Classification of successional stages in atlantic forests: a methodological approach based on a fuzzy expert system
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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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:29462024-08-05T21:30:00.954956Repositório 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 |
|
_version_ |
1808129326583906304 |