500-m CPPmax Dataset of Arid and Semi-arid Region in Northwest China (2001-2023)
CAI Diwen1ZHANG Yingqian1LUO Wenhui1LIANG Jiahong1AI Zeying1DONG Zhaoji1SHANG Zhihai*1
1 School of Geographical Sciences，Lingnan Normal University，Zhanjiang 524048，China
DOI:10.3974/geodb.2025.11.03.V1
Published:Nov. 2025
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Key Words：
Grassland,climatic potential productivity,natural baseline,Arid and Semi-arid Region of Northwest China
Abstract：
The authors constructed natural baseline values of grassland potential productivity in the Arid and Semi-arid Region of Northwest China using remote sensing (MODIS MOD17A3HGF V6.1) and climatic data, applying empirical climate productivity potential models such as the Miami, Thornthwaite Memorial, and Integrated Models, along with Liebig's minimum factor law. The dataset includes the maximum grassland potential productivity from 2001 to 2023, with a spatial resolution of 500 m. The dataset is archived in .tif and .txt formats, and consists of 6 data files with data size of 18.3 MB (compressed into one single file with 16.4 MB).
Foundation Item：
National Natural Science Foundation of China (42301003); Lingnan Normal University (ZL22032)
Data Citation：
CAI Diwen, ZHANG Yingqian, LUO Wenhui, LIANG Jiahong, AI Zeying, DONG Zhaoji, SHANG Zhihai*. 500-m CPPmax Dataset of Arid and Semi-arid Region in Northwest China (2001-2023)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.11.03.V1.
References：
[1] Grosso, S. D., Parton, W., Stohlgren, T., et al. Global potential net primary production predicted from vegetation class, precipitation, and temperature [J]. Ecology, 2008, 89(8): 2117-2126.
[2] Lieth, H., Box, E. Evapotranspiration and primary productivity: C.W. Thornthwaite Memorial Model [J]. Publication s in Climatology, 1972, 25: 37-46.
[3] Zhou, G. S., Zhang, X. S. Study on NPP of natural vegetation in China under global climate change [J]. Chinese Journal of Plant Ecology, 1996, 20(1): 11-19.
[4] Liu, S. L., Wang, T., Kang, W. P., et al. Several challenges in monitoring and assessing desertification [J]. Environmental Earth Sciences, 2014, 73(11): 7561-7570.
[5] Gui, D. W., Liu, Q., Martínez-Valderrama, J., et al. Desertification baseline: a bottleneck for addressing desertification [J]. Earth-Science Reviews, 2024, 257: 104892.
[6] Cai, D. W., Liu, W. H., Tan, Y. Y., et al. Spatial-temporal characteristics of grassland degradation in Xinjiang from 2001 to 2023 based on climate production potential baseline [J]. Journal of Desert Research, 2025, 45(5): 1-11.
[7] Zhao, S. Q. A new scheme for comprehensive physical regionalization in China [J]. Acta Geographica Sinica, 1983, 38(1): 1-10.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
NW_CPPmax.rar |
16876.09KB |
|