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dc.contributor.authorWilliams, Robert
dc.contributor.authorGrand, Joanna
dc.contributor.authorHooker, Sascha Kate
dc.contributor.authorBuckland, Stephen Terrence
dc.contributor.authorReeves, Randall R.
dc.contributor.authorRojas-Bracho, Lorenzo
dc.contributor.authorSandilands, Doug
dc.contributor.authorKaschner, Kristin
dc.date.accessioned2013-09-30T08:01:02Z
dc.date.available2013-09-30T08:01:02Z
dc.date.issued2014-03-04
dc.identifier.citationWilliams , R , Grand , J , Hooker , S K , Buckland , S T , Reeves , R R , Rojas-Bracho , L , Sandilands , D & Kaschner , K 2014 , ' Prioritizing global marine mammal habitats using density maps in place of range maps ' , Ecography , vol. 37 , no. 3 , pp. 212-220 . https://doi.org/10.1111/j.1600-0587.2013.00479.xen
dc.identifier.issn0906-7590
dc.identifier.otherPURE: 72032118
dc.identifier.otherPURE UUID: 24b1276c-7f76-493f-afb1-bc9c19d85662
dc.identifier.otherScopus: 84896725352
dc.identifier.otherORCID: /0000-0002-7518-3548/work/47136146
dc.identifier.otherWOS: 000332149100003
dc.identifier.otherORCID: /0000-0002-9939-709X/work/73701049
dc.identifier.urihttps://hdl.handle.net/10023/4068
dc.descriptionRW collected the BC data with Raincoast Conservation Foundation, and was supported by a Marie Curie International Incoming Fellowship within the 7th European Community Framework Programme (proposal no. 253407 (call reference: FP7‐PEOPLE‐2009‐IIF)) during the analysis stage.en
dc.description.abstractDespite lessons from terrestrial systems, conservation efforts in marine systems continue to focus on identifying priority sites for protection based on high species richness inferred from range maps. Range maps oversimplify spatial variability in animal distributions by assuming uniform distribution within range and de facto giving equal weight to critical and marginal habitats. We used Marxan ver. 2.43 to compare species richness-based systematic reserve network solutions using information about marine mammal range and relative abundance. At a global scale, reserve network solutions were strongly sensitive to model inputs and assumptions. Solutions based on different input data overlapped by a third at most, with agreement as low as 10% in some cases. At a regional scale, species richness was inversely related to density, such that species richness hotspots excluded highest-density areas for all species. Based on these findings, we caution that species-richness estimates derived from range maps and used as input in conservation planning exercises may inadvertently lead to protection of largely marginal habitat.
dc.language.isoeng
dc.relation.ispartofEcographyen
dc.rightsCopyright © 2013 The Authors. Ecography published by Nordic Society Oikos. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en
dc.subjectMarine systemsen
dc.subjectRange mapsen
dc.subjectDensity mapsen
dc.subjectMarine mammal habitatsen
dc.subjectSpecies richnessen
dc.subjectConservationen
dc.subjectQL Zoologyen
dc.subjectQA Mathematicsen
dc.subjectBDYen
dc.subjectR2Cen
dc.subjectSDG 14 - Life Below Wateren
dc.subjectSDG 15 - Life on Landen
dc.subject.lccQLen
dc.subject.lccQAen
dc.titlePrioritizing global marine mammal habitats using density maps in place of range mapsen
dc.typeJournal articleen
dc.contributor.sponsorEuropean Commissionen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. St Andrews Sustainability Instituteen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.1111/j.1600-0587.2013.00479.x
dc.description.statusPeer revieweden
dc.identifier.grantnumber253407en


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