Estimating the cumulative impact and zone of influence of anthropogenic features on biodiversity

Abstract 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...

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Main Authors: Bernardo Brandão Niebuhr, Bram Van Moorter, Audun Stien, Torkild Tveraa, Olav Strand, Knut Langeland, Per Sandström, Moudud Alam, Anna Skarin, Manuela Panzacchi
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Methods in Ecology and Evolution
Subjects:
Online Access:https://doi.org/10.1111/2041-210X.14133
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author Bernardo Brandão Niebuhr
Bram Van Moorter
Audun Stien
Torkild Tveraa
Olav Strand
Knut Langeland
Per Sandström
Moudud Alam
Anna Skarin
Manuela Panzacchi
author_facet Bernardo Brandão Niebuhr
Bram Van Moorter
Audun Stien
Torkild Tveraa
Olav Strand
Knut Langeland
Per Sandström
Moudud Alam
Anna Skarin
Manuela Panzacchi
author_sort Bernardo Brandão Niebuhr
collection DOAJ
description Abstract 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.
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spelling doaj.art-ce9ae70e4b064b07ad785b719ceba5f62023-09-06T04:43:40ZengWileyMethods in Ecology and Evolution2041-210X2023-09-011492362237510.1111/2041-210X.14133Estimating the cumulative impact and zone of influence of anthropogenic features on biodiversityBernardo Brandão Niebuhr0Bram Van Moorter1Audun Stien2Torkild Tveraa3Olav Strand4Knut Langeland5Per Sandström6Moudud Alam7Anna Skarin8Manuela Panzacchi9Norwegian Institute for Nature Research (NINA) Trondheim NorwayNorwegian Institute for Nature Research (NINA) Trondheim NorwayThe Arctic University of Norway (UiT) Tromsø NorwayNorwegian Institute for Nature Research (NINA) Tromsø NorwayNorwegian Institute for Nature Research (NINA) Trondheim NorwayNorwegian Institute for Nature Research (NINA) Tromsø NorwaySwedish University of Agricultural Sciences (SLU) Umeå SwedenDalarna University Falun SwedenSwedish University of Agricultural Sciences (SLU) Uppsala SwedenNorwegian Institute for Nature Research (NINA) Trondheim NorwayAbstract 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.https://doi.org/10.1111/2041-210X.14133Anthropocenecumulative effectsdistance‐weightinghabitat losshabitat selectionkernel density
spellingShingle Bernardo Brandão Niebuhr
Bram Van Moorter
Audun Stien
Torkild Tveraa
Olav Strand
Knut Langeland
Per Sandström
Moudud Alam
Anna Skarin
Manuela Panzacchi
Estimating the cumulative impact and zone of influence of anthropogenic features on biodiversity
Methods in Ecology and Evolution
Anthropocene
cumulative effects
distance‐weighting
habitat loss
habitat selection
kernel density
title Estimating the cumulative impact and zone of influence of anthropogenic features on biodiversity
title_full Estimating the cumulative impact and zone of influence of anthropogenic features on biodiversity
title_fullStr Estimating the cumulative impact and zone of influence of anthropogenic features on biodiversity
title_full_unstemmed Estimating the cumulative impact and zone of influence of anthropogenic features on biodiversity
title_short Estimating the cumulative impact and zone of influence of anthropogenic features on biodiversity
title_sort estimating the cumulative impact and zone of influence of anthropogenic features on biodiversity
topic Anthropocene
cumulative effects
distance‐weighting
habitat loss
habitat selection
kernel density
url https://doi.org/10.1111/2041-210X.14133
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