17
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      SPATIALIZATION OF FRACTIONS OF ORGANIC MATTER IN SOIL IN AN AGROFORESTRY SYSTEM IN THE ATLANTIC FOREST, BRAZIL Translated title: ESPACIALIZAÇÃO DAS FRAÇÕES DA MATÉRIA ORGÂNICA DO SOLO SOB UM SISTEMA AGROFLORESTAL, NA MATA ATLÂNTICA, BRASIL

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          ABSTRACT This study aimed to spatialize fractions of organic matter of soil in an agroforestry system (AFS) located in the Atlantic Forest in Brazil. Thirty-one soil samples were collected at depths of 0-10, 10-20 and 20-40 cm from georeferenced collection points. We determined total organic carbon (TOC), particulate carbon (COp), carbon associated with clay and silt (COam), carbon content in the fulvic acid fraction (C-FAF), humic acid fraction (C-HAF) and humin fraction (C-HUM). Semivariogram analysis and model adjustment were carried out using ArcGIS 10.2 software. Subsequently, spatial interpolation was performed using Ordinary Kriging. We observed spatial dependence for all variables except for TOC and COp at the 0-10 cm depth, which presented a pure nugget effect. It was possible to observe modifications in the distribution of humic substances in the study area. The results from this study are similar to those of other studies conducted in naive areas in the Atlantic Forest, demonstrating the benefits of using the agroforestry system.

          Translated abstract

          RESUMO Este estudo teve como objetivo espacializar as frações da matéria orgânica do solo em um sistema agroflorestal (SAF) localizado na Mata Atlântica. Foram coletadas trinta e uma amostras de terra nas profundidades de 0-10, 10-20 e 20-40 cm, sendo cada ponto georeferenciado. Foram determinados os teores de carbono orgânico total (COT), carbono particulado (COp), carbono associado a argila e silte (COam), teor de carbono na fração de ácido fúlvico (C-FAF), fração de ácido húmico (C-FAH) e fração de humina (C-HUM). A análise dos semivariogramas e o ajuste do modelo foram realizados utilizando o software ArcGIS 10.2. Posteriormente foi realizada a interpolação espacial através de Krigagem Ordinária. Foi observada dependência espacial para todas as variáveis, com exceção do COT e COp na profundidade de 0-10 cm, visto que apresentaram efeito pepita puro. Foram verificadas modificações na distribuição das substâncias húmicas na área de estudo. Os resultados deste estudo são semelhantes aos de outros realizados em áreas de Mata Atlântica, demonstrando os benefícios do uso do sistema agroflorestal.

          Related collections

          Most cited references44

          • Record: found
          • Abstract: not found
          • Article: not found

          Some Comments on the Evaluation of Model Performance

            Bookmark
            • Record: found
            • Abstract: not found
            • Book: not found

            Sistema brasileiro de classificação de solos

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Agroforestry for ecosystem services and environmental benefits: an overview

              Shibu Jose (2009)
                Bookmark

                Author and article information

                Journal
                cerne
                CERNE
                CERNE
                UFLA - Universidade Federal de Lavras (Lavras, MG, Brazil )
                0104-7760
                2317-6342
                June 2017
                : 23
                : 2
                : 249-256
                Affiliations
                [1] Seropédica Rio de Janeiro orgnameUniversidade Federal Rural do Rio de Janeiro Brazil
                Article
                S0104-77602017000200249 S0104-7760(17)02300200249
                10.1590/01047760201723022318
                c6ad39fb-ca7a-4b70-b080-faaf5328d2fb

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 28 February 2017
                : 27 May 2017
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 45, Pages: 8
                Product

                SciELO Brazil

                Categories
                Articles

                Fração lábil,Labile fraction,Soil quality indicators,Geostatistics,Humic substances,Indicadores de qualidade do solo,Geoestatística,Substâncias húmicas

                Comments

                Comment on this article

                scite_

                Similar content54

                Cited by1

                Most referenced authors870