TAO Fulu is a professor and research team head in Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, and University of Chinese Academy of Science. His research interests include agro-ecosystem sustainable development, climate smart agriculture, food-water-energy nexus, and responses of ecosystem processes and services to global environmental change.
He has developed several agricultural systems models, including a China Agricultural System Soil–Water Balance-model (CASswb), the MCWLA (a process-based general Model to capture the Crop–Weather relationship over a Large Area) family crop models, a super-ensemble-based probabilistic projection system (SuperEPPS). He has authored more than 240 scientific papers which have been cited by about 10000 times in the scientific journals (google scholar: 2019.12.31) and by about 30 times in the IPCC reports. He is an editor board member of several international journals including Agricultural and Forest Meteorology, European Journal of Agronomy, Journal of Meteorological Research, and Journal of Geographical Sciences; associate editor of Food Security, and Climate Research.
Xin, Y., Tao, F*. 2020. Developing climate-smart agricultural systems in the North China Plain. Agriculture, Ecosystems and Environment, 291,106791.
Zhang, H., Tao F*, Guangsheng Zhou. 2019. Potential yields, yield gaps, and optimal agronomic management practices for rice production systems in different regions of China, Agricultural Systems, 171, 100-112.
Zhang, S., Tao F*. 2019. Improving rice development and phenology prediction across contrasting climate zones of China, Agricultural and Forest Meteorology, 268, 224-233.
Xin, Y., Tao, F*. 2019. Optimizing genotype-environment-management interactions to enhance productivity and eco-efficiency for wheat-maize rotation in the North China Plain, Science of The Total Environment, 654, 480-492.
Asseng, S., et al. 2019. Climate change impact and adaptation for wheat protein. Global Change Biology, 25, 155-173.
Chen Y., Zhang Z., Tao F*. 2018. Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data. European Journal of Agronomy, 101, 163-173.
Zhai R., Tao F.*, Xu Z. 2018. Spatial–temporal changes in runoff and terrestrial ecosystem water retention under 1.5 and 2 °C warming scenarios across China. Earth System Dynamics 9 (2), 717-738.
Chen Y., Zhang Z., Tao F.* 2018. Impacts of climate change and climate extremes on major crops productivity in China at a global warming of 1.5 and 2.0° C. Earth System Dynamics 9 (2), 543-562.
Tao F, R P. Rotter, T Palosuo, et al. 2018. Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments. Global Change Biology. Global Change Biology 24 (3), 1291-1307.
Bai H, Tao F*. 2017. Sustainable intensification options to improve yield potential and eco-efficiency for rice-wheat rotation system in China. Field Crop Research, 211, 89-105.
Zhang, S., Tao F*, Zhao Zhang. 2017. Uncertainty from model structure is larger than that from model parameters in simulating rice phenology in China. European Journal of Agronomy, 87, 30-39.
Tao F, Zhaozhong Feng, Haoye Tang, Yi Chen, Kazuhiko Kobayashi. 2017. Effects of climate change, CO2 and O3 on wheat productivity in Eastern China, singly and in combination. Atmospheric Environment, 153, 182-193.
Tao, F., R？tter, R., Palosuo, T., et al., 2016. Designing future barley ideotypes using a crop model ensemble. Eur. J. Agronom. 82, 144–162.
Zhang S. Tao F. *, Zhang Z. 2016. Changes in extreme temperatures and their impacts on rice yields in southern China from 1981 to 2009. Field Crops Research, 189, 43-50.
Tao F., Zhang Z., Zhang S., Reimund P. R？tter. 2016. Variability in crop yields associated with climate anomalies in China over the past three decades. Regional Environmental Change, 16, 1715-1723.
Bai H., Tao, F*., Xiao D., Liu F., Zhang H. 2016. Attribution of yield change for rice-wheat rotation system in China to climate change, cultivars and agronomic management in the past three decades. Climate Change, 135, 539-553.
Tao F, Zhao Zhang, Shuai Zhang, et al. 2016. Historical data provide new insights into response and adaptation of maize production systems to climate change/variability in China, Field Crops Research, 185, 1-11.
Tao F, Zhao Zhang, Shuai Zhang, Reimund P. R？tter, 2015. Heat stress impacts on wheat growth and yield were reduced in the Huang-Huai-Hai Plain of China in the past three decades, European Journal of Agronomy, Volume 71, 44-52.
Tao F, Shuai Zhang, Zhao Zhang, Reimund P. R？tter, 2015. Temporal and spatial changes of maize yield potentials and yield gaps in the past three decades in China, Agriculture, Ecosystems & Environment, 208, 12-20.
Tao F, R？tter RP, Palosuo T, H？hn J, Peltonen-Sainio P, Rajala A, Salo T. 2015. Assessing climate impacts on wheat yield and water use in Finland using a super-ensemble-based probabilistic approach. Climate Research, 65, 23-37.
Tao F., Z. Zhang. 2010. Adaptation of maize production to climate change in North China Plain: Quantify the relative contributions of adaptation options. European Journal of Agronomy, 33, 103-116.
Tao F., Z. Zhang, J. Liu, M. Yokozawa. 2009. Modeling the Impacts of Weather and Climate Variability on Crop Productivity over a Large Area: A new super-ensemble-based probabilistic projection. Agricultural and Forest Meteorology, 149: 1266-1278.
Tao, F., M. Yokozawa, Z. Zhang. 2009. Modeling the Impacts of Weather and Climate Variability on Crop Productivity over a Large Area: A New Process-based Model Development, Optimization, and Uncertainties Analysis. Agricultural and Forest Meteorology. 149, 831–850.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, No.11A, Datun Road, Chaoyang District, Beijing 100101, China
Updated on Jan. 6, 2020