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@Article{BarniManConBarFea:2016:SpDiFo,
               author = "Barni, Paulo Eduardo and Manzi, Antonio Ocimar and Cond{\'e}, 
                         Tiago Monteiro and Barbosa, Reinaldo Imbrozio and Fearnside, 
                         Philip Martin",
          affiliation = "{Universidade Estadual de Roraima (UERR)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Universidade Estadual de 
                         Roraima (UERR)} and {Instituto Nacional de Pesquisas da 
                         Amaz{\^o}nia (INPA)} and {Instituto Nacional de Pesquisas da 
                         Amaz{\^o}nia (INPA)}",
                title = "Spatial distribution of forest biomass in Brazil's state of 
                         Roraima, northern Amazonia",
              journal = "Forest Ecology and Management",
                 year = "2016",
               volume = "377",
                pages = "170--181",
                month = "Oct.",
             keywords = "Carbon stock, Deforestation, Global warming, Greenhouse gas 
                         emissions, Protected areas, REDD.",
             abstract = "Forest biomass is an important variable for calculating carbon 
                         stocks and greenhouse gas emissions from deforestation and forest 
                         fires in Brazilian Amazonia. Its spatial distribution has caused 
                         controversy due to disagreements over the application of different 
                         calculation methodologies. Standardized networks of forest surveys 
                         provide an alternative to solve this problem. This study models 
                         the spatial distribution and original total stock of forest 
                         biomass (Aboveground + Belowground + Fine and coarse litter) in 
                         Brazil's state of Roraima, taking advantage of data from 
                         georeferenced forest surveys in the region. Commercial volume 
                         (bole volume) from surveys was expanded to total biomass. Kriging 
                         techniques were used to model the spatial distribution of biomass 
                         stocks and generate a benchmark map. All results were associated 
                         with phytophysiognomic groups, climatic regions and land uses 
                         (protected areas; agricultural use). We estimate forest in the 
                         state of Roraima to have an original biomass stock of 6.32  109 
                         Mg. Forest biomasses in areas with shorter dry seasons were higher 
                         as compared to forests in regions with longer dry seasons. The 
                         original vegetation in protected areas, independent of 
                         phytophysiognomic group, has higher biomass compared to areas 
                         currently under agricultural use. Protected areas support 65.8% of 
                         Roraima's stock of forest biomass, indicating an important 
                         potential role in REDD projects for conservation of forest carbon. 
                         Information on spatial distribution of biomass stocks at a more 
                         refined scale is needed to reduce uncertainties about the regional 
                         character of carbon pools in Amazonia.",
                  doi = "10.1016/j.foreco.2016.07.010",
                  url = "http://dx.doi.org/10.1016/j.foreco.2016.07.010",
                 issn = "0378-1127",
             language = "en",
           targetfile = "barni_spatial.pdf",
        urlaccessdate = "05 dez. 2020"
}


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