1. Research Concerns
(1) The team carries out basic research and key technology research for intelligent prevention and control of agro-meteorological disasters in the whole chain ranging from disaster monitoring and early warning to disaster damage assessment, and probes into the formation mechanisms and multi-dimensional evolution rules of agricultural disasters, new methods and technologies for accessing to major disaster information, integrated disaster risk management, and disaster mechanism regulation.
(2) The team builds a decision support platform for disaster prevention, mitigation and relief based on multi-source (air, space and land) big data fusion, artificial intelligence and other technologies, and creates a multidisciplinary, multi-interface collaborative innovation system covering the whole industrial chain, which enhances the scientific and technological support capacity for coping with climate change and disaster prevention and mitigation in agriculture.
2. Chief Scientist
Prof. Liu Buchun
Email: liubuchun@caas.cn
3. Representative Publications
1. Shirazi S, Mei X, Liu B, et al. Assessing the impact of climate change in the wheat–maize cropping system across the Huang–Huai–Hai Plain under future climate scenarios[J]. Journal of Water and Climate Change, 2022, 13.
2. Shirazi S, Mei X, Liu B, et al. Assessment of the AquaCrop Model under different irrigation scenarios in the North China Plain[J]. Agricultural Water Management, 2021, 257.
3. Liu B, Liu Y, YANG F, et al. Estimating crop water deficit during maize potential growth period and climatic sensitivity analysis in Northeast China, 1961–2010[J]. The Journal of Agricultural Science, 2016, 1: 1–13.
4. Shirazi S, Mei X, Liu B, et al. Estimating potential yield and change in water budget for wheat and maize across Huang-Huai-Hai Plain in the future[J]. Agricultural Water Management, 2022, 260.
5. Qiu M, Liu B, Liu Y, et al. Evaluating the Accuracy of a Gridded Near-Surface Temperature Dataset over Mainland China[J]. Atmosphere, 2019, 10: 250.
6. Han S, Liu B, Shi C, et al. Evaluation of CLDAS and GLDAS Datasets for Near-Surface Air Temperature over Major Land Areas of China[J]. Sustainability, 2020, 12: 4311.
7. Zhang Y, Liu B, Yang X-J, et al. Grain yield loss evaluation based on agro-meteorological disaster exposure in the middle-lower yangtze plain[J]. Chinese Journal of Agrometeorology, 2018, 39: 280–291.
8. Zhu Y, Liu B, Liu Y, et al. Investigating Contribution Factors of Grain Input to Output Transformation for the Inner Mongolia Autonomous Region in China[J]. Agronomy, 2022, 12.
9. YANG X, Liu Y, BAI W, et al. Spatiotemporal assessment of soybean drought and sensitivity analysis in Northeast China[J]. Journal of Applied Meteorology and Climatology, 2017, 56.
10. Wang, X.; Li, X.; Gu, J.; Shi, W.; Zhao, H.; Sun, C.; You, S. Drought and Waterlogging Status and Dominant Meteorological Factors Affecting Maize (Zea mays L.) in Different Growth and Development Stages in Northeast China. Agronomy 2023, 13, 374.
11. Wang X, Li X, Gu J, Shi W, Zhao H, Sun C, You S. Mapping of Phenological Traits in Northeast China Maize (Zea mays L.). Agronomy. 2022; 12(10):2585.
12. Teshome DS, Moisa MB, Gemeda DO, You S. Effect of Land Use-Land Cover Change on Soil Erosion and Sediment Yield in Muger Sub-Basin, Upper Blue Nile Basin, Ethiopia. Land. 2022; 11(12):2173.
13. Teshome DS, Taddese H, Tolessa T, Kidane M, You S. Drivers and Implications of Land Cover Dynamics in Muger Sub-Basin, Abay Basin, Ethiopia. Sustainability. 2022; 14(18):11241.
14. Daba MH, You S. Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA–Markov Model and Their Implications for Water Resources Management. Sustainability. 2022; 14(3):1538.
15. Jabbi FF, Li Y, Zhang T, Bin W, Hassan W, Songcai Y. Impacts of Temperature Trends and SPEI on Yields of Major Cereal Crops in the Gambia. Sustainability. 2021; 13(22):12480.
16. Daba MH, You S. Assessment of Climate Change Impacts on River Flow Regimes in the Upstream of Awash Basin, Ethiopia: Based on IPCC Fifth Assessment Report (AR5) Climate Change Scenarios. Hydrology. 2020; 7(4):98.
17. Wu, Y., Liu, B., Gong, Z., Hu, X., Ma, J., Ren, D., Liu, H., Ni, Y. Predicting yield loss in winter wheat due to frost damage during stem elongation in the central area of Huang-huai plain in China, Field crops research, 2022, 276: 108399.
18. Wu, Y., Ma, Y., Hu, Xin., Ma, J., Zhao, H., Ren, D. Narrow-waveband spectral indices for prediction of yield loss in frosted-damaged winter wheat during stem elongation. European journal of agronomy, 2021, 124, 126240.
19. Keming Du, Zhongfu Sun, Ying Li, et al. Diagnostic model for wheat leaf conditions using image features and a support vector machine, Transactions of the ASABE, 2016, 59(5): 1041-1052.
20. Keming Du, Zhongfu Sun, Feixiang Zheng, et al. Monitoring system for wheat meteorological disasters using wireless sensor networks, 2017 ASABE Annual International Meeting, DOI: 10.13031/aim.201700055.
21. Xiaojuan Yang*; Ning Yao; Wei Hu; Xingjie Ji; Qingzu Luan; Yuan Liu; Wei Bai; Di Chen; Buchun Liu *; Spatiotemporal Characteristics of Dryness/Wetness in the Wine Regions of China from 198 1 to 2015, Agronomy, 2022, 12(4): 1-23
22. Lei Tianjie; Wang, J.; Li, X.,et al. Flood Disaster Monitoring and Emergency Assessment Based on Multi-Source Remote Sensing Observations. Water, 2022, 14, 2207.
23. Lei Tianjie; Wu, J.; Wang, J. ,et al. The Net Influence of Drought on Grassland Productivity over the Past 50 Years. Sustainability , 2022, 14, 12374.
24. Jiabao Wang,Tianjie Lei*,Wenkai Liu,et al.Prediction analysis of landslide displacement trajectory based on the gradient descent method with multisource remote sensing observations, Geomatics, Natural Hazards and Risk,2022,14:143-175.
25. Tianjie Lei, Jiabao Wang and Weixian Tan, et al. Time-varying Baseline Error Correction Method for Ground-based Micro-Deformation Monitoring Radar. Journal of Systems Engineering and Electronics.2022, 33(4):13.
26. Li, Xiangyu, Lei, Tianjie*, et al. "The Method of Segmenting the Early Warning Thresholds Based on Fisher Optimal Segmentation." Land 12.2 (2023): 344.
27. Li, Xiangyu, Lei, Tianjie*, et al. "An Improved Combination Model for the Multi-Scale Prediction of Slope Deformation." Water 14.22 (2022): 3667.
28. Ya Gao, Chen Sun*, Tiago B. Ramos, Zailin Huo, Guanhua Huang, Xu Xu. Modeling nitrogen dynamics and biomass production in rice paddy fields of cold regions with the ORYZA-N model. Ecological Modelling.475 (2023) 110184
29. Ning Yang, Lorenzo Cotrozzi, Yulong Zhang, Xiaoke Wang, Zhiyun Ouyang, Feixiang Zheng*, First defense mechanisms of ornamental species suitablefor urban green spaces in China exposed to ozone. Urban Forestry and Urban Greening, 2018, 36: 68-75
30. Ning Yang, Xiaoke Wang, Feixiang Zheng*, Yuanyuan Chen. The response of marigold (Tagetes erecta Linn.) to ozone impacts on plant growth and leaf physiology. Ecotoxicology , 2017, 26:151–164 .
31. Ning Yang, Xiaoke Wang, Lorenzo Cotrozzi, Yuanyuan Chen, Feixiang Zheng*.Ozone effects on photosynthesis of ornamental species suitable for urban green spaces of China. Urban Forestry & Urban Greening, 2016, 20: 437-447.
32. Ma Juncheng, Liu Hongjie, Zheng Feixiang, Du Keming, Zhang Lingxian, Hu Xin, Sun Zhongfu. Estimating growth related traits of winter wheat at seedling stages based on RGB images and convolutional neural network [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(5): 183-189.
33. Ma Juncheng, Du Keming, Zheng Feixiang, Zhang Lingxian, Sun Zhongfu. Disease recognition system for greenhouse cucumbers based on deep convolutional neural network[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2018, 34(12):186-192.
34. Haigen Zhao, Yanfei Ma.Effects of various driving factors on potential evapotranspiration trends over the main grain-production area of China while accounting for vegetation dynamics. Agricultural Water Management. 2021,250,106854.
35. Haigen Zhao, Yanfei Ma.Evaluating the Drought-Monitoring Utility of Four Satellite-Based Quantitative Precipitation Estimation Products at Global Scale. Remote Sensing. 2019,17(11),2010.
36. Haigen Zhao, Yongfeng Wu, Feixiang Zheng.A framework for assessing the effects of afforestation and South-to-North Water Transfer on nitrogen and phosphorus uptake by plants in a critical riparian zone. Science of the Total Environment. 2019,651, 942-952.
37. Spatial and Temporal Variation of Droughts in the Mongolian Plateau during 1959-2018 Based on the Gridded Self-Calibrating Palmer Drought Severity Index.Water. 2022,14(2),230
38. Haigen Zhao, Bogang Yang, etal. Systematical estimation of GPM-based global satellite mapping of precipitation products over China. Atmospheric Research. 201, 206-217.
39. Chen Di, Chang Naijie, Xiao Jingfeng, Zhou Qingbo, Wu Wenbin. Mapping dynamics of soil organic matter in croplands with MODIS data and machine learning algorithms. Science of the Total Environment. 2019, 669: 844-855.
40. Chen Di, Lu Miao, Zhou Qingbo, Xiao Jingfeng, Ru Yating, Wei Yanbing, Wu Wenbin. Comparison of two synergy approaches for hybrid cropland mapping. Remote Sensing. 2019, 11, 213
41. Xiangjun Tian; Rui Han; Hongqin Zhang ; An Adjoint‐Free Alternating Direction Method for Four‐Dimensional Variational Data Assimilation With Multiple Parameter Tikhonov Regularization, Earth and Space Science, 2020, 7(11)
42. Rui Han; Xiangjun Tian; Yu Fu; Zhaonan Cai ; Real-data assimilation experiment with a joint data assimilation system: assimilating carbon dioxide mole fraction measurements from the Greenhouse gases Observing Satellit, Atmospheric and Oceanic Science Letters, 2015, 9(02): 107-113
43. Bai Huiqing, Wang Jing*, Fang Quanxiao, Yin Hong. Modeling the sensitivity of wheat yield and yield gap to temperature change with two contrasting methods in the North China Plain. Climatic Change. 2019, 156
44. (4), 589-607."
45. Bai Huiqing, Wang Jing*, Fang Quanxiao, Huang Binxiang. Does a trade-off between yield and efficiency reduce water and nitrogen inputs of winter wheat in the North China Plain? Agricultural Water Management. 2020, 233, 106095.
46. Bai Huiqing, Gambetta Gregory A, ...Dai, Zhanwu*. Historical long-term cultivarxclimate suitability data to inform viticultural adaptation to climate change. Scientific Data. 2022, 9(1), 271.
47. Bai Huiqing, Sun Zhongxiang, ...Dai, Zhanwu*. Viticultural Suitability Analysis Based on Multi-Source Data Highlights Climate-Change-Induced Decrease in Potential Suitable Areas: A Case Analysis in Ningxia, China. Remote Sensing. 2022, 14(15), 3717.
48. Sun Zhongxiang, Bai Huiqing, Ye huichun, Zhuozhiqing, Huangwenjiang*, Three-dimensional modelling of soil organic carbon density and carbon sequestration potential estimation in a dryland farming region of China. Journal of Geographical Sciences. 2021, 31 (10), 1453-1468.