Disentangling effects of anthropogenic disturbance and community structure on multi-pathogen dynamics in tropical cave-dwelling bat communities

Author:

Vicente-Santos Amanda1ORCID,Ledezma-Campos Paula2,Rodríguez-Herrera Bernal2,Corrales-Aguilar Eugenia3,Czirják Gábor Á.4ORCID,Civitello David J.5ORCID,Gillespie Thomas R.6ORCID

Affiliation:

1. Program of Population Biology, Ecology, and Evolution, Emory University, Atlanta, GA, 30322, USA

2. Biodiversity and Tropical Ecology Research Center (CIBET), School of Biology, University of Costa Rica, 11501-2060 San José, Costa Rica

3. CIET-Virology, Microbiology, University of Costa Rica, 11501-2060 San José, Costa Rica

4. Department of Wildlife Diseases, Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Str. 17, 10315 Berlin, Germany

5. Program of Population Biology, Ecology, and Evolution, Emory University, Atlanta, GA, 30322, USA; Biology Department, Emory University, Atlanta, GA, 30322, USA

6. Program of Population Biology, Ecology, and Evolution, Emory University, Atlanta, GA, 30322, USA; Department of Environmental Sciences, Emory University, Atlanta, GA, 30322, USA

Abstract

Abstract A major challenge in ecology and evolution is to disentangle the known effects of community structure and habitat degradation on disease prevalence, as they often act simultaneously in natural systems. However, cave-dwelling bats persist in degraded habitats, providing a unique opportunity to examine these dual effects. We evaluated how disturbance and cave complexity influenced bat community composition and the prevalence of multiple pathogens at the community level. During wet and dry season surveys of 15 caves in Costa Rica along a gradient of anthropogenic disturbance, we collected samples from 1,238 adult individuals, representing 17 species from four families. We determined the infection prevalence of four common and divergent pathogens: Bartonella (19.7%), Leptospira (22.7%), Trypanosoma (32.0%), and microfilaria (6.6%). Cave complexity, but not disturbance, predicted bat community composition—however, degraded habitats sustained smaller bat populations. Pathogens responded differently to habitat quality, cave complexity, season, species richness, and bat density. For bat richness, we found a negative association with Bartonella prevalence, but a positive association with Trypanosoma and microfilaria and no association with Leptospira. Our work provides insight into the complex patterns of pathogen dynamics and bat community ecology in changing environments by developing a distinctive framework using a multi-host, multi-pathogen system.

Publisher

Research Square Platform LLC

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