个人简介

 李林超，男，汉族，讲师（校聘教授），内蒙古呼和浩特人，中共党员。2016年6月毕业于内蒙古农业大学农业水土工程专业，获工学学士学位；2019年6月毕业于西北农林科技大学水利工程专业，获工学硕士学位；2023年6月毕业于西北农林科技大学农业资源与环境专业，获农学博士学位；2022年4月-2023年5月在新南威尔士基础产业部联合培养。2023年8月-2024年9月在爱荷华州立大学做博士后（助理研究员）；2024年11月进入内蒙古农业大学农学院从事教学科研工作。现担任《Nature Communications》《Agricultural and Forest Meteorology》《Water Resources Research》《Earth’s Future》等杂志审稿人。

研究领域

气候智能型农业、农业生态系统模拟、气候变化与粮食安全

论文著作

[1] Li, Linchao, Lu, Chaoqun, Winiwarter, Wilfried, Tian, Hanqin, Canadell, Josep G, Ito, Akihiko, Jain, Atul K, Kou‐Giesbrecht, Sian, Pan, Shufen & Pan, Naiqing. Enhanced nitrous oxide emission factors due to climate change increase the mitigation challenge in the agricultural sector. Global Change Biology 30, e17472 (2024). (IF: 10.8)

[2] Li, Linchao, Wang, Bin, Feng, Puyu, Jägermeyr, Jonas, Asseng, Senthold, Müller, Christoph, Macadam, Ian, Liu, De Li, Waters, Cathy, Zhang, Yajie, He, Qinsi, Shi, Yu, Chen, Shang, Guo, Xiaowei, Li, Yi, He, Jianqiang, Feng, Hao, Yang, Guijun, Tian, Hanqin & Yu, Qiang. The optimization of model ensemble composition and size can enhance the robustness of crop yield projections. Communications Earth & Environment 4, doi:10.1038/s43247-023-01016-9 (2023). (IF: 8.1)

[3] Li Linchao, He Qinsi, Harrison Matthew Tom, Shi Yu, Feng Puyu, Wang Bin, Zhang Yajie, Li Yi, Liu De Li, Yang Guijun, Zhou Meixue, Yu Qiang, Liu Ke. Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change[J]. Resources, Environment and Sustainability, 19: 100185 (2025). (IF: 12.4)

[4] Li, Linchao, Wang, Bin, Feng, Puyu, Wang, Huanhuan, He, Qinsi, Wang, Yakai, Liu, De Li, Li, Yi, He, Jianqiang, Feng, Hao, Yang, Guijun & Yu, Qiang. Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China. Agricultural and Forest Meteorology 308-309, doi:10.1016/j.agrformet.2021.108558 (2021). (IF: 5.6)

[5] Li, Linchao, Yao, Ning, Liu, De Li, Song, Songbai, Lin, Haixia, Chen, Xinguo & Li, Yi. Historical and future projected frequency of extreme precipitation indicators using the optimized cumulative distribution functions in China. Journal of Hydrology 579, doi:10.1016/j.jhydrol.2019.124170 (2019). (IF: 5.9)

[6] Li, Linchao^#, Zhang, Yan^#, Wang, Bin, Feng, Puyu, He, Qinsi, Shi, Yu, Liu, Ke, Harrison, Matthew Tom, Liu, De Li, Yao, Ning, Li, Yi, He, Jianqiang, Feng, Hao, Siddique, Kadambot H. M. & Yu, Qiang. Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change. European Journal of Agronomy 149, doi:10.1016/j.eja.2023.126917 (2023). (IF: 4.5)

[7] Li, Linchao, Wang, Bin, Feng, Puyu, Li Liu, De, He, Qinsi, Zhang, Yajie, Wang, Yakai, Li, Siyi, Lu, Xiaoliang, Yue, Chao, Li, Yi, He, Jianqiang, Feng, Hao, Yang, Guijun & Yu, Qiang. Developing machine learning models with multi-source environmental data to predict wheat yield in China. Computers and Electronics in Agriculture 194, doi:10.1016/j.compag.2022.106790 (2022). (IF: 7.7)

[8] Li, Linchao, Yao, Ning, Li, Yi, Liu, De Li, Wang, Bin & Ayantobo, Olusola O. Future projections of extreme temperature events in different sub-regions of China. Atmospheric Research 217, 150-164, doi:10.1016/j.atmosres.2018.10.019 (2019). (IF: 4.5)

[9] Linchao Li^#, Yufeng Zou^#, Yi Li, Haixia Lin, De Li Liu, Bin Wang, Ning Yao and Songbai Song. Trends, change points and spatial variability in extreme precipitation events from 1961 to 2017 in China. Hydrology Research 51, 484-504, doi:10.2166/nh.2020.095 (2020). (IF: 2.6)

[10] He Qinsi, Lu Chaoqun^*, Cowie Annette, Zhao Shuaixiang, Liu De Li, Yi Bo, Shi Lijie, Zhang Shengwei, Qiu Tianyi, Shi Yu, Huete Alfredo, Siddique Kadambot H. M., Yu Qiang & Li Linchao^*. Optimizing cover cropping application for sustainable crop production[J]. npj Sustainable Agriculture, 2025, 3(1): 10.

[11] Yao, Ning, Li, Yi, Dong, Qin'ge, Li, Linchao, Peng, Lingling & Feng, Hao. Influence of the accuracy of reference crop evapotranspiration on drought monitoring using standardized precipitation evapotranspiration index in mainland China. Land Degradation & Development 31, 266-282, doi:10.1002/ldr.3447 (2019). (IF: 3.6)

[12] Yao, N., Li, L., Feng, P., Feng, H., Li, Liu, Liu, Y., Jiang, K., Hu, X. & Li, Y. Projections of drought characteristics in China based on a standardized precipitation and evapotranspiration index and multiple GCMs. Sci Total Environ 704, 135245, doi:10.1016/j.scitotenv.2019.135245 (2020). (IF: 8.2)

[13] Wu, Mengjie, Li, Yi, Hu, Wei, Yao, Ning, Li, Linchao & Liu, De Li. Spatiotemporal variability of standardized precipitation evapotranspiration index in mainland China over 1961–2016. International Journal of Climatology 40, 4781-4799 (2020). (IF: 3.5)

[14] Wang, Yakai, Liu, Zhunqiao, Yu, Qiang, Liu, Liangyun, Liu, Xinjie, Li, Linchao, Jia, Qianlan, Guo, Chenhui & Lu, Xiaoliang. Simulations of solar-induced chlorophyll fluorescence over crop canopies using the integrated APSIM model. Computers and Electronics in Agriculture 203, doi:10.1016/j.compag.2022.107494 (2022). (IF: 7.7)

[15] Wang, Xiaofang, Li, Yi, Chen, Xinguo, Wang, Haoran, Li, Linchao, Yao, Ning, Li Liu, De, Biswas, Asim & Sun, Shikun. Projection of the climate change effects on soil water dynamics of summer maize grown in water repellent soils using APSIM and HYDRUS-1D models. Computers and Electronics in Agriculture 185, 106142 (2021). (IF: 7.7)

[16] Wang, Lei, Li, Yi, Li, Min, Li, Linchao, Liu, Fenggui, Liu, De Li & Pulatov, Bakhtiyor. Projection of precipitation extremes in China's mainland based on the statistical downscaled data from 27 GCMs in CMIP6. Atmospheric Research 280, doi:10.1016/j.atmosres.2022.106462 (2022). (IF: 4.5)

[17] Wang, Bin, Li, Linchao, Feng, Puyu, Chen, Chao, Luo, Jing-Jia, Taschetto, Andréa S, Harrison, Matthew Tom, Liu, Ke, Li Liu, De & Yu, Qiang. Probabilistic analysis of drought impact on wheat yield and climate change implications. Weather and Climate Extremes 45, 100708 (2024). (IF: 6.1)

[18] Wang, B., Jagermeyr, J., O'Leary, G. J., Wallach, D., Ruane, A. C., Feng, P., Li, L., Liu, L., Waters, C., Yu, Q., Asseng, S. & Rosenzweig, C. Pathways to identify and reduce uncertainties in agricultural climate impact assessments. Nature Food, doi:10.1038/s43016-024-01014-w (2024). (IF: 23.6)

[19] 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. Building social resilience in North Korea can mitigate the impacts of climate change on food security. Nature Food 3, 499-511, doi:10.1038/s43016-022-00551-6 (2022). (IF: 23.6)

[20] Shi, Yu, Li, Linchao, Wu, Bingyan, Zhang, Yajie, Wang, Bin, Niu, Wenhao, He, Liang, Jin, Ning, Pan, Shufen & Tian, Hanqin. Predicting rice productivity for ground data-sparse regions: A transferable framework and its application to North Korea. Science of the Total Environment 946, 174227 (2024).  (IF: 8.2)

[21] Shi, Lijie, Wang, Bin, Li Liu, De, Feng, Puyu, Cleverly, James, Li, Linchao, Zhang, Gengxi & Yu, Qiang. Performance of potential evapotranspiration models across different climatic stations in New South Wales, Australia. Journal of Hydrology: Regional Studies 50, 101573 (2023).  (IF:4.7)

[22] Liu, Yi, Li, Yi, Li, Linchao & Chen, Chunyan. Spatiotemporal Variability of Monthly and Annual Snow Depths in Xinjiang, China over 1961–2015 and the Potential Effects. Water 11, 1666 (2019). (IF:3.0)

[23] Liu, Pei, Wang, Hongli, Li, Linchao, Liu, Xiaoli, Qian, Rui, Wang, Jinjin, Yan, Xiaoqun, Cai, Tie, Zhang, Peng & Jia, Zhikuan. Ridge-furrow mulching system regulates hydrothermal conditions to promote maize yield and efficient water use in rainfed farming area. Agricultural Water Management 232, 106041 (2020). (IF:5.9)

[24] Liu, De Li, Teng, Jin, Ji, Fei, Anwar, Muhuddin R, Feng, Puyu, Wang, Bin, Li, Linchao & Waters, Cathy. Characterizing spatiotemporal rainfall changes in 1960–2019 for continental Australia. International Journal of Climatology 41, E2420-E2444 (2021). (IF: 3.5)

[25] Lin, Haixia, Li, Na, Li, Yi, Liu, Hongguang, Liu, Jian, Li, Linchao, Feng, Puyu, Liu, Deli & Liu, Chuncheng. Quantitative Analysis of Winter Wheat Growth and Yields Responding to Climate Change in Xinjiang, China. Water 13, 3624 (2021). (IF:3.0)

[26] Liang, Jiaping, Li, Hang, Li, Na^*, Yang, Qiliang^* & Li, Linchao^*. Analysis and Prediction of the Impact of Socio-Economic and Meteorological Factors on Rapeseed Yield Based on Machine Learning. Agronomy 13, 1867 (2023). (IF:3.7)

[27] Li, Siyi, Wang, Bin, Feng, Puyu, Li Liu, De, Li, Linchao, Shi, Lijie & Yu, Qiang. Assessing climate vulnerability of historical wheat yield in south-eastern Australia's wheat belt. Agricultural Systems 196, 103340 (2022). (IF:6.1)

[28] Li, Na, Yao, Ning, Li, Yi, Chen, Junqing, Liu, Deli, Biswas, Asim, Li, Linchao, Wang, Tianxue & Chen, Xinguo. A meta-analysis of the possible impact of climate change on global cotton yield based on crop simulation approaches. Agricultural Systems 193, 103221 (2021). (IF:6.1)

[29] Ji, Yadong, Li, Yi, Yao, Ning, Biswas, Asim, Chen, Xinguo, Li, Linchao, Pulatov, Alim & Liu, Fenggui. Multivariate global agricultural drought frequency analysis using kernel density estimation. Ecological Engineering 177, 106550 (2022).

[30] Hou, Miaolei, Li, Yi, Biswas, Asim, Chen, Xinguo, Xie, Lulu, Liu, Deli, Li, Linchao, Feng, Hao, Wu, Shufang & Satoh, Yusuke. Concurrent drought threaten wheat and maize production and widen crop yield gaps in the future. Agricultural Systems 220, 104056 (2024). (IF:6.1)

[31] He, Qinsi, Liu, De Li, Wang, Bin, Li, Linchao, Cowie, Annette, Simmons, Aaron, Zhou, Hongxu, Tian, Qi, Li, Sien, Li, Yi, Liu, Ke, Yan, Haoliang, Harrison, Matthew Tom, Feng, Puyu, Waters, Cathy, Li, Guangdi D., de Voil, Peter & Yu, Qiang. Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia. Agricultural Systems 203, doi:10.1016/j.agsy.2022.103527 (2022). (IF:6.1)

[32] He, Qinsi, Li Liu, De, Wang, Bin, Wang, Zikui, Cowie, Annette, Simmons, Aaron, Xu, Zhenci, Li, Linchao, Shi, Yu & Liu, Ke. A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability. Resources, Conservation and Recycling 203, 107428 (2024). (IF:11.2)

[33] He, Qinsi, Li Liu, De, Wang, Bin, Cowie, Annette, Simmons, Aaron, Waters, Cathy, Li, Linchao, Feng, Puyu, Li, Yi & de Voil, Peter. Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change. Agriculture, Ecosystems & Environment 353, 108536 (2023). (IF:6.0)

[34] Ding, Yang, Li, Yi, Li, Linchao, Yao, Ning, Hu, Wei, Yang, Daqing & Chen, Chunyan. Spatiotemporal variations of snow characteristics in Xinjiang, China over 1961–2013. Hydrology Research 49, 1578-1593 (2018). (IF: 2.6)

[35] Chen, Shang, He, Liang, Dong, Wenbiao, Li, Ruotong, Jiang, Tengcong, Li, Linchao, Feng, Hao, Zhao, Kuifeng, Yu, Qiang & He, Jianqiang. 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. Agricultural and Forest Meteorology 315, 108810 (2022).  (IF:5.9)

[36] Chen, Haixin, Li, Linchao, Luo, Xiaoqi, Li, Yi, Liu, De Li, Zhao, Ying, Feng, Hao & Deng, Jia. Modeling impacts of mulching and climate change on crop production and N2O emission in the Loess Plateau of China. Agricultural and Forest Meteorology 268, 86-97, doi:10.1016/j.agrformet.2019.01.002 (2019). (IF: 5.6)

[37] 秦榕, 李林超*, 杨霰, 杨华, 杨艳玲 & 何亚平. 新疆地区蒸发皿蒸发量变化及基于小波的周期分析. 干旱区地理 41, 954-962 (2018).

砂砾石覆盖条件下作物生长过程监控软件V1.0, 2017SR442352