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Ecological connectivity as a planning tool for the conservation of wildlife in cities
The application of ecological theory in urban planning is becoming more important as land managers focus on increasing biodiversity to improve human welfare in cities. Authorities must decide not only what types of biodiversity-focused infrastructure should be prioritized, but also where new resourc...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860366/ https://www.ncbi.nlm.nih.gov/pubmed/36691673 http://dx.doi.org/10.1016/j.mex.2022.101989 |
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author | Kirk, Holly Soanes, Kylie Amati, Marco Bekessy, Sarah Harrison, Lee Parris, Kirsten Ramalho, Cristina van de Ree, Rodney Threlfall, Caragh |
author_facet | Kirk, Holly Soanes, Kylie Amati, Marco Bekessy, Sarah Harrison, Lee Parris, Kirsten Ramalho, Cristina van de Ree, Rodney Threlfall, Caragh |
author_sort | Kirk, Holly |
collection | PubMed |
description | The application of ecological theory in urban planning is becoming more important as land managers focus on increasing biodiversity to improve human welfare in cities. Authorities must decide not only what types of biodiversity-focused infrastructure should be prioritized, but also where new resources should be positioned and existing resources protected or enhanced. Measuring the contribution of green infrastructure to landscape connectivity can maximise the successful return and conservation of urban nature. By using ecological connectivity theory as a planning tool, the effect of different interventions (both positive and negative) on the ease with which wildlife can move across the landscape can be compared. Here we outline an approach to a) quantify ecological connectivity for different urban wildlife species and b) use this to test different urban planning scenarios using QGIS. We demonstrate extensions which improve the application of this method as a planning tool: • Conversion of the effective mesh size value ([Formula: see text] to a “probability of connectedness” ([Formula: see text] for easier interpretation by local government and comparisons between planning scenarios). • An approach for measuring species-specific connectivity, including how to decide what spatial information should be included and which types of species might be most responsive to connectivity planning. • Guidance for using the method to compare different urban planning scenarios. |
format | Online Article Text |
id | pubmed-9860366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98603662023-01-22 Ecological connectivity as a planning tool for the conservation of wildlife in cities Kirk, Holly Soanes, Kylie Amati, Marco Bekessy, Sarah Harrison, Lee Parris, Kirsten Ramalho, Cristina van de Ree, Rodney Threlfall, Caragh MethodsX Environmental Science The application of ecological theory in urban planning is becoming more important as land managers focus on increasing biodiversity to improve human welfare in cities. Authorities must decide not only what types of biodiversity-focused infrastructure should be prioritized, but also where new resources should be positioned and existing resources protected or enhanced. Measuring the contribution of green infrastructure to landscape connectivity can maximise the successful return and conservation of urban nature. By using ecological connectivity theory as a planning tool, the effect of different interventions (both positive and negative) on the ease with which wildlife can move across the landscape can be compared. Here we outline an approach to a) quantify ecological connectivity for different urban wildlife species and b) use this to test different urban planning scenarios using QGIS. We demonstrate extensions which improve the application of this method as a planning tool: • Conversion of the effective mesh size value ([Formula: see text] to a “probability of connectedness” ([Formula: see text] for easier interpretation by local government and comparisons between planning scenarios). • An approach for measuring species-specific connectivity, including how to decide what spatial information should be included and which types of species might be most responsive to connectivity planning. • Guidance for using the method to compare different urban planning scenarios. Elsevier 2023-01-04 /pmc/articles/PMC9860366/ /pubmed/36691673 http://dx.doi.org/10.1016/j.mex.2022.101989 Text en © 2023 The Authors. Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Environmental Science Kirk, Holly Soanes, Kylie Amati, Marco Bekessy, Sarah Harrison, Lee Parris, Kirsten Ramalho, Cristina van de Ree, Rodney Threlfall, Caragh Ecological connectivity as a planning tool for the conservation of wildlife in cities |
title | Ecological connectivity as a planning tool for the conservation of wildlife in cities |
title_full | Ecological connectivity as a planning tool for the conservation of wildlife in cities |
title_fullStr | Ecological connectivity as a planning tool for the conservation of wildlife in cities |
title_full_unstemmed | Ecological connectivity as a planning tool for the conservation of wildlife in cities |
title_short | Ecological connectivity as a planning tool for the conservation of wildlife in cities |
title_sort | ecological connectivity as a planning tool for the conservation of wildlife in cities |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860366/ https://www.ncbi.nlm.nih.gov/pubmed/36691673 http://dx.doi.org/10.1016/j.mex.2022.101989 |
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