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

Detalhes bibliográficos
Autor(a) principal: Mota, Mauricio Tavares da [UNESP]
Data de Publicação: 2019
Outros Autores: Bressane, Adriano [UNESP], Frutuoso Roveda, Jose Arnaldo [UNESP], Monteiro Masalskiene Roveda, Sandra Regina [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5902/1980509830688
http://hdl.handle.net/11449/194874
Resumo: 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.
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spelling Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert systemEcological successionFuzzy logicAtlantic ForestA 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.Univ Estadual Paulista, Ciencias Ambientais, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, BrazilUniv Estadual Paulista, Ave Engn Francisco Jose Longo 777, BR-12245000 Sao Jose Dos Campos, SP, BrazilUniv Estadual Paulista, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, BrazilUniv Estadual Paulista, Ciencias Ambientais, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, BrazilUniv Estadual Paulista, Ave Engn Francisco Jose Longo 777, BR-12245000 Sao Jose Dos Campos, SP, BrazilUniv Estadual Paulista, Ave 3 Marco,511, BR-18087180 Sorocaba, SP, BrazilCentro Pesquisas Florestais, UfsmUniversidade Estadual Paulista (Unesp)Mota, Mauricio Tavares da [UNESP]Bressane, Adriano [UNESP]Frutuoso Roveda, Jose Arnaldo [UNESP]Monteiro Masalskiene Roveda, Sandra Regina [UNESP]2020-12-10T16:57:13Z2020-12-10T16:57:13Z2019-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article519-530application/pdfhttp://dx.doi.org/10.5902/1980509830688Ciencia Florestal. Santa Maria: Centro Pesquisas Florestais, Ufsm, v. 29, n. 2, p. 519-530, 2019.0103-9954http://hdl.handle.net/11449/19487410.5902/1980509830688S1980-50982019000200519WOS:000488284300004S1980-50982019000200519.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCiencia Florestalinfo:eu-repo/semantics/openAccess2023-12-28T06:15:30Zoai:repositorio.unesp.br:11449/194874Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-28T06:15:30Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
title Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
spellingShingle Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
Mota, Mauricio Tavares da [UNESP]
Ecological succession
Fuzzy logic
Atlantic Forest
title_short Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
title_full Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
title_fullStr Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
title_full_unstemmed Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
title_sort Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
author Mota, Mauricio Tavares da [UNESP]
author_facet Mota, Mauricio Tavares da [UNESP]
Bressane, Adriano [UNESP]
Frutuoso Roveda, Jose Arnaldo [UNESP]
Monteiro Masalskiene Roveda, Sandra Regina [UNESP]
author_role author
author2 Bressane, Adriano [UNESP]
Frutuoso Roveda, Jose Arnaldo [UNESP]
Monteiro Masalskiene Roveda, Sandra Regina [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Mota, Mauricio Tavares da [UNESP]
Bressane, Adriano [UNESP]
Frutuoso Roveda, Jose Arnaldo [UNESP]
Monteiro Masalskiene Roveda, Sandra Regina [UNESP]
dc.subject.por.fl_str_mv Ecological succession
Fuzzy logic
Atlantic Forest
topic Ecological succession
Fuzzy logic
Atlantic Forest
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-04-01
2020-12-10T16:57:13Z
2020-12-10T16:57:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5902/1980509830688
Ciencia Florestal. Santa Maria: Centro Pesquisas Florestais, Ufsm, v. 29, n. 2, p. 519-530, 2019.
0103-9954
http://hdl.handle.net/11449/194874
10.5902/1980509830688
S1980-50982019000200519
WOS:000488284300004
S1980-50982019000200519.pdf
url http://dx.doi.org/10.5902/1980509830688
http://hdl.handle.net/11449/194874
identifier_str_mv Ciencia Florestal. Santa Maria: Centro Pesquisas Florestais, Ufsm, v. 29, n. 2, p. 519-530, 2019.
0103-9954
10.5902/1980509830688
S1980-50982019000200519
WOS:000488284300004
S1980-50982019000200519.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ciencia Florestal
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 519-530
application/pdf
dc.publisher.none.fl_str_mv Centro Pesquisas Florestais, Ufsm
publisher.none.fl_str_mv Centro Pesquisas Florestais, Ufsm
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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