Dr Siyi Li

Postdoctoral Research Fellow

School of Agriculture and Food Sustainability

siyi.li@uq.edu.au

Researcher biography

Dr. Siyi Li is a Postdoctoral Research Fellow at the University of Queensland. Her research focuses on crop modelling, climate extremes, and G×E×M interactions, with a particular emphasis on improving the resilience and sustainability of Australian cropping system under climate change. She has extensive experience in APSIM simulations, high-performance computing, big-data analytics, and integrating diverse datasets across multiple sources and dimensions.

Publications

Journal Articles (9)

Journal Articles

Yao, Shijin, Liu, De Li, Wang, Bin, Webb, Jonathan K., Li, Siyi, Huete, Alfredo, Xiang, Keyu and Yu, Qiang (2026). Climate warming enhances sugarcane yield and increases annual harvest frequency in northern coastal New South Wales, Australia. Agricultural Systems, 231 104502, 1-13. doi: 10.1016/j.agsy.2025.104502

Li, Siyi, Wang, Bin, Liu, De Li, Chen, Chao, Feng, Puyu, Huete, Alfredo, Xiang, Keyu and Yu, Qiang (2025). The contribution of climate drivers to compound drought and extreme temperature events increased in recent decades. Weather and Climate Extremes, 49 100793, 100793-49. doi: 10.1016/j.wace.2025.100793

Xiang, Keyu, Wang, Bin, Liu, De Li, Chen, Chao, Ji, Fei, Yang, Yanmin, Li, Siyi, Huang, Mingxia, Huete, Alfredo and Yu, Qiang (2025). Soil with high plant available water capacity can mitigate the risk of wheat growth under drought conditions in southeastern Australia. European Journal of Agronomy, 164 127460, 1-13. doi: 10.1016/j.eja.2024.127460

Yao, Shijin, Wang, Bin, Liu, De Li, Li, Siyi, Ruan, Hongyan and Yu, Qiang (2025). Assessing the impact of climate variability on Australia’s sugarcane yield in 1980–2022. European Journal of Agronomy, 164 127519, 1-13. doi: 10.1016/j.eja.2025.127519

Li, Siyi, Wang, Bin, Liu, De Li, Chen, Chao, Feng, Puyu, Huang, Mingxia, Wang, Xiaofang, Shi, Lijie, Waters, Cathy, Huete, Alfredo and Yu, Qiang (2024). Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?. European Journal of Agronomy, 153 127030, 1-15. doi: 10.1016/j.eja.2023.127030

Huang, Mingxia, Wang, Jing, Wang, Bin, Liu, De Li, Feng, Puyu, Yu, Qiang, Pan, Xuebiao, Li, Siyi and Jiang, Tengcong (2022). Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China. Agricultural Systems, 199 103411, 1-9. doi: 10.1016/j.agsy.2022.103411

Li, Linchao, Wang, Bin, Feng, Puyu, Li Liu, De, He, Qinsi, Zhang, Yajie, Wang, Yakai, Li, Siyi, Lu, Xiaoliang, Yue, Chao, Li, Yi, He, Jianqiang, Feng, Hao, Yang, Guijun and Yu, Qiang (2022). Developing machine learning models with multi-source environmental data to predict wheat yield in China. Computers and Electronics in Agriculture, 194 106790, 1-12. doi: 10.1016/j.compag.2022.106790

Li, Siyi, Wang, Bin, Feng, Puyu, Liu, De Li, Li, Linchao, Shi, Lijie and Yu, Qiang (2022). Assessing climate vulnerability of historical wheat yield in south-eastern Australia's wheat belt. Agricultural Systems, 196 103340, 1-14. doi: 10.1016/j.agsy.2021.103340

Li, Siyi, Li, Yi, Lin, Haixia, Feng, Hao and Dyck, Miles (2018). Effects of different mulching technologies on evapotranspiration and summer maize growth. Agricultural Water Management, 201, 309-318. doi: 10.1016/j.agwat.2017.10.025

Areas of research

Crop science