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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3D57SAS
Repositorysid.inpe.br/mtc-m19/2012/11.29.15.49   (restricted access)
Last Update2012:11.29.16.05.19 (UTC) marciana
Metadata Repositorysid.inpe.br/mtc-m19/2012/11.29.15.49.12
Metadata Last Update2018:06.05.04.13.14 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1111/j.1461-0248.2012.01864.x
ISSN1461-023X
Citation KeyStarkLWHCCMPSLKASSBWHCOS:2012:AmFoCa
TitleAmazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment
Year2012
MonthDec.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size501 KiB
2. Context
Author 1 Stark, Scott C.
 2 Leitold, Veronika
 3 Wu, Jin L.
 4 Hunter, Maria O.
 5 Castilho, Carolina V. de
 6 Costa, Flávia R. C.
 7 McMahon, Sean M.
 8 Parker, Geoffrey G.
 9 Shimabukuro, Mônica Takako
10 Lefsky, Michael A.
11 Keller, Michael
12 Alves, Luciana F.
13 Schietti, Juliana
14 Shimabukuro, Yosio Edemir
15 Brandão, Diego O.
16 Woodcock, Tara K.
17 Higuchi, Niro
18 Camargo, Plinio B. de
19 Oliveira, Raimundo C. de
20 Saleska, Scott R.
Resume Identifier 1
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14 8JMKD3MGP5W/3C9JJCQ
Group 1
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 9 DSR-OBT-INPE-MCTI-GOV-BR
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14 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation 1 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
 2 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
 3 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
 4 Complex Systems Research Center, University of New Hampshire, Durham, NH, USA
 5 Instituto Nacional de Pesquisas da Amazônia (INPA), Coordenação de Pesquisas em Ecologia, Manaus, AM, Brazil
 6 Instituto Nacional de Pesquisas da Amazônia (INPA), Coordenação de Pesquisas em Ecologia, Manaus, AM, Brazil
 7 Smithsonian Environmental Research Center, Edgewater, United States
 8 Smithsonian Environmental Research Center, Forest Ecology Group, Edgewater, MD, USA
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Natural Resource Ecology Laboratory, Colorado State University, CO, USA
11 Complex Systems Research Center, University of New Hampshire, Durham, NH, USA
12 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
13 Instituto Nacional de Pesquisas da Amazônia (INPA), Coordenação de Pesquisas em Ecologia, Manaus, AM, Brazil
14 Instituto Nacional de Pesquisas Espaciais (INPE)
15 Instituto Nacional de Pesquisas da Amazônia (INPA), Coordenação de Pesquisas em Ecologia, Manaus, AM, Brazil
16 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
17 Coordenacão de Pesquisas em Silvicultura Tropical, Instituto Nacional de Pesquisas da Amazônia, Manaus, AM, Brazil
18 Laboratório de Ecologia Isotópica, Centro de Energia Nuclear na Agricultura (CENA), Universidade de São Paulo, São Paulo, Brazil
19 Embrapa Amazônia Oriental, Pará, Brazil
20 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
JournalEcology Letters
Volume15
Number12
Pages1406–1414
Secondary MarkA1_CIÊNCIAS_AGRÁRIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_ECOLOGIA_E_MEIO_AMBIENTE A1_INTERDISCIPLINAR
History (UTC)2012-11-30 13:46:36 :: marciana -> administrator :: 2012
2016-06-04 23:19:17 :: administrator -> marciana :: 2012
2016-08-19 13:45:29 :: marciana -> administrator :: 2012
2018-06-05 04:13:14 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsBiomass growth
carbon balance
gap fraction
leaf area profiles
remote sensing of canopy structure
LiDAR
AbstractTropical forest structural variation across heterogeneous landscapes may control above-ground carbon dynamics. We tested the hypothesis that canopy structure (leaf area and light availability) remotely estimated from LiDAR control variation in above-ground coarse wood production (biomass growth). Using a statistical model, these factors predicted biomass growth across tree size classes in forest near Manaus, Brazil. The same statistical model, with no parameterisation change but driven by different observed canopy structure, predicted the higher productivity of a site 500 km east. Gap fraction and a metric of vegetation vertical extent and evenness also predicted biomass gains and losses for one-hectare plots. Despite significant site differences in canopy structure and carbon dynamics, the relation between biomass growth and light fell on a unifying curve. This supported our hypothesis, suggesting that knowledge of canopy structure can explain variation in biomass growth over tropical landscapes and improve understanding of ecosystem function.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Amazon forest carbon...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
User Groupadministrator
marciana
Reader Groupadministrator
marciana
Visibilityshown
Archiving Policydenypublisher denyfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 4
sid.inpe.br/mtc-m21/2012/07.13.15.02.10 1
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress electronicmailaddress format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate session shorttitle sponsor subject targetfile tertiarymark tertiarytype url
7. Description control
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