Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/49066 |
Resumo: | Aim of study: Aassessing the existence of consistent co-occurrence between tree species that characterize seasonal tropical forests, using the association rules analysis (ARA), that is a novel data mining methodology; and evaluate evaluating the taxonomic and functional similarities between associated species. Area of study: forty-four seasonal forest sites with permanent plots (40.2 ha of total sample) located in Southeast Brazil, from which we obtained species occurrences. Material and methods: we applied association rules analysis (ARA) to the dataset of species occurrence in sites considering the criteria of support equal to or greater than 0.63 and confidence equal to or greater than 0.8 to obtain the first set of associations rules between pairs of species. This set was then submitted to Fisher’s criteria exact p-value less than 0.05, lift equal to or greater than 1.1 and coverage equal to or greater than 0.63. We considered these criteria to be able to select non-random and consistent occurring associations. Main results: We obtained a final result of 238 rules for semideciduous forest and 11 rules for deciduous forests, composed of species characteristic of vegetation types. Co-occurrences are formed mainly by non-confamilial species, which have similar functional characteristics (potential size and wood density). There is a difference in the importance of co-occurrence between forest types, which tends to be less in deciduous forests. Research highlights: The results point to out the feasibility of applying ARA to ecological datasets as a tool for detecting ecological patterns of coexistence between species and the ecosystems functioning. |
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Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysisData miningCoexistenceSemideciduous forestsDeciduous forestsBiotic interactionMineração de dadosCoexistênciaFlorestas semidecíduasFlorestas decíduasInteração bióticaAim of study: Aassessing the existence of consistent co-occurrence between tree species that characterize seasonal tropical forests, using the association rules analysis (ARA), that is a novel data mining methodology; and evaluate evaluating the taxonomic and functional similarities between associated species. Area of study: forty-four seasonal forest sites with permanent plots (40.2 ha of total sample) located in Southeast Brazil, from which we obtained species occurrences. Material and methods: we applied association rules analysis (ARA) to the dataset of species occurrence in sites considering the criteria of support equal to or greater than 0.63 and confidence equal to or greater than 0.8 to obtain the first set of associations rules between pairs of species. This set was then submitted to Fisher’s criteria exact p-value less than 0.05, lift equal to or greater than 1.1 and coverage equal to or greater than 0.63. We considered these criteria to be able to select non-random and consistent occurring associations. Main results: We obtained a final result of 238 rules for semideciduous forest and 11 rules for deciduous forests, composed of species characteristic of vegetation types. Co-occurrences are formed mainly by non-confamilial species, which have similar functional characteristics (potential size and wood density). There is a difference in the importance of co-occurrence between forest types, which tends to be less in deciduous forests. Research highlights: The results point to out the feasibility of applying ARA to ecological datasets as a tool for detecting ecological patterns of coexistence between species and the ecosystems functioning.Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)2022-01-28T18:04:27Z2022-01-28T18:04:27Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSOUZA, C. R. et al. Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis. Forest Systems, [S. l.], v. 30, n. 2, e006, 2021. DOI: 10.5424/fs/2021302-18044.http://repositorio.ufla.br/jspui/handle/1/49066Forest Systemsreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSouza, Cléber RodrigoMaia, Vinícius AndradeAguiar-Campos, NatáliaFarrapo, Camila LaísSantos, Rubens Manoeleng2022-01-28T18:04:27Zoai:localhost:1/49066Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2022-01-28T18:04:27Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis |
title |
Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis |
spellingShingle |
Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis Souza, Cléber Rodrigo Data mining Coexistence Semideciduous forests Deciduous forests Biotic interaction Mineração de dados Coexistência Florestas semidecíduas Florestas decíduas Interação biótica |
title_short |
Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis |
title_full |
Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis |
title_fullStr |
Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis |
title_full_unstemmed |
Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis |
title_sort |
Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis |
author |
Souza, Cléber Rodrigo |
author_facet |
Souza, Cléber Rodrigo Maia, Vinícius Andrade Aguiar-Campos, Natália Farrapo, Camila Laís Santos, Rubens Manoel |
author_role |
author |
author2 |
Maia, Vinícius Andrade Aguiar-Campos, Natália Farrapo, Camila Laís Santos, Rubens Manoel |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Souza, Cléber Rodrigo Maia, Vinícius Andrade Aguiar-Campos, Natália Farrapo, Camila Laís Santos, Rubens Manoel |
dc.subject.por.fl_str_mv |
Data mining Coexistence Semideciduous forests Deciduous forests Biotic interaction Mineração de dados Coexistência Florestas semidecíduas Florestas decíduas Interação biótica |
topic |
Data mining Coexistence Semideciduous forests Deciduous forests Biotic interaction Mineração de dados Coexistência Florestas semidecíduas Florestas decíduas Interação biótica |
description |
Aim of study: Aassessing the existence of consistent co-occurrence between tree species that characterize seasonal tropical forests, using the association rules analysis (ARA), that is a novel data mining methodology; and evaluate evaluating the taxonomic and functional similarities between associated species. Area of study: forty-four seasonal forest sites with permanent plots (40.2 ha of total sample) located in Southeast Brazil, from which we obtained species occurrences. Material and methods: we applied association rules analysis (ARA) to the dataset of species occurrence in sites considering the criteria of support equal to or greater than 0.63 and confidence equal to or greater than 0.8 to obtain the first set of associations rules between pairs of species. This set was then submitted to Fisher’s criteria exact p-value less than 0.05, lift equal to or greater than 1.1 and coverage equal to or greater than 0.63. We considered these criteria to be able to select non-random and consistent occurring associations. Main results: We obtained a final result of 238 rules for semideciduous forest and 11 rules for deciduous forests, composed of species characteristic of vegetation types. Co-occurrences are formed mainly by non-confamilial species, which have similar functional characteristics (potential size and wood density). There is a difference in the importance of co-occurrence between forest types, which tends to be less in deciduous forests. Research highlights: The results point to out the feasibility of applying ARA to ecological datasets as a tool for detecting ecological patterns of coexistence between species and the ecosystems functioning. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2022-01-28T18:04:27Z 2022-01-28T18:04:27Z |
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 |
SOUZA, C. R. et al. Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis. Forest Systems, [S. l.], v. 30, n. 2, e006, 2021. DOI: 10.5424/fs/2021302-18044. http://repositorio.ufla.br/jspui/handle/1/49066 |
identifier_str_mv |
SOUZA, C. R. et al. Tree species consistent co-occurrence in seasonal tropical forests: an approach through association rules analysis. Forest Systems, [S. l.], v. 30, n. 2, e006, 2021. DOI: 10.5424/fs/2021302-18044. |
url |
http://repositorio.ufla.br/jspui/handle/1/49066 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) |
publisher.none.fl_str_mv |
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) |
dc.source.none.fl_str_mv |
Forest Systems reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835158945988608 |