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A study on the relationship between Atlantic sea surface temperature and Amazonian greenness
Authors:Jaeil Cho  Pat J.-F. Yeh  Yang-Won Lee  Hyungjun Kim  Taikan Oki  Shinjiro Kanae  Wonsik Kim  Kyoichi Otsuki
Affiliation:1. Research Technician, Department of Biological Sciences, Idaho State University, Pocatello, ID 83209, USA;2. Professor, Department of Biological Sciences, Idaho State University, Pocatello, ID 83209, USA;3. Research Ecologist, USGS Forest and Rangeland Ecosystem Science Center, Snake River Field Station, Boise, ID 83706, USA;1. Shapotou Desert Research and Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. College of Earth Environmental Sciences, Lanzhou University, Lanzhou 730000, China;1. Laboratorio de Geoarqueología, Facultad de Ciencias Naturales e IML, Universidad Nacional de Tucumán, Argentina;2. CONICET, Argentina;3. Departamento de Geografía y Ordenación del Territorio and IUCA, Universidad de Zaragoza, Spain.
Abstract: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.
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