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Using ensemble modeling to predict the impacts of assisted migration on recipient ecosystems
Authors:Katie Peterson  Michael Bode
Institution:1. ARC Centre of Excellence for Coral Reef Studies, Sir George Fisher Research Building, James Cook University, 1 James Cook Drive, Douglas, QLD, 4814 Australia;2. School of Mathematical Sciences, Queensland University of Technology, 2 George Street, Brisbane, QLD, 4000 Australia
Abstract:Assisted migration is a controversial conservation measure that aims to protect threatened species by moving part of their population outside its natural range. Although this could save species from extinction, it also introduces a range of risks. The magnitude of the threat to recipient ecosystems has not been investigated quantitatively, despite being the most common criticism leveled at the action. We used an ensemble modeling framework to estimate the risks of assisted migration to existing species within ecosystems. With this approach, we calculated the consequences of an assisted migration project across a very large combination of translocated species and recipient ecosystems. We predicted the probability of a successful assisted migration and the number of local extinctions would result from establishment of the translocated species. Using an ensemble of urn:x-wiley:08888892:media:cobi13571:cobi13571-math-0001 simulated 15-species recipient ecosystems, we estimated that translocated species will successfully establish in 83% of cases if introduced to stable, high-quality habitats. However, assisted migration projects were estimated to cause an average of 0.6 extinctions and 5% of successful translocations triggered 4 or more local extinctions. Quantifying the impacts to species within recipient ecosystems is critical to help managers weigh the benefits and negative consequences of assisted migration.
Keywords:assisted colonization  ensemble modeling  restoration  risk analysis  análisis de riesgo  colonización asistida  modelación en conjunto  restauración  辅助定植  整体建模  风险分析  恢复
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