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Variation in faecal water content may confound estimates of gastro-intestinal parasite intensity in wild African herbivores

Published online by Cambridge University Press:  23 July 2009

W.C. Turner*
Affiliation:
Department of Environmental Science, Policy and Management, University of California, Berkeley, 137 Mulford Hall, Berkeley, CA94720-3112, USA
C.A. Cizauskas
Affiliation:
Department of Environmental Science, Policy and Management, University of California, Berkeley, 137 Mulford Hall, Berkeley, CA94720-3112, USA
W.M. Getz
Affiliation:
Department of Environmental Science, Policy and Management, University of California, Berkeley, 137 Mulford Hall, Berkeley, CA94720-3112, USA Department of Zoology and Entomology, Mammal Research Institute, University of Pretoria, Pretoria0002, South Africa
*
*Fax: (+1) 510-666-2352 E-mail: wturner@nature.berkeley.edu

Abstract

Estimates of parasite intensity within host populations are essential for many studies of host–parasite relationships. Here we evaluated the seasonal, age- and sex-related variability in faecal water content for two wild ungulate species, springbok (Antidorcas marsupialis) and plains zebra (Equus quagga). We then assessed whether or not faecal water content biased conclusions regarding differences in strongyle infection rates by season, age or sex. There was evidence of significant variation in faecal water content by season and age for both species, and by sex in springbok. Analyses of faecal egg counts demonstrated that sex was a near-significant factor in explaining variation in strongyle parasite infection rates in zebra (P = 0.055) and springbok (P = 0.052) using wet-weight faecal samples. However, once these intensity estimates were re-scaled by the percent of dry matter in the faeces, sex was no longer a significant factor (zebra, P = 0.268; springbok, P = 0.234). These results demonstrate that variation in faecal water content may confound analyses and could produce spurious conclusions, as was the case with host sex as a factor in the analysis. We thus recommend that researchers assess whether water variation could be a confounding factor when designing and performing research using faecal indices of parasite intensity.

Type
Research Papers
Copyright
Copyright © Cambridge University Press 2009

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References

Anderson, R.M. & May, R.M. (1978) Regulation and stability of host–parasite population interactions. I. Regulatory processes. Journal of Animal Ecology 47, 219247.CrossRefGoogle Scholar
Auer, C. (1997) Chemical quality of water at waterholes in the Etosha National Park. Madoqua 20, 121128.Google Scholar
Bowman, D.D. (2003) Georgis' parasitology for veterinarians. 8th edn.Philadelphia, W.B. Saunders.Google Scholar
Engert, S. (1997) Spatial variability and temporal periodicity of rainfall in the Etosha National Park and surrounding areas in northern Namibia. Madoqua 20, 115120.Google Scholar
Ezenwa, V.O. (2003) The effects of time of day on the prevalence of coccidian oocysts in antelope faecal samples. African Journal of Ecology 41, 192193.CrossRefGoogle Scholar
FAO (2005) The Royal Veterinary College/Food and Agricultural Organisation of the United Nations: Guide to Veterinary Diagnostic Parasitology. Available athttp://www.fao.org/ag/againfo/resources/documents/Parasitology/Index/Index.htm (accessed June 2005).Google Scholar
Gasaway, W.C., Gasaway, K.T. & Berry, H.H. (1996) Persistent low densities of plains ungulates in Etosha National Park, Namibia: testing the food-regulating hypothesis. Canadian Journal of Zoology 74, 15561572.CrossRefGoogle Scholar
Gordon, H.M. (1967) The diagnosis of helminthosis in sheep. Veterinary Medical Review 67, 140168.Google Scholar
Hipondoka, M.H.T., Busche, D., Kempf, J. & Jousse, H. (2006) Fossil evidence for perennial lake conditions during the Holocene at Etosha Pan, Namibia. South African Journal of Science 101, 13.Google Scholar
Huntley, B.J. (1982) Southern African savannas. pp. 101119in Huntley, B.J. & Walker, B.H. (Eds) Ecology of tropical savannas. Berlin, Springer-Verlag.CrossRefGoogle Scholar
Ives, A.R. & Murray, D.L. (1997) Can sublethal parasitism destabilize predator–prey population dynamics? A model of snowshoe hares, predators and parasites. Journal of Animal Ecology 66, 265278.CrossRefGoogle Scholar
Le Jambre, L.F., Dominik, S., Eady, S.J., Henshall, J.M. & Colditz, I.G. (2007) Adjusting worm egg counts for faecal moisture in sheep. Veterinary Parasitology 145, 108115.CrossRefGoogle ScholarPubMed
Le Roux, C.J.G., Grunow, J.O., Morris, J.W., Bredenkamp, G.J. & Scheepers, J.C. (1988) A classification of the vegetation of the Etosha National Park. South African Journal of Botany 54, 110.CrossRefGoogle Scholar
Levine, N.D. & Clark, D.T. (1956) Correction factors for faecal consistency in making nematode egg counts of sheep faeces. Journal of Parasitology 42, 658659.CrossRefGoogle Scholar
Lozano, G.A. (1991) Optimal foraging theory – a possible role for parasites. Oikos 60, 391395.CrossRefGoogle Scholar
Nagy, K.A. & Knight, M.H. (1994) Energy, water, and food use by springbok antelope (Antidorcas marsupialis) in the Kalahari desert. Journal of Mammalogy 75, 860872.CrossRefGoogle Scholar
R Core Development Team (2008) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available athttp://www.R-project.org (accessed 3 July 2009).Google Scholar
Skinner, J.D. & Chimimba, C.T. (2005) The mammals of the Southern African subregion. 3rd edn.Cambridge, Cambridge University Press.CrossRefGoogle Scholar
Skinner, J.D. & Louw, G.N. (1996) The springbok Antidorcas marsupialis (Zimmerman, 1780). Transvaal Museum Monograph 10, 150.Google Scholar
Villanúa, D., Pérez-Rodríguez, L., Gortázar, C., Höfle, U. & Viñuela, J. (2006) Avoiding bias in parasite excretion estimates: the effect of sampling time and type of faeces. Parasitology 133, 251259.CrossRefGoogle ScholarPubMed
Wilson, K., Grenfell, B.T. & Shaw, D.J. (1996) Analysis of aggregated parasite distributions: a comparison of methods. Functional Ecology 10, 592601.CrossRefGoogle Scholar
Wilson, K., Bjørnstad, O.N., Dobson, A.P., Merler, S., Poglayen, G., Randolph, S.E., Read, A.F. & Skorping, A. (2001) Heterogeneities in macroparasite infections: patterns and processes. pp. 644in Hudson, P.J., Rizzoli, A., Grenfell, B.T., Heesterbeek, H. & Dobson, A.P. (Eds) The ecology of wildlife diseases. Oxford, Oxford University Press.Google Scholar