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Emerging themes in Population Consequences of Disturbance models
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 Populati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385386/ https://www.ncbi.nlm.nih.gov/pubmed/34428966 http://dx.doi.org/10.1098/rspb.2021.0325 |
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author | Keen, Kelly A. Beltran, Roxanne S. Pirotta, Enrico Costa, Daniel P. |
author_facet | Keen, Kelly A. Beltran, Roxanne S. Pirotta, Enrico Costa, Daniel P. |
author_sort | Keen, Kelly A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8385386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-83853862021-09-20 Emerging themes in Population Consequences of Disturbance models Keen, Kelly A. Beltran, Roxanne S. Pirotta, Enrico Costa, Daniel P. Proc Biol Sci Evidence Synthesis 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. The Royal Society 2021-08-25 2021-08-25 /pmc/articles/PMC8385386/ /pubmed/34428966 http://dx.doi.org/10.1098/rspb.2021.0325 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Evidence Synthesis Keen, Kelly A. Beltran, Roxanne S. Pirotta, Enrico Costa, Daniel P. Emerging themes in Population Consequences of Disturbance models |
title | Emerging themes in Population Consequences of Disturbance models |
title_full | Emerging themes in Population Consequences of Disturbance models |
title_fullStr | Emerging themes in Population Consequences of Disturbance models |
title_full_unstemmed | Emerging themes in Population Consequences of Disturbance models |
title_short | Emerging themes in Population Consequences of Disturbance models |
title_sort | emerging themes in population consequences of disturbance models |
topic | Evidence Synthesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385386/ https://www.ncbi.nlm.nih.gov/pubmed/34428966 http://dx.doi.org/10.1098/rspb.2021.0325 |
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