2022
DOI: 10.3390/su141710823
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Spatio-Temporal Evolution and Driving Factors of Ecosystem Service Value of Urban Agglomeration in Central Yunnan

Abstract: Urbanization and human activity have recently resulted in land use/cover change (LUCC), which has had a detrimental effect on the biological environment, on keeping the ecosystem’s sustainable growth and on comprehending the ecosystem’s quality and changes over the past 20 years in the central Yunnan urban agglomeration. The equivalent factor method and hotspot analysis were used to analyze the spatio-temporal changes in land use and ecosystem service value (ESV) in the urban agglomerations of central Yunnan p… Show more

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Cited by 14 publications
(10 citation statements)
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“…The above data are from the Chinese Academy of Sciences Resource and Environmental Science Data Center ( http://www.resdc.cn/ ) and the Geographic Remote Sensing Ecology Network ( http://www.gisrs.cn ). The Normalized Difference Vegetation Index (NDVI) data was extracted from remote sensing images of Geospatial Data Cloud ( http://www.gscloud.cn/ ), the slope data was extracted from DEM, the land use degree and human impact index factors were calculated with reference to relevant literature ( Zhuang and Liu, 1997 ; Yang and Liu, 2022 ), The socio-economic statistics mainly come from the statistical yearbook and the farmer questionnaire survey. The farmers’ data come from interviews and retrospective questionnaire surveys (including village cadres and villagers) in the villages of Jinzhai County in November 2020 and August 2021.…”
Section: Methodsmentioning
confidence: 99%
“…The above data are from the Chinese Academy of Sciences Resource and Environmental Science Data Center ( http://www.resdc.cn/ ) and the Geographic Remote Sensing Ecology Network ( http://www.gisrs.cn ). The Normalized Difference Vegetation Index (NDVI) data was extracted from remote sensing images of Geospatial Data Cloud ( http://www.gscloud.cn/ ), the slope data was extracted from DEM, the land use degree and human impact index factors were calculated with reference to relevant literature ( Zhuang and Liu, 1997 ; Yang and Liu, 2022 ), The socio-economic statistics mainly come from the statistical yearbook and the farmer questionnaire survey. The farmers’ data come from interviews and retrospective questionnaire surveys (including village cadres and villagers) in the villages of Jinzhai County in November 2020 and August 2021.…”
Section: Methodsmentioning
confidence: 99%
“…Yuxi concentrates the ecologically sensitive areas of three lakes and one sea, and assumes important ecosystem service functions. Consequently, future efforts should strictly adhere to regulations aimed at safeguarding these sensitive areas, such as Fuxian Lake, Xingyun Lake, Qilu Lake, and Yangzong Sea [32]. These regulations should prohibit the placement of highly polluting industrial enterprises within the watershed and impose strict limits on Anning City and the construction of new industrial parks.…”
Section: Status Of Development Of Coupling In Composite Ecosystemsmentioning
confidence: 99%
“…Based on the above findings, it is evident that land use changes and ecosystem service value changes in Qiqihar have a very strong correlation during the study time period, and the drivers affecting land use structure changes in Qiqihar indirectly affect the ESV in Qiqihar. Taken together, economic development, population growth, natural environment, and policy factors are important drivers of ESV change Yang and Liu, 2022;Haque et al, 2023). ①The economic level and urbanization rate have increased significantly (Li D et al, 2022), and the demand for construction land in Qiqihar has increased, and the area of ecological land such as woodland, grassland and water area has been shrinking, resulting in an increase in land use intensity and unreasonable utilization structure, which have certain impacts on the ES such as raw material production, hydrological regulation and soil conservation in the ecosystem.…”
Section: Esv Analysis Of Gains and Lossesmentioning
confidence: 99%