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Identifying Changes and Their Drivers in Paddy Fields of Northeast China: Past and Future

Author

Listed:
  • Xuhua Hu

    (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China)

  • Yang Xu

    (Inner Mongolia Water Conservancy Research Institute, Hohhot 010051, China)

  • Peng Huang

    (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China)

  • Dan Yuan

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Changhong Song

    (Heilongjiang Water Conservancy Investment Group Co., Ltd., Harbin 150090, China)

  • Yingtao Wang

    (Heilongjiang Provincial Water Conservancy and Hydroelectric Power Investigation, Design and Research Institute, Harbin 150080, China)

  • Yuanlai Cui

    (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China)

  • Yufeng Luo

    (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China)

Abstract

Northeast China plays a crucial role as a major grain-producing region, and attention to its land use and land cover changes (LUCC), especially farmland changes, are crucial to ensure food security and promote sustainable development. Based on the Moderate Resolution Imaging Spectroradiometer (MODIS) data and a decision tree model, land types, especially those of paddy fields in Northeast China from 2000 to 2020, were extracted, and the spatiotemporal changes in paddy fields and their drivers were analyzed. The development trends of paddy fields under different future scenarios were explored alongside the Coupled Model Intercomparison Project Phase 6 (CMIP6) data. The findings revealed that the kappa coefficients of land use classification from 2000 to 2020 reached 0.761–0.825, with an overall accuracy of 80.5–87.3%. The proposed land classification method can be used for long-term paddy field monitoring in Northeast China. The LUCC in Northeast China is dominated by the expansion of paddy fields. The centroids of paddy fields gradually shifted toward the northeast by a distance of 292 km, with climate warming being the main reason for the shift. Under various climate scenarios, the temperature in Northeast China and its surrounding regions is projected to rise. Each scenario is anticipated to meet the temperature conditions necessary for the northeastward expansion of paddy fields. This study provides support for ensuring sustainable agricultural development in Northeast China.

Suggested Citation

  • Xuhua Hu & Yang Xu & Peng Huang & Dan Yuan & Changhong Song & Yingtao Wang & Yuanlai Cui & Yufeng Luo, 2024. "Identifying Changes and Their Drivers in Paddy Fields of Northeast China: Past and Future," Agriculture, MDPI, vol. 14(11), pages 1-20, October.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:11:p:1956-:d:1511689
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    References listed on IDEAS

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    1. Zhang, Qingsong & Sun, Jiahao & Dai, Changlei & Zhang, Guangxin & Wu, Yanfeng, 2024. "Sustainable development of groundwater resources under the large-scale conversion of dry land into rice fields," Agricultural Water Management, Elsevier, vol. 298(C).
    2. Yulin Jiang & Zhou Lu & Shuo Li & Yongdeng Lei & Qingquan Chu & Xiaogang Yin & Fu Chen, 2020. "Large-Scale and High-Resolution Crop Mapping in China Using Sentinel-2 Satellite Imagery," Agriculture, MDPI, vol. 10(10), pages 1-16, September.
    3. Piedelobo, Laura & Hernández-López, David & Ballesteros, Rocío & Chakhar, Amal & Del Pozo, Susana & González-Aguilera, Diego & Moreno, Miguel A., 2019. "Scalable pixel-based crop classification combining Sentinel-2 and Landsat-8 data time series: Case study of the Duero river basin," Agricultural Systems, Elsevier, vol. 171(C), pages 36-50.
    4. Huang, Peng & Xie, Hua & Yang, Yiting & Hu, Xuhua & Liu, Chaoli & Xu, Yang & Song, Changhong & Dai, Chunsheng & Khan, Shahbaz & Cui, Yuanlai & Luo, Yufeng, 2024. "Spatiotemporal variation in rice water requirements and area in the cold rice cultivation region of China: Past and Future," Agricultural Water Management, Elsevier, vol. 298(C).
    5. Zhao, Ziyang & Wang, Hongrui & Wang, Cheng & Li, Wangcheng & Chen, Hao & Deng, Caiyun, 2020. "Changes in reference evapotranspiration over Northwest China from 1957 to 2018: Variation characteristics, cause analysis and relationships with atmospheric circulation," Agricultural Water Management, Elsevier, vol. 231(C).
    6. Wang, Jieyong & Zhang, Ziwen & Liu, Yansui, 2018. "Spatial shifts in grain production increases in China and implications for food security," Land Use Policy, Elsevier, vol. 74(C), pages 204-213.
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    1. Gaowei Yan & Luguang Jiang & Ye Liu, 2025. "Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture," Land, MDPI, vol. 14(7), pages 1-28, July.

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