Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis

Detalhes bibliográficos
Autor(a) principal: Barbosa, Fabiana Gonçalves
Data de Publicação: 2012
Outros Autores: Schneck, Fabiana, Melo, Adriano Sanches
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FURG (RI FURG)
Texto Completo: http://repositorio.furg.br/handle/1/4351
Resumo: We conducted a scientometric analysis to determine the main trends and gaps of studies on the use of ecological niche models (ENMs) to predict the distribution of invasive species. We used the database of the Thomson Institute for Scientific Information (ISI). We found 190 papers published between 1991 and 2010 in 82 journals. The number of papers was low in the 1990s, but began to increase after 2003. One-third of the papers were published by researchers from the United States of America, and consequently, the USA was also the most studied region. The majority of studies were carried out in terrestrial environments, while only a few investigated aquatic systems, probably because important aquatic predictor variables are scarce or unavailable for most regions in the world. Species-occurrence records were mainly composed of presence-only records, and almost 70% of the studies were carried out with plants and insects. Twenty-three different distribution modelling methods were used. The Genetic Algorithm for Rule-set Production (GARP) was used most often. Our scientometric analysis showed a growing interest in the use of ENMs to predict the distribution of invasive species, especially in the last decade, which is probably related to the increase in species introductions worldwide. Among some important gaps that need to be filled, the relatively small number of studies conducted in developing countries and in aquatic environments deserves careful attention.
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spelling Use of ecological niche models to predict the distribution of invasive species: a scientometric analysisUso de modelos de nicho ecológico para predizer a distribuição de espécies invasoras: uma análise cienciométricabiodiversitybiological invasionsscientific productiontrendsWe conducted a scientometric analysis to determine the main trends and gaps of studies on the use of ecological niche models (ENMs) to predict the distribution of invasive species. We used the database of the Thomson Institute for Scientific Information (ISI). We found 190 papers published between 1991 and 2010 in 82 journals. The number of papers was low in the 1990s, but began to increase after 2003. One-third of the papers were published by researchers from the United States of America, and consequently, the USA was also the most studied region. The majority of studies were carried out in terrestrial environments, while only a few investigated aquatic systems, probably because important aquatic predictor variables are scarce or unavailable for most regions in the world. Species-occurrence records were mainly composed of presence-only records, and almost 70% of the studies were carried out with plants and insects. Twenty-three different distribution modelling methods were used. The Genetic Algorithm for Rule-set Production (GARP) was used most often. Our scientometric analysis showed a growing interest in the use of ENMs to predict the distribution of invasive species, especially in the last decade, which is probably related to the increase in species introductions worldwide. Among some important gaps that need to be filled, the relatively small number of studies conducted in developing countries and in aquatic environments deserves careful attention.Conduziu-se uma análise cienciométrica para determinar as principais tendências e lacunas de estudos sobre o uso de modelos de nicho ecológico (MNEs) para predizer a distribuição de espécies invasoras. Usou-se a base de dados Thomson Institute for Scientific Information (ISI). Foram encontrados 190 artigos publicados entre 1991 e 2010, em 82 periódicos. O número de trabalhos foi baixo na década de 1990, mas começou a aumentar após 2000. Um terço dos trabalhos foi publicado por pesquisadores dos Estados Unidos da América e, consequentemente, os Estados Unidos também foram a região mais estudada. A maioria dos estudos foi realizada em ambientes terrestres. Apenas alguns sistemas aquáticos foram investigados, provavelmente porque importantes variáveis preditoras aquáticas são escassas ou inexistentes na maioria das regiões do mundo. Registros de ocorrência de espécies foram compostos principalmente por registros de presença (ou seja, sem registros de ausência) e quase 70% dos estudos foram realizados com plantas e insetos. Vinte e três diferentes métodos de modelagem foram utilizados. O Algoritmo Genético para Produção de Conjunto de Regras (GARP) foi o mais utilizado. Esta análise cienciométrica mostrou um interesse crescente no uso de MNEs para prever a distribuição de espécies invasoras, especialmente na última década, estando esse aumento provavelmente relacionado ao crescimento na introdução de espécies em todo o mundo. Entre algumas lacunas importantes que precisam ser preenchidas, destaca-se o número relativamente pequeno de estudos realizados em países em desenvolvimento e em ambientes aquáticos.2014-02-21T19:12:52Z2014-02-21T19:12:52Z2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfBARBOSA, Fabiana Gonçalves; SCHNECK, Fabiana; MELO, Adriano Sanches. Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis. Brazilian Journal of Biology, v. 72, n. 4, p. 821-829, nov. 2012. Disponível em: <http://www.scielo.br/pdf/bjb/v72n4/07.pdf>. Acesso em: 24 jan. 2014.1519-6984http://repositorio.furg.br/handle/1/4351engBarbosa, Fabiana GonçalvesSchneck, FabianaMelo, Adriano Sanchesinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURG2014-02-21T19:12:52Zoai:repositorio.furg.br:1/4351Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2014-02-21T19:12:52Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis
Uso de modelos de nicho ecológico para predizer a distribuição de espécies invasoras: uma análise cienciométrica
title Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis
spellingShingle Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis
Barbosa, Fabiana Gonçalves
biodiversity
biological invasions
scientific production
trends
title_short Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis
title_full Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis
title_fullStr Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis
title_full_unstemmed Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis
title_sort Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis
author Barbosa, Fabiana Gonçalves
author_facet Barbosa, Fabiana Gonçalves
Schneck, Fabiana
Melo, Adriano Sanches
author_role author
author2 Schneck, Fabiana
Melo, Adriano Sanches
author2_role author
author
dc.contributor.author.fl_str_mv Barbosa, Fabiana Gonçalves
Schneck, Fabiana
Melo, Adriano Sanches
dc.subject.por.fl_str_mv biodiversity
biological invasions
scientific production
trends
topic biodiversity
biological invasions
scientific production
trends
description We conducted a scientometric analysis to determine the main trends and gaps of studies on the use of ecological niche models (ENMs) to predict the distribution of invasive species. We used the database of the Thomson Institute for Scientific Information (ISI). We found 190 papers published between 1991 and 2010 in 82 journals. The number of papers was low in the 1990s, but began to increase after 2003. One-third of the papers were published by researchers from the United States of America, and consequently, the USA was also the most studied region. The majority of studies were carried out in terrestrial environments, while only a few investigated aquatic systems, probably because important aquatic predictor variables are scarce or unavailable for most regions in the world. Species-occurrence records were mainly composed of presence-only records, and almost 70% of the studies were carried out with plants and insects. Twenty-three different distribution modelling methods were used. The Genetic Algorithm for Rule-set Production (GARP) was used most often. Our scientometric analysis showed a growing interest in the use of ENMs to predict the distribution of invasive species, especially in the last decade, which is probably related to the increase in species introductions worldwide. Among some important gaps that need to be filled, the relatively small number of studies conducted in developing countries and in aquatic environments deserves careful attention.
publishDate 2012
dc.date.none.fl_str_mv 2012
2014-02-21T19:12:52Z
2014-02-21T19:12:52Z
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 BARBOSA, Fabiana Gonçalves; SCHNECK, Fabiana; MELO, Adriano Sanches. Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis. Brazilian Journal of Biology, v. 72, n. 4, p. 821-829, nov. 2012. Disponível em: <http://www.scielo.br/pdf/bjb/v72n4/07.pdf>. Acesso em: 24 jan. 2014.
1519-6984
http://repositorio.furg.br/handle/1/4351
identifier_str_mv BARBOSA, Fabiana Gonçalves; SCHNECK, Fabiana; MELO, Adriano Sanches. Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis. Brazilian Journal of Biology, v. 72, n. 4, p. 821-829, nov. 2012. Disponível em: <http://www.scielo.br/pdf/bjb/v72n4/07.pdf>. Acesso em: 24 jan. 2014.
1519-6984
url http://repositorio.furg.br/handle/1/4351
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da FURG (RI FURG)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Repositório Institucional da FURG (RI FURG)
collection Repositório Institucional da FURG (RI FURG)
repository.name.fl_str_mv Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)
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