Ecosystem-sensitive spatial dataset for Chongqing


The data set: with the help of RS and GIS technology, based on the existing research results, combined with the natural, social and economic conditions of the Three Gorges Reservoir Area (Chongqing section), and with reference to the Provisional Regulations on Ecological Function Zoning Technology (1) issued by the Ministry of Environmental Protection of the People's Republic of China, four ecological environment elements, namely, soil erosion, rock desertification, habitat and acid rain, were selected to establish sensitivity evaluation models and methods, The ecological environment sensitivity of the Three Gorges Reservoir Area (Chongqing Section) was comprehensively studied to quantitatively reveal the ecological environment sensitivity and its spatial distribution law in the study area. The spatial resolution of this dataset is 25m * 25m. The specific inversion method refers to the literature "Comprehensive evaluation of ecological and environmental sensitivity of Chongqing section of the Three Gorges Reservoir Area (Journal of Geography)".


File naming and required software

The data set consists of one folder, which includes four ecological environment elements (soil erosion, rocky desertification, habitat and acid rain) and a total of five sensitivity spatial evaluation results of ecosystem comprehensive sensitivity. The folder naming rule is Chinese name, and the file naming rule is "sensitivity type. tif".


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Liu, C., Li, Y. (2022). Ecosystem-sensitive spatial dataset for Chongqing. Upper Yangtze River Scientific Data Center, (Download the reference:

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 107.01 West: 106.24
South: 29.12 North: 30.13
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 2,860 MB
  • Views: 614
  • Downloads: 0
  • Access: Requestable
  • Updated time: 2022-10-17
Contacts
: LIU Chunxia    LI Yuechen   

Distributor: 重庆金佛山喀斯特生态系统国家野外科学观测研究站数据中心

Email: data@westdc.cn

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