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Unintended Consequences of Conservation Actions: Managing Disease in Complex Ecosystems

Overview of attention for article published in PLOS ONE, December 2011
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Title
Unintended Consequences of Conservation Actions: Managing Disease in Complex Ecosystems
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028671
Pubmed ID
Authors

Aliénor L. M. Chauvenet, Sarah M. Durant, Ray Hilborn, Nathalie Pettorelli

Abstract

Infectious diseases are increasingly recognised to be a major threat to biodiversity. Disease management tools such as control of animal movements and vaccination can be used to mitigate the impact and spread of diseases in targeted species. They can reduce the risk of epidemics and in turn the risks of population decline and extinction. However, all species are embedded in communities and interactions between species can be complex, hence increasing the chance of survival of one species can have repercussions on the whole community structure. In this study, we use an example from the Serengeti ecosystem in Tanzania to explore how a vaccination campaign against Canine Distemper Virus (CDV) targeted at conserving the African lion (Panthera leo), could affect the viability of a coexisting threatened species, the cheetah (Acinonyx jubatus). Assuming that CDV plays a role in lion regulation, our results suggest that a vaccination programme, if successful, risks destabilising the simple two-species system considered, as simulations show that vaccination interventions could almost double the probability of extinction of an isolated cheetah population over the next 60 years. This work uses a simple example to illustrate how predictive modelling can be a useful tool in examining the consequence of vaccination interventions on non-target species. It also highlights the importance of carefully considering linkages between human-intervention, species viability and community structure when planning species-based conservation actions.

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The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
United States 3 1%
Brazil 2 <1%
United Arab Emirates 1 <1%
France 1 <1%
Hong Kong 1 <1%
Turkey 1 <1%
Colombia 1 <1%
Sweden 1 <1%
Other 6 2%
Unknown 263 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 69 24%
Researcher 50 18%
Student > Ph. D. Student 45 16%
Student > Bachelor 32 11%
Student > Postgraduate 21 7%
Other 34 12%
Unknown 33 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 144 51%
Environmental Science 57 20%
Veterinary Science and Veterinary Medicine 10 4%
Medicine and Dentistry 8 3%
Social Sciences 8 3%
Other 22 8%
Unknown 35 12%