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Seasonal and interannual changes in vegetation activity of tropical forests in Southeast Asia
Zhang, Y (Zhang, Yuan)1; Zhu, ZC (Zhu, Zaichun)1,2; Liu, Z (Liu, Zhuo)1; Zeng, ZZ (Zeng, Zhenzhong)1; Ciais, P (Ciais, Philippe)3; Huang, MT (Huang, Mengtian)1; Liu, YW (Liu, Yongwen)1; Piao, SL (Piao, Shilong)1,2; Piao, SL
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
2016
Volume224Issue:0Pages:1-10
DOI10.1016/j.agrformet.2016.04.009
AbstractTropical vegetation has been suggested to be vulnerable to future climate change. At the regional scale, few studies have focused on the fluctuations of vegetation activity of tropical forests in Southeast Asia, which is an important area of tropical vegetation. Here, we investigated the spatio-temporal variability of vegetation photosynthetic activity in Southeast Asia using three independent satellite-derived Normalized Difference Vegetation Index (NDVI) products (Global Inventory Modeling and Mapping Studies group using data from Advanced Very High Resolution Radiometer (GIMMS AVHRR) NDVI3 g, Systeme Pour l'Observation de la Terre VEGETATION (SPOT-VGT), and MODerate resolution Imaging Spectroradiometer (MODIS)). We also used the recently developed Sun-Induced chlorophyll Fluorescence (SIF) from the Greenhouse gases Observing SATellite (GOSAT), a proxy of actual photosynthesis, as a complement to NDVI. In forests with pronounced wet-dry seasonal cycle (the north and south regions of Southeast Asia), we found consistent relationships between NDVI and climate factors (precipitation, temperature and solar radiation). At the seasonal scale, all of the datasets showed that the NDVI continuously decreased during the dry season, particularly in deciduous forests (DF). Similarly, SIF in the north region also displayed a decreasing trend during the dry season, although the magnitude of the decrease was relatively small compared to that of the NDVI. This result is in contrast to that reported for the Amazon forest where a significant increase in vegetation greenness during the dry season has been observed. During the wet season, different seasonal variations were observed between SIF and the NDVI in the north region. For both evergreen forests (EF) and DF, the maximum SIF was observed in the months with the maximum precipitation, while the maximum NDVI value was observed at the end of the wet season. At the interannual scale, NDVI decrease nonlinearly along drought severity in dry seasons. During wet seasons, the greenness is insensitive to droughts but more related to radiation. Our results demonstrate that forests in Southeast Asia are water-limited during the dry season, indicating a vulnerability to future increase in the intensity of El Nino events and to temperature-driven increases in evapotranspiration. (C) 2016 Elsevier B.V. All rights reserved.
Subject Area普通生物学
WOS IDWOS:000378193200001
Language英语
Indexed BySCI
KeywordTerrestrial Carbon-cycle Chlorophyll Fluorescence Rain-forest Amazon Forests Drought Stress Water-stress Dry Season Climate Mortality Cover
Cooperation Status国际
Department生态
Citation statistics
Cited Times:11[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/7628
Collection图书馆
Corresponding AuthorPiao, SL
Affiliation1.Peking Univ, Coll Urban & Environm Sci, Sinofrench Inst Earth Syst Sci, Beijing 100871, Peoples R China
2.Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Inst Tibetan Plateau Res, Beijing 100085, Peoples R China
3.UMR CEA CNRS, LSCE, CE, Bat 709, F-91191 Gif Sur Yvette, France
Recommended Citation
GB/T 7714
Zhang, Y ,Zhu, ZC ,Liu, Z ,et al. Seasonal and interannual changes in vegetation activity of tropical forests in Southeast Asia[J]. AGRICULTURAL AND FOREST METEOROLOGY,2016,224(0):1-10.
APA Zhang, Y .,Zhu, ZC .,Liu, Z .,Zeng, ZZ .,Ciais, P .,...&Piao, SL.(2016).Seasonal and interannual changes in vegetation activity of tropical forests in Southeast Asia.AGRICULTURAL AND FOREST METEOROLOGY,224(0),1-10.
MLA Zhang, Y ,et al."Seasonal and interannual changes in vegetation activity of tropical forests in Southeast Asia".AGRICULTURAL AND FOREST METEOROLOGY 224.0(2016):1-10.
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