文献类型：期刊文献

英文题名：Environmental contingency of forest-cloud interactions: Contrasting atmospheric enhancement and suppression mechanisms across Chinese climate gradients

作者：Yang, Zhaohui[1] Zhou, Zeyu[2] Sharma, Ram P.[3] Zhang, Huiru[2]

第一作者：Yang, Zhaohui

通信作者：Zhang, HR[1]

机构：[1]Shanxi Agr Univ, Sch Forestry, Taiyuan 030031, Peoples R China;[2]Chinese Acad Forestry, Expt Ctr Forestry North China, Beijing 102300, Peoples R China;[3]Tribhuvan Univ, Inst Forestry, Kathmandu 44600, Nepal

年份：2025

卷号：22

外文期刊名：TREES FORESTS AND PEOPLE

收录：EI(收录号：20250348093);Scopus(收录号：2-s2.0-105019964822);WOS:【ESCI(收录号:WOS:001608130800002)】；

基金：Funding This research was funded by the Shanxi Province Basic Research Program, Youth Science Research Project (Grant No. 202203021212425) .

语种：英文

外文关键词：Forest-cloud interactions; Environmental context dependency; Moisture limitation; Atmospheric saturation; Structural equation modeling

摘要：Forest-cloud interactions exhibit striking regional variations that challenge universal assumptions about forest atmospheric services. Using satellite data (2000-2022) and multiple analytical approaches including correlation analysis, propensity score matching, structural equation modeling, and machine learning, we investigated forestcloud relationships across moisture-limited Northeast China and moisture-abundant Central China. Northeast China demonstrated strong positive forest-cloud correlations (r = 0.626, p < 0.001), while Central China showed weak negative correlations (r=-0.040, p < 0.05). Causal analysis revealed forests enhance cloud formation by 2.24 percentage points in moisture-limited environments but suppress it by 1.78 percentage points in humid conditions. Machine learning confirmed forest cover as the dominant predictor in Northeast China (feature importance=0.39) versus precipitation in Central China (0.32). These findings demonstrate that environmental context fundamentally determines forest-cloud interactions, with implications for climate mitigation strategies requiring region-specific approaches.