USE OF THE PROCESS-BASED MODELS APPLIED TO GLOBAL FOREST RESEARCH: A BIBLIOMETRIC ANALYSIS
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1799874944235995136 |