Cao, Y, Yang, R and Carver, S orcid.org/0000-0002-4202-8234 (2020) Linking wilderness mapping and connectivity modelling:A methodological framework for wildland network planning. Biological Conservation, 251. 108679. ISSN 0006-3207
Abstract
Habitat fragmentation is one of the key drivers of global biodiversity loss. In this context, connectivity modelling is increasingly important for effective conservation. Most previous studies on connectivity modelling are based on focal species, while fewer studies focus on models based on landscape naturalness or wildness. We propose a methodological framework for wildland network planning, which utilizes the results from wilderness mapping as input data for connectivity models. The least-cost model and circuit model are applied using Linkage Mapper and Circuitscape, with wilderness areas selected as source patches together with resistance values transformed from a wilderness quality index. Taking the Great Taihang region of China as an example, wildland networks are created and pinch-points are identified. We show that the selection of core patches and resistance surfaces have a significant impact on the resulting corridors. The wildland network could serve as an effective and efficient alternative to habitat network and supplement the protected areas network, especially when the species distribution data are lacking, or a rapid assessment is required. This framework for wildland planning could potentially be applied to fragmented landscapes across various countries to eliminate or reduce the negative impacts of habitat fragmentation on biodiversity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier Ltd. This is an author produced version of a paper published in Biological Conservation. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Habitat fragmentation; Wilderness mapping; Connectivity modelling; Protected areas; Linkage mapper |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Jul 2020 13:19 |
Last Modified: | 24 Sep 2021 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.biocon.2020.108679 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162753 |
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Licence: CC-BY-NC-ND 4.0