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@Article{AndersonMaArLaArBaPh:2010:ReSeDe,
               author = "Anderson, Liana O. and Malhi, Yadvinder and Arag{\~a}o, Luiz E. 
                         O. C. and Ladle, Richard and Arai, Egidio and Barbier, Nicolas and 
                         Phillips, Oliver",
          affiliation = "Univ Oxford, Environm Change Inst, Sch Geog \& Environm, Oxford 
                         OX1 3QY, England and Univ Oxford, Environm Change Inst, Sch Geog 
                         \& Environm, Oxford OX1 3QY, England and Univ Exeter, Sch Geog, 
                         Exeter EX4 4RJ, Devon England and Univ Oxford, Sch Geog \& 
                         Environm, Oxford OX1 3QY, England. Univ Fed Vicosa, Dept Agr \& 
                         Environm Engn, Vicosa, MG Brazil and {} and IRD UMR Bot \& 
                         Bioinformat Architecture Plantes AM, F-34398 Montpellier 05, 
                         France and Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire 
                         England",
                title = "Remote sensing detection of droughts in Amazonian forest 
                         canopies",
              journal = "New Phytologist",
                 year = "2010",
               volume = "187",
               number = "3",
                pages = "733--750",
             keywords = "rain, water, climate change, data set, drought, fieldwork, forest 
                         inventory, MODIS, mortality, phenology, photosynthesis, rainfall, 
                         remote sensing, spatiotemporal analysis, tropical forest, 
                         vegetation index, article, Brazil, drought, physiology, plant 
                         leaf, season, sunlight, telecommunication, time, tree, physiology, 
                         plant leaf, tree, Brazil, Droughts, Plant Leaves, Rain, Satellite 
                         Communications, Seasons, Sunlight, Time Factors, Trees, Water, 
                         Amazonia, Brazil, Droughts, Plant Leaves, Rain, Satellite 
                         Communications, Seasons, Sunlight, Time Factors, Trees, Water.",
             abstract = "Remote sensing data are a key tool to assess large forested areas, 
                         where limitations such as accessibility and lack of field 
                         measurements are prevalent. Here, we have analysed datasets from 
                         moderate resolution imaging spectroradiometer (MODIS) satellite 
                         measurements and field data to assess the impacts of the 2005 
                         drought in Amazonia. We combined vegetation indices (VI) and 
                         climatological variables to evaluate the spatiotemporal patterns 
                         associated with the 2005 drought, and explore the relationships 
                         between remotely-sensed indices and forest inventory data on tree 
                         mortality. There were differences in results based on c4 and c5 
                         MODIS products. C5 VI showed no spatial relationship with rainfall 
                         or aerosol optical depth; however, distinct regions responded 
                         significantly to the increased radiation in 2005. The increase in 
                         the Enhanced VI (EVI) during 2005 showed a significant positive 
                         relationship (P < 0.07) with the increase of tree mortality. By 
                         contrast, the normalized difference water index (NDWI) exhibited a 
                         significant negative relationship (P < 0.09) with tree mortality. 
                         Previous studies have suggested that the increase in EVI during 
                         the 2005 drought was associated with a positive response of forest 
                         photosynthesis to changes in the radiation income. We discuss the 
                         evidence that this increase could be related to structural changes 
                         in the canopy.",
                  doi = "10.1111/j.1469-8137.2010.03355.x",
                  url = "http://dx.doi.org/10.1111/j.1469-8137.2010.03355.x",
                 issn = "0028-646X",
             language = "en",
           targetfile = "anderson.htm",
        urlaccessdate = "22 jan. 2021"
}


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