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dc.contributor.authorMurray, Kris A
dc.contributor.authorRetallick, Richard WR
dc.contributor.authorPuschendorf, Robert
dc.contributor.authorSkerratt, Lee F
dc.contributor.authorRosauer, Dan
dc.contributor.authorMcCallum, Hamish I
dc.contributor.authorBerger, Lee
dc.contributor.authorSpeare, Rick
dc.contributor.authorVanDerWal, Jeremy
dc.date.accessioned2017-05-03T15:37:39Z
dc.date.available2017-05-03T15:37:39Z
dc.date.issued2011
dc.date.modified2012-04-09T23:02:44Z
dc.identifier.issn0021-8901
dc.identifier.doi10.1111/j.1365-2664.2010.01890.x
dc.identifier.urihttp://hdl.handle.net/10072/44297
dc.description.abstract1. Emerging infectious diseases can have serious consequences for wildlife populations, ecosystem structure and biodiversity. Predicting the spatial patterns and potential impacts of diseases in free-ranging wildlife are therefore important for planning, prioritizing and implementing research and management actions. 2. We developed spatial models of environmental suitability (ES) for infection with the pathogen Batrachochytrium dendrobatidis, which causes the most significant disease affecting vertebrate biodiversity on record, amphibian chytridiomycosis. We applied relatively newly developed methods for modelling ES (Maxent) to the first comprehensive, continent-wide data base (comprising >10000 observations) on the occurrence of infection with this pathogen and employed novel methodologies to deal with common but rarely addressed sources of model uncertainty. 3. We used ES to (i) predict the minimum potential geographic distribution of infection with B. dendrobatidis in Australia and (ii) test the hypothesis that ES for B. dendrobatidis should help explain patterns of amphibian decline given its theoretical and empirical link with organism abundance (intensity of infection), a known determinant of disease severity. 4. We show that (i) infection with B. dendrobatidis has probably reached its broad geographic limits in Australia under current climatic conditions but that smaller areas of invasion potential remain, (ii) areas of high predicted ES for B. dendrobatidis accurately reflect areas where population declines due to severe chytridiomycosis have occurred and (iii) that a host-specific metric of ES for B. dendrobatidis (ES for Bdspecies) is the strongest predictor of decline in Australian amphibians at a continental scale yet discovered. 5. Synthesis and applications. Our results provide quantitative information that helps to explain both the spatial distribution and potential effects (risk) of amphibian infection with B. dendrobatidis at the population level. Given scarce conservation resources, our results can be used immediately in Australia and our methods applied elsewhere to prioritize species, regions and actions in the struggle to limit further biodiversity loss.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherBlackwell Publishing Ltd
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom163
dc.relation.ispartofpageto173
dc.relation.ispartofissue1
dc.relation.ispartofjournalJournal of Applied Ecology
dc.relation.ispartofvolume48
dc.rights.retentionY
dc.subject.fieldofresearchEcology
dc.subject.fieldofresearchEcology not elsewhere classified
dc.subject.fieldofresearchcode3103
dc.subject.fieldofresearchcode310399
dc.titleAssessing spatial patterns of disease risk to biodiversity: implications for the management of the amphibian pathogen, Batrachochytrium dendrobatidis
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2011
gro.hasfulltextNo Full Text
gro.griffith.authorMcCallum, Hamish


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