Ecological niche modeling of bioindicator mosses

Detalhes bibliográficos
Autor(a) principal: Cruz, Anny Bianca Santos
Data de Publicação: 2021
Outros Autores: Almeida, Thieres Santos, Fabricante, Juliano Ricardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Brasiliensis (Online)
Texto Completo: http://revistas.ufcg.edu.br/ActaBra/index.php/actabra/article/view/485
Resumo: Bryophytes can be used as bioindicators, however one limitations of this use is knowledge gaps about the occurrence of species. Thus, the present study aimed to perform the ecological niche modeling for Helicodontium capillare (Hedw.) A. Jaeger and Thuidium tomentosum Schimp., two species of bioindicator mosses. Species occurrence data were obtained from Global Biodiversity Information Facility (GBIF) and SpeciesLink platform. Bioclimatic variables were collected from WorldClim 2.0, to select the least correlated variables, Pearson's correlation analysis was performed. Modeling was performed using the Generalized Additive Models, Gaussian Process, MaxEnt, Random Forest and Support Vector Machine algorithms. Using best models, a consensus model was generated. The validity of the models was tested using the True Skill Statistic (TSS) metric. Results show that the two species have greater environmental suitability in environments with high rainfall, especially in industrialized countries in Latin America, such as Brazil and Colombia. In addition, the areas of greatest suitability also correspond to large urban centers with high levels of pollution. Therefore, these species can be used as bioindicators in these regions, thus assisting in the problem identification and management process.
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spelling Ecological niche modeling of bioindicator mosses Modelagem de nicho ecológico de musgos bioindicadoresBryophytes can be used as bioindicators, however one limitations of this use is knowledge gaps about the occurrence of species. Thus, the present study aimed to perform the ecological niche modeling for Helicodontium capillare (Hedw.) A. Jaeger and Thuidium tomentosum Schimp., two species of bioindicator mosses. Species occurrence data were obtained from Global Biodiversity Information Facility (GBIF) and SpeciesLink platform. Bioclimatic variables were collected from WorldClim 2.0, to select the least correlated variables, Pearson's correlation analysis was performed. Modeling was performed using the Generalized Additive Models, Gaussian Process, MaxEnt, Random Forest and Support Vector Machine algorithms. Using best models, a consensus model was generated. The validity of the models was tested using the True Skill Statistic (TSS) metric. Results show that the two species have greater environmental suitability in environments with high rainfall, especially in industrialized countries in Latin America, such as Brazil and Colombia. In addition, the areas of greatest suitability also correspond to large urban centers with high levels of pollution. Therefore, these species can be used as bioindicators in these regions, thus assisting in the problem identification and management process.As briófitas podem ser utilizadas como bioindicadoras, no entanto, uma das limitações desse uso são as lacunas no conhecimento sobre a ocorrência das espécies. Assim, o presente estudo teve como objetivo realizar a modelagem de nicho ecológico para Helicodontium capillare (Hedw.) A.Jaeger e Thuidium tomentosum Schimp., duas espécies de musgos bioindicadores. Os dados de ocorrência das espécies foram obtidos na plataforma Global Biodiversity Information Facility (GBIF) e SpeciesLink. As variáveis bioclimáticas foram coletadas do WorldClim 2.0. Para selecionar as menos correlacionadas foi realizada a análise de correlação de Pearson. A modelagem foi feita utilizando os algoritmos Generalized Additive Models, Gaussian Process, MaxEnt, Random Forest e Support Vector Machine. Usando os melhores modelos foi gerado um modelo consenso. A validade dos modelos foi testada utilizando a métrica True Skill Statistic (TSS). Os resultados indicam que as duas espécies apresentam maior adequabilidade ambiental em ambientes com alta precipitação principalmente em países industrializados da América Latina à exemplo do Brasil e Colômbia. Além disso, as áreas de maior adequabilidade também correspondem à grandes centros urbanos com altos índices de poluição. Portanto, essas espécies podem ser utilizadas como bioindicadoras nessas regiões, auxiliando assim no processo de identificação e gestão do problema.Universidade Federal de Campina Grande - UFCG2021-05-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistas.ufcg.edu.br/ActaBra/index.php/actabra/article/view/48510.22571/2526-4338485Acta Brasiliensis; Vol 5 No 2 (2021): Acta Brasiliensis; 83-87Acta Brasiliensis; Vol 5 No 2 (2021): Acta Brasiliensis; 83-87Acta Brasiliensis; Vol 5 No 2 (2021): Acta Brasiliensis; 83-872526-43382526-432Xreponame:Acta Brasiliensis (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCGenghttp://revistas.ufcg.edu.br/ActaBra/index.php/actabra/article/view/485/127Copyright (c) 2021 Acta Brasiliensisinfo:eu-repo/semantics/openAccessCruz, Anny Bianca SantosAlmeida, Thieres SantosFabricante, Juliano Ricardo2021-07-12T20:03:27Zoai:ActaBra.revistas.ufcg.edu.br:article/485Revistahttp://revistas.ufcg.edu.br/ActaBraPUBhttp://revistas.ufcg.edu.br/ActaBra/index.php/actabra/oaiactabrasiliensis@gmail.com || actabrasiliensis@gmail.com2526-432X2526-4338opendoar:2021-07-12T20:03:27Acta Brasiliensis (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Ecological niche modeling of bioindicator mosses

Modelagem de nicho ecológico de musgos bioindicadores
title Ecological niche modeling of bioindicator mosses
spellingShingle Ecological niche modeling of bioindicator mosses
Cruz, Anny Bianca Santos
title_short Ecological niche modeling of bioindicator mosses
title_full Ecological niche modeling of bioindicator mosses
title_fullStr Ecological niche modeling of bioindicator mosses
title_full_unstemmed Ecological niche modeling of bioindicator mosses
title_sort Ecological niche modeling of bioindicator mosses
author Cruz, Anny Bianca Santos
author_facet Cruz, Anny Bianca Santos
Almeida, Thieres Santos
Fabricante, Juliano Ricardo
author_role author
author2 Almeida, Thieres Santos
Fabricante, Juliano Ricardo
author2_role author
author
dc.contributor.author.fl_str_mv Cruz, Anny Bianca Santos
Almeida, Thieres Santos
Fabricante, Juliano Ricardo
description Bryophytes can be used as bioindicators, however one limitations of this use is knowledge gaps about the occurrence of species. Thus, the present study aimed to perform the ecological niche modeling for Helicodontium capillare (Hedw.) A. Jaeger and Thuidium tomentosum Schimp., two species of bioindicator mosses. Species occurrence data were obtained from Global Biodiversity Information Facility (GBIF) and SpeciesLink platform. Bioclimatic variables were collected from WorldClim 2.0, to select the least correlated variables, Pearson's correlation analysis was performed. Modeling was performed using the Generalized Additive Models, Gaussian Process, MaxEnt, Random Forest and Support Vector Machine algorithms. Using best models, a consensus model was generated. The validity of the models was tested using the True Skill Statistic (TSS) metric. Results show that the two species have greater environmental suitability in environments with high rainfall, especially in industrialized countries in Latin America, such as Brazil and Colombia. In addition, the areas of greatest suitability also correspond to large urban centers with high levels of pollution. Therefore, these species can be used as bioindicators in these regions, thus assisting in the problem identification and management process.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://revistas.ufcg.edu.br/ActaBra/index.php/actabra/article/view/485
10.22571/2526-4338485
url http://revistas.ufcg.edu.br/ActaBra/index.php/actabra/article/view/485
identifier_str_mv 10.22571/2526-4338485
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://revistas.ufcg.edu.br/ActaBra/index.php/actabra/article/view/485/127
dc.rights.driver.fl_str_mv Copyright (c) 2021 Acta Brasiliensis
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Acta Brasiliensis
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Campina Grande - UFCG
publisher.none.fl_str_mv Universidade Federal de Campina Grande - UFCG
dc.source.none.fl_str_mv Acta Brasiliensis; Vol 5 No 2 (2021): Acta Brasiliensis; 83-87
Acta Brasiliensis; Vol 5 No 2 (2021): Acta Brasiliensis; 83-87
Acta Brasiliensis; Vol 5 No 2 (2021): Acta Brasiliensis; 83-87
2526-4338
2526-432X
reponame:Acta Brasiliensis (Online)
instname:Universidade Federal de Campina Grande (UFCG)
instacron:UFCG
instname_str Universidade Federal de Campina Grande (UFCG)
instacron_str UFCG
institution UFCG
reponame_str Acta Brasiliensis (Online)
collection Acta Brasiliensis (Online)
repository.name.fl_str_mv Acta Brasiliensis (Online) - Universidade Federal de Campina Grande (UFCG)
repository.mail.fl_str_mv actabrasiliensis@gmail.com || actabrasiliensis@gmail.com
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