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@Article{RibeiroSCLMDGO:2016:LaCoCh,
               author = "Ribeiro, Kelly and Sousa Neto, Er{\'a}clito Rodrigues de and 
                         Carvalho Junior, Jo{\~a}o Andrade de and Lima, Jos{\'e} Romualdo 
                         de Sousa and Menezes, R{\^o}mulo Sim{\~o}es Cezar and Duarte 
                         Neto, Paulo Jos{\'e} and Guerra, Glauce da Silva and Ometto, Jean 
                         Pierre Henry Balbaud",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual 
                         Paulista (UNESP)} and {Universidade Federal Rural de Pernambuco 
                         (UFRPE)} and {Universidade Federal de Pernambuco (UFPE)} and 
                         {Universidade Federal Rural de Pernambuco (UFRPE)} and 
                         {Universidade Federal Rural de Pernambuco (UFRPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Land cover changes and greenhouse gas emissions in two different 
                         soil covers in the Brazilian Caatinga",
              journal = "Science of the Total Environment",
                 year = "2016",
               volume = "571",
                pages = "1048--1057",
                month = "Nov.",
             keywords = "Caatinga, Pasture, Greenhouse gases (GHG), Land use/cover 
                         changes.",
             abstract = "The Caatinga biome covers an area of 844,453 km(2) and has 
                         enormous endemic biodiversity, with unique characteristics that 
                         make it an exclusive Brazilian biome. It falls within the earth's 
                         tropical zone and is one of the several important ecoregions of 
                         Brazil. This biome undergoes natural lengthy periods of drought 
                         that cause losses in crop and livestock productivity, having a 
                         severe impact on the population. Due to the vulnerability of this 
                         ecosystem to climate change, livestock has emerged as the main 
                         livelihood of the rural population, being the precursor of the 
                         replacement of native vegetation by grazing areas. This study 
                         aimed to measure GHG emissions from two different soil covers: 
                         native forest (Caatinga) and pasture in the municipality of Sao 
                         Joao, Pernambuco State, in the years 2013 and 2014. GHG 
                         measurements were taken by using static chamber techniques in both 
                         soil covers. According to a previous search, so far, this is the 
                         first study measuring GHG emissions using the static chamber in 
                         the Caatinga biome. N2O emissions ranged from -1.0 to 4.2 mg m(-2) 
                         d(-1) and -1.22 to 3.4 mg m(-2) d(-1) in the pasture and Caatinga, 
                         respectively, and they did not significantly differ from each 
                         other. Emissions were significantly higher during dry seasons. 
                         Carbon dioxide ranged from -1.1 to 14.1 and 1.2 to 15.8 g m(-2) 
                         d(-1) in the pasture and Caatinga, respectively. CO2 emissions 
                         were higher in the Caatinga in 2013, and they were significantly 
                         influenced by soil temperature, showing an inverse relation. 
                         Methane emission ranged from 6.6 to 6.8 and -6.0 to 4.8 mg m(-2) 
                         d(-1) in the pasture and Caatinga, respectively, and was 
                         significantly higher only in the Caatinga in the rainy season of 
                         2014. Soil gas fluxes seemed to be influenced by climatic and 
                         edaphic conditions as well as by soil cover in the Caatinga 
                         biome.",
                  doi = "10.1016/j.scitotenv.2016.07.095",
                  url = "http://dx.doi.org/10.1016/j.scitotenv.2016.07.095",
                 issn = "0048-9697",
             language = "en",
           targetfile = "ribeiro_land.pdf",
        urlaccessdate = "22 jan. 2021"
}


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