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5 referências similares encontradas (inclusive a original) buscando em 17 dentre 17 Arquivos.
Data e hora local de busca: 24/04/2024 22:59.
1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3MBAMS8
Repositóriosid.inpe.br/mtc-m21b/2016/08.26.19.31   (acesso restrito)
Última Atualização2016:08.26.19.32.21 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/08.26.19.31.27
Última Atualização dos Metadados2018:06.04.02.41.06 (UTC) administrator
DOI10.1016/j.foreco.2016.07.010
ISSN0378-1127
Chave de CitaçãoBarniManConBarFea:2016:SpDiFo
TítuloSpatial distribution of forest biomass in Brazil's state of Roraima, northern Amazonia
Ano2016
MêsOct.
Data de Acesso24 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1568 KiB
2. Contextualização
Autor1 Barni, Paulo Eduardo
2 Manzi, Antonio Ocimar
3 Condé, Tiago Monteiro
4 Barbosa, Reinaldo Imbrozio
5 Fearnside, Philip Martin
Grupo1
2 CPT-CPT-INPE-MCTI-GOV-BR
Afiliação1 Universidade Estadual de Roraima (UERR)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Estadual de Roraima (UERR)
4 Instituto Nacional de Pesquisas da Amazônia (INPA)
5 Instituto Nacional de Pesquisas da Amazônia (INPA)
Endereço de e-Mail do Autor1
2 antonio.manzi@inpe.br
3
4
5 pmfearn@inpa.gov.br
RevistaForest Ecology and Management
Volume377
Páginas170-181
Nota SecundáriaA1_ZOOTECNIA_/_RECURSOS_PESQUEIROS A1_INTERDISCIPLINAR A1_GEOGRAFIA A1_ENGENHARIAS_III A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A2_GEOCIÊNCIAS A2_ENGENHARIAS_I A2_CIÊNCIAS_AGRÁRIAS_I B1_MATERIAIS B1_ENGENHARIAS_II B1_CIÊNCIAS_BIOLÓGICAS_I B1_BIOTECNOLOGIA
Histórico (UTC)2016-08-26 19:31:27 :: simone -> administrator ::
2016-08-26 19:31:28 :: administrator -> simone :: 2016
2016-08-26 19:32:22 :: simone -> administrator :: 2016
2016-09-02 18:13:43 :: administrator -> simone :: 2016
2016-12-21 13:51:06 :: simone -> administrator :: 2016
2018-06-04 02:41:06 :: administrator -> simone :: 2016
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 stock
Deforestation
Global warming
Greenhouse gas emissions
Protected areas
REDD
ResumoForest biomass is an important variable for calculating carbon stocks and greenhouse gas emissions from deforestation and forest fires in Brazilian Amazonia. Its spatial distribution has caused controversy due to disagreements over the application of different calculation methodologies. Standardized networks of forest surveys provide an alternative to solve this problem. This study models the spatial distribution and original total stock of forest biomass (Aboveground + Belowground + Fine and coarse litter) in Brazil's state of Roraima, taking advantage of data from georeferenced forest surveys in the region. Commercial volume (bole volume) from surveys was expanded to total biomass. Kriging techniques were used to model the spatial distribution of biomass stocks and generate a benchmark map. All results were associated with phytophysiognomic groups, climatic regions and land uses (protected areas; agricultural use). We estimate forest in the state of Roraima to have an original biomass stock of 6.32 × 109 Mg. Forest biomasses in areas with shorter dry seasons were higher as compared to forests in regions with longer dry seasons. The original vegetation in protected areas, independent of phytophysiognomic group, has higher biomass compared to areas currently under agricultural use. Protected areas support 65.8% of Roraima's stock of forest biomass, indicating an important potential role in REDD projects for conservation of forest carbon. Information on spatial distribution of biomass stocks at a more refined scale is needed to reduce uncertainties about the regional character of carbon pools in Amazonia.
ÁreaMET
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Spatial distribution of...
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Idiomaen
Arquivo Alvobarni_spatial.pdf
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Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.06.18.03 2
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
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6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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1. Identificação
Tipo de ReferênciaSlides (Audiovisual Material)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriocptec.inpe.br/walmeida/2004/08.03.15.17
Última Atualização2005:06.06.03.00.00 (UTC) administrator
Repositório de Metadadoscptec.inpe.br/walmeida/2004/08.03.15.17.12
Última Atualização dos Metadados2022:03.26.18.34.40 (UTC) administrator
Chave SecundáriaINPE-13696-PRE/8891
Chave de CitaçãoSaatchiAlva:2004:SpVaFo
TítuloSpatial Variation of Forest Structure and Aboveground Biomass in Jaru Reserve, Rondonia, Brazil
FormatoCD-ROM, On-line.
ProjetoInterações Biosfera-Atmosfera
Ano2004
Data de Acesso24 abr. 2024
Tipo SecundárioPRE CN
Número de Arquivos1
Tamanho1816 KiB
2. Contextualização
Autor1 Saatchi, Sassan S.
2 Alvala, Regina Celia dos Santos
Grupo1 DMA-INPE-MCT-BR
2 CPT-INPE-MCT-BR
Afiliação1 CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil
Endereço de e-Mailfabia@cptec.inpe.br
Nome do EventoConferencia Cientifica do LBA, 3.
Localização do EventoBrasilia
Data27-29 jul.
Histórico (UTC)2005-06-06 17:20:13 :: Fabia -> banon ::
2006-02-08 15:13:06 :: banon -> Fabia ::
2006-04-25 18:30:32 :: Fabia -> estagiario ::
2007-09-12 12:56:14 :: estagiario -> Fabia ::
2010-05-14 02:01:21 :: Fabia -> administrator ::
2022-03-26 18:34:40 :: administrator -> marciana :: 2004
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
ResumoSpatial variation in tropical rain forest structure is an important factor in quantifying the aboveground biomass (AGB) and carbon stock and extrapolating plot measurements to regional or global scales. We analyzed structural data collected in 25 ha area in an intact lowland forest around the flux tower at the Jaru Reserve in Rondonia, Brazil to address the spatial variability in stem density, basal area, canopy roughness, and AGB. The transects were designed prior to the field survery with the help of a one meter resolution IKONOS image over spectrally homogeneous regions away from disturbances. Five permanent 50 m x 1000m transects were installed and Live trees with diameter at breast height (dbh) ¡Ý 35 cm were collected within the 50 m wide transect with an addition of trees ¡Ý 5 cm in a narrower transect (5 m x 1000 m) in the middle of wider transects. Among the total of 3626 trees measured on all transects, trees with dbh ¡Ý 5 cm had average frequencies of 1015 ha-1 and whereas the trees ¡Ý 35 cm had a frequency of 48 ha-1. Allomertic equations based on dbh were used to compute canopy height and above ground biomass for various segments of the transect to estimate the effect of spatial scales from 100 m to 1 km for roughness and biomass estimation. The results for five transects are compared and the scaling criteria are discussed within and across transects.
ÁreaMET
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/cptec.inpe.br/walmeida/2004/08.03.15.17
URL dos dados zipadoshttp://urlib.net/zip/cptec.inpe.br/walmeida/2004/08.03.15.17
Idiomaen
Arquivo Alvo3_3 Sassan Saatchi Spatial Variation of Forest.pdf
Grupo de UsuáriosFabia
administrator
Visibilidadeshown
Detentor da CópiaSID/SCD
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Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/46JKC45
Divulgação<E>
Acervo Hospedeirocptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber contenttype copyright creatorhistory descriptionlevel doi electronicmailaddress identifier isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofslides orcid parameterlist parentrepositories previousedition previouslowerunit progress publisher publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/499PN4B
Repositóriosid.inpe.br/mtc-m21d/2023/06.13.14.30   (acesso restrito)
Última Atualização2023:06.13.14.30.18 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2023/06.13.14.30.18
Última Atualização dos Metadados2024:01.02.17.16.44 (UTC) administrator
DOI10.3390/f14050924
ISSN1999-4907
Chave de CitaçãoSilvaAdGaNaWaShEm:2023:SpDiSe
TítuloSpatial Distribution of Secondary Forests by Age Group and Biomass Accumulation in the Brazilian Amazon
Ano2023
MêsMay
Data de Acesso24 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho8806 KiB
2. Contextualização
Autor1 Silva, Gabriel Máximo da
2 Adami, Marcos
3 Galbraith, Davi
4 Nascimento, Rodrigo G. M.
5 Wang, Yunxia
6 Shimabukuro, Yosio Edemir
7 Emmert, Fabiano
Identificador de Curriculo1
2
3
4
5
6 8JMKD3MGP5W/3C9JJCQ
ORCID1 0000-0003-2105-9055
2 0000-0003-4247-4477
3
4 0000-0003-4981-8658
5 0000-0003-1641-4913
6 0000-0002-1469-8433
7 0000-0001-9901-125X
Grupo1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3
4
5
6 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 University of Leeds
4 Universidade Federal Rural da Amazônia (UFRA)
5 Royal Botanic Garden Edinburgh
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 gabriel.maximo@inpe.br
2 marcos.adami@inpe.br
3 d.r.galbraith@leeds.ac.uk
4 rodrigo.geroni@ufra.edu.br
5 ywang@rbge.org.uk
6 yosio.shimabukuro@inpe.br
7 fabiano.emmert@ufra.edu.br
RevistaForests
Volume14
Número5
Páginase924
Nota SecundáriaB2_INTERDISCIPLINAR B5_SOCIOLOGIA B5_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2023-06-13 14:30:55 :: simone -> administrator :: 2023
2024-01-02 17:16:44 :: administrator -> simone :: 2023
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-Chaveaboveground biomass
Amazon
carbon
secondary forests
ResumoSecondary forests provide essential ecosystem services, especially in helping to mitigate climate change with the storage of carbon in the aboveground biomass of tree species. In this context, the present research aimed to analyze the spatial distribution of secondary forests and estimate the aboveground biomass accumulation of land cover of different ages in the state of Pará. The spatial patterns of the secondary forests in Pará state were evaluated with hot spot analysis algorithms using data from the TerraClass project for the 20042014 time period. The results showed that the spatial distribution of the secondary forests did not occur randomly in space, but suggested local geopolitical influences. The younger secondary forests had the most deforested areas during the study period. Approximately 5% of Pará had its secondary forests deforested in 2014. In general, the balance of the secondary forests was positive. The aboveground biomass accumulation differed according to the secondary forest ages during the study period as evaluated in two pilot areas. It was observed that the secondary forests > 10 years old in pilot area A had an average of 23% of old-growth forest aboveground biomass in the same area, while in pilot area B, the secondary forests > 10 years old had an average of 32.7% of old-growth forest aboveground biomass.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Spatial Distribution of...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Spatial Distribution of...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 13/06/2023 11:30 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvoforests-14-00924.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 1
DivulgaçãoWEBSCI
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3TCFC6B
Repositóriosid.inpe.br/mtc-m21c/2019/05.27.11.21   (acesso restrito)
Última Atualização2019:05.27.11.21.11 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/05.27.11.21.11
Última Atualização dos Metadados2020:01.06.11.42.14 (UTC) administrator
DOI10.1016/j.foreco.2019.05.016
ISSN0378-1127
Chave de CitaçãoSilveiraEWACMMSTCS:2019:PrMoPl
TítuloPre-stratified modelling plus residuals kriging reduces the uncertainty of aboveground biomass estimation and spatial distribution in heterogeneous savannas and forest environments
Ano2019
MêsAug.
Data de Acesso24 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho9208 KiB
2. Contextualização
Autor 1 Silveira, Eduarda M. O.
 2 Espírito Santos, Fernando D.
 3 Wulder, Michael A.
 4 Acerbi Júnior, Fausto W.
 5 Carvalho, Mônica C.
 6 Mello, Carlos R.
 7 Mello, José Márcio
 8 Shimabukuro, Yosio Edemir
 9 Terra, Marcela Castro Nunes Santos
10 Carvalho, Luis Marcelo T.
11 Scolforo, José R. S.
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7
 8 8JMKD3MGP5W/3C9JJCQ
Grupo 1
 2
 3
 4
 5
 6
 7
 8 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação 1 Universidade Federal de Lavras (UFLA)
 2 University of Leicester
 3 Canadian Forest Service (Pacific Forestry Centre)
 4 Universidade Federal de Lavras (UFLA)
 5 Universidade Federal de Lavras (UFLA)
 6 Universidade Federal de Lavras (UFLA)
 7 Universidade Federal de Lavras (UFLA)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Universidade Federal de Lavras (UFLA)
10 Universidade Federal de Lavras (UFLA)
11 Universidade Federal de Lavras (UFLA)
Endereço de e-Mail do Autor 1 dudalavras@hotmail.com
 2
 3 mike.wulder@canada.ca
 4 fausto@dcf.ufla.br
 5 monicacanaam@gmail.com
 6 crmello@deg.ufla.br
 7 josemarcio@dcf.ufla.br
 8 yosio.shimabukuro@inpe.br
 9 marcelacsn@gmail.com
10 passarinho@ufla.br
11 jscolforo@dcf.ufla.br
RevistaForest Ecology and Management
Volume445
Páginas96-109
Nota SecundáriaA1_ZOOTECNIA_/_RECURSOS_PESQUEIROS A1_INTERDISCIPLINAR A1_GEOGRAFIA A1_ENGENHARIAS_III A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A2_GEOCIÊNCIAS A2_ENGENHARIAS_I A2_CIÊNCIAS_AGRÁRIAS_I B1_MATERIAIS B1_ENGENHARIAS_II B1_CIÊNCIAS_BIOLÓGICAS_I B1_BIOTECNOLOGIA
Histórico (UTC)2019-05-27 11:21:11 :: simone -> administrator ::
2019-05-27 11:21:12 :: administrator -> simone :: 2019
2019-05-27 11:22:28 :: simone -> administrator :: 2019
2020-01-06 11:42:14 :: administrator -> simone :: 2019
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-ChaveAGB
Random forests
Brazilian biomes
Climate Seasonality
ResumoMapping aboveground biomass (AGB)is a challenge in heterogeneous environments, such as the Brazilian savannas and tropical forests located in Minas Gerais state (MG), Brazil. The factors linked to AGB stocks vary in climate, soil characteristics, and stand-level structural attributes over short distances, making generalization of AGB difficult over regional-scales. We offer the hypothesis that stratification into vegetation types at the plot level plus a regression kriging technique, can reduce the variability of factors controlling AGB, helping to select the appropriate predictor variables and result in an ability to produce reliable models and maps. To do so, we incorporate remotely sensed data (Landsat and MODerate resolution Imaging Spectroradiometer-MODIS), spatio-environmental variables, and forest inventory data to develop spatial-explicit maps of AGB across three important Brazilian biomes (savanna, Atlantic forest, and semi-arid woodland). We modelled and predicted the spatial distribution of AGB of six individual vegetation types of savanna-forest biomes (shrub savanna, woodland savanna, densely wooded savanna, deciduous forest, semi-deciduous forest and rain forest), utilizing a random forests (RF)algorithm plus residual kriging, selecting the lowest number of variables that offer the best predictive performance. The stratified models notably improved the AGB prediction by reducing the mean absolute error MAE (%)and the root-mean-square error RMSE (Mg/ha)for all vegetation types, mainly for shrub savanna (MAE reduced from 82.69 to 54.73%). The AGB spatial distribution is governed mainly by precipitation and seasonality. The south and east of MG presented high values of AGB due to the predominance of semi-deciduous trees and rain forest conditions within Atlantic forest biome (total of 491,456,607 Mg), with a higher amount rain over the year, lower temperatures, and lower precipitation seasonality. Rain forests have the largest mean AGB per area (157.71 Mg/ha)while semi-deciduous forests hold the largest AGB stocks in the state (583,176,472 Mg). Shrub savannas, located in the central, northwest and north regions of MG (lower amount of rain, higher temperatures and strong seasonality), accounted the lowest amount of AGB in both total AGB (27,906,281 Mg)and AGB per area (18.80 Mg/ha). Our study demonstrates that stratification can reduce variability and improve estimates by developing individual models and selecting optimal predictor variables dependent on the characteristics of specific vegetation types. The methods demonstrated and the resultant maps and estimates improve the quality of regional biomass estimates needed to understand and mitigate climate change, enabling researchers to refine estimates of greenhouse gas emissions.
ÁreaSRE
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Idiomaen
Arquivo AlvoSilveira1-s2.0-S0378112719301185-main.pdf
Grupo de Usuáriossimone
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Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3U43M7L
Repositóriosid.inpe.br/mtc-m21c/2019/09.18.16.24   (acesso restrito)
Última Atualização2019:09.18.16.24.41 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/09.18.16.24.41
Última Atualização dos Metadados2021:03.06.05.20.56 (UTC) administrator
DOI10.1186/s13021-019-0126-8
ISSN1750-0680
Chave de CitaçãoTejadaGörEspCanOme:2019:EvSpCo
TítuloEvaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon
Ano2019
MêsSept.
Data de Acesso24 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3396 KiB
2. Contextualização
Autor1 Tejada, Graciela
2 Görgens, Eric Bastos
3 Espírito-Santo, Fernando Del Bon
4 Cantinho, Roberta Zecchini
5 Ometto, Jean Pierre Henry Balbaud
ORCID1 0000-0002-8389-0269
Grupo1 CST-CST-SESPG-INPE-MCTIC-GOV-BR
2
3
4
5 COCST-COCST-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3
4
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 gracielatejadap@gmail.com
2
3
4
5 jean.ometto@inpe.br
RevistaCarbon Balance and Management
Volume14
Número1
Páginase11
Nota SecundáriaB2_INTERDISCIPLINAR B2_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2019-09-18 16:25:35 :: simone -> administrator :: 2019
2020-01-06 11:42:22 :: administrator -> simone :: 2019
2020-01-06 16:30:55 :: simone -> administrator :: 2019
2021-03-06 05:20:56 :: administrator -> simone :: 2019
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-ChaveAmazon
Tropical rain forest
Remote sensing
Carbon
Aboveground biomass
REDD+
ResumoBackground: Brazilian Amazon forests contain a large stock of carbon that could be released into the atmosphere as a result of land use and cover change. To quantify the carbon stocks, Brazil has forest inventory plots from diferent sources, but they are unstandardized and not always available to the scientifc community. Considering the Brazil‑ ian Amazon extension, the use of remote sensing, combined with forest inventory plots, is one of the best options to estimate forest aboveground biomass (AGB). Nevertheless, the combination of limited forest inventory data and diferent remote sensing products has resulted in signifcant diferences in the spatial distribution of AGB estimates. This study evaluates the spatial coverage of AGB data (forest inventory plots, AGB maps and remote sensing products) in undisturbed forests in the Brazilian Amazon. Additionally, we analyze the interconnection between these data and AGB stakeholders producing the information. Specifcally, we provide the frst benchmark of the existing feld plots in terms of their size, frequency, and spatial distribution. Results: We synthesized the coverage of forest inventory plots, AGB maps and airborne light detection and rang‑ ing (LiDAR) transects of the Brazilian Amazon. Although several extensive forest inventories have been implemented, these AGB data cover a small fraction of this region (e.g., central Amazon remains largely uncovered). Although the use of new technology such as airborne LiDAR cover a signifcant extension of AGB surveys, these data and forest plots represent only 1% of the entire forest area of the Brazilian Amazon. Conclusions: Considering that several institutions involved in forest inventories of the Brazilian Amazon have difer‑ ent goals, protocols, and time frames for forest surveys, forest inventory data of the Brazilian Amazon remain unstand‑ ardized. Research funding agencies have a very important role in establishing a clear sharing policy to make data free and open as well as in harmonizing the collection procedure. Nevertheless, the use of old and new forest inventory plots combined with airborne LiDAR data and satellite images will likely reduce the uncertainty of the AGB distribu‑ tion of the Brazilian Amazon.
ÁreaCST
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4. Condições de acesso e uso
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Arquivo Alvos13021-019-0126-8.pdf
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/449U4PL
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.19.20.40 1
sid.inpe.br/bibdigital/2021/03.06.05.18 2
DivulgaçãoPORTALCAPES
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
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