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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
23/03/2009 |
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Data da última atualização: |
24/03/2023 |
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Tipo da produção científica: |
Documentos |
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Autoria: |
MENDONÇA-SANTOS, M. de L.; ANTUNES, F. dos S.; CALDERANO, S. B.; SANTOS, H. G. dos; POLIVANOV, H.; CAMPOS, T. M. P. de; ZARONI, M. J.; DONAGEMMA, G. K.; AMARAL, C. P. do. |
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Afiliação: |
MARIA DE LOURDES M SANTOS BREFIN, CNPS; FRANKLIN DOS SANTOS ANTUNES, PUC-RJ; SEBASTIAO BARREIROS CALDERANO, CNPS; HUMBERTO GONCALVES DOS SANTOS, CNPS; HELENA POLIVANOV, UFRJ; TACIO MAURO PEREIRA DE CAMPOS, PUC-RJ; MARIA JOSE ZARONI, CNPS; GUILHERME KANGUSSU DONAGEMMA, CNPS; CLÁUDIO PALMEIRO DO AMARAL, UERJ. |
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Título: |
Correlação pedológico-geotécnica do Município do Rio de Janeiro. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Rio de Janeiro: Embrapa Solos, 2009. |
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Páginas: |
46 p. |
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Descrição Física: |
il. color. |
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Série: |
(Embrapa Solos. Documentos, 117). |
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ISSN: |
1517-2627 |
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Idioma: |
Português |
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Conteúdo: |
A correlação direta entre o conhecimento gerado nos levantamentos pedológicos e o seu aproveitamento para os diagnósticos geotécnicos preliminares dos problemas que afetam o uso do solo e o meio ambiente é o objetivo deste trabalho. |
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Palavras-Chave: |
Classes de solos; Correlação pedológico-geotécnica; Unidades pedogeotécnicas. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CNPS-2010/13993/1/doc117-2009-pedologia-rio-de-janeiro.pdf
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Marc: |
LEADER 01060nam a2200277 a 4500
001 1335553
005 2023-03-24
008 2009 bl uuuu u0uu1 u #d
022 $a1517-2627
100 1 $aMENDONÇA-SANTOS, M. de L.
245 $aCorrelação pedológico-geotécnica do Município do Rio de Janeiro.
260 $aRio de Janeiro: Embrapa Solos$c2009
300 $a46 p.$cil. color.
490 $a(Embrapa Solos. Documentos, 117).
520 $aA correlação direta entre o conhecimento gerado nos levantamentos pedológicos e o seu aproveitamento para os diagnósticos geotécnicos preliminares dos problemas que afetam o uso do solo e o meio ambiente é o objetivo deste trabalho.
653 $aClasses de solos
653 $aCorrelação pedológico-geotécnica
653 $aUnidades pedogeotécnicas
700 1 $aANTUNES, F. dos S.
700 1 $aCALDERANO, S. B.
700 1 $aSANTOS, H. G. dos
700 1 $aPOLIVANOV, H.
700 1 $aCAMPOS, T. M. P. de
700 1 $aZARONI, M. J.
700 1 $aDONAGEMMA, G. K.
700 1 $aAMARAL, C. P. do
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Registro original: |
Embrapa Solos (CNPS) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Acre. Para informações adicionais entre em contato com cpafac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
04/06/2007 |
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Data da última atualização: |
28/07/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
WADT, L. H. de O.; KAINER, K. A.; GOMES-SILVA, D. A. P. |
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Afiliação: |
LUCIA HELENA DE OLIVEIRA WADT, CPAF-AC; Karen A. Kainer, University of Florida; Daisy A. P. Gomes Silva, CNPq. |
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Título: |
Population structure and nut yield of a Bertholletia excelsa stand in southwestern Amazonia. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
Forest Ecology and Management, Amsterdam, v. 211, n. 3, p. 371-384, June 2005. |
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ISSN: |
0378-1127 |
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Idioma: |
Inglês |
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Conteúdo: |
Although Brazil nut (B. excelsa) is often touted as one of the most economically successful NTFPs, little is known about the population structure of this species within its natural range in Southwestern Amazonia or ecological factors that affect fruit production. Since these are considered fundamental for sustainable resource management, we examined a natural Brazil nut stand in an extractive reserve in Acre, Brazil, posing the following questions: (1) What is the spatial distribution, species density, and size 'class structure of B. excelsa' and (2) What tree-level factors influence Brazil nut production? In a 420 ha census, 568 trees - 10 cm diameter at breast height (dbh) were counted, resulting in a density of 1.35 trees ha-1. Based on the nearest-neighbor method, an index of aggregation (R) of 0.77 indicated a rejection of the null hypothesis of a strictly random distribution pattern. Yet, this value suggests a much greater tendency toward randomness than either clumping or uniformity. Our data do not show the commonly reported existence of groves, referring to clearly defined clusters of 50 to several hundred trees separated from similar clusters by great distances. Almost 1/4 of the population (23%) was composed of non-reproductive juveniles. Maximum R2 improvement analysis applied to four distinct diameter classes provided insight into the dynamics of production-related variables over the species life cycle. While dbh explained 1/3 of production variance (R2 = 0.3360) in the smallest diameter class (10 cm - dbh < 50 cm), which included those in the process of reaching reproductive maturity, crown form best explained production variance of very large trees (dbh - 100 cm). Results also demonstrated a significant negative correlation between crown vine load and production of trees ? 50 cm dbh (r = -0.13, P = 0.008), suggesting the need for further study on vine cutting as a possible silvicultural treatment for enhancing nut yields. MenosAlthough Brazil nut (B. excelsa) is often touted as one of the most economically successful NTFPs, little is known about the population structure of this species within its natural range in Southwestern Amazonia or ecological factors that affect fruit production. Since these are considered fundamental for sustainable resource management, we examined a natural Brazil nut stand in an extractive reserve in Acre, Brazil, posing the following questions: (1) What is the spatial distribution, species density, and size 'class structure of B. excelsa' and (2) What tree-level factors influence Brazil nut production? In a 420 ha census, 568 trees - 10 cm diameter at breast height (dbh) were counted, resulting in a density of 1.35 trees ha-1. Based on the nearest-neighbor method, an index of aggregation (R) of 0.77 indicated a rejection of the null hypothesis of a strictly random distribution pattern. Yet, this value suggests a much greater tendency toward randomness than either clumping or uniformity. Our data do not show the commonly reported existence of groves, referring to clearly defined clusters of 50 to several hundred trees separated from similar clusters by great distances. Almost 1/4 of the population (23%) was composed of non-reproductive juveniles. Maximum R2 improvement analysis applied to four distinct diameter classes provided insight into the dynamics of production-related variables over the species life cycle. While dbh explained 1/3 of production variance (R2 = 0.3360... Mostrar Tudo |
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Palavras-Chave: |
Acre; Amazônia Ocidental; Amazonia Suroeste; Castanha-do-brasil; Densidade de espécies; Distribución espacial; Distribuição espacial; Estructura poblacional; Estrutura populacional; Nuez del Brasil; RESEX Chico Mendes (AC); Southwestern Amazon; Sudoeste da Amazônia. |
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Thesagro: |
Bertholletia excelsa; Castanha do pará. |
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Thesaurus NAL: |
Brazil nuts; Population structure; Spatial distribution. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 03128naa a2200373 a 4500
001 1506326
005 2021-07-28
008 2005 bl uuuu u00u1 u #d
022 $a0378-1127
100 1 $aWADT, L. H. de O.
245 $aPopulation structure and nut yield of a Bertholletia excelsa stand in southwestern Amazonia.$h[electronic resource]
260 $c2005
520 $aAlthough Brazil nut (B. excelsa) is often touted as one of the most economically successful NTFPs, little is known about the population structure of this species within its natural range in Southwestern Amazonia or ecological factors that affect fruit production. Since these are considered fundamental for sustainable resource management, we examined a natural Brazil nut stand in an extractive reserve in Acre, Brazil, posing the following questions: (1) What is the spatial distribution, species density, and size 'class structure of B. excelsa' and (2) What tree-level factors influence Brazil nut production? In a 420 ha census, 568 trees - 10 cm diameter at breast height (dbh) were counted, resulting in a density of 1.35 trees ha-1. Based on the nearest-neighbor method, an index of aggregation (R) of 0.77 indicated a rejection of the null hypothesis of a strictly random distribution pattern. Yet, this value suggests a much greater tendency toward randomness than either clumping or uniformity. Our data do not show the commonly reported existence of groves, referring to clearly defined clusters of 50 to several hundred trees separated from similar clusters by great distances. Almost 1/4 of the population (23%) was composed of non-reproductive juveniles. Maximum R2 improvement analysis applied to four distinct diameter classes provided insight into the dynamics of production-related variables over the species life cycle. While dbh explained 1/3 of production variance (R2 = 0.3360) in the smallest diameter class (10 cm - dbh < 50 cm), which included those in the process of reaching reproductive maturity, crown form best explained production variance of very large trees (dbh - 100 cm). Results also demonstrated a significant negative correlation between crown vine load and production of trees ? 50 cm dbh (r = -0.13, P = 0.008), suggesting the need for further study on vine cutting as a possible silvicultural treatment for enhancing nut yields.
650 $aBrazil nuts
650 $aPopulation structure
650 $aSpatial distribution
650 $aBertholletia excelsa
650 $aCastanha do pará
653 $aAcre
653 $aAmazônia Ocidental
653 $aAmazonia Suroeste
653 $aCastanha-do-brasil
653 $aDensidade de espécies
653 $aDistribución espacial
653 $aDistribuição espacial
653 $aEstructura poblacional
653 $aEstrutura populacional
653 $aNuez del Brasil
653 $aRESEX Chico Mendes (AC)
653 $aSouthwestern Amazon
653 $aSudoeste da Amazônia
700 1 $aKAINER, K. A.
700 1 $aGOMES-SILVA, D. A. P.
773 $tForest Ecology and Management, Amsterdam$gv. 211, n. 3, p. 371-384, June 2005.
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