The use of species distribution modeling for forest restoration: A systematic review

Detalhes bibliográficos
Autor(a) principal: Amaral, Luise Andrade
Data de Publicação: 2021
Outros Autores: Ferreira, Robério Anastácio, Mann, Renata Silva
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/17158
Resumo: The objective of this work was to carry out a systematic review of the scientific production on the use of species distribution modeling for forest restoration. Searches for scientific articles in the Scopus and Web of Science databases for the last 15 years were performed in December 2020 using the terms: "ecological modeling" OR "biodiversity modeling" OR "predictive models" OR "modeling of niche" OR "habitat models" AND "species distribution" OR "geographic distribution" OR "potential distribution" AND "forest restoration" OR "restoration ecology". For the statistical and graphical analysis of the raw data the Bibliometrix package was used of the R software. The raw data were refined by selecting the studies that meet the following criteria: (i) studies published in scientific journals with an impact factor equal to or greater than 2.0; (ii) studies in which the title or abstract mentioned as words forest restoration or ecological restoration; (iii) studies that evaluate the use of species distribution modeling as an aid to forest restoration or restoration projects and programs the ecological. found 44 documents published in 30 scientific journals with an average of 3.91 publications per year; 18.55 citations per document; 197 authors, 3 documents with single authorship. Thus, we were able to conclude that the use of species distribution modeling for forest restoration in the world is very recent, and in Brazil it is incipient with low numbers of published articles. Still, it shows a growing trend due to its significant contribution to improving success rates restoration projects.
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spelling The use of species distribution modeling for forest restoration: A systematic reviewEl uso del modelado de distribución de especies para la restauración forestal: Una revisión sistemáticaO uso de modelagem de distribuição de espécies para restauração florestal: Uma revisão sistemáticaRestauración EcológicaMaxentSelección de Especies.Ecological RestorationMaxentSpecies Selection.Restauração EcológicaMaxentSeleção de Espécies.The objective of this work was to carry out a systematic review of the scientific production on the use of species distribution modeling for forest restoration. Searches for scientific articles in the Scopus and Web of Science databases for the last 15 years were performed in December 2020 using the terms: "ecological modeling" OR "biodiversity modeling" OR "predictive models" OR "modeling of niche" OR "habitat models" AND "species distribution" OR "geographic distribution" OR "potential distribution" AND "forest restoration" OR "restoration ecology". For the statistical and graphical analysis of the raw data the Bibliometrix package was used of the R software. The raw data were refined by selecting the studies that meet the following criteria: (i) studies published in scientific journals with an impact factor equal to or greater than 2.0; (ii) studies in which the title or abstract mentioned as words forest restoration or ecological restoration; (iii) studies that evaluate the use of species distribution modeling as an aid to forest restoration or restoration projects and programs the ecological. found 44 documents published in 30 scientific journals with an average of 3.91 publications per year; 18.55 citations per document; 197 authors, 3 documents with single authorship. Thus, we were able to conclude that the use of species distribution modeling for forest restoration in the world is very recent, and in Brazil it is incipient with low numbers of published articles. Still, it shows a growing trend due to its significant contribution to improving success rates restoration projects.El objetivo de este trabajo fue realizar una revisión sistemática de la producción científica sobre el uso de modelos de distribución de especies para la restauración forestal. Las búsquedas de artículos científicos en las bases de datos de Scopus y Web of Science durante los últimos 15 años se llevaron a cabo en diciembre de 2020 utilizando los términos: "modelado ecológico" O "modelado de biodiversidad" O "modelos predictivos" O "modelado de hábitat de nicho" O " modelos "Y" distribución de especies "O" distribución geográfica "O" distribución potencial "Y" restauración forestal "O" ecología de restauración ". Para el análisis estadístico y gráfico de los datos brutos se utilizó el paquete Bibliometrix del software R. Los datos se refinaron seleccionando los estudios que cumplen con los siguientes criterios: (i) estudios publicados en revistas científicas con un factor de impacto igual o superior a 2.0; (ii) estudios en los que el título o resumen menciona como palabras restauración forestal o restauración ecológica; (iii) estudios que evalúen el uso de modelos de distribución de especies como ayuda para proyectos y programas de restauración o restauración forestal lo ecológico. encontró 44 documentos publicados en 30 revistas científicas con un promedio de 3.91 publicaciones por año; 18,55 citas por documento; 197 autores, 3 documentos de autoría única. Así, podríamos concluir que el uso de modelos de distribución de especies para la restauración forestal en el mundo es muy reciente, y en Brasil es incipiente con bajo número de artículos publicados, pero muestra una tendencia creciente debido a su significativa contribución a mejorar las tasas de éxito. proyectos de restauración.O objetivo deste trabalho foi realizar uma revisão sistemática da produção científica do uso da modelagem de distribuição de espécies para restauração florestal. As buscas de artigos científicos nas bases de dados Scopus e Web of Science para os últimos 15 anos foram realizadas no mês de dezembro de 2020 utilizando os termos: “ecological modeling” OR “biodiversity modeling” OR “predictive models” OR “niche modeling" OR "habitat models" AND “species distribution” OR "geographic distribution" OR “potential distribution” AND “forest restoration” OR “restoration ecology”. Para as análises estatísticas e gráficos dos dados brutos foi utilizado o pacote Bibliometrix do software R. Os dados brutos foram refinados por meio da seleção dos estudos que atenderam aos seguintes critérios: (i) estudos publicados em revistas científicas com fator de impacto igual ou superior a 2,0; (ii) estudos em que o título ou resumo mencionasse as palavras restauração florestal ou restauração ecológica; (iii) estudos que avaliaram o uso de modelagem de distribuição de espécies como auxílio aos projetos e programas de restauração florestal ou restauração ecológica. Foram encontrados 44 documentos publicados em 30 periódicos científicos com média de 3,91 publicações por ano; 18,55 citações por documento; 197 autores, sendo 3 documentos com autoria única. Assim pode-se concluir que o uso de modelagem de distribuição de espécies para restauração florestal no mundo é muito recente, e no Brasil é incipiente com baixos números de artigos publicados, mas apresenta tendência de crescimento por conta da sua significativa contribuição para melhorar as taxas de sucesso dos projetos de restauração.Research, Society and Development2021-07-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1715810.33448/rsd-v10i8.17158Research, Society and Development; Vol. 10 No. 8; e46610817158Research, Society and Development; Vol. 10 Núm. 8; e46610817158Research, Society and Development; v. 10 n. 8; e466108171582525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/17158/15688Copyright (c) 2021 Luise Andrade Amaral; Robério Anastácio Ferreira; Renata Silva Mannhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAmaral, Luise AndradeFerreira, Robério AnastácioMann, Renata Silva2021-08-21T18:46:59Zoai:ojs.pkp.sfu.ca:article/17158Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:37:33.234270Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv The use of species distribution modeling for forest restoration: A systematic review
El uso del modelado de distribución de especies para la restauración forestal: Una revisión sistemática
O uso de modelagem de distribuição de espécies para restauração florestal: Uma revisão sistemática
title The use of species distribution modeling for forest restoration: A systematic review
spellingShingle The use of species distribution modeling for forest restoration: A systematic review
Amaral, Luise Andrade
Restauración Ecológica
Maxent
Selección de Especies.
Ecological Restoration
Maxent
Species Selection.
Restauração Ecológica
Maxent
Seleção de Espécies.
title_short The use of species distribution modeling for forest restoration: A systematic review
title_full The use of species distribution modeling for forest restoration: A systematic review
title_fullStr The use of species distribution modeling for forest restoration: A systematic review
title_full_unstemmed The use of species distribution modeling for forest restoration: A systematic review
title_sort The use of species distribution modeling for forest restoration: A systematic review
author Amaral, Luise Andrade
author_facet Amaral, Luise Andrade
Ferreira, Robério Anastácio
Mann, Renata Silva
author_role author
author2 Ferreira, Robério Anastácio
Mann, Renata Silva
author2_role author
author
dc.contributor.author.fl_str_mv Amaral, Luise Andrade
Ferreira, Robério Anastácio
Mann, Renata Silva
dc.subject.por.fl_str_mv Restauración Ecológica
Maxent
Selección de Especies.
Ecological Restoration
Maxent
Species Selection.
Restauração Ecológica
Maxent
Seleção de Espécies.
topic Restauración Ecológica
Maxent
Selección de Especies.
Ecological Restoration
Maxent
Species Selection.
Restauração Ecológica
Maxent
Seleção de Espécies.
description The objective of this work was to carry out a systematic review of the scientific production on the use of species distribution modeling for forest restoration. Searches for scientific articles in the Scopus and Web of Science databases for the last 15 years were performed in December 2020 using the terms: "ecological modeling" OR "biodiversity modeling" OR "predictive models" OR "modeling of niche" OR "habitat models" AND "species distribution" OR "geographic distribution" OR "potential distribution" AND "forest restoration" OR "restoration ecology". For the statistical and graphical analysis of the raw data the Bibliometrix package was used of the R software. The raw data were refined by selecting the studies that meet the following criteria: (i) studies published in scientific journals with an impact factor equal to or greater than 2.0; (ii) studies in which the title or abstract mentioned as words forest restoration or ecological restoration; (iii) studies that evaluate the use of species distribution modeling as an aid to forest restoration or restoration projects and programs the ecological. found 44 documents published in 30 scientific journals with an average of 3.91 publications per year; 18.55 citations per document; 197 authors, 3 documents with single authorship. Thus, we were able to conclude that the use of species distribution modeling for forest restoration in the world is very recent, and in Brazil it is incipient with low numbers of published articles. Still, it shows a growing trend due to its significant contribution to improving success rates restoration projects.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-16
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 https://rsdjournal.org/index.php/rsd/article/view/17158
10.33448/rsd-v10i8.17158
url https://rsdjournal.org/index.php/rsd/article/view/17158
identifier_str_mv 10.33448/rsd-v10i8.17158
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/17158/15688
dc.rights.driver.fl_str_mv Copyright (c) 2021 Luise Andrade Amaral; Robério Anastácio Ferreira; Renata Silva Mann
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Luise Andrade Amaral; Robério Anastácio Ferreira; Renata Silva Mann
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 8; e46610817158
Research, Society and Development; Vol. 10 Núm. 8; e46610817158
Research, Society and Development; v. 10 n. 8; e46610817158
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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