This data set is the spatial distribution of ecological carrying capacity of Qilian Mountain National Park in 2000, 2010 and 2018.
Considering the socio-economic status and ecological environment characteristics of the Qilian Mountain National Park, the evaluation index system of ecological carrying capacity is constructed from two dimensions of ecosystem support conditions (ecological support) and pressure factors (socio-economic pressure). A total of 16 evaluation indicators were selected, including annual average temperature, annual precipitation, elevation, slope, vegetation coverage, ratio of water area to wetland area, landscape fragmentation, net primary productivity of vegetation, biological abundance index, water conservation, water and soil conservation, total water consumption per unit area, pressure index of grassland carrying livestock, area ratio of cultivated land to construction land, social output value per unit area, and population density. The ecological carrying capacity of Qilian Mountain National Park in 2000, 2010 and 2018 was evaluated based on the fuzzy tomographic analysis, entropy method and fuzzy comprehensive evaluation model.
The data used mainly include meteorological data (temperature, precipitation and potential evapotranspiration), land use data, digital elevation, normalized vegetation index, leaf area index, soil data, vegetation type data, statistical yearbook data (water consumption data, GDP, population, livestock inventory), etc.
First, 16 evaluation indicators in 2000, 2010 and 2018 are calculated based on the basic data, such as InVEST model, CASA model, RUSLE model, pixel dichotomy, ordinary Kriging interpolation, etc. Secondly, after the indicators are standardized, the subjective weight and objective weight of the indicators are calculated by using the fuzzy analytic hierarchy process and entropy method, and the comprehensive weight of the indicators is determined by using the fuzzy comprehensive evaluation model. Finally, the ecological carrying capacity is calculated based on the index and its comprehensive weight.
In the process of processing, the calculated indexes were verified and the data quality was good.
| # | number | name | type |
| 1 | 2019YFC0507400 | National key R & D plan |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.ncdc.nieer.db2745.2023
10.12072/ncdc.nieer.db2745.2023
