Ning Luo is a visiting student in the RD2 group "Land use and resilience", working with the vegetation and agricultural model LPJmL. He is currently a Ph.D. candidate, at College of Agronomy and Biotechnology, China Agricultural University. His research area is maize yield response to extreme events (e.g., heat, drought) and adaptations in practices. He is also interested in process-based crop models, statistics models and machine learning algorithms.
Contact
14412 Potsdam
Luo, N., Mueller, N., Zhang, Y., Feng, P., Huang, S., Liu, D L., Yu, Y., Wang, X., Wang, P. & Meng, Q. (2023). Short-term extreme heat at flowering amplifies the impacts of climate change on maize production. Environmental Research Letters.
Luo, N., Meng, Q., Feng, P., Qu, Z., Yu, Y., Liu, D L., Müller, C. & Wang, P. (2023). China can be self-sufficient in maize production by 2030 with optimal crop management. Nature Communications 14,2637.
Luo, N., Wang, X., Hou, J., Wang, Y., Wang, P., and Meng, Q. (2020). Agronomic optimal plant density for yield improvement in the major maize regions of China. Crop Science 60, 1580-1590.
