@Article{SouzaMoPaAgWeBo:2022:AsDrRe,
               author = "Souza, Ranieli dos Anjos de and Moura, Valdir and Paloschi, Rennan 
                         Andres and Aguiar, Renata Gon{\c{c}}alves and Webler, Alberto 
                         Dresch and Borma, Laura de Simone",
          affiliation = "Instituto Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e 
                         Tecnologia do Estado de Rondonia (IFRO) and Instituto Federal de 
                         Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Estado de 
                         Rondonia (IFRO) and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Universidade Federal de Rondonia (UNIR)} and 
                         {Universidade Federal de Rondonia (UNIR)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)}",
                title = "Assessing Drought Response in the Southwestern Amazon Forest by 
                         Remote Sensing and In Situ Measurements",
              journal = "Remote Sensing",
                 year = "2022",
               volume = "14",
               number = "7",
                pages = "e1733",
                month = "Apr.",
             keywords = "greening, browning, stem growthl, itterfall, leaf flush, 
                         functional traits, terra firme forest, MAIAC.",
             abstract = "Long-term meteorological analyzes suggest an increase in air 
                         temperature and a decrease in rainfall over the Amazon biome. The 
                         effect of these climate changes on the forest remains unresolved, 
                         because field observations on functional traits are sparse in time 
                         and space, and the results from remote sensing analyses are 
                         divergent. Then, we analyzed the drought response in a 'terra 
                         firme' forest fragment in the southwestern Amazonia, during an 
                         extreme drought event influenced by ENSO episode (2015/2017), 
                         focusing on stem growth, litter production, functional traits and 
                         forest canopy dynamics. We use the Moderate Resolution Imaging 
                         Spectroradiometer (MODIS), corrected by Multi-Angle Implementation 
                         of Atmospheric Correction (MAIAC) to generate the enhanced 
                         vegetation index (EVI) and green chromatic coordinate (Gcc) 
                         vegetation indices. We monitor stem growth and measure the 
                         functional traits of trees in situ, such as the potential at which 
                         the plant loses 50% of hydraulic conductivity (P-50), turgor loss 
                         point (pi TLP), hydraulic safety margin (HSM) and isohydricity. 
                         Our results suggest that: (a) during the dry season, there is a 
                         smooth reduction in EVI values (browning) and an increase in the 
                         wet season (greening); (b) in the dry season, leaf flush occurs, 
                         when the water table still has a quota at the limit of the root 
                         zone; (c) the forest showed moderate resistance to drought, with 
                         water as the primary limiting factor, and the thickest trees were 
                         the most resistant; and (d) a decline in stem growth post-El-Nino 
                         2015/2016 was observed, suggesting that the persistence of 
                         negative rainfall anomalies may be as critical to the forest as 
                         the drought episode itself.",
                  doi = "10.3390/rs14071733",
                  url = "http://dx.doi.org/10.3390/rs14071733",
                 issn = "2072-4292",
             language = "en",
           targetfile = "remotesensing-14-01733.pdf",
        urlaccessdate = "27 abr. 2024"
}