Zhou B, Yang B, Wang F, Qin C, Niu L, Liu X, Zhang Q, Gao J, Zeng Q, He M, Rossi S, Bräuning A (2026)
Publication Type: Journal article
Publication year: 2026
Book Volume: 389
Article Number: 111445
DOI: 10.1016/j.agrformet.2026.111445
Optimal hydrothermal conditions are crucial for tree growth. Previous studies have mainly focused on the temperature thresholds, while the existence of potential precipitation thresholds may be overlooked. Since extreme precipitation events have become increasingly frequent and intense, their impacts on tree radial growth still remain poorly understood and quantified. Here we established one of the longest (10–15 years) dendrometer dataset to investigate how tree stem radial increment (SRI) responds to daily-scale extreme precipitation events for three coniferous species and four sites across varying aridity gradients in arid and semi-arid northern China. Trees exhibited pronounced nonlinear responses to extreme precipitation: SRI increases with rainfall amount but declines once rainfall event exceeded a critical threshold of 50–60 mm. This threshold effect was consistently among species and throughout different phases of the growing season. Moreover, under extreme precipitation conditions, high soil water content negatively impacted SRI, whereas daily maximum temperature showed a weaker positive association. These findings provide event-scale evidence that may help explain the nonlinear precipitation-growth relationships commonly reported in dendroclimatology studies, and offer new insights into dryland forest productivity predictions under future climate change.
APA:
Zhou, B., Yang, B., Wang, F., Qin, C., Niu, L., Liu, X.,... Bräuning, A. (2026). Pervasive threshold effects on tree radial growth in response to precipitation extremes across varying aridity gradients. Agricultural and Forest Meteorology, 389. https://doi.org/10.1016/j.agrformet.2026.111445
MLA:
Zhou, Boru, et al. "Pervasive threshold effects on tree radial growth in response to precipitation extremes across varying aridity gradients." Agricultural and Forest Meteorology 389 (2026).
BibTeX: Download