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Medium-term temporal stability of the helminth component community structure in bank voles (Clethrionomys glareolus) from the Mazury Lake District region of Poland

Published online by Cambridge University Press:  19 October 2004

A. BAJER
Affiliation:
Department of Parasitology, Institute of Zoology, University of Warszawa, ul. Miecznikowa 1, 02-096 Warszawa, Poland
J. M. BEHNKE
Affiliation:
School of Biology, University of Nottingham, University Park, Nottingham NG7 2RD, UK
A. PAWEŁCZYK
Affiliation:
Department of Parasitology, Institute of Zoology, University of Warszawa, ul. Miecznikowa 1, 02-096 Warszawa, Poland
K. KULIŚ
Affiliation:
Department of Parasitology, Institute of Zoology, University of Warszawa, ul. Miecznikowa 1, 02-096 Warszawa, Poland
M. J. SEREDA
Affiliation:
Department of Parasitology, Institute of Zoology, University of Warszawa, ul. Miecznikowa 1, 02-096 Warszawa, Poland Current address: Department of Molecular Parasitology, Institute for Biology, Humboldt University Berlin, Philippstrasse. 13, 10115 Berlin, Germany.
E. SIŃSKI
Affiliation:
Department of Parasitology, Institute of Zoology, University of Warszawa, ul. Miecznikowa 1, 02-096 Warszawa, Poland
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Abstract

The structure of helminth communities in wild rodents is subject to seasonal variation, and is dependent on host age within years. Although between-year variation has been monitored, seldom has it been assessed rigorously by appropriate multifactorial analysis with potentially confounding factors taken into account. In this study we tested the null hypothesis that despite seasonal, host age and sex effects, helminth communities should show relative stability between years. Over a period of 3 years (1998–2000) we sampled bank vole (Clethrionomys glareolus) populations (total n=250) at 2 points in the year: in spring, at the start of the breeding season, and in autumn, after the cessation of breeding. In spite of seasonal differences and strong age effects, the between-year effects were surprisingly small. Measures of component community structure (Berger-Parker dominance index, the dominant species, S. petrusewiczi) did not vary, or varied only slightly from year to year. The majority of measures of infracommunity structure [Brillouin's index of diversity, prevalence of all helminths combined, prevalence and abundance of H. mixtum (the most prevalent helminth), mean species richness] did not differ significantly between years when other factors such as age, sex and seasonal variation had been taken into account. Some between-year variations were found (at the component community level, Simpson's index of diversity; at the infracommunity level, prevalence and abundance of S. petrusewiczi and abundance of all helminths combined), but even these were modest in comparison to seasonal and age differences, and were primarily attributable to S. petrusewiczi. We conclude that despite dynamic within-year fluctuations, helminth communities in bank voles in this region of Poland show relative stability across years. The sporadic occurrence of individual platyhelminths at low prevalence, makes little difference to the overall structure, which is largely maintained by the key roles played by the dominant intestinal nematodes of bank voles and the rarer species collectively.

Information

Type
Research Article
Copyright
© 2005 Cambridge University Press
Figure 0

Table 1. The structure of the sampled bank vole population by season and year of study, and age and sex of host

Figure 1

Table 2. Changes in the relative population density of Clethrionomys glareolus in the study site during 1998–2000

Figure 2

Table 3. The prevalence (% infected ±95% confidence limits) of helminth taxa by year of study

Figure 3

Table 4. Measures of component community structure by year

Figure 4

Fig. 1. The effect of host age and sex on mean species richness (A) and between year (B) and seasonal (C) variation in total helminth worm burdens.

Figure 5

Fig. 2. The effect of age (A) and season (B) on Brillouin's Diversity Index.

Figure 6

Fig. 3. Frequency distribution of infracommunity species richness in 1998 (A), 1999 (B), 2000 (C) and combined (D). In Fig. 4D the observed data are in the filled-in columns and those predicted by the null model of Janovy et al. (1995) in the open columns.

Figure 7

Fig. 4. Factors affecting the prevalence of Heligmosomum mixtum and Catenotaenia henttoneni. Error bars are 95% confidence limits. (A) Effect of age and season on H. mixtum. The only term incorporating infection in the minimum sufficient model was the age×season×infection interaction (χ2=8·01, D.F.=2, P=0·0182). (B) Effect of age and sex on C. henttoneni. For the interaction between sex×age×infection (χ2=6·5, D.F.=2, P=0·039).

Figure 8

Fig. 5. Between year and seasonal variation in the prevalence of Syphacia petrusewiczi and Catenotaenia henttoneni. Error bars are 95% confidence limits. Effect of year (A, χ2=21·6, D.F.=2, P<0·0001) and season (B, χ2=8·7, D.F.=1, P=0·003) on the prevalence of S. petrusewiczi. Effect of year (C, χ2=7·8, D.F.=2, P=0·020) and season (D, χ2=13·0, D.F.=1, P=0·0003) on the prevalence of C. henttoneni.

Figure 9

Table 5. Measures of aggregation for individual species of helminths by year

Figure 10

Table 6. The abundance of helminth taxa by year of study

Figure 11

Fig. 6. Factors affecting the abundance of Heligmosomum mixtum. (A) Effect of year and season (4-way ANOVA in GLIM with negative binomial errors, 2-way interaction between year and season χ2=7·4, D.F.=2, 0·025>P>0·01; main effect of season χ2=6·17, D.F.=1, 0·025>P>0·01; main effect of year was not significant χ2=2·19, D.F.=2). (B) Effect of year and age (2-way interaction between year and age χ2=18·6, D.F.=6, 0·005>P>0·001; main effect of age χ2=27·39, D.F.=2, P<0·0005). (C) Effect of season and age (2-way interaction between season and age χ2=3·61, D.F.=1, 0·075>P>0·05).

Figure 12

Fig. 7. Factors affecting the abundance of Syphacia petrusewiczi. (A) Effect of year (4-way ANOVA in GLIM with normal errors and Log10 (x+1) transformed data, main effect of year F 2,248=11·25, P<0·001). (B) Effect of season (main effect of season F1,247=8·25, 0·005>P>0·001). (C) Effect of sex and age (2-way interaction between sex and age F2,233=2·78, 0·1>P>0·05).