Water Consumption Simulating Dataset of Major Crops Pattern Optimization in China (2015)
LIU Ziyuan1ZUO Lijun*1
1 Aerospace Information Research Institute，Chinese Academy of Sciences，Beijing 100101，China
DOI:10.3974/geodb.2023.04.03.V1
Published:Apr. 2023
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Key Words：
water resources,major crops,pattern optimization,sown area
Abstract：
Based on the data of China's pixel-scale (spatial resolution of 5×5 arcmin) crop yield, water consumption, and regional water resource stress in 2015 (data for Hong Kong, Macau and Taiwan are unavailable), the authors used the CPLEX optimization model to carry out optimization simulations of major crops (soybean, rice, maize, and wheat), and developed the water consumption simulating dataset of major crops pattern optimization in China (2015). The dataset includes the following data: (1) changes of each indicator before and after optimization; (2) comparison of optimization results at different implementation scales (national, agricultural regions, and provinces); (3) changes of sown area in each province after optimization; (4)spatial distribution of crop sown area after optimization; (5) changes of total water consumption in each province after optimization; (6) grading statistics of the total water consumption per unit of output; (7) changes of irrigation water consumption in each province after optimization; (8) spatial variation of irrigation water consumption after optimization; (9) changes in average baseline water stress for crops. The dataset is archived in .tif and .xlsx formats, and consists of 35 data files with data size of 15 MB (compressed into one file with 1.57 MB). The analysis paper based on this dataset was coordinated to be published at Acta Geographica Sinica, Vol. 78, No. 3, 2023.
Foundation Item：
Chinese Academy of Sciences (XDA19090119)
Data Citation：
LIU Ziyuan, ZUO Lijun*. Water Consumption Simulating Dataset of Major Crops Pattern Optimization in China (2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.04.03.V1.
References：
[1] Zuo, L. J., Zhang, Z. X., Carlson, K. M., et al. Progress towards sustainable intensification in China challenged by land-use change [J]. Nature Sustainability, 2018, 1(6): 304-313.
[2] Zuo, L. J., Wang, X., Liu, F., et al. Spatial exploration of multiple cropping efficiency in China based on time series remote sensing data and econometric model [J]. Journal of Integrative Agriculture, 2013, 12(5): 903-913.
[3] World Resources Institute. Baseline Water Stress: China [EB/OL]. https://www.wri.org/research/baseline-water-stress-china, 2016-06-17.
[4] Pohjanmies, T., Eyvindson, K., Triviño, M., et al. More is more? Forest management allocation at different spatial scales to mitigate conflicts between ecosystem services [J]. Landscape Ecology, 2017, 32(12): 2337-2349.
[5] Wang, Y., Zhang, Z. X., Zuo, L. J., et al. Mapping crop distribution patterns and changes in China from 2000 to 2015 by fusing remote-Sensing, statistics, and knowledge-based crop phenology [J]. Remote Sensing, 2022, 14(8): 1-19.
[6] National Agricultural Regionalization Commission. Comprehensive Agricultural Regionalization of China [M]. Beijing: China Agriculture Press, 1981.
Data Product:
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CropPatternOptimization_2015.rar |
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