Seasonality of vegetation greenness in Southeast Asia unveiled by geostationary satellite observations

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2025-03-15 Epub Date: 2025-02-13 DOI:10.1016/j.rse.2025.114648
Jiaqi Tian , Xiangzhong Luo , Weile Wang , Liyao Yu , Diane Tan Ting Ng , Kazuhito Ichii , Yao Zhang , Xiaoyang Zhang
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Abstract

Tropical forests in the Amazon are characterized by a dry-season green-up, indicating a light-dominated regime in the seasonal variation of ecosystem functions. Southeast Asia, which hosts some of the most carbon-dense and diverse ecosystems in the world, is also expected to green up in dry seasons, however, recent in-situ evidence suggests otherwise. Here, we utilized high-frequency observations from the Himawari-8 geostationary satellite to examine the seasonality of vegetation greenness across Southeast Asia and to investigate potential factors driving this seasonality. We found that evergreen forests in maritime Southeast Asia green up in dry seasons, which is linked to positive anomaly in incoming radiation, similar to the Amazon forests. However, deciduous forests, croplands, and evergreen forests in continental Southeast Asia tend to green up in wet seasons, which is associated with the changes in climate sensitivities of vegetation greenness between dry and wet seasons. Our study highlights seasonal differences in tropical vegetation across biomes and sheds light on the underlying mechanisms of climate-vegetation interactions in Southeast Asia.
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由地球同步卫星观测揭示的东南亚植被绿度的季节性
亚马逊热带森林的特点是旱季变绿,表明生态系统功能的季节变化是由光主导的。东南亚拥有世界上碳密度最高和最多样化的生态系统,预计在旱季也会变绿,然而,最近的现场证据表明情况并非如此。在这里,我们利用Himawari-8地球同步卫星的高频观测来研究东南亚植被绿色度的季节性,并研究驱动这种季节性的潜在因素。我们发现东南亚沿海地区的常绿森林在旱季变绿,这与入射辐射的正异常有关,类似于亚马逊森林。而东南亚大陆的落叶林、农田和常绿森林在雨季往往会变绿,这与干湿季节植被绿度的气候敏感性变化有关。我们的研究强调了热带植被在生物群系中的季节性差异,并揭示了东南亚气候-植被相互作用的潜在机制。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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