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LicenseThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposees
AuthorChollett, Iliana
AuthorEscovar-Fadul, Ximena
AuthorSchill, Steven R.
AuthorCróquer, Aldo
AuthorDixon, Adele M.
AuthorBeger, Maria
AuthorShaver, Elizabeth
AuthorPietsch McNulty, Valerie
AuthorWolff, Nicholas H.
Accessioned date2023-12-03T00:37:59Z
Available date2023-12-03T00:37:59Z
Year2022
CitationChollett, I., Escovar‐Fadul, X., Schill, S. R., Croóquer, A., Dixon, A. M., Beger, M., ... & Wolff, N. H. (2022). Planning for resilience: Incorporating scenario and model uncertainty and trade‐offs when prioritizing management of climate refugia. Global Change Biology, 28(13), 4054-4068. Recuperado de:es
URIhttps://bvearmb.do/handle/123456789/3704
AbstractClimate change has become the greatest threat to the world's ecosystems. Locating and managing areas that contribute to the survival of key species under climate change is critical for the persistence of ecosystems in the future. Here, we identify ‘Climate Priority’ sites as coral reefs exposed to relatively low levels of climate stress that will be more likely to persist in the future. We present the first analysis of uncertainty in climate change scenarios and models, along with multiple objectives, in a marine spatial planning exercise and offer a comprehensive approach to incorporating uncertainty and trade-offs in any ecosystem. We first described each site using environmental characteristics that are associated with a higher chance of persistence (larval connectivity, hurricane influence, and acute and chronic temperature conditions in the past and the future). Future temperature increases were assessed using downscaled data under four different climate scenarios (SSP1 2.6, SSP2 4.5, SSP3 7.0 and SSP5 8.5) and 57 model runs. We then prioritized sites for intervention (conservation, improved management or restoration) using robust decision-making approaches that select sites that will have a benign climate under most climate scenarios and models. The modelling work is novel because it solves two important issues. (1) It considers trade-offs between multiple planning objectives explicitly through Pareto analyses and (2) It makes use of all the uncertainty around future climate change. Priority intervention sites identified by the model were verified and refined through local stakeholder engagement including assessments of local threats, ecological conditions and government priorities. The workflow is presented for the Insular Caribbean and Florida, and at the national level for Cuba, Jamaica, Dominican Republic and Haiti. Our approach allows managers to consider uncertainty and multiple objectives for climate-smart spatial management in coral reefs or any ecosystem across the globe.es
LanguageEnglishes
PublishedGlobal Change Biology, 28(13), 4054-4068es
Rights© 2022 The authors. Global Change Biology published by John Wiley & Sons Ltd.es
Rights URIhttp://creativecommons.org/licenses/by-nc/4.0/es
SubjectCambio climáticoes
SubjectRecursos marinoses
SubjectArrecifes de corales
SubjectProblemas ambientaleses
SubjectConservación ambientales
TitlePlanning for resilience : incorporating scenario and model uncertainty and trade-offs when prioritizing management of climate refugiaes
dc.identifier.doihttps://doi.org/10.1111/gcb.16167
Material typeArticlees
Type of contentScientific researches
AccessOpenes
AudienceTechnicians, professionals and scientistses


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This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purpose
Access and downloading this document are subject to this license: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purpose
© 2022 The authors. Global Change Biology published by John Wiley & Sons Ltd.