1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m12.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZ3r59YD6/HJ3wj |
Repository | sid.inpe.br/iris@1912/2005/10.10.16.46 (restricted access) |
Last Update | 2005:10.10.17.46.00 (UTC) marciana |
Metadata Repository | sid.inpe.br/iris@1912/2005/10.10.16.46.50 |
Metadata Last Update | 2018:06.05.00.40.32 (UTC) administrator |
Secondary Key | INPE--13078-PRE/8338 |
DOI | 10.1016/j.foreco.2005.02.062 |
ISSN | 0378-1127 |
Citation Key | AragãoShimEspiWill:2005:LaPaSp |
Title | Landscape pattern and spatial variability of leaf area index in Eastern Amazonia |
Project | Classificação e Monitoramento |
Year | 2005 |
Month | June |
Access Date | 2024, May 22 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 520 KiB |
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2. Context | |
Author | 1 Aragão, Luiz Eduardo Oliveira e Cruz de 2 Shimabukuro, Yosio Edemir 3 Espirito-Santo, Fernando Del Bom 4 Williams, Mathew |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJCQ |
Group | 1 DSR-INPE-MCT-BR 2 DSR-INPE-MCT-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto (INPE, DSR) 2 3 4 School of GeoScience, Crew Building, University of Edinburgh, Scotlend, UK |
Journal | Forest Ecology and Management |
Volume | 211 |
Number | 3 |
Pages | 240-256 |
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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Carbon 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 |
Abstract | Uncertainties 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. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Landscape pattern and... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | en |
Target File | landscape pattern.pdf |
User Group | administrator sergio |
Reader Group | administrator marciana |
Visibility | shown |
Copy Holder | SID/SCD |
Archiving Policy | denypublisher denyfinaldraft24 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3ER446E |
Dissemination | WEBSCI; PORTALCAPES; COMPENDEX. |
Host Collection | sid.inpe.br/banon/2001/04.06.10.52 |
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6. Notes | |
Empty Fields | alternatejournal 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 |
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7. Description control | |
e-Mail (login) | marciana |
update | |
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