4.7 Article

Emerging themes in Population Consequences of Disturbance models

出版社

ROYAL SOC
DOI: 10.1098/rspb.2021.0325

关键词

bioenergetics; anthropogenic disturbance; life-history traits; population dynamics; risk assessment; marine mammals

资金

  1. E&P Sound and Marine Life Joint Industry Programme (JIP) of the International Association of Oil and Gas Producers (IOGP) [00-07-23]
  2. National Defense Science and Engineering Graduate (NDSEG) Fellowship
  3. Office of Naval Research (ONR) [N00014-19-1-2464]
  4. ONR [N00014-18-1-2822]

向作者/读者索取更多资源

The Population Consequences of Disturbance (PCoD) framework is essential in assessing the non-lethal effects of disturbance from human activities on wildlife conservation and management. By linking short-term responses to long-term impacts on individuals and populations, PCoD models offer valuable insights into contextual factors influencing a population's exposure and sensitivity to disturbance, helping prioritize vulnerable populations and guide conservation decisions.
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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