Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution
Abstract Changing crop patterns are primary driver of land use change and can impact global atmospheric cycles. While existing studies have mapped the distribution of several crops in China, harvest area maps for a complete set of crops over the past decades are lacking. This study pioneered the dev...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05723-0 |
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| author | Kaixuan Dai Changxiu Cheng Bin Li Yun Xie Jose Alfonso Gomez Zheng Wang Xudong Wu |
| author_facet | Kaixuan Dai Changxiu Cheng Bin Li Yun Xie Jose Alfonso Gomez Zheng Wang Xudong Wu |
| author_sort | Kaixuan Dai |
| collection | DOAJ |
| description | Abstract Changing crop patterns are primary driver of land use change and can impact global atmospheric cycles. While existing studies have mapped the distribution of several crops in China, harvest area maps for a complete set of crops over the past decades are lacking. This study pioneered the development of a spatiotemporal dataset of harvest area maps for 16 crop types in China at a 1-km resolution from 1990 to 2020 with 5-year intervals. Prefecture-level crop statistics were allocated to grids based on synthetical crop suitability score, which is evaluated by natural and socioeconomic factors. County-level validations demonstrated the built dataset is highly consistent with statistics, especially for primary grains and oilseed. Moreover, crop harvest area at sub-pixel level can better represent gradient changes within urban-rural zones. The built crop maps revealed the harvest zones for maize, rice and soybeans in Northern China have steadily expanded since 1990. This dataset fully supports identification of spatiotemporal changes in China’s crop patterns and can serve as critical input for biogeochemical and agricultural models. |
| format | Article |
| id | doaj-art-77ce4b852550419e8c8e2af0de29ff77 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-77ce4b852550419e8c8e2af0de29ff772025-08-20T03:45:45ZengNature PortfolioScientific Data2052-44632025-08-0112111510.1038/s41597-025-05723-0Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolutionKaixuan Dai0Changxiu Cheng1Bin Li2Yun Xie3Jose Alfonso Gomez4Zheng Wang5Xudong Wu6State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal UniversityState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal UniversityState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal UniversityState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal UniversityInstitute for Sustainable Agriculture, CSICState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal UniversityJixian National Forest Ecosystem Observation and Research Station, CNERN, School of Soil and Water Conservation, Beijing Forestry UniversityAbstract Changing crop patterns are primary driver of land use change and can impact global atmospheric cycles. While existing studies have mapped the distribution of several crops in China, harvest area maps for a complete set of crops over the past decades are lacking. This study pioneered the development of a spatiotemporal dataset of harvest area maps for 16 crop types in China at a 1-km resolution from 1990 to 2020 with 5-year intervals. Prefecture-level crop statistics were allocated to grids based on synthetical crop suitability score, which is evaluated by natural and socioeconomic factors. County-level validations demonstrated the built dataset is highly consistent with statistics, especially for primary grains and oilseed. Moreover, crop harvest area at sub-pixel level can better represent gradient changes within urban-rural zones. The built crop maps revealed the harvest zones for maize, rice and soybeans in Northern China have steadily expanded since 1990. This dataset fully supports identification of spatiotemporal changes in China’s crop patterns and can serve as critical input for biogeochemical and agricultural models.https://doi.org/10.1038/s41597-025-05723-0 |
| spellingShingle | Kaixuan Dai Changxiu Cheng Bin Li Yun Xie Jose Alfonso Gomez Zheng Wang Xudong Wu Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution Scientific Data |
| title | Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution |
| title_full | Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution |
| title_fullStr | Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution |
| title_full_unstemmed | Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution |
| title_short | Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution |
| title_sort | mapping the harvest area of a comprehensive set of crop types in china from 1990 to 2020 at a 1 km resolution |
| url | https://doi.org/10.1038/s41597-025-05723-0 |
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