The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019
Abstract Accurately quantifying agricultural water use is essential for protecting agricultural systems from the risk of water scarcity and promoting sustainable water management. While previous studies have innovatively provided spatially explicit analyses or datasets, they tend to have relatively...
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Nature Portfolio
2024-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04185-0 |
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| author | Minglei Wang Wenjiao Shi |
| author_facet | Minglei Wang Wenjiao Shi |
| author_sort | Minglei Wang |
| collection | DOAJ |
| description | Abstract Accurately quantifying agricultural water use is essential for protecting agricultural systems from the risk of water scarcity and promoting sustainable water management. While previous studies have innovatively provided spatially explicit analyses or datasets, they tend to have relatively coarse resolution (~8.3 km), and inadequately considered precise localization parameters. Here, we produced annual blue and green water use for 15 main crops with a resolution of 1 km for the years 1991–2019 in China. Firstly, we estimated the yearly crop blue and green water use at the site scale by incorporating more localized input parameters using a dynamic water balance model. Then, the random forest model was combined with site-scale simulation results to generate spatial predictions of blue and green water for each crop from 1991 to 2019. The resulting maps showed a high correlation with locally observed values at field stations (R2 = 0.95), statistics (R2 = 0.77), and exhibited some strengths compared with existing datasets that covered various scales. This dataset can play a key role in devising sustainable water management strategies. |
| format | Article |
| id | doaj-art-c1198cb51698464695cc4e6591bb4ecb |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-c1198cb51698464695cc4e6591bb4ecb2025-08-20T01:59:43ZengNature PortfolioScientific Data2052-44632024-12-0111111210.1038/s41597-024-04185-0The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019Minglei Wang0Wenjiao Shi1Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesAbstract Accurately quantifying agricultural water use is essential for protecting agricultural systems from the risk of water scarcity and promoting sustainable water management. While previous studies have innovatively provided spatially explicit analyses or datasets, they tend to have relatively coarse resolution (~8.3 km), and inadequately considered precise localization parameters. Here, we produced annual blue and green water use for 15 main crops with a resolution of 1 km for the years 1991–2019 in China. Firstly, we estimated the yearly crop blue and green water use at the site scale by incorporating more localized input parameters using a dynamic water balance model. Then, the random forest model was combined with site-scale simulation results to generate spatial predictions of blue and green water for each crop from 1991 to 2019. The resulting maps showed a high correlation with locally observed values at field stations (R2 = 0.95), statistics (R2 = 0.77), and exhibited some strengths compared with existing datasets that covered various scales. This dataset can play a key role in devising sustainable water management strategies.https://doi.org/10.1038/s41597-024-04185-0 |
| spellingShingle | Minglei Wang Wenjiao Shi The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 Scientific Data |
| title | The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 |
| title_full | The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 |
| title_fullStr | The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 |
| title_full_unstemmed | The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 |
| title_short | The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 |
| title_sort | annual dynamic dataset of high resolution crop water use in china from 1991 to 2019 |
| url | https://doi.org/10.1038/s41597-024-04185-0 |
| work_keys_str_mv | AT mingleiwang theannualdynamicdatasetofhighresolutioncropwateruseinchinafrom1991to2019 AT wenjiaoshi theannualdynamicdatasetofhighresolutioncropwateruseinchinafrom1991to2019 AT mingleiwang annualdynamicdatasetofhighresolutioncropwateruseinchinafrom1991to2019 AT wenjiaoshi annualdynamicdatasetofhighresolutioncropwateruseinchinafrom1991to2019 |