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| Registros recuperados : 21 | |
| 7. |  | GOMIDE, L. R.; COSTA, E. R. O.; CORRAZZA, A. P.; BIONDI, D. Avaliação paisagística de um trecho da rodovia PR-340, Antonina, Paraná, Brasil. Floresta, Curitiba, v. 40, n.4, p. 701-710, out./dez. 2010.| Biblioteca(s): Embrapa Florestas. |
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| 12. | | COELHO, G. L. N.; CARVALHO, L. M. T. de; GOMIDE, L. R. Modelagem preditiva de distribuição de espécies pioneiras no Estado de Minas Gerais. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 3, p. 207-214, mar. 2016. Título em inglês: Predictive modeling distribution of pioneer species in the state of Minas Gerais, Brazil.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 15. | | SILVA, P. H. da; GOMIDE, L. R.; FIGUEIREDO, E. O.; CARVALHO, L. M. T. de; FERRAZ FILHO, A. C. Optimal selective logging regime and log landing location models: a case study in the Amazon forest. Acta Amazonica, Manaus, v. 48, n. 1, p. 18-27, 2018.| Biblioteca(s): Embrapa Acre. |
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| 17. | | GUEDES, I. C. de L.; MELLO, J. M. de; SILVEIRA, E. M. de O.; MELLO, C. R. de; REIS, A. A. dos; GOMIDE, L. R. Continuidade espacial de características dendrométricas em povoamentos clonais de eucalyptus sp. avaliada ao longo do tempo. Revista Cerne, Lavras, v. 21, n. 4, p. 527-534, out./dez. 2015.| Biblioteca(s): Embrapa Florestas. |
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| 18. | | MORAIS, V. A.; SCOLFORO, J. R. S.; SILVA, C. A.; MELLO, J. M. de; GOMIDE, L. R.; OLIVEIRA, A. D. de. Carbon and biomass stocks in a fragment of cerradão in Minas Gerais state, Brazil. Cerne, Lavras, v. 19, n. 2, p. 237-245, abr./jun. 2013.| Biblioteca(s): Embrapa Florestas. |
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| 19. | | ISAAC JÚNIOR, M. A.; BARBOSA, B. H. G.; GOMIDE, L. R.; CALEGARIO, N.; FIGUEIREDO, E. O.; MORAS FILHO, L. O.; MELO, E. de A.; DANTAS, D. Reduced-impact logging by allocating log-decks using multiobjective evolutionary algorithm in Western Amazon. Revista Árvore, v. 46, e4506, 2021.| Biblioteca(s): Embrapa Acre. |
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| 20. | | LACERDA, T. H. S.; FRANÇA, L. C. de J.; LOPES, I. L. e; LACERDA, S. L. S.; FIGUEIREDO, E. O.; BARBOSA, B. H. G.; SILVA, C. S. J. e; GOMIDE, L. R. Multi‑objective forest harvesting under sustainable and economic principles. Journal of Forestry Research, v. 34, p. 1379-1394, Oct. 2023.| Biblioteca(s): Embrapa Acre. |
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| Registros recuperados : 21 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Amapá. |
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Data corrente: |
18/11/2019 |
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Data da última atualização: |
18/11/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BATISTA, A. P. B.; SCOLFORO, H. F.; MELLO, J. M.; GUEDES, M. C.; TERRA, M. C. N. S.; SCALON, J. D.; GOMIDE, L. R.; SCOLFORO, P. G. V.; COOK, R. L. |
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Afiliação: |
ANDERSON PEDRO BERNARDINA BATISTA, UFLA; HENRIQUE FERRACO SCOLFORO, NORTH CAROLINA STATE UNIVERSITY; JOSÉ MÁRCIO DE MELLO, UFLA; MARCELINO CARNEIRO GUEDES, CPAF-AP; MARCELA CASTRO NUNES SANTOS TERRA, UFLA; JOÃO DOMINGOS SCALON, UFLA; LUCAS REZENDE GOMIDE, UFLA; PAULA GOMIDES VITOR SCOLFORO, UFLA; RACHEL L. COOK, NORTH CAROLINA STATE UNIVERSITY. |
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Título: |
Spatial association of fruit yield of Bertholletia excelsa Bonpl. trees in eastern Amazon. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 441, p. 99-105, June, 2019. |
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DOI: |
https://doi.org/10.1016/j.foreco.2019.03.043 |
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Idioma: |
Inglês |
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Conteúdo: |
Brazil nut (Bertholletia excelsa) is one of the most important non-timber forest product (NTFP) species in the world. Better management and conservation practices will only be possible with an in-depth knowledge of tree species ecology. This study aimed to assess the spatial association of fruit yield of Bertholletia excelsa (B. excelsa) trees in two forest types (old growth terra firme forest and Amazon-cerrado transitional forest) in the Brazilian Amazon. Fruit yield was measured in both forest types during 2010. At each forest type, fruit yield was divided into different yield classes (number of fruits) for subsequent spatial modeling. The bivariate Ripley?s K-function was applied to quantify the spatial association of fruit yield of B. excelsa trees over different fruit yield classes. The results revealed that the forest type influences the spatial association of B. excelsa fruit yield. The old growth terra firme forest presented random spatial association for fruit yield, which implies that fruit yield of B. excelsa trees in this forest type is not limited by tree location and site resources. On the other hand, the Amazon-cerrado transitional forest presented significant negative spatial association for fruit yield across different yield classes, which means that under some conditions fruit yield of a given tree influences the fruit yield of the neighboring tree in this forest type. Site resources in the Amazon-cerrado transitional forest is limited and naturally favors inter- and intra-specific competition. Finally, the results imply the need for adoption of different management and conservation strategies for B. excelsa in different forest types in the Brazilian Amazon. MenosBrazil nut (Bertholletia excelsa) is one of the most important non-timber forest product (NTFP) species in the world. Better management and conservation practices will only be possible with an in-depth knowledge of tree species ecology. This study aimed to assess the spatial association of fruit yield of Bertholletia excelsa (B. excelsa) trees in two forest types (old growth terra firme forest and Amazon-cerrado transitional forest) in the Brazilian Amazon. Fruit yield was measured in both forest types during 2010. At each forest type, fruit yield was divided into different yield classes (number of fruits) for subsequent spatial modeling. The bivariate Ripley?s K-function was applied to quantify the spatial association of fruit yield of B. excelsa trees over different fruit yield classes. The results revealed that the forest type influences the spatial association of B. excelsa fruit yield. The old growth terra firme forest presented random spatial association for fruit yield, which implies that fruit yield of B. excelsa trees in this forest type is not limited by tree location and site resources. On the other hand, the Amazon-cerrado transitional forest presented significant negative spatial association for fruit yield across different yield classes, which means that under some conditions fruit yield of a given tree influences the fruit yield of the neighboring tree in this forest type. Site resources in the Amazon-cerrado transitional forest is limited and naturally favors... Mostrar Tudo |
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Palavras-Chave: |
Bivariate Ripley's K-function; Brazil nut; Forest Production; Modeling; Vegetables production. |
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Thesagro: |
Castanha; Produção Florestal; Produção Vegetal. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204814/1/CPAF-AP-2019-Spatial-association-of-fruit-yiel-of-Bertholletia.pdf
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Marc: |
LEADER 02689naa a2200325 a 4500
001 2114430
005 2019-11-18
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.foreco.2019.03.043$2DOI
100 1 $aBATISTA, A. P. B.
245 $aSpatial association of fruit yield of Bertholletia excelsa Bonpl. trees in eastern Amazon.$h[electronic resource]
260 $c2019
520 $aBrazil nut (Bertholletia excelsa) is one of the most important non-timber forest product (NTFP) species in the world. Better management and conservation practices will only be possible with an in-depth knowledge of tree species ecology. This study aimed to assess the spatial association of fruit yield of Bertholletia excelsa (B. excelsa) trees in two forest types (old growth terra firme forest and Amazon-cerrado transitional forest) in the Brazilian Amazon. Fruit yield was measured in both forest types during 2010. At each forest type, fruit yield was divided into different yield classes (number of fruits) for subsequent spatial modeling. The bivariate Ripley?s K-function was applied to quantify the spatial association of fruit yield of B. excelsa trees over different fruit yield classes. The results revealed that the forest type influences the spatial association of B. excelsa fruit yield. The old growth terra firme forest presented random spatial association for fruit yield, which implies that fruit yield of B. excelsa trees in this forest type is not limited by tree location and site resources. On the other hand, the Amazon-cerrado transitional forest presented significant negative spatial association for fruit yield across different yield classes, which means that under some conditions fruit yield of a given tree influences the fruit yield of the neighboring tree in this forest type. Site resources in the Amazon-cerrado transitional forest is limited and naturally favors inter- and intra-specific competition. Finally, the results imply the need for adoption of different management and conservation strategies for B. excelsa in different forest types in the Brazilian Amazon.
650 $aCastanha
650 $aProdução Florestal
650 $aProdução Vegetal
653 $aBivariate Ripley's K-function
653 $aBrazil nut
653 $aForest Production
653 $aModeling
653 $aVegetables production
700 1 $aSCOLFORO, H. F.
700 1 $aMELLO, J. M.
700 1 $aGUEDES, M. C.
700 1 $aTERRA, M. C. N. S.
700 1 $aSCALON, J. D.
700 1 $aGOMIDE, L. R.
700 1 $aSCOLFORO, P. G. V.
700 1 $aCOOK, R. L.
773 $tForest Ecology and Management$gv. 441, p. 99-105, June, 2019.
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Embrapa Amapá (CPAF-AP) |
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