- 1State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), Ministry of Education Key Laboratory of Earth Surface Processes, and College of Urban and Environmental Sciences, Peking University, Beijing, China (w-xd@stu.pku.edu.cn)
- 2Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, Inner Mongolia Key Laboratory of Grassland Ecology, and School of Ecology and Environment, Inner Mongolia University, Hohhot, China
- 3Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA, USA
- 4Climate and Ecosystem Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- 5Energy and Resources Group, University of California, Berkeley, CA, USA
Nitrogen cycling regulates ecosystem productivity and carbon sequestration in terrestrial ecosystems, yet its response to climate warming remains uncertain. Here, we compiled the most comprehensive dataset to date, synthesizing 7,991 observations from 417 field warming experiments worldwide and combining them with random forest regression and Community Land Model (CLM) simulations. Field warming significantly accelerated nitrogen cycling, increasing N₂O emissions (+24.7%), mineralization (+25.8%), nitrification (+51.7%), and denitrification (+41.1%). Soil inorganic nitrogen also increased, while plant nitrogen remained largely unchanged. Elevated natural abundance of ¹⁵N indicated that warming alleviates nitrogen limitation and promotes more open nitrogen cycles. Soil moisture, ecosystem type, and warming magnitude were key drivers. N₂O emission and nitrification further intensified with increased warming magnitude in random forest analyses. In contrast, CLM5-BGC simulated weak responses in N₂O emissions and nitrification and negative changes in nitrogen mineralization, substantially diverging from field observations. These discrepancies highlight the omission of microbial processes and the oversimplification of large-scale ecosystem feedbacks, respectively. Uniquely, this study provides the first direct comparison among empirical data, random forest regression, and CLM simulations, revealing discrepancies and their potential causes. Collectively, our findings provide robust evidence that terrestrial nitrogen cycling is more responsive to climate warming than previously recognized and underscore the importance of integrating multiple analytical approaches to synthesize cross-scale ecological data.
How to cite: Wang, X., Ni, C., Fan, Z., Schimel, J. P., Torn, M. S., and Zhu*, B.: Terrestrial ecosystem nitrogen cycling in response to field warming: Global patterns and future trends, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1772, https://doi.org/10.5194/egusphere-egu26-1772, 2026.