SUCCESSIONAL STAGES OF SANTA CATARINA ATLANTIC SUBTROPICAL EVERGREEN RAINFOREST: A CLASSIFICATION METHOD PROPOSAL

ABSTRACT In Santa Catarina State, forest classification in successional stages is supported by the National Council of the Environment (CONAMA) Resolution. However, this classification presents several inconsistencies. This study aimed to evaluate the classification accuracy of three classifications schemes of successional stages proposed for the Subtropical Atlantic Evergreen Rainforest of the Santa Catarina State. All schemes are based on threshold values of mean height, mean diameter at breast height, and basal area to distinguish between stages. We used structural and diversity data from 207 sample plots within the Santa Catarina’s State Subtropical Rainforest region to classify the respective stands according to the schemes. The classification accuracy of each scheme was evaluated through the application of linear discriminant analysis (LDA). We constructed a predictive equation using the results of the LDA, from the scheme that presented highest classification accuracy. The current classification (CONAMA Resolution) showed an average of 81.87% of classification accuracy, while Scenario A presented 83.73% and Scenario B 78.67%. From Scenario A, we created a predictive equation based on structural and diversity variables. This equation may be used to classify other forest sites, constituting a new proposal for the secondary vegetation classification in Santa Catarina’s State Subtropical Rainforest.

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Main Authors: Pastório,Fábio Fiamoncini, Gasper,André Luís de, Vibrans,Alexander Christian
Format: Digital revista
Language:English
Published: UFLA - Universidade Federal de Lavras 2020
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-77602020000200162
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spelling oai:scielo:S0104-776020200002001622020-09-28SUCCESSIONAL STAGES OF SANTA CATARINA ATLANTIC SUBTROPICAL EVERGREEN RAINFOREST: A CLASSIFICATION METHOD PROPOSALPastório,Fábio FiamonciniGasper,André Luís deVibrans,Alexander Christian Forest succession Secondary forests Structural variables Linear discriminant analysis ABSTRACT In Santa Catarina State, forest classification in successional stages is supported by the National Council of the Environment (CONAMA) Resolution. However, this classification presents several inconsistencies. This study aimed to evaluate the classification accuracy of three classifications schemes of successional stages proposed for the Subtropical Atlantic Evergreen Rainforest of the Santa Catarina State. All schemes are based on threshold values of mean height, mean diameter at breast height, and basal area to distinguish between stages. We used structural and diversity data from 207 sample plots within the Santa Catarina’s State Subtropical Rainforest region to classify the respective stands according to the schemes. The classification accuracy of each scheme was evaluated through the application of linear discriminant analysis (LDA). We constructed a predictive equation using the results of the LDA, from the scheme that presented highest classification accuracy. The current classification (CONAMA Resolution) showed an average of 81.87% of classification accuracy, while Scenario A presented 83.73% and Scenario B 78.67%. From Scenario A, we created a predictive equation based on structural and diversity variables. This equation may be used to classify other forest sites, constituting a new proposal for the secondary vegetation classification in Santa Catarina’s State Subtropical Rainforest.info:eu-repo/semantics/openAccessUFLA - Universidade Federal de LavrasCERNE v.26 n.2 20202020-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-77602020000200162en10.1590/01047760202026022651
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country Brasil
countrycode BR
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access En linea
databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Pastório,Fábio Fiamoncini
Gasper,André Luís de
Vibrans,Alexander Christian
spellingShingle Pastório,Fábio Fiamoncini
Gasper,André Luís de
Vibrans,Alexander Christian
SUCCESSIONAL STAGES OF SANTA CATARINA ATLANTIC SUBTROPICAL EVERGREEN RAINFOREST: A CLASSIFICATION METHOD PROPOSAL
author_facet Pastório,Fábio Fiamoncini
Gasper,André Luís de
Vibrans,Alexander Christian
author_sort Pastório,Fábio Fiamoncini
title SUCCESSIONAL STAGES OF SANTA CATARINA ATLANTIC SUBTROPICAL EVERGREEN RAINFOREST: A CLASSIFICATION METHOD PROPOSAL
title_short SUCCESSIONAL STAGES OF SANTA CATARINA ATLANTIC SUBTROPICAL EVERGREEN RAINFOREST: A CLASSIFICATION METHOD PROPOSAL
title_full SUCCESSIONAL STAGES OF SANTA CATARINA ATLANTIC SUBTROPICAL EVERGREEN RAINFOREST: A CLASSIFICATION METHOD PROPOSAL
title_fullStr SUCCESSIONAL STAGES OF SANTA CATARINA ATLANTIC SUBTROPICAL EVERGREEN RAINFOREST: A CLASSIFICATION METHOD PROPOSAL
title_full_unstemmed SUCCESSIONAL STAGES OF SANTA CATARINA ATLANTIC SUBTROPICAL EVERGREEN RAINFOREST: A CLASSIFICATION METHOD PROPOSAL
title_sort successional stages of santa catarina atlantic subtropical evergreen rainforest: a classification method proposal
description ABSTRACT In Santa Catarina State, forest classification in successional stages is supported by the National Council of the Environment (CONAMA) Resolution. However, this classification presents several inconsistencies. This study aimed to evaluate the classification accuracy of three classifications schemes of successional stages proposed for the Subtropical Atlantic Evergreen Rainforest of the Santa Catarina State. All schemes are based on threshold values of mean height, mean diameter at breast height, and basal area to distinguish between stages. We used structural and diversity data from 207 sample plots within the Santa Catarina’s State Subtropical Rainforest region to classify the respective stands according to the schemes. The classification accuracy of each scheme was evaluated through the application of linear discriminant analysis (LDA). We constructed a predictive equation using the results of the LDA, from the scheme that presented highest classification accuracy. The current classification (CONAMA Resolution) showed an average of 81.87% of classification accuracy, while Scenario A presented 83.73% and Scenario B 78.67%. From Scenario A, we created a predictive equation based on structural and diversity variables. This equation may be used to classify other forest sites, constituting a new proposal for the secondary vegetation classification in Santa Catarina’s State Subtropical Rainforest.
publisher UFLA - Universidade Federal de Lavras
publishDate 2020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-77602020000200162
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AT gasperandreluisde successionalstagesofsantacatarinaatlanticsubtropicalevergreenrainforestaclassificationmethodproposal
AT vibransalexanderchristian successionalstagesofsantacatarinaatlanticsubtropicalevergreenrainforestaclassificationmethodproposal
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