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首页> 外文期刊>Stochastic environmental research and risk assessment >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
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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

机译: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

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摘要

Abstract 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.

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