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1. Identity statement
Reference TypeJournal Article
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YD6/HJ3wj
Repositorysid.inpe.br/iris@1912/2005/10.10.16.46   (restricted access)
Last Update2005:10.10.17.46.00 (UTC) marciana
Metadata Repositorysid.inpe.br/iris@1912/2005/10.10.16.46.50
Metadata Last Update2018:06.05.00.40.32 (UTC) administrator
Secondary KeyINPE--13078-PRE/8338
DOI10.1016/j.foreco.2005.02.062
ISSN0378-1127
Citation KeyAragãoShimEspiWill:2005:LaPaSp
TitleLandscape pattern and spatial variability of leaf area index in Eastern Amazonia
ProjectClassificação e Monitoramento
Year2005
MonthJune
Access Date2024, May 22
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size520 KiB
2. Context
Author1 Aragão, Luiz Eduardo Oliveira e Cruz de
2 Shimabukuro, Yosio Edemir
3 Espirito-Santo, Fernando Del Bom
4 Williams, Mathew
Resume Identifier1
2 8JMKD3MGP5W/3C9JJCQ
Group1 DSR-INPE-MCT-BR
2 DSR-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto (INPE, DSR)
2
3
4 School of GeoScience, Crew Building, University of Edinburgh, Scotlend, UK
JournalForest Ecology and Management
Volume211
Number3
Pages240-256
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCarbon
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
AbstractUncertainties 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Landscape pattern and...
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4. Conditions of access and use
Languageen
Target Filelandscape pattern.pdf
User Groupadministrator
sergio
Reader Groupadministrator
marciana
Visibilityshown
Copy HolderSID/SCD
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
DisseminationWEBSCI; PORTALCAPES; COMPENDEX.
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
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7. Description control
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