Dataset of future land resources exploitation risk in Central Asia (V1.0, 2030s-2050s)

Dataset of future land resources exploitation risk in Central Asia (V1.0, 2030s-2050s)


Facing the sustainable development of agriculture in the Central Asia, the risk assessment of land resources exploitation under the influence of future climate change and land use change is carried out with the goal of cultivated land. The evaluation indices of land resources exploitation risk for farmland include topographic factors (such as elevation and slope), land use type, soil texture, precipitation, GDP per capita, grain production per capita, growth rate of agricultural economy, urbanization rate, natural growth rate of population, soil organic matter content, etc. Taking 2015 as the baseline and keeping other indicators remain unchanged, we use multi-model ensemble mean precipitation of climate models in CMIP6 (BBC-CSM2-MR, CanESM5, IPSL-CM6A-LR, MIROC6 and MRI-ESM2-0) and the land cover data under different emission scenarios in the future to estimate the risk of land resources exploitation in Central Asia under different scenarios in the future (SSP1-2.6, SSP2-4.5 and SSP5-8.5). The datasets include land resources exploitation in 2030s (2021-2040) and 2050s (2041-2060) under three future scenarios, with a spatial resolution of 0.5°×0.5°. It is expected to provide basic information for future agricultural production and land resources exploitation in five countries in Central Asia.


File naming and required software

File naming: the file is stored in GeoTIFF format. The name of the file is "sspddd_xxxxs", in which DDD represents the number of SSP scenario and xxxxs represents the age. For example, ssp126_2030s represents the land use risk in 2030 under ssp126 scenario.
Data reading method: you can use ArcMap to open, view and analyze.


Data Citations Data citation guideline What's data citation?
Cite as:

Huang, F., Li, L. (2022). Dataset of future land resources exploitation risk in Central Asia (V1.0, 2030s-2050s). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272674. CSTR: 18406.11.HumanNat.tpdc.272674. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


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


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Keywords
Geographic coverage
East: 88.00 West: 46.00
South: 35.00 North: 56.00
Details
  • Temporal resolution: 1 year < x < 10 year
  • Spatial resolution: 0.25º - 0.5º
  • File size: 0.38 MB
  • Views: 530
  • Downloads: 135
  • Access: Open Access
  • Temporal coverage: 2021-01-01 To 2060-12-31
  • Updated time: 2022-06-27
Contacts
: HUANG Farong   LI Lanhai  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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