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Estimating the cumulative impact and zone of influence of anthropogenic features on biodiversity
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2023 (English)In: Methods in Ecology and Evolution, E-ISSN 2041-210X, Vol. 14, p. 2362-2375Article in journal (Refereed) Published
Abstract [en]

The concept of cumulative impacts is widespread in policy documents, regulations and ecological studies, but quantification methods are still evolving. Infrastructure development usually takes place in landscapes with preexisting anthropogenic features. Typically, their impact is determined by computing the distance to the nearest feature only, thus ignoring the potential cumulative impacts of multiple features. We propose the cumulative ZOI approach to assess whether and to what extent anthropogenic features lead to cumulative impacts. The approach estimates both effect size and zone of influence (ZOI) of anthropogenic features and allows for estimation of cumulative effects of multiple features distributed in the landscape. First, we use simulations and an empirical study to understand under which circumstances cumulative impacts arise. Second, we demonstrate the approach by estimating the cumulative impacts of tourist infrastructure in Norway on the habitat of wild reindeer (Rangifer t. tarandus), a near-threatened species highly sensitive to anthropogenic disturbance. In the simulations, we showed that analyses based on the nearest feature and our cumulative approach are indistinguishable in two extreme cases: when features are few and scattered and their ZOI is small, and when features are clustered and their ZOI is large. The empirical analyses revealed cumulative impacts of private cabins and tourist resorts on reindeer, extending up to 10 and 20 km, with different decaying functions. Although the impact of an isolated private cabin was negligible, the cumulative impact of ‘cabin villages’ could be much larger than that of a single large tourist resort. Focusing on the nearest feature only underestimates the impact of ‘cabin villages’ on reindeer. The suggested approach allows us to quantify the magnitude and spatial extent of cumulative impacts of point, linear, and polygon features in a computationally efficient and flexible way and is implemented in the oneimpact R package. The formal framework offers the possibility to avoid widespread underestimations of anthropogenic impacts in ecological and impact assessment studies and can be applied to a wide range of spatial response variables, including habitat selection, population abundance, species richness and diversity, community dynamics and other ecological processes. © 2023 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society.

Place, publisher, year, edition, pages
British Ecological Society, 2023. Vol. 14, p. 2362-2375
Keywords [en]
Anthropocene, cumulative effects, distance-weighting, habitat loss, habitat selection, kernel density, Rangifer tarandus, scale of effect
National Category
Ecology
Identifiers
URN: urn:nbn:se:du-46164DOI: 10.1111/2041-210X.14133ISI: 001000663600001Scopus ID: 2-s2.0-85160813753OAI: oai:DiVA.org:du-46164DiVA, id: diva2:1765728
Available from: 2023-06-12 Created: 2023-06-12 Last updated: 2024-01-17Bibliographically approved

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Alam, Moudud

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
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  • de-DE
  • en-GB
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  • nn-NO
  • nn-NB
  • sv-SE
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Output format
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