USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS

Detalhes bibliográficos
Autor(a) principal: Gonçalves, Anny Francielly Ataide
Data de Publicação: 2021
Outros Autores: Santos, Juscelina Arcanjo dos, França, Luciano Cavalcante de Jesus, Campoe, Otávio Camargo, Altoé, Thiza Falqueto, Scolforo, Jose Roberto Soares
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/2769
Resumo: Process-based modeling is composed of physiological processes and biophysical parameters that simulate net primary productivity, growth, yield, mortality, energy and water balance of trees, providing information and estimates for forest management and services. Through bibliometric evaluation we identify the quantitative state of the art on the use of Process-Based Models (MBPs) applied in forestry studies, contextualizing research fronts, and analyzing the main topics and emerging themes. Data from the Web of Science and Scopus were used for the bibliometric survey of 533 scientific records. We verified that (i) the number of publications related to the MBP was boosted in the years 2000, and is growing; (ii) Forest Ecology and Management (74 publications) is the journal that most publishes on the subject; (iii) Annikki Mäkelä is the most productive researcher (20 publications) and most cited (h-index: 12); (iv) The USA (131 records) is the country with the highest number of research; (v) there are eight collaborative networks between the authors, three workings together, and five producing in isolation; (vi) the keywords are grouped into five clusters: (a) the effect of climate change on forests; (b) carbon studies; (c) physiology of trees; (d) silvicultural practices and; (e) analysis of model uncertainties. The separation of themes showed that the new search hotspots are the PBM with the use of remote detection tools. The results presented can be a fundamental theoretical tool for understanding the trends and development perspectives of this research line in future studies.
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spelling USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSISAnalysis of process-based models, Bibliometric Review, Forest management, Process-based modelling.Process-based modeling is composed of physiological processes and biophysical parameters that simulate net primary productivity, growth, yield, mortality, energy and water balance of trees, providing information and estimates for forest management and services. Through bibliometric evaluation we identify the quantitative state of the art on the use of Process-Based Models (MBPs) applied in forestry studies, contextualizing research fronts, and analyzing the main topics and emerging themes. Data from the Web of Science and Scopus were used for the bibliometric survey of 533 scientific records. We verified that (i) the number of publications related to the MBP was boosted in the years 2000, and is growing; (ii) Forest Ecology and Management (74 publications) is the journal that most publishes on the subject; (iii) Annikki Mäkelä is the most productive researcher (20 publications) and most cited (h-index: 12); (iv) The USA (131 records) is the country with the highest number of research; (v) there are eight collaborative networks between the authors, three workings together, and five producing in isolation; (vi) the keywords are grouped into five clusters: (a) the effect of climate change on forests; (b) carbon studies; (c) physiology of trees; (d) silvicultural practices and; (e) analysis of model uncertainties. The separation of themes showed that the new search hotspots are the PBM with the use of remote detection tools. The results presented can be a fundamental theoretical tool for understanding the trends and development perspectives of this research line in future studies.CERNECERNE2021-05-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/2769CERNE; Vol 27 No 1 (2021); e-102769CERNE; Vol 27 No 1 (2021); e-1027692317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/2769/1239Copyright (c) 2021 CERNEinfo:eu-repo/semantics/openAccessGonçalves, Anny Francielly AtaideSantos, Juscelina Arcanjo dosFrança, Luciano Cavalcante de JesusCampoe, Otávio CamargoAltoé, Thiza FalquetoScolforo, Jose Roberto Soares2022-01-17T17:29:18Zoai:cerne.ufla.br:article/2769Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:47.124229Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS
title USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS
spellingShingle USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS
Gonçalves, Anny Francielly Ataide
Analysis of process-based models, Bibliometric Review, Forest management, Process-based modelling.
title_short USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS
title_full USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS
title_fullStr USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS
title_full_unstemmed USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS
title_sort USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS
author Gonçalves, Anny Francielly Ataide
author_facet Gonçalves, Anny Francielly Ataide
Santos, Juscelina Arcanjo dos
França, Luciano Cavalcante de Jesus
Campoe, Otávio Camargo
Altoé, Thiza Falqueto
Scolforo, Jose Roberto Soares
author_role author
author2 Santos, Juscelina Arcanjo dos
França, Luciano Cavalcante de Jesus
Campoe, Otávio Camargo
Altoé, Thiza Falqueto
Scolforo, Jose Roberto Soares
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Gonçalves, Anny Francielly Ataide
Santos, Juscelina Arcanjo dos
França, Luciano Cavalcante de Jesus
Campoe, Otávio Camargo
Altoé, Thiza Falqueto
Scolforo, Jose Roberto Soares
dc.subject.por.fl_str_mv Analysis of process-based models, Bibliometric Review, Forest management, Process-based modelling.
topic Analysis of process-based models, Bibliometric Review, Forest management, Process-based modelling.
description Process-based modeling is composed of physiological processes and biophysical parameters that simulate net primary productivity, growth, yield, mortality, energy and water balance of trees, providing information and estimates for forest management and services. Through bibliometric evaluation we identify the quantitative state of the art on the use of Process-Based Models (MBPs) applied in forestry studies, contextualizing research fronts, and analyzing the main topics and emerging themes. Data from the Web of Science and Scopus were used for the bibliometric survey of 533 scientific records. We verified that (i) the number of publications related to the MBP was boosted in the years 2000, and is growing; (ii) Forest Ecology and Management (74 publications) is the journal that most publishes on the subject; (iii) Annikki Mäkelä is the most productive researcher (20 publications) and most cited (h-index: 12); (iv) The USA (131 records) is the country with the highest number of research; (v) there are eight collaborative networks between the authors, three workings together, and five producing in isolation; (vi) the keywords are grouped into five clusters: (a) the effect of climate change on forests; (b) carbon studies; (c) physiology of trees; (d) silvicultural practices and; (e) analysis of model uncertainties. The separation of themes showed that the new search hotspots are the PBM with the use of remote detection tools. The results presented can be a fundamental theoretical tool for understanding the trends and development perspectives of this research line in future studies.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-28
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://cerne.ufla.br/site/index.php/CERNE/article/view/2769
url https://cerne.ufla.br/site/index.php/CERNE/article/view/2769
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/2769/1239
dc.rights.driver.fl_str_mv Copyright (c) 2021 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol 27 No 1 (2021); e-102769
CERNE; Vol 27 No 1 (2021); e-102769
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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