Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness Index

Detalhes bibliográficos
Autor(a) principal: Tonetto,Aurélio Fajar
Data de Publicação: 2016
Outros Autores: Bispo,Pitágoras Conceição, Branco,Ciro Cesar Zanini
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Biota Neotropica
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032016000100104
Resumo: The main aim of this study was to assess the diversity of four stream algal divisions (Cyanobacteria, Chlorophyta, Ochrophyta and Rhodophyta) by comparing results obtained with taxonomic distinctness index and diversity patterns of previous studies. The data were obtained from a study made in 1000 stream segments in North American biomes. The taxonomic arrangement of the taxa was created from species to division level in order to obtain the taxonomic tree, which is used in taxonomic distinctness index. The results of taxonomic distinctness index showed that stream macroalgal diversity was different from that commonly found. Herein, Ochrophyta was the division with the highest diversity, whereas in previous studies Chlorophyta has been in the first position. Cyanobacteria also presented different results, showing the lowest diversity with taxonomic distinctness index, but it is often one of the most diverse divisions in previous studies. The application of statistical methods should match the research aims and be appropriate to the data set collected. However, different methods can complement ecological analyzes, taking into account what aspect of the community the statistical measure better explains.
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spelling Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness IndexBiodiversitytaxonomic distinctnessmacroalgaeThe main aim of this study was to assess the diversity of four stream algal divisions (Cyanobacteria, Chlorophyta, Ochrophyta and Rhodophyta) by comparing results obtained with taxonomic distinctness index and diversity patterns of previous studies. The data were obtained from a study made in 1000 stream segments in North American biomes. The taxonomic arrangement of the taxa was created from species to division level in order to obtain the taxonomic tree, which is used in taxonomic distinctness index. The results of taxonomic distinctness index showed that stream macroalgal diversity was different from that commonly found. Herein, Ochrophyta was the division with the highest diversity, whereas in previous studies Chlorophyta has been in the first position. Cyanobacteria also presented different results, showing the lowest diversity with taxonomic distinctness index, but it is often one of the most diverse divisions in previous studies. The application of statistical methods should match the research aims and be appropriate to the data set collected. However, different methods can complement ecological analyzes, taking into account what aspect of the community the statistical measure better explains.Instituto Virtual da Biodiversidade | BIOTA - FAPESP2016-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032016000100104Biota Neotropica v.16 n.1 2016reponame:Biota Neotropicainstname:Instituto Virtual da Biodiversidade (BIOTA-FAPESP)instacron:BIOTA - FAPESP10.1590/1676-0611-BN-2015-0085info:eu-repo/semantics/openAccessTonetto,Aurélio FajarBispo,Pitágoras ConceiçãoBranco,Ciro Cesar Zaninieng2016-02-01T00:00:00Zoai:scielo:S1676-06032016000100104Revistahttps://www.biotaneotropica.org.br/v20n1/pt/https://old.scielo.br/oai/scielo-oai.php||juliosa@unifap.br1676-06111676-0611opendoar:2016-02-01T00:00Biota Neotropica - Instituto Virtual da Biodiversidade (BIOTA-FAPESP)false
dc.title.none.fl_str_mv Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness Index
title Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness Index
spellingShingle Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness Index
Tonetto,Aurélio Fajar
Biodiversity
taxonomic distinctness
macroalgae
title_short Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness Index
title_full Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness Index
title_fullStr Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness Index
title_full_unstemmed Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness Index
title_sort Diversity Assessment of Lotic Macroalgal Flora by the Application of Taxonomic Distinctness Index
author Tonetto,Aurélio Fajar
author_facet Tonetto,Aurélio Fajar
Bispo,Pitágoras Conceição
Branco,Ciro Cesar Zanini
author_role author
author2 Bispo,Pitágoras Conceição
Branco,Ciro Cesar Zanini
author2_role author
author
dc.contributor.author.fl_str_mv Tonetto,Aurélio Fajar
Bispo,Pitágoras Conceição
Branco,Ciro Cesar Zanini
dc.subject.por.fl_str_mv Biodiversity
taxonomic distinctness
macroalgae
topic Biodiversity
taxonomic distinctness
macroalgae
description The main aim of this study was to assess the diversity of four stream algal divisions (Cyanobacteria, Chlorophyta, Ochrophyta and Rhodophyta) by comparing results obtained with taxonomic distinctness index and diversity patterns of previous studies. The data were obtained from a study made in 1000 stream segments in North American biomes. The taxonomic arrangement of the taxa was created from species to division level in order to obtain the taxonomic tree, which is used in taxonomic distinctness index. The results of taxonomic distinctness index showed that stream macroalgal diversity was different from that commonly found. Herein, Ochrophyta was the division with the highest diversity, whereas in previous studies Chlorophyta has been in the first position. Cyanobacteria also presented different results, showing the lowest diversity with taxonomic distinctness index, but it is often one of the most diverse divisions in previous studies. The application of statistical methods should match the research aims and be appropriate to the data set collected. However, different methods can complement ecological analyzes, taking into account what aspect of the community the statistical measure better explains.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032016000100104
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032016000100104
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1676-0611-BN-2015-0085
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Virtual da Biodiversidade | BIOTA - FAPESP
publisher.none.fl_str_mv Instituto Virtual da Biodiversidade | BIOTA - FAPESP
dc.source.none.fl_str_mv Biota Neotropica v.16 n.1 2016
reponame:Biota Neotropica
instname:Instituto Virtual da Biodiversidade (BIOTA-FAPESP)
instacron:BIOTA - FAPESP
instname_str Instituto Virtual da Biodiversidade (BIOTA-FAPESP)
instacron_str BIOTA - FAPESP
institution BIOTA - FAPESP
reponame_str Biota Neotropica
collection Biota Neotropica
repository.name.fl_str_mv Biota Neotropica - Instituto Virtual da Biodiversidade (BIOTA-FAPESP)
repository.mail.fl_str_mv ||juliosa@unifap.br
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