An Integrated Investigation of Spatiotemporal Habitat Quality Dynamics and Driving Forces in the Upper Basin of Miyun Reservoir, North China

Shengjun Yan, Xuan Wang, Yanpeng Cai, Chunhui Li, Rui Yan, Guannan Cui and Zhifeng Yang
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Shengjun Yan: State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
Xuan Wang: State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
Yanpeng Cai: State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
Chunhui Li: State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
Rui Yan: State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
Guannan Cui: Department of Environmental Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
Zhifeng Yang: State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China

Sustainability, 2018, vol. 10, issue 12, 1-17

Abstract: Understanding changes in habitat quality and the driving forces of these changes at landscape scales is a critical part of effective ecosystem management. The present study investigated spatiotemporal habitat quality dynamics and related driving forces from 2005 to 2015 in the upper basin of Miyun Reservoir in North China by constructing an effective framework integrated InVEST and binary logistic regression models. This framework expanded the driving force analysis into an assessment of changes in habitat quality and intuitively verified the effectiveness of relevant environmental policies. The proposed method of combining the equidistant random sampling method and the method of introducing spatial lag variables in logistic regression equation can effectively solve spatial autocorrelation with a large enough number of sampling points. Overall, habitat quality improved during the study period. Spatially, a concentrated loss of habitat occurred in the southeastern part of the basin between the reservoir and mountainous areas, while other areas gradually recovered. Driving force analysis showed that lower elevation mountain land, gentle slopes, locations near rural land or roads, larger areas of grain cultivation, and areas with little population change had a higher likelihood of having changed in habitat quality in the upper basin of Miyun Reservoir. These results suggested that the present policy of protecting the ecosystem had a positive effect on improving habitat quality. In the future, the human activity management related to habitat quality needs to be strengthened. The present study would provide a reference for land use policy formulation and biodiversity conservation.

Keywords: habitat quality; driving force; spatial autocorrelation; logistic regression; InVEST model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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