Article (Scientific journals)
Linking ecosystem services and circuit theory to identify ecological security patterns
Peng, J.; Yang, Y.; Liu, Y. et al.
2018In Science of the Total Environment, 644, p. 781-790
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Keywords :
Circuit theory; Ecological corridors; Ecological security patterns; Ecosystem services; Pinch-points; Yunnan Province, China; Forestry; Location based services; Sustainable development; Timing circuits; Ecological security; Pinch points; Yunnan province; Ecosystems; Article; China; Yunnan
Abstract :
[en] The rapid process of urbanization, accompanied by the sharp increase of urban population and expansion of artificial surface, has resulted in the loss of natural ecosystems and the degradation of ecosystem services. Identifying and protecting key places that have high importance for ecological sustainability are great challenges. Ecological security patterns are such an integrated approach to protecting regional ecological sustainability. In this study, taking Yunnan Province, China as a case study area, ecological sources were identified through ecosystem services, and circuit theory was used to model ecosystem processes in heterogeneous landscapes via calculating the ‘resistance’ or ‘current’ and thus to identify ecological corridors and key ecological nodes. The results showed that, ecological security patterns included 66 ecological sources, 186 ecological corridors, 24 pinch-points and 10 barriers. In details, the ecological sources were mainly distributed in the southwest and northwest of Yunnan Province, with the ecological corridors locating along the high mountains, and both ecological sources and corridors were mostly covered with forest land. Pinch-points covered by forest land and cultivated land, were distributed in the middle of Yunnan Province along the rivers. Approximately 75.9% nature reserves were located in the identified ecological sources, and the remainings were mainly distributed in eastern Yunnan Province with small area, showing the effectiveness in identifying ecological security patterns. Among 81 projects of low–slope hill development carried out in Yunnan Province, 46.9% showed potential human stress on regional ecological security. Based on ecosystem services and circuit theory, this study provides a new approach to identifying the spatial range of ecological corridors and the specific location of key nodes for effective ecological conservation and restoration. © 2018 Elsevier B.V.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Peng, J.;  Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China, Key Laboratory for Environmental and Urban Sciences, School of Urban Planning & Design, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
Yang, Y.;  Key Laboratory for Environmental and Urban Sciences, School of Urban Planning & Design, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
Liu, Y.;  Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
Hu, Y.;  Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
Du, Y.;  Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
Meersmans, Jeroen ;  Université de Liège - ULiège > Département GxABT > Analyse des risques environnementaux
Qiu, S.;  Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
Language :
English
Title :
Linking ecosystem services and circuit theory to identify ecological security patterns
Publication date :
2018
Journal title :
Science of the Total Environment
ISSN :
0048-9697
eISSN :
1879-1026
Publisher :
Elsevier B.V.
Volume :
644
Pages :
781-790
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
NSCF - National Natural Science Foundation of China [CN]
Funding number :
National Natural Science Foundation of China, NSFC: 41271195; Higher Education Discipline Innovation Project: B14001
Funding text :
This research was financially supported by the National Natural Science Foundation of China (41271195) and the 111 Project (B14001).
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