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dc.contributor.authorPirotta, Enrico
dc.contributor.authorBooth, Cormac G.
dc.contributor.authorCosta, Daniel P.
dc.contributor.authorFleishman, Erica
dc.contributor.authorKraus, Scott D.
dc.contributor.authorLusseau, David
dc.contributor.authorMoretti, David
dc.contributor.authorNew, Leslie F.
dc.contributor.authorSchick, Robert S.
dc.contributor.authorSchwarz, Lisa K.
dc.contributor.authorSimmons, Samantha E.
dc.contributor.authorThomas, Len
dc.contributor.authorTyack, Peter L.
dc.contributor.authorWeise, Michael J.
dc.contributor.authorWells, Randall S.
dc.contributor.authorHarwood, John
dc.date.accessioned2018-09-17T16:30:06Z
dc.date.available2018-09-17T16:30:06Z
dc.date.issued2018-09-12
dc.identifier.citationPirotta , E , Booth , C G , Costa , D P , Fleishman , E , Kraus , S D , Lusseau , D , Moretti , D , New , L F , Schick , R S , Schwarz , L K , Simmons , S E , Thomas , L , Tyack , P L , Weise , M J , Wells , R S & Harwood , J 2018 , ' Understanding the population consequences of disturbance ' , Ecology and Evolution , vol. Early View . https://doi.org/10.1002/ece3.4458en
dc.identifier.issn2045-7758
dc.identifier.otherPURE: 255878705
dc.identifier.otherPURE UUID: 26f01b6f-d081-4591-af0e-7d11965afe00
dc.identifier.otherRIS: urn:EE481C6ED04E0FAFE6A55B27B617ED6A
dc.identifier.otherScopus: 85053416560
dc.identifier.otherWOS: 000448803000031
dc.identifier.urihttp://hdl.handle.net/10023/16041
dc.descriptionThis review was supported by Office of Naval Research grant N00014‐16‐1‐2858: “PCoD+: Developing widely‐applicable models of the population consequences of disturbance.” PLT and DL acknowledge support from the MASTS pooling initiative (Marine Alliance for Science and Technology for Scotland; supported by the Scottish Funding Council, grant reference HR09011, and contributing institutions) and PLT acknowledges support from ONR grant N00014‐15‐1‐2553.en
dc.description.abstractManaging the nonlethal effects of disturbance on wildlife populations has been a long-term goal for decision makers, managers, and ecologists, and assessment of these effects is currently required by European Union and United States legislation. However, robust assessment of these effects is challenging. The management of human activities that have nonlethal effects on wildlife is a specific example of a fundamental ecological problem: how to understand the population-level consequences of changes in the behavior or physiology of individual animals that are caused by external stressors. In this study, we review recent applications of a conceptual framework for assessing and predicting these consequences for marine mammal populations. We explore the range of models that can be used to formalize the approach and we identify critical research gaps. We also provide a decision tree that can be used to select the most appropriate model structure given the available data. Synthesis and applications: The implementation of this framework has moved the focus of discussion of the management of nonlethal disturbances on marine mammal populations away from a rhetorical debate about defining negligible impact and toward a quantitative understanding of long-term population-level effects. Here we demonstrate the framework's general applicability to other marine and terrestrial systems and show how it can support integrated modeling of the proximate and ultimate mechanisms that regulate trait-mediated, indirect interactions in ecological communities, that is, the nonconsumptive effects of a predator or stressor on a species' behavior, physiology, or life history.
dc.format.extent13
dc.language.isoeng
dc.relation.ispartofEcology and Evolutionen
dc.rights© 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. 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.subjectAnthropogenic disturbanceen
dc.subjectEnvironmental impact assessmentsen
dc.subjectMarine mammalsen
dc.subjectNonconsumptive effectsen
dc.subjectPopulation consequencesen
dc.subjectTrait-mediated indirect interactionsen
dc.subjectUncertaintyen
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleUnderstanding the population consequences of disturbanceen
dc.typeJournal itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.SMRU Consultingen
dc.contributor.institutionUniversity of St Andrews.Applied Mathematicsen
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Centre for Social Learning & Cognitive Evolutionen
dc.contributor.institutionUniversity of St Andrews.Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews.Sound Tags Groupen
dc.contributor.institutionUniversity of St Andrews.Bioacoustics groupen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.St Andrews Sustainability Instituteen
dc.identifier.doihttps://doi.org/10.1002/ece3.4458
dc.description.statusPeer revieweden


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