Journal of Applied Ecology · 2013 · 70 citations · 25 references
Natural ResourcesBiodiversity ConservationConservation BiologyInvasive Species ManagementSpecies ConservationWildlife ManagementEradication StrategiesIsland Species ConservationWildlife ConservationWildlife Survey MethodsCapture-recapture ModelsEradicationEradication Success MetricsInvasive Animal EradicationIsland EradicationPredictive ModellingSpatial Capture-recaptureSpatially Explicit Capture-recapture
Summary Eradication of introduced rodents on islands is increasingly implemented as a conservation tool. Aerial baiting, currently the main eradication technique, provides no information on whether eradication has been achieved. Success is usually evaluated after a standard period of 2 years with no sign of rodents. We describe a novel approach to assess the success of eradication efforts based on a project to eradicate ship rats Rattus rattus from Isabel Island (82 ha), Mexico. We used detection and home‐range parameters obtained from a capture–recapture study completed prior to aerial baiting to build a spatial‐survey model that predicts probability of eradication after the treatment. The spatial‐survey model estimated a >99% probability of success after two surveys with no rats detected. This approach can be used to make eradication projects more cost‐effective. Survivors, if any, could be located and dispatched by localized control methods. This avoids repeat aerial baiting of the whole island if failure becomes apparent. This model is a useful tool for (a) assessing the probability of eradication within weeks, rather than years of an operation, and (b) predicting the required survey effort to achieve a probability of success consistent with the costs and risks of falsely declaring eradication success. Synthesis and applications : Rapid assessment of success after rodent eradication efforts on islands results in financial savings by potentially reducing the duration of the projects. Improvements in biosecurity guidelines might also accrue as delays in detecting rats after an operation may confound their identification as offspring of survivors or re‐invaders. Advanced techniques and predictive modelling will increase confidence among partners and donors and allow more efficient achievement of regional programmes.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Turning the tide: The eradication of invasive species
Sankarsan Roy, CG Jones, Seymour E. Harris · 2002 · 1.1K citations
Density estimation in live‐trapping studies
Murray G. Efford · Oikos · 2004 · 774 citations