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A GIS‐based decision‐making approach for prioritizing seabird management following predator eradication
Authors:Stephanie B Borrelle  Rachel T Buxton  Holly P Jones  David R Towns
Institution:1. Institute for Applied Ecology New Zealand, School of Applied Sciences, Auckland University of Technology, Auckland 1142, New Zealand;2. Department of Zoology, University of Otago, Dunedin 9054, New Zealand;3. Centre for Sustainability: Agriculture, Food, Energy, and Environment, University of Otago, Dunedin 9054, New Zealand;4. Department of Biological Sciences and Institute for the Study of the Environment, Sustainability, and Energy, Northern Illinois University, DeKalb, IL 60115, U.S.A.;5. Department of Conservation, Auckland 1145, New Zealand
Abstract:Given that 29% of seabird species are threatened with extinction, protecting seabird colonies on offshore islands is a global conservation priority. Seabirds are vulnerable to non‐native predator invasions, which reduce or eliminate colonies. Accordingly, conservation efforts have focused on predator eradication. However, affected populations are often left to passively recover following eradications. Although seabirds are highly mobile, their life history traits such as philopatry can limit passive recolonization of newly predator‐free habitat. In such cases, seabird colonies can potentially be re‐instated with active restoration via chick translocations or social attraction methods, which can be risky and expensive. We used biogeographic and species‐specific behavioral data in the Hauraki Gulf, New Zealand, a global hotspot of seabird diversity and predator eradications, to illustrate the use of geographic information systems multi‐criteria decision analysis to prioritize islands for active seabird restoration. We identified nine islands with low observed passive recovery of seabirds posteradication over a 50‐year timeframe, and classified these as sites where active seabird management could be prioritized. Such spatially explicit tools are flexible, allowing for managers to choose case‐specific criteria such as time, funding, and goals constrained for their conservation needs. Furthermore, this flexibility can also be applied to threatened species management by customizing the decision criteria for individual species' capacity to passively recolonize islands. On islands with complex restoration challenges, decision tools that help island restoration practitioners decide whether active seabird management should be paired with eradication can optimize restoration outcomes and ecosystem recovery.
Keywords:active restoration  decision tools  GIS‐MCDA  island conservation  prioritization  threatened species
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