Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in Brazil

Detalhes bibliográficos
Autor(a) principal: Duarte, Marciel Lelis
Data de Publicação: 2023
Outros Autores: Ribeiro, Aristides
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/61334
Resumo: The aim of this study was to evaluate the influence of the climatic phenomena El Niño and La Niña on the productivity simulated by the 3PG model in Eucalyptus spp. The studies were carried out in areas with clonal planting of eucalyptus in the States of Bahia (BA), Minas Gerais (MG) and Rio Grande do Sul (RS). We worked on the years of occurrence of the El Niño and La Niña events with weak, moderate and strong intensities in the years 1980 to 2015. Simulations of the variables that express planting productivity in each year of these climatic events were made using the 3PG model. The calibration of the model was made from inventory data of the plots worked. The ages of three, five and seven years were assessed throughout the cycle. The averages of states, regions and ages were statistically compared using the Tukey test (p ≤ 5%). The model was able to detect trends attributed to the climatic events of El Niño and La Niña, showing greater volumetric increases in those that presented greater total rainfall. The events in which climatic conditions limiting the growth of plantations occurred, verified a smaller increase in total biomass. The estimated biomass showed greater increases for the organs: wood> root> leaves, respectively.
id UFSM-6_0489124175aa57b0a3fd3f27987dfb9c
oai_identifier_str oai:ojs.pkp.sfu.ca:article/61334
network_acronym_str UFSM-6
network_name_str Ciência Florestal (Online)
repository_id_str
spelling Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in BrazilInfluência do El Niño e La Niña na produtividade de plantios de Eucalipto em distintas regiões no BrasilENOSClimaModelagem ecofisiológicaSilviculturaENOSClimateEcophysiological modelingForestyThe aim of this study was to evaluate the influence of the climatic phenomena El Niño and La Niña on the productivity simulated by the 3PG model in Eucalyptus spp. The studies were carried out in areas with clonal planting of eucalyptus in the States of Bahia (BA), Minas Gerais (MG) and Rio Grande do Sul (RS). We worked on the years of occurrence of the El Niño and La Niña events with weak, moderate and strong intensities in the years 1980 to 2015. Simulations of the variables that express planting productivity in each year of these climatic events were made using the 3PG model. The calibration of the model was made from inventory data of the plots worked. The ages of three, five and seven years were assessed throughout the cycle. The averages of states, regions and ages were statistically compared using the Tukey test (p ≤ 5%). The model was able to detect trends attributed to the climatic events of El Niño and La Niña, showing greater volumetric increases in those that presented greater total rainfall. The events in which climatic conditions limiting the growth of plantations occurred, verified a smaller increase in total biomass. The estimated biomass showed greater increases for the organs: wood> root> leaves, respectively.O objetivo deste estudo foi avaliar a influência dos fenômenos climáticos El Niño e La Niña na produtividade simulada pelo modelo 3PG em Eucalyptus spp. Os estudos foram realizados em áreas com plantio clonais de eucalipto nos estados da Bahia (BA), Minas Gerais (MG) e Rio Grande do Sul (RS). Trabalhou-se nos anos de ocorrência dos eventos El Niño e La Niña com intensidades fraca, moderada e forte nos anos de 1980 a 2015. Foram feitas simulações das variáveis que expressam produtividade nos plantios em cada ano destes eventos climáticos, utilizando o modelo 3PG. A calibração do modelo foi feita a partir de dados de inventários dos talhões trabalhados. As idades de três, cinco e sete anos foram avaliadas ao longo do ciclo. As médias dos estados, regiões e idades foram comparadas estatisticamente pelo teste de Tukey (p ≤ 5%). O modelo foi capaz de detectar tendências atribuídas aos eventos climáticos do El Niño e La Niña, evidenciando maiores incrementos volumétricos naqueles que apresentaram maiores totais de chuvas. Os eventos em que ocorreram condições climáticas limitantes ao crescimento dos plantios verificaram menor incremento da biomassa total. A biomassa estimada apresentou maiores incrementos para os órgãos: lenho>raiz>folhas, respectivamente.Universidade Federal de Santa Maria2023-03-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/6133410.5902/1980509861334Ciência Florestal; Vol. 33 No. 1 (2023): Publicação Contínua; e61334 Ciência Florestal; v. 33 n. 1 (2023): Publicação Contínua; e61334 1980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/61334/51864Copyright (c) 2022 Ciência Florestalhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessDuarte, Marciel LelisRibeiro, Aristides2023-06-07T17:41:31Zoai:ojs.pkp.sfu.ca:article/61334Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2023-06-07T17:41:31Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in Brazil
Influência do El Niño e La Niña na produtividade de plantios de Eucalipto em distintas regiões no Brasil
title Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in Brazil
spellingShingle Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in Brazil
Duarte, Marciel Lelis
ENOS
Clima
Modelagem ecofisiológica
Silvicultura
ENOS
Climate
Ecophysiological modeling
Foresty
title_short Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in Brazil
title_full Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in Brazil
title_fullStr Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in Brazil
title_full_unstemmed Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in Brazil
title_sort Influence of El Niño and La Niña on the productivity of Eucalyptus plantations in different regions in Brazil
author Duarte, Marciel Lelis
author_facet Duarte, Marciel Lelis
Ribeiro, Aristides
author_role author
author2 Ribeiro, Aristides
author2_role author
dc.contributor.author.fl_str_mv Duarte, Marciel Lelis
Ribeiro, Aristides
dc.subject.por.fl_str_mv ENOS
Clima
Modelagem ecofisiológica
Silvicultura
ENOS
Climate
Ecophysiological modeling
Foresty
topic ENOS
Clima
Modelagem ecofisiológica
Silvicultura
ENOS
Climate
Ecophysiological modeling
Foresty
description The aim of this study was to evaluate the influence of the climatic phenomena El Niño and La Niña on the productivity simulated by the 3PG model in Eucalyptus spp. The studies were carried out in areas with clonal planting of eucalyptus in the States of Bahia (BA), Minas Gerais (MG) and Rio Grande do Sul (RS). We worked on the years of occurrence of the El Niño and La Niña events with weak, moderate and strong intensities in the years 1980 to 2015. Simulations of the variables that express planting productivity in each year of these climatic events were made using the 3PG model. The calibration of the model was made from inventory data of the plots worked. The ages of three, five and seven years were assessed throughout the cycle. The averages of states, regions and ages were statistically compared using the Tukey test (p ≤ 5%). The model was able to detect trends attributed to the climatic events of El Niño and La Niña, showing greater volumetric increases in those that presented greater total rainfall. The events in which climatic conditions limiting the growth of plantations occurred, verified a smaller increase in total biomass. The estimated biomass showed greater increases for the organs: wood> root> leaves, respectively.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-28
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://periodicos.ufsm.br/cienciaflorestal/article/view/61334
10.5902/1980509861334
url https://periodicos.ufsm.br/cienciaflorestal/article/view/61334
identifier_str_mv 10.5902/1980509861334
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/61334/51864
dc.rights.driver.fl_str_mv Copyright (c) 2022 Ciência Florestal
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Ciência Florestal
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 33 No. 1 (2023): Publicação Contínua; e61334
Ciência Florestal; v. 33 n. 1 (2023): Publicação Contínua; e61334
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
_version_ 1799944135823589376