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Article

Widespread Declining Sensitivity of Chinese Forests to Soil Moisture Under Climate Change (2001–2020)

1
Faculty of Geography, Yunnan Normal University, Kunming 650500, China
2
Southwest United Graduate School, Kunming 650500, China
3
GIS Technology Research Center of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Kunming 650500, China
*
Author to whom correspondence should be addressed.
Forests 2026, 17(1), 15; https://doi.org/10.3390/f17010015
Submission received: 22 October 2025 / Revised: 10 December 2025 / Accepted: 17 December 2025 / Published: 22 December 2025
(This article belongs to the Section Forest Hydrology)

Abstract

In the context of global climate change, quantifying the coupling relationship between forest growth status and soil moisture (SM) remains crucial for predicting ecosystem functional changes. However, systematic analysis of their dynamic coupling mechanisms is currently lacking. To address this gap, we systematically quantified the sensitivity of forest growth status to soil moisture and revealed its spatiotemporal patterns and driving mechanisms based on NDVI, LAI, and GPP data during the growing season of Chinese forests from 2001 to 2020. Results demonstrate that Chinese forests are experiencing a significant “soil moisture desensitization” process (|r| trend < 0, p < 0.05). Although forest growth status increased significantly (p < 0.05), sensitivity to soil moisture declined across 71% of forest areas, with only 26% showing increasing trends. Moreover, the area of soil moisture deficit regions (r > 0, p < 0.05) contracted sharply from 27% to 5%, while surplus regions (r < 0, p < 0.05) expanded by 7%. Attribution analysis reveals that solar radiation (~35%), precipitation (~25%), and atmospheric CO2 concentration (~17%) represent the dominant factors driving sensitivity trends. This study provides new insights into hydrological response mechanisms of Chinese forests and holds important implications for optimizing ecological management and climate adaptation strategies.
Keywords: climate change; forest desensitization; soil moisture; spatiotemporal patterns; driving mechanisms climate change; forest desensitization; soil moisture; spatiotemporal patterns; driving mechanisms

Share and Cite

MDPI and ACS Style

Guan, Y.; Pei, X.; Chen, L.; Chen, H.; Zhou, Z.; Liu, G.; Luo, Y. Widespread Declining Sensitivity of Chinese Forests to Soil Moisture Under Climate Change (2001–2020). Forests 2026, 17, 15. https://doi.org/10.3390/f17010015

AMA Style

Guan Y, Pei X, Chen L, Chen H, Zhou Z, Liu G, Luo Y. Widespread Declining Sensitivity of Chinese Forests to Soil Moisture Under Climate Change (2001–2020). Forests. 2026; 17(1):15. https://doi.org/10.3390/f17010015

Chicago/Turabian Style

Guan, Yifei, Xingfang Pei, Long Chen, Huiying Chen, Zhenhua Zhou, Guanjun Liu, and Yi Luo. 2026. "Widespread Declining Sensitivity of Chinese Forests to Soil Moisture Under Climate Change (2001–2020)" Forests 17, no. 1: 15. https://doi.org/10.3390/f17010015

APA Style

Guan, Y., Pei, X., Chen, L., Chen, H., Zhou, Z., Liu, G., & Luo, Y. (2026). Widespread Declining Sensitivity of Chinese Forests to Soil Moisture Under Climate Change (2001–2020). Forests, 17(1), 15. https://doi.org/10.3390/f17010015

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