赵锦

  工作履历

2009.09-2010.06  内蒙古伊金霍洛旗苏布尔嘎镇中心小学   支教

2015.07-2017.11  中国农业大学 生态学博士后流动站    博士后

（期间：2016.05-2017.11在美国Texas A&M AgriLife Research合作研究）

2017.12-2020.07  丹麦奥胡斯大学 农业生态系       博士后

2019.11至今  中国农业大学  资源与环境学院     副教授

  学术兼职

中国农学会农业气象分会委员

中国农学会农业信息分会委员

中国仿真学会农业建模与仿真专业委员会委员

中国农学会耕作制度分会委员

美国农学会、作物学会会员

Agronomy期刊Farming Sustainability栏目编辑

Frontiers in Earth Science期刊栏目编辑

《中国农业信息》期刊青年编委

Agricultural and Forest Meteorology、Communications Earth & Environment、Computers and Electronics in Agriculture、Science of the Total Environment、Journal of Environmental Management、Field Crops Research、Agriculture Ecosystems & Environment、Agricultural Water Management、Agricultural Systems、Agronomy Journal、International Journal of Biometeorology、iScience、Farming Systems等期刊审稿人

  奖励与荣誉

中国农业大学优秀团支部（2023，班主任）

中国仿真学会科学技术二等奖 （2023，排名3）

教育部科学技术进步二等奖 （2023，排名6）

北京市“先锋杯”优秀基层团学组织 （2023，班主任）

中国农业绿色发展研究会科学技术一等奖 （2022，排名5）

北京师范大学高等教育教学成果一等奖 （2021，排名13）

中国农业大学优秀班主任 （2021年）

中国农业大学“人才培育发展支持计划”青年新星B类 （2020）

中国农业大学生态学博士后流动站出站考核“优秀” （2017）

中国科技信息研究所“领跑5000——中国精品科技期刊顶尖学术论文” （2013）

第四届国际种植制度设计大会口头报告二等奖 （2013）

中国农业大学“优秀共产党员”称号 （2009）

北京市“优秀毕业生”称号 （2009、2015）

中国农业大学“优秀毕业生”称号（2009、2015）

北京市“优秀团干部”称号（2008）

中国农业大学“优秀团干部”称号（2007、2008）

主持项目

1.中国气象局/河南省农业气象保障与应用技术重点开放实验室基金。（2023）

2.“十四五”国家重点研发计划项目课题/子课题。（2022、2023）

3.国家自然科学基金项目。（2022，2024）

4.中国农业大学“人才培育发展支持计划”青年新星B类支持经费。（2020）

5.第58批中国博士后科学基金面上项目一等资助。（2015）

学术成果

（更新至2024年6月）

一、第一或通讯作者（*）发表期刊论文

2024年

1.      Su, Z., Zhao, J.*, Zhuang, M., et al., 2024. Climate-adaptive crop distribution can feed food demand, improve water scarcity, and reduce greenhouse gas emissions. Science of the Total Environment. 944: 173819.

 

2023年

2.      Zhao, J., Liu, Z., Lv, S., et al., 2023. Changing maize hybrids helps adapt to climate change in Northeast China: revealed by field experiment and crop modelling. Agricultural and Forest Meteorology. 342: 109693.

3.      Li, E, Zhao, J.*, Zhang, W., et al., 2023. Spatial-temporal patterns of high-temperature and drought during the maize growing season under current and future climate changes in Northeast China. Journal of the Science of Food and Agriculture. 103: 5709-5716.

4.      Dong, M., Zhao, J.*, Li, E, et al., 2023. Effects of changing climate extremes on maize yield in Northeast China. Agronomy. 13: 1050.

5.      张文婧，赵锦*，崔文倩，等，2023. 气候平均态和极端态变化对东北玉米产量的影响. 中国农业科学，56: 1859-1870.

6.      Zhao, J.*, Xue, Q., Jessup, K., et al., 2023. Deficit irrigation maintains maize yield through improved soil water extraction and stable canopy radiation interception. Journal of Agronomy and Crop Science. 209: 116-131.

 

2022年

7.      弓晓雅，赵锦，杨晓光，2022. 东北大豆农田保护性耕作水热效应的Meta分析. 中国农业气象，43：867-880.

8.      Su, Z., Zhao, J.*, Marek, T., et al., 2022. Drought tolerant maize hybrids have higher yields and lower water use under drought conditions at a regional scale. Agricultural Water Management. 274: 107978.

9.      崔文倩，赵锦*，杨晓光，2022. 基于Meta分析的4种保护性耕作措施对东北春玉米生长季农业土壤水热环境影响. 中国农业大学学报，27：24-34.

10.   Zhao, J.*, Bindi, M., Eitzinger, J., et al., 2022. Priority for climate adaptation measures in European crop production systems. European Journal of Agronomy. 138: 126516.

11.   Li, E., Zhao, J.*, Pullens, J., et al., 2022. The compound effects of drought and high temperature stresses will be the main constraints on maize yield in Northeast China.Science of the Total Environment. 812: 152461.

12.   Zhao, J., Pullens, J., Sørensen, P., et al., 2022. Agronomic and environmental factors influencing the marginal increase in nitrate leaching by adding extra mineral nitrogen fertilizer. Agriculture Ecosystems & Environment, 327: 107808.

 

2021年：

13.   Li, M., Zhao, J.*, Yang, X., 2021. Building a new machine learning-based model to estimate county-level climatic yield variation for maize in Northeast China. Computers and Electronics in Agriculture, 191: 106557.

14.   李娥，赵锦*，叶清，等，2021. 全球气候变暖对中国种植制度的可能影响ⅩⅢ.东北三省春玉米熟型变化的降水限制及其对产量的可能影响. 中国农业科学. 54（18）：3847-3859.

 

2020年：

15.   Zhao, J., Yang, X.*, Liu, Z., et al., 2020. Greater maize yield improvements in low/unstable yield zones through recommended nutrient and water inputs in the main cropping regions, China. Agricultural Water Management. 232: 106018.

 

2019年：

16.   Zhao, J.*, De Notaris, C., Olesen, J. 2019. Autumn-based vegetation indices for estimating nitrate leaching during autumn and winter in arable cropping systems. Agriculture Ecosystems & Environment. 290: 106786. （获丹麦食品与农业研究中心专题报道）

17.   Zhao, J., Yang, X.* 2019. Maize Cropping suitable divisions based on yield level and stability in the main cropping regions in China. International Journal of Biometeorology. 63: 1659-1668.

18.   Zhao, J., Xue, Q.*, Hao, B., et al., 2019. Yield determination of maize hybrids under limited irrigation. Journal of Crop Improvement. 33: 410-427.

 

2018年：

19.   Zhao, J., Yang, X.*, Sun, S. 2018. Constraints on maize yield level and stability in the main cropping regions in China. European Journal of Agronomy. 99: 106-115.

20.   Zhao, J., Xue, Q.*, Jessup, K., et al., 2018. Shoot and root traits in drought tolerant maize (Zea mays L.) hybrids. Journal of Integrative Agriculture. 17: 1093-1105.

21.   Zhao, J., Xue, Q.*, Jessup, K., et al., 2018. Yield and water use of drought-tolerant maize hybrids in a semiarid environment. Field Crops Research. 216: 1-9.

22.   Zhao, J., Yang, X.* 2018. Distribution of high-yield and high-yield-stability zones for maize yield potential in the main growing regions in China. Agricultural and Forest Meteorology, 248: 511-517.

23.   Zhao, J., Yang, X.* 2018. Average amount and stability of the available agro-climate resources for maize in the main cropping regions in China during 1981-2010. Journal of Meteorological Research. 32: 146-156.

 

2016年：

24.   Zhao, J., Yang, X.*, Liu, Z., et al., 2016. Variations in the potential suitability distribution patterns and grain yields for spring maize in Northeast China under climate change. Climatic Change, 137: 29-42.

 

2015年：

25.   Zhao, J., Yang, X.*, Lin, X., et al., 2015. Correlation between radiation use efficiency and yield of maize hybrids released in different decades in Northeast China. Agronomy Journal, 107: 1473-1480. （获美国农学会CAS NEWS专评）

26.   Zhao, J., Yang, X.*, Dai, S., et al., 2015. Increased utilization of lengthening growing season and warming temperatures by adjusting sowing dates and cultivar selection for spring maize in Northeast China. European Journal of Agronomy, 67: 12-19.

 

2014年：

27.   Zhao, J., Yang, X.*, Lv, S., et al., 2014. Variability of available climate resources and disaster risks for different maturity types of spring maize in Northeast China. Regional Environmental Change, 14(1): 17-26.

28.   赵锦，杨晓光*，刘志娟，等，2014. 全球气候变暖对中国种植制度的可能影响Ⅹ.气候变化对东北三省春玉米气候适宜性的影响. 中国农业科学，47：3143-3156.

 

2010年：

29.   赵锦，杨晓光*，刘志娟，等，2010. 全球气候变暖对中国种植制度可能影响Ⅱ.南方地区气候要素变化特征及对种植制度界限可能影响. 中国农业科学. 43：1860-1867. （入选领跑者5000“中国精品科技期刊顶尖学术论文”）

二、合作发表期刊论文

1.      Guo, E., Li, T., …, Zhao, J., et al., 2024. Potential benefits of cropping pattern change in the climate-sensitive regions of rice production in China. Science of the Total Environment, 934:173281 .

2.      Guo, S., Zhao, J., Zhao, C., et al., 2024. Adapting crop land-use in line with a changing climate improves productivity, prosperity and reduces greenhouse gas emissions. Agricultural Systems, 217: 103905.

3.      Chen, X., Bai, H., …, Zhao, J., et al., 2023. WheatSM V5.0: A Python-Based Wheat Growth and Development Simulation Model with Cloud Services Integration for Enhancing Agricultural Applications. Agronomy, 13: 2411.

4.      Guarin, R.J., Martre, P., …, Zhao, J., et al., 2023. A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations. Open Data Journal for Agricultural Research, 9: 26-33.

5.      Muleke, A., Harrison, T.M., …, Zhao, J., 2023. Clarifying confusions over carbon conclusions: antecedent soil carbon drives gains realised following intervention. Global Environmental Change Advances, 1: 100001.

6.      Nóia Júnior, R. d. S., Asseng, S., …, Zhao, J., et al., 2023. A call to action for global research on the implications of waterlogging for wheat growth and yield. Agricultural Water Management, 284: 108334.

7.      Liu, K., Harrison, T.M., …, Zhao, J., et al., 2023. Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates. Nature Communications, 14: 765.

8.      Muleke, A., Harrison, T.M., …, Zhao, J., et al., 2023. Sustainable intensification with irrigation raises farm profit despite climate emergency. Plants, People, Planet, 5: 368-385.

9.      Xu, B., Wang, T., …, Zhao, J., et al., 2023. Impact of meteorological factors and ozone variation on crop yields in China concerning carbon neutrality objectives in 2060. Environmental Pollution, 315: 120715.

10.   Guarin, R.J., Martre, P., …, Zhao, J., et al., 2022. Evidence for increasing global wheat yield potential. Environmental Research Letter, 17: 124045.

11.   Sun, S., Wang, C., …, Zhao, J., et al., 2022. The suitability for potato production in the north single cropping region in China: an integrated evaluation based on yield variability. Theoretical and Applied Climatology. 151: 183-194.

12.   Muleke, A., Harrison, T.M., …, Zhao, J., et al., 2022. Whole farm planning raises profit despite burgeoning climate crisis. Scientific Reports, 12: 17188.

13.   Guo, S., Guo, E., …, Zhao, J., et al., 2022. Impacts of mean climate and extreme climate indices on soybean yield and yield components in Northeast China. Science of the Total Environment, 838: 156284.

14.   郭世博，张方亮，…，赵锦，等，2022. 全球气候变暖对中国种植制度的可能影响XIV.东北大豆高产稳产区及农业气象灾害分析. 中国农业科学. 55（9）：1763-1762.

15.   Zhang, Z., …, Zhao, J., et al., 2022. 20% of uncertainty in yield estimates could be caused by the radiation source. Science of the Total Environment, 838: 156015.

16.   Dueri1, S., Brown, H., …, Zhao, J., et al., 2022. Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment. Journal of Experimental Botany, erac221.

17.   Zhang, Z., Sun, S., …, Zhao, J., et al., 2022. Using estimated radiation in crop models amplified the negative impacts of climate variability on maize and winter wheat yields in China. Agricultural and Forest Meteorology, 318: 108914.

18.   Børgesen, C., Pullens, J.*, Zhao, J., et al., 2022. NLES5 - An empirical model for estimating nitrate leaching from the root zone of agricultural land. European Journal of Agronomy.

19.   Harbo, L.*, De Notaris, C., Zhao, J., et al., 2021. Productivity, light interception and radiation use efficiency of organic and conventional arable cropping systems. European Journal of Agronomy, 132: 126407.

20.   孙爽，杨晓光*，…，赵锦，等，2021. 华北平原不同等级干旱对冬小麦产量的影响. 农业工程学报. 37（14）：69-78.

21.   Liu, Z., Yang, X.*, ……, Zhao, J., et al., 2021. Prolongation of the grain filling period and change in radiation simultaneously increased maize yields in China. Agricultural and Forest Meteorology, 308-309: 108573.

22.   Liu, T., Yang, X.*, ……, Zhao J. 2020. A case study of climate-smart management in foxtail millet (Setaria italica) production under future climate change in Lishu county of Jilin, China. Agricultural and Forest Meteorology. 292–293, 108131.

23.   Gao, J., Yang, X.*, ……, Zhao, J., Sun, S. 2020. Does precipitation keep pace with temperature in the marginal double-cropping area of northern China? European Journal of Agronomy, 120: 126126.

24.   黄秋婉，刘志娟*，……，赵锦，2020. 东北三省西部春玉米适应气候变化的高产高效灌溉方案分析. 中国农业科学. 53：4470-4484.

25.   Sun, S., Yang, X.*, ……, Zhao, J., et al., 2019. Seasonal variability in potential and actual yields of winter wheat in China. Field Crops Research. 240: 1-11.

26.   Chen, J.*, Zhang, Y., ……, Zhao, J., et al., 2019. Contrasting post-fire responses of the source components of soil respiration versus ecosystem respiration. European Journal of Soil Science. 70: 616-629.

27.   Gao, J., Yang, X.*, ……, Zhao, J., et al., 2019. Effects of climate change on the extension of the potential double cropping region and crop water requirements in northern China. Agricultural and Forest Meteorology. 268: 146-155.

28.   Yang, X.*, Chen, F., ……, Zhao, J., et al., 2015. Potential benefits of climate change for crop productivity in China. Agricultural and Forest Meteorology, 208: 76-84.

29.   Lv S., Yang, X.*, ……, Zhao, J., et al., 2015. Yield gap simulations using ten maize cultivars commonly planted in Northeast China during the past five decades. Agricultural and Forest Meteorology, 205: 1-10.

30.   郑冬晓，杨晓光*，赵锦，等，2015. 气候变化背景下黄淮冬麦区冬季长寒型冻害时空变化特征. 生态学报，35（13）：1-13.

31.   孙爽，杨晓光*，赵锦，等，2015. 全球气候变暖对中国种植制度的可能影响Ⅺ.气候变化背景下中国冬小麦潜在光温适宜种植区变化特征. 中国农业科学，48：1926-1941.

32.   解文娟，杨晓光*，……，赵锦，2014. 气候变化背景下东北三省大豆干旱时空特征分析. 生态学报，2014，34：6232-6243.

33.   吕硕，杨晓光*，赵锦，等，2013. 气候变化和品种更替对东北地区春玉米产量潜力的影响. 农业工程学报，29: 179-190.

34.   董朝阳，杨晓光*，……，赵锦，等，2013. 中国北方地区春玉米干旱的时间演变特征和空间分布规律. 中国农业科学，46：4234-4245.

35.   孙爽，杨晓光*，……，赵锦，等，2013. 中国冬小麦需水量时空特征分析. 农业工程学报，29：72-82.

三、出版教材、著作与软件著作权

教材：

肖金香，等. 2023. 农业气象学. 北京：高等教育出版社。（副主编）

姜会飞，等. 2023. 农业气象学. 北京：科学出版社。（副主编）

专著：

杨晓光，刘志娟，赵锦. 2018. 气候变化对中国东北玉米影响研究. 北京：气象出版社（978-7-5029-6828-1）。

杨晓光，孙爽，赵锦，等. 2021. 气候变化对中国华北冬小麦影响研究. 北京：气象出版社（978-7-5029-7594-4）。

研究报告：

Børgesen, C.D., Sørensen, P., …, Zhao, J., et al., 2020. NLES-5 – An empirical model for predicting nitrate leaching from the root zone of agricultural land in Denmark. （丹麦农业与食品国家报告）

软件著作权：

杨晓光，赵锦，叶清. 气候资源与灾害分析信息系统，2016SRBJ0383（中国，北京）

赵锦，黎满耀，杨晓光. 基于机器学习的气候产量预测软件，2022SR0318947（中国，北京）

1. 气候变化与种植制度

2. 气候变化与粮食安全

3. 作物模型开发与应用

本科生课程：近十年课程数据
研究生课程：近十年课程数据

软件著作 专利