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      Emerging themes in Population Consequences of Disturbance models

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          Abstract

          Assessing the non-lethal effects of disturbance from human activities is necessary for wildlife conservation and management. However, linking short-term responses to long-term impacts on individuals and populations is a significant hurdle for evaluating the risks of a proposed activity. The Population Consequences of Disturbance (PCoD) framework conceptually describes how disturbance can lead to changes in population dynamics, and its real-world application has led to a suite of quantitative models that can inform risk assessments. Here, we review PCoD models that forecast the possible consequences of a range of disturbance scenarios for marine mammals. In so doing, we identify common themes and highlight general principles to consider when assessing risk. We find that, when considered holistically, these models provide valuable insights into which contextual factors influence a population's degree of exposure and sensitivity to disturbance. We also discuss model assumptions and limitations, identify data gaps and suggest future research directions to enable PCoD models to better inform risk assessments and conservation and management decisions. The general principles explored can help wildlife managers and practitioners identify and prioritize the populations most vulnerable to disturbance and guide industry in planning activities that avoid or mitigate population-level effects.

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          Most cited references135

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                Author and article information

                Contributors
                Journal
                Proc Biol Sci
                Proc Biol Sci
                RSPB
                royprsb
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                August 25, 2021
                August 25, 2021
                August 25, 2021
                : 288
                : 1957
                : 20210325
                Affiliations
                [ 1 ] Department of Ecology and Evolutionary Biology, University of California, , Santa Cruz, CA, USA
                [ 2 ] Institute of Marine Sciences, University of California, , Santa Cruz, CA, USA
                [ 3 ] Centre for Research into Ecological and Environmental Modelling, University of St Andrews, , UK
                [ 4 ] School of Biological, Earth, and Environmental Sciences, University College Cork, , Cork, Ireland
                Author notes

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.5556860.

                Author information
                http://orcid.org/0000-0001-7839-6875
                http://orcid.org/0000-0002-8520-1105
                http://orcid.org/0000-0003-3541-3676
                http://orcid.org/0000-0002-0233-5782
                Article
                rspb20210325
                10.1098/rspb.2021.0325
                8385386
                34428966
                0b26004b-a46e-4016-8e30-916c82999176
                © 2021 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : Feburary 8, 2021
                : July 29, 2021
                Funding
                Funded by: Office of Naval Research, http://dx.doi.org/10.13039/100000006;
                Award ID: N00014-18-1-2822
                Award ID: N00014-19-1-2464
                Funded by: E&P Sound and Marine Life Joint Industry Programme of the International Association of Oil and Gas Producers;
                Award ID: 00-07-23
                Funded by: National Defense Science and Engineering Graduate Fellowship;
                Categories
                1001
                60
                14
                Evidence Synthesis
                Evidence Synthesis
                Custom metadata
                August 25, 2021

                Life sciences
                bioenergetics,anthropogenic disturbance,life-history traits,population dynamics,risk assessment,marine mammals

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