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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
19/01/2016 |
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Data da última atualização: |
17/03/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SANTOS, M. N. dos; PINAGÉ, E. R.; LONGO, M.; ARAUJO, L. S. de; ADAMI, M.; MORTON, D.; KELLER, M. |
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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. |
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Título: |
Lidar-based assessment of forest edge effects across a degraded landscape in the Brazilian Amazon. |
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Ano de publicação: |
2015 |
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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. |
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Páginas: |
p. 81-83. |
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Idioma: |
Português |
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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 |
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Palavras-Chave: |
Airborne lidar; Amazon; Edge effect; Forest degradation. |
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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/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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Registro original: |
Embrapa Territorial (CNPM) |
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| Registros recuperados : 13 | |
| 4. |  | SANTOS, M. N. dos; RESCK, D. V. S.; SILVA, J. E. da; RODRIGUEZ CASTRO, L. H. Influencia de diferentes sistemas de manejo no teor de materia organica e no tamanho e distribuicao de poros em latossolo vermelho-escuro argiloso na regiao dos cerrados, Brasil. In: SIMPOSIO SOBRE O CERRADO, 8.; INTERNATIONAL SYMPOSIUM ON TROPICAL SAVANNAS, 1., 1996, Brasilia, DF. Biodiversidade e producao sustentavel de alimentos e fibras nos Cerrados: anais... Planaltina: EMBRAPA-CPAC, 1996. p.372-374.| Biblioteca(s): Embrapa Cerrados. |
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| 7. | | SANTOS, M. N. dos; PINAGÉ, E. R.; LONGO, M.; ARAUJO, L. S. de; ADAMI, M.; MORTON, D.; KELLER, M. Lidar-based assessment of forest edge effects across a degraded landscape in the Brazilian Amazon. 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. p. 81-83.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Territorial. |
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| 8. | | FENG, Y.; LU, D.; CHEN, Q.; KELLER, M.; MORAN, E.; SANTOS, M. N. dos S.; BOLFE, E. L.; BATISTELLA, M. Examining effective use of data source and modeling algorithms for improving biomass estimation in a moist tropical forest of the brazilian Amazon. International Journal of Digital Earth, London, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Unidades Centrais. |
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| 9. | | RESCK, D. V. S.; GUEDES, H. M.; PEREIRA, I. da S.; SANTOS, M. N. dos; GOMES, A. C. Efeito do carbono organico e propriedades quimicas na agregacao do solo em sistemas de preparo convencional, plantio direto e sob vegetacao de cerrado. In: CONGRESSO BRASILEIRO DE CIENCIA DO SOLO, 27., 1999, Brasilia, DF. [Ciencia do solo e qualidade de vida: anais]. [Planaltina: Embrapa Cerrados, 1999]. 1 CD-ROM. Sessao de posteres 1. Resumo.| Biblioteca(s): Embrapa Cerrados. |
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| 10. | | CHEN, Q.; LU, D.; KELLER, M.; SANTOS, M. N. DOS; BOLFE, E. L.; FENG, Y.; WANG, C. Modeling and Mapping Agroforestry Aboveground Biomass in the Brazilian Amazon Using Airborne Lidar Data. Remote Sensing, v. 8, n. 1, p. 1-17, 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Territorial. |
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| 12. | | VIANA, J. G. L.; FIALHO, S. A. G.; SANTOS, M. N. dos; BARROS, C. S. L. de; RAISER, A. G.; SILVA, D. O. S. da. Avaliacao da Prevalencia, do Diagnostico e do Tratamento Cirurgico de Lesoes Cancerosas da Regiao Ocular em Bovinos das Racas Hereford e Polled Hereford. Pesquisa Agropecuaria Brasileira, Brasilia, v.27, n.10, p.1397-1404, out.1992| Biblioteca(s): Embrapa Unidades Centrais. |
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| 13. | | SCARANELLO, M. A.; LONGO, M.; SANTOS, M. N. dos S.; KELLER, M.; LEITOLD, V.; MORTON, D. C.; BOLFE, E. L.; BATISTELLA, M. Uso de lidar para quantificação de mudanças no estoque de carbono acima do solo em São Jorge, Pará. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. 3307-3314| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Unidades Centrais. |
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| Registros recuperados : 13 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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