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dc.contributor.authorTyack, Peter Lloyd
dc.contributor.authorThomas, Len
dc.contributor.authorCosta, Daniel
dc.contributor.authorHall, Ailsa Jane
dc.contributor.authorHarris, Catriona M
dc.contributor.authorHarwood, John
dc.contributor.authorKrauss, Scott
dc.contributor.authorMiller, Patrick James
dc.contributor.authorMoore, Michael
dc.contributor.authorPhotopoulou, Theoni
dc.contributor.authorPirotta, Enrico
dc.contributor.authorRolland, Rosalind
dc.contributor.authorSchwacke, Lori
dc.contributor.authorSimmons, Samantha
dc.contributor.authorSouthall, Brandon
dc.date.accessioned2022-12-06T17:30:07Z
dc.date.available2022-12-06T17:30:07Z
dc.date.issued2022-11-30
dc.identifier281943661
dc.identifier6a889707-674c-4bad-84bb-2720e1455003
dc.identifier85143054585
dc.identifier000892414000002
dc.identifier.citationTyack , P L , Thomas , L , Costa , D , Hall , A J , Harris , C M , Harwood , J , Krauss , S , Miller , P J , Moore , M , Photopoulou , T , Pirotta , E , Rolland , R , Schwacke , L , Simmons , S & Southall , B 2022 , ' Managing the effects of multiple stressors on wildlife populations in their ecosystems : developing a cumulative risk approach ' , Proceedings of the Royal Society of London Series B: Biological Sciences , vol. 289 , no. 1987 , 20222058 . https://doi.org/10.1098/rspb.2022.2058en
dc.identifier.issn0962-8452
dc.identifier.otherORCID: /0000-0002-7562-1771/work/124078471
dc.identifier.otherORCID: /0000-0002-8409-4790/work/124078594
dc.identifier.otherORCID: /0000-0003-3541-3676/work/124078604
dc.identifier.otherORCID: /0000-0001-9616-9940/work/124078661
dc.identifier.otherORCID: /0000-0002-7436-067X/work/124078716
dc.identifier.otherORCID: /0000-0001-9198-2414/work/124079127
dc.identifier.urihttps://hdl.handle.net/10023/26549
dc.descriptionFunding: Office of Naval Research - N000142012697, N000142112096; Strategic Environmental Research and Development Program - RC20-1097, RC20-7188, RC21-3091.en
dc.description.abstractAssessing cumulative effects of human activities on ecosystems is required by many jurisdictions, but current science cannot meet regulatory demands. Regulations define them as effect(s) of one human action combined with other actions. Here we argue for an approach that evaluates the cumulative risk of multiple stressors for protected wildlife populations within their ecosystems. Monitoring effects of each stressor is necessary but not sufficient to estimate how multiple stressors interact to affect wildlife populations. Examining the mechanistic pathways, from cellular to ecological, by which stressors affect individuals can help prioritize stressors and interpret how they interact. Our approach uses health indicators to accumulate the effects of stressors on individuals and to estimate changes in vital rates, driving population status. We advocate using methods well-established in human health and integrating them into ecosystem-based management to protect the health of commercially and culturally important wildlife populations and to protect against risk of extinction for threatened species. Our approach will improve abilities to conserve and manage ecosystems but will also demand significant increases in research and monitoring effort. We advocate for increased investment proportional to the economic scale of human activities in the Anthropocene and their pervasive effects on ecology and biodiversity.
dc.format.extent15
dc.format.extent1554984
dc.language.isoeng
dc.relation.ispartofProceedings of the Royal Society of London Series B: Biological Sciencesen
dc.subjectEcosystemen
dc.subjectCumulative risken
dc.subjectEndangered speciesen
dc.subjectStressorsen
dc.subjectCumulative effectsen
dc.subjectPopulationen
dc.subjectGF Human ecology. Anthropogeographyen
dc.subjectQH301 Biologyen
dc.subjectNDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectMCCen
dc.subject.lccGFen
dc.subject.lccQH301en
dc.titleManaging the effects of multiple stressors on wildlife populations in their ecosystems : developing a cumulative risk approachen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Energy Ethicsen
dc.contributor.institutionUniversity of St Andrews. Office of the Principalen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. Centre for Social Learning & Cognitive Evolutionen
dc.contributor.institutionUniversity of St Andrews. Bioacoustics groupen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.identifier.doi10.1098/rspb.2022.2058
dc.description.statusPeer revieweden


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