A study on the relationship between Atlantic sea surface temperature and Amazonian greenness

被引：11

作者：

Cho, Jaeil ^{[1
]}

Yeh, Pat J. -F. ^{[2
]}

Lee, Yang-Won ^{[3
]}

Kim, Hyungjun ^{[2
]}

Oki, Taikan ^{[2
]}

Kanae, Shinjiro ^{[4
]}

Kim, Wonsik ^{[5
]}

Otsuki, Kyoichi ^{[1
]}

机构：

[1] Kyushu Univ, Fukuoka 8112415, Japan

[2] Univ Tokyo, Inst Ind Sci, Meguro Ku, Tokyo 1538505, Japan

[3] Pukyong Natl Univ, Dept Geoinformat Engn Sci, Pusan 608737, South Korea

[4] Tokyo Inst Technol, Dept Mech & Environm Informat, Meguro Ku, Tokyo 1528552, Japan

[5] Natl Inst Agroenvironm Sci, Tsukuba, Ibaraki 3058604, Japan

来源：

ECOLOGICAL INFORMATICS | 2010年 / 5卷 / 05期

基金：

日本学术振兴会;

关键词：

Amazonia NDVI; Atlantic SST; Climate change; TROPICAL ATLANTIC; VEGETATION INDEX; LAND-COVER; CLIMATE; RAINFALL; CARBON; VARIABILITY; FORESTS; AFRICA; EMERGENCE;

D O I：

10.1016/j.ecoinf.2010.05.005

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

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

引用

页码：367 / 378

页数：12

共 48 条

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