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Evaluating the urban-rural differences in the environmental factors affecting amphibian roadkill

Evaluating the urban-rural differences in the environmental factors affecting amphibian roadkill
Evaluating the urban-rural differences in the environmental factors affecting amphibian roadkill
Roads have major impacts on wildlife, and the most direct negative effect is through deadly collisions with vehicles, i.e., roadkill. Amphibians are the most frequently road-killed animal group. Due to the significant differences between urban and rural environments, the potential urban-rural differences in factors driving amphibian roadkill risks should be incorporated into the planning of mitigation measures. Drawing on a citizen-collected roadkill dataset from Taiwan island, we present a MaxEnt based modelling analysis to examine potential urban-rural differences in landscape features and environmental factors associated with amphibian road mortality. By incorporating with the Global Human Settlement Layer Settlement Model—an ancillary human settlement dataset divided by built-up area and population density—amphibian roadkill data were divided into urban and rural data sets, and then used to create separate models for urban and rural areas. Model diagnostics suggested good performance (all AUCs > 0.8) of both urban and rural models. Multiple variable importance evaluations revealed significant differences between urban and rural areas. The importance of environmental variables was evaluated based on percent contribution, permutation importance and the Jackknife test. According to the overall results, road density was found to be important in explaining the amphibian roadkill in rural areas, whilst precipitation of warmest quarter was found to best explain the amphibian roadkill in the urban context. The method and outputs illustrated in this study can be useful tools to better understand amphibian road mortality in urban and rural environments and to inform mitigation assessment and conservation planning.
MaxEnt, amphibian, applied spatial modelling, road mortality, roadkill
2071-1050
Zhao, Jingxuan
28868661-01ea-4a2d-b7bc-abef6d54a725
Yu, Weiyu
98f4a1c5-2135-414d-9e74-b528113d26d1
He, Kun
830fbbd1-27cb-44c9-840c-e8d9bf7bca49
Zhao, Kun
544234af-e7e0-41ed-adfb-d2b9f6a80130
Zhou, Chunliang
0cbee018-8bc1-4069-a257-b0de82ade0f2
Wright, Jim A.
94990ecf-f8dd-4649-84f2-b28bf272e464
Li, Fayun
cbc98daa-af28-48ab-b315-6b474116b60a
Zhao, Jingxuan
28868661-01ea-4a2d-b7bc-abef6d54a725
Yu, Weiyu
98f4a1c5-2135-414d-9e74-b528113d26d1
He, Kun
830fbbd1-27cb-44c9-840c-e8d9bf7bca49
Zhao, Kun
544234af-e7e0-41ed-adfb-d2b9f6a80130
Zhou, Chunliang
0cbee018-8bc1-4069-a257-b0de82ade0f2
Wright, Jim A.
94990ecf-f8dd-4649-84f2-b28bf272e464
Li, Fayun
cbc98daa-af28-48ab-b315-6b474116b60a

Zhao, Jingxuan, Yu, Weiyu, He, Kun, Zhao, Kun, Zhou, Chunliang, Wright, Jim A. and Li, Fayun (2023) Evaluating the urban-rural differences in the environmental factors affecting amphibian roadkill. Sustainability, 15 (7), [6051]. (doi:10.3390/su15076051).

Record type: Article

Abstract

Roads have major impacts on wildlife, and the most direct negative effect is through deadly collisions with vehicles, i.e., roadkill. Amphibians are the most frequently road-killed animal group. Due to the significant differences between urban and rural environments, the potential urban-rural differences in factors driving amphibian roadkill risks should be incorporated into the planning of mitigation measures. Drawing on a citizen-collected roadkill dataset from Taiwan island, we present a MaxEnt based modelling analysis to examine potential urban-rural differences in landscape features and environmental factors associated with amphibian road mortality. By incorporating with the Global Human Settlement Layer Settlement Model—an ancillary human settlement dataset divided by built-up area and population density—amphibian roadkill data were divided into urban and rural data sets, and then used to create separate models for urban and rural areas. Model diagnostics suggested good performance (all AUCs > 0.8) of both urban and rural models. Multiple variable importance evaluations revealed significant differences between urban and rural areas. The importance of environmental variables was evaluated based on percent contribution, permutation importance and the Jackknife test. According to the overall results, road density was found to be important in explaining the amphibian roadkill in rural areas, whilst precipitation of warmest quarter was found to best explain the amphibian roadkill in the urban context. The method and outputs illustrated in this study can be useful tools to better understand amphibian road mortality in urban and rural environments and to inform mitigation assessment and conservation planning.

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Accepted/In Press date: 29 March 2023
Published date: 31 March 2023
Additional Information: Funding Information: This research was funded by a grant from the Shanghai Institute of Technology (SIT) through the Talent Recruitment Program (Reference Number: YJ2021-73). Publisher Copyright: © 2023 by the authors.
Keywords: MaxEnt, amphibian, applied spatial modelling, road mortality, roadkill

Identifiers

Local EPrints ID: 476722
URI: http://eprints.soton.ac.uk/id/eprint/476722
ISSN: 2071-1050
PURE UUID: 164ff3c3-deb2-4742-93f6-8256f37972ef
ORCID for Jim A. Wright: ORCID iD orcid.org/0000-0002-8842-2181

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Date deposited: 12 May 2023 16:37
Last modified: 17 Mar 2024 02:59

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Contributors

Author: Jingxuan Zhao
Author: Weiyu Yu
Author: Kun He
Author: Kun Zhao
Author: Chunliang Zhou
Author: Jim A. Wright ORCID iD
Author: Fayun Li

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