Framework for assessing species vulnerability whilst on migration to a spatially explicit anthropogenic pressure

Green, Ros MW, Burton, Niall HK, Cook, Aonghais SCP, Franks, Samantha E and Green, Jonathan A ORCID: 0000-0001-8692-0163 (2025) Framework for assessing species vulnerability whilst on migration to a spatially explicit anthropogenic pressure BIOLOGICAL CONSERVATION, 307. 111118-. ISSN 0006-3207, 1873-2917

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Abstract

Animals are having to adapt to increasing anthropogenic activities and the pressures these create. The impacts experienced when encountering novel pressures on migration may be particularly acute compared to those routinely experienced in other parts of the annual cycle. To mitigate avoidable population declines, stakeholders must rigorously assess which species are vulnerable to these pressures and develop effective management solutions accordingly. However, inconsistent approaches to these assessments often hinder regulatory efficiency and decisions. Here we present a consistent assessment framework for quantifying vulnerability to an identified spatially explicit pressure that might impact populations during migration. Standardised terminologies, methods for consistently scoring sensitivity and exposure, and for quantifying and assessing the role of uncertainty on the vulnerability index, are outlined. The framework is demonstrated using the 29 populations of Anatidae that migrate over UK waters annually and may be exposed to collision risk from offshore wind farms. Sawbills and sea ducks were more vulnerable than swans, geese and other ducks. Even with data uncertainty accounted for, the five most vulnerable species remain consistent, indicating future research and conservation could focus on these species. This consistent framework makes use of accepted terminologies and can be used to develop vulnerability assessments for any migratory species group to any identified anthropogenic pressure. Outputs can be used to guide research efforts and support the implementation of conservation measures even if uncertainty in data remains. Comparisons between different assessments presented using this framework can be used by regulators to inform strategic planning decisions.

Item Type:	Article
Uncontrolled Keywords:	Anatidae, Assessment, Renewable energy, Wildfowl, Waterbird, Exposure
Divisions:	Faculty of Science & Engineering Faculty of Science & Engineering > School of Environmental Sciences
Depositing User:	Symplectic Admin
Date Deposited:	30 Apr 2025 14:18
Last Modified:	16 Jun 2026 17:17
DOI:	10.1016/j.biocon.2025.111118
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3192150
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