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Evolution Simulation and Driving Factors of Eco-spatial Carbon Sinks in Beibu Gulf Urban Agglomeration Based on FLUS-InVEST Model
[Objective] The impact of future changes in the ecological space of urban agglomerations in the bay area on carbon sinks were analyzed, and the driving factors behind the changes were identified in order to provide a reference for future ecological space development direction and strategies for urban agglomeration, and promote scientific development of new land-sea corridors. [Methods] The GeoSOS-FLUS model was used to predict the ecological space land use pattern of the Beibu Gulf urban agglomeration in 2035 under three different scenarios (ecological priority, agricultural priority, and urban priority) based on land use data in 2010, 2015, and 2020. Changes in the spatial distribution of ecological carbon storage between 2020 and 2035 were analyzed using the InVEST model. Geographic weighted regression was used to identify the main drivers of change affecting land carbon sinks. [Results] Carbon storage in the Beibu Gulf urban agglomeration increased under the ecological priority orientation from 2020 to 2035. Carbon storage decreased more under the urban priority, reaching 3.12×106 tonnes. Slope, population, and elevation were the most important factors influencing the eco-spatial carbon sink pattern of the urban agglomeration, and the spatial expansion of towns was the main cause of changes. Ecological space will increase under the ecological priority scenario. [Conclusion] Ecological priority orientation can balance the needs of urban development and ecological space protection, while urban development priority and agricultural priority orientations can significantly reduce carbon sinks. In addition, policy measures need to be developed as soon as possible to curb urban spatial expansion.
Evolution Simulation and Driving Factors of Eco-spatial Carbon Sinks in Beibu Gulf Urban Agglomeration Based on FLUS-InVEST Model
[Objective] The impact of future changes in the ecological space of urban agglomerations in the bay area on carbon sinks were analyzed, and the driving factors behind the changes were identified in order to provide a reference for future ecological space development direction and strategies for urban agglomeration, and promote scientific development of new land-sea corridors. [Methods] The GeoSOS-FLUS model was used to predict the ecological space land use pattern of the Beibu Gulf urban agglomeration in 2035 under three different scenarios (ecological priority, agricultural priority, and urban priority) based on land use data in 2010, 2015, and 2020. Changes in the spatial distribution of ecological carbon storage between 2020 and 2035 were analyzed using the InVEST model. Geographic weighted regression was used to identify the main drivers of change affecting land carbon sinks. [Results] Carbon storage in the Beibu Gulf urban agglomeration increased under the ecological priority orientation from 2020 to 2035. Carbon storage decreased more under the urban priority, reaching 3.12×106 tonnes. Slope, population, and elevation were the most important factors influencing the eco-spatial carbon sink pattern of the urban agglomeration, and the spatial expansion of towns was the main cause of changes. Ecological space will increase under the ecological priority scenario. [Conclusion] Ecological priority orientation can balance the needs of urban development and ecological space protection, while urban development priority and agricultural priority orientations can significantly reduce carbon sinks. In addition, policy measures need to be developed as soon as possible to curb urban spatial expansion.
Evolution Simulation and Driving Factors of Eco-spatial Carbon Sinks in Beibu Gulf Urban Agglomeration Based on FLUS-InVEST Model
Zhao Yincheng (Autor:in) / Qin Menglin (Autor:in) / Pang Yayue (Autor:in) / Wang Zhengqiang (Autor:in) / Shi Qianqian (Autor:in)
2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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The Ecological Footprint and Allocation of Guangxi Beibu Gulf Urban Agglomeration
DOAJ | 2022
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