Kor, Laura, O’Hickey, Ben, Hanson, Matthew, Coroi, Mihai (2022) Assessing habitat connectivity in environmental impact assessment: a case-study in the UK context. Impact Assessment and Project Appraisal, 40 (6). pp. 495-506. ISSN 1461-5517. (doi:10.1080/14615517.2022.2128557) (KAR id:107345)
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Official URL: https://doi.org/10.1080/14615517.2022.2128557 |
Abstract
Ecological connectivity across landscapes is vital for the maintenance of biodiversity and the processes that enable life on earth. Despite this, environmental planning decisions are usually made at the scale of individual projects, failing to account for landscape-scale impacts. Incorporating habitat connectivity analysis in Environmental Impact Assessments (EIAs) could provide an opportunity to address this gap. We present a novel approach to model habitat connectivity in an EIA undertaken for the Heathrow Third Runway Expansion Project, a proposed development in south-east England. Drawing on field data, remote sensing, and species-specific literature reviews, a circuit theory approach was used to assess functional connectivity across the project landscape for grass snakes Natrix helvetica and soprano pipistrelles Pipistrellus pygmaeus. Results indicated key areas for species movement and potential ‘pinch-points’ vulnerable to development impacts. We discuss lessons learnt, potential applications to inform impact assessment, mitigation design, and biodiversity net gain approaches, and further work required to mainstream connectivity analyses in EIA and decision-making.
Item Type: | Article |
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DOI/Identification number: | 10.1080/14615517.2022.2128557 |
Subjects: | G Geography. Anthropology. Recreation |
Divisions: | Divisions > Division of Human and Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology) |
Funders: | Mott MacDonald (United Kingdom) (https://ror.org/054vpsz16) |
Depositing User: | Laura Kor |
Date Deposited: | 04 Oct 2024 08:28 UTC |
Last Modified: | 07 Oct 2024 10:03 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/107345 (The current URI for this page, for reference purposes) |
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