As a very important part of the urban ecosystem,the urban green space system plays an active role in maintaining the urban ecosystem stability,providing ecosystem services,and improving the quality of the urban enviro...As a very important part of the urban ecosystem,the urban green space system plays an active role in maintaining the urban ecosystem stability,providing ecosystem services,and improving the quality of the urban environment.In order to deal with the problems brought about by the deterioration of the urban ecological environment,it is necessary to study and analyze the spatial distribution pattern,evolutionary characteristics and ecosystem services of urban green space to maximize its ecological benefits and comprehensive functions.In this study,we took Beijing urban area as an example,and based on the spatial distribution data of urban green space and remote sensing data,we first calculated the urban green space type transition matrix,landscape pattern index and ecosystem services.Then,we analyzed the changes in urban green space landscape patterns,ecosystem services and their spatial distributions from 2000 to 2020,and studied the interactive relationships between landscape changes and changes in ecosystem services.The results showed three key findings.(1)Beijing’s urban green space construction has achieved remarkable results from 2000 to 2020.The area of green space has increased by 77.41%,mainly from cultivated land and construction land.(2)From 2000 to 2020,the amounts of dust retention,SO_(2) absorption,NO_(2) absorption,cooling and humidification,carbon fixation and oxygen release,and rainwater runoff reduction in Beijing’s urban green space have shown continuous increases in general.(3)There is a close relationship between urban green space landscape changes and green space ecosystem services,and total area(TA)has the highest correlation with ecosystem services.Except for rainwater runoff reduction,the correlation coefficients between TA and ecosystem services are all higher than 0.85.This research can provide theoretical guidance for optimizing Beijing’s green space and determining how to maximize the effect of green space for improving the ecological environment,and ultimately provide a scientific basis for the construction of Beijing’s ecological environment.展开更多
Inner Mongolia is the important ecological barrier zone in northern China,which plays an important role in the prevention and control of wind in the regional ecosystem.Based on the Revised Wind Erosion Equation(RWEQ)m...Inner Mongolia is the important ecological barrier zone in northern China,which plays an important role in the prevention and control of wind in the regional ecosystem.Based on the Revised Wind Erosion Equation(RWEQ)model and the cost-recovery method,this study simulated the wind erosion prevention service(WEPS)in Inner Mongolia in 2010 and 2015,investigated the spatial pattern of material and monetary value of WEPS,and analyzed the differences among various cities and various ecosystems.The results indicated that the total WEPS of Inner Mongolia was estimated to be 73.87×10^(8) t in 2015,which was 4.61×10^(8) t less than in 2010,while the monetary value of WEPS was calculated to be 738.66×10^(8) yuan in 2015,which was 46.16×10^(8) yuan less than in 2010.Among all the leagues and cities,Xilin Gol League supported the highest WEPS,reaching 18.65×10^(8) t in 2015,while Wuhai provided the lowest.The WEPS of Hulunbeier increased the most,by 4.37×10^(8) t from 2010 to 2015.The WEPS in the grassland ecosystem was the highest among the different ecosystems,accounting for more than55%of the total WEPS in Inner Mongolia,but it was reduced by 1.05×10^(8) t during the same period.The WEPS in the forest ecosystem increased the most,reaching 0.19×10^(8) t.This study found that the implementation of projects such as returning farmland to forests and grasses and sand control effectively increased the WEPS by increasing the forest area.However,unsuitable land use increased the desertification of ecosystems which resulted in a reduction of WEPS in Inner Mongolia.展开更多
基金The National Natural Science Foundation of China(41971272)The Guangxi Science and Technology Major Project(AA20161002-3)The Strategic Priority Research Program of Chinese Academy of Sciences(XDA20020402)。
文摘As a very important part of the urban ecosystem,the urban green space system plays an active role in maintaining the urban ecosystem stability,providing ecosystem services,and improving the quality of the urban environment.In order to deal with the problems brought about by the deterioration of the urban ecological environment,it is necessary to study and analyze the spatial distribution pattern,evolutionary characteristics and ecosystem services of urban green space to maximize its ecological benefits and comprehensive functions.In this study,we took Beijing urban area as an example,and based on the spatial distribution data of urban green space and remote sensing data,we first calculated the urban green space type transition matrix,landscape pattern index and ecosystem services.Then,we analyzed the changes in urban green space landscape patterns,ecosystem services and their spatial distributions from 2000 to 2020,and studied the interactive relationships between landscape changes and changes in ecosystem services.The results showed three key findings.(1)Beijing’s urban green space construction has achieved remarkable results from 2000 to 2020.The area of green space has increased by 77.41%,mainly from cultivated land and construction land.(2)From 2000 to 2020,the amounts of dust retention,SO_(2) absorption,NO_(2) absorption,cooling and humidification,carbon fixation and oxygen release,and rainwater runoff reduction in Beijing’s urban green space have shown continuous increases in general.(3)There is a close relationship between urban green space landscape changes and green space ecosystem services,and total area(TA)has the highest correlation with ecosystem services.Except for rainwater runoff reduction,the correlation coefficients between TA and ecosystem services are all higher than 0.85.This research can provide theoretical guidance for optimizing Beijing’s green space and determining how to maximize the effect of green space for improving the ecological environment,and ultimately provide a scientific basis for the construction of Beijing’s ecological environment.
基金The Strategic Priority Research Program of Chinese Academy of Sciences(XDA20020402)The National Natural Science Foundation of China(41971272)。
文摘Inner Mongolia is the important ecological barrier zone in northern China,which plays an important role in the prevention and control of wind in the regional ecosystem.Based on the Revised Wind Erosion Equation(RWEQ)model and the cost-recovery method,this study simulated the wind erosion prevention service(WEPS)in Inner Mongolia in 2010 and 2015,investigated the spatial pattern of material and monetary value of WEPS,and analyzed the differences among various cities and various ecosystems.The results indicated that the total WEPS of Inner Mongolia was estimated to be 73.87×10^(8) t in 2015,which was 4.61×10^(8) t less than in 2010,while the monetary value of WEPS was calculated to be 738.66×10^(8) yuan in 2015,which was 46.16×10^(8) yuan less than in 2010.Among all the leagues and cities,Xilin Gol League supported the highest WEPS,reaching 18.65×10^(8) t in 2015,while Wuhai provided the lowest.The WEPS of Hulunbeier increased the most,by 4.37×10^(8) t from 2010 to 2015.The WEPS in the grassland ecosystem was the highest among the different ecosystems,accounting for more than55%of the total WEPS in Inner Mongolia,but it was reduced by 1.05×10^(8) t during the same period.The WEPS in the forest ecosystem increased the most,reaching 0.19×10^(8) t.This study found that the implementation of projects such as returning farmland to forests and grasses and sand control effectively increased the WEPS by increasing the forest area.However,unsuitable land use increased the desertification of ecosystems which resulted in a reduction of WEPS in Inner Mongolia.
基金The Guangxi Science and Technology Major Project (AA20161002-3)The National Natural Science Foundation of China (41971272)The Strategic Priority Research Program of Chinese Academy of Sciences (XDA20020402)。
