Valenzuela-Sánchez, A;
Schmidt, BR;
Uribe-Rivera, DE;
Costas, F;
Cunningham, AA;
Soto-Azat, C;
(2017)
Cryptic disease-induced mortality may cause host extinction in an apparently stable host- parasite system.
Proceedings of the Royal Society B: Biological Sciences
, 284
(1863)
, Article 20171176. 10.1098/rspb.2017.1176.
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Abstract
The decline of wildlife populations due to emerging infectious disease often shows a common pattern: the parasite invades a naive host population, producing epidemic disease and a population decline, sometimes with extirpation. Some susceptible host populations can survive the epidemic phase and persist with endemic parasitic infection. Understanding host–parasite dynamics leading to persistence of the system is imperative to adequately inform conservation practice. Here we combine field data, statistical and mathematical modelling to explore the dynamics of the apparently stable Rhinoderma darwinii–Batrachochytrium dendrobatidis (Bd) system. Our results indicate that Bd-induced population extirpation may occur even in the absence of epidemics and where parasite prevalence is relatively low. These empirical findings are consistent with previous theoretical predictions showing that highly pathogenic parasites are able to regulate host populations even at extremely low prevalence, highlighting that disease threats should be investigated as a cause of population declines even in the absence of an overt increase in mortality.
Type: | Article |
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Title: | Cryptic disease-induced mortality may cause host extinction in an apparently stable host- parasite system |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1098/rspb.2017.1176 |
Publisher version: | http://dx.doi.org/10.1098/rspb.2017.1176 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | chytridiomycosis, Cormack –Jolly – Seber models, Darwin’s frogs, epidemic and endemic emerging infectious disease, matrix population models, multi-state capture–recapture models |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment |
URI: | https://discovery.ucl.ac.uk/id/eprint/10027676 |
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