Preliminary indicators for restoration assessment in riparian reforestations

Detalhes bibliográficos
Autor(a) principal: Reis, Daniele Nogueira dos
Data de Publicação: 2014
Outros Autores: Davide, Antonio Claudio, Furtado Ferreira, Daniel
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/757
Resumo: The restoration success in forest ecosystems can be adequately assessed by correct selection of indicators that represent the achievement of established goals. The discriminant analysis technique on indicators selection consists of separation and classification of new observations on pre-defined groups, reducing the number of variables that are discriminant functions linearly dependent of the original variables. This study aims to define an index composed by structural attributes (number of species and individuals planted, height, basal area, number of regenerant species and individuals) and chemical and pedological soil attributes to classify riparian reforested environments regarding to restoration taking as reference reforestation around the the Volta Grande reservoir, Minas Gerais State, Brazil. Eleven variables were used for previous classification of plots in partially restored or unrestored groups and also used for discriminant analysis. Variables selected by the discriminant function generated were: number of species and basal area of planted individuals, number of regenerant species and individuals litter accumulation and soil cation exchange capacity. Compatibility of 98% from previous plot classifications and after index formation, show the representativeness of the selected variables on evaluation of restoration of riparian reforestations.
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spelling Preliminary indicators for restoration assessment in riparian reforestationsIndicadores preliminares para avaliação da restauração em reflorestamentos de ambientes ciliaresÁreas de preservação permanenteFunção discriminanteMonitoramentoPermanent preservation areasDiscriminant functionMonitoringThe restoration success in forest ecosystems can be adequately assessed by correct selection of indicators that represent the achievement of established goals. The discriminant analysis technique on indicators selection consists of separation and classification of new observations on pre-defined groups, reducing the number of variables that are discriminant functions linearly dependent of the original variables. This study aims to define an index composed by structural attributes (number of species and individuals planted, height, basal area, number of regenerant species and individuals) and chemical and pedological soil attributes to classify riparian reforested environments regarding to restoration taking as reference reforestation around the the Volta Grande reservoir, Minas Gerais State, Brazil. Eleven variables were used for previous classification of plots in partially restored or unrestored groups and also used for discriminant analysis. Variables selected by the discriminant function generated were: number of species and basal area of planted individuals, number of regenerant species and individuals litter accumulation and soil cation exchange capacity. Compatibility of 98% from previous plot classifications and after index formation, show the representativeness of the selected variables on evaluation of restoration of riparian reforestations.O sucesso da restauração em ecossistemas florestais pode ser avaliado pela seleção correta de indicadores que sejam representativos da consecução dos objetivos estabelecidos. A seleção pela técnica da análise discriminante consiste da separação e classificação de novas observações em grupos previamente definidos, reduzindo o número de variáveis, que são funções discriminantes linearmente dependentes das variáveis originais. O presente estudo objetiva definir um índice composto por atributos estruturais (número de espécies e indivíduos plantados, altura, área basal, número de espécies e indivíduos regenerantes) e atributos químicos do solo e pedológicos, para classificar reflorestamentos em ambientes ciliares, com relação à restauração tendo, como base, reflorestamento no entorno do reservatório da Usina Hidrelétrica de Volta Grande, MG. Onze variáveis foram utilizadas para a classificação prévia das parcelas nos grupos, como parcialmente restauradas ou não restauradas, e na análise discriminante realizada em seguida. As variáveis selecionadas pela função discriminante gerada foram: número de espécies e área basal dos indivíduos plantados, número de espécies e indivíduos regenerantes, acúmulo de serapilheira e capacidade de troca de cátions do solo. A compatibilidade de 98% entre a classificação prévia das parcelas e após a formação do índice demonstram a representatividade das variáveis selecionadas na avaliação da restauração dos reflorestamentos dos ambientes ciliares estudados.Embrapa Florestas2014-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/75710.4336/2014.pfb.34.80.757Pesquisa Florestal Brasileira; v. 34 n. 80 (2014): out./dez.; 375-389Pesquisa Florestal Brasileira; Vol. 34 No. 80 (2014): out./dez.; 375-3891983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/757/401Reis, Daniele Nogueira dosDavide, Antonio ClaudioFurtado Ferreira, Danielinfo:eu-repo/semantics/openAccess2017-04-28T12:49:00Zoai:pfb.cnpf.embrapa.br/pfb:article/757Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2017-04-28T12:49Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Preliminary indicators for restoration assessment in riparian reforestations
Indicadores preliminares para avaliação da restauração em reflorestamentos de ambientes ciliares
title Preliminary indicators for restoration assessment in riparian reforestations
spellingShingle Preliminary indicators for restoration assessment in riparian reforestations
Reis, Daniele Nogueira dos
Áreas de preservação permanente
Função discriminante
Monitoramento
Permanent preservation areas
Discriminant function
Monitoring
title_short Preliminary indicators for restoration assessment in riparian reforestations
title_full Preliminary indicators for restoration assessment in riparian reforestations
title_fullStr Preliminary indicators for restoration assessment in riparian reforestations
title_full_unstemmed Preliminary indicators for restoration assessment in riparian reforestations
title_sort Preliminary indicators for restoration assessment in riparian reforestations
author Reis, Daniele Nogueira dos
author_facet Reis, Daniele Nogueira dos
Davide, Antonio Claudio
Furtado Ferreira, Daniel
author_role author
author2 Davide, Antonio Claudio
Furtado Ferreira, Daniel
author2_role author
author
dc.contributor.author.fl_str_mv Reis, Daniele Nogueira dos
Davide, Antonio Claudio
Furtado Ferreira, Daniel
dc.subject.por.fl_str_mv Áreas de preservação permanente
Função discriminante
Monitoramento
Permanent preservation areas
Discriminant function
Monitoring
topic Áreas de preservação permanente
Função discriminante
Monitoramento
Permanent preservation areas
Discriminant function
Monitoring
description The restoration success in forest ecosystems can be adequately assessed by correct selection of indicators that represent the achievement of established goals. The discriminant analysis technique on indicators selection consists of separation and classification of new observations on pre-defined groups, reducing the number of variables that are discriminant functions linearly dependent of the original variables. This study aims to define an index composed by structural attributes (number of species and individuals planted, height, basal area, number of regenerant species and individuals) and chemical and pedological soil attributes to classify riparian reforested environments regarding to restoration taking as reference reforestation around the the Volta Grande reservoir, Minas Gerais State, Brazil. Eleven variables were used for previous classification of plots in partially restored or unrestored groups and also used for discriminant analysis. Variables selected by the discriminant function generated were: number of species and basal area of planted individuals, number of regenerant species and individuals litter accumulation and soil cation exchange capacity. Compatibility of 98% from previous plot classifications and after index formation, show the representativeness of the selected variables on evaluation of restoration of riparian reforestations.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-30
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://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/757
10.4336/2014.pfb.34.80.757
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/757
identifier_str_mv 10.4336/2014.pfb.34.80.757
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/757/401
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 34 n. 80 (2014): out./dez.; 375-389
Pesquisa Florestal Brasileira; Vol. 34 No. 80 (2014): out./dez.; 375-389
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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