[1]Zhao Zulun,Luo Junhua,Li Wei,et al.Evolution of Ecosystem Service Value and Influencing Factors in Karst Mountainous Urban Agglomeration[J].Research of Soil and Water Conservation,2024,31(05):410-420.[doi:10.13869/j.cnki.rswc.2024.05.013]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 05
Page number:
410-420
Column:
Public date:
2024-08-10
- Title:
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Evolution of Ecosystem Service Value and Influencing Factors in Karst Mountainous Urban Agglomeration
- Author(s):
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Zhao Zulun, Luo Junhua, Li Wei, Huang Liang, Yin Linjiang, Lyu Sisi, Zhao Weiquan
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(Institute of Mountain Resource of Guizhou Province, Guizhou Academy of Science, Guiyang 550001, China)
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- Keywords:
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ecosystem service value; Markov-FLUS model; land use simulation; Geodetector; urban agglomeration of central Guizhou Province
- CLC:
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X826, P901
- DOI:
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10.13869/j.cnki.rswc.2024.05.013
- Abstract:
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[Objective]The aims of this study are to investigate the evolution of ecosystem service value(ESV)and its influencing factors urbanization in the Karst city cluster and to provide a scientific basis for regional eco-environmental protection, ecological function zoning, and ecological compensation decision-making. [Methods]Based on the land use data of urban agglomeration of central Guizhou Province from 2000 to 2020, 16 drivers were selected from natural and socio-economic perspectives, and a Markov-FLUS model was constructed to simulate the land use pattern in 2030 under the scenarios of natural development and ecological constraints. Then, the modified ESV coefficients were used to assess the spatial and temporal evolution of ESV and analyze the factors influencing the spatial differentiation of ESV using Geodetector. [Results](1)The artificial surface seriously encroached on cropland(53%), forest land(12%), and grassland(10%)from 2000 to 2020. Under the ecological constraint scenario, significant nature reserves were effectively protected, and the artificial surface increased by 55 500 hectares, with a slower growth rate.(2)The ESV as a whole showed a trend of rising and then falling, with regulating services(71.08%)>supporting services(23.59%)>cultural services(4.51%)>supplying services(0.82%). The value of ESV in 2030 under the natural development scenario was 59.211 billion yuan, and that was 58.906 billion yuan under the ecological constraint scenario.(3)The explanatory power of ESV spatial differentiation factors followed the order:area of districts and counties(0.79)>value-added of agriculture, forestry, animal husbandry and fishery(0.51)>value-added of primary industry(0.50)>GDP(0.41)>GDP per capita(0.30)>area of built-up area(0.09)>resident population(0.04). The area of districts and counties, value-added of agriculture, forestry, animal husbandry and fishery, and value-added of primary industry were significantly and positively correlated with ESV, and GDP was significantly and positively correlated with ESV. The area of districts and counties, value-added of agriculture, forestry, animal husbandry and fishery, and value-added of primary industry were significantly positively correlated with ESV, and GDP was significantly negatively correlated with ESV. [Conclusion]Regional ecosystem services are mainly regulating services, and water and woodland ecosystems have a more significant impact on the overall ESV, which is the center of gravity of regional environmental protection and ecological construction.