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Volume 13
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Article

Resistance-Based Connectivity Model to Construct Corridors of the Przewalski’s Gazelle (Procapra Przewalskii) in Fragmented Landscape

by
Jingjie Zhang
1,2,3,
Feng Jiang
1,2,3,
Zhenyuan Cai
1,3,
Yunchuan Dai
4,
Daoxin Liu
1,2,
Pengfei Song
1,2,
Yuansheng Hou
5,
Hongmei Gao
1,3 and
Tongzuo Zhang
1,3,*
1
Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810001, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Xining 810001, China
4
Institute for Ecology and Environmental Resources, Chongqing Academy of Social Sciences, Chongqing 400020, China
5
Qinghai Lake National Nature Reserve Bureau, Xining 810001, China
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(4), 1656; https://doi.org/10.3390/su13041656
Submission received: 28 December 2020 / Revised: 1 February 2021 / Accepted: 2 February 2021 / Published: 4 February 2021
(This article belongs to the Special Issue Landscape Ecology for Sustainability)
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Abstract

Habitat connectivity is indispensable for the survival of species that occupy a small habitat area and have isolated habitat patches from each other. At present, the development of human economy squeezes the living space of wildlife and interferes and hinders the dispersal of species. The Przewalski’s gazelle (Procapra przewalskii) is one of the most endangered ungulates, which has experienced a significant reduction in population and severe habitat shrinkage. Although the population of this species has recovered to a certain extent, human infrastructure severely hinders the gene flow between several patches of this species. Therefore, we used the maximum entropy (MaxEnt) model to simulate the habitat suitability of the Przewalski’s gazelle. In addition, we combined habitat suitability and ecological characteristics of the species to obtain eight habitat patches. Finally, we used the least-cost path (LCP) and circuit theory based on the resistance model to simulate the landscape network of this species. The results showed that habitat patches and connectivity in the east of the Qinghai Lake were crucial to the communication between populations of the Przewalski gazelle, and our study provided important reference for the distribution of important habitats and the construction of corridor between patches. Our study aimed to provide habitat networks and maintain landscape connectivity for achieving the fundamental goal of protecting and revitalizing populations of the Przewalski’s gazelle.
Keywords: Przewalski’s gazelle; MaxEnt model; least-cost path model; circuit theory model; habitat patches; connectivity Przewalski’s gazelle; MaxEnt model; least-cost path model; circuit theory model; habitat patches; connectivity

Share and Cite

MDPI and ACS Style

Zhang, J.; Jiang, F.; Cai, Z.; Dai, Y.; Liu, D.; Song, P.; Hou, Y.; Gao, H.; Zhang, T. Resistance-Based Connectivity Model to Construct Corridors of the Przewalski’s Gazelle (Procapra Przewalskii) in Fragmented Landscape. Sustainability 2021, 13, 1656. https://doi.org/10.3390/su13041656

AMA Style

Zhang J, Jiang F, Cai Z, Dai Y, Liu D, Song P, Hou Y, Gao H, Zhang T. Resistance-Based Connectivity Model to Construct Corridors of the Przewalski’s Gazelle (Procapra Przewalskii) in Fragmented Landscape. Sustainability. 2021; 13(4):1656. https://doi.org/10.3390/su13041656

Chicago/Turabian Style

Zhang, Jingjie, Feng Jiang, Zhenyuan Cai, Yunchuan Dai, Daoxin Liu, Pengfei Song, Yuansheng Hou, Hongmei Gao, and Tongzuo Zhang. 2021. "Resistance-Based Connectivity Model to Construct Corridors of the Przewalski’s Gazelle (Procapra Przewalskii) in Fragmented Landscape" Sustainability 13, no. 4: 1656. https://doi.org/10.3390/su13041656

APA Style

Zhang, J., Jiang, F., Cai, Z., Dai, Y., Liu, D., Song, P., Hou, Y., Gao, H., & Zhang, T. (2021). Resistance-Based Connectivity Model to Construct Corridors of the Przewalski’s Gazelle (Procapra Przewalskii) in Fragmented Landscape. Sustainability, 13(4), 1656. https://doi.org/10.3390/su13041656

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