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Xiao L., Wang G., Wang E., Liu S., Chang J., Zhang P., Zhou H., Wei Y., Zhu Y., Luo Z. (2024) Spatiotemporal co-optimization of agricultural management practices towards climate-smart crop production. Nature food, 5(1): 59-71. https://www.nature.com/articles/s43016-023-00891-x (IF5=23.2)
Xiao L.,Wang G., Wang M., Zhang S., Sierra C.A., Guo X., Chang J., Shi Z. & Luo Z. (2022) Younger carbon dominates global soil carbon efflux. Global Chang Biology, 28, 5587-5599. https://doi.org/10.1111/gcb.16311 (IF5=13.1, 一区TOP)
Xiao L., Wang G., Chang J., Chen Y., Guo X., Mao X., Wang M., Zhang S., Shi Z., Luo Y., Cheng L., Yu K., Mo F., Luo Z. (2023). Global depth distribution of belowground net primary productivity. Global Ecology and Biogeography,00,1-17. https://doi.org/10.1111/geb.13705 (IF5=8, 一区TOP)
Xiao L., Asseng S., Wang X., Xia J., Zhang P., Liu L., Tang L., Cao W., Zhu Y. & Liu B. (2022) Simulating the effects of low-temperature stress on wheat biomass growth and yield. Agricultural and Forest Meteorology, 326, 109191. https://doi.org/10.1016/j.agrformet.2022.109191 (IF5=7.02, 一区TOP)
Xiao L., Wang G., Zhou H., Jin X. & Luo Z. (2022) Coupling agricultural system models with machine learning to facilitate regional predictions of management practices and crop production. Environmental Research Letters, 17, 114027. https://doi.org/10.1088/1748-9326/ac9c71 (IF5=8.4, Q1)
Xiao L., Liu B., Zhang H., Gu J., Fu T., Asseng S., Liu L., Tang L., Cao W. & Zhu Y. (2021) Modeling the response of winter wheat phenology to low temperature stress at elongation and booting stages. Agricultural and Forest Meteorology, 303, 108376.https://doi.org/10.1016/j.agrformet.2021.108376 (IF5=7.02, 一区TOP)
Xiao L., Liu L., Asseng S., Xia Y., Tang L., Liu B., Cao W. & Zhu Y. (2018) Estimating spring frost and its impact on yield across winter wheat in China. Agricultural and Forest Meteorology, 260-261, 154-164.https://doi.org/10.1016/j.agrformet.2018.06.006 (IF5=7.02, 一区TOP)
Liu, S., Li, T., Liu, B., Xu, C., Zhu, Y., & Xiao L.*. (2023). Grassland vegetation decline is exacerbated by drought and can be mitigated by soil improvement in Inner Mongolia, China. Science of The Total Environment, 168464. https://doi.org/10.1016/j.scitotenv.2023.168464 (IF5=10.2, 一区TOP)
代表性合作论文:
Zhang, S., Wang, M., Xiao, L., Guo, X., Zheng, J., Zhu, B., & Luo, Z. (2024). Reconciling carbon quality with availability predicts temperature sensitivity of global soil carbon mineralization. PNAS, 121(11), e2313842121.
Wang, M., Zhang, S., Guo, X., Xiao, L., Yang, Y., Luo, Y., Mishra, U., & Luo, Z. (2024). Responses of soil organic carbon to climate extremes under warming across global biomes. Nature Climate Change, 14(1), 98-105.
Wang G., Xiao L., Lin Z., Zhang Q., Guo X., Cowie A., Wang M., Chen S., Zhang G., Shi Z., Sun W., Luo Z. (2023) Most root-derived carbon inputs do not contribute to long-term global soil carbon storage. Science China Earth Sciences.
Wang M., Guo X., Zhang S., Xiao L., Mishra U., Yang Y., Zhu B., Wang G., Mao X., Qian T., Jiang T., Shi Z. & Luo Z. (2022) Global soil profiles indicate depth-dependent soil carbon losses under a warmer climate. Nature Communication, 13, 5514.
Gustafson D., Asseng S., Kruse J., ..., Wu G. & Xiao L. (2021) Supply chains for processed potato and tomato products in the United States will have enhanced resilience with planting adaptation strategies. Nature Food, 2, 862-872.
Guo X., Mao X., Yu W., Xiao L., Wang M., Zhang S., Zheng J., Zhou H., Luo L., Chang J., Shi Z. & Luo Z. (2022) A field incubation approach to evaluate the depth dependence of soil biogeochemical responses to climate change. Global Change Biology, 00, 1-12.
Guo X., Viscarra Rossel R.A., Wang G., Xiao L., Wang M., Zhang S. & Luo Z. (2022) Particulate and mineral-associated organic carbon turnover revealed by modelling their long-term dynamics. Soil Biology and Biochemistry, 173.
发明专利:
【专利】肖浏骏,朱艳,康敏,安敬威,汤亮,刘兵,刘蕾蕾,曹卫星,一种水稻冠层氮垂直分布特征模拟方法、系统及装置,ZL202410609191.5,2024
【专利】肖浏骏,康敏,朱艳,王偲媛,安敬威,汤亮,刘兵,刘蕾蕾,曹卫星,一种水稻花后低温胁迫下光合作用的模拟方法、系统及装置,ZL202410738183.0,2024
【专利】朱艳,康敏,肖浏骏,张磊,王晨坤,汤亮,刘兵,刘蕾蕾,曹卫星,一种基于氮分配算法的水稻光合作用模拟方法、系统及装置,ZL202410917572.X,2024
【专利】刘兵,山嵩,刘佳明,汤亮,刘蕾蕾,肖浏骏,朱艳,曹卫星,一种作物生产-温室气体排放协同模拟方法、系统及装置,ZL202410808737.X,2024
【软件著作权】朱艳,郑招文,张小虎,汤亮,邱小雷,刘蕾蕾,刘兵,肖浏骏,张羽,田永超,曹卫星,小麦空间生产力预测预警平台V1.0,2023SR1661267,2023
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南京农业大学高层次人才引进项目,2023-2028,主持
江苏省科协青年科技人才托举工程,2023-2026,主持
国家自然科学基金面上基金项目——融合过程机理和智能算法的稻麦系统碳循环模拟及管理优化研究 2025-2028,50万,主持
国家自然科学基金青年基金项目——基于过程模型与机器学习集成的华北平原冬小麦/夏玉米管理优化研究 2021-2023,30万,主持
国家重点研发计划——大田作物生长模型与智能决策技术研发,2022-2027,2000万,项目秘书,在研
中央高校基本科研业务费——土壤改良对中国水稻生产力和稻田温室气体排放的协同影响,2024,主持
中央高校基本科研业务费——碳中和愿景下我国冬小麦主产区增产、增汇和温室气体减排研究,2023,10万,主持
塔里木大学区域联合基金项目——南疆滴灌棉田土壤盐分时空分异三维可视化表达及管控风险研究,2023,主持
中国博士后面上基金项目 2021-2022,8万,主持
LAPC国家重点实验室开放基金项目——面向碳中和的农田固碳、减排管理优化研究 2022-2023,主持
国家重点研发政府间国际科技创新合作项目——中澳农田土壤有机碳和水氮需求智能预测与管理技术 2022-2024,510万,项目秘书,在研
国家自然科学基金面上项目——土壤剖面有机碳对气候变化的响应及其机制研究 2022-2025,58万,参与
国家自然科学基金面上项目——低温胁迫下小麦籽粒蛋白质和淀粉形成过程的模拟研究 2019-2022,60万,参与
国家自然科学基金重点专项——高山冻土土壤有机碳组分响应气候变化的分异规律及其驱动机制研究 2023-2027,327万,参与
中科院先导项目——草畜动态平衡模拟系统研发与应用 2020-2025,150万,参与
浙江省自然科学基金/探索项目——基于可见-近红外光谱数据库的土壤有机质建模策略与方法研究 2021-2023,10万,参与
浙江大学生态文明计划自主研究项目——农业增产减污降排协同管理 2022-2023,80万,参与,项目撰写及执行核心骨干
浙江大学青年科研创新专项——淋溶对全剖面土壤有机碳周转影响的模型模拟研究,10万,参与
美国农业部国家农业与粮食研究所支助项目——Fruit & Vegetable Supply Chains: Climate Adaptation & Mitigation Opportunities,#2017-68002-26789 2017-2020,150万美元,参与
国际农业模型比较与改进项目(AgMIP)小麦组第三、四阶段 2015-2019,参与
国家“863”计划,粮食作物系统数字化模拟与设计技术 2013-2017,参与