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      Spatial Distribution of Aboveground Carbon Stock of the Arboreal Vegetation in Brazilian Biomes of Savanna, Atlantic Forest and Semi-Arid Woodland


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          The objective of this study was to map the spatial distribution of aboveground carbon stock (using Regression-kriging) of arboreal plants in the Atlantic Forest, Semi-arid woodland, and Savanna Biomes in Minas Gerais State, southeastern Brazil. The database used in this study was obtained from 163 forest fragments, totaling 4,146 plots of 1,000 m 2 distributed in these Biomes. A geographical model for carbon stock estimation was parameterized as a function of Biome, latitude and altitude. This model was applied over the samples and the residuals generated were mapped based on geostatistical procedures, selecting the exponential semivariogram theoretical model for conducting ordinary Kriging. The aboveground carbon stock was found to have a greater concentration in the north of the State, where the largest contingent of native vegetation is located, mainly the Savanna Biome, with Wooded Savanna and Shrub Savanna phytophysiognomes. The largest weighted averages of carbon stock per hectare were found in the south-center region (48.6 Mg/ha) and in the southern part of the eastern region (48.4 Mg/ha) of Minas Gerais State, due to the greatest predominance of Atlantic Forest Biome forest fragments. The smallest weighted averages per hectare were found in the central (21.2 Mg/ha), northern (20.4 Mg/ha), and northwestern (20.7 Mg/ha) regions of Minas Gerais State, where Savanna Biome fragments are predominant, in the phytophysiognomes Wooded Savanna and Shrub Savanna.

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          Author and article information

          Role: Academic Editor
          PLoS One
          PLoS ONE
          PLoS ONE
          Public Library of Science (San Francisco, CA USA )
          12 June 2015
          : 10
          : 6
          [1 ]Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, North Carolina, United States of America
          [2 ]Department of Forest Science, Federal University of Lavras, Lavras, Minas Gerais, Brazil
          [3 ]Department of Engineering, Federal University of Lavras, Lavras, Minas Gerais, Brazil
          University of California Davis, UNITED STATES
          Author notes

          Competing Interests: The authors have declared that no competing interests exist.

          Conceived and designed the experiments: HFS JRSS CRM JMM ACFF. Performed the experiments: HFS JRSS CRM JMM ACFF. Analyzed the data: HFS JRSS CRM JMM ACFF. Contributed reagents/materials/analysis tools: HFS JRSS CRM JMM ACFF. Wrote the paper: HFS JRSS CRM JMM ACFF.


          This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

          Page count
          Figures: 7, Tables: 5, Pages: 20
          The authors are grateful to the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), the Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), and the Instituto Estadual de Florestas (IEF) for supporting this work. These funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
          Research Article
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          Some legal access restrictions apply to the data underlying the findings. All the carbon data used in this study comes from the partnership between State Institute of Forests (IEF) and Federal University of Lavras (UFLA). This partnership enabled the performing of the project "Forest Inventory of Minas Gerais", with the agreement signed between IEF and UFLA of number 076/2003 UFLA - IEF, process number 23090/000052/2003-51. All information related to the project, such as publications and average timber volume for the Minas Gerais State, can be found at http://www.inventarioflorestal.mg.gov.br/. IEF holds the data and data are available upon request by contacting Dr José Roberto Scolforo (email jscolforo@ 123456ufla.dcf.br ).



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