The growth of tropical rainforest in Amazon is critically vulnerable to the change in rainfall and radiation than in temperature, and that amount of rainfall and cloudiness in the northeast region of South American is strongly affected by the Atlantic sea surface temperature (SST) Results from recent model experiments for future climate projection have indicated a reduction of Amazonian greenness by a weakening of tropical vapor circulation system related with the change in SST Therefore, the observational investigation of the relations between the Amazon greenness and Atlantic SST is fundamental to understand the response of Amazonian tropical forest to climate change. In this study, the effect of Atlantic SST on the spatial and temporal change of the Normalized Difference Vegetation Index (NDVI) in the Amazonian region is examined by using satellite remote sensing data for the period of 1981-2001. A strong correlation between NDVI and SST is found for certain regions in Amazon during the periods of 1980s and 1990s, respectively. In addition, strong correlations with NDVI lagging behind SST for two months and one year, respectively, are also identified from the interannual December-to-February (rain season) variations during 1981-2001. Despite these findings, the mechanisms behind the identified correlation remain unclear Further analyses using observed precipitation and radiation data are required to understand the potential changes of Amazonian rainforest in the context of global warming (C) 2010 Elsevier B.V. All rights reserved
机构:
Chinese Acad Meteorol Sci, China Meteorol Adm, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, China Meteorol Adm, State Key Lab Severe Weather, Beijing, Peoples R China
Xu, Jing
Wang, Yuqing
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Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA
Univ Hawaii Manoa, Dept Atmospher Sci, Honolulu, HI 96822 USAChinese Acad Meteorol Sci, China Meteorol Adm, State Key Lab Severe Weather, Beijing, Peoples R China
Wang, Yuqing
Tan, Zhe-Min
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Nanjing Univ, Key Lab Mesoscale Severe Weather, Minist Educ, Nanjing, Jiangsu, Peoples R China
Nanjing Univ, Sch Atmospher Sci, Nanjing, Jiangsu, Peoples R ChinaChinese Acad Meteorol Sci, China Meteorol Adm, State Key Lab Severe Weather, Beijing, Peoples R China
机构:
Univ Syiah Kuala, Grad Sch Math & Appl Sci, Banda Aceh 23111, Indonesia
Univ Syiah Kuala, Dept Math, Banda Aceh 23111, IndonesiaUniv Syiah Kuala, Grad Sch Math & Appl Sci, Banda Aceh 23111, Indonesia
Hidayat, M. N.
Wafdan, R.
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Univ Syiah Kuala, Fac Marine & Fisheries, Dept Marine Sci, Banda Aceh 23111, IndonesiaUniv Syiah Kuala, Grad Sch Math & Appl Sci, Banda Aceh 23111, Indonesia
Wafdan, R.
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Ramli, M.
Muchlisin, Z. A.
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Univ Syiah Kuala, Grad Sch Math & Appl Sci, Banda Aceh 23111, Indonesia
Univ Syiah Kuala, Fac Marine & Fisheries, Dept Aquaculture, Banda Aceh 23111, Indonesia
Univ Syiah Kuala, Res Ctr Marine Sci & Fisheries, Banda Aceh 23111, IndonesiaUniv Syiah Kuala, Grad Sch Math & Appl Sci, Banda Aceh 23111, Indonesia
Muchlisin, Z. A.
Rizal, S.
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Univ Syiah Kuala, Grad Sch Math & Appl Sci, Banda Aceh 23111, Indonesia
Univ Syiah Kuala, Fac Marine & Fisheries, Dept Marine Sci, Banda Aceh 23111, Indonesia
Univ Syiah Kuala, Res Ctr Marine Sci & Fisheries, Banda Aceh 23111, IndonesiaUniv Syiah Kuala, Grad Sch Math & Appl Sci, Banda Aceh 23111, Indonesia
Rizal, S.
GLOBAL JOURNAL OF ENVIRONMENTAL SCIENCE AND MANAGEMENT-GJESM,
2023,
9
(03):
: 389
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