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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
30/11/2021 |
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Data da última atualização: |
30/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BARBOSA, R. de S.; PEREIRA, G. F. M.; RIBEIRO, S. S.; HAGE, A. L. F.; COSTA, G. F.; SALOMÃO, R. P.; SCHWARTZ, G. |
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Afiliação: |
RODRIGO DE SOUZA BARBOSA, UFRA; GIZELIA FERREIRA MATOS PEREIRA, Norsk Hydro; SABRINA SANTOS RIBEIRO, UFRA; ANDRE LUIZ FERRERIA HAGE, MPEG; GRACIALDA FERREIRA COSTA, UFRA; RAFAEL PAIVA SALOMÃO, MPEG; GUSTAVO SCHWARTZ, CPATU. |
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Título: |
Key species selection for forest restoration after bauxite mining in the Eastern Amazon. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Ecological Engineering, v. 162, Article 106190, Apr. 2021. |
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DOI: |
https://doi.org/10.1016/j.ecoleng.2021.106190 |
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Idioma: |
Inglês |
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Conteúdo: |
Bauxite mining has caused serious damage on local ecosystems and landscapes in the Eastern Amazon, Brazil. Considering these issues, the objectives of this study were to determine key species and their ecological characteristics that can contribute to forest restoration after bauxite mining. Key species are those with high frequency and abundance in different stages of vegetation succession. Data were obtained from forest inventories before forest slash down to extract bauxite and later subjected to factor analysis. The Phytosociological and Socioeconomic Index (PSI) was calculated with the following variables: abundance, frequency, dominance, live aerial biomass, commercial value of wood, and non-timber forest products of each species. The data comprised 24,600 individuals distributed in 462 species, 224 genera, and 62 families. Seventeen species, selected by PSI, were the most representative to restore areas after bauxite mining in the Eastern Amazon. The families with the highest richness were Lecytidaceae, Sapotaceae, and Fabaceae, representing 64.70% of the key species. Regarding abundance, the families Lecytidaceae, Urticaceae, and Fabaceae accounted for more than 75% of the individuals belonging to the key species. The 17 selected species belonged to the following ecological groups: late secondary (10), climax (5), initial secondary (1), and pioneer (1). The ecological knowledge of the selected species is important to plan and establish forest restoration projects, since ecological processes and functions can evolve n a more rapid and effective way. MenosBauxite mining has caused serious damage on local ecosystems and landscapes in the Eastern Amazon, Brazil. Considering these issues, the objectives of this study were to determine key species and their ecological characteristics that can contribute to forest restoration after bauxite mining. Key species are those with high frequency and abundance in different stages of vegetation succession. Data were obtained from forest inventories before forest slash down to extract bauxite and later subjected to factor analysis. The Phytosociological and Socioeconomic Index (PSI) was calculated with the following variables: abundance, frequency, dominance, live aerial biomass, commercial value of wood, and non-timber forest products of each species. The data comprised 24,600 individuals distributed in 462 species, 224 genera, and 62 families. Seventeen species, selected by PSI, were the most representative to restore areas after bauxite mining in the Eastern Amazon. The families with the highest richness were Lecytidaceae, Sapotaceae, and Fabaceae, representing 64.70% of the key species. Regarding abundance, the families Lecytidaceae, Urticaceae, and Fabaceae accounted for more than 75% of the individuals belonging to the key species. The 17 selected species belonged to the following ecological groups: late secondary (10), climax (5), initial secondary (1), and pioneer (1). The ecological knowledge of the selected species is important to plan and establish forest restoration projects, si... Mostrar Tudo |
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Palavras-Chave: |
Restauração florestal. |
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Thesagro: |
Ecologia Florestal; Mineração. |
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Thesaurus Nal: |
Forest ecology. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02366naa a2200253 a 4500
001 2136855
005 2021-11-30
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.ecoleng.2021.106190$2DOI
100 1 $aBARBOSA, R. de S.
245 $aKey species selection for forest restoration after bauxite mining in the Eastern Amazon.$h[electronic resource]
260 $c2021
520 $aBauxite mining has caused serious damage on local ecosystems and landscapes in the Eastern Amazon, Brazil. Considering these issues, the objectives of this study were to determine key species and their ecological characteristics that can contribute to forest restoration after bauxite mining. Key species are those with high frequency and abundance in different stages of vegetation succession. Data were obtained from forest inventories before forest slash down to extract bauxite and later subjected to factor analysis. The Phytosociological and Socioeconomic Index (PSI) was calculated with the following variables: abundance, frequency, dominance, live aerial biomass, commercial value of wood, and non-timber forest products of each species. The data comprised 24,600 individuals distributed in 462 species, 224 genera, and 62 families. Seventeen species, selected by PSI, were the most representative to restore areas after bauxite mining in the Eastern Amazon. The families with the highest richness were Lecytidaceae, Sapotaceae, and Fabaceae, representing 64.70% of the key species. Regarding abundance, the families Lecytidaceae, Urticaceae, and Fabaceae accounted for more than 75% of the individuals belonging to the key species. The 17 selected species belonged to the following ecological groups: late secondary (10), climax (5), initial secondary (1), and pioneer (1). The ecological knowledge of the selected species is important to plan and establish forest restoration projects, since ecological processes and functions can evolve n a more rapid and effective way.
650 $aForest ecology
650 $aEcologia Florestal
650 $aMineração
653 $aRestauração florestal
700 1 $aPEREIRA, G. F. M.
700 1 $aRIBEIRO, S. S.
700 1 $aHAGE, A. L. F.
700 1 $aCOSTA, G. F.
700 1 $aSALOMÃO, R. P.
700 1 $aSCHWARTZ, G.
773 $tEcological Engineering$gv. 162, Article 106190, Apr. 2021.
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