Testing epidemiological functional groups as predictors of avian haemosporidia patterns in southern Africa

Hellard, Eléonore, Cumming, Graeme S., Caron, Alexandre, Coe, Elizabeth, and Peters, Jeffrey L. (2016) Testing epidemiological functional groups as predictors of avian haemosporidia patterns in southern Africa. Ecosphere, 7 (4). e01225.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.

Download (910kB) | Preview
View at Publisher Website: http://dx.doi.org/10.1002/ecs2.1225
 
1
43


Abstract

Understanding the dynamics of multihost parasites and the roles of different host species in parasite epidemiology requires consideration of the whole animal community. Host communities may be composed of hundreds of interacting species, making it necessary to simplify the problem. One approach to summarizing the host community in a way that is relevant to the epidemiology of the parasite is to group host species into epidemiological functional groups (EpiFGs). We used EpiFGs to test our understanding of avian malaria (Plasmodium and Haemoproteus) dynamics in four communities of wetland-associated birds in southern Africa. Bird counts and captures were undertaken every 2–4 months over 2 yr and malaria was diagnosed by nested PCR. One hundred and seventy-six bird species were allocated to a set of EpiFGs according to their assumed roles in introducing and maintaining the parasite in the system. Roles were quantified as relative risks from avian foraging, roosting, and movement ecology and assumed interaction with vector species. We compared our estimated a priori risks to empirical data from 3414 captured birds from four sites and 3485 half-hour point counts. After accounting for relative avian abundance, our risk estimates significantly correlated with the observed prevalence of Haemoproteus but not Plasmodium. Although avian roosting height (for both malarial genera) and movement ecology (for Plasmodium) separately influenced prevalence, host behavior alone was not sufficient to predict Plasmodium patterns in our communities. Host taxonomy and relative abundance were also important for this parasite. Although using EpiFGs enabled us to predict the infection patterns of only one genus of heamosporidia, our approach holds promise for examining the influence of host community composition on the transmission of vector-borne parasites and identifying gaps in our understanding of host–parasite interactions.

Item ID: 41010
Item Type: Article (Research - C1)
ISSN: 2150-8925
Keywords: avian community; avian malaria; Haemoproteus; multihost parasites; Plasmodium; relative risk; southern Africa
Additional Information:

© 2016 Hellard et al. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Funders: USAID, Wildlife Conservation Society, National Research Foundation of South Africa (NRF), University of Cape Town, French Ministry of Foreign Affairs (FMFA)
Date Deposited: 15 May 2017 23:33
FoR Codes: 06 BIOLOGICAL SCIENCES > 0602 Ecology > 060204 Freshwater Ecology @ 33%
07 AGRICULTURAL AND VETERINARY SCIENCES > 0707 Veterinary Sciences > 070704 Veterinary Epidemiology @ 33%
07 AGRICULTURAL AND VETERINARY SCIENCES > 0707 Veterinary Sciences > 070708 Veterinary Parasitology @ 34%
SEO Codes: 96 ENVIRONMENT > 9604 Control of Pests, Diseases and Exotic Species > 960404 Control of Animal Pests, Diseases and Exotic Species in Forest and Woodlands Environments @ 50%
97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 50%
Downloads: Total: 43
Last 12 Months: 18
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page