Strategies for predicting the diametric structure in Mixed Ombrophilous Forest
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/63311 |
Resumo: | In order for forest to be used in a sustainable way, it is important to know the forests' structure in the future, which can be estimated through the prognosis of the diametric distribution. Projections such as these can assist in the decision-making process for management and preservation, and it is necessary to develop strategies seeking improvement of these estimates. Thus, this study aimed to evaluate the effect of forest stratification on the prediction of the diametric structure in a Mixed Ombrophilous Forest. Data from 26 permanent plots (1 ha) were analyzed in Três Barras National Forest, in the state of Santa Catarina. Each primary unit was divided into 20 secondary units of 0.05 ha, measured in 2004, 2009 and 2016. Within multivariate statistics of cluster analysis, the stratification of secondary units was performed using as attributes the average annual increment in diameter, basal area, and the number of stems of each secondary unit. Using the Movement Ratio, the forest's diametric distribution for the year 2016 was projected. Using as its basis the data from the 2004 and 2009 inventories, the projection was carried out for the forest as a whole. However, the projection for the stratified forest was conducted based only on the inventory for the year 2009. The projection’s consistency was evaluated by the Komolgorov-Smirnov test and the Reynolds Index. The cluster analysis resulted in three strata and the prediction formulated for the stratified forest had the best performance, both in total number of stems and in the first diametric classes, where the greatest variations between observed and estimated frequency normally occur. The stratification of the forest improves the estimate and provides more accurate results in the prediction of the diametric structure, being an important tool to be used in extensive heterogeneous forest areas. |
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Strategies for predicting the diametric structure in Mixed Ombrophilous ForestEstratégias de projeção da estrutura diamétrica em Floresta Ombrófila MistaRazão de movimentoManejo de florestas nativasEstratificação da florestaMovement RatioNative Forest ManagementForest stratificationIn order for forest to be used in a sustainable way, it is important to know the forests' structure in the future, which can be estimated through the prognosis of the diametric distribution. Projections such as these can assist in the decision-making process for management and preservation, and it is necessary to develop strategies seeking improvement of these estimates. Thus, this study aimed to evaluate the effect of forest stratification on the prediction of the diametric structure in a Mixed Ombrophilous Forest. Data from 26 permanent plots (1 ha) were analyzed in Três Barras National Forest, in the state of Santa Catarina. Each primary unit was divided into 20 secondary units of 0.05 ha, measured in 2004, 2009 and 2016. Within multivariate statistics of cluster analysis, the stratification of secondary units was performed using as attributes the average annual increment in diameter, basal area, and the number of stems of each secondary unit. Using the Movement Ratio, the forest's diametric distribution for the year 2016 was projected. Using as its basis the data from the 2004 and 2009 inventories, the projection was carried out for the forest as a whole. However, the projection for the stratified forest was conducted based only on the inventory for the year 2009. The projection’s consistency was evaluated by the Komolgorov-Smirnov test and the Reynolds Index. The cluster analysis resulted in three strata and the prediction formulated for the stratified forest had the best performance, both in total number of stems and in the first diametric classes, where the greatest variations between observed and estimated frequency normally occur. The stratification of the forest improves the estimate and provides more accurate results in the prediction of the diametric structure, being an important tool to be used in extensive heterogeneous forest areas.Para que as florestas possam ser usadas de forma sustentável, é importante conhecer sua estrutura no futuro, que pode ser estimada por meio da prognose da distribuição diamétrica. Como essas projeções podem auxiliar na tomada de decisão para manejo e preservação, é preciso desenvolver estratégias visando melhorias das estimativas. Com isso, este estudo teve como objetivo avaliar o efeito da estratificação na prognose da distribuição diamétrica de uma Floresta Ombrófila Mista. Para isso, foram analisados os dados provenientes de 26 parcelas permanentes (1 ha) na Floresta Nacional de Três Barras, no estado de Santa Catarina. Cada unidade primária foi dividida em 20 unidades secundárias de 0,05 ha, mensuradas em 2004, 2009 e 2016. Por meio da estatística multivariada de análise de agrupamento, foi realizada a estratificação das unidades secundárias usando como atributos o incremento periódico anual médio em diâmetro, área basal e o número de fustes de cada unidade secundária. Por meio da Razão de Movimento, foi projetada a distribuição diamétrica da floresta para o ano de 2016. Usando como base os dados dos inventários de 2004 e 2009, a projeção foi realizada para a floresta como um todo. No entanto, a projeção para a floresta estratificada foi realizada com base no inventário apenas do ano de 2009. A consistência das projeções foi avaliada pelo teste de Kolmogorov-Smirnov e pelo Índice de Reynolds. A análise de agrupamento resultou em três estratos, e a projeção realizada para a floresta estratificada apresentou o melhor desempenho, tanto no número total de fustes quanto nas primeiras classes diamétricas, onde geralmente ocorrem as maiores variações entre a frequência observada e estimada. A estratificação da floresta melhora as estimativas e proporciona resultados mais precisos na projeção da estrutura diamétrica, sendo uma ferramenta importante para ser usada em áreas extensas e heterogêneas.Universidade Federal de Santa Maria2022-06-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmltext/xmlhttps://periodicos.ufsm.br/cienciaflorestal/article/view/6331110.5902/1980509863311Ciência Florestal; Vol. 32 No. 2 (2022); 902-922Ciência Florestal; v. 32 n. 2 (2022); 902-9221980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/63311/47549https://periodicos.ufsm.br/cienciaflorestal/article/view/63311/48368https://periodicos.ufsm.br/cienciaflorestal/article/view/63311/50781Copyright (c) 2022 Ciência Florestalhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessGomes, Marina da SilveiraDias, Andrea NogueiraFigueiredo Filho, AfonsoRetslaff, Fabiane Aparecida de SouzaLanssanova, Luciano Rodrigo2023-03-23T11:43:16Zoai:ojs.pkp.sfu.ca:article/63311Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2023-03-23T11:43:16Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Strategies for predicting the diametric structure in Mixed Ombrophilous Forest Estratégias de projeção da estrutura diamétrica em Floresta Ombrófila Mista |
title |
Strategies for predicting the diametric structure in Mixed Ombrophilous Forest |
spellingShingle |
Strategies for predicting the diametric structure in Mixed Ombrophilous Forest Gomes, Marina da Silveira Razão de movimento Manejo de florestas nativas Estratificação da floresta Movement Ratio Native Forest Management Forest stratification |
title_short |
Strategies for predicting the diametric structure in Mixed Ombrophilous Forest |
title_full |
Strategies for predicting the diametric structure in Mixed Ombrophilous Forest |
title_fullStr |
Strategies for predicting the diametric structure in Mixed Ombrophilous Forest |
title_full_unstemmed |
Strategies for predicting the diametric structure in Mixed Ombrophilous Forest |
title_sort |
Strategies for predicting the diametric structure in Mixed Ombrophilous Forest |
author |
Gomes, Marina da Silveira |
author_facet |
Gomes, Marina da Silveira Dias, Andrea Nogueira Figueiredo Filho, Afonso Retslaff, Fabiane Aparecida de Souza Lanssanova, Luciano Rodrigo |
author_role |
author |
author2 |
Dias, Andrea Nogueira Figueiredo Filho, Afonso Retslaff, Fabiane Aparecida de Souza Lanssanova, Luciano Rodrigo |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Gomes, Marina da Silveira Dias, Andrea Nogueira Figueiredo Filho, Afonso Retslaff, Fabiane Aparecida de Souza Lanssanova, Luciano Rodrigo |
dc.subject.por.fl_str_mv |
Razão de movimento Manejo de florestas nativas Estratificação da floresta Movement Ratio Native Forest Management Forest stratification |
topic |
Razão de movimento Manejo de florestas nativas Estratificação da floresta Movement Ratio Native Forest Management Forest stratification |
description |
In order for forest to be used in a sustainable way, it is important to know the forests' structure in the future, which can be estimated through the prognosis of the diametric distribution. Projections such as these can assist in the decision-making process for management and preservation, and it is necessary to develop strategies seeking improvement of these estimates. Thus, this study aimed to evaluate the effect of forest stratification on the prediction of the diametric structure in a Mixed Ombrophilous Forest. Data from 26 permanent plots (1 ha) were analyzed in Três Barras National Forest, in the state of Santa Catarina. Each primary unit was divided into 20 secondary units of 0.05 ha, measured in 2004, 2009 and 2016. Within multivariate statistics of cluster analysis, the stratification of secondary units was performed using as attributes the average annual increment in diameter, basal area, and the number of stems of each secondary unit. Using the Movement Ratio, the forest's diametric distribution for the year 2016 was projected. Using as its basis the data from the 2004 and 2009 inventories, the projection was carried out for the forest as a whole. However, the projection for the stratified forest was conducted based only on the inventory for the year 2009. The projection’s consistency was evaluated by the Komolgorov-Smirnov test and the Reynolds Index. The cluster analysis resulted in three strata and the prediction formulated for the stratified forest had the best performance, both in total number of stems and in the first diametric classes, where the greatest variations between observed and estimated frequency normally occur. The stratification of the forest improves the estimate and provides more accurate results in the prediction of the diametric structure, being an important tool to be used in extensive heterogeneous forest areas. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-24 |
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/63311 10.5902/1980509863311 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/63311 |
identifier_str_mv |
10.5902/1980509863311 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/63311/47549 https://periodicos.ufsm.br/cienciaflorestal/article/view/63311/48368 https://periodicos.ufsm.br/cienciaflorestal/article/view/63311/50781 |
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 text/html text/xml |
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. 32 No. 2 (2022); 902-922 Ciência Florestal; v. 32 n. 2 (2022); 902-922 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 |
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1799944135848755200 |