Binomial transformation applied to presence-absence community data
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.8/8706 |
Resumo: | MARE multipolar RD&I Centre was funded by the Fundaç˜ao para a Ciência e Tecnologia (FCT) through the strategic project UID/MAR/04292/2019. AC was funded by the Integrated Programme of SR&TD “Smart Valorization of Endogenous Marine Biological Resources Under a Changing Climate” (reference Centro-01-0145-FEDER-000018), cofunded by Centro 2020 program, Portugal 2020, European Union, through the European Regional Development Fund. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Binomial transformation applied to presence-absence community dataDistance matricesMantel testMultivariate analysisOrdinationsIndicator SpeciesEcological gradientsMARE multipolar RD&I Centre was funded by the Fundaç˜ao para a Ciência e Tecnologia (FCT) through the strategic project UID/MAR/04292/2019. AC was funded by the Integrated Programme of SR&TD “Smart Valorization of Endogenous Marine Biological Resources Under a Changing Climate” (reference Centro-01-0145-FEDER-000018), cofunded by Centro 2020 program, Portugal 2020, European Union, through the European Regional Development Fund.Community data is often transformed or standardized to meet the requirements and assumptions of multivariate analysis. While these methods are usually appropriate for abundance data, they are seldom applied to presence absence data. Here, a method of transforming a binary matrix using the binomial probability is described. Number of trials (n), number of successes (x) and probability of success (p) are necessary to compute the binomial probability. Successes were defined as the number of sites where the species occurrence can be considered; trials were equal and greater than the number of successes. The actual occurrence of each species along the gradient was considered the probability of success. The Mantel statistic associated with the binomially transformed distance matrix and the distance matrix based on binary data were used to choose an appropriate binomial transformation. The chosen binomial transformation gave greater value to species indicating habitat typologies. Binomially transformed data rendered results closer to expectations.ElsevierIC-OnlineConde, AnxoLeandro, SérgioMaranhão, PauloDomínguez, Jorge2023-07-28T15:11:34Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/8706engAnxo Conde, Sérgio Leandro, Paulo Maranhão, Jorge Domínguez, Binomial transformation applied to presence-absence community data, Ecological Informatics, Volume 70, 2022, 101753, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101753.1574-954110.1016/j.ecoinf.2022.101753metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-17T15:58:00Zoai:iconline.ipleiria.pt:10400.8/8706Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:51:22.513714Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Binomial transformation applied to presence-absence community data |
title |
Binomial transformation applied to presence-absence community data |
spellingShingle |
Binomial transformation applied to presence-absence community data Conde, Anxo Distance matrices Mantel test Multivariate analysis Ordinations Indicator Species Ecological gradients |
title_short |
Binomial transformation applied to presence-absence community data |
title_full |
Binomial transformation applied to presence-absence community data |
title_fullStr |
Binomial transformation applied to presence-absence community data |
title_full_unstemmed |
Binomial transformation applied to presence-absence community data |
title_sort |
Binomial transformation applied to presence-absence community data |
author |
Conde, Anxo |
author_facet |
Conde, Anxo Leandro, Sérgio Maranhão, Paulo Domínguez, Jorge |
author_role |
author |
author2 |
Leandro, Sérgio Maranhão, Paulo Domínguez, Jorge |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
IC-Online |
dc.contributor.author.fl_str_mv |
Conde, Anxo Leandro, Sérgio Maranhão, Paulo Domínguez, Jorge |
dc.subject.por.fl_str_mv |
Distance matrices Mantel test Multivariate analysis Ordinations Indicator Species Ecological gradients |
topic |
Distance matrices Mantel test Multivariate analysis Ordinations Indicator Species Ecological gradients |
description |
MARE multipolar RD&I Centre was funded by the Fundaç˜ao para a Ciência e Tecnologia (FCT) through the strategic project UID/MAR/04292/2019. AC was funded by the Integrated Programme of SR&TD “Smart Valorization of Endogenous Marine Biological Resources Under a Changing Climate” (reference Centro-01-0145-FEDER-000018), cofunded by Centro 2020 program, Portugal 2020, European Union, through the European Regional Development Fund. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z 2023-07-28T15:11:34Z |
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://hdl.handle.net/10400.8/8706 |
url |
http://hdl.handle.net/10400.8/8706 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Anxo Conde, Sérgio Leandro, Paulo Maranhão, Jorge Domínguez, Binomial transformation applied to presence-absence community data, Ecological Informatics, Volume 70, 2022, 101753, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101753. 1574-9541 10.1016/j.ecoinf.2022.101753 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137005134675968 |