.50C (February), with an annual mean of L20C. (ii) Very high precipitation (mean = 2 361 mm per annum), mainly in the form of rain and evenly distributed throughout the year, although the late winter months (August - October) are marginally drier. Snow may occur in any month but is most frequent in winter. On average, hail occurs on 15 days per year, and fog 45 days per year. (iii) A high degree of cloudiness and herree low incidence of radiation. Annual hours of sunshine is only 30% of the maximum possible; yearly mean radiation receipt at surface c. 3.5 kW m-2 dayl, compared with c. 7 kW m-2 day-l at the top of the atmosphere. (iv) Constantly high relative humidity (annual mean screen value 83%, range 4%, for 1949- 1960). (v) Strong, predominantly westerly wind. Op. average, gale force winds (>55 km/h) blow for more than an hour on 107 days per year. At present, Marion is 20 of latitude north of the Polar Frontal Zone and is, with the Crozet island group the most "temperate" of the sub-Antarctic islands. According to the climate classification system of Waiter & Lieth (1967), Marion Island climate can be classified as type VIII-IX (oceani~), i.e. an extremely oceanic climate with colder 9 summers than the cold temperate climate of type VIII, and also lacking the cold winters. The island's climate is considerably warmer than type IX, the Arctic climate type. By Troll's climate classification scheme (Troll 1966), which relies on what he considered to be biologically relevant indices, the island is in Zone 14, the zone of highly oceanic, subpolar climates with moderately cold winters (coldest month - 8°C to + 2°C), poor in snow and with cool summers (warmest month + 5°C to + l2°C, annual fluctuation < l3°C). In the southern hemisphere this climate occurs in a belt between c.50° and 600S and incorporates the sub-Antarctic islands, Falkland Islands, New Zealand shelf islands and some of the most northerly maritime Antarctic islands. In the northern hemisphere it is restricted mainly to a few oceanic areas such as the Aleutian Islands and southern Iceland. Between 1949 and 1968 annual mean surface air temperature was fairly constant, or at least did not change in a consistent direction. Since then it has increased significantly, on average by 0.0620C year J, so that the total increase by 1997 was 1.80C (Figure 2.1a). This increase in mean air temperature was strongly associated with corresponding changes in sea surface temperature but only weakly, or not at all, with variations in radiation (Smith & Steenkamp 1990). It was also associated with decreases in total annual precipitation (Figure 2.1b). Smith & Steenkamp 1990) implicate changing atmospheric and oceanic circulation patterns as the causes of all of these changes. Similar warming has been shown at all other sub-Antarctic islands for which there are climatic records (Allison and Keague 1986, Adamson et al. 1988) and has also occurred at some Antarctic islands (Jacka et al. 1984, Lewis Smith 1990) and over the past ten years there has been an increasing interest in effects climate change on the biota and ecosystems of the subpolar region of the southern hemisphere (SCAR 1989, Smith 1993, Chown and Smith 1993, Frenot et al. 1993, Kennedy 1995). Some ecological implications of a changing climate at Marion Island are discussed in section 2.5. 10 6.4 (a) ,..-... U 6.0 0 '-" Il) ..3... Cl:! 5.6 1-0 Il) 0.. 8 Il) E-- 5.2 4.8 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 Year 3000 (b) 2800 ,.-,. 12600 •2400 ~ .~ 2200 ~ 2000 1800 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 Year Figure 2.1. Mean annual surface air temperatures and rainfall at Marion Island (data supplied by South African Weather Bureau). 11 2.3 VEGETATION AND FLORA 2.3.1 Indigenous flora Comprehensive descriptions of the plant communities and the factors that determine their distribution are provided in Huntley (1971) and Gremmen (1981). There are only 24 native vascular plant species, some of which have a wide ecological amplitude and are found in a range of habitats. Mosses (72 species are -lsted but about 100 species actually occur; Smith pers. comm.) and liverworts (35 species) arê an important component of the vegetation. The lichen flora is poorly known; approximately 100 species have been recorded. They are mainly epilithic crustose forms and are found at all altitudes. However, there are no lichen-dominated vegetation formations similar to those occurring in sub-Arctic tundras. 2.3.2 Alien flora Eighteen species of alien vascular plants (inadvertently introduced by man) have been recorded on Marion Island (Gremmen and Smith 1999). Eleven have become naturalized and many of these are increasing in numbers and becoming more widespread on the island. Six species often reach absolute dominance in the invaded areas. One of these, Agrostis stolonifera was introduced at the meteorological station in the 1960s and is now particularly widespread over about Ih of the islands coastal plain. A. stolonifera severely reduces the biodiversity of areas it invades, not only of plants but also of soil fauna (Gremmen et al. 1998). Three of the alien plant species were eradicated when they were discovered. In this decade four new introductions have occurred, three involving species that had been introduced in the past but had disappeared or been eradicated In addition to these 18 species, live trees from South Africa, and various types of vegetable, have been planted in and around the meteorolgical station; the trees in 1950 and 1951 and vegetables at various times up to 1972 None survived for very long. 12 2.3.3 Vegetation From some distance, Marion Island has a hther bleak, monotonous appearance due to the absence of any trees, shrubs, or other tall growing plants. Closer inspection, however, shows that the vegetation is neither sparse nor uniform. Despite the paucity of species, and the low- growing stature of the plants, much of the low altitude vegetation is quite dense and supports a higher phytomass than many temperate or tropical areas (Smith 1976a). Phytosociologically, 41 plant communities have been distinguished at the association or subassociation level (Gremmen 1981). Most prominent factors affecting the distribution and occurrence of these communities are the soil water regime (especially water content and lateral subsurface water movement), the influence of salt spray, and trampling and manuring by seabirds and seals. The main patterns in the island's vegetation are represented by wet-dry and by animal influenced-noninfluenced gradients. A change from organic to mineral soil parallels the wet-dry gradient, which is also associated with a trend from sheltered to strongly exposed conditions. Together, these components account for 65% of the variation in plant species composition and cover (Smith and Steyn 1982). Gremmen (1981) grouped the 41 plant communities into six community complexes, based mainly on their species composition, but also considering structural and ecological factors. (i) The Crassula moschata (salt-spray) complex. Communities of this complex are found only at coastal sites subjected to salt-spray and inundation by waves. (ii) The Callitriche antarctica - Poa cookii (biotic) complex. Consists of several communities, most of which occur on the coastal zone and all are influenced by trampling and manuring by animals. (iii) The Acaena magellanica - Brachythecium (drainage line) complex. Communities of this group occur at sites having a more or less strong lateral movement through the soil or at the soil surface, such as in springs, flushes and drainage lines. 13 (iv) The Juncus scheuchzerioides - Blepharidophyllum densifolium (mire and bog) complex. Communities of this group form the vegetation of the island's mires and bogs and are dominated by bryophytes and graminoid plants. (v) The Blechnum penna-marina (slope or fernbrake) complex. Communities of this complex dominate the vegetation of well-drained lowlan~ slopes and consist of carpets of the fern B. penna-marina. (vi) The Andreaea - Racomitrium crispulum (feldmark) complex. Cushion-forming species dominate this complex, which occurs on rocky areas exposed to strong winds, and is the dominant vegetation above 300 m altitude. Feldmark communities also occur at lower altitudes where they exhibit up to 60% aerial vegetation covers. 2.4 FAUNA 2.4.1 Indigenous fauna No indigenous land mammals occur on Marion Island, but the island's terrestrial ecosystem is extensively influenced by the activities of ~arine mammals and birds during their terrestrial phases of breeding and moulting. Three seal species (the southern elephant seal Mirounga leonina and the fur seals Arctocephalus tropicalis and A. gazel/a) are found on the island. The total breeding avifauna of Marion Island has been put at more than 2 million pairs, belonging to 29 species (Cooper & Brown 1990; Siegfried 1978, 1982). These birds, chiefly populations of four penguin and 18 Procellariiformes (albatrosses and smaller petrels) species, markedly influence the structure and functioning of the terrestrial ecosystem by transferring energy and nutrients from the surrounding ocean to the island, and/or by causing erosion through trampling and burrowing (Frost 1979). Total annual guano production by populations of 14 surface nesting bird species amounts to about 4 000 tonnes (dry mass) on the coastal plain, of which pengiuns contribute 98% (Siegfried 1978). Nutrient input in inland areas, by populations of the 12 small burrowing petrel and prion species (Procellariidae and 14 Pelecanoididae) has not been quantified, but may be substantial. Only the lesser sheathbill Chionis minor, relies entirely on terrestrial food sources, feeding on soil macroinvertebrates. Kelp gulls Lams dominicanus and Kerguelen terns Sterna virgata also forage for soil invertebrates but get most of their food in the surrounding ocean (Burger 1978). The terrestrial macroinvertebrate fauna of Marion Island is species-poor. There are 18 indigenous insect species (nine beetles, five flies and three moths), four spiders and one land snail (Hanel and Chown 1998). There are also at least three earthworm species. The paucity of species is offset in some lowland habitats by high macroinvertebrate densities. The status of meso-and microinvertebrates is currently largely unknown but species numbers might be appreciable - for instance there are sixty mite species (Hanel and Chown 1998). 2.4.2 Alien fauna Descriptions of the status of alien vertebrate species on Marion Island may be found III Watkins & Cooper (1986) and of the alien macroinvertebrates in Hanel and Chown (1998). The introduced house mouse (Mus musculus) is currently the only land mammal on the island. Aspects of their biology are the subject of this thesis and some results of previous house mouse studies at the island were reviewed in Chapter 1. Domestic cats (Fe/is catus) were introduced to the island in 1949 to control the house mice at the meteorological station. They quickly turned feral, and by 1975 a population of about 2 000 cats posed a real threat to the avifauna, especially small burrowing species (Van Aarde 1979, 1980, Van Aarde & Skinner 1981, Bloomer & Bester 1990). At least one of the cats' prey species (the Common Diving Petrel Pe/ecanoides urinatrix) became locally extinct (Watkins & Cooper 1986). The Grey Petrel also was not seen at the island for several years when the cat population was high. Since burrowing birds are an important source of nutrients to the island's ecosystem, especially in areas away from the coast where other forms of nutrient input are negligible (Smith 1976b), cat predation might be expected to have had a detrimental influence 15 on ecosystem functioning . At the height of their population density in the 1970s (about 2100 cats on the island) they would have removed--l Su 000 burrowing birds to meet their minimum energy requirements (Van Aarde and Skinner 1981). This would have lowered the annual input of guano by c. 9 500 kg (dry mass), assuming that burrowing species spend an average of 100 days on the island (Crafford and Scholtz 1987). Cats were eradicated in 1992 (Van Aarde et al. 1996). It is not known what effect this has had, or will have, on the island's house mouse population. Other vertebrates introduced to the island in the past include two trout species, sheep, goats, pigs, a donkey, a dog, domestic fowls, geese, and two parrots (Watkins & Cooper 1986). None of these are currently found there. Twelve alien insect species are regarded as having become naturalized on the island and a further 15 have been found intermittently, or recorded only once, and are regarded as "transient aliens" (Hanel and Chown 1998). A slug, Deroceras caruanae was introduced to the island in the mid to late 1960s and has since extremely successfully invaded a variety of habitats (Smith 1991). Smith and Steenkamp (1990) argued that an ameliorating climate will be conducive to more alien invertebrates being able establish themselves on the island, and that changing atmospheric circulation patterns associated with climate change might provide opportunities for new organisms to colonize the island. This, along with escalating human activity could greatly increase colonization by cosmopolitan herbivorous insects with a good dispersal ability (Chown and Language 1994, Chown et al. 1998). Similar concerns have been made for the Antarctic region as a whole (Kennedy 1995). Certainly, on Marion Island this seems to be becoming realized - a substantial proportion of the alien insect species on the island were first recorded in the last ten years. 16 2.5 ECOSYSTEM FUNCTIONING Annual primary production on Marion Island is high since the hyperoceanic climate (no very cold or arid periods) allows for a long growing season (Smith 1987b,c). Unlike most vascular plants in northern hemisphere tundra areas, the island's plants are not particularly efficient in conserving nutrients through re-allocation from old or dying tissue, so a considerable amount of "new" nutrients is required to support the high annual production, in fact, primary production is closely coupled to soil nutrient status on the island (Smith 1988). Although seabird and seal manuring is an important source of nutrients at some (mainly shore zone) areas, most plant communities are not affected by this, and pools of available nutrients are small, even by "tundra" standards - for instance the pools of plant-available nitrogen in the island's mires are amongst the lowest found anywhere in the world (Smith 1988). Other forms of nutrient input to these communities, such as through precipitation, biological fixation or weathering of parent rock, supply <1% of the vegetation's annual requirements (Smith 1988). Increasing atmospheric CO2 concentrations and ameliorating temperatures might lead to an even higher primary production and greater requirement for nutrients. Other than the introduced house mouse there are no macro herbivores and even insect herb ivory seems to play a minor role on the island. For instance, Crafford et al. (1986) estimated that insects consume only 3.5% of the aboveground net primary production. Almost all of the energy and nutrients captured by the vegetation thus enters a detritus, rather than grazing, chain (Smith 1977) and nutrient mineralization during decomposition is an important factor limiting uptake of nutrients by, and hence productivity of, the vegetation. However, rates of nutrient release mediated by microorganisms alone are not sufficient to account for even a fraction of the vegetation's annual requirements since microbial decomposition processes on the island are restrained by low temperature and, especially, by excessive soil moisture contents. Soil macroinvertebrates feed on litter and, through excreting the nutrients, as well as by making the egested portion of the litter that they eat more amenable to decomposition by microorganisms. are the main mediators of nutrient mineralization on the island (Smith and Steenkamp 1992a.b) 17 Smith and Steenkamp (1990) proposed sceparios of changes in ecosystem functioning caused by climate change that implicated mice as cardinal agents in the changes. From photosynthetic measurements made at the island and considerations from studies made on northern hemisphere tundra plants they proposed that a doubling of atmospheric CO2 concentrations coupled with a 2°C rise in temperature will allow between 30% and 50% higher assimilation rates than in the 1980s and potentially lead to a higher primary production and a greater requirement for nutrients. Increasing temperature per se will not significantly enhance rates of nutrient release mediated by microorganisms alone, since microbial decomposition processes on the island, although temperature sensitive, are overwhelmingly limited by excessive soil moisture contents (Smith et al. 1993). Foe'Instance, a decrease in precipitation sufficient to halve the moisture contents of the mire' peats would cause a 5 to l l-fold increase in decomposition rate, with concomitant increases in rates of nutrient release. In any event, the effects of changing temperature and moisture levels on microbially-mediated nutrient mineralization will be small compared with the influence of increased temperature on the activities of soil macroinvertebrates. Crafford (1990b) showed that the rate of feeding on litter by the macroinvertebrates increases markedly with temperature, so nutrient release should increase under climatic warming. However, Smith and Steenkamp (1990) suggested that warming will also be associated with increasing mouse numbers and predation on detritivorous macro invertebrates, and proposed that this will exacerbate nutrient limitation on primary production, lead to an imbalance between production and decomposition and change rates of peat accumulation and patterns of vegetation succession on the island. The scenarios proposed by Smith and Steenkamp (1990) led to the initiation of biological studies directed at identifying and quantifying changes in ecosystem structure and function on Marion Island; one of these studies was the project reported on in this thesis. 18 CHAPTER 3: THE MICRO ENVIRONMENT OF HOUSE MICE AT MARION ISLAND 3.1 INTRODUCTION House mice occur over much of Marion Island; they have been trapped up to about 1000 m altitude and in all of the island's plant community complexes. They are increasingly impacting on the island's ecosystem through granivory and by predating on soil macro invertebrates (Rowe-Rowe et al. 1989, Chown and Smith 1993). The latter, especially, affects ecosystem functioning since macro invertebrates are responsible for the bulk of energy flow and nutrient cycling on the island (Crafford 1990a, Smith and Steenkamp 1992). Despite their ecological importance, little attention has been paid to the habitat preferences of the house mice at the island, or of the microenvironment they experience - that at the ground surface, and just under it in burrows. Two major investigations of the population biology of the island's house mouse population concluded that mouse density at a particular site is affected by the availability of food and "refuges" (Gleeson 1981, Matthewson et al. 1994). The nature of refuges was not defined but it seems that they included burrows, aboveground shelters and tunnels made when the mice forage for soil invertebrates. The numbers of refuges were determined for some of the island's 'vegetation types but no attempt was made to estimate the densities, extents or depths of burrows. Both studies showed that the strict seasonality of breeding, and the massive winter mortality, in the island's house mouse population are caused by changes in temperature and food availability. Other studies have also indicated that temperature is an important factor for the house mouse population on the island. Berry et al. (1978) suggested that mice on the island are living close to their physiological limit, pointing out that (air) temperature rarely rises above the lower limits for reproduction in house mice living in less extreme climates and that the mice have morphological adaptations of the types forced by temperature (haemoglobin concentration, haematocrit value, brown fat, heart weight). Webb et al. (1997) showed that the mice show physiological adaptations to cold (basal metabolic rate, minimal thermal conductance). 19 The biological and ecological findings of all these house mouse studies were considered against air temperatures made at the island's meteorological station. None of them attempted to quantify the thermal regime actually experienced by the island's mice. Judging from microclirnate measurements made as part of entomological (Chown and Crafford 1992) and botanical (Huntley 1971, Blake 1997) studies, this will certainly be different from the macroelimatie regime suggested by air temperatures taken 1.2 m above the ground. In this chapter I describe the morphology of mouse burrow systems on the island, including the directions faced by burrow entrances and the types of plant covers in which entrances occur. The densities, depths and dimensions of burrow systems in three habitats are presented and an estimate made of the area I extent to which the mice exploit the belowground component of these habitats. The temperature regimes at the ground surface and in burrow systems are characterized and compared with that above the vegetation canopy. Densities, biomasses and energy contents of the macroinvertebrate prey types are presented for two of the habitats. 3.2 SITES AND METHODS Three sites were studied: 1. A coastal area near Trypot Beach, about one km south of the meteorological station. The dominant vegetation at the site is a Cotula plumosa-dominated herbfield (the Poa cookii - Cotuletum plumosae association of Gremmen 1981) which is typical of coastal areas influenced by manuring by seabirds and seals. Following terminology commonly used in the island's ecological literature for such animal-influenced localities (e.g. Huntley 1971, Gremmen 1981, Smith 1987d), this is referred to here as the "biotic site". 2. A wet swampy area about 700 m south of the meteorological station and adjacent to the biotic site. It contains several of the plant communities belonging to the mire complex of Gremmen (1981), the most common one being the association Lycopodio magellanici - Jamesonielletum coloratae (subassociation ranunculetosum biternati). The vascular vegetation component of this community, and all the others at the site, is dominated by three graminoid species, Agrostis magellanica, Uncinia compacta and Juncus scheuchzerioides. The 20 communities differ mainly in the bryophyte species that understorey these graminoids. All occur on wet peat but the Lycopodio magellanici - Jamesonielletum coloratae association is one of the driest of those in the mire complex. In this account this site will be termed the "mire site". 3. An undulating area adjacent to, and inland of, the mire site. A thin layer of peat mixed with fine volcanic ash covers heaps of rocky and scoriaceous lava, giving the site a hillocky or hummocky appearance. The hummock slopes are well-vegetated, mainly by continuous carpets of the fern Blechnum penna-marina ..This fernbrake association (Isopterygio pulchelli - Blechnetum penna-marinae) is the most dominant community in the site but small patches of mire vegetation occur between the hummocks. The hummock tops are most often rocky and occupied by a fellfield vegetation domirrated by cushion plants and also B. penna-marina. Overall, the site presents the appearance of a hummocky mosaic of fernbrake slopes interrupted by rocky fellfield on the ridges and mire vegetation in the hollows. In this account this site is thus referred to as the "hummocky mosaic site" or simply as the "hummocky site". All the entrances to burrow systems (underground corridors and chambers constructed and used by mice) were located in 90 m x 2 m transects at the three sites. The plant species cover (or other type of cover) in which each entrance occurred was noted. The burrow systems were then carefully excavated and the following noted for each: number of entrances, number, depth and dimensions of corridors and chambers, their contents, whether the burrow system was simple (no side corridors/branches) or complex (with side corridors/branches; following Downs 1989). Four transects were examined at the biotic site, five at the hummocky mosaic site and six at the mire. There were no significant differences in any of the burrow parameters between transects examined in spring (late September to early November 1992) and autumn (May 1993) so the pooled results for the two seasons are presented here. Temperature sensors (precision thermistors, calibrated against a South African Weather Bureau mercury-in-glass thermometer and surrounded by white plastic shields) were deployed in the following positions in the hummocky mosaic and mire sites. Tl. Just above the fern canopy of a fembrake, 15 cm above the soil surface, in the mosaic site. T2. One cm above the soil surface between the fronds, under Tl. 21 ,.' T3. 20 cm from T2, one cm above the soil. surface in a runway through the fern carpet. , T4. Burrow corridor, 38 cm from the burrew entrance, close to T3. TS. One cm above the peat surface of the mire site. T6. Burrow corridor, 33 cm from the entrance. In mire site close to TS. T7. Same corridor as T6 but S cm from entrance. Average, minimum and maximum temperatures over successive 15 minute intervals were logged with a MCS 101 (MC Systems, Cape Town) data logger. Air temperatures just above the vegetation canopy at the mire site were assumed to be the same as at position Tl in the mosaic site since the two sites are so close to each other. Three 90 m transects were established at both the biotic and mire sites and soil cores (8 cm diameter, 10 cm deep) taken at 10 m intervals along each transect in winter (June/July), giving 10cores per transect. Macroinvertebrates in the cores and in the attached aboveground vegetation were extracted by hand and sorted by type. The individuals from the ten cores were bulked, within type, counted, oven-dried and weighed. Numbers and dry masses were converted to densities (numbers per m2) and biomasses (g dry mass per m2). The sampling was repeated in summer (December/January), when cores were taken 1 m to the left of the transects. Energy content of the dried invertebrates was measured using a AH12/EF/2 Newham microcalorimeter (Newham Instruments Ltd, London). 3.3 RESULTS 3.3.1 Burrow system morphology Burrow systems were quite diverse in size and form (Figure 3.1), ranging from small, simple systems less than O.Sm long and consisting of one unbranched corridor and one chamber (some systems in the mire site did not have a chamber) to complexly-branched systems extending over an area of up to 4 m2 and containing up to four chambers. The roofs, walls and floors of corridors were generally of compact peat with protruding roots. Chambers were similar, except that they were frequently roofed by a rock. 2'1 40cm 40cm eo cm ~Ocm c lOOcm Figure 3.1: House mouse burrow systems on Marion Island (C =Nest chambers) 23 Mean burrow system density ranged from JeO to 403 burrow systems per hectare and was not significantly different between sites (Table 3.1). The large systems mostly occurred in the biotic site, where, on average, there were also more chambers per system than at the other two sites. The mean numbers of corridors per system was not significantly different between sites. There were up to eight entrances to a burrow system at the mire, but three or less at the hummocky mosaic and biotic sites. Total number of entrances per hectare (estimated as mean burrow density times mean number of entrances per system) at the mire (mean c. 1000 ha") was greater than at the mosaic (c. 340 ha") or biotic (c. 570 ha") sites. Cross sectional area of the entrances varied from 4 cm2 to 18 cm' with a mean of 14 cm2 across the three sites. In general, the frequency occurrence of entrances under a particular plant species, or in a particular substrate (e.g. in bare peat, rocky crevices), reflected the relative contributions of the plant species or substrate type/ to the overall surface cover at a site (Table 3.2). For instance, 74% of entrances at the hummocky mosaic site occurred under Blechnum penna- marina and Azorella selago, the two species that dominated the vegetation there. Bryophytes covered about half of the surface of the mire site and nearly half the entrances were found in them. The most extensive plant community at the biotic site was a Cotula plumosa-Poa cookii coastal herb field and 50% of entrances occurred under these two species. However, at all three sites the observed frequencies of entrances in some cover types deviated quite markedly from that expected from their relative cover values. For instance, A selago cushions occupied only 15% of the hummocky site surface but contained over half of all entrances. Also, the relative occurrences of entrances in bryophytes at the site is nearly three times higher than expected from the bryophyte cover. There is an under-representation of entrances in mats of B. penna-marina at the hummocky site. At the mire site, entrances are greatly over- represented in albatross nests and the Poa cookii tussocks that surround the nests, and also, in contrast to the hummocky site, in B. penna-marina. There is a paucity of entrances under the grass Agrostis magellanica, the dominant vascular plant species at the site. In contrast, more entrances than expected occurred under A. magellanica in the biotic site. However, the most notable discrepancies at the biotic site were over-representations of entrances in bryophytes (which are quite rare in the site) and in bare peat and rock crevices. Of the 149 entrances studied, 34 did not face any particular direction but opened downwards to a vertical corridor up to 6 cm long. Mostly (30 entrances), these occurred in the mire site Table 3.1. Burrow system densities and numbers of chambers and corridors per burrow system in the three sites. Pand F values are the F-ratios and their significance, from ANOV A testing of the between-site variation. Where superscripts are different, the between-site difference in mean values is significant at P:::;0.05(ANOVA and Tukey's Honest Significant Difference multiple range test). Site No. oftransects Burrow system density Number of entrances Number of chambers Number of corridors studied (mean, range; systems/ha) per burrow system per burrow system per burrow system (mean, range) (mean, range) (mean, range) Hummock } S 300 (167-720) a l.1 (1_2)a 1.1 (1-2) a 1.4 (1-4) a Mire 6 334 (167-500) a 3.0 (I-8) b 1.2 (0-3) a 1.5 (1-4) a Biotic 4 403 (278-500) a 1.4 (1-3) a 1.9 (1-4) b 1.6 (1-4) a I~ F 0.416 19.9 6.25 0.44 P 0.668 < 0.0001 0.003 0.65 25 Table 3.2. Percentage occurrence of burrow entrances under the various plant species (or in other types of surface) at the 3 sites. Where a value in the column "Contribution to ·l" is given a sign it indicates that the difference between the percentage occurrence of entrances is significantly (P- (\Surfs:e of runway --0- Surface of runway .~. Surfs:e be'-1 fronds Ic \ "'0'· Surface between fronds ~ -Ir In burrow. 38cm from enlrlrlce I \I -tr- In burrow, 38cm from entrance /~('l ""'" t- t... u0,__. I b I'./"} / \\b ~ / e ~-Cgl) to... lI,..-t._B ,b b (a) b / . ', / e e"- la 0 a) tl:l -~ ',It a." '.\ 0 '. Á Ic (b) ~ 8 'ë a c, 0 .-_ a a \--.-a-- •a. _ a -_."a---iiajl-a-~.·'e'-- -_.,a,.-a-'. ...c- /a .: Ir -I!('"'" b'\. /'(; .0........ e \"0 . tb f .... a b b ".(..'.l. ~-<>-:-·Q.o. \ 0· b.5 ('l 8 1(>·····<;1·£ ·1 b .' ee 8 ". ./0 ~ "'s-"/ ~ t.t:l ~ Cl ·2 _.- --- ..--- ..--- ..--- .._-.---.--- ..--- ..---.-_ .. aaaaaaaa aaaa Jul Aug Sep Oet Nov Dec Jan Feb Ma- Apr May Jun Jul Aug Sep Oet Nov Dec Jan Feb Mar Apr May Jun Month Month aaaaaaaaaaaa o •. _- .. --- .. ---.-_ .• --- .. ---.---.---.---.---.---. ,,--- ..---~ .... Above canopy -<>- : ce ...Surface of runway ......., .... Above canopy • ..~. Surface between fronds U -o- Surface of runway: -Ir In bWTOW I 38cm from entrance 0,-, ··0·S·wface between fi'lnds IS -Ir In burrow, 3&:m: ~ from entrance : • (c) ~ c .....(d) c'. M ~ 10 & E ~ "•c. --i b tr -6_ -6--t:>- -12 ..-ó- /a a a a ~--6-~ ty a "'tI a -6--6 o a a a a a Jul Aug Sep Oet Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Month Month Figure 3.3. (a, b, c) Monthly mean differences in temperature from that measured just above the canopy, at different positions in the hummocky mosaic site. (d) Mean daily temperature range at these positions. 38 (a) .tb (b) tc b / b e A :\ s:l / -t... .: C..... / A;'b a " 8.. G : b 'a: 0 / c 'jI. - ....ab sS '-"fil cl i c-,S -0C 3 / ....: '.:la a cS: .._g / :' b0 'Ë b ······'\,sc.. i b.; OJ 2 -0 .... Above canopyOJ .5 oS -0- One cm above peat surface...•.. In burrow) 33cm from entrance 8 .Sg -t:r In burrow, 5cm from entranceCe b bI .... Above canopy ~ b b -0- One cm above peat surface is -2 ...... In burrow, 33cm from entrance a a - t:r In burrow, Som from entrance 0 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Month Month (c) b--- (d) .... Above c:onopy2 b -0- One cm above peat surface.. .. .. ...•- In burrow, )Jcm from entrancee --.--... .. ... 20 -/:t In burrow, ëem from entranceE 0e a a ..a... a a- - - a--- a---a.-- a--- -- aa.. a JJ ss 8.. G 0 '-' -2 .:C ., fil S -0 C-+.cg d: • e OIl 16 :l -4 ~ .:C e .s~ ._ a0 \\ s c.. \\ &'" 12 :>a.. s -6 i. OJ \\ .' ' C ~ "0 OJ \\ lo' >.. ..5, oS -8 \\ ~.:./. b -0 8 Q ce . Sg \\ .c~ ~ -10 \\ ...• :::E 0\ .... \\ C Ci a c\ ..... c ais C~"·"·" -.- Above canopy '. -12 --0- One an above peal swflce \ ·····.l..b..·. .~ i ..... In burrow. 33an ft'om _ d~-1 -/Jr In burrow. lan ëen _. ~-i s. ~ Jul Aug Sep OeI Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep OeI Nov Dec Jan Feb Mar Apr May Jun Month Month Figure 3.4. (a, b, c) Monthly mean differences in temperature from that measured just above the canopy, at different positions in the mire site. (d) Mean daily temperature range at these positions. 39 It is clear from Figure 3.3a that, overall, thê-environment just above the ground surface at the mosaic site, whether in the vegetation or in a runway, is a colder one for most of the year than that just above the canopy. Only in May are surface mean temperatures significantly higher than at the top of the canopy. The burrow environment is significantly warmer than above the canopy during Autumn and Winter (March to September but significantly colder in spring and midsummer. Burrows offer a warmer environment than the ground surface for most of the year; only in October and November are mean burrow temperatures not significantly higher than those 1 cm above the ground. Largest differences between burrow and surface or canopy temperature are from May to July, indicating a retention of summer warmth in the soil during the first half of winter. A similar situation may have existed at the mire site (Figure 3.4a), where, for the months that it was measured, mean temperature in the burrow exceeded surface and above-canopy temperatures the most in May. The pattern of mean temperature 1 cm above the mire surface, relative to that at the top of the canopy (Figure 3.4a) contrasts strongly to that shown by surface temperature at the mosaic site (Figure 3.3a). Surface temperatures at the mire were significantly higher than at just , above the canopy from October to May (i.e. the whole of summer). At the mosaic site, surface temperatures were lower than those above the canopy for most of summer. The open canopy at the mire does not appreciably shade the surface so it is able to heat up, even in spring and autumn when sun angles are low. This, with the boundary layer effect of less air movement 1 cm above the ground than at the top of the canopy, should allow considerably higher maximum temperatures to develop at the surface than higher up off the ground, which was what actually occurred for most of the year (Figure 3.4c). In contrast, although the same boundary layer consideration applies (even more so) at the mosaic site, the dense shading by the vegetation did not allow the development of high soil surface temperatures during the day, so that mean maximum values I cm above the ground are significantly lower than at the top of the canopy throughout the year (Figure 3.3c). In burrows, mean maximum temperatures in summer were up to about 13°C lower than at the top of the canopy (Figures 3.3c. 3 -tc) The difference between burrow and above-canopy maxima decreased in winter, down to about 1°C. Minimum temperatures, on the other hand, throughout the year were significantly higher in burrows than above the canopy or 1 cm above the ground (Figures 3.3b, 3.4b). The largest differences between burrow and canopy mean 40 minima (c. 4°C) were during late summer; thereafter the difference decreased steadily so that in late winter and spring it was only about 2.5°C. A feature of the seasonal variation in minimum temperatures at the mosaic site (Figure 3.3b) is that from November to May, the main season for house mouse activity on the island, soil surface minima were significantly higher than at the top of the canopy. At the mire site too temperature minima just above the ground were also higher than above the canopy, although the differences were only significant from January to April (Figure 3.4b). During summer, daily minimum temperatures always occurred at night. Hence the ground surface, with its less extreme temperature minima, represents a less stressful thermal environment than that just above the canopy during the period when mice are most active. 3.3.5 Macroinvertebrate prey species The only significant seasonal difference in macroinvertebrate prey density at the biotic site was that spiders were five times more abundant in winter than in summer (Table 3.7). Spider density was also higher in winter than in summer at the mire site. However, the most marked seasonal differences at the mire were for larvae of the flightless moth Pringleophaga marioni and for larvae and adults of weevils (Ectemnorhinus spp). All of these are important components of the mouse diet at the mire (Chapter 6) and occurred at considerably higher densities in summer than in winter. The most conspicuous between-site difference in macro-invertebrate density was for earthworms, which were 24 times more abundant in winter and 55 times more abundant in summer, at the biotic site than in the mire. The large number of earthworms at the biotic site dominates the inter-site comparison of total macro-invertebrate numbers, which in winter were five times greater, and in summer twice as great, at the biotic site than at the mire. However, because of the marked summer increases in moth larvae and weevil larvae and adults at the mire, summer densities of these three prey types there were significantly higher than at the biotic site. Overall, the between-site and winter-summer differences in macroinvertebrate biomass (Table 3.8) were smaller than the corresponding differences in density. This is because where a prey 41 Table 3.7. Mean (range in brackets) macro invertebrate densities (numbers m") at the biotic and mire sites in winter (W) and summer (S). Asterisks indicate the significance of the difference between adjacent means (from ANOVA and Tukey's Honest Significant Difference test), as ***PSO.OOl, ** PSO.Ol, *PSO.05. Invertebrate Season Biotic site Mire Pringlea marioni W 27 (20 - 40) 33 (20 - 40) larvae ***S 46 (40 - 60) *** 199 (159 - 239) Weavil larvae W 119 (99 - 139) ** 53 (40 - 60)*** S 133 (119-139) *** 418 (398 - 438) Weavil adults W 20 (0 - 40) 0*** S 46 (40 - 60) ** 86 (80 - 99) Slugs W 86 (60 - 99) 60 (40 - 80) S 106 (80 - 139)· ** 20 (0 - 60) Snails W 0 13 (0 - 20) S 0 0 Spiders W 265 (239 - 298) *** 93 (80 - 99)*** ** S 53 (40 - 60) 40 (20 - 60) Ticks W 13 (0 - 40) 0 S 0 0 Earthworms W 1101 (1054 -1174) *** 46 (40 - 60) S 1107 (975 - 1233) *** 20 (0 - 60) Total macro- W 1631 (1571 - 1711) *** 298 (259 - 318) invertebrates ***S 1492 (1372 - 1591) *** 782 (696 - 855) Total excluding W 1545 (1472 -1611) *** 238 (219 -259) slugs ***S 1386 (1273 -1511) *** 762 (696 - 796) 42 Table 3.8. Mean (range in brackets) macro invertebrate biomasses (mg dry mass m") at the biotic and mire sites in winter (W) and summer (S). Asterisks indicate the significance of. the difference between adjacent means (from ANaVA and Tukey's Honest Significant Difference test), as ***P 1-2 Ml: Dentine of cones ti, t2 and t3 not exposed. Dentine of cones t4 to t8 slightly exposed. Dentine of cones t7 and t8 not confluent. M2: Cones t3 to t8 show slight wear. Dentine of cones t5 and t6 is not confluent. M3: Dentine not exposed (no wear). 3 >2-4 Ml: Slight wear of cones t l , t2 and t3. Dentine of cones t4, t5 and t6 is confluent as is that of cones t7 and t8. M2: Noticeable dentine exposure of cone t3. Dentine of cones t5 and t6 becoming confluent. Noticeable wear of cones t7 and t8 which are not confluent. M3: Slight exposure of dentine. 4 >4-9 Ml: Dentine of cones ti and t2 confluent. M2: Dentine of cones t5 and t6 is confluent as is that of cones t7 and t8. M3: Noticeable exposure of dentine. ,5 >9-11 Ml: Dentine of cones t2 and t3 confluent. Dentine of cones t6 and t3 becoming associated. Heavy wear of cones t7 and t8. M2: Dentine of cones t3 and t6 becoming confluent. Dentine of cones t7 and t8 confluent. M3: Heavy wear of all cones. 6 >11-13 Ml: All cones worn heavily. Dentine of cone t3 confluent with that oft6. Dentine oft4 starting to become joined to t7. M2: Dentines of cones t3 and t6, t4 and t7, t6 and t8 are confluent. M3: Dentine of all cones is associated. 7 >13 Ml: Dentine of all cones associated but cones sometimes still discernible. M2: Minimal enamel, dentine of all cones is associated. M3: No enamel, cones not discernible. 57 Table 4.2. Sex of mice caught at the three sites and of mice caught in different seasons. Male Female X2 p All mice 540 398 21.5 <0.001 Biotic site 230 200 2.1 0.15 Hummock site . 125 83 8.5 0.004 Mire site -185 -115 16.3 <0.001 Winter 212 145 12.5 <0.001 Spring 80 41 12.5 <0.001 Summer 159 126 3.8 0.05 Autumn 89 86 0.06 0.81 58 60 Males: winter 80 Males: spring so 70-- Biotic ::::":'" -.- Biouc:. -: "..0..-.. Hummock < ··0 .. Hummockt: >~ 60"3 40 Mire '. , "3 .-..... Mire .S... . :,~' " "0 :. . , S SO 0 30 :. .... 0 40 I ë 3020 -: "- ., ~ ., "- 20 10 .. 10 <. .d ~:'':'':'_.:,."",,,, 0 3 4 6 Class Class 50 Males: summer 60 Males: autumn .,Ill,'. -+- Biotic i 40 50 ........ Bionc i \e. "..0..-... Hummock .".0...'. Hummock .' '~'.Mire .~ "3 40 Mire ... 30 .S... 0 , . 0 30 I20 20 "- lO . cI, .10 ...-- 0 0 2 6 6 Class Class 50 100 aFemales: winter .- Females: spring ..'' -e- Biotic ........ Biotic 40 "0- Hummock 80 "0' Hummock .. "3 ...•- Mire "3 ...•.. Mire .. .S... 30 .S... 60 .•. 0 0 '.' I20 I40 .. .',c, lO "- 20 r;: 0 • -------e----- ...~ .. " .. 0 b------- ... 6 6 Class Class 40 Females: summer 60 Females: autumn '0 50 -<- Biotic '-:.... --0- 30 Hummock"3 40 "''00'' Mire .S... ~ 0..... 0 20 0 30 1 ëg 2010 Q. 10 0 0 0 4 6 Class Class Figure 4.1. Percentage of mice in the various age classes in the four seasons at the three sites. 59 4.3.2 Sexual maturity and seasonality ofrepp.oductive status The seasonal changes in reproductive status were identical at the three sites so the composite ~ sample of mice was used in the analysis that led to the results presented in Table 4.3 and Figure 4.2. Since class 1 and 2 mice were always reproductively inactive (males non-scrotal, females with imperforate vaginas), only age class 3 to 7 individuals (here referred to as "adult" mice) were included in the analysis. Females became reproductively active (perforate vaginas) in age class 3, or 2 to 3 months old (Table 4.3). The lightest perforate mouse weighed 13.3 g. The youngest pregnant and the youngest lactating females were also in class 3. Pregnant or lactating females were found in all age classes greater than class 2; even in class 7, 72% of the females were either pregnant or lactating. The youngest scrotal male was in age class 3 and weighed 13.1 g. Scrotal mice predominated all higher age classes; in fact, all of class 7 and 92% of class 6 males were scrotal. , In June and July none of the females were reproductively active. In August 4% of the females were perforate (Figure 4.2a) and the first pregnant females were found in October. By November all adult females were perforate or pregnant. The incidence of pregnancy peaked in December when just over 50% of adult females were pregnant. By January all adult females were reproductively active (perforate, pregnant or lactating). The last pregnant mice were .found in (late) April and the last lactating and perforate mice in May. After January, but .. especially after March, the proportion of imperforate females increased sharply. At all three sites the youngest females were the first to become sexually inactive (Table 4.3). For instance, in January none of the adult females were imperforate. In February, March and April all imperforate adults were in age class 3. Only in May were imperforate class 4 and 5 individuals found for the first time Scrotal males (one in class 5 and three in class 4) were caught in midwinter (June and July), but formed only a small percentage of the catch (Figure 4.2b). The proportion of scrotal males started increasing after July but rose most sharply, from 25% to over 90%, between August and September. It remained high throughout the whole of spring and summer, until March, after which it declined rapidly. As was the case with females, the first males to become non- reproductive were from the younger classes (Table 4.3). None of the adult classes contained 60 Table 4.3.Age classes to which pregnant and/or lactating females (P&L),females with perforated vaginae (FV), reproductively non active females (NON) and scrotal and non- scrotal (Non-S) males on Marion Island belonged over 12months; include both adult and sub-adults. Month Female Male Reproductive Age Reproductive Age state classes state classes January P&L 6&7 Scrotal 3,4,6& 7 py 3 Non-S 2&3 NON 2 February pP&yL 3-7 Scrotal 3 -73,4& 6 Non-S 2&3 NON 2&3 March Pp&yL 3,4,6& 7 Scrotal 3,4,6& 73&4 Non-S 2-4 NON 2&3 April Pp&yL 3-6 Scrotal 3 -63-6 Non-S 3 NON 2&3 May pP&yL 3,4,5& 7 Scrotal 4&53&4 Non-S 2-5 NON 3 -5 June pP&yL none Scrotal 4&5none Non-S 3 -5 NON 3-6 July Pp&yL none Scrotal 4none Non-S 3 -5 NON 3 -5 August Pp&yL none Scrotal 4-64 Non-S 4&5 NON 3-6 September Pp&yL none Scrotal 4-73-6 Non-S 4 NON 4-6 October Pp&yL 5&6 Scrotal 5-75-7 Non-S 1,5& 6 NON 1,2,&5 7 November pP&yL 4-6 Scrotal 4-75&6 Non-S 5&6 NON none December Pp&yL 3,6& 7 Scrotal 3,5,6& 73&6 Non-S none NON 2&3 61 100 (a) Females --+- Imperforate 80 _.• - Perforate ..•.. Pregnant - .. - Lactating 60 , , \ I ,•, \ , ,I40 • \ 20 -".\'.'-. " ...It..:.,o -'_-.:~ 100 • .. • 80 .. .,., 60 .(b) Males . -+- Scrotal 40 ..•.. Non-scrotal ,, , , 20 .,.. II,... ,a.., .. ,.. 0 .. '.' Jul Aug Sep act Nov Dec Jan Feb Mar Apr May Jun Month Figure 4.2. Seasonal changes in reproductive status of mice. Samples from the three sites were pooled. For convenience, the austral summer months are in the centre. 62 non-scrotal individuals in December. By January some class 3, by March some class 4, and by May some class 5, males had become non-scrotal. Seasonal changes in the proportion of reproductively active adult females and males both reflected reasonably closely the changes in temperature 1 cm above the soil surface (Figures 4.3 and 4.4). Interestingly, in both sexes the incidence of reproductively active mice correlated better with average maxima than with average minima. For both sexes, the incidence of reproductive activity correlated less well with mean monthly air temperatures 1.2 m above the ground at the nearby meteorological station (for females r2= 0.46, P=O.OI, for males r2 = 0.266, P=0.09, data not shown). Despite the significant correlations between soil surface temperature and female reproductive activity in Figure 4.3, the increase in the proportion of reproductively active females in late winter was not synchronous with the main increase in temperature. For instance, the 4 to 60 % increase in the incidence of reproductive activity between August and September was accompanied by only a 0.3 DC increase in mean temperature, a 1 "C increase in average maximum temperature and a 0.2 "C decrease in average minimum temperature. Only after September did the values of the three temperature parameters started to increase sharply toward the summer maxima; for instance between September and October mean temperature rose by 1.9 DC, average maximum by 3.5 DC and average minimum by 1.1 DC. Similarly, in late summer all three temperature parameters started decreasing well before the main decline in the incidence of female reproductive activity. Between February and March mean, average minimimum and maximum values all fell by about 1Y2DC but the proportion of reproductive females remained high at about 90%. However, the big drop in all three temperatures (mean by 4.1 DC, average maximum by 4.7 DC and average minimum by 3.3 DC) occurred two months later (between April and May) and this was associated with a large decline, from 67% to 24%, in the percentage of reproductively active females. By May the values of all three temperature parameters had declined to, or close to, their winter minima and only a few females were still reproductively active. The late winter increase in the incidence of reproductive activity in males started before the main rise in mean and average minimum temperatures - by even more than was the case for females. By September, when mean and minimum temperatures were still close to their midwinter values, almost all males were already scrotal. Rather, the increase in the proportion 63 100 2 9 80 (a) r =0.737 8 6. P=0.00035 ... ti 7 60 6 40 5 4 20 --- % Active ••••!;,: .•. Mean temp. 3 0~~ __~ ~ __~ __~ ~ __~ ~ __~ __~ ~ __~~2 tr: 100 6 C'"'1 2 80 (b) r =0.514 ~ P=0.009 5 ?6 4 f'""+o60 (l) • .A.....•... 3t.. 3"0 40 (a.l.),2 20 r:::--- % Active ·.C·n ri ....t..... Min. temp. ,-.._ o ~~--~----~--~--~----~--~----~--~--~----~--~~ 0 ~0.0 100 2 12(c) r =0.892 80 P=O.OOOO 10 60 8 40 20 -+- % Active 6 o •••.f;.:... Max. temp~~--~----~--~--~----~--~----~--~--~----~--iJ~:..~ 4 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Month Figure 4.3. Seasonal changes in the proportion of adult females (age class >2) that were reproductively active and (a) monthly mean temperature, (b) monthly average minimum temperature and (c) monthly average maximum temperature during the study period. ? is the squared correlation coefficient of the correlation between proportion reproductively active females and the particular temperature parameter. 64 100 9 (a) r2=0.553 80 8 J>.. .. P=0.006..·ti 7 60 ··to·· 6 40 ti 5 ~ % Scrotal 4 20 ..../:;; ......../{ ····IX .. · Mean temp . 3 0 2 - o:~roe 100 t::r2 6 ~=0.328 ~ CJ (b)80 (')ti} P<0.05 5 n -ti}Q) nro 60 .~ 4 -e ,t:.- ••••••• 3 - '1::1 3 "n'0 Q) 40 ""'t 2 ~ .1:: ~ ~ t::e 20 --- % Scrotal ""'~ n"'t Q) A'" .... IX .. · Min. temp ,.-._ ~CJ 0 0 0 Q) o Cl.; '-" 100 12 (C) r2=0.757 80 s P=0.002 10 60 '4 8 40 .~ 20 -.- % Scrotal 6 .... IX ..· Max. temp. 0 4 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Month Figure 4.4. Seasonal changes in the proportion of adult males (age class >2) that were reproductively active and (a) monthly mean temperature, (b) monthly average minimum temperature and (c) monthly average maximum temperature during the study period. r2 is the squared correlation coefficient of the correlation between proportion reproductively active males and the particular temperature parameter. of scrotal males coincided more closely with the rise in average maximum temperature (Figure 4.4c). Unlike with females, the start in the decline in the proportion of reproductively active males coincided exactly with the late summer decreases in the values of all three temperature parameters. 4.4 DISCUSSION The death-trapped samples collected here contained a significant preponderance of males in all seasons but autumn. However, since mice were not trapped out at any of the study sites it is uncertain to what extent to which this reflects the sex ratios of the populations. A study in which 1427 mice were culled the previous year (May 1991 to March 1992) in a coastal area very close to the sites used here showed that sex ratios were significantly biased towards males in all seasons (Matthewson et al. 1994). From capture-and-release results Gleeson (1981) concluded that sex ratio was not significantly different from unity in any of six trapping sessions carried out between May 1979 and April 1980 in the biotic and hummocky sites, and a nearby mire similar to the one studied here. At the same three sites in 1991/92, Matthewson et al. (1994), using capture-and-release results, found significantly more adult (mass> 13 g) males than females in all seasons exceptihg spring, in contrast to what was found in the study reported on here - that males outnumbered females most in winter and spring. Age class composition of captured mice changed markedly during the year in a pattern that was essentially common to all three sites. In spring, older (especially class 6, 11 - 13 months) mice dominated the population. In summer class 6 remained important but class 3 (2 - 4 months) was predominant. Class 3 became even more predominant in autumn, when it comprised 40 - 60% of the males and 50 - 60% of the females across the three sites. In winter, class 4 was the most frequent one for both sexes, except that there were similar numbers of class 3 and 4 females at the biotic site. Age class 6 mice made up, on average over the three sites, 32% of the total population and nearly 40% of the reproductively active group, in spring and summer. These mice would have been in class 3 or 4, and hence reproductively active, the previous summer and autumn. This shows that a substantial proportion of mice that are old enough to breed in one summer probably survives the winter to form an important component of the breeding population 66 throughout much of the following summer. The fact that only 3 of the mice caught in autumn and winter (about 0.5% of the catch) were older than 13 months (class 7), together with the big decrease in class 6 mice between summer and autumn (Figure 4.1) suggests that the onset of winter increases mortality of especially these older mice. The age at which females reach sexual maturity (pregnant or lactating) was the same in this study as in 1991/92 (Matthewson et al. 1994), i.e. age class 3, or from two months old. All younger females were non-reproducrtive (imperforate). Pregnant age class 3 mice were also found in 1979/80 (Gleeson 1981). Eleven "reproductively active" females in age class 2 were also reported for 1979/80 but in that study any female that weighed ;::1:4 g was considered to be reproductively active. On that criterion some of the age class 2 females caught in both studies in the 1990s would also have been considered as reproductive. On the basis that the youngest pregnant mice were in age class 3, and the fact that pregnant age classS females were found at about the same time of the year (December) in the 1979/80 as in the two later studies, it is thought that age at sexual maturity has not changed since 1979/80. From the data presented by Gleeson (1981) it is impossible to ascertain at what age male mice became scrotal in 1979/80. Similarly, although it was recorded .w,hether or not the captured mice were scrotal or not in the 1991/92 study, this information was not provided on a per-age- class basis so comparison with the results presented here cannot be made. Testis mass was used as the criterion for male reproductive activity in 1991/92 and on that basis it was concluded that "males attain sexual maturity at an age of two months" , i.e. age class 3 (Matthew son et al. 1994). However, Matthewson (1993) presents testis mass data from the same study that show that 25% of males in age class 2 were considered to be reproductively active, and 31% as possibly reproductively active. The fact that nearly three quarters of age class 7 females were either pregnant or lactating shows that female mice on the island breed until death, which may occur at more than 13 months. For males too, even the oldest individuals contribute to the sexually active population - all age class 7 males and 92% of age class 6 males caught were scrotal. Berry et al. (1978), estimated the time of birth of 92 Marion Island housemice from their apparent ages when caught and concluded that breeding is probably continuous on Marion 67 Island. The strong pattern found here of a predominance of older mice in spring and summer, and of younger ones in autumn and winter, suggests that breeding is strongly seasonal, and agrees with the findings of the 1979/80 and 1991/92 studies. In 1992/93 there was a strong seasonality in the proportion of reproductively active mice. All females captured in June and July 1992 were imperforate. Four percent of females were perforate in August and this increased to 60% in September. The proportions of reproductively active females (perforate, pregnant or lactating) fell from 88% of adult females in March to 66% in April and 24% in May. The sharpest drop, and the time when less than 50% of adult females become non-reproductive, was therefore between April and May. This suggests that the reproductive season for female mice on the island is from early September to late April. If pregnant or lactating mice are taken as indicators of breeding, these were found for the first time in October and their proportions declined from 66% in March, to 43% in April and 10% in May. Hence, the main breeding season for mice on the island in the 1992/93 summer was October to April, the same as was found the previous summer (Matthewson et al. 1994) when the "season of intense reproductive activity" (based on the period when at least 50% of mice were pregnant or lactating) was from October to April. Although a few males remained scrotal throughout winter, the proportions of scrotal individuals rose very sharply between July and September and decreased as sharply between March and May. If estimated as the period when >50% of the mice are scrotal, then the main reproductive season for males in the 1992/93 season was early September to April, coinciding with the period when females were reproductively active. Matthewson et al. (1994) found that in the previous season the peak reproductive season for males (based on testis weight) was August to March. They did not present the testis weight data but state that "mean testis weight remained low from May to August" and "increased rapidly during September". The same study was reported in more detail by Matthewson (1993) where it is stated that the percentage of adult (body mass> 13 g) males "which were scrotal or had palpable testes remained low from May to August and then increased rapidly from August to September, remaining relatively high until the last trapping session in March". The data presented in that account also clearly shows that the winter minimum in percentage of adult scrotal males occurred in August. Hence the first month of the main reproductive period for males in 1991 was September, as in 1992. The percentage scrotal adult males (81%) in March 1992 was also identical to that reported here for March 1993. Had sampling in the 1991/92 study continued 68 it is likely that a considerable proportion of the scrotal males would have been found in April; in 1993,55 % of adult males were still scrotal in April. Hence, reappraisal of the results of the 1991/92 study suggests that the main season of reproductive activity for males was early September to April, the same as found in 1992/93. The main late winter increase in the proportion of reproductively active mice, especially males, occurred well before mean and average minimum temperatures started to really rise (Figures 4.3 and 4.4). The increase in the incidence of reproductive activity was more synchronised with the average maxima, which rose more sharply, and earlier, than the other two temperature parameters. Toward the end of summer, between February and March, all three temperature parameters started to decrease, simultaneously with a decline in the proportion of scrotal males. In the same period the proportion of pregnant females fell from 36% to 21% (data not shown) but that of perforate and, especially, lactating mice,increased, so that the proportion of reproductively active females remained high until March, and started to really decrease after April. For males then, the start of the decline in reproductive activity coincided with when temperature first started coming down, whereas with females it occurred at least a month afterwards. If, then, temperature is important in influencing housemouse reproduction on the island it seems that rising daily maxima provides the cue for the initiation of reproductive activity. Declining (mean, minima and maxima) temperature signals the onset of cessation of reproduction although the number of lactating females only starts declining later. Other factors that might regulate when mice are reproductively active at the island include photoperiod and food availability. For both sexes the seasonal variation in the percentage mice that are reproductively active was strongly correlated with changes in the monthly mean of daylength (Figure 4.5). The late winter increase in reproductive individuals was closely synchronous with lengthening days and the decline started two (males) or three (females) months after days started shortening. This is a very similar pattern to the seasonal relationship between reproductive activity and temperature and it is likely that the reproduction:daylength relationship is actually a manifestation of the close correspondence between daylength and temperature at the island. From studies that showed that feral housemouse populations do not breed seasonally when subjected to marked seasonal variations in daylength but not temperature, and also from the fact that mice kept in constant darkness breed normally, 69 100 ,., 16 <: -,o ./ 15 80 '." 14 ,, 60 40 -.- Females 10 20 ....... Males ...0. - ... Daylength 0: 9 Females: r2=0.842; P=0.00003 o Males: l=0.820; P=0.00005 8 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Month Figure 4.5. Seasonal variation in the proportion of reproductively active adult (age class >2) mice in the population and in daylength. 70 Bronson (1979) concluded that photoperiodic regulation of reproduction in housemice is weak or absent. In the year before this study was carried out. Matthewson et al. (1994) found that mouse densities increased 6 to 13 fold at the three sites during spring and summer and reached peak values in May. They ascribed the subsequent winter decrease in density to temperature- mediated cessation of breeding and a decline m food supply, but did provide information on by how much food availability actually declined from summer to winter. Mice feed mainly on macroinvertebrates such as insects, snails. earthworms and spiders (Chapter 6, also Gleeson 1981). In Chapter 3 it was shown that densities of moth larvae and weevil adults and larvae (important items in the diet of the island's mice) at the mire site were significantly lower in winter than in summer of 1992/93. At the biotic site there were no significant summer-winter differences in densities of any of the macroinvertebrate components of the mouse diet; in fact spiders actually occurred in higher numbers in winter. Macroinvertebrate densities were not measured in the hummocky mosaic site. To see to what extent food availability, on a per mouse basis, changed between early summer, when the proportion of reproductively active mice was strongly increasing, and early winter, when it was strongly decreasing, macroinvertebrate densities and biomasses at the biotic and mire sites (Chapter 3) were divided by mouse densities reported for these sites by Matthewson et al. (1994) (Table 4.4). By early winter the number of invertebrates per mouse had declined 5 fold at the biotic site and 18 fold at the mire, compared with numbers per mouse in early summer. For the biotic site the decrease in food availability was even greater when considered on the basis of the change in invertebrate biomass per mouse between summer and winter. Hence, at the end of summer the island's housemouse population is faced with decreasing temperatures and a sharp drop in the relative availability of food, and both factors are probably important in causing the decline in reproductive activity (and the sharp decline in mouse density) during early winter. It is especially interesting to compare the seasonality of reproductive activity found in the studies carried out between 1991 and 1993 with that found in 1979/80 (Glee son 1981). In the ~ 1979/80 study mice were live-trapped and snap-trapped during six sessions that varied from 11 to 61 days and some sessions included parts of up to three calendar months. Hence, the resolution of the data is not as fine as those yielded by the monthly sampling used in the 71 Table 4.4. Mouse densities and macroinvertebrate densities and biomasses in spring/early summer, and in autumn/early winter at the biotic and mire sites. Mouse densities are those reported for November and May 1991 at the biotic site and November and June 1991 at the mire site by Matthewson et al. (1994). Macroinvertebrate densities and biomasses are from Table 3.7 and 3.8 and exclude slugs. Spring/early summer Autumn/early winter Biotic site Mouse density (mice ha") 43 242 Macro-invertebrate density (thousands ha" 13860 15450 Macro-invertebrate biomass (kg ha") 145 100 Macro-invertebrates per mouse (thousands mouse") 322 64 Macro-invertebrate biomass per mouse (kg mouse") 3.4 0.4 Mire site Mouse density (mice ha-I) 9 51 Macro-invertebrate density (thousands ha" 7620 2380 Macro-invertebrate biomass (kg ha") 32 11 Macro-invertebrates per mouse (thousands mouse") 847 47 Macro-invertebrate biomass per mouse (kg mouse") 3.6 0.2 72 1991/93 studies and comparison between the two periods is not straightforward, which probably lead Matthewson et al. (1994) to conclude that "the length of the breeding season (in 1991/92) was similar to that recorded earlier (in 1979/80)". However, careful consideration of the data shows that the period of reproductive activity has in fact changed quite markedly since 1979/80. In a trapping session lasting from 31 August to 26 October 1979 (i.e. the whole of September .' and most of October), 52% of the adult males (mass >12.5g) were scrotal (average for the biotic, hummocky and mire sites), compared with 94% in September 1992 (Figure 4.2b) and 100% in September 1991 (Matthewson 1993). In the previous trapping session (27 June to 28 August) 7% of males were scrotal, compared with an average of 15% for July and August 1992 and about 27% for July and August 1991. The lower incidence of scrotal males in late winter/early spring of 1979/80 than in the corresponding periods in 1991 and 199~ suggests that male reproductive activity might have started later in 1979/80. At the end of the 1979/80 summer, in a trapping session from 2 March to 9 April (i.e. almost all of March and about lh of April) an average of64% of males were scrotal, compared with 81% in March 1992 and March 1993 and 55% in April 1992. A mean value for March/April 1993, with the March value weighted to contributes a three times more than the April one, is 75%, higher than the March/April 1980. Hence it seems that male reproductive activity may have started to decline earlier, or at least declined more quickly, in 1979 than in 1993. With females, differences in the onset and cessation of reproductive activity between 1979/80 and 1991/93 are much more distinct. In 1979, no pregnantor lactating mice were found in the trapping session that included the whole of September and most of October. As late as 26 October there were no pregnant or lactating mice in any of the three sites, in contrast to October 1991 when about 12 % of adult females were pregnant (Matthewson et al. 1994), and October 1992 when 38% were either pregnant or lactating. In 1991 pregnant females were present as early as September. It is clear then that the breeding season started at least a month, and possibly 1lh months, earlier in 1991/93 than in 1979/80. Even in a trapping session that included most of November and half of December, only 26% of mice were pregnant or lactating in 1979, compared with 38% (November) and 69% (December) in 1992 and >90% for both months in 1991 (Matthewson 1993). Hence, even well into late spring and early 73 summer, the incidence of pregnant and lactating females was considerably lower in 1979/80 than in 1991 or 1992. In 1980 no pregnant or lactating mice were found at the biotic or mire sites, and only 8% of adult females were pregnant or lactating at the hummocky site, after the first of March (Glee son 1981). In contrast, in March 1992 about 67% of live-trapped adult females at the biotic site were still pregnant or lactating (Matthewson 1993), and about )/3 of snap-trapped females at a nearby coastal site were pregnant (Matthewson et al. 1994). In March 1993, 65% of all adult females from the three sites were pregnant or lactating; in fact, just over 10% of females were still pregnant in April and about 10% still lactating in May. Clearly, the mouse breeding season, if taken as the period when adult females are pregnant or lactating, ended between one and two months later in 1991/93 than in 1979/80. Considered with the earlier appearance of pregnant mice in spring in 1991 and 1992, this is strong evidence that the reproductive season for mice has increased considerably, by at least two months, since 1979/80. The later cessation of breeding in 1992 and 1993 is especially remarkable considering that peak mouse densities at the end of summer were considerably higher than in 1979/80 (at least for the biotic and hummocky mosaic sites; Matthewson et al. 1994). Density and biomass of the prey invertebrates in almost all of the island's habitats have also decreased since the 1970's (Chapter 3), so the availability of food, on a per mouse basis, might be expected to have been lower in 1991/93 than in 1979/80, especially toward autumn and early winter when mouse densities are high. Gleeson (1981) presented seasonal changes in composite biomass values for Pringleophaga marioni larvae, spiders, weevil larvae and weevil adults which, from stomach contents, he considered these to be the main macro invertebrate food items in the mouse diet. Table 4.5 compares the biomass of this group of invertebrates at the biotic and mire site during May and June 1979 with values in June 1992, and mouse densities in May/June 1979 with those in May/June 1991. In 1992, invertebrate biomass in autumn at the biotic site was less than a half, and at the mire site about a quarter, of the corresponding values in 1979 (significance of these differences cannot be assessed since no fiducial limits are available for the 1979 data). In autumn/early winter of 1991 mouse densities at the biotic site were about double those in 1979 (P<0.05; Matthewson et al. 1994) but those at the mire were slightly lower than in 1979 (P>0.05). Assuming mouse densities were the same in 1992 as in 1991 then the "availability" of the four invertebrate food items, on a per mouse basis, 74 Table 4.5. Mouse densities and invertebrate biomass at the end of the breeding season (autumn, early winter) in 1979/80 and 199T/92. The 1979 values are for a sampling period lasting from 10 May to 24 June (Gleeson 1981). The 1991/92 mouse densities are for May (biotic site) and June (mire) 1991 (Matthewson et al. 1994) and the invertebrate biomasses are for June 1992 (winter sample, Table 3.8). Invertebrate biomass comprises moth larvae, weevil larvae and adults and spiders. 1979/80 1991/92 Biotic site Invertebrate biomass (kg ha") 29.1 13.9 Mouse densities (mice ha") 126 242 Invertebrate biomass per mouse (g mouse") 231 57 Mire Invertebrate biomass (kg ha") 21.4 5.9 Mouse densities (mice ha") 66 51 Invertebrate biomass per mouse (g mouse") 324 116 75 was only 1/4 (biotic site) or lh (mire) of that in 1979. Hence, greater competition for food in , 1991/93 was not associated with an earlier ce sat ion of breeding compared with in 1979/80; rather the opposite was true. Ameliorating temperatures were possibly responsible but no microclirnate data are available for 1979/80. Certainly, annual mean air temperature at the nearby meteorological station increased during the 1980s (5.5 °C in 1979 and ) 7 °C in 1980, compared with 5.9 °C to 6.2 °C for 1991/92/93; Smith 1992). However. the comparison is not as clearcut if one considers late summer and early winter separately (Table 46). From February to April mean monthly temperature was higher, but from May to July it was lower, in 1991/92 than in 1979/80. In 1991 and 1992 a high proportion of females were pregnant or lactating in April and there were still lactating mice in May. The fact that no pregnant or lactating mice were found after March 1980, despite the greater availability of macroinvertebrate prey items, was possibly because late summer temperatures were so low, compared with those in the two 1990 studies. 76 Table 4.6. Monthly mean air temperatures in late summer and early winter: averages for 1979 and 1980 compared with those for 1991 and 1992. 1979/80 1991/92 Late summer February 7.8 9.0 March 7.9 8.3 April 6.5 7.9 Early winter May 6.2 6.0 June 5.0 4.4 July 4.6 4.3 77 CHAPTER 5: ON THE MORPHOMETRICS OF MARION ISLAND HOUSE MICE 5.1 INTRODUCTION Body mass and length are mainly genetically determined, but body growth and condition are also dependent on environmental conditions (Jakob et al. 1996; Thorpe 1981). Hence, as with reproduction, sex ratios and age structures (Chapter 4), morphological changes such as in body mass and length, length and shape of intestines, and kidney and adrenal mass, can provide information on a population's response to fluctuating environmental parameters. In this section I relate body mass, body length, intestine shape and length and kidney and adrenal mass to environmental variables in order to better understand the relative degree of both environmental and social stress that Marion Island house mice experience throughout a year in four different vegetation types. Length and shape of mouse intestines have also been related to environmental parameters. Apart from consuming more food, there are other digestive adaptations. that could enable mammals to meet a greater need for nutrients during periods of higher energy needs (such as during reduced environmental temperatures, increased social stress, pregnancy and lactation, diabetes, intestinal resection, and periods of food shortage - Karasov & Diamond 1985). Higher extraction efficiency due to greater intestinal surface area at the macroscopic, microscopic and submicroscopic levels have been described in a number of studies (Buret et al. 1993; Diamond 1987; Karasov & Diamond 1985; Sibly 1981; Williams et al. 1995, and others). By lengthening of the gut (a proliferation of mucosal surface per unit length of intestine - Karasov & Diamond 1985), the intestine is enabled to process more food in a shorter time without any sacrifice in extraction efficiency (increased rates of uptake for all nutrients). Sibly (1981) found that the shape of the alimentary canal affects digestive efficiency and that it also varies with diet. Barry (1976, 1977) showed that, among closely related species, the large intestine is larger, the small intestine smaller and the caeca relatively larger and more complex in herbivores than in both carnivores and omnivores of similar size, as would be expected since the large intestine is important for nutrient and energy absorption 78 from cellulose after it has been broken down by microbial digestion in the caecum (Barry 1976; Schmidt-Nielsen 1985). Such a study has, however, never before been done on an omnivore in which the contribution of animal/plant to the diet fluctuates throughout the year. Bamett (1965) reported heavier kidneys in colder environments and interpreted this as the kidneys having to work harder due to the higher rate of heat production. He also found that kidneys became heavier during pregnancy. Konarzewski & Diamond (1995) found a positive I correlation between basic metabolic rate (BMR.) and inter alia kidney mass of Mus musculus. They suggested that large masses of metabolic active organs are subject to natural selection through evolutionary trade-offs. On the one hand they make high energy budgets possible, but on the other hand they are energetically expensive to maintain. Changes in adrenal mass have been used as an indication of changes in environmental stress in mouse populations (Berry & Jakobsen 1975; Lidicker 1966). Adrenals enlarge (hypertrophy) in response. to stress, especially to cold (Barnett 1965). Feist & Feist (1978) found that cold acclimated voles had an increased ability to synthesize adrenal enzymes. 5.2 MATERIALS AND METHODS Data in this chapter were collected from the same mice caught for study of age class composition and reproductive status in Chapter 4. The sexed, age-classes mice were weighed to the nearest 1 mg (females, with and without gravid uterus) and total and tail length measured to the nearest 1 mm. Mice which had lost part of their tails were excluded from tail-length measurements. Small intestine, large intestine and caecum lengths were measured to the nearest 1 mm (mesenteries were cut and straightened - not stretched, following Schieck & Millar 1985), left kidney and both adrenal glands were weighed to the nearest 1 mg, reproductive state was noted and foetuses weighed to the nearest 1 mg. Processing of the mice was completed within three hours of removal from the traps, during which time they were kept in a fridge at c. 3°e. 79 5.3 RESULTS 5.3.1 Age class, body mass, body and tail lengths Body mass and length both increased with age class (Figures 5.1a & b). The sharpest increase was between class 2 and 3, approximately between age llh and 3 months. Tail length (Figure 5.1c) also increased with age from class 1 to class 4 but did not differ significantly between the higher age classes. If there were obvious signs of tails having been bitten off, or frostbitten, then they were not measured but some class 7 mice had quite short «80 mm), apparently undamaged tails and this caused substantial variability in the tail length data for this class. Total length (body plus tail length) increased with age up to class 6, but especially. markedly between class 2 and 3 (Figure 5.1d). The mass/length versus age class patterns in Figure 5.1 are overall ones for all the mice caught during the study. Almost identical patterns are obtained for individual sites (data not shown), although mean values for particular age classes sometimes differed significantly between sites. Both males and females showed very similar patterns to those in Figure 5.1 but the coefficients of the age class: mass/length regressions are significantly different between the two sexes, excepting in the case of tail length (Table 5.1). The slopes of mass, body length and total length versus age class relationships are significantly smaller, and the intercepts significantly larger, for males than for females. The actual values of the slopes and intercepts are meaningless because the different age classes represent different time intervals but their differences suggest that male mice are born bigger (heavier, with longer bodies), but grow more slowly: than female mice. Mass, body length, tail length and total length means for males were all significantly greater than for females (Table 5.2). However, mean age class (Table 5.2) and also the shape of the age class frequency distribution (Figure 5.2) differed significantly between male and female samples. Age class 4 was the most frequent class for males and class 3 the most frequent for females. Classes 5, 6 and 7 accounted for 41% of the male sample but only 36% of the female sample. If this fact, that the females sampled in the investigation were overall younger than RO I 40 (a) - 100 (b) + I 30 I 1 J -- I ! EE 90 !00 !'-' I s--: 1VJ co:n~ 20 II 1 ~I .... I80I, ~ I 10 • I 70 • ! 1 2 3 4 5 6 7 1 2 3 4 5 6 7 Age class Age class 100 200 (c) (d) - 90 180,.-...ê ê '-' '-' ~ 80 ~ 160 t: t: .~- ~'ii t'0 70 E-< 140 • J • 1 60L_--------------------~ 120'-------- __J234 5 6 7 23456 7 Age class Age class Figure 5.1. Relationship between body measurements and age class in Marion Island mice. 81 Table 5.1. Slope and intercept coefficients (± standard errors) of the regressions of mass, body length, tail length and total length against age class. P indicates the significance level of the between-sex difference in slope or intercept. Slope Intercept Age class versus: Mass Male 3.44 ± 0.11 7.70 ± 0.48 Female 3.91 ±0.13 5.53 ± 0.55 P 0.01 0.01 Body length. Male 4.15±0.2l 70.6 ± 0.94 Female 5.07 ± 0.24 65.8 ± 1.06 P 0.01 0.001 Tail length Male 2.55 ± 0.20 71.3 ± 0.89 Female 2.65 ± 0.25 69.7 ± 1.12 P >0.1 >0.1 Total length Male 6.70 ± 0.32 142.0 ± 1.49 Female 7.7 ± 0.4 136.0 ± 1.79 P 0.05 0.01 82 Table 5.2. Mean (± standard deviation) mass, body length, tail length, total length and age class of all male and female mice trapped in the study. Sex N Mass " Body length Tail length Total length Age class (g) (mm) (mm) (mm) Male 540 22.7 ± 5.1 88.9 ± 7.5 82.5 ± 6.2 17l.4 ± 12.l 4.4 Female 398 2l.9±5.9 87.2 ± 8.9 80.9 ± 7.2 168.0 ± 14.2 4.2 F 5.6 9.4 13.4 14.3 5.2 P 0.02 0.002 0.0003 0.0002 0.02 Fage 0.8 5.2 9.2 10.5 Page 0.4 0.02 0.002 0.001 F is the variance ratio and P is its significance, from analysis of variance (ANOVA). Fageand Pageare the ANOVA statistics if differences in age class between the samples are accounted for by including age class as a covariate in the ANOV A. "Mass excludes fetus mass, which would add 0.2 g to the female mean but the male-female difference is still significant at P<0.05. 83 Males Females 150 .QC-)JS ~ 100 0 ~ Q) ..D S;::s 50 Z 1 234 5 6 7 1 234 5 6 7 Age class Age class Figure 5.2. Age class distributions of all the male and female mice captured in 1992/93. 84 the males is accounted for (Table 5.2, Fageami Pagestatistics), there was no difference in body mass between sexes but males still had longer bodies and tails than females. The between-sex comparisons in Table 5.2 are for the total sample of mice caught in the study. Particular sites showed different permutations of this overall pattern (Table 5.3). Males from the hummocky mosaic and biotic sites were heavier and had longer bodies and tails than females. The mean age class of hummock site females (3.7) was significantly smaller than that of males (4.3) and the age class distribution of the female sample (not shown) was also significantly skewed toward the younger age classes so that 490/0of females (but only 29% of males) were in age class 3 or lower. Accounting for this, none of the male-female differences in mass or length for the hummock site mice are significant at P_:SO.05F.or the biotic site there were no significant between-sex differences in mean age class or in the shape of the age class distribution (not shown) and including age class as covariate in the comparison in fact increases the significance of the male-female differences in mass and length (compare Pand Pagefor this site in Table 5.3). The male and female samples from the mire site had the same mean age class, very similar age class frequency distributions (not shown), and did not differ in body mass, body length or tail length. These across-site disparities in male-female size differences suggest sex specific between-site differences in mass and length and this is examined in Table 5.4. Males from the biotic site were heavier, had longer bodies and were longer overall than males from the other two sites. Biotic site males also had significantly longer tails than mire site males. Examining these differences in more detail (data not presented) showed that biotic site age class 4, 5 and 6 males were all significantly heavier and longer than males in the corresponding classes at the other two sites. Biotic site class 7 males were also heavier and longer than class 7 males from the other two sites but the differences were not significant at P_:SO.05T. he samples of age class 1 and 2 males were too small to do an inter-site comparison. Hummock site females were significantly lighter and had shorter bodies than females from the other two sites (Table 5.4). However, hummock site females were, overall, significantly younger than females from the other two sites and if this is accounted for then for female mice there were no between-site differences in body mass, body length or tail length. A more ss Table 5.3. Mean (± standard deviation) mass. body length, tail length, total length and age class of male and female mice at the three sites. Site Sex N Mass Boch Tail Total length Age (g) ICIl~h length (mm) class (mill) (mm) Hummocky Male 125 21.8±5.1 lr'2~X4 82.8 ± 6.7 170.0 ± 13.5 4.3 mosaic Female 83 19.4 ± 4.4 X1 h ~ X 2 80.1 ± 5.4 163.7 ± 11.8 3.7 F 12.9 XX 8.7 11.1 15.0 P 0.0004 0(10, 0.004 0.001 0.001 Fage 0.4 o O~ 0.4 0.2 Page 0.5 09 0.5 0.7 Mire Male 185 22.1±4.3 88.1 ± 6.4 81.4 ± 5.8 169.5 ± 11.0 4.3 Female 115 22.3 ± 6.0 87.2 ± 8.6 80.6 +6.5 167.8 ± 13.8 4.3 F 0.2 1.0 1.1 1.3 0.05 P 0.6 0.3 0.3 0.3 0.8 Fage 0.9 1.1 1.3 1.7 Page 0.4 0.3 0.3 0.2 Biotic Male 230 23.8 ± 5.5 90.5 ± 7.7 , 83.4 ± 6.0 173.8±11.7 4.5 Female 200 22.7±6.1 88.7 ± 8.9 81.3 ± 8.3 170.0 ± 15.1 4.3 F 3.9 4.7 8.0 8.2 1.0 P 0.04 0.03 0.005 0.004 0.3 Fage 4.8 7.9 8.4 12.3 Page 0.03 0.005 0.004 0.0005 F is the variance ratio and P is its significance, from analysis of variance (ANOV A). Fageand Pag.are the ANOVA statistics if difference in age class between the samples are accounted for by including age class as a covariate in the ANOV A. ·These indicate the significance of the male-female difference in mean age class. The shape of the age class distribution (not shown) differs significantly between sexes for the hummocky site (p=0.005, Kolmogorov-Smirnov test) but not for the other two sites (both, P>O.l). 86 Table 5.4. Mean masses and lengths of male and female mice in each of the three sites. For standard deviations see Table 5.3. Sex Site N Mass Body Tail Total Age (g) length length length class (mm) (mm) (mm) Male Hummock 125 • 21.8a • 87.2· ab82.8 ab a 170.08 a4.4 Mire 185 822.1a • 888.l 8 a 81.48 a 169.5 a a4.3 Biotic 230 b23.8 b b90.5 b b83.4 b b 173.8b a4.4 F 9.3 8.7 5.6 7.7 1.2 P 0.0001 0.0002 0.004 0.0005 0.3" Fage 13.9 12.4 5.9 10.5 Page <0.0001 <0.0001 0.003 <0.0001 Female Hummock 115 "19.4a " 83.6" 880.l a a 163.7" a3.7 Mire 83 b22.3 a b87.2 • "80.6 a ab167.8. b4.3 Biotic 200 b22.7 a b88.78 881.3a b 170.0a b4.4 F 10.4 9.5 0.9 5.6 9.0 P <0.0001 <0.0001 0.4 0.004 0.0001 r., 1.7 2.4 0.8 1.0 Page 0.2 0.09 0.4 0.4 '.' Superscripts to left of means show homologous groupings of sites ignoring age class differences between the samples. Superscripts to the right of means indicate homologous groupings of sites if the age class differences are accounted for. Homologous groupings are by the Spjotvol and Stoline (1973) generalization of Tukey' s test. 87 detailed analysis of inter-site differences for particular age classes (data not presented), showed that biotic site females were slightly heavier than females from the other two sites but the difference was only significant for the age class 5 group. In Chapter 4 it was shown that the annual variation in mean age class was quite similar at the three sites, with maxima occurring in spring or early summer. Age class then declined throughout the rest of summer as newborn mice entered the population. The change in age class composition is examined here in more detail, separately for each site (Figure 5.3). Maximum mean age class was in November (biotic site) or December (hummock and mire sites). Minimum mean age class occurred in April (mire and biotic sites) or May (hummocky site), i.e. in autumn, when breeding ceased. Age class then increased steadily throughout winter as the mouse population at all three sites aged, overall, due to the absence of recruitment of young mice. Monthly variations in body mass, body length, tail length and mean age class of males and females are shown in Figure SA. The strong dependence of mass and body length on age class is manifested by the annual pattern for both (Figures 5Aa,b) closely mimicking age class (Figure SAd). However, peak mass for both males and females occurred in December, two months later than maximum age class for males and one month later than maximum age class for females. With males, body length also peaked two months later than did age class, but for females the length and age class maxima coincided. The monthly variation in tail length (Figure 5Ac) was approximately similar to that of age class excepting that (especially for females) tail length started increasing only at the end of winter (September or October), by which time mean age class had increased from 4 to nearly 6 (this accounted for the weak correlation of tail length with age at higher age class values - Figure 5.lc). Overall, however, monthly variation in age class accounted for a substantial proportion (males 25%, females 22%; both P. xx "' eo 0 o P- i , , ,' . 20 . .~. X6 , ••0, (7' 'ó Jul Sep Nov Jan Mar May Jul Sep Nov Jan Mar May Aug Oct Dec Feb Apr Jun Aug Oct Dec Feb Apr Jun Month Month 176 84 -ee- -e- 17282 '-" 5..c:: ~ .P. -c:: o Q) - " ~ ..., '0 " 2 ~ . . , , ~ 80 .o.... 168 . , I ',' E-< 'ë'o b ,, ..: o f) 78 'cs' 164 Jul Sep Nov Jan Mar May Jul Sep Nov Jan Mar May Aug Oct Dec Feb Apr jun Aug Oct Dec Feb Apr Jun Month Month Figure 5.5. Seasonal variations in body measurements, corrcted for age class for males (solid circles, line) and females (open circles, dashed line). 91 did for males during winter and also dropped significantly between December and January before increasing again in the second half of summer. For both sexes, the spring-summer transition (November to December) marked the sharpest increase, and the autumn-winter transition (May to June) the sharpest decrease, in age-corrected mass. Age-corrected mean body length (Figure 5.5b) showed a similar annual pattern to mass, except that the winter decrease started earlier (April) than was the case for mass (May). Age- corrected tail length (Figure 5.5c) showed a confusing annual pattern, with values decreasing sharply in late winter and increasing equally sharply in spring. For both sexes there was a sharp decrease in age-corrected tail length from December to January, after which values increased again throughout the rest of summer. This midsummer dip in tail length coincided with (but was much larger than) a dip in body length. Age-corrected total body length of both sexes declined throughout autumn and winter, increased sharply to peak values in December, dipped sharply between December and January and then increased again to second peaks in March (Figure 5.5d). An interesting difference between the annual patterns of (age-corrected) body length and tail length is that body length declined after April whereas tail length only started declining after June. In fact, for both sexes corrected body length decreased by about 6mm between April and June, while in the same period tail length increased by 2mm. This suggests a change in body length to tail length (b:t) ratio during autumn .. B:t ratio of hummock site mice was smaller than for mice from the mire or biotic sites (F = 8.7; P> 0.0001, data not shown), but the seasonal changes in b:t were identical at the three sites. Sites were thus collapsed in the annual patterns presented in Figure 5.6a. Although b:t was quite strongly correlated with age class (Figure 5.6b, r2 = 0.26; P = 0.0001), it varied during the year in a slightly different way. (Figure 5.4d). B:t increased markedly from June to OctoberlNovember, coinciding with the main period of increase in age class. However, during the ensuing summer when age class decreased as young mice entered the population b:t remained relatively constant. It declined only in autumn, between April and June, when mean age class hardly changed at all. This autumn decrease represented 85% of the total amplitude of annual variation in b:t. In fact, on an age-corrected basis (data not shown), b:t fell from its highest to its lowest value for both sexes between April and June). Thus there was, in fact, a 92 (a) P, tt / ,-= 1.10 _.0. /,Q) 0"" ........:-::l "'0- t;> -I \ \ Q) \ -6' 1.05 \ o \ CO \ \ 1.00 '-------.l._---L_--'-_-'--_--'-_...I-_"O""___'-------.l._---L _ __.__-'------' Jul Aug Sep Oet Nov Dec Jan Feb Mar Apr May Jun Month 1.20 (b) -1.... 1.15 -,--'E .. 1.10 -,- t Q=t) -'- ;_ l.05 "'C::I -'--o CO 1.00 _L- -'- -'--- 2 3 4 5 6 7 Age class Figure 5.6. (a) Seasonal variation in body to tail length ratio for males (solid circles, line) and females (open circles, dashed line). (b) Relationship between body to tail length ratio and age class for male and female mice pooled. 93 very marked change in b:t ratio in autumn. These temporal differences in b:t are explored further in Table 5.5. The months in which mice were captured were grouped seasonally (based on mean monthly temperature) according to the scheme described in the caption to the table. Winter-caught mice had a significantly smaller mean b:t than mice caught during the rest of the year, even when age class differences between seasons are accounted for. Hence, in winter mice had longer tails relative to their . body length, which is opposite to what might be expected if tail length, or more specifically, tail length in relation to body length, plays a role in regulating heat loss, as implied by Alleri's rule and shown in laboratory-reared mice (Harrison et al, 1959) and suggested for field populations (Thorpe 1981). However, perhaps the season when a mouse is born, or when it is young and growing most rapidly, is a more pertinent determinant of b:t than the season in which it is caught. Birth month was estimated by back-extrapolating from the capture date using the modal age of each age class. This could not be done for class 7 mice, which were excluded from the analysis. Mice born in winter had significantly larger b:t ratios (i.e. shorter tails relative to bodies) than those born in spring or summer, whether or not age class was included as covariate in the analysis (Table 5.5). Mean b:t of spring-born mice was intermediate between these two groups. However, it was shown in Chapter 4 that mice do not breed in winter on the island (although a few might be born in early June) and the "winter-born" group in Table 5.5 is an artefact caused by the coarse resolution of the age class classification, coupled with the use of modal months in the back-extrapolating from capture month to birth month. (The same misconstruction led to an earlier-held belief that mice breed all year round on the island; Berry et al. 1978). Mice in the winter-born group would actually have been mostly born in autumn, although there were some in class 6 that were estimated as having been born in September but might just as likely have been born in spring. Similarly, some older mice estimated as having been born in late summer might have been born in April or May, i.e. autumn. These uncertainties can be partially overcome by considering mice as belonging either to a group that developed through age classes 1 to 4 (the first ca.6 months of their life, during which much of their total growth takes place - Figure 5.1) in winter, or to a group that carried out its early development in summer. The "winter-grown" group includes all mice indicated as having been born in autumn or winter, except for those estimated as having been 94 Table 5.5. Body length:taillength ratios of mice caught or born in different seasons. Spring = October to November, Summer = December to March, Autumn = April and May, Winter = June to September. Body length:taillength ratio Age class Caught in: Spring a i.n ' 5.7 Summer -r.io- 4.1 Autumn a l.09 a 3.7 Winter b l.05 b 4.3 F 19.5 83.8 P <0.0001 <0.0001 Fage 16.9 Page <0.0001 Bom in: Spring a l.07 a 4.6 Summer a l.07 a 3.8 Autumn ab l.08 ab 4.1 Winter b i.io" 4.6 F 6.7 37.3 P 0.0002 <0.0001 Fage 4.7 Page 0.0002 First 6 months of growth m: Winter period l.07 4.2 Summer period l.10 4.4 F 9.9 P 0.002 Fage 7.8 Page 0.005 Superscripts to left of means show homologous groupings of seasons ignoring age class differences between the samples. Superscripts to the right of means indicate homologous groupings of seasons if the age class differences are accounted for. Homologous groupings are by the Spjotvol and Stoline (1973) generalization of Tukey's test. 95 born in September, which, on the basis that mice do not breed in late winter so they are more likely to have been born in spring, are considered as belonging to the group that had its early life in summer. For both males and females. body' length and tail length were both longer for the winter-grown group (data not shown) but the difference in body length was three times as great as the difference in tail length. This caused a significant (P<0.0001) difference in b:t between the two groups, whether differences in mean age class are taken into account or not I (Table 5.5). It appears thus that mice that dev elop in winter have on average, significantly shorter tails in relation to body length than those that develop in summer. This is probably temperature-related; Harrison et al. (1959) showed that b:t ratio of laboratory reared mice is directly affected by temperature during development Reproductively active mice of both sexes had a significantly larger b:t ratio than non- reproductive mice, simply because b:t ratio was positively correlated with age (Figure 5.6b). Interestingly, b:t ratios of non-reproductive males and females were similar, but reproductive females had a significantly larger mean ratio (l.13) than males (1.10; P=0.03) and this could not be ascribed to an age class difference since the age class distribution of the two samples was identical. The difference was due to reproductive females having significantly longer (2.1 mm, on average; P=0.003) bodies than reproductive males; mean t~il length was 0.4 mm greater for females (P=0.6). 5.3.2 Small intestine. large intestine and caecum lengths Small intestine, large intestine, caecum and total intestine lengths increased with increasing age class (Figure 5.7), at least from class 2 up. Intestinal measurements were made on only two class 1 mice so the decreases in values between class 1 and 2 are probably fortuitous. Small intestine, large intestine and caecum lengths were strongly correlated with body length (Figure 5.8). The between-sex differences in the slopes and elevations of the regression lines in the figure are not significant at P:S0.05. Biotic site mice of both sexes had significantly longer small intestines than mice from the hummock and mire sites (Table 5.6). However, if the fact that biotic site mice tended to be larger than mice at the other sites (Table 5.4) is accounted for then there were no significant 96 600 130 a b - 550 - 120s S 5500 E IlO'-" Q) Q) .5 ti 450 'Een 100 ~ Q) .5 .5 =a 400 90 E IJJ 350 300L- I ~ 70 2 345 6 7 2 345 6 7 Age class Age class 32 c d -- 30 -ê 700ê 28 '-" t'-" 26 l600 L _5 Q)24 I 'Esen~~ 22 .5 500 U 20 '3o • f- 18 400 I 2 345 6 7 2 345 6 7 Age class Age class Figure 5.7. Relationship between intestine lengths and age class for male and female mice pooled. 97 160r-----~----~----~----.---~~ r = 0.534 o o r = 0.497 o 0• o e 140 oo 0 o o 1600 • I o oo. •o t tc 120] 500 • .£Q) Q) ·Ë ·Ë £ ~ "/J 22 500 Jul Sep Nov Jan Mar May Jul Sep Nov Jan Mar May Aug act Dec Feb Apr Jun Aug act Dec Feb Apr Jun Month Month Figure 5. 10. Seasonal variations in intestine length measurements corrected for body length for males (solid circles, line) and females (open circles, dashed line). Asterisks indicate where the male-female difference in the monthly mean was significant at P-: ,/"Cl) / "'Q )" Cl.. ~ / \ tJ , E . -0» 250 / \ c , Q) P \ ?, .... ~ • I: \ / tJ lOO , ~ ~ c -0 , / :-2 \ /200 , /\ / '0 :L Il ~ 150 80 Jul Sep Nov Jan Mar Mav Jul Sep Nov Jan Mar May Aug Oct Dec Feb Apr Jun Aug Oct Dec Feb Apr Jun Month Month 12 13 (c) Il I~1 \ I I (d) 1 \, \ -.. 1211 /~ 00 1 \ ? , .E_, -.. 1 00 .\5 I· • \ // '/ q Cl) 11 , ~ 10 , /1 \ E \ Cl) / / ~ "'@ !\ ~ \/, 1 10 \/~,E I I 1 • • I: Q) '- 'd • ., • "'@ 9 \ / "'0 \ 1 ('j • I: Q) --0 9,l- \ / Q)~~ \/ oQ)8 t: 8 0 U Jul Sep Nov Jan Mar May Jul Sep Nov Jan Mar May Aug Oct Dec Feb Apr Jun Aug Oct Dec Feb Apr Jun Month Month Figure 5.11. Seasonal variations in kidney and adrenal measurements for males (solid circles, line) and females (open circles, dashed line). In (d) adrenal mass was corrected for body mass. Asterisks indicate where the male-female difference in the monthly mean was significant at P... ""d 0 ~ 1.02 •1979/80 1.00 .1975/76 5.2 5.4 5.6 5.8 6.0 Annual mean temperature (oC) Figure 5.12. Body to tail length ratios and mean temperature for the first year of study for four investigators of mouse morphometry carried out at the island. 113 length ratio is plotted against annual mean air temperature for the first year of each study (e.g. 1979 for the 1979/80 investigation). Although only based on four samples, the strong positive correlation between temperature and b t rat io is contrary to what is predicted by AlIen's rule and supports conclusions from earlier studies that the rule does not seem to apply for the island's house mouse population (Gleeson 199 I, Matthewson 1993). Possibly, b:t ratio depends on the mouse's overall energy needs. rather than temperature per se. For instance, higher mouse densities will be associated ....n.h increased competition for food and a greater need to conserve energy. One response could be a larger b:t ratio, with its thermoregulatory benefits. The significantly larger b:t ratio found here for mice that grow up in winter, compared with those that grow up in summer IS in line with predictions from AlIen's rule. Comparison with mice from other sub-Antarctic and cool south temperate region islands show that temperature is a poor predictor of b:t ratio across populations, since they all have different founder populations and tail length is strongly genetically determined. For instance, mice at Gough Island (isothermal but significantly warmer climate than Marion Island) have a mean b:t ratio of 1.07 (Rowe-Rowe and Crafford 1992), similar to that of the Marion Island population. Macquarie Island (isothermal but slightly colder than Marion) and South Georgia (considerably colder than Marion) mice both have much larger b:t ratios (l.22 and 1.21 respectively; Berry and Peters 1975, Berry et al. 1979) than at Marion Island. Generally, house mice reach their maximum size well before they reach maximum age, but all three studies carried out to date show that on Marion Island mice increase in size throughout their life; body mass and length both increase with age class right up class 7, (> 13 month old). Matthewson (1993) suggested that this is because the asymptotic mass of the island's mice is high, due genetic factors rather than an adaptation to the environment, and that the long time taken to reach their asymtotic mass is due to this mass being high, rather than because of slow growth rates. The asymptotic mass of Marion Island mice cannot be determined with any confidence but mean mass of age class 7 mice was between 32 and 34.3 g, depending on season, and the heaviest mouse caught was an age class 7 female weighing 4l.3 g. It is instructive to compare house mouse growth on Marion with that on Mana Island (off the SW coast of North Island, New Zealand), since there are several parallels between the two populations (isolation, lack of predators and competitors, strongly seasonal breeding, large seasonal fluctuations in population density). In addition to being warmer, Mana Island difffers from Marion in that its vegetation contains an abundance of vascular plant species, many of 114 which produce large seeds (Timmins et al. 1987), so it is possible that food is less limiting than at Marion Island. On Mana Island, mice reach their estimated asymptotic mass (24 g) quite early, at 6 to 8 months (Efford et al. 1988). Marion Island mice take about 12 months (age classes 5 to 6) to attain this mass, so they do grow more slowly. This could be due to genetic differences but might just as well be related to lower temperature and more limited food resources on Marion Island. The seasonal variations in body mass and length reported here were very similar to those reported from earlier studies (Gleeson 1981, Matthewson 1993) and were associated with a strong seasonal change in age class distribution. Body mass and length were largest in spring and early summer (October to December) when the proportion of older animals in the population was highest. Mean body size then declined sharply in January as sub-adult mice entered the trappable population. It declined further in autumn and early winter due to a high mortality of older (age class >5) mice and the continued recruitment of young mice, and then increased during the second half of winter as the remaining population grew older. However, if these seasonal changes in age class are accounted for, then the male population was actually heavier in summer and autumn than in winter and spring, with a similar situation in females, except that there was a significant dip in age-corrected mean mass and length in January and February. For both sexes there was a well-defined increase in age-corrected mass and length in the transition from spring to summer and an equally well defined decrease in the transition from autumn to winter. If the earlier studies had considered the effect of seasonal variation in mean population age they would almost certainly have shown the same. Intersite differences in mass, body length and tail length were sex-specific, with biotic site males significantly heavier and longer than males from the other two sites, and this was independent of differences in age class composition. In females, age class differences accounted for most of the inter-site variation in body mass and length. However, within age class, biotic site females also tended to be consistently larger than females from the other two sites although the difference was only significant for age class 5. This can perhaps be related to the amount of food-related stress experienced at the different sites. In mammals, nutrition when young can have an influence throughout life and individuals handicapped when young may never catch up. The biotic site had the highest invertebrate prey density and biomass (Chapter 3), but early summer mouse densities at the biotic site are not greater than at the other two sites (in fact, in 1991/92 they were, if anything, higher) so perhaps a greater food 115 availability during the period when the mice were developing through the early age classes allowed for a larger body size at the biotic site. For both sexes, mice at the hummocky mosaic site had relatively shorter small intestines (smaller SI:LI ratio) and relatively longer large intestines and caeca (larger LI:TI and C:TI ratios), than mice from the other two sites, suggesting a greater proportion of plant material in the diet of hummock site mice. Stomach content analysis in fact showed that the importance value (an index integrating the percentage occurrence and volumetric contribution of a diet item) of plants in the mouse diet at the hummocky site was three times greater than that at the mire and more than double that at the biotic site (Chapter 6). Despite the fact that, overall, all the intestinal length variables were significantly positively correlated with body mass and length, there were differences in the patterns of seasonal variation between body size and intestinal lengths. Mean body mass and length started to increase from June, but mean length of the alimentary tract organs started to increase two to three months earlier, i.e. in late summer and autumn. This period is particularly stressful since mouse densities are at their highest, invertebrate prey densities are relatively low and temperature is decreasing. Higher energy demands during reproduction has been shown to be associated to increased intestinal lengths in mice (Barnett 1973) and the fact that reproductively active females had significantly longer small intestines, large intestines and caeca than reproductively active males, whereas there were no corresponding differences for non-reproductive mice, indicates that reproduction is especially taxing for females. The difference in small intestine length was less than that in large intestine length, so reproductive females had smaller mean SI:TI, but larger mean LI:TI ratios than reproductive males Since large intestine and caecum in small omnivorous mammals, lengthen as the contribution of plant material to the diet increases, whereas small intestine length remains unaffected (Schieck & Millar 1985), this suggests that the increased energy demand of female reproduction is met by an increased uptake of plant, rather than animal, material. This was, in fact, the case: the volumetric contribution of plant material to the stomach contents of pregnant and lactating females was, on average over the three sites, 62% greater (F=6.7; P ~ 6 ~ li: 4 0..: 2 4 ~~--~~~--~~~~----~~2 Jul Aug Sep Oet Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oet Nov Dec Jan Feb Mar Apr May Jun Month Month Figure 6.4. (a - e) Seasonal variations in the importance values of the most commonly occuring items in the stomachs of mice from the mire site. (f) Seasonal variations in diet diversity (solid circles, lines) and variety (open circles, stippled lines). J.\1 60 50 (a) (b) ~,8 ~ v 40 ~ :~30 ~ 20 c..; 10 .e\ '.-..• ....... .;-- ' () 0 Jul Aug Sep Oei Nov Dec Jan Feb Mar Apr M.~ Jun Jul Aug Sep Oei Nov Dec Jan Feb Mar Apr May Jun Month Month 50 (C) / \ (d) ~ / \ 10 .: 40 / \ ~ / \ > 8 .tt;:j 30 ,/ \B \ '" ;•.... ,E § 20 / \ / \ 5::: e\ 10 / \....... / 2 .. .e, _ ...... / \ / <,tI • 0 ... - ti Jul Aug Sep Oei Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oei Nov Dec Jan Feb Mar Apr May Jun Month Month 30 , 8r-------~r---------------~--~14(f) -- Diversity25 (e) pI ~ ..0.. Variety I": I 0---0 20 0, -"0 , 12I ~ I E I15 I ~ I 10 < :I:»lo .c I t1> 1: 10 II! I -90% of the total animal remains in the stomach contents at the two sites; moth larvae and adults, weevil larvae and adults, earthworms, spiders and flies. Mean estimated daily impact of mice on all invertebrates during this study was 194. g ha" (dry r mass) at the biotic site and 45 g ha" at the mire (Table 6.4), or total annual consumptions of 70.7 kg ha" and 16.3 kg ha" respectively. Moth larvae made up a substantial proportion of this; at the biotic site the average daily consumption was 107 g ha" or 1.3% of the annual average biomass of larvae, while at the mire 28 g ha", or 0.3% of the average biomass, were consumed per day. Mice impacted most on moth larvae in summer and autumn at the mire site, but in autumn and winter at the mire. The average daily consumption of moth larvae for both sites over the year (67.5 g ha-I) is very similar to that reported for the island's coastal plain as a whole (65 g ha") by Rowe-Rowe et al. (1989). In terms of mass consumed, earthworms were the item taken next most heavily after moth larvae at the biotic site, where they were most impacted on in autumn. However, the average amount consumed per day over the year was only a small fraction of the amount available so that, overall, mice consume about the annual average biomass of earthworms in a year at the biotic site. At the mire site, mice mostly impacted on the earthworm population in winter, but overall in the year only consumed about 1/:; of the average biomass. At both sites, the heaviest impact of mice, in terms of the amount consumed in relation to biomass, was for weevil adults - up to 5 times the annual average biomass was consumed at the biotic site, and daily consumption in winter 13% of the average biomass. This confirms previous reports that mice are having an especially severe impact on weevils, especially adults, at the island (Chown and Smith 1993). 140 CHAPTER 7: CONCLUSIONS AND SUGGESTIONS FOR FURTHER RESEARCH 7.1 Conclusions This study showed that house mice on Marion Island try, through the construction of simplex and complex burrow systems and above-ground runways, evade the worst extremes of a harsh climate. Burrow temperatures seldom drop below 2°C and ground surface temperatures seldom below O°C. Burrowing is thus an important factor in the survival of the island's house mouse population. However, the mouse's life within these burrows is still unknown and studies on social behavioural aspects (e.g. territoriality, huddling) as well as in situ physiological studies (thermogenesis, diurnal range in metabolic rates, energy demands of reproduction, possible torpor) are needed. This study reinforced all previous findings that biotically influenced (seabird and seal manuring) habitats contain the highest numbers of macro invertebrates, almost certainly the reason why they also support the highest mouse populations. The relative contributions of the various prey species to the macroinvertebrate populations have changed over 15 years. One major change is that the relative importance of earthworms has decreased. Another is that an exotic slug (Deroceras caruanae) has become well established and may be displacing some of the indigenous species, such as the sub-Antarctic land snail Notodiscus hookeri. The slug is probably the only macroinvertebrate species on the island that was exposed to mammalian predation in its evolution and it seems to have developed an adaptation that makes it unpalatable to mice since they rarely eat slugs in the laboratory. Overall, mean macroinvertebrate density in summer was about 45% lower during this study (1992/93) than the mean density of 1976/77, while summer biomass is about 60% lower than in 1976/77, which could mean that either macroinvertebrates as a whole became smaller (some did, e.g. weevil adults and spiders, and possibly moth larvae) or that smaller species are becoming more important at the expense of larger ones. All these changes have been shown before and it is most often suggested that house mice are their cause. The composition of the mouse diet has changed since it was first investigated in l-ll 1979/80. Mostly the change was associated \.\ith a lowering in importance of moth larvae in the diet, although they are still the most important item, overall. This decrease was compensated for by increases in the importance of earthworms (winter) and plant material (summer), and also weevil adults and larval' Differences in the diversity and variety of food Ingested over a 12 month period strengthen the idea that the percentage contribution of the different prey types, and therefore the composition and/or density and/or composition of size cla se. of invertebrates, have changed since the 1979/80 study. Where in1979/80 diversity and variety were both lowest during winter, this study found the lowest diversity and variety in summer. Mean estimated daily impact of mice on all invenebrates during this study was 194 g ha" (dry mass) at the biotic site and 45 g ha-! at the mire, or total annual consumptions of 70.7 kg ha" and 16.3 kg ha" respectively. Moth larvae made up a substantial proportion of these values. The mice are almost certainly size selective feeders that switch to other prey items when the preferred (or major) prey item is not available. This "prey-switching" probably plays an important role in their survival under the harsh cond,itions on the island. During the colder periods of low prey density mice were observed to eat a wider variety of prey, with a higher percentage contribution of less favoured food (such as plant matter, aphids, mites, ticks and slugs). The cold, wet and windy conditions, together with the seasonal fluctuations in prey quality and quantity also have an influence on house mouse reproduction on Marion Island. Here mice reach sexual maturity at a later age than generally found elsewhere. Numerous authors have showed that the rate of maturation decreases at low temperatures, poor food quality and/or availability, high density, or a combination of these and other factors. Also, reproductive activities of sexually mature Marion Island males and females from the younger and very old age classes were found to be the first to stop at the onset of adverse conditions (such as low temperature, scarcity of food and population density). This is interpreted as these mice being less competitive for food and space and experiencing higher levels of social stress than mice in the prime of their lives. 142 House mice are seasonal breeders on Marion Island. Here it is assumed that temperature, food supply and social stress level determine the timing of the breeding season. The breeding season is associated collectively with warmer temperatures and higher prey density and -biomass. Female reproductive activity at all vegetation types were significantly correlated with mean daily mean and mean daily minimum temperatures at nearly all positions sampled. Reproductive state of house mouse females, however, correlated best with the temperature where the mice forage (on the ground outside the burrow system, below the vegetation cover). The start of the breeding season is, therefore, associated with an increase in temperature after winter, when mouse densities are low. The cessation of breeding at the end of April is associated with a decrease in temperature and an expected simultaneous seasonal decline in food supply (qualitative and quantitative) and high mouse density. The fact that male mice on Marion Island become reproductively active earlier in the season than females can be explained by the fact that the basic energy requirements for reproduction are lower for males than for females. Male reproduction is, therefore, consequently less affected by harsh environmental conditions. The fact that male reproductive condition declined from late autumn to late winter on Marion Island is further proof of the severe environmental stress that Marion mice experience during this time of year. The fact that not all males at the mire site were non-scrotal during the mid-winter months, as well as the fact that mire females became reproductively active one month before those at any of the other sites may prove that mire mice experience less stress during winter than mice at the other vegetation types. From the period when a significant proportion of females were pregnant or lactating it is concluded that breeding started earlier in 1992 than in 1979/80, and stopped later; the length of the breeding season has therefore increased, possibly by as much as 2 months. This is almost certainly due to ameliorating temperatures. The peak season for male reproductive activity lasted for the 7 months of September to April. The age structure of Marion Island house nuce is characteristic of a seasonal breeding population. The very young and old individuals were thus absent during the harshest time of the year. Differences in age composition between habitats can be attributed to differences in the survival rate of mice at the different sites, as well as differences in the time of onset of reproduction (indirectly attributed to possible differences in temperature experienced, refuge availability and differences in prey density and biomass). Differences in age structure and onset 143 and cessation of reproduction between specific nuce groups suggest that Marion nuce experience stress differently at different sites, at different times of year, at different ages, between sexes and in different reproductive states. We can deduce that mice experience the least stress at the mire site in winter. Males and subadult female experience the highest levels of stress in winter. Lactating and pregnant females experience the highest, but non- reproductive females the lowest, stress levels towards the end of the breeding season (February - April). Morphometrical measurements (body mass and length, intestine length and composition, and kidney and adrenal mass) confirmed the fact that the mice on Marion Island experience stress differently at different sites, at different times of year, at different ages, between sexes and in different reproductive states. The information on the seasonal variation and sex- or reproduction related differences in body mass and length, or in intestinal parameters are consistent with the conclusions based on the seasonal changes in reproductive status. The morphometric results suggest that mice experience the least stress during winter and spring at the mire but during summer at the biotic site. Throughout the year the hummocky mosaic site is the most stressful of the three investigated. Adult females experience higher stress levels than males during the breeding season only. Males and subadult females experience the highest levels of stress in winter, while adult females experience the highest stress levels in the period October - January, when a high percentage are either pregnant or lactating. At the beginning of the reproductive season, in late August to October, the older males (age classes 4 - 7) experience high stress levels. Towards the end of the breeding season (February - April) the younger adult (age class 3) and oldest (age class 7) males are most stressed. In the period April - June the very young (age class <3) and very old (age class 7) males experience highest stress and there is a high rate of mortality amongst them. Other factors that may have an influence on stress levels are the relative availability of food, high mouse density and social structure. 144 7.2 Suggestions for further research: The Prince Edward Islands Management Plan requires that attention be given to the removal of aliens from these islands. In February 1995 a workshop on "the impact of feral house mice at sub-Antarctic Marion Island and the desirability of eradication" (Chown & Cooper 1995) was held where I made a contribution based on the work presented in this thesis. It was decided that the eradication of mice is feasible but would be prohibitively expensive. It was urged that control measures should be investigated. In the meantime, the presence of a relatively easily studied, alien mammal in a well understood ecosystem that has developed in the absence of mammalian predators and herbivores, and that is experiencing pronounced climate change, offers a wonderful opportunity to carry out fundamental studies on alien invasive biology. With mouse-free Prince Edward as a control, the response of an ecosystem to a highly successful alien organism such as the house mouse, and the adaptations shown by the mouse to what is still a fairly inhospitable ecosystem, are fascinating and profitable topics of investigation. Considering the current situation of a changing temperature regime on the island, and the cardinal and interdependent roles of both mice and their invertebrate prey in the island's ecology, it is imperative that, at minimum, a monitoring programme be put in place to measure mouse densities every year, preferably in AprillMay when values are highest, and at two low- and one high altitude sites. Stomach contents of the captured mice must be documented and invertebrate densities measured at the same time at adjacent, similar sites. Such a monitoring programme would not be too onerous and should not replace current studies on the population biology, energeties and physiological adaptations of the island's house mouse population - it will add to the value of these studies and make the interpretation of their results more meaningful. However, even as a stand-alone effort, the monitoring, although providing a fairly small window of information for each year, will in time yield extremely valuable data for understanding the ecological impacts of mice on the island. Considering our need to understand the island's terrestrial ecosystem so that it can be managed and conserved, there is as much justification for monitoring mice as there is for the current seal and bird monitoring programmes already in place. In fact, it is noteworthy that the bird monitoring ignores the island's Lesser sheathbill population, which is directly threatened by mice. 145 In addition to this monitoring, there is much to be learnt about the feeding biology and physiology of the mice, such as the timing, method and range of foraging, ingestion, egestion and assimilation rates, transit times of food through the gut, possibility of cellulose and chitin digestion, energy allocation patterns and how they are influenced by season, reproductive state and intra-specific competition. Concentrated studies defining the spatial and temporal patterns in the densities and distributions of the soil invertebrate populations, not only for the macroinvertebrates studied to date, but also for groups such as enchytraeids, nematodes, mites and Collembola must be undertaken. This will lead to a very large increase in our understanding of many aspects of the island's biology, much more than merely telling us something more about the island's house mouse population. St'1'11'1ARY This thesis presents the results of a studv of the biotic and abiotic conditions experienced by house mice on Marion Island, their morphological and reproductional adaptations to island conditions, the seasonal changes in their diet. and of the densities and biomasses of their prey items. By establishing burrow systems and sheltered aboveground runways nuce experience a microelimate that is far less harsh than the macroelimatie regime. In terms of warmth, this extends the season of mouse activity significantly compared with what would be allowed by the macroclimate. House mice are opportunistic feeders and this plays a major role in their survival under the harsh conditions on Marion Island. The mice are primarily carnivores and impact severely on soil macroinvertebrate populations, annually removing up to several times the average instantaneous standing crop of some macroinvertebrate populations. Since macroinvertebrates are cardinal agents of ecosystem functioning by being the main mediators of nutrient cycling on the island, their predation by mice has severe ecological implications. Between 1979/80 and 1992/93 the densities and biomasses of the mouse's major invertebrate prey species have decreased. The percentage composition of the various prey types in the macroinvertebrate population has also changed. These changes have caused changes in the composition of the mouse's diet. Seasonal changes in reproductive status, sex ratio, age structure, body mass and length, kidney- and adrenal mass, and length and shape of intestines were determined, in order to provide information concerning the house mouse's response to fluctuating environmental parameters and to assess the levels of stress experienced by mice at different times of the year. Stress levels are influenced by population density, sex, reproductive status, temperature and availability of food. In 1992/93 mice had significantly larger body to tail length ratios than in 1979/80, despite the fact that the island warmed considerably in the interim. This warming has allowed a significantly longer breeding season, perhaps by as much as two months. It is 147 suggested that this is the reason that end of season densities are now considerably higher than in 1979/80. 148 OPSOMMING Hierdie tesis toon die resultate van 'n studie van die biotiese en abiotiese toestande wat deur die huismuis op Marioneiland (46°54' S, 37°45' E) ondervind word - hulle morfologiese en voortplantings-aanpassings by eiland toestande, die seisoenale veranderinge in die dieët, asook die digtheid en biomassas van hulle prooi. Deur die daarstelling van 'n tonnelsisteem en beskutte bogrondse gange, ondervind die muise 'n mikroklimaat wat baie minder vel is as die mikroklimaat regime. In terme van hitte laat dit die seisoen, sover muisaktiwiteite aangaan, toe om baie langer te wees as wat deur die mikroklimaat toegelaat word. Muise is opportunistiese voeders en dit speel 'n groot rol in hulle oorlewing onder die uiterste toestande op Marioneiland. Muise is hoofsaaklik karnivore en het 'n geweldige impak op die grond mikro-invertebraatbevolkings en verwyder jaarliks tot verskeie kere die onmiddelike opbrengs van sekere van die mikro-invertebraatbevolkings. Aangesien mikro-invertebrata van kardinale belang is in die funksionering van die ekosisteem deurdat hulle die beskikbaarstelIers van voedingstof-sirkulering op die eiland is, het die feit dat hulle die prooi van muise is, geweldige ekologiese implikasies. Tussen 1979/80 en 1992/3 het die digthede en biomassas van die invertebraatspesies wat hoofsaaklik die muis se prooi is, verminder. Die persentasie samestelling van die verskeie prooitipes in die mikro-invertebraatbevolkings het ook verander. Hierdie veranderinge het veranderinge in die muis se dieët tot gevolg gehad. Seisoenale veranderinge in geslagtelike status, geslagsverhoudings, ouderdomstruktuur, liggaamsmassa en -lengte, nier- en adrenaalgewig en lengte en die mates van die ingewande is bepaal om inligting ten opsigte van die muis se reaksie op wisselende omgewingsparameters te verkry, asook die stresvlakke deur die muis ondervind op verskeie tye van die jaar. Stresvlakke word beinvloed deur bevolkingsdigtheid, geslag, voortplantingstatus, temperatuur en beskikbaarheid van voedsel. In 1992/93 is betekenisvolle groter liggaam-tot stertlengte verhoudings bepaal as in 1979/80, ten spyte van die feit dat die eiland intussen aansienlike hoër temperature ondervind. Hierdie verwarming het 'n aansienlike langer broeiseisoen tot gevolg, 149 omtrent tot soveel as twee maande. Dit is waarom die veronderstelling daar is dat die digthede aan die einde van die teelseisoen nou aansienlik hoër is as die in 1979/80. 150 REFERENCES ADAMSON, D.A, WHETTON, P. & SELKIRK, P.M. 1988. An analysis of air temperature records for Macquarie Island: decadal warming, ENSO cooling and Southern Hemisphere circulation patterns. Pap Proe R Soc Tasm 122: 107-112. ALLISON, F. & KEAGUE, P.L. 1986. Recent changes in the glaciers of Heard Island. Polar Record23: 255-27l. BARNETT, S.A 1965. Adaptation of mice to cold. Bioi. Rev. 40:5-51. BARNETT, S.A 1973. Maternal processes in the cold-adaptation of mice. Biol. Rev. 48:477-508. BARNETT, S.A & MUNRO, K.M.H. 1971. Persistent corpora lutea of mice in a cold environment. Nature, Lond. 232:406-407. BARNETT, S.A, MUNRO, K.M.H., SMART, I.L. & STODDART, RC. 1975. House mice bred for many generations in two environments. J Zoo/., Lond. 177: 153-169. BARRY, RE. (Jr) 1976. Mucosal surface areas and villous morphology of the small intestine of small mammals: functional interpretations. J Mamma/. 57(2):273-290. BARRY, RE. 1977. Length and absorptive surface area apportionment of segments of the hindgut for eight species of small mammals. J Mammal. 58:419-420. BERRY, RI. & JAKOBSON, M.E. 1975. Adaptation and adaptability in wild-living house mice (Mus musculus). J. Zool.,Lond 176:391-402. BERRY, RI. & PETERS, I. 1975. Macquarie Island house mice: A genetical isolate on a sub- Antarctic island. J Zoo/.,Lond. 176:375-389. 151 BERRY, R.J., BONNER, W.N. & PETERS. J 1979. Natural selection in House mice (Mus musculus) from South Georgia (South Atlantic Ocean). J. Zool.,Lond. 189:385-398. BERRY, R.J., PETERS, J. & VA1\ AARD!-.. R.J. 1978. Sub-Antarctic house nuce: colonization, survival and selection .I ZoolLond. 184:127-141. BLAKE, B.J. 1997. Mieroc/imate and predtetion of photosynthesis at Marion Island. Unpubl. M.Sc. thesis, Univ. of the Orange Free State, Bloemfontein. BLOOMER, J.P. & BESTER, M.N. 1990 Diet of a declining cat Felis catus population on Marion Island. S. Afr. J. Wildl. Res. 20( 1) 1-4. BRONSON, F.H. 1979. The reproductive ecology of the house mouse. Q. Rev. Bió/. 54:265- 299. BURET, A., HARDIN, J., OLSON, M.E. & GALL, D.G. 1993. Adaptation of the small intestine in desert-dwelling animals: Morphology, ultrastructure and electrolyte transport in the jejenum of rabbits, rats, gerbils~and sand rats. Camp. Bioehem. Physio/. 105A(1):157-163. BURGER, A.E. 1978. Terrestrial invertebrates: a food resource for birds at Marion Island. S. Afr. J. Antaret. Res. 8:87-99. CHEV ALlER, L. 1986. Tectonics of Marion and Prince Edward volcanoes (Indian Ocean): results of regional control and edifice dynamics. Tectonophys. 124: 155-175. CHOWN, S.L. & AVENANT. N. 1992. Status of Plutella xylostella at Marion Island six years after its colonisation. S. AF . .J. Antarct. Res. 22:37-40. CHOWN, S.L. & COOPER, J. 1995. The impact offeral house mice at sub-Antarctic Marion Island and the desirability of eradication: report on a workshop held at the University of Pretoria, 16-17 February 1995. Directorate: Antarctica & Islands, Department of Environmental Affairs and Tourism, Pretoria. 152 CHOWN, S.L. & CRAFFORD, lE. 1992. Microhabitat temperatures at Marion Island (46°54'S 37°45'E). S. Afr. J. Antarct. Res. 22(1):51-58. CHOWN, S.L. & LANGUAGE, K. 1994. Recently established Diptera and Lepidoptera on sub-Antarctic Marion Island. Afr. Ent. 2(1):57-60. CHOWN, S.L. & SMITH, V'R. 1993. Climate change and the short-term impact of feral house mice at the sub-Antarctic Prince Edward Islands. Oecologia 96:508-516. CHOWN, S.L., GREMMEN, NJ.M. & GASTON, KJ. 1998. Ecological biogeography of southern ocean islands: species-area relationships, human impacts, and conservation. Am. Nat. 152(4):562-575. COOPER, J. & BROWN, CR. 1990. Ornithological research at the sub-Antarctic Prince Edward Islands: a review of achievements. S. Afr. J. Antarc. Res. 20(2):40-57. COOPER, R.L. & SKINNER, lD. 1978. Importance of termites in the diet of the aardwolf Proteles cristatus in South Africa. S. Afr. J. Zool. 14:5-8. COPSON, G.R. 1986. The diet of the introduced rodents Mus musculus L. and Rat/us rattus L. on Subantarctic Macquarie Island. Aus!. Wildl. Res. 13:441-445. CRAFFORD, lE. 1990a. Patterns of energy flow in populations of the dominant insect consumers on Marion Island Unpubl. Ph.D. thesis, Univ. of Pretoria, Pretoria. CRAFFORD, JE. 1990b. The role of feral house mice in ecosystem functioning on Marion Island. Antarctic ecosystems: ecological change and conservation (ed. by K.R. Kerry and G. Hempel), pp.359-364. Springer, Berlin. CRAFFORD, lE. & CHO\VN, S.L. 1987. PIu/elia xylostella 1,. (Lepidoptera: Plutellidae) on Marion Island. J ent. Soc. sth. Afr. 50( 1):259-260. 153 CRAFFORD, lE. & SCHOLTZ, CH. 1987a. Quantitative differences between the insect faunas of sub-Antarctic Marion and Prince Edward Islands: A result of human intervention? Bioi. Conserv. 40:255-262. CRAFFORD, J.E. & SCHOLTZ, C.H. 1987b. Phenology of stranded kelp degradation by the kelp fly Paractora dreuxi mirabilis (Helcomyzidae) at Marion Island. Polar Biol. 7:289-294. DIAMOND, lM. 1987: Adaptations of intestinal nutrient absorption in mammals. S. Afr. J Science 83: 590-594. DOWNS, C.T. 1989. The ecophysiology offour Gerbil/urns species with special reference to their temperatures and water regulation. Unpubl. Ph.D. thesis, Univ. 'of Natal, Pietermaritzburg. EBERSOLE, lP. & WILSON, lC 1980. Optimal foraging: The responses of Peromyscus leucopus to experimental changes in processing time and hunger. Oecologia 46:80-85. EFFORD, D.G., KARL, B.L. & MOLLER, H. 1988. Population ecology of Mus musculus on Mana Island, New Zealand. J Zoo/., Lond. 216:539-563. FElST, D.D. & FElST, C.F. 1978. Catecholamine synthesizing enzymes In adrenals of seasonally acclimatized voles. .L Appl. Physiol. 44:59-62. FRENOT, Y., GLOAGUEN, l-C., PICOT, G., BOUGeRE, l & BENJAMIN, D. 1993. Azorella selago Hook. used to estimate glacier fluctuations and climatic history in the Kerguelen Islands over the last two centuries. Oecologia 95: 140-144. FROST, P.G.H. 1979. Seabird distribution and the transport of nutrients from marine to terrestrial ecosystems. S. Afr. J. Antarct. Res. 9:20-27. GLEE SON, lP. 1981. Ecology of the house mouse Mus musculus Linnaeus, on Marion Island. Unpubl. M.Sc. thesis, Univ. of Pretoria, Pretoria. 154 GLEESON, J.P. & VAN RENSBURG, PJJ. 1982. Feeding ecology of the house mouse Mus musculus on Marion Island. S. Afr. J. Antarct. Res. 12:34-39. GREMMEN, NJ.M. 1981. The vegetation of the subantarctic islands Marion and Prince Edward. Dr. W. Junk Publishers, The Hague. GREMMEN, NJ.M., CHOWN, S.L. & MARSHALL, DJ. 1998. Impact of the introduced grass Agrostis stolonifera on vegetation and soil fauna communities at Marion Island, sub-Antarctic. Bioi. Conserv. 85 :223-231. GREMMEN, N.J.M. & Sl\1ITH, V.R. 1999. New records of alien vascular plants from Marion and Prince Edward Islands, sub-Antarctic. Polar Biology 21: 401-409. GROBLER, D.C., D.F. TOERIEN & Sl\1ITH, VR. 1987. Bacterial activity in soils of a sub- Antarctic Island. Soil. Biol. Biochem. 19:485-490. HALL, K. 1978. Evidence for Quartemary glaciation of Marion Island (sub-Antarctic) and some implications. In: Antarctic glacial history and world palaeoenvironments (Ed. Van Zinderen Bakker, E.M.). AA Balkema, Rotterdam. HALL, K. 1981. Geology as an aid to climatic-ecological reconstructions: an example from Marion Island. Lamda 3: 18-22. HÁNEL, C. & CHOWN, S.L. 1998. The impact of a small, alien invertebrate on a sub- Antarctic terrestrial ecosystem: Lirnnophyes minimus (Diptera, Chironomidae) at Marion Island. Polar Biology 20:99-106. HARRISON, G.A, MORTON, RJ. & WEINER, J.S. 1959. The growth in weight and tail length of inbred and hybrid mice reared at two different temperatures. Phil. Trans. Ray. Soc. Land. B242:479-516. 155 HAYS, r.n., LOZANO, lA., SHACKLETON, N.J. & IRVING, G. 1976. Reconstruction of the Atlantic and Western Indian Ocean sectors of the 18 000 B.P. Antarctic Ocean. Geol. Soc. Am. Mem. 145:337-372. HUNTLEY, B.J. 1971. Vegetation. In: Marion and Prince Edward Islands (Eds. Van Zinderen Bakker, E.M., Winterbottom, lM. & Dyer, R.A.). A.A. Balkema, Cape Town. HUYSER, 0., RYAN, P.G. & COOPER, J. (in press). Cats, mice and microelimate change: impacts on Lesser Sheathbills at sub-Antarctic Marion Island. JACKA, T.H., CHRISTOU, L. & COOK, B.J. 1984. Data bank of mean monthly and annual surface temperatures for Antarctica, the southern ocean and South Pacific Ocean. ANARE Research Notes 22: 1-97. JAKOB, E.M., MARSHALL, S.D. & UETZ, G.W. 1996. Estimating fitness: a comparison of body condition indices. Oikos 77:61-67. KARASOV, W.H. & DIAMOND, lM. 1985. Digestive adaptations for fueling the cost of endothermy. Science 228: 202-204. KENNEDY, A.D. 1995. Antarctic terrestrial ecosystem response to global environmental change. Annu. Rev. Ecol. Syst. 26:683-704. KONARZEWSKI, M. & DIAMOND, J. 1995. Evolution of basal metabolic rate and organ masses in laboratory mice. Evol. 49(6): 1239-1248. LANGENEGGER, O. & VERWOERD, W.J. 1971. Topographic survey. In: Marion and Prince Edward Islands (Eds. Van Zinderen Bakker, E.M., Winterbottom, lM. & Dyer, R.A.). A.A. Balkema, Cape Town. LEWIS SMITH, R.I. 1990. Signy Island as a paradigm of biological and environmental change in Antarctic terrestrial ecosystems. In: Ecological change and the conservation of 156 Antarctic ecosystems (Eds. Hempel. G. Kerry, K.R.). Proc. 5th SCAR Biology Symposium, Hobart, 1988. Springer- Verlag, Heidelberg. LIDICKER, W.Z. 1966. Ecological observ at lom on a feral house mouse population declining to extinction. Ecol. Monogr. 36 27-~U MATTHEW SON, D.e. 1993. Population h/()/o}.._T),o' f the house mouse (Mus musculus Linnaeus) on Marion Island. Unpubl M Sc thesis, Univ. of Pretoria, Pretoria. MATTHEWSON, D.C., VAN AARDE, R J s: SKINNER, lD. 1994. Population biology of house mice (Mus musculus) on sub-Antarctic Marion island. S. Afr. J. Zool. 29:99-106. McDOUGALL, 1. 1971. Geochronology. In: Marion and Prince Edward Islands '(Eds. Van Zinderen Bakker, E.M., Winterbottom, J.M. & Dyer, R.A). AA Balkema, Cape Town. MYRCHA, A. 1975. Bioenergeties of an experimental population of individual laboratory mice. Acta therial. 20: 175-226. REMMERT, H. 1980. Arctic animal ecology. Springer-Verlag, Berlin Heidelberg. 249 pages. ROWE-ROWE, D.T. & CRAFFORD, lE. 1992. Density, body size and reproduction of feral house mice on Gough Island. S. Afr. J. Zool. 27:1-5. ROWE-ROWE, D.T., GREEN, B. & CRAFFORD, lE. 1989. Estimated impact offeral house mice on sub-Antarctic invertebrates at Marion Island. Polar Bioi. 9:457-460. SCAR 1989. The role of Antarctica in global change. Scientific priorities for the IGBP. ICSU Press, Miami, U.S.A., p26. SCHALKE, HJ.W.G. & VAN ZINDEREN BAKKER, E.M. 1971. History of the vegetation. In: Marion and Prince Edward Islands (Eds. Van Zinderen Bakker, E.M., Winterbottom, lM. & Dyer, R.A.). A.A. Balkema, Cape Town. 157 SCHIECK, l.O. & MllLAR, l.S. 1985. Alimentary tract measurements as indicators of diets of small mammals. Mammalia 49:93-104. SCHMIDT-NIELSEN, K. 1985. Animal physiology: Adaptation and environment. Cambridge University Press, London. SCHULZE B.R. 1971. The climate of Marion Island. In: Marion and Prince Edward Islands (Eds. Van Zinderen Bakker, E.M., Winterbottom, l.M. & Dyer, R.A). AA Balkema, Cape Town. SCOTT, L. 1985. Palynological indications of the Quaternary vegetation history of Marion Island (sub-Antarctic). J. Biogeog. 12:413-431. SIBLY, R.M. 1981. Strategies in digestion and defecation. In: Physiological ecology (Eds. Townsend, CR. & Callow, P.). Sinauer Associates, Inc. Sunderland. SIEGFRlED, W.R. 1978. Ornithological research at the Prince Edward Islands: a review of progress. S. Afr. J. Antarct. Res. 8:30-34. SIEGFRlED, W.R. 1982. The roles of birds in ecological processes affecting the functioning of the terrestrial ecosystem at Subantarctic Marion Island. Comite National Francaise des Reeherehes Antarctiques 51 :493-499. SMITH, V.R. 1976a. Standing crop and nutrient status of Marion Island (sub-Antarctic) vegetation. Jl. S. Afr. Bot. 42:231-263. SMITH, V.R. 1976b. The effect of burrowing species of Procellariidae on the nutrient status of inland tussock grasslands on Marion Island. Jl. S. Afr. Bot. 42:265-272. SMITH, VR. 1978a. Plant ecology of Mar ion Island - A review. S. Afr. J. Antarct. Res. 8:21- 30. 158 SMITH, VR. 1978b. Animal-plant-soil nutrient relationships on Marion Island (sub- Antarctic). Oecologia 32:239-253. SMITH, V'R 1985. Seasonal dynamics of standing crop and chemical composition in Marion Island (sub-Antarctic) vegetation. Unpubl. Ph.D. thesis, Univ. of the Orange Free State, Bloemfontein. SMITH, V.R. 1987a. The environment and biota ofMarion Island. S. Afr. J Sci. 83:211-220. SMITH, V.R. 1987b. Production and nutrient dynamics of plant communities on a sub- Antarctic Island. 1. Standing crop and primary production of mire-grasslands. Polar BioI. 7(2):57-75. SMITH, V'R 1987c. Production and nutrient dynamics of plant communities on a sub- Antarctic Island. 2. Standing crop and primary production of fjaeldmark and fernbrakes. Polar BioI. 7(3): 125-144. SMITH, V.R. 1987d. Production and nutrient dynamics of plant communities on a sub- Antarctic Island. 3. Standing stocks, uptake and loss of nutrients in mire-grasslands. Polar BioI. 8, 135-153. SMITH, VR 1988. Production and nutrient dynamics of plant communities on a sub- Antarctic Island. 5. Nutrient budgets and turnover times for mire-grasslands, fjaeldmark and fernbrakes. Polar BioI. 8:255-269. SMITH, V.R. 1991. Terrestrial slug recorded from sub-Antarctic Marion Island. J Molluscan Studies 58:80-81. SMITH, v.R. 1992. Surface air temperatures at Marion Island, sub-Antarctic. S. Afr. J Sci. 88:575-578. SMITH, V.R. 1993. Climate change and ecosystem functioning: a focus for sub-Antarctic research in the 1990's. S. Afr. J Sci. 89:69-71. 159 SMITH, V.R & STEENKAMP, M. 1990. Climatic change and its ecological implications at a subantarctic Island. Oecologia 85: 14-24. SMITH, V.R & STEENKAMP, M. 1992. Macroinvertebrates and litter nutrient release on a sub-Antarctic Island. S. Afr. J. Bot. 58: 105-116. SMITH, V.R, STEENKAMP, M. & FRENCH, D.D. 1993. Soil decomposition potential in relation to environmental factors on Marion Island (sub-Antarctic). Soil Biology and I! Biochemistry 25: 1619-1633. II II SMITH, V.R & STEYN, M.G. 1982. Soil microbial counts in relation to site characteristics at a sub-Antarctic island. Mierob. Ecol. 8:253-266. THORPE, R S. 1981. The morphometries of the mouse. Symp. zool. Soc. Land. 47: 85-125. TIMMINS, S., OGLE, C. & ATKINSON, I. 1987. Vegetation and vascular flora of Mana Island. Bull. Wellington Bot. Soc. 43 :41-63. TROLL, C. 1966. Seasonal climates of the earth. The seasonal course of natural phenomena in different climatic zones of the earth. In: World maps of Climatology (Eds. Landsberg, HA., Lippmann, H., Paffen, K.H & Troll, C.: 19-25. Springer, Berlin. VAN AARDE. RI. 1979. Distribution and density of the feral house cat Fe/is catus on Marion Island. S. Afr. J. Antarct. Res. 9:14-19. VAN AARDE, R.J. 1980. The diet and feeding behaviour of feral cats, Felis catus at Marion Island. S. Afr. J. Wild/. Res. 10:123-128. VAN AARDE, RI., FERREIRA, S., WASSENAAR, T. & ERASMUS, D.G. 1996. With the cats away the mice may play. S. Afr. J. Science 92:357-358. 160 VAN AARDE, RJ. & SKINNER, J.D. 1981. The feral cat population at Marion Island; characteristics, colonization and control. Comite National Francaise des Reeherehes Antarctiques 15:57-64. VAN ZINDEREN BAKKER, E.M. 1973. The glaciation(s) of Marion Island (sub-Antarctic). In: Palaeoecology of Africa, the surrounding islands and Antarctica, Vol.8 (Ed. Van Zinderen Bakker, E.M.). AA Balkema, Cape Town. VERWOERD, W.J. 1971. Geology. In: Marion and Prince Edward Islands (Eds. Van Zinderen Bakker, E.M., Winterbottom, J.M. & Dyer, RA). AA Balkema, Cape Town. VERWOERD, W.J., RUSSEL, S. & BERRUTI, A 1981. Volcanic eruption reported on Marion Island. Earth Planet. Sci. Lelt. 54: 153-156. WALTER, H. & LIETH, H. 1967. Klimadiagramm - Weltatlas. Fisher, Jena. WATKINS, B.P. & COOPER, J. 1986. Introduction, present status and control of alien species at the Prince Edward Islands, sub-Antarctic. S. Afr. .LAntarct. Res. 16:86-94. WEBB, PJ., ELLISON, G.T.H., SKINNER, J.D. & VAN AARDE, R.J. 1997. Are feral house mice from the sub-Antarctic adapted to cold? Z. Saugetierkunde 62:63-64. WILLIAMS, E.A ,POWERS, H.J. & RUMSEY, RD.E. 1995. Morphological changes in the rat small intestine in response to riboflavin depletion. Brit. J Nutr. 73(1):141-146. 'WD_. BIBllOTE