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dc.contributor.authorLi, Junsheng
dc.contributor.authorLin, Xin
dc.contributor.authorChen, Anping
dc.contributor.authorPeterson, A. Townsend
dc.contributor.authorMa, Keping
dc.contributor.authorBertzky, Monika
dc.contributor.authorCiais, Philippe
dc.contributor.authorKapos, Valerie
dc.contributor.authorPeng, Changhui
dc.contributor.authorPoulter, Benjamin
dc.date.accessioned2014-03-19T17:02:30Z
dc.date.available2014-03-19T17:02:30Z
dc.date.issued2013-01-24
dc.identifier.citationLi, J., Lin, X., Chen, A., Peterson, T., Ma, K., Bertzky, M., … Poulter, B. (2013). Global Priority Conservation Areas in the Face of 21st Century Climate Change. PLoS ONE, 8(1). http://dx.doi.org/10.1371/journal.pone.0054839
dc.identifier.urihttp://hdl.handle.net/1808/13260
dc.description.abstractIn an era when global biodiversity is increasingly impacted by rapidly changing climate, efforts to conserve global biodiversity may be compromised if we do not consider the uneven distribution of climate-induced threats. Here, via a novel application of an aggregate Regional Climate Change Index (RCCI) that combines changes in mean annual temperature and precipitation with changes in their interannual variability, we assess multi-dimensional climate changes across the “Global 200” ecoregions – a set of priority ecoregions designed to “achieve the goal of saving a broad diversity of the Earth’s ecosystems” – over the 21st century. Using an ensemble of 62 climate scenarios, our analyses show that, between 1991–2010 and 2081–2100, 96% of the ecoregions considered will be likely (more than 66% probability) to face moderate-to-pronounced climate changes, when compared to the magnitudes of change during the past five decades. Ecoregions at high northern latitudes are projected to experience most pronounced climate change, followed by those in the Mediterranean Basin, Amazon Basin, East Africa, and South Asia. Relatively modest RCCI signals are expected over ecoregions in Northwest South America, West Africa, and Southeast Asia, yet with considerable uncertainties. Although not indicative of climate-change impacts per se, the RCCI-based assessment can help policy-makers gain a quantitative and comprehensive overview of the unevenly distributed climate risks across the G200 ecoregions. Whether due to significant climate change signals or large uncertainties, the ecoregions highlighted in the assessment deserve special attention in more detailed impact assessments to inform effective conservation strategies under future climate change.
dc.description.sponsorshipThis study was supported by the Environmental Protection Public Service Project of China (201209031) (URL:http://kjs.mep.gov.cn/gyxhykyzx/).
dc.publisherPublic Library of Science
dc.rights© 2013 Li et al. 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.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAfrica
dc.subjectAsia
dc.subjectBiodiversity
dc.subjectClimate change
dc.subjectClimatology
dc.subjectConservation science
dc.subjectForests
dc.subjectLatitude
dc.titleGlobal Priority Conservation Areas in the Face of 21st Century Climate Change
dc.typeArticle
kusw.kuauthorPeterson, A. Townsend
kusw.kudepartmentDepartment of Ecology and Evolutionary Biology
kusw.kudepartmentBiodiversity Institute
kusw.oastatusfullparticipation
dc.identifier.doi10.1371/journal.pone.0054839
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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© 2013 Li et al. 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: © 2013 Li et al. 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.