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dc.contributor.authorREATEGUI-BETANCOURT, J. L.
dc.contributor.authorFREITAS, L. J. M. de
dc.contributor.authorREZENDE, A. V.
dc.contributor.authorBRICEÑO, G.
dc.contributor.authorOLIVEIRA, C. M. M. de
dc.contributor.authorGAUI, T. D.
dc.contributor.authorKHAN, S.
dc.contributor.authorFIGUEIREDO, A. E. S.
dc.date.accessioned2025-02-20T17:47:03Z-
dc.date.available2025-02-20T17:47:03Z-
dc.date.created2025-02-20
dc.date.issued2023
dc.identifier.citationFloresta e Ambiente, v. 30, n. 4, e20230011, 2023.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1173101-
dc.descriptionWe compared sampling techniques in a managed native forest in Paragominas, Pará, Brazil. Our goal in this study was to evaluate the feasibility of using Double Sampling (DS) and Sampling with Partial Replacement (SPR), when compared to Continuous Forest Inventory (CFI), to estimate the wood stock for trees with DBH ≥ 20 cm in a managed forest. In our results, DS had the best volume prediction, generating a sampling error of 5.20% (11.48 m³ ha-1) on the second occasion 3.86% (8.78 m³ ha-1). The average volume increment, estimated for the forest in the monitored period (2014-2016) was 6.88 m³ ha-1, with a relative sampling error of 63.09%. Therefore, as an alternative and of low cost, we suggest using DS in successive forest inventories in monitoring areas of forest resources in the Brazilian Amazon.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectManejo florestal
dc.subjectTécnica de amostragem
dc.titleEvaluation of sampling with partial replacement and double sampling in a managed forest in the brazilian Amazon.
dc.typeArtigo de periódico
dc.subject.thesagroInventário Florestal
dc.subject.nalthesaurusForest management
dc.subject.nalthesaurusForest inventory
dc.subject.nalthesaurusAmazonia
riaa.ainfo.id1173101
riaa.ainfo.lastupdate2025-02-20
dc.identifier.doihttps://doi.org/10.1590/2179-8087-FLORAM-2023-0011
dc.contributor.institutionJORGE L. REATEGUI-BETANCOURT, UNIVERSIDADE DE BRASÍLIA; LUCAS JOSE MAZZEI DE FREITAS, CPATU; ALBA VALÉRIA REZENDE, UNIVERSIDADE DE BRASÍLIA; GUIDO BRICEÑO, THE FRENCH NATIONAL CENTRE FOR SCIENTIFIC RESEARCH; CARLOS MAGNO MOREIRA DE OLIVEIRA, UNIVERSIDADE DE BRASÍLIA; TATIANA DIAS GAUI, UNIVERSIDADE DE BRASÍLIA; SALMAN KHAN, THE FRENCH NATIONAL CENTRE FOR SCIENTIFIC RESEARCH; AXA EMANUELLE S. FIGUEIREDO, UNIVERSIDADE DE BRASÍLIA.
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