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Proceedings of the First Symposium on Marsupials in New Zealand

Discussion

Discussion

Limitations of the data

Not all breeding-histories were fully documented because some females were caught infrequently (some perhaps not at all). Since the more frequently captured females contributed most to the analysis, it could be argued that the results do not represent the population as a whole. This is an inherent sampling difficulty using such a live-trapping approach; Dunnet (1964) points to other problems with live-trapping. However, the recapture rate was relatively high compared with some other species (Brown 1962); about half the breeding-histories were fully documented and a further quarter partially so. Nevertheless on the assumptions that more frequently caught possums may have been in poorer condition (see Bamford 1971) or that frequent captures (especially winter) might reduce condition, then breeding success (especially survival rates of young) may have been underestimated. Certainly mean weights of less frequently caught adults with young of unknown fate were closer to means of the successful than the unsuccessful breeders, which indicates such a bias.

page 115
Fig. 9. Linear regressions and correlations between annual mean weights of pouch-young, yearlings and adult females in area A (1966-75).

Fig. 9. Linear regressions and correlations between annual mean weights of pouch-young, yearlings and adult females in area A (1966-75).

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Both breeding and weight data are based, in many cases, on successive observations on the same individuals over a period of months or years. This has statistical implications in some situations e.g. when monthly samples are combined as in annual weight means. However this is unlikely to invalidate the major conclusions of the analysis. A further limitation was the inadequacy of aging most possums after the first two years of life (a problem that is easing as the study continues beyond 10 years). Age-class distributions within the 'adult' catagory could vary in different years, and so influence both breeding success and weight. While the number of precisely aged females was limited (Table 2), annual mean lengths of adults showed relatively little variation (Table 6), suggesting that year to year variation in size-classes, at least, was not great. Nevertheless recruitment of young animals into the population was much greater some years than others and this would subsequently affect the age distribution of 'adult' animals.

The use of the weight/length index introduced (for autopsied possums) by Bamford (1970) is thought to be appropriate in the absence of direct estimates of fat reserves, and given the close correlation between the index and total body fat in Bamford's study; the extent to which such a correlation holds in the Orongorongo study will only be determined by direct fat estimates on autopsied animals. The term 'condition' has been used advisedly or has often been avoided, partly for reasons given by Bamford (1970). While weight and the weight/length index are assumed to generally reflect total fat reserves, such reserves in turn reflect not only the nutritive plane and state of 'well-being' of the animal, but seasonal physiological changes, such as those associated with breeding. Low fat reserves do not necessarily indicate an animal is in poor condition; however, in the context of poor survival and breeding sucess, it seems more likely that relatively low weights and presumed fat reserves do indicate poorer condition. Variations in the amount of food in the gut, as well as in stored fat reserves could also influence individual body weights.

Finally, every effort was made to standardise the methods of measurement used by a variety of people contributing to this study, so observer bias was reduced to a minimum.

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Breeding pattern in Orongorongo Valley and elsewhere

The breeding performance of possums in the Orongorongo Valley over 1966-75 was generally poorer than most other populations studied to date in both Australia (e.g. Dunnet 1956, 1964; Smith et al. 1969; How 1972, 1974), and New Zealand (e.g. Gilmore 1966, Bamford 1972, Boersma 1974, Jolly 1976, Clout 1977, Warburton 1977).

This was manifest in (i) the seasonal distribution of births; (ii) the age of first breeding; (iii) the survival rate of pouch-young; and (iv) the resulting recruitment rate of young.

(i)

The seasonal distribution of births

The overall median date of birth for the Orongorongo possums (18 May) was relatively late compared with many populations studied elsewhere. Most medians for autumn births recorded in Australia fell in April or early May (Dunnet 1956, 1964; Smith et al. 1969; How 1972; Winter 1976), while in New Zealand medians in April or early May were recorded for Banks Peninsula (Gilmore 1966; Jolly 1976), Tokoroa (Clout 1977), Ashley (Warburton 1977) and the Taramakau (Bamford 1972) ; on Kapiti births were earlier in 1975 (Bell and Atkinson 1976) but generally not so in later years (R.E. Brockie, pers. comm.).

As noted by Kean (1971), Crawley (1973) and others, the autumn birth period of the possum is often supplemented by another in spring that involves fewer females. In Australia spring births occurred in most populations studied and reached 30% of births in Canberra (Bolliger 1942; Dunnet 1956, 1964; Lyne and Verhagen 1957; Smith et al. 1969; How 1972; Winter 1976). Spring births have also been widely reported in New Zealand and, as in Australia, appeared most prevalent in populations where autumn births were earlier e.g. Banks Peninsula (Tyndale-Biscoe 1955; Gilmore 1966, 1969; Jolly 1976), some of the Hokitika (Boersma 1974) and at Tokoroa (Clout 1977). Spring births were virtually absent in the Orongorongo Valley over 1966-75 (Fig. 2) only three occurring, two in 1971 when, significantly, autumn births were unusually early (median 19 April).

The same populations with early autumn breeding and a high proportion of spring births were also those in which some females evidently reared young in both autumn and spring. Kean (1971) concluded that such animals page 118 occur only when densities are low and food supplies are plentiful. However, he considered such conditions would not always result in double-breeding, but potential expansion of population was a common factor. Boersma (1974) indicated some possums in the Hokitika catchment with spring births had bred twice; spring births there only occurred in populations with high fat reserves and high asymptotic weights.

In the Orongorongo Valley, Kean (1971) expected sustained gin-trapping during 1953-61 would lead to the emergence of double-breeders in better locations, but this did not evidently occur, even when possums near the field station were given supplementary food - though an isolated female showed oestrous behaviour in November (Kean unpubl.). Kean (1971) concluded a high incidence of double-breeders required selection for appropriate genotypes, and could not be induced somatically. Nevertheless, the present study illustrates the possible importance of localised environmental factors in determining the reproductive capabilities and success of the Orongorongo female possums; such environmental constraints may well have still been operating to some degree when the population had formerly been reduced in Kean's experiment.

(ii)

Age of first breeding

Most Orongorongo females did not have young until at least 2 years old; the few records of yearlings breeding occurred only in 1969 (2) and 1971 (5). This contrasts with many other study areas where yearling females usually have young, as at Canberra (Dunnet 1956, 1964), in New South Wales (Smith et al. 1969, How 1972), on Banks Peninsula (Gilmore 1966; Jolly 1976), in parts of the Hokitika catchment (Boersma 1974) and in Ashley Forest (Warburton 1977).

(iii)

Survival rate of pouch-young

Despite their close association with the female, only about half of the pouch-young (52%) survived in the Orongorongo Valley over 1966-75. This ranks as a poor survival rate compared with some other reports. For instance in Canberra Dunnet (1964) found survival in the pouch was very high, while Kean (1971) concluded in an earlier study that most Orongorongo females had reared young. There was marked variation in pouch-young survival between years, areas and age-classes. In area A no yearling females reared pouch-young, while in area B neither yearling nor two-year-old females did so (Tables 1,2,4). Adult females raised page 119 only 30–50% of their pouch-young in area B, while in area A there was marked annual variation in pouch-young survival ranging from 30% (1975) to 90% (1971).

(iv)

Recruitment rate of young

The inter-correlation of annual measures of breeding performance in the Orongorongo Valley over 1966-75 is emphasised in this paper; similar relationships are evident when the breeding productivity is compared between different study areas. Broadly, areas with earlier autumn breeding, such as Canberra and Banks Peninsula (Tyndale-Biscoe 1955; Dunnet 1956, 1964; Gilmore 1966, 1969; Jolly 1976) are those with highest rates of spring births and double-breeding, with more yearling breeders and with high survival of pouch-young, so the resultant breeding productivity is much higher. Kean (1971) indicated such populations occur where food supplies are relatively good and densities are low; by contrast Orongorongo possums are at higher density (Crawley 1973), are depleting their food species (Mason 1958; Fitzgerald 1976, 1978; Meads 1976) and are subject to marked annual variation in productivity, which in general is low.

Assuming 20% of females are between one and two years old, the estimated annual production of independent young was 1.16 per female in Canberra (Dunnet 1956, 1964; Brockie et al. 1979). The overall production rate for Orongorongo females over 1966-75 (derived from data in Table 1) was only 0.37 young per female. This has interesting demographic implications when related to available data on mortality of the study population.

Brockie et al. (this symposium) estimate survivorship rates from a sample of 103 possums found dead in the study area over 1966-74. These data are combined with breeding data from Table 1 in Table 9; age classes follow Brockie et al. except all animals 3 years and over are combined as 'adults'. Using a Leslie projection matrix (Leslie 1945, Lefkovitch 1965, Williamson 1972) on the available data, the finite rate of natural increase (λ) is estimated as 1.01 (using either assumed sex-ratio and with either the unadjusted mortality series or with mortality series smoothed by fitting quadratic curves - see Snedecor & Cochran 1967). This estimate indicates the population is producing just enough young to counter mortality losses in older animals. However survival page 120
Table 9. Summary of annual recruitment and survival of possums, Orongorongo Valley 1966-75.
AGE CLASS1 (years) BREEDING RATE2 MALE SURVIVAL1 FEMALE SURVIVAL1 EXPECTED NO. MALE OFFSPRING3 EXPECTED NO. FEMALE OFFSPRING3(FERTILITY RATE)
0–1 0 0.893 (0.821) 0.851 (0.831) 0 (0) 0 (0)
1–2 0 0.900 (0.876) 0.875 (0.884) 0 (0) 0 (0)
2–3 0.303 0.911 (0.914) 1.000 (0.922) 0.155 (0.151) 0.148 (0.151)
Adults 0.449 0.805 (0.831) 0.833 (0.849) 0.230 (0.225) 0.219 (0.225)

page 121 rates may be overestimated; losses between the end of pouch-life (170 days) and the young becoming free-ranging (and at risk of 'entering' the life-tables) are not included in estimates of recruitment rates. Thus it appears that the population may barely be capable of maintaining its numbers without net immigration from outside, although in reaching such a conclusion some inadequacies of the data need to be borne in mind (see Brockie et al. this symposium, also earlier Discussion).
Growth, weight and breeding

The directions of annual fluctuations in breeding productivity in the Orongorongo Valley were reflected in various measures of possum growth and body weight. These were: (i) adult weight trends; (ii) pouch-young growth; and (iii) juvenile growth. Compared with areas of high productivity, such as Canberra and Banks Peninsula (Dunnet 1956, 1964; Gilmore 1966, 1969, Jolly 1976), growth rates and relative weights of Orongorongo animals were depressed, suggesting lower growth rates delay the onset of breeding and that females in poorer physical condition (as reflected by depressed body weight) breed less successfully.

(i)

Adult weight trends

Data on seasonal weight trends in adult females (Fig. 6) suggest more successful breeders increase their fat reserves during autumn and into winter, though a decline occurs in late winter or spring, probably related to the maximal demand of lactation (Gilmore 1966, Kean 1971, Crawley 1973). Kean (1971, unpubl.) in 1953-61 and Crawley (1973) in 1966-68 found fat reserves/mean weight increased in winter. Kean (unpubl.) described 72% of August females in 1953 as well conditioned (as opposed to lean) but by September the proportion dropped to 47% (when of 34 animals 5 had no fat, 13 a trace of fat, 6 were in good condition and 10 were very fat). It is evident seasonal weight trends varied between years; so although on average winter weights increased during 1966-68 (Crawley 1973) over ten years (1966-75), different years tended to cancel each other out and overall there was no significant seasonal effect.

Gilmore (1966) found on Banks Peninsula (where spring births occurred) female weights and fat reserves peaked in autumn and remained relatively high in June and July, and a similar pattern was evident there more recently (J.N. Jolly, pers. comm.). Bamford (1970) found females from page 122 the lower Styx Valley, Westland, had highest fat reserves in June compared with March, September and December, while in exotic pine forest near Tokoroa female fat reserves and weights again peaked in winter (M.C. Clout, pers. comm.). Thus, despite some minor regional variation, it appears females, where possible, lay down fat reserves in autumn and early winter, but that these reserves are utilised during late winter or early spring when pouch-young approach their periods of maximum growth (Kean 1975), and demands of lactation are higher (Gilmore 1966, Kean 1971, Crawley 1973). The present study suggests that some females are unable to metabolise fat reserves in this way and either do not have young (perhaps because they do not return to oestrous in autumn) or are unable to sustain a developing and suckling pouch-young through the winter.

(ii)

Pouch-young growth

Orongorongo pouch-young attain relatively low annual mean weights (229–439 g) by the end of pouch-life. Possums near Canberra (Dunnet 1956) were much heavier (ca. 900 g) at 170 days; Lyne and Verhagens' (1957) nomogram indicates a weight of almost 600 g for other Australian data; Gilmore (1966) recorded a mean of 860 g for Banks Peninsula possums at 5–6 months. Kean (1975) found captive possums in the Orongorongo area over 1953-61 weighed 240–580 g at the end of pouch-life (ca. 170 days). His calculated growth rate of wild pouch-young, based on a field collection of 811 individuals, evidently underestimated their mean weight at 170 days; the estimate (198 g) was lower than any comparable figure for 1966-75 and is hard to reconcile with a juvenile weight of 850–900 g in November-December 1953 (Kean 1975 - Fig. 5). These juvenile means were higher than those in this study which averaged (± S.E.) 464 ± 17 g in November and 648 ± 31 g in December.

(iii)

Juvenile growth

Growth of the juvenile over the months after leaving the pouch also varied markedly between years as evident from mean weights of yearlings which ranged from 0.83–1.55 kg in area A and 1.17–1.45 kg in area B (Table 8). While no yearling females bred in area B, some did in area A in the two years when mean weights were highest (1969, 1971). Higher growth rates and yearling weights were noted in other studies, for instance by Lyne and Verhagen (1957) and Dunnet (1964) in Australia and by Gilmore (1966) in New Zealand.

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Factors influencing annual variations

The annual variations in the weights and breeding performance of the possums suggest annual variations occur in their forest environment. These could involve intrinsic factors usually associated with animal behaviour patterns and population structure, and extrinsic factors such as weather, food-supply and disease. It could be simplistic and misleading to assume cause-and-effect relationships between the possums and any one of these possible checks to increase. The interplay between the individual possums and between the possums and their environment is still under investigation and some of these inter-actions are not yet fully understood. Thus any correlations evident up to 1975 should be regarded as only indicators, and as starting points in our interpretation of some of the inter-actions involved.

Four of the more likely factors influencing annual variations will now be examined.

(i)

Population density

Annual estimates of population density in area A over 1966-75 were compared with breeding and weight data to see if any density-dependent trends were evident. The population density was approximately estimated by determining the number of possums known to be alive in the trapped area each year; this ranged from 150 (1975) to 217 (1967). There were no significant correlations between the current (annual) population density and the annual weight and breeding performance (Fig. 10). Had increasing density depressed weights and breeding output, then negative correlations with adult birth rate, pouch-young survival rate and adult winter weight would be expected, while the date of birth would be positively correlated. There is evidence of such trends in some of the graphs if one ignores the less typical years of 1971 and 1975.

If the population density the following year is compared with certain breeding and weight data then significant correlations did occur (Fig. 11). Contributing to this delayed effect is the fact that most young were not trapped as free-ranging animals until the calendar year following birth. It is to be expected that a year of improved breeding success would contribute more young to the population. This, combined with better adult winter survival in such years, seems to be the basis for the observed correlations.

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Fig. 10. The current annual population level (minimum no. known alive) in relation to annual breeding and weight parameters, area A (1966-75). Arcsin transformations for percent adults with young and percent rearing pouch-young. Correlation coefficients (r) and significance levels (p) are given for all 10 years and (in brackets) for the 8 years excluding the 'extreme' years of 1971 and 1975.

Fig. 10. The current annual population level (minimum no. known alive) in relation to annual breeding and weight parameters, area A (1966-75). Arcsin transformations for percent adults with young and percent rearing pouch-young. Correlation coefficients (r) and significance levels (p) are given for all 10 years and (in brackets) for the 8 years excluding the 'extreme' years of 1971 and 1975.

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Fig. 11. Linear regressions and correlations between certain annual breeding and weight parameters and the number of possums known to be in the population the subsequent year, area A (1966-75). Arcsin transformation for percent adults with young.

Fig. 11. Linear regressions and correlations between certain annual breeding and weight parameters and the number of possums known to be in the population the subsequent year, area A (1966-75). Arcsin transformation for percent adults with young.

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The area B study was initiated with the aim of investigating the effects of an experimental reduction in population density on the surviving population. However, the contrasts between the two populations proved of sufficient interest to postpone the experiment; but it would still be interesting to monitor the animals' response to reduced density and observe its effect on productivity. Kean (1971) has already discussed some aspects of reducing density in the Orongorongo population.

(ii)

Food supply

Annual variation in the quantity and quality of possum foods could be important in determining their condition and breeding success. One component of their diet known to fluctuate from year to year comprises the fruits, berries and seeds of various forest plants (Fitzgerald 1976, 1978; Waddington et al. 1980; M.J. Daniel, pers. comm.). Such food supplements the predominantly leaf diet of the possum population. While data on the annual production of such food items were not available for earlier years of study, it is interesting that the year 1971, notable for the high breeding success in area A, was also a year of abundant fruit and seed production there. Despite limited data, correlations were evident between some indices of fruit and seed production and some weight and breeding parameters (Fig. 12).

It was fortunate that data on hinau fruit were available for analysis; while certainly an important food of possums, it is not the only fruit taken by them (Mason 1958, Fitzgerald 1976, 1978). Pigeonwood, for instance, was eaten by many possums early in 1971 when it fruited abundantly (Fitzgerald 1976; pers. obs.).

Among the range of plants eaten by possums there is marked variation in reproductive cycles and probably in the factors influencing fruit production. Also such fruits are not the only variable components in the diet - possums take leaves and flowers of a variety of species, as well as invertebrate foods at times (Fitzgerald 1976, 1978; pers. obs.). This variation in the quality and quantity of food available for the possums therefore seems to have been important in influencing annual fluctuations in weight and breeding performance, especially in years like 1971 when area A possums bred most successfully.

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Comparison between study areas

There were differences in the composition and condition of vegetative cover in the two study areas; for example virtually all northern rata trees, a known food species, were dead in area B by 1971, unlike area A (Meads, 1976; pers. comm.). More detailed comparative vegetation surveys were not completed until after 1974, when live-trapping in area B was halted (A.E. Fitzgerald, pers. comm.). However, it was apparent that a number of food species apart from northern rata (e.g. kamahi) were absent or reduced in numbers in area B, possums having heavily browsed them (see earlier description of study areas). Supplementary foods such as buds, flowers, fruit and seeds occurred commonly in the diet of possums in area A (Fitzgerald 1976); a comparison of fruit, flowers and seeds in the litterfall suggests area A produces a much greater annual crop of such foods compared with area B (Waddington et al. 1980). Not only is area A vegetation more diverse but there are marked differences in those species whose fruit is taken by possums (A.E. Fitzgerald, pers. comm.). The 4 species probably contributing most of the fruit eaten in area A - hinau, pigeonwood, pate and supplejack -bear ripe fruit over autumn and winter. Only pigeonwood and supplejack are common in area B, most of the other species of fruits eaten there being available earlier in the year (up to April) e.g. kaikomaka, kawakawa, karaka Corynocarpus laevigatus and mahoe (Waddington et al. 1980).

Thus differences in the seasonal weight trends and breeding productivity between areas A and B could well reflect differential food supplies, differing not only in the leaf component of the diet but in the timing and availability of supplementary foods.

(iii)

Weather

Since continuous weather records were not available from the study areas over 1966-75 N.Z. Meteorological Service data from Kelburn, Wellington and the Orongorongo Weir are used to summarise annual and seasonal fluctuations in rainfall and temperature over the study period (Tables 10 and 11). Kelburn recorded about half the amount of annual rainfall as the study areas, while at the Orongorongo Weir it was about 400 mm (14%) more. Over 1969-71 mean winter and summer temperatures at Kelburn were milder than area A by 2.6°C and 1.2°C respectively.

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Fig. 12. Linear regressions and correlations between the annual crop of hinau fruit and various annual breeding and weight parameters in area A.

Fig. 12. Linear regressions and correlations between the annual crop of hinau fruit and various annual breeding and weight parameters in area A.

While hinau is but one of the fruits eaten by possums, there is a correlation between the annual hinau crop (no. fruits/m2) and the annual crop of all fruits and seeds collected in the area (measured as kg/ha, dry weight - see Daniel 1975 for methods). Although data are limited, this suggests hinau cropped heavily in concert with some other species in years like 1971 (see Figure, lower right based on 1971-75 data).

For percent adults with young arcsin transformation.

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Table 10. Annual rainfall and temperature data from Kelburn, Wellington (1966-75) and the Orongorongo Weir (1966-74).
Total rainfall per annum Total raindays per annum Mean daily temperature per annum
Kelburn Orongorongo Kelburn Orongorongo Kelburn
Total (mm) % deviation from mean* Total (mm) % deviation from mean* No. days % deviation from mean* No. days % deviation from mean* Mean (°CC) % deviation from mean*
1966 1447 +15% 3738 +29% 169 +7% 212 +5% 12.2 -4%
1967 1251 - 1% 2665 - 8% 151 -4% 209 +4% 12.4 -3%
1968 1364 + 8% c.3061 + 6% 168 +6% c.212 +5% 12.5 -2%
1969 933 -26% 2059 -29% 137 -13% 178 -11% 12.5 -2%
1970 1246 - 1% 2949 + 2% 153 -3% 183 -9% 13.2 +4%
1971 1231 - 2% 2534 -12% 151 -4% c.191 -5% 13.5 +6%
1972 1029 -18% 2416 -16% 164 +4% 214 +6% 12.4 -3%
1973 1039 -18% 2425 -16% 151 -4% 203 +1% 13.0 +2%
1974 1706 +35% 4206 +45% 166 +5% c.210 +4% 12.8 +1%
1975 1372 + 9% - - 165 +4% - - 13.0 +2%
Mean for period 1262 (1966-75) 2895 (1966-74) 158 (1966-75) 201 (1966-74) 12.8 (1966-75)

* Annual deviations from the mean value for the whole period of observations are expressed as percentages of that mean value (given at bottom of table).

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Table 11. Seasonal rainfall and temperature data from Kelburn, Wellington (1966-75), expressed as percentage deviations from overall seasonal means for the 10 year period*
TOTAL RAINFALL (mm) TOTAL RAINDAYS (no. days) MEAN DAILY TEMPERATURE (°C)
SUM AUT WIN SPR SUM AUT WIN SPR SUM AUT WIN SPR
Mean for 1966-75 220 334 412 297 28 38 51 41 16.4 13.7 8.8 12.1
1966 + 37 +31 -8 -25 +21 -3 +2 -7 -1 -2 -6 -6
1967 +61 -18 0 -2 +32 -13 -12 +2 -6 -3 -1 -2
1968 +6 +15 -4 +19 +7 +21 -2 +10 -1 +4 0 -7
1969 +16 -7 -43 -40 +11 -13 -18 -20 -6 -5 -8 +3
1970 -23 -3 +16 +7 -4 -3 0 -5 +5 -1 +10 +4
1971 -15 -32 +7 +17 -25 -8 -6 +15 +6 +6 +15 +1
1972 -20 -10 -13 -29 +4 -13 +14 -2 -3 +2 -10 +6
1973 -55 -27 -19 -2 -18 +16 +2 -2 -4 0 +2 +3
1974 +10 +72 +17 +60 -25 +11 +10 +7 +2 -7 +2 +2
1975 -19 -20 +47 -6 -4 -3 +10 +2 +10 +8 -1 -6

Annual mean daily temperatures at Kelburn (Table 10) were highest in 1971 (13.5°C) and 1969 (13.2°C) and lowest in 1966 (12.2°C), 1967 and 1972 (12.4°C).

The summer and autumns of 1975 and 1971 were especially mild, while those of 1969, 1967, and 1966 tended to be coolest (Table 11). The winters of 1971 and 1970 were relatively mild, while those of 1972 and 1969 were cooler. Spring temperatures were highest in 1972 and lowest in 1968, 1966 and 1975 (Table 11).

Rainfall data show the years 1974, 1966 and 1968 to be the wettest, while 1969 was especially dry (Table 10). Seasonally the summers of 1967 and 1966 were wettest; the 1973 summer had the lowest rainfall, while the summers of 1971 and 1974 had the longest dry periods (fewer raindays). Heaviest autumn rainfalls occurred in 1974 and 1966, the most sustained rain occurring in 1968. Conversely, lightest falls occurred in the autumns of 1971 and 1973, with least sustained rain in 1967, 1969 and 1972. In winter most rainfall occurred in 1975 but was most sustained

* see Table 1 for calculation of percentage deviations

page 131 in 1972. The driest winter was 1969. Spring was wettest in 1968, 1971 and 1974 and driest in 1969 and 1966 (Table 11).

An analysis of Kelburn weather records and possum weights showed adult female summer and autumn weights were correlated with prevailing weather; the animals weighed more in drier, warmer seasons. Also the mean daily summer temperature was correlated with mean weights one year later - possibly a spurious result, although an indirect, delayed effect through, say, the growth of possum food plants could be indicated. Lack of some local meteorological data made study of immediate weather and possum weight and breeding data difficult; very poor, wet weather reduced the numbers of possums caught, and a sustained period of bad weather could curtail feeding and reproductive activity and so contribute to reduced breeding; such may have been the case in the 1968 autumn and winter (refer Fig. 7); further, many of the possums found dead or comatose were trapped in cold and wet weather. Thus despite limitations in data, it appears that for 1966-75 weather fluctuations probably directly or indirectly influenced the possums and their food supply, and so may ultimately have influenced possum weight and breeding success.

(iv)

Pathological factors

Autopsies were limited to those animals found dead or dying and little information was obtained on diseases and parasites.

At a time of heavy adult mortality in winter 1972 the cestode tapeworm Bertiella trichosuri Khalil was found in 5 dead possums examined; a further 2 cases occurred in winter 1973 (A.J. White, pers. comm.). Clark (1977) reports lower weights and low birth rates in females infected with this parasite in Taranaki. Some Orongorongo possums had heavily abraded fur due to irritation from the ectoparasite mites, Atellana papilio and Trichosuro laelaps crassipes; animals in poor condition were most heavily infected, and were severely scratched on the rump. Whether poor-conditioned animals were more prone to infection or whether the parasites contributed largely to their poor condition is not known.

Bovine tuberculosis Mycobacterium bovis, reported from New Zealand possums (Ekdahl et al. 1970; see also Julian, this symposium), was not observed in the study area during a 1976 survey (A.J. White, pers. comm.); advanced stages of infection characterised by external lesions at the lymph nodes would be evident in regularly trapped animals.

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High infection rates of leptospirosis have been found in New Zealand possums (de Lisle et al. 1975; Hathaway, this symposium). A 1975 survey of urine samples from the Orongorongo study population revealed an infection rate of 10 percent (R.E. Brockie, pers. comm.), but any relationship between leptospore infection and breeding performance has yet to be established.

The study in perspective

The success of the common brushtail possum, both as an introduced species in New Zealand (Pracy 1962, 1974) and as a coloniser of disturbed habitats in Australia, reflects its demographic adaptability (Bell et al. 1979). Populations in the Orongorongo Valley at moderate densities contrast with those studied near Canberra and on Banks Peninsula where growth rates and breeding productivity are much higher (Tyndale-Biscoe 1955; Dunnet 1956, 1964; Gilmore 1966, 1969; Jolly 1976). The history of the Orongorongo populations has been a changing one both over the long and short-term.

Over the long-term there is evidence of marked depletion of selected food resources since possums were introduced last century (Mason 1958; Kean 1971, 1975, unpubl.) and such trends continue (Fitzgerald 1976, 1978; Meads 1976). Comparison with Kean (1971, 1975, unpubl.) suggests mean weights and breeding productivity have also declined since the 1950s.

Over the short-term (1966-75) the possum population exhibited marked annual changes. This may simply be a reflection of a variable environment, although it could (but not necessarily does) imply more than this - the study animals may now be near to the limits of their resources - near to their 'bread-line' - so that they are more sensitive to, and respond conspicuously to seasonal and annual fluctuations in their physical and social environment. Such marked fluctuations have not been recorded elsewhere, although it should be noted that no other studies on Trichosurus vulpecula have continued as long as the present one (e.g. see birth dates in Brockie et al. 1979).

Climate is important in directly influencing possum activity and health and through indirect effects on their food resources. Annual and seasonal fluctuations in food-supply, especially supplementary foods such as fruits and berries, seem to be important in determining variations in female weight and productivity. There is also evidence of density-dependent relationships in at least less 'extreme* years which require closer investigation. In the page 133 'extreme' years factors such as food-supply and weather may have such a marked effect on productivity that they modify relationships between population density and productivity.

The regressions presented in this paper suggest a variety of predictions involving weight, breeding performance, population level and food supply. A start can now be made in developing a dynamic model of the climate-vegetation-possum complex of interactions in the Orongorongo study area, although with continuing study predictive equations will require updating and modification. The relationship of some of the components discussed in this paper is illustrated diagrammatically in Figure 13.

Bamford (1971) has already discussed the importance of assessing the fat levels of a possum population before implementing control operations, and he illustrated how, in one area, the success of such control could be predicted using a weight/length index (Bamford 1970). The present study demonstrates that, within some areas, the average annual body weight can vary markedly from year to year, and so the inferred fat-reserves. This too could have possible application to planning control in situations like the study area - a higher kill would be expected (from Bamford's data) in years when weights were lower.

Over 1966-75 there was little clear evidence of a marked rise or fall in possum numbers (if anything, they declined); rather, their numbers fluctuated as a consequence of annual variations in recruitment rate, mortality and dispersal, causing dynamic changes in their age-structure over the years. In the lowland podocarp-broadleaf forest of the Orongorongo Valley the possum is therefore maintaining moderately high densities, at least in the short-term (and notwithstanding the rigorous natural checks to breeding productivity and to population increase described here).

In general the possum is still in a phase of adjustment to its relatively new environment in New Zealand and without human intervention the carrying capacity of the Orongorongo forest will probably decline further as more food resources are depleted through selective browsing by possums and other herbivores. My analysis of the first ten years of population study has drawn attention to the dynamic nature of the possum-vegetation-climate interactions, emphasising some demographic consequences of temporal changes in the possums' physical and perhaps social environment. In a population with a life-expectancy on leaving the pouch of about 6 years (Brockie et al. this page 134
Fig. 13. A hypothetical model of the possum-vegetation-climate complex of interactions in the Orongorongo forest, with emphasis on aspects relating to female breeding productivity. 'Post-pouch mortality' refers to all deaths after the pouch-young phase of development, and to both sexes including females as indicated.

Fig. 13. A hypothetical model of the possum-vegetation-climate complex of interactions in the Orongorongo forest, with emphasis on aspects relating to female breeding productivity. 'Post-pouch mortality' refers to all deaths after the pouch-young phase of development, and to both sexes including females as indicated.

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symposium), studies need to continue well into the future if the nature and rate of the longer-term population changes are to be adequately documented and more clearly understood.

1 Derived from Brockie, Bell & White (this symposium), tables 1 and 5; alternative survival values in parentheses are those from smoothed curves (Snedecor and Cochran 1967).

2 Derived from Table 1, combining all females from both areas.

3 Based on sex-ratio of 43 ♂♂: 41♀♀ for young at end of pouch-phase (Bell, unpubl.); alternative values assuming 1:1 sex-ratio are given in parentheses.