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Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change 知识引导的机器学习在提高气候变化下水淹效应对作物产量预测中的应用 Li, Linchao; He, Qinsi; Harrison, Matthew Tom; Feng, Puyu; Wang, Bin; Zhang, Yajie; Li, Yi; Liu, De Li; Yang, Guijun; Zhou, Meixue; Yu, Qiang 分享 收藏
Concurrent drought threaten wheat and maize production and widen crop yield gaps in the future Hou, Miaolei; Li, Yi; Biswas, Asim; Chen, Xinguo; Xie, Lulu; Liu, Deli; Li, Linchao; Feng, Hao; Wu, Shufang; Satoh, Yusuke; Pulatov, Alim; Siddique, Kadambot H. M. 分享 收藏
Probabilistic analysis of drought impact on wheat yield and climate change implications 干旱对小麦产量影响的概率分析及气候变化意义 Wang, Bin; Li, Linchao; Feng, Puyu; Chen, Chao; Luo, Jing-Jia; Harrison, Matthew Tom; Liu, Ke; Liu, De Li; Yu, Qiang; Guo, Xiaowei 分享 收藏
Enhanced nitrous oxide emission factors due to climate change increase the mitigation challenge in the agricultural sector 由于气候变化而增加的一氧化二氮排放因子增加了农业部门的缓解挑战 Li, Linchao; Lu, Chaoqun; Winiwarter, Wilfried; Tian, Hanqin; Canadell, Josep G.; Ito, Akihiko; Jain, Atul K.; Kou-Giesbrecht, Sian; Pan, Shufen; Pan, Naiqing; Shi, Hao; Sun, Qing; Vuichard, Nicolas; Ye, Shuchao; Zaehle, Soenke; Zhu, Qing 分享 收藏
Pathways to identify and reduce uncertainties in agricultural climate impact assessments Wang, Bin; Jaegermeyr, Jonas; O'Leary, Garry J.; Wallach, Daniel; Ruane, Alex C.; Feng, Puyu; Li, Linchao; Liu, De Li; Waters, Cathy; Yu, Qiang; Asseng, Senthold; Rosenzweig, Cynthia 分享 收藏
A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability 食物-能源-水-碳关系框架为特定区域的农业可持续性提供了最佳策略 He, Qinsi; Liu, De Li; Wang, Bin; Wang, Zikui; Cowie, Annette; Simmons, Aaron; Xu, Zhenci; Li, Linchao; Shi, Yu; Liu, Ke; Harrison, Matthew Tom; Waters, Cathy; Huete, Alfredo; Yu, Qiang 分享 收藏
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Building social resilience in North Korea can mitigate the impacts of climate change on food security Shi, Yu; Zhang, Yajie; Wu, Bingyan; Wang, Bin; Li, Linchao; Shi, Hao; Jin, Ning; Liu, De Li; Miao, Ruiqing; Lu, Xiaoliang; Geng, Qingling; Lu, Chaoqun; He, Liang; Fang, Nufang; Yue, Chao; He, Jianqiang; Feng, Hao; Pan, Shufen; Tian, Hanqin; Yu, Qiang 分享 收藏
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Developing machine learning models with multi-source environmental data to predict wheat yield in China 利用多源环境数据开发机器学习模型预测中国小麦产量 Li, Linchao; Wang, Bin; Feng, Puyu; Liu, De Li; He, Qinsi; Zhang, Yajie; Wang, Yakai; Li, Siyi; Lu, Xiaoliang; Yue, Chao; Li, Yi; He, Jianqiang; Feng, Hao; Yang, Guijun; Yu, Qiang 分享 收藏
Weather records from recent years performed better than analogue years when merging with real-time weather measurements for dynamic within-season predictions of rainfed maize yield 近年来的天气记录与实时天气测量相结合，对雨养玉米产量进行动态的季节内预测时，其表现要好于模拟年份。 Chen, Shang; He, Liang; Dong, Wenbiao; Li, Ruotong; Jiang, Tengcong; Li, Linchao; Feng, Hao; Zhao, Kuifeng; Yu, Qiang; He, Jianqiang 分享 收藏
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