Fig 1.
Location map of the Three Gorges Reservoir Area.
This is a map of the geographic location of the Three Gorges Reservoir Area, including the administrative area of the Three Gorges Reservoir Area, altitude.
Table 1.
Remote sensing datasets of land use and driving factors.
Fig 2.
This figure illustrates the research flow of the article.
Table 2.
Cost matrix for land conversion simulation under different scenarios in the year 2030.
Table 3.
Domain weights for land simulation under different scenarios in the year 2030.
Table 4.
Measurement methods for ecosystem services.
Table 5.
Land area of various types in the TGRA from 1990 to 2020 (×108 m2).
Fig 3.
Water yield chart of the TGRA from 1990 to 2020.
Calculated by INVEST modeling for water conservation in the Three Gorges Reservoir Area, 1990–2020.
Fig 4.
Soil retention map of the TGRA from 1990 to 2020.
Calculated by INVEST modeling for Soil Retention in the Three Gorges Reservoir Area, 1990–2020.
Fig 5.
Carbon sequestration chart of the TGRA from 1990 to 2020.
Calculated by INVEST modeling for Carbon Sequestration in the Three Gorges Reservoir Area, 1990–2020.
Fig 6.
Habitat quality map of the TGRA from 1990 to 2020.
Calculated by INVEST modeling for Habitat Quality in the Three Gorges Reservoir Area, 1990–2020.
Fig 7.
Grain production chart of the TGRA from 1990 to 2020.
Calculated by NDVI for Grain Production in the Three Gorges Reservoir Area, 1990–2020.
Fig 8.
NPP map of the TGRA from 1990 to 2020.
Calculated by CASA modeling for NPP in the Three Gorges Reservoir Area, 1990–2020.
Fig 9.
Land use type simulation map for the TGRA in 2030 under different scenario settings.
Land use future simulation of the Three Gorges Reservoir area under different scenarios through the FLUS model.
Fig 10.
Water yield chart for the TGRA in 2030 under different scenarios.
Land use results from FLUS model simulations and INVEST model results for future Water yield.
Fig 11.
Soil retention chart for the TGRA in 2030 under different scenarios.
Land use results from FLUS model simulations and INVEST model results for future Soil retention.
Fig 12.
Carbon sequestration chart for the TGRA in 2030 under different scenarios.
Land use results from FLUS model simulations and INVEST model results for future Carbon sequestration.
Fig 13.
Habitat quality chart for the TGRA in 2030 under different scenarios.
Land use results from FLUS model simulations and INVEST model results for future Habitat quality.
Fig 14.
Spatial autocorrelation Moran scatter plot of carbon sequestration in the TGRA in 2030 under different scenarios.
Representation of the correlation between carbon sequestration under different scenarios by means of a moran scatter plot.
Fig 15.
Spatial autocorrelation Moran scatter plot of water yield in the TGRA in 2030 under different scenarios.
Representation of the correlation between Water yield under different scenarios by means of a moran scatter plot.
Fig 16.
Spatial autocorrelation Moran scatter plot of Habit quality in the TGRA in 2030 under different scenarios.
Representation of the correlation between Habit quality under different scenarios by means of a moran scatter plot.
Fig 17.
Spatial autocorrelation Moran scatter plot of soil retention in the TGRA in 2030 under different scenarios.
Representation of the correlation between Soil retention under different scenarios by means of a moran scatter plot.
Fig 18.
LISA map of carbon sequestration in the TGRA in 2030 under different scenarios.
Demonstrating the spatial correlation of Carbon sequestration measured under different future scenarios through LISA clustering.
Fig 19.
LISA map of water yield in the TGRA in 2030 under different scenarios.
Demonstrating the spatial correlation of Water yield measured under different future scenarios through LISA clustering.
Fig 20.
LISA map of Habit quality in the TGRA in 2030 under different scenarios.
Demonstrating the spatial correlation of c Habit quality measured under different future scenarios through LISA clustering.
Fig 21.
LISA map of soil retention in the TGRA in 2030 under different scenarios.
Demonstrating the spatial correlation of Soil retention measured under different future scenarios through LISA clustering.