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dc.contributor.authorFortnam, M
dc.contributor.authorAtkins, M
dc.contributor.authorBrown, K
dc.contributor.authorChaigneau, T
dc.contributor.authorFrouws, A
dc.contributor.authorGwaro, K
dc.contributor.authorHuxham, M
dc.contributor.authorKairo, J
dc.contributor.authorKimeli, A
dc.contributor.authorKirui, B
dc.contributor.authorSheen, K
dc.date.accessioned2020-05-12T09:44:38Z
dc.date.issued2020-03-09
dc.description.abstractThe 2015–2016 El Niño had large impacts globally. The effects were not as great as anticipated in Kenya, however, leading some commentators to call it a ‘non-event’. Our study uses a novel combination of participatory Climate Vulnerability and Capacity Analysis tools, and new and existing social and biophysical data, to analyse vulnerability to, and the multidimensional impacts of, the 2015–2016 El Niño episode in southern coastal Kenya. Using a social-ecological systems lens and a unique dataset, our study reveals impacts overlooked by conventional analysis. We show how El Niño stressors interact with and amplify existing vulnerabilities to differentially impact local ecosystems and people. The policy significance of this finding is that the development of specific national capacities to deal with El Niño events is insufficient; it will be necessary to also address local vulnerabilities to everyday and recurrent stressors and shocks to build resilience to the effects of El Niño and other extremes in climate and weather.en_GB
dc.description.sponsorshipDepartment for International Development (DFID)en_GB
dc.description.sponsorshipEconomic and Social Research Council (ESRC)en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.identifier.citationPublished online 9 March 2020en_GB
dc.identifier.doi10.1007/s13280-020-01321-z
dc.identifier.grantnumberNE-K010484-1en_GB
dc.identifier.grantnumberNE-L001535-1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/121008
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.rights© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/.en_GB
dc.titleMultiple impact pathways of the 2015–2016 El Niño in coastal Kenyaen_GB
dc.typeArticleen_GB
dc.date.available2020-05-12T09:44:38Z
dc.identifier.issn0044-7447
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this recorden_GB
dc.identifier.journalAmbioen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-01-17
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-02-09
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-05-12T09:41:18Z
refterms.versionFCDVoR
refterms.dateFOA2020-05-12T09:44:42Z
refterms.panelCen_GB
refterms.depositExceptionpublishedGoldOA


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© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as
long as you give appropriate credit to the original author(s) and the
source, provide a link to the Creative Commons licence, and indicate
if changes were made. The images or other third party material in this
article are included in the article’s Creative Commons licence, unless
indicated otherwise in a credit line to the material. If material is not
included in the article’s Creative Commons licence and your intended
use is not permitted by statutory regulation or exceeds the permitted
use, you will need to obtain permission directly from the copyright
holder. To view a copy of this licence, visit http://creativecommons.
org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/.