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| 1. |  | KAINER, K. A.; WADT, L. H. de O.; STAUDHAMMER, C. L. Contribuição associada aos modos de vida de populações locais e à conservação florestal. In: WADT, L. H. de O.; MAROCCOLO, J. F.; GUEDES, M. C.; SILVA, K. E. da (ed.). Castanha-da-amazônia: estudos sobre a espécie e sua cadeia de valor. Brasília, DF: Embrapa, 2023. cap. 4, p. 81-106. V. 1: Aspectos sociais, econômicos e organizacionais. ODS 2, ODS 3, ODS 8, ODS 11, ODS 12, ODS 13, ODS 17.| Biblioteca(s): Embrapa Rondônia. |
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| 7. | | ROCHWELL, C. A.; KAINER, K. A.; OLIVEIRA, M. V. N. d'.; STAUDHAMMER, C. L.; BARALOTO, C. Logging in bamboo-dominated forests in southwestern Amazonia: caveats and opportunities for smallholder forest management. Forest Ecology and Management, Eveleigh, v. 315, n. 1, p. 202-210, Mar. 2014.| Biblioteca(s): Embrapa Acre. |
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| 9. | | KAINER, K. A.; WADT, L. H. de O.; STAUDHAMMER, C. L. Testing a silvicultural recommendation: Brazil nut responses 10 years after liana cutting. In: IUFRO WORLD CONGRESS, 24., 2014, Salt Lake. Sustaining forests, sustaining people: the role of research. Abstracts... Salt Lake: IUFRO, 2014. p. 139. (The International Forestry Review, v. 16, n. 5). Editado por: John A. Parrota; Cynthia F. Moser; Amy J. Scherzer; Nancy E. Koerth; Daryl R. Lederle.| Biblioteca(s): Embrapa Acre. |
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| 16. | | VASCONCELOS, S. S.; ZARIN, D. J.; ARAÚJO, M. M.; RANGEL-VASCONCELOS, L. G. T.; CARVALHO, C. J. R. de; STAUDHAMMER, C. L.; OLIVEIRA, F. de A. Effects of seasonality, litter removal and dry-season irrigation on litterfall quantity and quality in eastern Amazonian forest regrowth, Brazil. Journal of Tropical Ecology, v. 24, p. 27-38, 2008.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 17. | | KLIMAS, C. A.; KAINER, K. A.; WADT, L. H. de O.; STAUDHAMMER, C. L.; RIGAMONTE-AZEVEDO, V.; CORREIA, M. F.; LIMA, L. M. da S. Control of Carapa guianensis phenology and seed production at multiple scales: a five-year study exploring the influences of tree attributes, habitat heterogeneity and climate cues. Journal of Tropical Ecology, United Kingdom, v. 28, n. 1, p. 105-118, Jan. 2012.| Biblioteca(s): Embrapa Acre. |
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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: |
11/01/2008 |
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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: |
KAINER, K. A.; WADT, L. H. de O.; STAUDHAMMER, C. L. |
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Afiliação: |
K. A. Kainer, University of Florida; LUCIA HELENA DE OLIVEIRA WADT, CPAF-AC; Christina L. Shaudhammer, University of Florida. |
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Título: |
Explaining variation in Brazil nut fruit production. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
Forest Ecology and Management, United Kingdom, v. 250, n. 3, p. 244-255, Oct. 2007. |
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DOI: |
10.1016/j.foreco.2007.05.024 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Brazil nut is widely recognized as the cornerstone of the Amazonian extractive economy. Tight linkages between Brazil nut production, regional income, and intact mature forests have thrust this species into focus as a key component of Amazonian conservation and income generation strategies. Nonetheless, a comprehensive synthesis of factors explaining Brazil nut fruit production variation is lacking. We aimed to address this knowledge gap, asking: (1) What are the rates and annual variation of Bertholletia excelsa fruit production at individual and population levels? (2) What factors explain B. excelsa production variation, focusing on spatial and temporal variables, diameter at breast height (dbh), crown attributes, liana loads, and soil attributes? and (3) Does liana cutting affect fruit production? Our model explained 73% of the variability in fruit production by 140 trees over 5 years. Dbh alone explained >50%, and trees in the middle diameter range (100 cm ? dbh < 150 cm) produced best. Top-producing trees were loosely grouped spatially. Cation exchange capacity and P also explained production variation. The liana load variable was only weakly significant for explaining production variation, and there were no direct significant effects of liana cutting. Cutting, however, did improve crown forms?another highly significant model variable. This, coupled with a weakly significant interaction of liana cutting by year, suggests that liana cutting could improve production over time. In any given year, approximately 25% of the trees produced 72% of the total population production. Annual variation of fruit production at the individual level was relatively high, and at the population level was extremely low, with annual production departing from average only in a year of delayed and reduced rainfall. These results coupled with low synchronicity of fruiting, confirm long-term observations of harvesters that Brazil nut populations exhibit relatively constant fruit production. Results suggest that fruit productivity at the individual tree level could be increased, possibly through experimental liana cutting and/or P amendments. At the population level, Brazil nut collectors could potentially increase efficiency by concentrating collection efforts on consistently high producers and possible production "hotspots". MenosBrazil nut is widely recognized as the cornerstone of the Amazonian extractive economy. Tight linkages between Brazil nut production, regional income, and intact mature forests have thrust this species into focus as a key component of Amazonian conservation and income generation strategies. Nonetheless, a comprehensive synthesis of factors explaining Brazil nut fruit production variation is lacking. We aimed to address this knowledge gap, asking: (1) What are the rates and annual variation of Bertholletia excelsa fruit production at individual and population levels? (2) What factors explain B. excelsa production variation, focusing on spatial and temporal variables, diameter at breast height (dbh), crown attributes, liana loads, and soil attributes? and (3) Does liana cutting affect fruit production? Our model explained 73% of the variability in fruit production by 140 trees over 5 years. Dbh alone explained >50%, and trees in the middle diameter range (100 cm ? dbh < 150 cm) produced best. Top-producing trees were loosely grouped spatially. Cation exchange capacity and P also explained production variation. The liana load variable was only weakly significant for explaining production variation, and there were no direct significant effects of liana cutting. Cutting, however, did improve crown forms?another highly significant model variable. This, coupled with a weakly significant interaction of liana cutting by year, suggests that liana cutting could improve production over ... Mostrar Tudo |
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Palavras-Chave: |
Castanha do brasil; Economía de la producción; Nuez del Brasil; Productos forestales no madereros; Produto florestal não madeireiro (PFNM); Variação da produção. |
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Thesagro: |
Bertholletia excelsa; Castanha do pará; Produtividade. |
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Thesaurus NAL: |
Brazil nuts; Nontimber forest products; Production economics. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 03317naa a2200301 a 4500
001 1505157
005 2021-07-28
008 2007 bl uuuu u00u1 u #d
024 7 $a10.1016/j.foreco.2007.05.024$2DOI
100 1 $aKAINER, K. A.
245 $aExplaining variation in Brazil nut fruit production.$h[electronic resource]
260 $c2007
520 $aBrazil nut is widely recognized as the cornerstone of the Amazonian extractive economy. Tight linkages between Brazil nut production, regional income, and intact mature forests have thrust this species into focus as a key component of Amazonian conservation and income generation strategies. Nonetheless, a comprehensive synthesis of factors explaining Brazil nut fruit production variation is lacking. We aimed to address this knowledge gap, asking: (1) What are the rates and annual variation of Bertholletia excelsa fruit production at individual and population levels? (2) What factors explain B. excelsa production variation, focusing on spatial and temporal variables, diameter at breast height (dbh), crown attributes, liana loads, and soil attributes? and (3) Does liana cutting affect fruit production? Our model explained 73% of the variability in fruit production by 140 trees over 5 years. Dbh alone explained >50%, and trees in the middle diameter range (100 cm ? dbh < 150 cm) produced best. Top-producing trees were loosely grouped spatially. Cation exchange capacity and P also explained production variation. The liana load variable was only weakly significant for explaining production variation, and there were no direct significant effects of liana cutting. Cutting, however, did improve crown forms?another highly significant model variable. This, coupled with a weakly significant interaction of liana cutting by year, suggests that liana cutting could improve production over time. In any given year, approximately 25% of the trees produced 72% of the total population production. Annual variation of fruit production at the individual level was relatively high, and at the population level was extremely low, with annual production departing from average only in a year of delayed and reduced rainfall. These results coupled with low synchronicity of fruiting, confirm long-term observations of harvesters that Brazil nut populations exhibit relatively constant fruit production. Results suggest that fruit productivity at the individual tree level could be increased, possibly through experimental liana cutting and/or P amendments. At the population level, Brazil nut collectors could potentially increase efficiency by concentrating collection efforts on consistently high producers and possible production "hotspots".
650 $aBrazil nuts
650 $aNontimber forest products
650 $aProduction economics
650 $aBertholletia excelsa
650 $aCastanha do pará
650 $aProdutividade
653 $aCastanha do brasil
653 $aEconomía de la producción
653 $aNuez del Brasil
653 $aProductos forestales no madereros
653 $aProduto florestal não madeireiro (PFNM)
653 $aVariação da produção
700 1 $aWADT, L. H. de O.
700 1 $aSTAUDHAMMER, C. L.
773 $tForest Ecology and Management, United Kingdom$gv. 250, n. 3, p. 244-255, Oct. 2007.
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