Predicting habitat functionality using habitat network models in urban planning

Recently, the European Union adopted a Nature restoration law that aims to stop the ongoing decline of biodiversity and even bring back nature to cities. This is challenging as urbanization is an ongoing process that thrives for more land and densification. In this paper we describe a new Open-Source GIS-tool that automates habitat network analyses and simultaneously generates several maps that can be used for assessments, targeting species survival in urban environments. One result of particular interest is the habitat functionality map that combines values of habitat quality and connectivity. We tested the tool’s ability to predict habitat functionality using amphibian occurrence data observed from the city of Gothenburg in Sweden. Our evaluation shows that habitat functionality was generally a good predictor of amphibian distribution. However, the predictability was sensitive to the cartographic representativity of the input biotope map used. Also, predictions of habitat functionality improved when estimating dispersal probabilities using the Cost-distance algorithm, compared to when using Euclidean distance from reproductive habitats. This finding supports the need to use connectivity models that are responsive to variation and changes in roads, traffic volumes and buildings when performing effect analyses on biodiversity in cities. Finally, we demonstrate how the tool can be used to easily identify areas where restoration measures can effectively increase habitat functionality for target species. This can help planners to find efficient solutions for increasing biodiversity within urban areas.

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Publication Details

Journal
Environment and Planning B Urban Analytics and City Science
Published
2024-11-11
DOI
https://doi.org/10.1177/23998083241299165
Citations
2
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
0.92

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article

Predicting habitat functionality using habitat network models in urban planning

Meta Berghauser Pont, Ioanna Stavroulaki, Oskar Kindvall, Emy Lanemo et al.
2 citations
Environment and Planning B Urban Analytics and City Science
Wildlife-Road Interactions and Conservation
0.92
article

Predicting habitat functionality using habitat network models in urban planning

Meta Berghauser Pont, Ioanna Stavroulaki, Oskar Kindvall, Emy Lanemo, Lena Wigren, Monika Levan
article en
2 citations

Abstract

Recently, the European Union adopted a Nature restoration law that aims to stop the ongoing decline of biodiversity and even bring back nature to cities. This is challenging as urbanization is an ongoing process that thrives for more land and densification. In this paper we describe a new Open-Source GIS-tool that automates habitat network analyses and simultaneously generates several maps that can be used for assessments, targeting species survival in urban environments. One result of particular interest is the habitat functionality map that combines values of habitat quality and connectivity. We tested the tool’s ability to predict habitat functionality using amphibian occurrence data observed from the city of Gothenburg in Sweden. Our evaluation shows that habitat functionality was generally a good predictor of amphibian distribution. However, the predictability was sensitive to the cartographic representativity of the input biotope map used. Also, predictions of habitat functionality improved when estimating dispersal probabilities using the Cost-distance algorithm, compared to when using Euclidean distance from reproductive habitats. This finding supports the need to use connectivity models that are responsive to variation and changes in roads, traffic volumes and buildings when performing effect analyses on biodiversity in cities. Finally, we demonstrate how the tool can be used to easily identify areas where restoration measures can effectively increase habitat functionality for target species. This can help planners to find efficient solutions for increasing biodiversity within urban areas.

Environment and Planning B Urban Analytics and City ScienceVol. 52(6)
Swedish National Heritage Board (SE), Swedish Transport Administration (SE), Region Västra Götaland (SE), Business Region Göteborg (Sweden) (SE), Chalmers University of Technology (SE)
Svenska Forskningsrådet Formas
Sustainable cities and communities
Openalex Percentile: Top 22%
Wildlife-Road Interactions and Conservation
0.92
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