Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system

dc.contributor.authorMota, Mauricio Tavares da [UNESP]
dc.contributor.authorBressane, Adriano [UNESP]
dc.contributor.authorFrutuoso Roveda, Jose Arnaldo [UNESP]
dc.contributor.authorMonteiro Masalskiene Roveda, Sandra Regina [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T16:57:13Z
dc.date.available2020-12-10T16:57:13Z
dc.date.issued2019-04-01
dc.description.abstractA method based on fuzzy modeling was developed for the classification of the stages of a forest succession. The construction of the model considered the criteria established by CONAMA, which define secondary vegetation in the initial, middle, and advanced stages of regeneration of the Atlantic Forest, as guidelines for the management of native vegetation in the state of Sao Paulo. The proposed model was applied for classifying cases reported in the literature, where floristic and phytosociological analysis of the forest structure had been performed employing the judgment of experts. The fuzzy modeling approach provided good agreement with the conclusions of the experts, according to the Kappa index. In conclusion, fuzzy modeling is a promising technique for addressing subjectivity and uncertainty in the classification of successional stages in the Atlantic Forest.en
dc.description.affiliationUniv Estadual Paulista, Ciencias Ambientais, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Ave Engn Francisco Jose Longo 777, BR-12245000 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Ciencias Ambientais, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Ave Engn Francisco Jose Longo 777, BR-12245000 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, Brazil
dc.format.extent519-530
dc.identifierhttp://dx.doi.org/10.5902/1980509830688
dc.identifier.citationCiencia Florestal. Santa Maria: Centro Pesquisas Florestais, Ufsm, v. 29, n. 2, p. 519-530, 2019.
dc.identifier.doi10.5902/1980509830688
dc.identifier.fileS1980-50982019000200519.pdf
dc.identifier.issn0103-9954
dc.identifier.scieloS1980-50982019000200519
dc.identifier.urihttp://hdl.handle.net/11449/194874
dc.identifier.wosWOS:000488284300004
dc.language.isoeng
dc.publisherCentro Pesquisas Florestais, Ufsm
dc.relation.ispartofCiencia Florestal
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectEcological succession
dc.subjectFuzzy logic
dc.subjectAtlantic Forest
dc.titleClassification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert systemen
dc.typeArtigo
dcterms.rightsHolderCentro Pesquisas Florestais, Ufsm

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