Landscape-scale variation in forest structure and biomass along an elevation gradient in the Atlantic Forest of the Serra do Mar, Brazil.

LEITOLD, V.; KELLER, M.; MORTON, D. C.; SHIMABUKURO, Y. E.

Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1002573

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Campo DC	Valor	Idioma
dc.contributor.author	LEITOLD, V.	pt_BR
dc.contributor.author	KELLER, M.	pt_BR
dc.contributor.author	MORTON, D. C.	pt_BR
dc.contributor.author	SHIMABUKURO, Y. E.	pt_BR
dc.date.accessioned	2015-05-14T05:30:05Z	-
dc.date.available	2015-05-14T05:30:05Z	-
dc.date.created	2014-12-15	pt_BR
dc.date.issued	2015	pt_BR
dc.identifier.citation	In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015.	pt_BR
dc.identifier.uri	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1002573	pt_BR
dc.description	Landscape-scale quantification of forest structure, disturbance patterns and biomass distribution can improve our understanding of the environmental controls on the functioning of forested ecosystems. Assessing the detailed structure of the complex tropical forest canopy is a challenging task, especially in areas of steep topography where field access is limited. We used airborne lidar (light detection and ranging) data to describe the landscape-scale variation in canopy structure and gap distribution in a 1000-ha area along an elevation gradient from 0 to 1200m in the Atlantic Forest of the Serra do Mar in southeast Brazil. Mean canopy heights (MCHs) were greatest (21-22m) at intermediate elevations (200-700m) in the submontane forest where terrain slope was also the steepest (~40º). Canopy gap fraction was highest (~30%) and MCH lowest (~16m) in the montane forest areas (900-1100m) on flatter sites atop the plateau (~24º slopes). We used forest inventory data from nine 1-ha permanent field plots (PFPs) within the study area to assess aboveground biomass (AGB) stocks and changes. We established regression models based on lidar-derived canopy structure and field-based biometry data, and used these to extrapolate AGB predictions across the landscape. Comparing canopy height and disturbance distributions in the PFPs with the distributions across the broader landscape, we found that submontane PFPs showed closer correspondence with their surrounding areas, while montane PFPs consistently overestimated landscape-scale canopy height (thus AGB pools) and underestimated gap fraction (therefore AGB changes).	pt_BR
dc.language.iso	eng	eng
dc.rights	openAccess	eng
dc.subject	Airborne lidar	pt_BR
dc.subject	Biomass dynamics	pt_BR
dc.subject	Canopy structure	pt_BR
dc.subject	Gap distribution	pt_BR
dc.subject	Permanent field plots	pt_BR
dc.subject	Tropical montane forest	pt_BR
dc.title	Landscape-scale variation in forest structure and biomass along an elevation gradient in the Atlantic Forest of the Serra do Mar, Brazil.	pt_BR
dc.type	Artigo em anais e proceedings	pt_BR
dc.date.updated	2015-05-14T05:30:05Z	pt_BR
dc.format.extent2	p. 1192-1199.	pt_BR
riaa.ainfo.id	1002573	pt_BR
riaa.ainfo.lastupdate	2015-05-13	pt_BR
dc.contributor.institution	VERONIKA LEITOLD, INPE; MICHAEL KELLER, USDA/PESQUISADOR VISITANTE CNPM; DOUGLAS C. MORTON, NASA; YOSIO E. SHIMABUKURO, INPE.	pt_BR
Aparece nas coleções:	Artigo em anais de congresso (CNPM)

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