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    <responseDate>2026-10-15T21:05:28Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/mst4jkw4c3.1</identifier>
                <datestamp>2019-08-20T14:00:11Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Imbrozio Barbosa, Reinaldo</dc:creator>
    <dc:title>Data for decomposition rates and litter stabilization factor in two regions of ecotone forests in northern Brazilian Amazonia: applying the TBI method</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset provides information on decomposition rates (k) and litter stabilization factor (S) for two regions of ecotone forests located in the state of Roraima, northern Brazilian Amazonia: Maracá Ecological Station and Viruá National Park. Both are protected areas managed by Brazilian Government. Each one has a PPBio (Biodiversity Research Program) 25-km2 research grid where 30 permanent plots were systematically dispersed along of the six East-West trails (see grid details at https://ppbio.inpa.gov.br). We took advantage of 15 permanent plots of each research grid to use the tea bag index (TBI) method as sampling reference (see Keuskamp et al., 2003), and applied a specific sampling protocol to the all PPBio grids and modules with permanent plots (see https://ppbio.inpa.gov.br/sites/default/files/2019%20Protocolo%20TBI-2019.04.02_eng_0.pdf). The TBI method uses two distinct and standardized commercial teas from Lipton: &quot;green tea&quot; (less recalcitrant) and &quot;rooibos tea&quot; (more recalcitrant). We used the commercial version defined as 2.0 (non-woven bags / polypropylene mesh). All bags are tetrahedral of edge length 5 cm and a 0.25 mm mesh. The dataset is presented in three files: (i) study_sites - a map indicating the geographical location of the two PPBio research grids and the permanent plots used in the study; (ii) decomp_maraca - decomposition rates (k) and litter stabilization factor (S) for permanent plots in Maracá, including identification of all plots and their geographical location (UTM and altitude - m  a.s.l.) as specified in the metadata of the research grids (see https://ppbiodata.inpa.gov.br/metacatui/); (iii) decomp_virua - decomposition rates (k) and litter stabilization factor (S) for permanent plots in Viruá, including identification of all plots and their geographical location (UTM and altitude - m  a.s.l.) as specified in the metadata of the research grids (see https://ppbiodata.inpa.gov.br/metacatui/). This dataset was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Brazil) through the PELD Program (CNPq/CAPES/FAPs/BC-Fundo Newton; Proc. n. 441575/2016-1). The CNPq also provided a fellowship for R.I. Barbosa (CNPq 304204/2015-3). Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio) provided authorization for the study (SISBIO n. 64720-1).</dc:description>
    <dc:subject>Terrestrial Ecosystems</dc:subject>
    <dc:subject>Decomposition Analysis</dc:subject>
    <dc:subject>Environmental Dynamics</dc:subject>
    <dc:contributor>Silva, Jafet Vieira</dc:contributor>
    <dc:contributor>Citó, Arthur Camurça</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/mst4jkw4c3.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/mst4jkw4c3.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/mst4jkw4c3</dc:relation>
    <dc:date>2019-08-20T14:00:11Z</dc:date>
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