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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C63PJF
Repositorydpi.inpe.br/plutao/2012/06.21.19.12.40
Last Update2012:08.13.14.07.05 (UTC) marciana
Metadata Repositorydpi.inpe.br/plutao/2012/06.21.19.12.41
Metadata Last Update2018:06.05.00.01.45 (UTC) administrator
DOI10.3390/su4040574
ISSN2071-1050
Labellattes: 1958394372634693 4 AdamiRuFrAgSuMe:2012:ReSeTi
Citation KeyAdamiRuFrAgSuMe:2012:ReSeTi
TitleRemote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil
Year2012
MonthApr.
Access Date2024, Apr. 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1188 KiB
2. Context
Author1 Adami, Marcos
2 Rudorff, Bernardo Friedrich Theodor
3 Freitas, Ramon Morais
4 Aguiar, Daniel Alves de
5 Sugawara, Luciana Miura
6 Mello, Márcio Pupin de
Resume Identifier1
2 8JMKD3MGP5W/3C9JGKP
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4 DSR-OBT-INPE-MCTI-GOV-BR
5 DSR-OBT-INPE-MCTI-GOV-BR
6 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 adami@dsr.inpe.br
2
3 ramon@dsr.inpe.br
4 daniel@dsr.inpe.br
5 lmiura@dsr.inpe.br
6 mello@ieee.org
e-Mail Addressdaniel@dsr.inpe.br
JournalSustainability
Volume4
Number4
Pages574-585
History (UTC)2012-06-22 00:11:00 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012
2012-12-13 17:38:53 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2016-06-04 01:08:02 :: administrator -> marciana :: 2012
2016-10-09 22:57:55 :: marciana -> administrator :: 2012
2018-06-05 00:01:45 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAgriculture expansion
Crop rotation
Global carbon emission
Land-use change
Landsat images
Luc
Modis
Multi-temporal
Pasture lands
Remote sensing images
Sugarcane crops
Systematic sampling
Thematic maps
Web tools
Biofuels
Crops
Deforestation
Image reconstruction
Maps
Monitoring
Radiometers
Remote sensing
Time series
Land use
Brazil
Climates
Deforestation
Fuels
Image Analysis
Land Use
Maps
Monitoring
Radio Waves
Remote Sensing
Time Series Analysis
AbstractThe use of biofuels to mitigate global carbon emissions is highly dependent on direct and indirect land use changes (LUC). The direct LUC (dLUC) can be accurately evaluated using remote sensing images. In this work we evaluated the dLUC of about 4 million hectares of sugarcane expanded from 2005 to 2010 in the South-central region of Brazil. This region has a favorable climate for rain-fed sugarcane, a great potential for agriculture expansion without deforestation, and is currently responsible for almost 90% of Brazilians sugarcane production. An available thematic map of sugarcane along with MODIS and Landast images, acquired from 2000 to 2009, were used to evaluate the land use prior to the conversion to sugarcane. A systematic sampling procedure was adopted and the land use identification prior to sugarcane, for each sample, was performed using a web tool developed to visualize both the MODIS time series and the multitemporal Landsat images. Considering 2000 as reference year, it was observed that sugarcane expanded: 69.7% on pasture land; 25.0% on annual crops; 0.6% on forest; while 3.4% was sugarcane land under crop rotation. The results clearly show that the dLUC of recent sugarcane expansion has occurred on more than 99% of either pasture or agriculture land.
AreaSRE
Arrangementurlib.net > DIDSR > Remote Sensing Time...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/3C63PJF
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3C63PJF
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Target FileAdami_et_al_2012.pdf
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DisseminationPORTALCAPES
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C64698
Repositorydpi.inpe.br/plutao/2012/06.21.21.10   (restricted access)
Last Update2012:08.17.19.24.10 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2012/06.21.21.10.26
Metadata Last Update2020:10.01.15.57.39 (UTC) administrator
DOI10.1155/2012/306723
ISSN1687-9406
Labellattes: 3852581196429739 2 FariasLoreChap:2012:SwWiDi
Citation KeyFariasLoreChap:2012:SwWiDi
TitleSwell and Wind-Sea Distributions over the Mid-Latitude and Tropical North Atlantic for the Period 2002 2008
Year2012
Access Date2024, Apr. 19
Secondary TypePRE PI
Number of Files1
Size8263 KiB
2. Context
Author1 Farias, Eduardo G. G. de
2 Lorenzzetti, Joao Antonio
3 Chapron, Bertrand
Resume Identifier1
2 8JMKD3MGP5W/3C9JHEF
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Laboratoire d’Océanographie Spatiale, Institut Français de Recherche pour l’Exploitation de la Mer (IFREMER), 70 29280 Plouzané, France
Author e-Mail Address1
2 loren@dsr.inpe.br
e-Mail Addressloren@dsr.inpe.br
JournalInternational Journal of Oceanography
Volume2012
NumberArticle ID 306723
Pages1-8
History (UTC)2012-06-22 00:11:01 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012
2013-01-16 17:12:49 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2020-10-01 15:57:39 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsWaves
Swell
Wind-Sea
Tropical Atlantic
AbstractWe present an analysis of wind-sea and swell fields for mid-latitude and tropical Atlantic for the period 20022008 using a combination of satellite data (altimeter significant wave height and scatterometer surface winds) and model results (spectrum peak wave period and propagation direction). Results show a dominance of swell over wind-sea regimes throughout the year. A small but clear decrease in swell energy and an associated increase in wind-sea potential growth were observed in the NE trade winds zone. A seasonal summertime increase in wind-sea energy in the Amazon River mouth and adjacent shelf region and in African coast was apparent in the results, probably associated to a strengthening of the alongshore trade winds in these regions. Albeit with a significantly smaller energy contribution of wind-seas as compared to swell energy, we could say that a kind of mixed seas is more evident in the trade winds region, with the remaining area being highly dominated by swell energy. An analysis of wave-age shows the absence of young-seas. Only ~2% of all data points was classified as wind-sea, a classification confirmed by a fit to a theoretical relation between wind speed, peak period, and significant wave height for fully developed wind-seas.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Swell and Wind-Sea...
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Languageen
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Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.50.46 3
DisseminationPORTALCAPES
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Educação.
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url
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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C63M4B
Repositorydpi.inpe.br/plutao/2012/06.21.18.42
Last Update2012:08.13.16.15.19 (UTC) marciana
Metadata Repositorydpi.inpe.br/plutao/2012/06.21.18.42.55
Metadata Last Update2018:06.05.00.01.44 (UTC) administrator
DOI10.3390/atmos3010164
ISSN2073-4433
Labellattes: 9873289111461387 5 AzeredoFrançaLNSFRVAC:2012:DeEmFa
Citation KeyFrançaLNSFRCAC:2012:DeEmFa
TitlePre-Harvest Sugarcane Burning: Determination of Emission Factors through Laboratory Measurements
ProjectSão Paulo Research Foundation (FAPESP, Brazil-projects 02/08964-4; 08/04490-4; and 08/56252-0).
Year2012
MonthFeb.
Access Date2024, Apr. 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1426 KiB
2. Context
Author1 França, Daniela de Azeredo
2 Longo, Karla Maria
3 Neto, Turibio Gomes Soares
4 Santos, José Carlos
5 Freitas, Saulo Ribeiro de
6 Rudorff, Bernardo F. T.
7 Cortez, Ely Vieira
8 Anselmo, Edson
9 Carvalho Jr., João Andrade
Resume Identifier1
2 8JMKD3MGP5W/3C9JHKQ
3 8JMKD3MGP5W/3C9JJAA
4
5 8JMKD3MGP5W/3C9JJ7M
6
7 8JMKD3MGP5W/3C9JH28
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 LCP-CTE-INPE-MCTI-GOV-BR
3
4 LCP-CTE-INPE-MCTI-GOV-BR
5 LCP-CTE-INPE-MCTI-GOV-BR
6 DSR-OBT-INPE-MCTI-GOV-BR
7 LCP-CTE-INPE-MCTI-GOV-BR
8 LCP-CTE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 franca@dsr.inpe.br
2 karla.longo@inpe.br
3 turibio@lcp.inpe.br
4 jcarlos@lcp.inpe.br
5 saulo.freitas@cptec.inpe.br
6 bernardo@dsr.inpe.br
7 evcortez@lcp.inpe.br
8 edson@lcp.inpe.br
9 joao.a.carvalho.jr@pq.cnpq.br
e-Mail Addresssaulo.freitas@cptec.inpe.br
JournalAtmosphere
Volume3
Number1
Pages164-180
History (UTC)2012-06-22 00:10:59 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012
2013-01-16 17:25:59 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2016-06-04 01:08:02 :: administrator -> marciana :: 2012
2016-10-14 16:48:49 :: marciana -> administrator :: 2012
2018-06-05 00:01:44 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordssugarcane burning
emission factors
experimental fires
CO2
CO
NOX
Hydrocarbons
PM2.5
AbstractSugarcane is an important crop for the Brazilian economy and roughly 50% of its production is used to produce ethanol. However, the common practice of pre-harvest burning of sugarcane straw emits particulate material, greenhouse gases, and tropospheric ozone precursors to the atmosphere. Even with policies to eliminate the practice of pre-harvest sugarcane burning in the near future, there is still significant environmental damage. Thus, the generation of reliable inventories of emissions due to this activity is crucial in order to assess their environmental impact. Nevertheless, the official Brazilian emissions inventory does not presently include the contribution from pre-harvest sugarcane burning. In this context, this work aims to determine sugarcane straw burning emission factors for some trace gases and particulate material smaller than 2.5 ìm in the laboratory. Excess mixing ratios for CO2, CO, NOX, UHC (unburned hydrocarbons), and PM2.5 were measured, allowing the estimation of their respective emission factors. Average estimated values for emission factors (g kg−1 of burned dry biomass) were 1,303 ± 218 for CO2, 65 ± 14 for CO, 1.5 ± 0.4 for NOX, 16 ± 6 for UHC, and 2.6 ± 1.6 for PM2.5. These emission factors can be used to generate more realistic emission inventories and therefore improve the results of air quality models.
AreaCST
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Pre-Harvest Sugarcane Burning:...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABCP > Pre-Harvest Sugarcane Burning:...
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source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/3C63M4B
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3C63M4B
Languageen
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Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho Vinculado à Tese/Dissertação
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3ET38CH
Citing Item Listsid.inpe.br/bibdigital/2013/09.25.23.49 4
DisseminationPORTALCAPES
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject targetfile tertiarytype url
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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C63E8S
Repositorydpi.inpe.br/plutao/2012/06.21.17.19
Last Update2012:08.13.17.26.02 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2012/06.21.17.19.58
Metadata Last Update2018:06.05.00.01.43 (UTC) administrator
DOI10.3390/su4051074
ISSN2071-1050
Labellattes: 1958394372634693 4 RudorffARAPAFC:2012:SoMoIn
Citation KeyRudorffARAPAFC:2012:SoMoIn
TitleRemote Sensing Images to Detect Soy Plantations in the Amazon Biome - The Soy Moratorium Initiative
Year2012
MonthMay
Access Date2024, Apr. 19
Secondary TypePRE PI
Number of Files1
Size1933 KiB
2. Context
Author1 Rudorff, Bernardo Friedrich Theodor
2 Adami, Marcos
3 Risso, Joel
4 Aguiar, Daniel Alves de
5 Pires, Bernardo
6 Amaral, Daniel
7 Fabiani, Leandro
8 Cecarelli, Izabel
Resume Identifier1 8JMKD3MGP5W/3C9JGKP
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Brazilian Association of Vegetable Oil Industries, São Paulo
6 Brazilian Association of Vegetable Oil Industries, São Paulo
7 Geoambiente Consulting Engineering, UNIVAP
8 Geoambiente Consulting Engineering, UNIVAP
Author e-Mail Address1 bernardo@dsr.inpe.br
2 adami@dsr.inpe.br
3 risso@dsr.inpe.br
4 daniel@dsr.inpe.br
5 bernardo@abiove.org.br
e-Mail Addressdaniel@dsr.inpe.br
JournalSustainability
Volume4
Number5
Pages1074-1088
History (UTC)2012-06-22 00:10:59 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012
2012-12-13 18:28:23 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2018-06-05 00:01:43 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsSoy Moratorium
deforestation
Amazon forest
MODIS
AbstractThe Soy Moratorium is an initiative to reduce deforestation rates in the Amazon biome based on the hypothesis that soy is a deforestation driver. Soy planted in opened areas after July 24th, 2006 cannot be commercialized by the associated companies to the Brazilian Association of Vegetable Oil Industries (ABIOVE) and the National Association of Cereal Exporters (ANEC), which represent about 90% of the Brazilian soy market. The objective of this work is to present the evaluation of the fourth year of monitoring new soy plantations within the Soy Moratorium context. With the use of satellite images from the MODIS sensor, together with aerial survey, it was possible to identify 147 polygons with new soy plantations on 11,698 ha. This soy area represents 0.39% of the of the total deforested area during the moratorium, in the three soy producing states of the Amazon biome, and 0.6% of the cultivated soy area in the Amazon biome, indicating that soy is currently a minor deforestation driver. The quantitative geospatial information provided by an effective monitoring approach is paramount to the implementation of a governance process required to establish an equitable balance between environmental protection and agricultural production.
AreaSRE
Arrangementurlib.net > Produção anterior à 2021 > DIDSR > Remote Sensing Images...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/3C63E8S
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3C63E8S
Languageen
Target FileRudorff_et_al_2012.pdf
User Groupadministrator
lattes
secretaria.cpa@dir.inpe.br
Reader Groupadministrator
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Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.41 1
URL (untrusted data)http://www.mdpi.com/2071-1050/4/5/1074
DisseminationPORTALCAPES
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork
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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, Apr. 19
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
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14 8JMKD3MGP5W/3C9JJCQ
Group 1
 2
 3
 4
 5
 6
 7
 8
 9 DSR-OBT-INPE-MCTI-GOV-BR
10
11
12
13
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.
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