Evaluation of the policy-driven ecological network in the Three-North Shelterbelt region of China
•We built a policy-driven regional ecological network in China.•We evaluated the corridors in the network using the space syntax approach.•We identified vulnerable regions from the ecological network.•We applied the ecological network for human footprint and biodiversity analyses. The Three-North Sh...
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| Vydáno v: | Landscape and urban planning Ročník 218; s. 104305 |
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| Hlavní autoři: | , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier B.V
01.02.2022
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| Témata: | |
| ISSN: | 0169-2046, 1872-6062 |
| On-line přístup: | Získat plný text |
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| Abstract | •We built a policy-driven regional ecological network in China.•We evaluated the corridors in the network using the space syntax approach.•We identified vulnerable regions from the ecological network.•We applied the ecological network for human footprint and biodiversity analyses.
The Three-North Shelterbelt (TNS) program is one of China's major ecological restoration projects over the past few decades. However, evaluation of the ecological network in the TNS region has not been explored yet, in the face of intensified human activities. This study evaluated the ecological network in the TNS region from a policy-driven perspective (i.e., nature reserves). First, we mapped the ecological resistance surface in the TNS region using multiple remotely sensed ecological indicators. Then, using the derived resistance surface, we generated the ecological network and evaluated its connectivity (e.g., corridors) using the space syntax approach. Finally, we investigated the intensity of human activities and the occurrence of species around the derived ecological network. We found the ecological network is denser in humid regions than in arid areas. There are several vulnerable regions in the southern part of the Qilian Mountains and the northern part of Shaanxi. Besides, we observed overall consistent decreasing trends of human activities and species numbers along with the increase of distance to the ecological network, suggesting these corridors of ecological network play a crucial role in maintaining the biodiversity, although they are also under severe stresses of intensified human activities. Our study provides a paradigm of generating the ecological network at a large scale (i.e., the entire TNS region), showing great potential to support the phase III TNS program for sustainable development of ecological resources. |
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| AbstractList | The Three-North Shelterbelt (TNS) program is one of China's major ecological restoration projects over the past few decades. However, evaluation of the ecological network in the TNS region has not been explored yet, in the face of intensified human activities. This study evaluated the ecological network in the TNS region from a policy-driven perspective (i.e., nature reserves). First, we mapped the ecological resistance surface in the TNS region using multiple remotely sensed ecological indicators. Then, using the derived resistance surface, we generated the ecological network and evaluated its connectivity (e.g., corridors) using the space syntax approach. Finally, we investigated the intensity of human activities and the occurrence of species around the derived ecological network. We found the ecological network is denser in humid regions than in arid areas. There are several vulnerable regions in the southern part of the Qilian Mountains and the northern part of Shaanxi. Besides, we observed overall consistent decreasing trends of human activities and species numbers along with the increase of distance to the ecological network, suggesting these corridors of ecological network play a crucial role in maintaining the biodiversity, although they are also under severe stresses of intensified human activities. Our study provides a paradigm of generating the ecological network at a large scale (i.e., the entire TNS region), showing great potential to support the phase III TNS program for sustainable development of ecological resources. •We built a policy-driven regional ecological network in China.•We evaluated the corridors in the network using the space syntax approach.•We identified vulnerable regions from the ecological network.•We applied the ecological network for human footprint and biodiversity analyses. The Three-North Shelterbelt (TNS) program is one of China's major ecological restoration projects over the past few decades. However, evaluation of the ecological network in the TNS region has not been explored yet, in the face of intensified human activities. This study evaluated the ecological network in the TNS region from a policy-driven perspective (i.e., nature reserves). First, we mapped the ecological resistance surface in the TNS region using multiple remotely sensed ecological indicators. Then, using the derived resistance surface, we generated the ecological network and evaluated its connectivity (e.g., corridors) using the space syntax approach. Finally, we investigated the intensity of human activities and the occurrence of species around the derived ecological network. We found the ecological network is denser in humid regions than in arid areas. There are several vulnerable regions in the southern part of the Qilian Mountains and the northern part of Shaanxi. Besides, we observed overall consistent decreasing trends of human activities and species numbers along with the increase of distance to the ecological network, suggesting these corridors of ecological network play a crucial role in maintaining the biodiversity, although they are also under severe stresses of intensified human activities. Our study provides a paradigm of generating the ecological network at a large scale (i.e., the entire TNS region), showing great potential to support the phase III TNS program for sustainable development of ecological resources. |
| ArticleNumber | 104305 |
| Author | Mu, Haowei Ma, Haijiao Yu, Zhen Xu, Chen Yin, Dongqin Li, Baoguo Du, Xiaoping Liu, Hualiang Su, Wei Li, Xuecao Huang, Jianxi |
| Author_xml | – sequence: 1 givenname: Haowei surname: Mu fullname: Mu, Haowei email: 0218742@stu.lzjtu.edu.cn organization: Collage of Land Science and Technology, China Agricultural University, Beijing 100083, China – sequence: 2 givenname: Xuecao surname: Li fullname: Li, Xuecao email: xuecaoli@cau.edu.cn organization: Collage of Land Science and Technology, China Agricultural University, Beijing 100083, China – sequence: 3 givenname: Haijiao surname: Ma fullname: Ma, Haijiao email: mahaijiao@nwsuaf.edu.cn organization: College of Water Resources and Architectural Engineering, Northwest Agriculture and Forestry University, Yangling, Shaanxi 712100, China – sequence: 4 givenname: Xiaoping surname: Du fullname: Du, Xiaoping email: duxp@radi.ac.cn organization: Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China – sequence: 5 givenname: Jianxi surname: Huang fullname: Huang, Jianxi email: jxhuang@cau.edu.cn organization: Collage of Land Science and Technology, China Agricultural University, Beijing 100083, China – sequence: 6 givenname: Wei surname: Su fullname: Su, Wei email: suwei@cau.edu.cn organization: Collage of Land Science and Technology, China Agricultural University, Beijing 100083, China – sequence: 7 givenname: Zhen surname: Yu fullname: Yu, Zhen email: zyu@nuist.edu.cn organization: Institute of Ecology, Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China – sequence: 8 givenname: Chen surname: Xu fullname: Xu, Chen email: xuchen20@mails.ucas.ac.cn organization: Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China – sequence: 9 givenname: Hualiang surname: Liu fullname: Liu, Hualiang email: hualiangliu@pku.edu.cn organization: Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China – sequence: 10 givenname: Dongqin surname: Yin fullname: Yin, Dongqin email: dongqin.yin@cau.edu.cn organization: Collage of Land Science and Technology, China Agricultural University, Beijing 100083, China – sequence: 11 givenname: Baoguo surname: Li fullname: Li, Baoguo email: libg@cau.edu.cn organization: Collage of Land Science and Technology, China Agricultural University, Beijing 100083, China |
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| Snippet | •We built a policy-driven regional ecological network in China.•We evaluated the corridors in the network using the space syntax approach.•We identified... The Three-North Shelterbelt (TNS) program is one of China's major ecological restoration projects over the past few decades. However, evaluation of the... |
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| SubjectTerms | biodiversity Biodiversity conservation China Corridors ecological restoration Human footprint humans landscapes Remote sensing sustainable development |
| Title | Evaluation of the policy-driven ecological network in the Three-North Shelterbelt region of China |
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