2015
DOI: 10.1111/ele.12463
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Refugia and connectivity sustain amphibian metapopulations afflicted by disease

Abstract: Metapopulation persistence in fragmented landscapes depends on habitat patches that can support resilient local populations and sufficient connectivity between patches. Yet epidemiological theory for metapopulations has largely overlooked the capacity of particular patches to act as refuges from disease, and has suggested that connectivity can undermine persistence. Here, we show that relatively warm and saline wetlands are environmental refuges from chytridiomycosis for an endangered Australian frog, and act … Show more

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Cited by 80 publications
(80 citation statements)
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“…For example, some evidence suggests that the demographic benefit of connectivity outweighs the infectious risk of disease (McCallum & Dobson ; Heard et al . ), while other evidence points to beneficial fragmented populations experiencing refuge from disease (Becker & Zamudio ).…”
Section: Common Pitfalls In the Application Of Landscape Geneticsmentioning
confidence: 99%
“…For example, some evidence suggests that the demographic benefit of connectivity outweighs the infectious risk of disease (McCallum & Dobson ; Heard et al . ), while other evidence points to beneficial fragmented populations experiencing refuge from disease (Becker & Zamudio ).…”
Section: Common Pitfalls In the Application Of Landscape Geneticsmentioning
confidence: 99%
“…We updated the model by fitting it to a wider monitoring data set that covered 190 sites monitored over 11 seasons (2001/2002 to 2011/2012; n = 2011 surveys; Heard et al. ). This data set includes all the previous surveys.…”
Section: Methodsmentioning
confidence: 99%
“…The model was parameterized such that there is a very small chance vacant patches are colonized from outside sources. Further information on data collection, detectability estimates for L. raniformis and model fitting can be found in Heard et al (2015Heard et al ( , 2006 and Appendix S3, respectively. Surveys were conducted to maximize detection rates by carefully considering the timing (i.e., day vs. night) and duration of surveys (i.e., number of repeat visits to a site within a season; Heard et al 2006).…”
Section: Case Study 1: Growling Grass Frogmentioning
confidence: 99%