Dataset List

Vol.|Area

No.04 Vol.1,2026
No.03 Vol.1,2026
No.02 Vol.1,2026
No.01 Vol.1,2026
No.12 Vol.12,2025
No.11 Vol.12,2025
No.10 Vol.12,2025
No.09 Vol.12,2025
No.08 Vol.12,2025
No.07 Vol.12,2025
No.06 Vol.12,2025
No.05 Vol.12,2025
No.04 Vol.12,2025
No.03 Vol.12,2025
No.02 Vol.12,2025
No.01 Vol.12,2025
No.12 Vol.11,2024
No.11 Vol.11,2024
No.10 Vol.11,2024
No.09 Vol.11,2024
No.08 Vol.11,2024
No.07 Vol.11,2024
No.06 Vol.11,2024
No.05 Vol.11,2024
No.04 Vol.11,2024
No.03 Vol.11,2024
No.02 Vol.11,2024
No.01 Vol.11,2024
No.12 Vol.10,2023
No.11 Vol.10,2023
No.10 Vol.10,2023
No.09 Vol.10,2023
No.08 Vol.10,2023
No.07 Vol.10,2023
No.06 Vol.10,2023
No.05 Vol.10,2023
No.04 Vol.10,2023
No.03 Vol.10,2023
No.02 Vol.10,2023
No.01 Vol.10,2023
No.12 Vol.9,2022
No.11 Vol.9,2022
No.10 Vol.9,2022
No.09 Vol.9,2022
No.08 Vol.9,2022
No.07 Vol.9,2022
No.06 Vol.9,2022
No.05 Vol.9,2022
No.04 Vol.9,2022
No.03 Vol.9,2022
No.02 Vol.9,2022
No.01 Vol.9,2022
No.12 Vol.8,2021
No.11 Vol.8,2021
No.10 Vol.8,2021
No.09 Vol.8,2021
No.08 Vol.8,2021
No.07 Vol.8,2021
No.06 Vol.8,2021
No.05 Vol.8,2021
No.04 Vol.8,2021
No.03 Vol.8,2021
No.03 Vol.8,2021
No.02 Vol.8,2021
No.01 Vol.8,2021
No.09 Vol.7,2020
No.08 Vol.7,2020
No.07 Vol.7,2020
No.06 Vol.7,2020
No.05 Vol.7,2020
No.04 Vol.7,2020
No.03 Vol.7,2020
No.02 Vol.7,2020
No.01 Vol.7,2020
No.06 Vol.6,2019
No.05 Vol.6,2019
No.04 Vol.6,2019
No.03 Vol.6,2019
No.02 Vol.6,2019
No.01 Vol.6,2019
No.08 Vol.5,2018
No.07 Vol.5,2018
No.06 Vol.5,2018
No.05 Vol.5,2018
No.04 Vol.5,2018
No.03 Vol.5,2018
No.02 Vol.5,2018
No.01 Vol.5,2018
No.04 Vol.4,2017
No.03 Vol.4,2017
No.02 Vol.4,2017
No.01 Vol.4,2017
No.09 Vol.3,2016
No.08 Vol.3,2016
No.07 Vol.3,2016
No.06 Vol.3,2016
No.05 Vol.3,2016
No.04 Vol.3,2016
No.03 Vol.3,2016
No.02 Vol.3,2016
No.01 Vol.3,2016
No.02 Vol.2,2015
No.01 Vol.2,2015
No.02 Vol.1,2014
No.01 Vol.1,2014
China
Asia
Oceanic region
African
European
North American
South American
Arctic
Global Scale
Data Details

Dataset of Potential Suitable Areas Estimation for Barley Cultivation on the Qinghai-Xizang Plateau under Two Different Climate Scenarios


WEI Ying1LIU Xuan1MA Weidong*1,2LIU Fenggui1,2ZHOU Qiang1,2CHEN Qiong1,2
1 School of Geographical Science & School of National Safety and Emergency Management， Qinghai Normal University， Xining 810016， China2 Research Center for Plateau Disaster Reduction and Emergency Management， Institute of Plateau Science and Sustainable Development， Beijing Normal University-Qinghai Provincial People's Government， Xining 810016， China

DOI:10.3974/geodb.2026.04.06.V1

Published:Apr. 2026

Visitors：22       Data Files Downloaded：0      
Data Downloaded： 无      Citations：

Key Words：

highland barley,Qinghai-Xizang Plateau,climate change,potentially suitable area,MaxEnt model

Abstract：

The growing disparity between grain demand and limited arable land resources in the Qinghai-Xizang Plateau region has become increasingly acute, making the scientific management and regulation of agricultural production on the plateau, and the safeguarding of food security in the region, particularly important. Based on the current status of barley cultivation on the Qinghai-Xizang Plateau, the authors integrated multi-source data, including Digital Elevation Models (DEM), soil parameter indices and eco-meteorological variables, to simulate the current potential suitable areas for barley cultivation. They also projected the potential suitable areas for barley cultivation on the Qinghai-Xizang Plateau under RCP4.5 and RCP8.5 climate change scenarios for various future time periods. The results indicate that from the present period (1970-2000) through the near future (2021-2040) to the medium-long-term future (2041-2060), the area of regions unsuitable for potential barley cultivation is gradually decreasing, whilst the area of regions with medium and high suitability is gradually increasing; In both the near future and the mid-long-future, the area of unsuitable zones under RCP8.5 is smaller than that under RCP4.5, whilst the areas of moderate and high suitability are larger than those under RCP4.5. The dataset includes: potential suitable cultivation zones for barley in the current period, the near future under RCP4.5, the near future under RCP8.5, the mid-future under RCP4.5, and the mid-future under RCP8.5. The spatial resolution is 2.5′x2.5′. The dataset is archived in .tif format, and consists of 20 data files with data size of 6.27 MB (compressed into 1 file with 2.88 MB).

Foundation Item：

Ministry of Science and Technology of P. R. China (2019QZKK0606)；

Data Citation：

WEI Ying, LIU Xuan, MA Weidong*, LIU Fenggui, ZHOU Qiang, CHEN Qiong. Dataset of Potential Suitable Areas Estimation for Barley Cultivation on the Qinghai-Xizang Plateau under Two Different Climate Scenarios[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.04.06.V1.
.

References：


     [1] Zhou, T. J., Chen, X. L., Zhang, W. X., et al. Interpretation and implications of the chapter outline of the Working Group I contribution to the IPCC Seventh Assessment Report [J]. Climate Change Research, 2025, 21(4): 477-483.
     [2] Ding, J., Cao, Z. N., Hu, G. Z., et al. Climate change impacts, adaptation and vulnerability and implications in Working Group II of the IPCC Seventh Assessment Report [J]. Climate Change Research, 2025, 21(4): 484-493.
     [3] Tan, X. C., Cheng, Y. L., Yan, H. S., et al. Interpretation and implications of the summary on climate change mitigation in the IPCC Seventh Assessment Report Working Group III [J]. Climate Change Research, 2025, 21(4): 494-501.
     [4] Zhang, Q. P., Gu, X. Challenges and responses: climate change and global agricultural production [J]. Ecological Economy, 2025, 41(4): 5-8.
     [5] Pan, K. W., He, Y., Tang, Y. W., et al. Progress of the scientific expedition and research on farmland ecosystem and food security in Qinghai-Tibet Plateau [J]. Chinese Journal of Applied and Environmental Biology, 2022, 28 (4): 813-821
     [6] Hao, Y., Song, Y. L., Sun, S., et al. Review on the impacts of climate change on highland barley production in Tibet Plateau [J]. Chinese Journal of Agrometeorology, 2023, 44(5): 398-409.
     [7] Ye, Y. C., Dou, Q. F., Gao, G. S., et al. Main influencing factors of yield formation and agronomic characters of highland barley in Qinghai Plateau [J]. Advances in Meteorological Science and Technology, 2023, 13(4): 80-86.
     [8] Ma, W. D., Su, P., Jia, W., et al. Advances in the research on the exposure of highland barley natural disasters on the background of climate change []]. Journal of Catastrophology, 2020, 35(4): 215-221.
     [9] Ma, W. D., Jia, W., Feng, X. Y., et al. Spatial distribution dataset of barley cultivation area in the Qinghai-Tibet Plateau region in 2019 [J/OL]. Chinese Scientific Data, 2023, 8(1). https://doi.org/10.11922/11-6035.csd.2022.0092.zh.
     [10] Zhang, Y. L., Li, B. Y., Zheng, D. Datasets of the boundary and area of the Tibetan Plateau [J/DB/OL]. Digital Journal of Global Change Data Repository, 2014. https://doi.org/10.3974/geodb.2014.01.12.V1.
     [11] Zhang, Y. L., Li, B. Y., Zheng, D. Datasets of the boundary and area of the Tibetan Plateau [J]. Acta Geographica Sinica, 2014, 69(Suppl.): 164-168.
     [12] Ma, W. D. Evaluation of impact of climate change on highland barley cultivation in Qinghai-Xizang Plateau [D]. Xining: Qinghai Normal University, 2022.

Data Product:

ID Data Name Data Size Operation
1 P.SuitableArea_QZ_Plateau.rar 2950.88KB
DownLoad
Co-Sponsors
Superintend