Ecological niche modeling of bioindicator mosses
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
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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Acta Brasiliensis (Online) |
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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 |
_version_ |
1792204524183617536 |