The roosting spatial network of a bird-predator bat

The use of roosting sites by animal societies is important in conservation biology, animal behavior, and epidemiology. The giant noctule bat (Nyctalus lasiopterus) constitutes fission–fusion societies whose members spread every day in multiple trees for shelter. To assess how the pattern of roosting...

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Detalles Bibliográficos
Autores: Fortuna, Miguel A., Popa-Lisseanu, Ana G., Ibáñez, Carlos, Bascompte, Jordi
Tipo de recurso: artículo
Fecha de publicación:2009
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/40055
Acceso en línea:http://hdl.handle.net/10261/40055
Access Level:acceso abierto
Palabra clave:Complex networks
epidemiology
giant noctule bat
information flow
Modularity
Nyctalus lasiopterus
Parasites
spatial patterns
wildlife management
Descripción
Sumario:The use of roosting sites by animal societies is important in conservation biology, animal behavior, and epidemiology. The giant noctule bat (Nyctalus lasiopterus) constitutes fission–fusion societies whose members spread every day in multiple trees for shelter. To assess how the pattern of roosting use determines the potential for information exchange or disease spreading, we applied the framework of complex networks. We found a social and spatial segregation of the population in well-defined modules or compartments, formed by groups of bats sharing the same trees. Inside each module, we revealed an asymmetric use of trees by bats representative of a nested pattern. By applying a simple epidemiological model, we show that there is a strong correlation between network structure and the rate and shape of infection dynamics. This modular structure slows down the spread of diseases and the exchange of information through the entire network. The implication for management is complex, affecting differently the cohesion inside and among colonies and the transmission of parasites and diseases. Network analysis can hence be applied to quantifying the conservation status of individual trees used by species depending on hollows for shelter