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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZ3r59YD6/HJ3wj
Repositóriosid.inpe.br/iris@1912/2005/10.10.16.46   (acesso restrito)
Última Atualização2005:10.10.17.46.00 (UTC) marciana
Repositório de Metadadossid.inpe.br/iris@1912/2005/10.10.16.46.50
Última Atualização dos Metadados2018:06.05.00.40.32 (UTC) administrator
Chave SecundáriaINPE--13078-PRE/8338
DOI10.1016/j.foreco.2005.02.062
ISSN0378-1127
Chave de CitaçãoAragãoShimEspiWill:2005:LaPaSp
TítuloLandscape pattern and spatial variability of leaf area index in Eastern Amazonia
ProjetoClassificação e Monitoramento
Ano2005
MêsJune
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho520 KiB
2. Contextualização
Autor1 Aragão, Luiz Eduardo Oliveira e Cruz de
2 Shimabukuro, Yosio Edemir
3 Espirito-Santo, Fernando Del Bom
4 Williams, Mathew
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JJCQ
Grupo1 DSR-INPE-MCT-BR
2 DSR-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto (INPE, DSR)
2
3
4 School of GeoScience, Crew Building, University of Edinburgh, Scotlend, UK
RevistaForest Ecology and Management
Volume211
Número3
Páginas240-256
Histórico (UTC)2006-03-09 13:17:13 :: sergio -> administrator ::
2006-09-03 21:43:02 :: administrator -> sergio ::
2007-04-23 21:07:05 :: sergio -> administrator ::
2015-10-17 01:58:24 :: administrator -> marciana :: 2005
2016-09-14 13:06:38 :: marciana -> administrator :: 2005
2018-06-05 00:40:32 :: administrator -> marciana :: 2005
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveCarbon
Ecosystems
Forestry
Information analysis
Plants (botany)
Remote sensing
Thermal stratification
Vegetation
Water resources
Landscape unit (LU)
Leaf area index (LAI)
Process modeling
Water cycles
Land use
leaf area index
Carbon
Ecosystems
Foliar Analysis
Information Systems
Land Use
Stratification
Water Resources
Amazonia
South America
Western Hemisphere
World
ResumoUncertainties about the implications of land-cover heterogeneity on the Amazonian carbon (C) and water cycles are, in part, related to the lack of information about spatial patterns of key variables that control these fluxes at the regional scale. Leaf area index (LAI) is one of these key variables, regulating a number of ecosystem processes (e.g. evaporation, transpiration and photosynthesis). In order to generate a sampling strategy for LAI across a section of Amazonia, we generated a landscape unit (LU) map for the Tapajos region, Eastern Amazonia, as a basis for stratification. We identified seven primary forest classes, stratified according to vegetation and/or terrain characteristics, and one secondary forest class, covering 80% of the region. Primary forest units were the most representative, covering 62% of the total area. The LAI measurements were carried out in 13 selected LUs. In each LU, we marked out three 50 m x 50 m plots giving a total number of 39 plots (9.75 ha). A pair of LAI-2000 plant canopy analysers was used to estimate LAI. We recorded a total of 25 LAI measurements within each plot. We used the field data to verify the statistical distribution of LAI samples, analyse the LAI variability within and among sites, and show the influence of sample size on LAI variation and precision. The LAI showed a high coefficient of variation at the plot level (0.25 ha), from 5.2% to 23%, but this was reduced at the landscape unit level (three co-located plots, 1.8-12%). The level of precision was < 10% and 15% at the plot and landscape unit level, respectively. The LAI decreased from a dense lowland forest site (5.10) to a secondary forest (3.46) and to a pasture site (1.56). We found evidence for differences in the scale of spatial heterogeneity of closed canopy forest versus open canopy forest and palm forests. Landscape variables could, in part, explain differences in LAI among forest sites, and land use is an important modifier of LAI patterns. The stratified LAI sampling proposed in the present study could cope with three important aspects of C and water fluxes modelling: (1) optimise the information obtained from field measurements, which is an advance for models parameterisation, compared to the usual random sampling; (2) generate information for a subsequent scaling up of point field.
ÁreaSRE
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvolandscape pattern.pdf
Grupo de Usuáriosadministrator
sergio
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Detentor da CópiaSID/SCD
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX.
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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