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| 9. | | ESPÍRITO-SANTO, F. D. B.; KELLER, M. M.; LINDER, E.; OLIVEIRA JUNIOR, R. C. de; PEREIRA, C.; OLIVEIRA, C. G. Gap formation and carbon cycling in the Brazilian Amazon: measurement using high-resolution optical remote sensing and studies in large forest plots. Plant Ecology & Diversity, v. 7, n. 1/2, p. 305-318, 2014.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Territorial. |
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| 10. | | HUNTER, M. O.; KELLER, M.; CAMARGO, P.; PALACE, M.; OLIVEIRA JUNIOR, R. C. de; ESPIRITO SANTO, F.; KEIZER, E.; LEFSKY, M.; ASNER, G. P. Forest structure at five LBA study sites. In: SCIENCE TEAM MEETING, 10., 2006, Brasília, DF. Book of Abstracts... Manaus: LBA-ECO, 2006. p. 29.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 11. | | SILVA, L. A. da; MARTINS, M. A.; ESPÍRITO SANTO, F.; OLIVEIRA, F. C.; CHAVES, F. C. M.; CHAGAS, E. C.; MARTINS, M. L.; CAMPOS, C. M. de. Essential oils of Ocimum gratissimum and Zingiber officinale as anesthetics for the South American catfish Pseudoplatystoma reticulatum. Aquaculture, art. 735595, June 2020.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 12. | | LEFSKY, M. A.; HARDING, D. J.; KELLER, M.; COHEN, W. B.; CARABAJAL, C. C.; ESPIRITO-SANTO, F. D. B.; HUNTER, M. O.; OLIVEIRA JUNIOR, R. de. Estimates of forest canopy height and aboveground biomass using ICESat. Geophysical Research Letters, v. 32, n. 22, L22S02, Nov. 2005.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 13. | | MEYER, V.; SAATCHI, S.; CLARCK, D. B.; KELLER, M.; VICENT, G.; FERRAZ, A.; ESPÍRITO-SANTO, F.; OLIVEIRA, M. V. N. d'; KAKI, D.; CHAVE, J. Canopy area of large trees explains aboveground biomass variations across neotropical forest landscapes. Biogeosciences, v. 15, n. 11, p. 3377-3390, 2018.| Biblioteca(s): Embrapa Acre. |
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| 14. | | SAATCHI, S.; MASCARO, J.; XU, L.; KELLER, M.; YANG, Y.; DUFFY, P.; ESPÍRITO-SANTO, F.; BACCINI, A.; CHAMBERS, J.; SCHIMEL, D. Seeing the forest beyond the trees. Global Ecology and Biogeography, v. 23, n. 11, p. 1-5, nov. 2014. Artigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite.| Biblioteca(s): Embrapa Territorial. |
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| 15. | | SMITH, C. C.; ESPÍRITO-SANTO, F. D. B.; HEALEY, J. R.; YOUNG, P. J.; LENNOX, G. D.; FERREIRA, J. N.; BARLOW, J. Secondary forests offset less than 10% of deforestation-mediated carbon emissions in the Brazilian Amazon. Global Change Biology, v. 26, n. 12, p. 7006-7020, 2020.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 16. | | FERREIRA, J. N.; LENNOX, G. D.; BERENGUER, E.; FERREIRA, M. do S. G.; SCHWARTZ, G.; MELO, L. de O.; REIS JUNIOR, D. N.; NASCIMENTO, R. O.; FERREIRA, F. N.; ESPIRITO-SANTO, F.; SMITH, C. C.; BARLOW, J. Assessing the growth and climate sensitivity of secondary forests in highly deforested Amazonian landscapes. Ecology, v. 101, n. 3, e02954, Mar. 2020.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 17. | | ALMEIDA, R. G. dos S.; MARTINS, M. A.; OLIVEIRA, F. C.; ESPIRITO SANTO, F.; CALVES, G. S.; PILARSKI, F.; CHAGAS, E. C.; FERNANDES, C. E.; MARTINS, M. L.; CAMPOS, C. M. de. Dietary supplementation of ginger (Zingiber officinale) essential oil exhibits positive immunomodulatory effects on the Neotropical catfish Pseudoplatystoma reticulatum without negative effects on fish liver histomorphometry. Latin American Journal of Aquatic Research, v. 49, n. 4, p. 595-607, 2021.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 20. | | 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. |
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| Registros recuperados : 31 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
12/03/2019 |
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Data da última atualização: |
27/12/2019 |
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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: |
WITHEY, K.; BERENGUER, E.; PALMEIRA, A. F.; ESPÍRITO-SANTO, F. D. B.; LENNOX, G. D.; SILVA, C. V. J.; ARAGÃO, L. E. O. C.; FERREIRA, J. N.; FRANÇA, F.; MALHI, Y.; ROSSI, L. C.; BARLOW, J. |
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Afiliação: |
Kieran Withey, Lancaster University; Erika Berenguer, Lancaster University / University of Oxford; Alessandro Ferraz Palmeira, UFPA; Fernando D. B. Espírito-Santo, University of Leicester; Gareth D. Lennox, Lancaster University; Camila V. J. Silva, Lancaster University; Luiz E. O. C. Aragão, INPE / University of Exeter; JOICE NUNES FERREIRA, CPATU; Filipe França, Lancaster University / CPATU / IFMG; Yadvinder Malhi, University of Oxford; Liana Chesini Rossi, UNESP; Jos Barlow, Lancaster University. |
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Título: |
Quantifying immediate carbon emissions from El Ninõ-mediated wildfires in humid tropical forests. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Philosophical Transactions of the Royal Society B, v. 373, n. 1760, p. 1-11, Nov. 2018. |
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DOI: |
10.1098/rstb.2017.0312 |
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Idioma: |
Inglês |
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Conteúdo: |
Wildfires produce substantial CO2 emissions in the humid tropics during El Niño-mediated extreme droughts, and these emissions are expected to increase in coming decades. Immediate carbon emissions from uncontrolled wildfires in human-modified tropical forests can be considerable owing to high necromass fuel loads. Yet, data on necromass combustion during wildfires are severely lacking. Here, we evaluated necromass carbon stocks before and after the 2015?2016 El Niño in Amazonian forests distributed along a gradient of prior human disturbance. We then used Landsat-derived burn scars to extrapolate regional immediate wildfire CO2 emissions during the 2015?2016 El Niño. Before the El Niño, necromass stocks varied significantly with respect to prior disturbance and were largest in undisturbed primary forests (30.2 ± 2.1 Mg ha−1, mean ± s.e.) and smallest in secondary forests (15.6 ± 3.0 Mg ha−1). However, neither prior disturbance nor our proxy of fire intensity (median char height) explained necromass losses due to wildfires. In our 6.5 million hectare (6.5 Mha) study region, almost 1 Mha of primary (disturbed and undisturbed) and 20 000 ha of secondary forest burned during the 2015?2016 El Niño. Covering less than 0.2% of Brazilian Amazonia, these wildfires resulted in expected immediate CO2 emissions of approximately 30 Tg, three to four times greater than comparable estimates from global fire emissions databases. Uncontrolled understorey wildfires in humid tropical forests during extreme droughts are a large and poorly quantified source of CO2 emissions. MenosWildfires produce substantial CO2 emissions in the humid tropics during El Niño-mediated extreme droughts, and these emissions are expected to increase in coming decades. Immediate carbon emissions from uncontrolled wildfires in human-modified tropical forests can be considerable owing to high necromass fuel loads. Yet, data on necromass combustion during wildfires are severely lacking. Here, we evaluated necromass carbon stocks before and after the 2015?2016 El Niño in Amazonian forests distributed along a gradient of prior human disturbance. We then used Landsat-derived burn scars to extrapolate regional immediate wildfire CO2 emissions during the 2015?2016 El Niño. Before the El Niño, necromass stocks varied significantly with respect to prior disturbance and were largest in undisturbed primary forests (30.2 ± 2.1 Mg ha−1, mean ± s.e.) and smallest in secondary forests (15.6 ± 3.0 Mg ha−1). However, neither prior disturbance nor our proxy of fire intensity (median char height) explained necromass losses due to wildfires. In our 6.5 million hectare (6.5 Mha) study region, almost 1 Mha of primary (disturbed and undisturbed) and 20 000 ha of secondary forest burned during the 2015?2016 El Niño. Covering less than 0.2% of Brazilian Amazonia, these wildfires resulted in expected immediate CO2 emissions of approximately 30 Tg, three to four times greater than comparable estimates from global fire emissions databases. Uncontrolled understorey wildfires in humid tropi... Mostrar Tudo |
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Palavras-Chave: |
Emissão de carbono. |
|
Thesagro: |
Carbono; Floresta Tropical Úmida; Incêndio Florestal. |
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Thesaurus NAL: |
El Nino. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02580naa a2200325 a 4500
001 2106962
005 2019-12-27
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1098/rstb.2017.0312$2DOI
100 1 $aWITHEY, K.
245 $aQuantifying immediate carbon emissions from El Ninõ-mediated wildfires in humid tropical forests.$h[electronic resource]
260 $c2018
520 $aWildfires produce substantial CO2 emissions in the humid tropics during El Niño-mediated extreme droughts, and these emissions are expected to increase in coming decades. Immediate carbon emissions from uncontrolled wildfires in human-modified tropical forests can be considerable owing to high necromass fuel loads. Yet, data on necromass combustion during wildfires are severely lacking. Here, we evaluated necromass carbon stocks before and after the 2015?2016 El Niño in Amazonian forests distributed along a gradient of prior human disturbance. We then used Landsat-derived burn scars to extrapolate regional immediate wildfire CO2 emissions during the 2015?2016 El Niño. Before the El Niño, necromass stocks varied significantly with respect to prior disturbance and were largest in undisturbed primary forests (30.2 ± 2.1 Mg ha−1, mean ± s.e.) and smallest in secondary forests (15.6 ± 3.0 Mg ha−1). However, neither prior disturbance nor our proxy of fire intensity (median char height) explained necromass losses due to wildfires. In our 6.5 million hectare (6.5 Mha) study region, almost 1 Mha of primary (disturbed and undisturbed) and 20 000 ha of secondary forest burned during the 2015?2016 El Niño. Covering less than 0.2% of Brazilian Amazonia, these wildfires resulted in expected immediate CO2 emissions of approximately 30 Tg, three to four times greater than comparable estimates from global fire emissions databases. Uncontrolled understorey wildfires in humid tropical forests during extreme droughts are a large and poorly quantified source of CO2 emissions.
650 $aEl Nino
650 $aCarbono
650 $aFloresta Tropical Úmida
650 $aIncêndio Florestal
653 $aEmissão de carbono
700 1 $aBERENGUER, E.
700 1 $aPALMEIRA, A. F.
700 1 $aESPÍRITO-SANTO, F. D. B.
700 1 $aLENNOX, G. D.
700 1 $aSILVA, C. V. J.
700 1 $aARAGÃO, L. E. O. C.
700 1 $aFERREIRA, J. N.
700 1 $aFRANÇA, F.
700 1 $aMALHI, Y.
700 1 $aROSSI, L. C.
700 1 $aBARLOW, J.
773 $tPhilosophical Transactions of the Royal Society B$gv. 373, n. 1760, p. 1-11, Nov. 2018.
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