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@Article{NeeffLucSanBroFre:2006:EmEs,
               author = "Neeff, Till and Lucas, Richard M. and Santos, Jo{\~a}o Roberto 
                         dos and Brondizio, Eduardo S. and Freitas, Corina Costa",
          affiliation = "Biometry Department, University of Freiburg, Freiburg Breisgau, 
                         Germany and Institute of Geography and Earth Sciences, University 
                         of Wales, Aberystwyth, Ceredigion SY23 3DB, Wales, UK; and 
                         Institute of Geography and Earth Sciences, University of Wales, 
                         Wales, UK and Anthropological Center for Training and Research on 
                         Global Environmental Change (ACT), Indiana University, Student 
                         Building 331, Bloomington, IN 47405, USA and Anthropological 
                         Center for Training and Research on Global Environmental Change 
                         (ACT), Indiana University, Bloomington, USA",
                title = "Area and age of secondary forests in Brazilian Amazonia 1978-2002: 
                         an empirical estimate",
              journal = "Agriculture, Ecosystems and Environment",
                 year = "2006",
               volume = "9",
                pages = "DOI: 10.1007/s10021--006--0001--9",
             keywords = "SENSORIAMENTO REMOTO APLICADO {\`A} ECOSSISTEMAS TERRESTRES, 
                         Amaz{\^o}nia (Regi{\~a}o), uso da terra, floresta, area-age 
                         distribution, forest, age, land-use model, secondary forest, 
                         succession.",
             abstract = "In quantifying the carbon budget of the Amazon region, temporal 
                         estimates of the extent and age of regenerating tropical forests 
                         are fundamental. However, retrieving such information from remote- 
                         sensing data is difficult, largely because of spectral 
                         similarities between different successional stages and variations 
                         in the reflectance of forests following different pathways of 
                         regeneration. In this study, secondary-forest dynamics in 
                         Brazilian Amazonia were modeled for the 19782002 period to 
                         determine area and age on a grid basis. We modeled the area, age, 
                         and age class distribution of secondary forests using empirical 
                         relationships with the percentage of remaining primary forest, as 
                         determined from large-area remote-sensing campaigns (the 
                         Pathfinder and Prodes projects). The statistical models were 
                         calibrated using detailed maps of secondary-forest age generated 
                         for seven sites in the Brazilian Legal Amazon. The areaage 
                         distribution was then specified from mean age by a distribution 
                         assumption. Over the period 19782002, secondary-forest area was 
                         shown to have increased from 29,000 to 161,000 km2 (that is, by a 
                         factor of 5). The mean age increased from 4.4 to 4.8 years. We 
                         generated a time series of secondary-forest area fractions and 
                         successional stages that provides wall-to-wall coverage of the 
                         Brazilian Amazon at a spatial resolution of 0.1 decimal degrees 
                         (approximately 11 km). Validation against reference data yielded 
                         root mean squared errors of 8% of the total area for estimate of 
                         secondary-forest area and 2.4 years for mean secondary-forest age. 
                         Using this approach, we provide the first published update on the 
                         state of secondary forests in Amazonia since the early 1990s and a 
                         time series of secondary-forest area over the 25-year period.",
           copyholder = "SID/SCD",
                 issn = "0167-8809",
             language = "en",
           targetfile = "corinaartigo.pdf",
        urlaccessdate = "24 jan. 2021"
}


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