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Data Details

Dataset of Vegetation Resilience in the Three Gorges Reservoir Area (2000-2018)

ZHANG Liangliang1 ZHANG Liangliang2,3 LI Xiaolei*2,3 GAO Peichao*4
1 School of Geography and Planning,Chengdu University of Technology,Chengdu 610059,China2 China Institute of Geological Environment Monitoring,China Geological Survey,Beijing 100081,China3 Key Laboratory of Mine Ecological Effects and Systematic Restoration,Ministry of Natural Resources,Beijing 100081,China4 Faculty of Geographic Sciences,Beijing Normal University,Beijing 100871,China


Published:Apr. 2024

Visitors:644       Data Files Downloaded:13      
Data Downloaded:39.79 MB      Citations:

Key Words:

vegetation resilience,remote sensing,Leaf Area Index,Critical Slowing Down,Three Gorges Reservoir Area


The dataset of vegetation resilience in the Three Gorges Reservoir Area (2000-2018) was developed based on GLASS LAI, GlobeLand 30, DEM, and data on geological disaster, integrated with critical moderating model. The dataset includes the following data in the Three Gorges Reservoir Area from 2000 to 2018: (1) 500 m raster data of average GLASS LAI; (2) average GLASS LAI in each county; (3) change rate of GLASS LAI in each county; (4) KPSS test results of LAI residuals; (5) average time autocorrelation in each county; (6) land use area and proportion in each county; (7) comparison data of Case Model and Critical Slowing Down Model. The dataset is archived in .shp, .tif and .xlsx, formats, and consists of 14 data files with data size of 8.39 MB (Compressed to 1 file with 3.06 MB). The analysis paper based on the dataset was published in Acta Ecologica Sinica, Vol. 43, No. 12, 2023.

Foundation Item:

National Natural Science Foundation of China (42101407)

Data Citation:

ZHANG Liangliang, ZHANG Liangliang, LI Xiaolei*, GAO Peichao*. Dataset of Vegetation Resilience in the Three Gorges Reservoir Area (2000-2018)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024.


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     [2] Ma, J., Li, C. X., Wei, H., et al. Ecological vulnerability assessment in the Three Gorges Reservoir area [J]. Acta Ecologica Sinica, 2015, 35(21): 7117-7129.
     [3] Lu, G., Xu, G. F., Liu, L. Q., et al. Research progress of vegetation restoration in reservoir fluctuation zone in China [J]. Zhejiang Forestry Science and Technology, 2016, 36(1): 72-80.
     [4] Song, Z., Liang, S. L., Feng, L., et al. Temperature changes in Three Gorges Reservoir Area and linkage with Three Gorges Project [J]. Journal of Geophysical Research: Atmospheres, 2017, 122(9).
     [5] Xu, X. B., Tan, Y., Yang, G. S. Environmental impact assessments of the Three Gorges Project in China: Issues and interventions [J]. Earth-Science Reviews, 2013, 124.
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     [7] Veraart, A. J., Faassen, E. J., Dakos, V., et al. Recovery rates reflect distance to a tipping point in a living system [J]. Nature, 2011, 481: 7381.
     [8] Hu, Z. M., Guo, Q., Li, S. S., et al. Shifts in the dynamics of productivity signal ecosystem state transitions at the biome-scale [J]. Ecology letters, 2018, 21(10).
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     [11] Wu, J. H., Zhang, L. L., Zhao, B. K., et al. Remote sensing assessing of vegetation and its resilience based on critical slowing down model and CLASS LAI: A case study in the Three Gorges Reservoir Area. [J]. Acta Ecologica Sinica, 2023, 43(12): 5084-5095.
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     [13] Xiao, Z. Q., Liang, S. L., Wang, J. D., et al. Use of general regression neural networks for generating the GLASS Leaf Area Index product from time-series MODIS surface reflectance [J]. IEEE Trans Geoscience and Remote Sensing, 2014, 52(1).
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Data Product:

ID Data Name Data Size Operation
1 VegResilienceThreeGorgesRes.rar 3134.52KB