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Landscape Ecological Risk Responses to Land Use Change in the Luanhe River Basin, China
Land use change has large effects on natural ecosystems, which is considered to be the main factor in eco-environment change. We analyzed the future characters of land use change by the CLUE-S model and explored landscape ecological risk responses to land use change by the landscape ecological risk index method. Using the Luanhe River Basin as a case study, we simulated future land use change from 2010 to 2030 under 3 scenarios (i.e., trend, high economic growth, and ecological security), and identified the hotspots of land use change. Afterward, we quantitatively investigated the degree of land use development and landscape ecological risk patterns that have occured since 2000 and that are expected to occur until 2030. Results revealed that, under the three scenarios, construction land and forest are expanding mainly at the expense of agriculture land and grassland. The hotspots of land use change are located in the vicinity of Shuangluan and Shuangqiao District of Chengde City in the midstream of the Luanhe River Basin, where urbanization has been strong since 2000 and is projected to continue that way until 2030. During this time period, hotspots of land use development have been gradually transferring from the downstream to the midstream since 2000 and, again, is expected to continue that way until 2030, which will impact the spatial distribution of landscape ecological risk. We found that the landscape ecological risk of the entire basin has shown a negative trend. However, a few areas still have serious ecological risk, which are mainly located in the east of upstream (Duolun County and Weichang County), the middle region (Shuangluan and Shuangqiao District, Chengde County, and Xinglong County), and the downstream (Qinglong County). These can provide key information for land use management, and for helping to prepare future eco-environmental policies in the Luanhe River Basin.
Landscape Ecological Risk Responses to Land Use Change in the Luanhe River Basin, China
Land use change has large effects on natural ecosystems, which is considered to be the main factor in eco-environment change. We analyzed the future characters of land use change by the CLUE-S model and explored landscape ecological risk responses to land use change by the landscape ecological risk index method. Using the Luanhe River Basin as a case study, we simulated future land use change from 2010 to 2030 under 3 scenarios (i.e., trend, high economic growth, and ecological security), and identified the hotspots of land use change. Afterward, we quantitatively investigated the degree of land use development and landscape ecological risk patterns that have occured since 2000 and that are expected to occur until 2030. Results revealed that, under the three scenarios, construction land and forest are expanding mainly at the expense of agriculture land and grassland. The hotspots of land use change are located in the vicinity of Shuangluan and Shuangqiao District of Chengde City in the midstream of the Luanhe River Basin, where urbanization has been strong since 2000 and is projected to continue that way until 2030. During this time period, hotspots of land use development have been gradually transferring from the downstream to the midstream since 2000 and, again, is expected to continue that way until 2030, which will impact the spatial distribution of landscape ecological risk. We found that the landscape ecological risk of the entire basin has shown a negative trend. However, a few areas still have serious ecological risk, which are mainly located in the east of upstream (Duolun County and Weichang County), the middle region (Shuangluan and Shuangqiao District, Chengde County, and Xinglong County), and the downstream (Qinglong County). These can provide key information for land use management, and for helping to prepare future eco-environmental policies in the Luanhe River Basin.
Landscape Ecological Risk Responses to Land Use Change in the Luanhe River Basin, China
Ying Li (author) / Suiliang Huang (author)
2015
Article (Journal)
Electronic Resource
Unknown
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