@Article{RangelPinagéBLGKSOKFH:2022:FoStSo,
               author = "Rangel Pinag{\'e}, Ekena and Bell, David M. and Longo, Marcos and 
                         Gao, Sicog and Keller, Michael and Silva, Carlos A. and Ometto, 
                         Jean Pierre Henry Balbaud and K{\"o}hler, Philipp and 
                         Frankenberg, Christian and Huete, Alfredo",
          affiliation = "{University of Technology Sydney} and {USDA Forest Service} and 
                         {California Institute of Technology} and {University of Canberra} 
                         and {California Institute of Technology} and {University of 
                         Florida} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {California Institute of Technology} and {California Institute 
                         of Technology} and {University of Technology Sydney}",
                title = "Forest structure and solar-induced fluorescence across intact and 
                         degraded forests in the Amazon",
              journal = "Remote Sensing of Environment",
                 year = "2022",
               volume = "274",
                pages = "e112998",
                month = "June",
             keywords = "Amazon, Forest degradation, Forest fires, Forest structure, 
                         Selective logging, Solar-induced chlorophyll fluorescence.",
             abstract = "Tropical forest degradation (e.g., anthropogenic disturbances such 
                         as selective logging and fires) alters forest structure and 
                         function and influences the forest's carbon sink. In this study, 
                         we explored structure-function relationships across a variety of 
                         degradation levels in the southern Brazilian Amazon by 1) 
                         investigating how forest structural properties vary as a function 
                         of degradation history using airborne lidar data; 2) assessing the 
                         effects of degradation on solar-induced chlorophyll fluorescence 
                         (SIF) seasonality using TROPOMI data; and 3) quantifying the 
                         contribution of structural variables to SIF using multiple 
                         regression models with stepwise selection of lidar metrics. Forest 
                         degradation history was obtained through Landsat time-series 
                         classification. We found that fire, logging, and time since 
                         disturbance were major determinants of forest structure, and that 
                         forests affected by fires experienced larger variability in leaf 
                         area index (LAI), canopy height and vertical structure relative to 
                         logged and intact forests. Moreover, only recently burned forests 
                         showed significantly depressed SIF during the dry season compared 
                         to intact forests. Canopy height and the vertical distribution of 
                         foliage were the best predictors of SIF. Unexpectedly, we found 
                         that wet-season SIF was higher in active regenerating forests (~ 4 
                         years after fires or logging) compared with intact forests, 
                         despite lower LAI. Our findings help to elucidate the mechanisms 
                         of carbon accumulation in anthropogenically disturbed tropical 
                         forests and indicate that they can capture large amounts of carbon 
                         while recovering.",
                  doi = "10.1016/j.rse.2022.112998",
                  url = "http://dx.doi.org/10.1016/j.rse.2022.112998",
                 issn = "0034-4257",
             language = "en",
           targetfile = "pinage_2022_forest.pdf",
        urlaccessdate = "25 jun. 2024"
}