| |
|
|
| Registros recuperados : 19 | |
| 5. |  | TRABAQUINI, K.; SILVA, G. B. S. da; FORMAGGIO, A. R.; SHIMABUKURO, Y. E.; GALVÃO, L. S. Dynamics and distribution of anthropic occupation in the Cerrado of Mato Grosso in the period from 1990 to 2008. Geografia, Rio Claro, v. 38, n. 2, p. 209-224, maio/ago. 2013. p. 209-224| Biblioteca(s): Embrapa Territorial. |
|    |
| 6. | | BALBINOT, R.; LAMBRECHT, F. R.; BREUNIG, F. M.; TRAUTENMÜLLER, J. W.; GALVÃO, L. S.; DENARDI, L.; VENDRUSCOLO, R. Análise fitossociológica de um fragmento de Floresta Estacional Decidual: Parque Estadual do Turvo, RS. Pesquisa Florestal Brasileira, Colombo, v. 36, n. 86, p. 103-113, abr./jun. 2016.| Biblioteca(s): Embrapa Florestas. |
| |
| 12. | | GALVÃO, L. S.; PEREIRA FILHO, W.; ABDON, M. de M.; NOVO, E. M. M. L.; SILVA, J. dos S. V. da; PONZONI, F. J. Hyperspectral remote sensing of the brazilian pantanal lakes. In: JPL AIRBORNE EARTH SCIENCE WORKSHOP, 11., 2002, Pasadena. Proceedings... Pasadena: NASA, 2002. p. 355-362. Na publicação: João S. V. da Silva.| Biblioteca(s): Embrapa Agricultura Digital. |
|  |
| 14. | | GALVAO, L. S.; PEREIRA FILHO, W.; ABDON, M. de M.; NOVO, E. M. L. de M.; SILVA, J. dos S. V. da. Sensoriamento remoto hiperespectral no estudo de baias e salinas no Pantanal brasileiro. In: CONGRESSO BRASILEIRO DE SENSORIAMENTO REMOTO, 11., Belo Horizonte, 2003. Anais... Belo Horizonte: SBSR / INPE, p.2493-2500, 2003.| Biblioteca(s): Embrapa Pantanal. |
| |
| 15. | | PAVANELLI, J. A. P.; MALDONADO, F. D.; SANTOS, J. R. dos; GALVÃO, L. S.; XAUD, M. R.; XAUD, H. A. M. Rotação radiométrica para detecção de mudanças na paisagem de tensão ecológica em Roraima. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015.| Biblioteca(s): Embrapa Roraima. |
| |
| 16. | | MOURA, Y. M. de; BALZTER, H.; GALVÃO, L. S.; DALAGNOL, R.; ESPÍRITO-SANTO, F.; SANTOS, E. G.; GARCIA, M.; BISPO, P. da C.; OLIVEIRA JUNIOR, R. C. de; SHIMABUKURO, Y. E. Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. Remote Sensing, v. 12, n. 3, Article 430, 2020.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 17. | | MOURA, Y. M. de; GALVÃO, L. S.; HILKER, T.; WU, J.; SALESKA, S.; AMARAL, C. H. do; NELSON, B. W.; LOPES, A. P.; WIEDEMAN, K. K.; PROHASKA, N.; OLIVEIRA JUNIOR, R. C. de; MACHADO, C. B.; ARAGÃO, L. E. O. C. Spectral analysis of amazon canopy phenology during the dry season using a tower hyperspectral camera and modis observations. ISPRS Journal of Photogrammetry and Remote Sensing, v. 131, p. 52-64, Sept. 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 18. | | HILKER, T.; GALVÃO, L. S.; ARAGÃO, L. E. O. C.; MOURA, Y. M. de; AMARAL, C. H. do; LYAPUSTIN, A. I.; WU, J.; ALBERT, L. P.; FERREIRA, M. J.; ANDERSON, L. O.; SANTOS, V. A. H. F. dos; PROHASKA, N.; TRIBUZY, E.; CERON, J. V. B.; SALESKA, S. R.; WANG, Y.; GONÇALVES, J. F. de C.; OLIVEIRA JUNIOR, R. C. de; RODRIGUES, J. V. F. C.; GARCIA, M. N. Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model. International Journal of Applied Earth Observation and Geoinformation, v. 58, p. 278-287, June 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 19. | | BISPO, P. da C.; PICOLI, M. C. A.; MARIMON, B. S.; MARIMON JUNIOR, B. H.; PERES, C. A.; MENOR, I. O.; SILVA, D. E.; MACHADO, F. de F.; ALENCAR, A. A. C.; ALMEIDA, C. A. de; ANDERSON, L. O.; ARAGÃO, L. E. O. C.; BREUNIG, F. M.; BUSTAMANTE, M.; DALAGNOL, R.; DINIZ-FILHO, J. A. F.; FERREIRA, L. G.; FISCH, G.; GALVÃO, L. S.; GIAROLLA, A.; GOMES, A. R.; MARCO JUNIOR, P. de; KUCK, T. N.; LEHMANN, C. E. R.; LEMES, M. R.; TRIVISAN, D. P.; ZIMBRES, B.; WIEDERKEHR, N. C.; SILVA-JUNIOR, C. H. L. Overlooking vegetation loss outside forests imperils the Brazilian Cerrado and other non-forest biomes. Nature Ecology & Evolution, v. 8, p. 12-13 Jan. 2024.| Biblioteca(s): Embrapa Cerrados. |
| |
| Registros recuperados : 19 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Amazônia Oriental. |
|
Data corrente: |
30/11/2020 |
|
Data da última atualização: |
30/11/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
MOURA, Y. M. de; BALZTER, H.; GALVÃO, L. S.; DALAGNOL, R.; ESPÍRITO-SANTO, F.; SANTOS, E. G.; GARCIA, M.; BISPO, P. da C.; OLIVEIRA JUNIOR, R. C. de; SHIMABUKURO, Y. E. |
|
Afiliação: |
Yhasmin Mendes de Moura, University of Leicester; Heiko Balzter, University of Leicester; Lênio S. Galvão, INPE; Ricardo Dalagnol, INPE; Fernando Espírito-Santo, University of Leicester; Erone G. Santos, University of Helsinki; Mariano Garcia, Universidad de Alcalá; Polyanna da Conceição Bispo, University of Manchester; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Yosio E. Shimabukuro, INPE. |
|
Título: |
Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Remote Sensing, v. 12, n. 3, Article 430, 2020. |
|
DOI: |
https://doi.org/10.3390/rs12030430 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Tropical forests hold significant amounts of carbon and play a critical role on Earth´s climate system. To date, carbon dynamics over tropical forests have been poorly assessed, especially over vast areas of the tropics that have been affected by some type of disturbance (e.g., selective logging, understory fires, and fragmentation). Understanding the multi-temporal dynamics of carbon stocks over human-modified tropical forests (HMTF) is crucial to close the carbon cycle balance in the tropics. Here, we used multi-temporal and high-spatial resolution airborne LiDAR data to quantify rates of carbon dynamics over a large patch of HMTF in eastern Amazon, Brazil. We described a robust approach to monitor changes in aboveground forest carbon stocks between 2012 and 2018. Our results showed that this particular HMTF lost 0.57 m·yr−1 in mean forest canopy height and 1.38 Mg·C·ha-1 yr-1 of forest carbon between 2012 and 2018. LiDAR-based estimates of Aboveground Carbon Density (ACD) showed progressive loss through the years, from 77.9 Mg·C·ha-1 in 2012 to 53.1 Mg·C·ha-1 in 2018, thus a decrease of 31.8%. Rates of carbon stock changes were negative for all time intervals analyzed, yielding average annual carbon loss rates of -1.34 Mg·C·ha−1·yr−1. This suggests that this HMTF is acting more as a source of carbon than a sink, having great negative implications for carbon emission scenarios in tropical forests. Although more studies of forest dynamics in HMTFs are necessary to reduce the current remaining uncertainties in the carbon cycle, our results highlight the persistent effects of carbon losses for the study area. HMTFs are likely to expand across the Amazon in the near future. The resultant carbon source conditions, directly associated with disturbances, may be essential when considering climate projections and carbon accounting methods MenosTropical forests hold significant amounts of carbon and play a critical role on Earth´s climate system. To date, carbon dynamics over tropical forests have been poorly assessed, especially over vast areas of the tropics that have been affected by some type of disturbance (e.g., selective logging, understory fires, and fragmentation). Understanding the multi-temporal dynamics of carbon stocks over human-modified tropical forests (HMTF) is crucial to close the carbon cycle balance in the tropics. Here, we used multi-temporal and high-spatial resolution airborne LiDAR data to quantify rates of carbon dynamics over a large patch of HMTF in eastern Amazon, Brazil. We described a robust approach to monitor changes in aboveground forest carbon stocks between 2012 and 2018. Our results showed that this particular HMTF lost 0.57 m·yr−1 in mean forest canopy height and 1.38 Mg·C·ha-1 yr-1 of forest carbon between 2012 and 2018. LiDAR-based estimates of Aboveground Carbon Density (ACD) showed progressive loss through the years, from 77.9 Mg·C·ha-1 in 2012 to 53.1 Mg·C·ha-1 in 2018, thus a decrease of 31.8%. Rates of carbon stock changes were negative for all time intervals analyzed, yielding average annual carbon loss rates of -1.34 Mg·C·ha−1·yr−1. This suggests that this HMTF is acting more as a source of carbon than a sink, having great negative implications for carbon emission scenarios in tropical forests. Although more studies of forest dynamics in HMTFs are nece... Mostrar Tudo |
|
Thesagro: |
Carbono; Floresta Tropical. |
|
Thesaurus NAL: |
Amazonia. |
|
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/218361/1/remotesensing-12-00430-v2.pdf
|
|
Marc: |
LEADER 02715naa a2200277 a 4500
001 2127189
005 2020-11-30
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/rs12030430$2DOI
100 1 $aMOURA, Y. M. de
245 $aCarbon dynamics in a human-modified tropical forest$ba case study using multi-temporal LiDAR Data.$h[electronic resource]
260 $c2020
520 $aTropical forests hold significant amounts of carbon and play a critical role on Earth´s climate system. To date, carbon dynamics over tropical forests have been poorly assessed, especially over vast areas of the tropics that have been affected by some type of disturbance (e.g., selective logging, understory fires, and fragmentation). Understanding the multi-temporal dynamics of carbon stocks over human-modified tropical forests (HMTF) is crucial to close the carbon cycle balance in the tropics. Here, we used multi-temporal and high-spatial resolution airborne LiDAR data to quantify rates of carbon dynamics over a large patch of HMTF in eastern Amazon, Brazil. We described a robust approach to monitor changes in aboveground forest carbon stocks between 2012 and 2018. Our results showed that this particular HMTF lost 0.57 m·yr−1 in mean forest canopy height and 1.38 Mg·C·ha-1 yr-1 of forest carbon between 2012 and 2018. LiDAR-based estimates of Aboveground Carbon Density (ACD) showed progressive loss through the years, from 77.9 Mg·C·ha-1 in 2012 to 53.1 Mg·C·ha-1 in 2018, thus a decrease of 31.8%. Rates of carbon stock changes were negative for all time intervals analyzed, yielding average annual carbon loss rates of -1.34 Mg·C·ha−1·yr−1. This suggests that this HMTF is acting more as a source of carbon than a sink, having great negative implications for carbon emission scenarios in tropical forests. Although more studies of forest dynamics in HMTFs are necessary to reduce the current remaining uncertainties in the carbon cycle, our results highlight the persistent effects of carbon losses for the study area. HMTFs are likely to expand across the Amazon in the near future. The resultant carbon source conditions, directly associated with disturbances, may be essential when considering climate projections and carbon accounting methods
650 $aAmazonia
650 $aCarbono
650 $aFloresta Tropical
700 1 $aBALZTER, H.
700 1 $aGALVÃO, L. S.
700 1 $aDALAGNOL, R.
700 1 $aESPÍRITO-SANTO, F.
700 1 $aSANTOS, E. G.
700 1 $aGARCIA, M.
700 1 $aBISPO, P. da C.
700 1 $aOLIVEIRA JUNIOR, R. C. de
700 1 $aSHIMABUKURO, Y. E.
773 $tRemote Sensing$gv. 12, n. 3, Article 430, 2020.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Amazônia Oriental (CPATU) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
