Dataset Information

Prioritizing conservation actions in urbanizing landscapes.

ABSTRACT: Urbanization-driven landscape changes are harmful to many species. Negative effects can be mitigated through habitat preservation and restoration, but it is often difficult to prioritize these conservation actions. This is due, in part, to the scarcity of species response data, which limit the predictive accuracy of modeling to estimate critical thresholds for biological decline and recovery. To address these challenges, we quantify effort required for restoration, in combination with a clear conservation objective and associated metric (e.g., habitat for focal organisms). We develop and apply this framework to coho salmon (Oncorhynchus kisutch), a highly migratory and culturally iconic species in western North America that is particularly sensitive to urbanization. We examine how uncertainty in biological parameters may alter locations prioritized for conservation action and compare this to the effect of shifting to a different conservation metric (e.g., a different focal salmon species). Our approach prioritized suburban areas (those with intermediate urbanization effects) for preservation and restoration action to benefit coho. We found that prioritization was most sensitive to the selected metric, rather than the level of uncertainty or critical threshold values. Our analyses highlight the importance of identifying metrics that are well-aligned with intended outcomes.

SUBMITTER: Ettinger AK

PROVIDER: S-EPMC7804858 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Prioritizing conservation actions in urbanizing landscapes.

Ettinger A K AK Buhle E R ER Feist B E BE Howe E E Spromberg J A JA Scholz N L NL Levin P S PS

Scientific reports 20210112 1

Urbanization-driven landscape changes are harmful to many species. Negative effects can be mitigated through habitat preservation and restoration, but it is often difficult to prioritize these conservation actions. This is due, in part, to the scarcity of species response data, which limit the predictive accuracy of modeling to estimate critical thresholds for biological decline and recovery. To address these challenges, we quantify effort required for restoration, in combination with a clear co ...[more]

PMID: 33436640

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Dataset Information

Prioritizing conservation actions in urbanizing landscapes.

Publications

Prioritizing conservation actions in urbanizing landscapes.

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