The incidence function model as a tool for landscape ecological impact assessments

Landscape-scale approaches to assessing the impact of land-use change on species' persistence are necessary because species depend on processes acting at varying scales, yet existing approaches to ecological impact assessment tend only to be site-based. A further major criticism of current ecol...

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Main Authors: Graham, Laura J., Haines-Young, Roy, Field, Richard
Format: Article
Language:English
Published: Elsevier 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/48019/
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author Graham, Laura J.
Haines-Young, Roy
Field, Richard
author_facet Graham, Laura J.
Haines-Young, Roy
Field, Richard
author_sort Graham, Laura J.
building Nottingham Research Data Repository
collection Online Access
description Landscape-scale approaches to assessing the impact of land-use change on species' persistence are necessary because species depend on processes acting at varying scales, yet existing approaches to ecological impact assessment tend only to be site-based. A further major criticism of current ecological impact assessments is that they tend to be qualitative. Here we develop methods that apply the Incidence Function Model (IFM) in real urban planning contexts, by generating repeatable and comparable quantitative measures of ecological impacts. To demonstrate the methods for a case study (Nottingham, UK), we estimated landscape-scale measures of species' persistence that indicate metapopulation viability. We based these on Nottingham’s landscape when urban developments were recently proposed, then adjust the land cover to include the proposed developments, and also for two projected landscapes where 10% and 20% of the original natural or semi-natural land cover is lost. We find that the IFM shows promise as a tool for quantitative landscape-scale ecological impact assessment, depending on the size of the impact. We detected minimal differences in the species' viability measures between the original and post-development landscapes. This suggests that for small (around 2%) cumulative losses of natural/ semi-natural space, current site-based approaches are sufficient. However, when the cumulative effect of continued development was modelled by increasing the losses of natural/semi-natural land cover to 10–20% of existing cover, the impact on many of the species studied was more substantial. This indicates that a landscape-scale approach is necessary for larger, prolonged and cumulative habitat losses.
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spelling nottingham-480192017-12-07T20:59:38Z https://eprints.nottingham.ac.uk/48019/ The incidence function model as a tool for landscape ecological impact assessments Graham, Laura J. Haines-Young, Roy Field, Richard Landscape-scale approaches to assessing the impact of land-use change on species' persistence are necessary because species depend on processes acting at varying scales, yet existing approaches to ecological impact assessment tend only to be site-based. A further major criticism of current ecological impact assessments is that they tend to be qualitative. Here we develop methods that apply the Incidence Function Model (IFM) in real urban planning contexts, by generating repeatable and comparable quantitative measures of ecological impacts. To demonstrate the methods for a case study (Nottingham, UK), we estimated landscape-scale measures of species' persistence that indicate metapopulation viability. We based these on Nottingham’s landscape when urban developments were recently proposed, then adjust the land cover to include the proposed developments, and also for two projected landscapes where 10% and 20% of the original natural or semi-natural land cover is lost. We find that the IFM shows promise as a tool for quantitative landscape-scale ecological impact assessment, depending on the size of the impact. We detected minimal differences in the species' viability measures between the original and post-development landscapes. This suggests that for small (around 2%) cumulative losses of natural/ semi-natural space, current site-based approaches are sufficient. However, when the cumulative effect of continued development was modelled by increasing the losses of natural/semi-natural land cover to 10–20% of existing cover, the impact on many of the species studied was more substantial. This indicates that a landscape-scale approach is necessary for larger, prolonged and cumulative habitat losses. Elsevier 2018-02-28 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/48019/8/Incidence%201-s2.0-S0169204617302876-main.pdf Graham, Laura J., Haines-Young, Roy and Field, Richard (2018) The incidence function model as a tool for landscape ecological impact assessments. Landscape and Urban Planning, 170 . pp. 187-194. ISSN 0169-2046 Ecological impact assessment; Incidence function model; Landscape scale; Habitat loss; Decision making tool; Species persistence https://www.sciencedirect.com/science/article/pii/S0169204617302876 doi:10.1016/j.landurbplan.2017.10.008 doi:10.1016/j.landurbplan.2017.10.008
spellingShingle Ecological impact assessment; Incidence function model; Landscape scale; Habitat loss; Decision making tool; Species persistence
Graham, Laura J.
Haines-Young, Roy
Field, Richard
The incidence function model as a tool for landscape ecological impact assessments
title The incidence function model as a tool for landscape ecological impact assessments
title_full The incidence function model as a tool for landscape ecological impact assessments
title_fullStr The incidence function model as a tool for landscape ecological impact assessments
title_full_unstemmed The incidence function model as a tool for landscape ecological impact assessments
title_short The incidence function model as a tool for landscape ecological impact assessments
title_sort incidence function model as a tool for landscape ecological impact assessments
topic Ecological impact assessment; Incidence function model; Landscape scale; Habitat loss; Decision making tool; Species persistence
url https://eprints.nottingham.ac.uk/48019/
https://eprints.nottingham.ac.uk/48019/
https://eprints.nottingham.ac.uk/48019/