Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
dc.contributor.author | Mota, Mauricio Tavares da [UNESP] | |
dc.contributor.author | Bressane, Adriano [UNESP] | |
dc.contributor.author | Frutuoso Roveda, Jose Arnaldo [UNESP] | |
dc.contributor.author | Monteiro Masalskiene Roveda, Sandra Regina [UNESP] | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2020-12-10T16:57:13Z | |
dc.date.available | 2020-12-10T16:57:13Z | |
dc.date.issued | 2019-04-01 | |
dc.description.abstract | A 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.affiliation | Univ Estadual Paulista, Ciencias Ambientais, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, Brazil | |
dc.description.affiliation | Univ Estadual Paulista, Ave Engn Francisco Jose Longo 777, BR-12245000 Sao Jose Dos Campos, SP, Brazil | |
dc.description.affiliation | Univ Estadual Paulista, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, Brazil | |
dc.description.affiliationUnesp | Univ Estadual Paulista, Ciencias Ambientais, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, Brazil | |
dc.description.affiliationUnesp | Univ Estadual Paulista, Ave Engn Francisco Jose Longo 777, BR-12245000 Sao Jose Dos Campos, SP, Brazil | |
dc.description.affiliationUnesp | Univ Estadual Paulista, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, Brazil | |
dc.format.extent | 519-530 | |
dc.identifier | http://dx.doi.org/10.5902/1980509830688 | |
dc.identifier.citation | Ciencia Florestal. Santa Maria: Centro Pesquisas Florestais, Ufsm, v. 29, n. 2, p. 519-530, 2019. | |
dc.identifier.doi | 10.5902/1980509830688 | |
dc.identifier.file | S1980-50982019000200519.pdf | |
dc.identifier.issn | 0103-9954 | |
dc.identifier.scielo | S1980-50982019000200519 | |
dc.identifier.uri | http://hdl.handle.net/11449/194874 | |
dc.identifier.wos | WOS:000488284300004 | |
dc.language.iso | eng | |
dc.publisher | Centro Pesquisas Florestais, Ufsm | |
dc.relation.ispartof | Ciencia Florestal | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Web of Science | |
dc.subject | Ecological succession | |
dc.subject | Fuzzy logic | |
dc.subject | Atlantic Forest | |
dc.title | Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system | en |
dc.type | Artigo | |
dcterms.rightsHolder | Centro Pesquisas Florestais, Ufsm |
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