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通讯地址:珠海市金凤路18号燕华苑6栋一层(邮编:519087)
职称:特聘副研究员
工作经历
副研究员 |
伟德betvlctor体育官网 伟德betvlctor体育官网 |
2022至今 |
助理研究员 |
浙江大学 生物系统工程与食品科学学院 |
2018-2022 |
教育经历
博士 |
德国霍恩海姆大学 |
2018 |
硕士 |
中国农业大学 |
2013 |
访学 |
德国霍恩海姆大学 |
2011.11; 2012.11-2013.1 |
学士 |
中国农业大学 |
2011 |
论文及著作
- Zhang Z., Xu J.*, Jin S., Zhuang H., Li S., Wu X., Zhang Z. (2024) Considerable energy crop production potentials in the Russian Far East. Biomass and Bioenergy, 189, 107365.
- Xu J., Gao J., de Holanda H.V., Rodríguez L.F., Caixeta-Filho J.V., Zhong R., Jiang H., Li H., Du Z., Wang X., Wang S., Ting K.C., Ying Y., Lin T. (2021) Double cropping and cropland expansion boost grain production in Brazil. Nature Food, 2 (4), 264 - 273.
- b. Zhejiang University Newsroom - Story behind grain boom in Brazil
- Zhang B.1, Xu J.1, Lin Z., Lin T., Faaij A.P.C. (2021) Spatially explicit analyses of sustainable agricultural residue potential for bioenergy in China under various soil and land management scenarios. Renewable and Sustainable Energy Reviews, 137, 110614.
- Xu, J., Gauder, M., Zikeli, S., Möhring, J., Gruber, S., & Claupein, W. (2018) Effects of 16-year woodchip mulching on weeds and yield in organic farming. Agronomy Journal, 110(1), 359-368.
- Xu, J., Gauder, M., Gruber, S., & Claupein, W. (2017) Yields of annual and perennial energy crops in a 12-year field trial. Agronomy Journal, 109(3), 811-821.
- Han J., Zhang Z., Xu J., Chen Y., Jägermeyr J., Cao J., Luo Y., Cheng F., Zhuang H., Wu H., Mei Q., Song J., Tao F. (2024) Threat of low-frequency high-intensity floods to global cropland and crop yields. Nature Sustainability, 7 (8), 994 - 1006.
- Zhuang H., Zhang Z., Cheng F., Han J., Luo Y., Zhang L., Cao J., Zhang J., He B., Xu J., Tao F. (2024) Integrating data assimilation, crop model, and machine learning for winter wheat yield forecasting in the North China Plain. Agricultural and Forest Meteorology, 347, 109909.
- Mei Q., Zhang Z., Han J., Song J., Dong J., Wu H., Xu J., Tao F. (2024) ChinaSoyArea10m: a dataset of soybean-planting areas with a spatial resolution of 10m across China from 2017 to 2021. Earth System Science Data, 16 (7), 3213 - 3231.
- Zhang Z., Luo Y., Han J., Xu J., Tao F. (2024) Estimating global wheat yields at 4 km resolution during 1982–2020 by a spatiotemporal transferable method. Remote Sensing, 16 (13), 2342.
- Wu H., Zhang J., Zhang Z., Han J., Cao J., Zhang L., Luo Y., Mei Q., Xu J., Tao F. (2023) AsiaRiceYield4km: seasonal rice yield in Asia from 1995 to 2015. Earth System Science Data, 15 (2), 791 - 808.
- Zhu P., Burney J., Chang J., Jin Z., Mueller N.D., Xin Q., Xu J., Yu L., Makowski D., Ciais P. (2022) Warming reduces global agricultural production by decreasing cropping frequency and yields. Nature Climate Change, 12 (11), 1016 - 1023.
- Cheng F., Zhang Z., Zhuang H., Han J., Luo Y., Cao J., Zhang L., Zhang J., Xu J., Tao F. (2022) ChinaCropSM1 km: A fine 1km daily soil moisture dataset for dryland wheat and maize across China during 1993-2018. Earth System Science Data, 15 (1), 395 - 409.
- Lin Z., Zhong R., Xiong X., Guo C., Xu J., Zhu Y., Xu J., Ying Y., Ting K.C., Huang J., Lin T. (2022) Large-scale rice mapping using multi-task spatiotemporal deep learning and Sentinel-1 SAR time series. Remote Sensing, 14 (3), 699.
- Lin T., Zhong R., Wang Y., Xu J., Jiang H., Xu J., Ying Y., Rodriguez L., Ting K.C., Li H. (2020) DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation. Environmental Research Letters, 15 (3), 034016.
- Jiang H., Hu H., Zhong R., Xu J., Xu J., Huang J., Wang S., Ying Y., Lin T. (2020) A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level. Global Change Biology, 26 (3), 1754 - 1766.
- Xu J., Zhu Y., Zhong R., Lin Z., Xu J., Jiang H., Huang J., Li H., Lin T. (2020) DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping. Remote Sensing of Environment, 247, 111946.
- Lin T., Xu J., Shen X., Jiang H., Zhong R., Wu S., Du Z., Rodriguez L., Ting K.C. (2019) Spatiotemporal assessment of field residues of rice, maize, and wheat at provincial and county levels in China. GCB Bioenergy, 11 (10), 1146 - 1158.
- Gruber, S., Xu, J., Zikeli, S., Belz, R. Potential of wood chips for weed control, In: Adujemo, T. Ol, Vögele, R.T. (eds.) Biopesticides-botanical and microorganisms for improving agriculture and human health. Chapter 6, Logos Verlag Berlin. (Book chapter)
学术会议及报告
张宗亮,徐佳路,以俄远东为例的高纬度地区生物能源开发潜力评估.第六届环境地理青年论坛.吉林省延边朝鲜族自治州.2024年8月2–5日
徐佳路,2022年第一期莱茵-美因论坛,德国法兰克福大使馆教育组农学-食品-生物经济专业学术专题讲座,特邀报告
Xu, J., de Holanda, H. V., and Lin, T. Driving Process for the Booming Grain Production in Brazil: A Transition from Extensification to Intensification. Presented at 2019 ASA-CSSA-SSSA International Annual Meeting. San Antonio, Texas, Nov. 10-13, 2019
科研项目
国家自然科学基金青年项目“基于生产-消费格局的蔬菜运输损失及其隐性代价研究”,2024-2026,主持,在研。
课程建设
农业生产与粮食安全(研究生课),主讲
中国粮食安全与碳中和(本科生选修课),主讲
资源安全学(研究生课),联合讲授
资源安全前沿讲座(研究生课),参与讲授
国家安全学导论(研究生课),参与讲授
国家安全导论(本科生必修课),参与讲授
研究兴趣
影响作物生产及粮食安全的环境及社会经济驱动因素
作物生产体系宏观变化、可持续性及气候变化适应性