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博士生王权,王海军的论文在STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT刊出
发布时间:2022-12-02 15:34:01     发布者:易真     浏览次数:

标题: Spatiotemporal simulation of land-use/land cover scenarios and impacts on the dynamics of vegetation net primary productivity in the Wuhan metropolitan area, Central China

作者: Wang, Q (Wang, Quan); Wang, HJ (Wang, Haijun)

来源出版物: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT DOI: 10.1007/s00477-022-02328-6 提前访问日期: NOV 2022

摘要: Rapid urbanization has produced many metropolitan areas in China, resulting in regional human-land-ecological environment contradiction phenomenon. In recent years, Chinese government has launched a series of new national ecological civilization construction and ecological protection projects. Monitoring the changes in land-use/land cove (LULC) and exploring its impact on net primary productivity (NPP) is a key hot issue to support sustainable development. This study took Wuhan metropolitan area as the research area to monitor the distribution and relationship between LULC and vegetation NPP changes is helpful to strengthen carbon balance and improve the quality of human settlements. The results showed that, from 2000 to 2020, land use types in the study area changed dramatically, mainly cultivated land, urban land, and other construction land. The vegetation NPP showed a continuous growth trend in time and space, with growth rate of 114.48%. With the passage of time, LULC spatial distribution had significant effects on NPP and chaotic urban sprawl has seriously affected NPP losses, while the ecological forest and grassland in remote areas can significantly increase NPP yield. This study also revealed the correlation between LULC and NPP, and opened up research approaches for land-use optimization and vegetation NPP based on different scenarios in the future. Our analysis not only contributes urban land-use planners, but also provides important insights into improving the competitiveness of green development among urban agglomeration systems.

作者关键词: NPP; Land-use; land cover changes; Spatiotemporal simulation; Wuhan metropolitan area; GIS

地址: [Wang, Quan; Wang, Haijun] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Wang, Quan; Wang, Haijun] Minist Nat Resources, Key Lab Monitoring Evaluat & Early Warning Terr S, Chongqing 401147, Peoples R China.

通讯作者地址: Wang, HJ (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

Wang, HJ (通讯作者)Minist Nat Resources, Key Lab Monitoring Evaluat & Early Warning Terr S, Chongqing 401147, Peoples R China.

电子邮件地址: excellent_wangquan@126.com; landgiswhj@163.com

影响因子:3.821

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