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Biblioteca(s): |
Embrapa Roraima. |
Data corrente: |
06/02/2017 |
Data da última atualização: |
06/02/2017 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
MELO FILHO, A. A. de; FERNANDEZ, I. M.; CHAGAS, E. A.; SANTOS, R. C. dos; MELO, A. C. G. R. de; RIBEIRO, P. R. E.; TAKAHASSHIC, J. A.; MALDONADO, S.; COSTA, H. N. R. da. |
Afiliação: |
EDVAN ALVES CHAGAS, CPAF-Roraima. |
Título: |
Physicochemical properties of the oil from murumuruí fruit (Astrocaryum acaule): reason w-6/w-3 and w-9 potencial. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE QUÍMICA, 56., 2016, Belém, PA. Anais... Rio de Janeiro: ABQ, 2016. |
Idioma: |
Inglês |
Thesaurus Nal: |
fatty acids. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/154829/1/Physicochemical-properties-of-the-oil-from-murumurui-fruit-Astrocaryum-acaule-reason-w-6-w-3-and-w-9-potencial.pdf
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Marc: |
LEADER 00699nam a2200205 a 4500 001 2062853 005 2017-02-06 008 2016 bl uuuu u00u1 u #d 100 1 $aMELO FILHO, A. A. de 245 $aPhysicochemical properties of the oil from murumuruí fruit (Astrocaryum acaule)$breason w-6/w-3 and w-9 potencial. 260 $aIn: CONGRESSO BRASILEIRO DE QUÍMICA, 56., 2016, Belém, PA. Anais... Rio de Janeiro: ABQ$c2016 650 $afatty acids 700 1 $aFERNANDEZ, I. M. 700 1 $aCHAGAS, E. A. 700 1 $aSANTOS, R. C. dos 700 1 $aMELO, A. C. G. R. de 700 1 $aRIBEIRO, P. R. E. 700 1 $aTAKAHASSHIC, J. A. 700 1 $aMALDONADO, S. 700 1 $aCOSTA, H. N. R. da
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Embrapa Roraima (CPAF-RR) |
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Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
19/01/2016 |
Data da última atualização: |
17/03/2016 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
SANTOS, M. N. dos; PINAGÉ, E. R.; LONGO, M.; ARAUJO, L. S. de; ADAMI, M.; MORTON, D.; KELLER, M. |
Afiliação: |
MAIZA NARA DOS SANTOS, BOLSISTA CNPM; EKENA R. PINAGÉ, BOLSISTA CNPM; MARCOS LONGO, BOLSISTA CNPM; LUCIANA SPINELLI DE ARAUJO, CNPM; MARCOS ADAMI, INPE; DOUGLAS MORTON, NASA; MICHAEL KELLER, PESQUISADOR VISITANTE CNPM/USDA. |
Título: |
Lidar-based assessment of forest edge effects across a degraded landscape in the Brazilian Amazon. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: CONFERENCE ON LIDAR APPLICATIONS FOR ASSESSING AND MANAGING FOREST ECOSYSTEMS, 14., 2015. La Grande Motte, France. Proceedings of SilviLaser... La Grande Motte, France: IGN, 2015. |
Páginas: |
p. 81-83. |
Idioma: |
Português |
Conteúdo: |
Forest fragmentation divides forest areas into smaller discontinuous fragments, increasing the forest edge area that experiences different environmental conditions from interior areas [1]. According to one study, logging and deforestation generate ~32,000 and 38,000 km of new forest edge each year in the Brazilian Amazon [2]. Nearly 20% of the world?s forests are within 100m of agriculture, urban, or other non-forest land uses [3]. Forest edges suffer changes in microclimate, with reduced moisture and increased variability of temperature compared to the forest interiors. In addition, winds cause greater structural damage near the forest ends and affect other ecological processes such as pollination, seed dispersal, nutrient cycling and carbon storage. The extent of forest edges in the Brazilian Amazon grows each year, caused by deforestation and forest degradation from human activity. However, the extent of edge forests, and the changes in carbon stock resulting from alterations in microclimate and disturbance near forest edges are difficult to quantify. Previous studies have used multispectral remote sensing and geographic information systems (GIS) analysis to quantify fragmentation and the effect of edges [2]. We used lidar (light detection and ranging) measured canopy heights as a proxy variable to quantify forest edge effects across a degraded forest landscape of the Amazon in the Paragominas Municipality in Para State, Brazil. To our knowledge no previous study has used variability in forest height from lidar data to quantify changes in forest structure near edges in tropical forests. Lidar provides data with sub-meter vertical and horizontal accuracy, greatly improving forest structure quantification compared to traditional field studies. MenosForest fragmentation divides forest areas into smaller discontinuous fragments, increasing the forest edge area that experiences different environmental conditions from interior areas [1]. According to one study, logging and deforestation generate ~32,000 and 38,000 km of new forest edge each year in the Brazilian Amazon [2]. Nearly 20% of the world?s forests are within 100m of agriculture, urban, or other non-forest land uses [3]. Forest edges suffer changes in microclimate, with reduced moisture and increased variability of temperature compared to the forest interiors. In addition, winds cause greater structural damage near the forest ends and affect other ecological processes such as pollination, seed dispersal, nutrient cycling and carbon storage. The extent of forest edges in the Brazilian Amazon grows each year, caused by deforestation and forest degradation from human activity. However, the extent of edge forests, and the changes in carbon stock resulting from alterations in microclimate and disturbance near forest edges are difficult to quantify. Previous studies have used multispectral remote sensing and geographic information systems (GIS) analysis to quantify fragmentation and the effect of edges [2]. We used lidar (light detection and ranging) measured canopy heights as a proxy variable to quantify forest edge effects across a degraded forest landscape of the Amazon in the Paragominas Municipality in Para State, Brazil. To our knowledge no previous study has used... Mostrar Tudo |
Palavras-Chave: |
Airborne lidar; Amazon; Edge effect; Forest degradation. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/137288/1/4657.pdf
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Marc: |
LEADER 02597nam a2200241 a 4500 001 2034397 005 2016-03-17 008 2015 bl uuuu u00u1 u #d 100 1 $aSANTOS, M. N. dos 245 $aLidar-based assessment of forest edge effects across a degraded landscape in the Brazilian Amazon.$h[electronic resource] 260 $aIn: CONFERENCE ON LIDAR APPLICATIONS FOR ASSESSING AND MANAGING FOREST ECOSYSTEMS, 14., 2015. La Grande Motte, France. Proceedings of SilviLaser... La Grande Motte, France: IGN$c2015 300 $ap. 81-83. 520 $aForest fragmentation divides forest areas into smaller discontinuous fragments, increasing the forest edge area that experiences different environmental conditions from interior areas [1]. According to one study, logging and deforestation generate ~32,000 and 38,000 km of new forest edge each year in the Brazilian Amazon [2]. Nearly 20% of the world?s forests are within 100m of agriculture, urban, or other non-forest land uses [3]. Forest edges suffer changes in microclimate, with reduced moisture and increased variability of temperature compared to the forest interiors. In addition, winds cause greater structural damage near the forest ends and affect other ecological processes such as pollination, seed dispersal, nutrient cycling and carbon storage. The extent of forest edges in the Brazilian Amazon grows each year, caused by deforestation and forest degradation from human activity. However, the extent of edge forests, and the changes in carbon stock resulting from alterations in microclimate and disturbance near forest edges are difficult to quantify. Previous studies have used multispectral remote sensing and geographic information systems (GIS) analysis to quantify fragmentation and the effect of edges [2]. We used lidar (light detection and ranging) measured canopy heights as a proxy variable to quantify forest edge effects across a degraded forest landscape of the Amazon in the Paragominas Municipality in Para State, Brazil. To our knowledge no previous study has used variability in forest height from lidar data to quantify changes in forest structure near edges in tropical forests. Lidar provides data with sub-meter vertical and horizontal accuracy, greatly improving forest structure quantification compared to traditional field studies. 653 $aAirborne lidar 653 $aAmazon 653 $aEdge effect 653 $aForest degradation 700 1 $aPINAGÉ, E. R. 700 1 $aLONGO, M. 700 1 $aARAUJO, L. S. de 700 1 $aADAMI, M. 700 1 $aMORTON, D. 700 1 $aKELLER, M.
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Embrapa Territorial (CNPM) |
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