Other Data Paper Zone II Versions ZH1 Vol 6 (3) 2021
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A dataset of ecosystem services evaluation of Yanqing
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: 2021 - 07 - 15
: 2021 - 08 - 23
: 2021 - 07 - 23
: 2021 - 09 - 27
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Abstract & Keywords
Abstract: Yanqing plays an important role in ecological conservation in Beijing. The objective and scientific quantitative evaluation of its ecosystem services can provide scientific guidance and support for local land use planning and ecological management. Based on the production function principle of carbon storage, water supply and soil conservation sub-model in InVEST model, 19 types of multi-source data were collected, including remote sensing data, climate data, land use data, soil data and agricultural professional data in Yanqing District from 2004 to 2014.The raw data is from China Geospatial Data Cloud and other professional data centers, and processed through remote sensing image interpretation, unsupervised classification, spatial statistical analysis, etc. The dataset contains a variety of data, some of which is innovative. It not only covers most of the key index data in the field of ecological environment and resources, but also can be used as basic science data to provide the foundation and additional support for the future research in Yanqing District.
Keywords: ecosystem services; InVEST model; Yanqing
Dataset Profile
TitleA dataset of ecosystem services evaluation of Yanqing based on InVEST model
Data corresponding authorLIU Tingting (liutingting@caas.cn)
Data authorsLI Min
Time range2004 – 2014
Geographical scopeYangqing Distinct, Beijing, 40°16′–40°47′59N, 115°44′-116°34′E
Spatial resolution30 m (Spatial grid data)
Data volume60.8 MB (After compressed)
Data format.shp, .tif, .xlsx
Data service system<http://dx.doi.org/10.12205/A0007.20210616.00.ds.0386>
Sources of fundingInnovation Project of Chinese Academy of Agricultural Sciences (2021CX034)
Dataset compositionThe dataset consists of 19 types of multi-source data (such as remote sensing data, climate data, land data, soil data, and agricultural data), including 12 types of spatial grid data (tiff), such as land use and cover map, annual rainfall, air temperature, potential evapotranspiration, soil depth of root restraint layer, plant available water content (PAWC), DEM data, rainfall erosivity factor R, soil erodibility factor K, carbon storage, water supply and soil conservation; 1 type of space vector data (shp): catchment shp; 6 types of data sheets (excel): land use and cover change, carbon density values of four carbon pools in different regions, maximum root depth, evapotranspiration coefficient, vegetation cover and management factor C, soil conservation measures factor P.
Article and author information
LI Min
主要承担工作:数据采集和数据论文撰写。
LIU Tingting
主要承担工作:数据整理。
liutingting@caas.cn
FAN Jingchao
主要承担工作:数据整理。
SUN Wei
主要承担工作:数据分析。
CAO Shanshan
主要承担工作:数据分析。
MAN Rui
主要承担工作:数据整理。
GAO Fei
主要承担工作:数据整理。
中国农业科学院创新工程(2021CX034) Innovation Project of Chinese Academy of Agricultural Sciences (2021CX034)
Publication records
Published: Sept. 27, 2021 ( VersionsZH1
References
中国科学数据
csdata