干旱区生态环境知识资源中心(Arid): Evaluation of the policy-driven ecological network in the Three-North Shelterbelt region of China

Arid

DOI	10.1016/j.lurbplan.2021.104305
	Evaluation of the policy-driven ecological network in the Three-North Shelterbelt region of China
	Mu, Haowei; Li, Xuecao; Ma, Haijiao; Du, Xiaoping; Huang, Jianxi; Su, Wei; Yu, Zhen; Xu, Chen; Liu, Hualiang; Yin, Dongqin; Li, Baoguo
通讯作者	Li, XC (corresponding author), China Agr Univ, Collage Land Sci & Technol, Beijing 100083, Peoples R China.
来源期刊	LANDSCAPE AND URBAN PLANNING
ISSN	0169-2046
EISSN	1872-6062
出版年	2022
卷号	218
英文摘要	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 policydriven 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.
英文关键词	Corridors Remote sensing Biodiversity conservation Human footprint
类型	Article
语种	英语
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000728115700003
WOS关键词	LAND-USE ; SECURITY PATTERNS ; BIODIVERSITY ; VEGETATION ; CONSERVATION ; INFRASTRUCTURE ; CONNECTIVITY ; DEGRADATION ; INTENSITY ; DYNAMICS
WOS类目	Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies
WOS研究方向	Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374512
作者单位	[Mu, Haowei; Li, Xuecao; Huang, Jianxi; Su, Wei; Yin, Dongqin; Li, Baoguo] China Agr Univ, Collage Land Sci & Technol, Beijing 100083, Peoples R China; [Li, Xuecao; Huang, Jianxi; Su, Wei; Yin, Dongqin] Minist Agr & Rural Affairs, Key Lab Remote Sensing Agrihazards, Beijing 100083, Peoples R China; [Ma, Haijiao] Northwest Agr & Forestry Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China; [Du, Xiaoping; Xu, Chen] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China; [Yu, Zhen] Nanjing Univ Informat Sci & Technol, Inst Ecol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Jiangsu, Peoples R China; [Liu, Hualiang] Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China
推荐引用方式 GB/T 7714	Mu, Haowei,Li, Xuecao,Ma, Haijiao,et al. Evaluation of the policy-driven ecological network in the Three-North Shelterbelt region of China[J],2022,218.
APA	Mu, Haowei.,Li, Xuecao.,Ma, Haijiao.,Du, Xiaoping.,Huang, Jianxi.,...&Li, Baoguo.(2022).Evaluation of the policy-driven ecological network in the Three-North Shelterbelt region of China.LANDSCAPE AND URBAN PLANNING,218.
MLA	Mu, Haowei,et al."Evaluation of the policy-driven ecological network in the Three-North Shelterbelt region of China".LANDSCAPE AND URBAN PLANNING 218(2022).