A socio-ecological approach for identifying and contextualising spatial ecosystem-based adaptation priorities at the sub-national level

 

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dc.contributor.author Bourne, Amanda en_ZA
dc.contributor.author Holness, Stephen en_ZA
dc.contributor.author Holden, Petra en_ZA
dc.contributor.author Scorgie, Sarshen en_ZA
dc.contributor.author Donatti, Camila I en_ZA
dc.contributor.author Midgley, Guy en_ZA
dc.date.accessioned 2016-10-31T07:39:19Z
dc.date.available 2016-10-31T07:39:19Z
dc.date.issued 2016 en_ZA
dc.identifier.citation Bourne, A., Holness, S., Holden, P., Scorgie, S., Donatti, C. I., & Midgley, G. (2016). A socio-ecological approach for identifying and contextualising spatial ecosystem-based adaptation priorities at the sub-national level. PloS one, 11(5), e0155235. doi:10.1371/journal.pone.0155235 en_ZA
dc.identifier.uri http://dx.doi.org/10.1371/journal.pone.0155235 en_ZA
dc.identifier.uri http://hdl.handle.net/11427/22366
dc.description.abstract Climate change adds an additional layer of complexity to existing sustainable development and biodiversity conservation challenges. The impacts of global climate change are felt locally, and thus local governance structures will increasingly be responsible for preparedness and local responses. Ecosystem-based adaptation (EbA) options are gaining prominence as relevant climate change solutions. Local government officials seldom have an appropriate understanding of the role of ecosystem functioning in sustainable development goals, or access to relevant climate information. Thus the use of ecosystems in helping people adapt to climate change is limited partially by the lack of information on where ecosystems have the highest potential to do so. To begin overcoming this barrier, Conservation South Africa in partnership with local government developed a socio-ecological approach for identifying spatial EbA priorities at the sub-national level. Using GIS-based multi-criteria analysis and vegetation distribution models, the authors have spatially integrated relevant ecological and social information at a scale appropriate to inform local level political, administrative, and operational decision makers. This is the first systematic approach of which we are aware that highlights spatial priority areas for EbA implementation. Nodes of socio-ecological vulnerability are identified, and the inclusion of areas that provide ecosystem services and ecological resilience to future climate change is innovative. The purpose of this paper is to present and demonstrate a methodology for combining complex information into user-friendly spatial products for local level decision making on EbA. The authors focus on illustrating the kinds of products that can be generated from combining information in the suggested ways, and do not discuss the nuance of climate models nor present specific technical details of the model outputs here. Two representative case studies from rural South Africa demonstrate the replicability of this approach in rural and peri-urban areas of other developing and least developed countries around the world. en_ZA
dc.language.iso eng en_ZA
dc.publisher Public Library of Science en_ZA
dc.rights This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. en_ZA
dc.rights.uri http://creativecommons.org/licenses/by/4.0 en_ZA
dc.source PLoS One en_ZA
dc.source.uri http://journals.plos.org/plosone en_ZA
dc.subject.other Climate change en_ZA
dc.subject.other Ecosystems en_ZA
dc.subject.other Biodiversity en_ZA
dc.subject.other South Africa en_ZA
dc.subject.other Ecosystem functioning en_ZA
dc.subject.other Conservation science en_ZA
dc.subject.other Decision making en_ZA
dc.subject.other Local government en_ZA
dc.title A socio-ecological approach for identifying and contextualising spatial ecosystem-based adaptation priorities at the sub-national level en_ZA
dc.type Journal Article en_ZA
dc.rights.holder © 2016 Bourne et al en_ZA
uct.type.publication Research en_ZA
uct.type.resource Article en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Plant Conservation Unit (PCU) en_ZA
uct.type.filetype Text
uct.type.filetype Image


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This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Except where otherwise noted, this item's license is described as This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.