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Registro Completo |
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
08/06/2018 |
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Data da última atualização: |
02/07/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Canopy area of large trees explains aboveground biomass variations across neotropical forest landscapes. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Biogeosciences, v. 15, n. 11, p. 3377-3390, 2018. |
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DOI: |
10.5194/bg-15-3377-2018 |
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Idioma: |
Inglês |
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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 |
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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. |
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Thesagro: |
Carbono; Estoque; Inventário Florestal; Raio Laser; Sensoriamento Remoto. |
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Thesaurus Nal: |
Aboveground biomass; Carbon sinks; Forest canopy; Forest inventory; Lasers; Lidar; Remote sensing. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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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
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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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Embrapa Acre (CPAF-AC) |
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