Accurate measurement of urban sprawl is vital for urban planning and management.Urban planning-induced internal structure complexity affects the extent of urban sprawl.In addition,urban sprawl is closely linked to eco...Accurate measurement of urban sprawl is vital for urban planning and management.Urban planning-induced internal structure complexity affects the extent of urban sprawl.In addition,urban sprawl is closely linked to economic development.The study attempts to explore the impact of urban sprawl from an economic-dominated perspective.Thus a City-Ring road-County(CRC)scale framework based on top-down administrative divisions for urban sprawl measurement is proposed:1)the single-index measurement based on economic activity is applied to calculate urban sprawl;2)the spatiotemporal pattern of urban sprawl is investigated through a case study in 31 economy-dominated provincial capital cities across China from 2005 to 2015;3)the impact of economy and land on urban sprawl is explored using correlation analysis.The results indicate that the degree of urban sprawl at the city scale shows an“inverted U-shaped”curve from 2005 to 2015,which represents that the phenomenon of urban sprawl was most severe in 2010.It finds that urban sprawl was more severe in the east and central regions relative to the provincial capitals in the western region,with the situation being most severe in the northeast region.Regions that have been transformed from suburban to urban built-up areas need to be given priority attention by the local government,including population movement,land layout,and fiscal policy,to meet the criteria of the urbanization process.Through correlation analysis,we also found that urban sprawl was influenced by the industry structure and the form of built-up area.The outcome of the study suggests that the data scale is sufficiently small in granularity to provide geographic boundaries for systematic analysis of urban sprawl in multiple administrative regions.Thus,the study helps provide a reference for differential planning policy formulation by governments at diverse economic levels.展开更多
Ecosystem services values(ESV)are increasingly affected by land use land cover change(LULCC)in Côte d’Ivoire.However,there is a scarcity of studies to understand the current state of the ecological environment a...Ecosystem services values(ESV)are increasingly affected by land use land cover change(LULCC)in Côte d’Ivoire.However,there is a scarcity of studies to understand the current state of the ecological environment and the factors that influence the change of ESV in Côte d’Ivoire.This study aimed to quantify LULCC and the ESV change in Côte d’Ivoire from 1990 to 2040.The method-ology used in this study is based on evaluating the change in land use and ESV from 1990 to 2020 and predicting the land cover in 2040 with a cellular au-tomata(CA)based PLUS model.Our results demonstrated that vegetation cover is predicted to decrease by 0.370%per year from 2020 to 2040.Culti-vated land is predicted to increase by 0.013%per year from 2020 to 2040.From 2020 to 2040,hotspots of ESV changes are predicted to mainly appear in the Tchologo and Hambol regions.Our results demonstrated that ecosystem management should be made to control cultivated land expansion and protect wetland,and forestland for more sustainable ecosystem services.Ecosystem management to mitigate vegetation loss is necessary to help decisions mak-ers to manage land use,facilitate land use expansion and protect the eco-system.展开更多
Land use projections are crucial for climate models to forecast the impacts of land use changes on the Earth’s system.However,the spatial resolution of existing global land use projections(e.g.,0.25°×0.25&#...Land use projections are crucial for climate models to forecast the impacts of land use changes on the Earth’s system.However,the spatial resolution of existing global land use projections(e.g.,0.25°×0.25°in the Land-Use Harmonization(LUH2)datasets)is still too coarse to drive regional climate models and assess mitigation effectiveness at regional and local scales.To generate a high-resolution land use product with the newest integrated scenarios of the shared socioeconomic pathways and the representative concentration pathways(SSPs-RCPs)for various regional climate studies in China,here we first conduct land use simulations with a newly developed Future Land Uses Simulation(FLUS)model based on the trajectories of land use demands extracted from the LUH2 datasets.On this basis,a new set of land use projections under the plant functional type(PFT)classification,with a temporal resolution of 5 years and a spatial resolution of 5 km,in eight SSP-RCP scenarios from 2015 to 2100 in China is produced.The results show that differences in land use dynamics under different SSP-RCP scenarios are jointly affected by global assumptions and national policies.Furthermore,with improved spatial resolution,the data produced in this study can sufficiently describe the details of land use distribution and better capture the spatial heterogeneity of different land use types at the regional scale.We highlight that these new land use projections at the PFT level have a strong potential for reducing uncertainty in the simulation of regional climate models with finer spatial resolutions.展开更多
基金supported by the National Natural Science Foundation of China[grant number 42271413]the Key Lab of Spatial Data Mining&Information Sharing of Ministry of Education[grant number 2022LSDMIS09]+1 种基金the National Natural Science Foundation of China[grant number 41971356]the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources[grant number KF-2022-07-001].
文摘Accurate measurement of urban sprawl is vital for urban planning and management.Urban planning-induced internal structure complexity affects the extent of urban sprawl.In addition,urban sprawl is closely linked to economic development.The study attempts to explore the impact of urban sprawl from an economic-dominated perspective.Thus a City-Ring road-County(CRC)scale framework based on top-down administrative divisions for urban sprawl measurement is proposed:1)the single-index measurement based on economic activity is applied to calculate urban sprawl;2)the spatiotemporal pattern of urban sprawl is investigated through a case study in 31 economy-dominated provincial capital cities across China from 2005 to 2015;3)the impact of economy and land on urban sprawl is explored using correlation analysis.The results indicate that the degree of urban sprawl at the city scale shows an“inverted U-shaped”curve from 2005 to 2015,which represents that the phenomenon of urban sprawl was most severe in 2010.It finds that urban sprawl was more severe in the east and central regions relative to the provincial capitals in the western region,with the situation being most severe in the northeast region.Regions that have been transformed from suburban to urban built-up areas need to be given priority attention by the local government,including population movement,land layout,and fiscal policy,to meet the criteria of the urbanization process.Through correlation analysis,we also found that urban sprawl was influenced by the industry structure and the form of built-up area.The outcome of the study suggests that the data scale is sufficiently small in granularity to provide geographic boundaries for systematic analysis of urban sprawl in multiple administrative regions.Thus,the study helps provide a reference for differential planning policy formulation by governments at diverse economic levels.
文摘Ecosystem services values(ESV)are increasingly affected by land use land cover change(LULCC)in Côte d’Ivoire.However,there is a scarcity of studies to understand the current state of the ecological environment and the factors that influence the change of ESV in Côte d’Ivoire.This study aimed to quantify LULCC and the ESV change in Côte d’Ivoire from 1990 to 2040.The method-ology used in this study is based on evaluating the change in land use and ESV from 1990 to 2020 and predicting the land cover in 2040 with a cellular au-tomata(CA)based PLUS model.Our results demonstrated that vegetation cover is predicted to decrease by 0.370%per year from 2020 to 2040.Culti-vated land is predicted to increase by 0.013%per year from 2020 to 2040.From 2020 to 2040,hotspots of ESV changes are predicted to mainly appear in the Tchologo and Hambol regions.Our results demonstrated that ecosystem management should be made to control cultivated land expansion and protect wetland,and forestland for more sustainable ecosystem services.Ecosystem management to mitigate vegetation loss is necessary to help decisions mak-ers to manage land use,facilitate land use expansion and protect the eco-system.
基金the National Key Research&Development Program of China(2019YFA0607203,2017YFA0604404)the National Natural Science Foundation of China(41901327,41671398,41871318)+2 种基金the Guangdong Basic and Applied Basic Research Foundation(2019A1515010823)the Fundamental Research Funds for the Central Universities(19lgpy41)Natural Resources of the People’s Republic of China(GS(2020)2879)。
文摘Land use projections are crucial for climate models to forecast the impacts of land use changes on the Earth’s system.However,the spatial resolution of existing global land use projections(e.g.,0.25°×0.25°in the Land-Use Harmonization(LUH2)datasets)is still too coarse to drive regional climate models and assess mitigation effectiveness at regional and local scales.To generate a high-resolution land use product with the newest integrated scenarios of the shared socioeconomic pathways and the representative concentration pathways(SSPs-RCPs)for various regional climate studies in China,here we first conduct land use simulations with a newly developed Future Land Uses Simulation(FLUS)model based on the trajectories of land use demands extracted from the LUH2 datasets.On this basis,a new set of land use projections under the plant functional type(PFT)classification,with a temporal resolution of 5 years and a spatial resolution of 5 km,in eight SSP-RCP scenarios from 2015 to 2100 in China is produced.The results show that differences in land use dynamics under different SSP-RCP scenarios are jointly affected by global assumptions and national policies.Furthermore,with improved spatial resolution,the data produced in this study can sufficiently describe the details of land use distribution and better capture the spatial heterogeneity of different land use types at the regional scale.We highlight that these new land use projections at the PFT level have a strong potential for reducing uncertainty in the simulation of regional climate models with finer spatial resolutions.
