Unraveling the Spatiotemporal Dynamics of Rubber Phenology in Hainan Island, China: A Multi-Sensor Remote Sensing and Climate Drivers Analysis

文献类型： 外文期刊

第一作者： Lai, Hongyan

作者： Lai, Hongyan;Chen, Bangqian;Wang, Guizhen;Wang, Xincheng;Lan, Guoyu;Wu, Zhixiang;Jia, Kai;Yin, Xiong;Wang, Xincheng;Yun, Ting;Kou, Weili

作者机构：

关键词： Hainan island; rubber plantations; seasonal amplitude method; GEE; phenology change; driver factor

期刊名称：REMOTE SENSING （ 影响因子：4.1； 五年影响因子：4.8 ）

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年卷期： 2025 年 17 卷 14 期

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收录情况： SCI

摘要： Rubber Tree (Hevea brasiliensis) phenology critically influences tropical plantation productivity and carbon cycling, yet topography and climate impacts remain unclear. By integrating multi-sensor remote sensing (2001-2020) and Google Earth Engine, this study analyzed spatiotemporal dynamics in Hainan Island, China. Results reveal that both the start (SOS occurred between early and late March: day of year, DOY 60-81) and end (EOS occurred late January to early February: DOY 392-406, counted from the previous year) of the growing season exhibit progressive delays from the southeast to northwest, yielding a 10-11 month growing season length (LOS). Significantly, LOS extended by 4.9 days per decade (p < 0.01), despite no significant trends in SOS advancement (-1.1 days per decade) or EOS delay (+3.7 days per decade). Topographic modulation was evident: the SOS was delayed by 0.27 days per 100 m elevation rise (p < 0.01), while the EOS was delayed by 0.07 days per 1 degrees slope increase (p < 0.01). Climatically, a 100 mm precipitation increase advanced SOS/EOS by approximately 1.0 day (p < 0.05), preseasonally, a 1 degrees C February temperature rise advanced the SOS and EOS by 0.49 and 0.53 days, respectively, and a 100 mm January precipitation increase accelerated EOS by 2.7 days (p < 0.01). These findings advance our mechanistic understanding of rubber phenological responses to climate and topographic gradients, providing actionable insights for sustainable plantation management and tropical forest ecosystem adaptation under changing climatic conditions.

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