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Integrating larval connectivity into the marine conservation decision-making process across spatial scales
Authors:Dominic Muenzel  Kay Critchell  Courtney Cox  Stuart J Campbell  Raymond Jakub  Wahid Suherfian  La Sara  Iliana Chollett  Eric A Treml  Maria Beger
Institution:1. School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK;2. School of Life and Environmental Sciences, Centre for Integrative Ecology, Deakin University, Geelong, Victoria, Australia;3. Rare, Arlington, Virginia, USA;4. Rare, Arlington, Virginia, USA

Rare Indonesia, Kota Bogor, Indonesia;5. Rare Indonesia, Kota Bogor, Indonesia;6. Department of Aquatic Resources Management, Faculty of Fisheries and Marine Science, Haluoleo University, Kendari, Indonesia;7. Sea Cottage, Louisburgh, Ireland;8. School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK

Centre for Biodiversity and Conservation Science, School of Biological Sciences, University of Queensland, Brisbane, Queensland, Australia

Abstract:Larval dispersal connectivity is typically integrated into spatial conservation decisions at regional or national scales, but implementing agencies struggle with translating these methods to local scales. We used larval dispersal connectivity at regional (hundreds of kilometers) and local (tens of kilometers) scales to aid in design of networks of no-take reserves in Southeast Sulawesi, Indonesia. We used Marxan with Connectivity informed by biophysical larval dispersal models and remotely sensed coral reef habitat data to design marine reserve networks for 4 commercially important reef species across the region. We complemented regional spatial prioritization with decision trees that combined network-based connectivity metrics and habitat quality to design reserve boundaries locally. Decision trees were used in consensus-based workshops with stakeholders to qualitatively assess site desirability, and Marxan was used to identify areas for subsequent network expansion. Priority areas for protection and expected benefits differed among species, with little overlap in reserve network solutions. Because reef quality varied considerably across reefs, we suggest reef degradation must inform the interpretation of larval dispersal patterns and the conservation benefits achievable from protecting reefs. Our methods can be readily applied by conservation practitioners, in this region and elsewhere, to integrate connectivity data across multiple spatial scales.
Keywords:conservation planning  larval dispersal  marine reserve networks  Marxan  spatial prioritization  dispersión larval  Marxan  planeación de la conservación  priorización espacial  redes de reservas marinas  保护规划  幼体扩散  Marxan软件  海洋保护区网络  空间优先保护
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