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8. | | SOUZA, J. S.; ESPÍRITO-SANTO, F. del B.; FONTES, M. A. L.; OLIVEIRA FILHO, A. T. de; BOTEZELLI, L. Análise das variações florísticas e estruturais da comunidade arbórea de um fragmento de floresta semidecídua às margens do Rio Capivari, Lavras - MG. Revista Árvore, Viçosa, v. 27, n. 2, p. 185-206, mar./abr. 2003. Biblioteca(s): Embrapa Florestas. |
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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. | | 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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11. | | 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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12. | | 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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13. | | 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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14. | | 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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15. | | 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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17. | | 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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18. | | 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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19. | | 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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20. | | GUIMARÃES, R. F.; CARVALHO JUNIOR, O. A. de; MARTINS, E. de S.; GOMES, R. A. T.; FLOSS, P. A.; ESPÍRITO SANTO, F. R. C. do; ANDRADE, A. C. de; CARVALHO, A. P. F. de. Definição de áreas para silvicultura na bacia do rio Ariranha (SC) em áreas de encosta erosionais utilizando imagens ASTER e modelo digital de terreno. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 12., 2005, Goiânia. Anais... São José dos Campos: INPE, 2005. p. 1563-1568 Biblioteca(s): Embrapa Cerrados. |
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Registros recuperados : 31 | |
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Registro Completo
Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
08/06/2018 |
Data da última atualização: |
02/07/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
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. |
Afiliação: |
Victoria Meyer, California Institute of Technology/CNRS Université Paul Sabatier; Sassan Saatchi, California Institute of Technology; David B. Clark, University of Missouri; Michael Keller, International Institute of Tropical Forestry; Grégoire Vincent, IRD; António Ferraz, California Institute of Technology; Fernando Espírito-Santo, University of Leicester; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-Acre; Dahlia Kaki, California Institute of Technology; Jérôme Chave, CNRS Université Paul Sabatier. |
Título: |
Canopy area of large trees explains aboveground biomass variations across neotropical forest landscapes. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Biogeosciences, v. 15, n. 11, p. 3377-3390, 2018. |
DOI: |
10.5194/bg-15-3377-2018 |
Idioma: |
Inglês |
Conteúdo: |
Large tropical trees store significant amounts of carbon in woody components and their distribution plays an important role in forest carbon stocks and dynamics. Here, we explore the Properties of a new lidar-derived index, the large tree canopy area (LCA) defined as the area occupied by canopy above a reference height. We hypothesize that this simple measure of forest structure representing the crown area of large canopy trees could consistently explain the landscape variations in forest volume and aboveground biomass (AGB) across a range of climate and edaphic conditions. To test this hypothesis, we assembled a unique dataset of high-resolution airborne light detection and ranging (lidar) and ground inventory data in nine undisturbed old-growth Neotropical forests, of which four had plots large enough (1 ha) to calibrate our model.We found that the LCA for trees greater than 27m (~25?30 m) in height and at least 100m2 crown size in a unit area (1 ha), explains more than 75% of total forest volume variations, irrespective of the forest biogeographic conditions. When weighted by average wood density of the stand, LCA can be used as an unbiased estimator of AGB across sites (R2=0.78, RMSE=46.02Mgha-1, bias=-0.63Mgha-1). Unlike other lidar-derived metrics with complex nonlinear relations to biomass, the relationship between LCA and AGB is linear and remains unique across forest types. A comparison with tree inventories across the study sites indicates that LCA correlates best with the crown area (or basal area) of trees with diameter greater than 50 cm. The spatial invariance of the LCA?AGB relationship across the Neotropics suggests a remarkable regularity of forest structure across the landscape and a new technique for systematic monitoring of large trees for their contribution to AGB and changes associated with selective logging, tree mortality and other types of tropical forest disturbance and dynamics. MenosLarge tropical trees store significant amounts of carbon in woody components and their distribution plays an important role in forest carbon stocks and dynamics. Here, we explore the Properties of a new lidar-derived index, the large tree canopy area (LCA) defined as the area occupied by canopy above a reference height. We hypothesize that this simple measure of forest structure representing the crown area of large canopy trees could consistently explain the landscape variations in forest volume and aboveground biomass (AGB) across a range of climate and edaphic conditions. To test this hypothesis, we assembled a unique dataset of high-resolution airborne light detection and ranging (lidar) and ground inventory data in nine undisturbed old-growth Neotropical forests, of which four had plots large enough (1 ha) to calibrate our model.We found that the LCA for trees greater than 27m (~25?30 m) in height and at least 100m2 crown size in a unit area (1 ha), explains more than 75% of total forest volume variations, irrespective of the forest biogeographic conditions. When weighted by average wood density of the stand, LCA can be used as an unbiased estimator of AGB across sites (R2=0.78, RMSE=46.02Mgha-1, bias=-0.63Mgha-1). Unlike other lidar-derived metrics with complex nonlinear relations to biomass, the relationship between LCA and AGB is linear and remains unique across forest types. A comparison with tree inventories across the study sites indicates that LCA correlates best ... Mostrar Tudo |
Palavras-Chave: |
Biomassa aérea; Bosques neotropicales; Cubierta forestal; Dossel; Floresta neotropical; Inventario forestal; Neotropical forests; Old-grow lowland; Planícies antigas; Planicies antiguas; Reservorios de carbono; Teledetección. |
Thesagro: |
Carbono; Estoque; Inventário Florestal; Raio Laser; Sensoriamento Remoto. |
Thesaurus NAL: |
Aboveground biomass; Carbon sinks; Forest canopy; Forest inventory; Lasers; Lidar; Remote sensing. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/178411/1/26626.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/178412/1/26626-suplemento.pdf
|
Marc: |
LEADER 03406naa a2200529 a 4500 001 2092386 005 2021-07-02 008 2018 bl uuuu u00u1 u #d 024 7 $a10.5194/bg-15-3377-2018$2DOI 100 1 $aMEYER, V. 245 $aCanopy area of large trees explains aboveground biomass variations across neotropical forest landscapes.$h[electronic resource] 260 $c2018 520 $aLarge tropical trees store significant amounts of carbon in woody components and their distribution plays an important role in forest carbon stocks and dynamics. Here, we explore the Properties of a new lidar-derived index, the large tree canopy area (LCA) defined as the area occupied by canopy above a reference height. We hypothesize that this simple measure of forest structure representing the crown area of large canopy trees could consistently explain the landscape variations in forest volume and aboveground biomass (AGB) across a range of climate and edaphic conditions. To test this hypothesis, we assembled a unique dataset of high-resolution airborne light detection and ranging (lidar) and ground inventory data in nine undisturbed old-growth Neotropical forests, of which four had plots large enough (1 ha) to calibrate our model.We found that the LCA for trees greater than 27m (~25?30 m) in height and at least 100m2 crown size in a unit area (1 ha), explains more than 75% of total forest volume variations, irrespective of the forest biogeographic conditions. When weighted by average wood density of the stand, LCA can be used as an unbiased estimator of AGB across sites (R2=0.78, RMSE=46.02Mgha-1, bias=-0.63Mgha-1). Unlike other lidar-derived metrics with complex nonlinear relations to biomass, the relationship between LCA and AGB is linear and remains unique across forest types. A comparison with tree inventories across the study sites indicates that LCA correlates best with the crown area (or basal area) of trees with diameter greater than 50 cm. The spatial invariance of the LCA?AGB relationship across the Neotropics suggests a remarkable regularity of forest structure across the landscape and a new technique for systematic monitoring of large trees for their contribution to AGB and changes associated with selective logging, tree mortality and other types of tropical forest disturbance and dynamics. 650 $aAboveground biomass 650 $aCarbon sinks 650 $aForest canopy 650 $aForest inventory 650 $aLasers 650 $aLidar 650 $aRemote sensing 650 $aCarbono 650 $aEstoque 650 $aInventário Florestal 650 $aRaio Laser 650 $aSensoriamento Remoto 653 $aBiomassa aérea 653 $aBosques neotropicales 653 $aCubierta forestal 653 $aDossel 653 $aFloresta neotropical 653 $aInventario forestal 653 $aNeotropical forests 653 $aOld-grow lowland 653 $aPlanícies antigas 653 $aPlanicies antiguas 653 $aReservorios de carbono 653 $aTeledetección 700 1 $aSAATCHI, S. 700 1 $aCLARCK, D. B. 700 1 $aKELLER, M. 700 1 $aVICENT, G. 700 1 $aFERRAZ, A. 700 1 $aESPÍRITO-SANTO, F. 700 1 $aOLIVEIRA, M. V. N. d' 700 1 $aKAKI, D. 700 1 $aCHAVE, J. 773 $tBiogeosciences$gv. 15, n. 11, p. 3377-3390, 2018.
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