Dynamic Simulation of Land Use and Habitat Quality Assessment in Baiyangdian Basin Using the SD-PLUS Coupled Model

被引:6
作者
Han, Zhen [1 ,2 ,3 ]
Li, Budong [1 ,2 ,3 ]
Han, Zepeng [4 ]
Wang, Shiyan [1 ,2 ,3 ]
Peng, Wenqi [1 ,2 ,3 ]
Liu, Xiaobo [1 ,2 ,3 ]
Benson, David [5 ]
机构
[1] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
[2] China Inst Water Resources & Hydropower Res, Dept Water Ecol & Environm, Beijing 100038, Peoples R China
[3] Key Lab Water Safety Beijing Tianjin Hebei Reg Min, Beijing 100038, Peoples R China
[4] CSD Water Serv, Beijing 100192, Peoples R China
[5] Univ Exeter, Environm & Sustainabil Inst, Penryn Campus, Penryn TR10 9FE, England
关键词
land use; scenario simulation; SD-PLUS coupling model; InVEST model; habitat quality; BYD Basin; AREA; PATTERNS; IMPACT;
D O I
10.3390/w16050678
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The physical foundation and environmental assurance provided by the regional habitat are crucial for the survival and sustainable development of organisms. Land use change, as a significant manifestation of human activity, is a crucial factor in habitat quality. An SD-PLUS coupled model was developed to simulate land use change in the Baiyangdian(BYD) Basin using data on land use, socio-economic factors, and the climatic environment from 2000 to 2020. The InVEST model was employed to assess the habitat quality of the basin from 2000 to 2050. The findings indicated the following: Between 2020 and 2050, the predominant land use changes across the three scenarios involve the conversion of farmland to construction land and grassland to woodland. The magnitude of these changes steadily declines over time. The magnitude of change in land use for all kinds was greater under SSP5 compared to SSP1 and SSP2. The movement of habitat quality grades primarily occurred from higher grades to lower grades. In 2050, the habitat quality is projected to improve compared to 2020 under three different scenarios. The highest improvement is expected in SSP5 with a 0.60% increase, followed by SSP2 with a 0.42% increase and SSP1 with the smallest increase of 0.23%.
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页数:17
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