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4 referências similares encontradas (inclusive a original) buscando em 22 dentre 22 Arquivos.
Data e hora local de busca: 16/05/2024 08:19.
1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3UHFUR2
Repositóriosid.inpe.br/mtc-m21c/2019/12.10.10.39
Última Atualização2021:02.26.13.15.12 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/12.10.10.39.36
Última Atualização dos Metadados2021:03.06.05.22.42 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoDalagnolWPGOASGA:2019:FoCaGa
TítuloForest Canopy Gap Dynamics Vary Across a Climatic Gradient in the Brazilian Amazon
Ano2019
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho79 KiB
2. Contextualização
Autor1 Dalagnol, Ricardo
2 Wagner, Fabien Hubert
3 Phillips, Oliver L.
4 Gloor, Emanuel Ulrich
5 Ometto, Jean Pierre Henry Balbaud
6 Assis, Mauro Lúcio Rodrigues de
7 Sato, Luciane Yumie
8 Galvão, Lênio Soares
9 Aragão, Luiz Eduardo Oliveira e Cruz de
Identificador de Curriculo1
2
3
4
5
6
7
8 8JMKD3MGP5W/3C9JHLF
Grupo1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3
4
5 COCST-COCST-INPE-MCTIC-GOV-BR
6 CST-CST-SESPG-INPE-MCTIC-GOV-BR
7 COCST-COCST-INPE-MCTIC-GOV-BR
8 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
9 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 University of Leeds
4 University of Leeds
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)
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 ricardo.silva@inpe.br
2
3
4
5 jean.ometto@inpe.br
6
7 luciane.sato@inpe.br
8 lenio.galvao@inpe.br
9 luiz.aragao@inpe.br
Nome do EventoAGU Fall Meeting
Localização do EventoSan Francisco, CA
Data09-13 dec.
Histórico (UTC)2019-12-10 10:39:36 :: simone -> administrator ::
2019-12-12 12:16:43 :: administrator -> simone :: 2019
2021-02-26 13:15:13 :: simone -> administrator :: 2019
2021-03-06 05:22:42 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoThe limited knowledge on tropical tree mortality - or gap dynamics - constrains our ability to accurately model earth system processes and predict future states of ecosystems under environmental and climate change scenarios. While site-based studies have analyzed local drivers of canopy gap dynamics in neotropical forests, regional-scale climate drivers remain to be explained. Here, to describe the variability of canopy gaps and explore its relationship with climate drivers, we used 20 transects of 15 x 0.6 km (180 km²) airborne LiDAR data acquired in 2016 across a precipitation gradient in the Brazilian Amazon. Gaps were delineated considering areas with less than 10 m height, and within the sizes of 1 m² and 0.5 ha. The gap size-frequency distribution was quantified by fitting a discrete power-law probability (Zeta distribution) to the data - described by the λ parameter (low λ indicate a higher frequency of large gaps, and vice-versa). To describe the climatic gradient, we used a time series (1998-2017) of the TRMM-3B43V7 and computed for each site the mean monthly rainfall (R) and two descriptors of seasonality: Feng index (S, varies from 0 to 0.2) and the dry season length (DSL, number of months with rainfall below 100 mm). A narrow range of λ was observed varying from 1.42 to 1.63 (mean gap sizes of 37 and 7 m², respectively). Our highest λ occurred at the north-west, an area with high R (284 mm) and almost no seasonality (S and DSL = ~0). By contrast, the lowest λ occurred at the south-east, an area with lower R (170 mm) and high seasonality (S = 0.12, DSL = 7 mo). The variability of λ was largely explained by seasonality by DSL (R² = 0.56) and S (R² = 0.48) with negative relationships, and also by R (R² = 0.55) with a positive relationship. While these relationships are not necessarily causal, rainfall mean and seasonality seem to play important roles for regional-scale gap dynamics. They are likely linked to forest structure variability and turnover. Regions with lower seasonality offer abundant resources and should be more prone to high growth, faster turnover and occurrence of smaller individuals (small gaps), while regions with higher seasonality might favor slow growth, slower turnover and occurrence of fewer but larger trees (large gaps). Future investigations should consider topographic and soil effects over canopy gap dynamics.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Forest Canopy Gap...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Forest Canopy Gap...
Arranjo 3urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Forest Canopy Gap...
Conteúdo da Pasta docacessar
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Conteúdo da Pasta agreement
agreement.html 10/12/2019 07:39 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3UHFUR2
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3UHFUR2
Idiomaen
Arquivo Alvodalagnol_forest.pdf
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Grupo de Leitoresadministrator
simone
Visibilidadeshown
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5. Fontes relacionadas
Repositório Espelhourlib.net/www/2017/11.22.19.04.03
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/449U4PL
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.53.28 2
sid.inpe.br/bibdigital/2021/03.06.05.18 2
sid.inpe.br/bibdigital/2013/10.19.20.40 1
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Identificador8JMKD3MGP3W/49A5ES2
Repositóriosid.inpe.br/plutao/2023/06.15.14.15   (acesso restrito)
Última Atualização2023:12.20.11.57.00 (UTC) administrator
Repositório de Metadadossid.inpe.br/plutao/2023/06.15.14.15.13
Última Atualização dos Metadados2024:01.12.15.12.22 (UTC) administrator
DOI10.1111/btp.13226
ISSN0006-3606
Rótulolattes: 1325667605623244 8 GorgensKJMRACO:2023:TrCaGa
Chave de CitaçãoGorgensKJMRACO:2023:TrCaGa
TítuloOut of steady state: Tracking canopy gap dynamics across Brazilian Amazon
Ano2023
Data de Acesso16 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1635 KiB
2. Contextualização
Autor1 Gorgens, Eric Bastos
2 Keller, Michael
3 Jackson, Toby
4 Marra, Daniel Magnabosco
5 Reis, Cristiano Rodrigues
6 de Almeida, Danilo Roberti Alves
7 Coomes, David
8 Ometto, Jean Pierre Henry Balbaud
Grupo1
2
3
4
5
6
7
8 DIPE3-COGPI-INPE-MCTI-GOV-BR
Afiliação1
2
3
4
5
6
7
8 Instituto Nacional de Pesquisas Espaciais (INPE)
RevistaBIOTROPICA
Volume1
Páginas1-12
Nota SecundáriaA2_CIÊNCIAS_AGRÁRIAS_I A2_BIODIVERSIDADE
Histórico (UTC)2023-06-15 14:15:13 :: lattes -> administrator ::
2023-06-20 12:46:48 :: administrator -> lattes :: 2023
2023-07-21 11:44:28 :: lattes -> administrator :: 2023
2023-09-25 14:14:38 :: administrator -> lattes :: 2023
2023-12-11 15:41:26 :: lattes -> administrator :: 2023
2024-01-12 15:12:22 :: 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
ÁreaCST
Arranjourlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGPI > Out of steady...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo AlvoGorgens et all_Biotropica (2023).pdf
Grupo de Usuáriosself-uploading-INPE-MCTI-GOV-BR
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46L2FGP
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosabstract alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage e-mailaddress electronicmailaddress format holdercode isbn keywords lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/44HCAKE
Repositóriosid.inpe.br/mtc-m21c/2021/04.20.19.59
Última Atualização2021:04.20.19.59.05 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/04.20.19.59.05
Última Atualização dos Metadados2022:04.04.04.50.33 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.5194/egusphere-egu21-11046
Chave de CitaçãoSilvaWGSPGOA:2021:NeInLa
TítuloMind the gap: New insights on large-scale forest dynamics over Amazonian forests from airborne lidar and canopy gap data
Ano2021
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho278 KiB
2. Contextualização
Autor1 Silva, Ricardo Dal'Agnol da
2 Wagner, Fabien Hubert
3 Galvão, Lênio Soares
4 Streher, Annia Susin
5 Phillips, Oliver L.
6 Gloor, Emanuel
7 Ometto, Jean Pierre Henry Balbaud
8 Aragão, Luiz Eduardo Oliveira e Cruz de
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHLF
ORCID1 0000-0002-7151-8697
2 0000-0003-3614-8544
Grupo1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
5
6
7 DIPE3-COGPI-INPE-MCTI-GOV-BR
8 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 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 University of Leeds
6 University of Leeds
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 ricds@hotmail.com
2 fabien.wagner@inpe.br
3 lenio.galvao@hotmail.com
4
5
6
7 jean.ometto@inpe.br
8 luiz.aragao@inpe.br
Nome do EventoEGU General Assembly
Localização do EventoOnline
Data19-30 apr.
Editora (Publisher)EGU
Histórico (UTC)2021-04-20 19:59:05 :: simone -> administrator ::
2021-07-02 02:27:15 :: administrator -> simone :: 2021
2021-12-16 19:17:43 :: simone -> administrator :: 2021
2022-04-04 04:50:33 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoTree mortality has been pointed out as a key factor to quantify global forests carbon stocks and turnover. While there have been recent developments on observational studies aiming at detection and attribution of tree mortality using remote sensing data in temperate forests, the spatial and temporal distribution of tropical forests mortality is still poorly understood. Tropical forests pose a challenge for mortality detection due to its rich diversity of plant species and heterogeneous canopy structure, which also leads to the occurrence of very frequent and localized mortality events rather than widespread mortality as seen in some temperate forests. Here, we report on recent developments on estimates of spatialized forest dynamics over tropical forests leveraging large datasets of airborne lidar and a newly established link between canopy gaps and canopy mortality. Using multi-temporal lidar datasets collected at five Brazilian Amazon forests with varied forest structure, we linked static gaps, i.e. holes in the forest observed at one date, to dynamic gaps, i.e. gaps that opened from one date to another. Using 610 flight lines of airborne lidar data covering an area >2,300 km² across the Brazilian Amazon, we mapped the static gaps and used them to analyze potential natural and human-induced drivers using generalized linear models. Finally, we produced estimates of annual dynamic gap rates (% yr-1) for the whole Amazon using the combination of the environmental-climate model and the static-dynamic gaps relationship. Our findings show well-defined spatial patterns of dynamic gaps over the Amazon, with 20-35% faster dynamics in the west and southeast than in the central-east and north. Higher gap fractions were more often found at southern and eastern Brazilian Amazon, bordering the deforestation arch, i.e. regions with increased human influence. Dynamic gaps showed a significant relationship with field mortality rates (R² = 0.40), but with 60% lower magnitude. In fact, what we have detected is very likely mortality with the predominant emphasis of lidar on detecting uprooted and broken mode of death. The analysis also provided new insights on the dynamics of remote areas where we have never visited before. New challenges include testing the gap-method over other sites with multi-temporal data, developing methods to detect standing dead trees, and mapping other drivers such as liana-infested forests. Merging improved regional quantification of dynamic gap estimates with vegetation modelling offers potential to explore how forest dynamics is influencing carbon stocks and turnover, and how they may evolve in the future.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Mind the gap:...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Mind the gap:...
Arranjo 3Mind the gap:...
Conteúdo da Pasta docacessar
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Conteúdo da Pasta agreement
agreement.html 20/04/2021 16:59 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/44HCAKE
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/44HCAKE
Idiomaen
Arquivo AlvoEGU21-11046-print.pdf
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Grupo de Leitoresadministrator
simone
Visibilidadeshown
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
8JMKD3MGPCW/46L2FGP
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.04.04.47 2
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
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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/443H4TB
Repositóriosid.inpe.br/mtc-m21c/2021/01.25.19.27   (acesso restrito)
Última Atualização2021:01.25.19.27.27 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/01.25.19.27.27
Última Atualização dos Metadados2022:04.04.04.50.19 (UTC) administrator
DOI10.1038/s41598-020-80809-w
ISSN2045-2322
Chave de CitaçãoSilvaWGSPGPOA:2021:LaVaDy
TítuloLarge-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates
Ano2021
MêsDec.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4952 KiB
2. Contextualização
Autor1 Silva, Ricardo Dal'Agnol da
2 Wagner, Fabien Hubert
3 Galvão, Lênio Soares
4 Streher, Annia Susin
5 Phillips, Oliver L.
6 Gloor, Emanuel
7 Pugh, Thomas A. M.
8 Ometto, Jean Pierre Henry Balbaud
9 Aragão, Luiz Eduardo Oliveira e Cruz de
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHLF
Grupo1 DIOTG-CGCT-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4 DIOTG-CGCT-INPE-MCTI-GOV-BR
5
6
7
8 DIPE3-COGPI-INPE-MCTI-GOV-BR
9 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 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 University of Leeds
6 University of Leeds
7 University of Birmingham
8 Instituto Nacional de Pesquisas Espaciais (INPE)
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 ricds@hotmail.com
2 fabien.wagner@inpe.br
3 lenio.galvao@inpe.br
4
5
6
7
8 jean.ometto@inpe.br
9 luiz.aragao@inpe.br
RevistaScientific Reports
Volume11
Número1
Páginase1388
Nota SecundáriaB2_BIODIVERSIDADE B3_ODONTOLOGIA B3_LETRAS_/_LINGUÍSTICA C_CIÊNCIAS_BIOLÓGICAS_III C_BIOTECNOLOGIA C_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2021-01-25 19:28:59 :: simone -> administrator :: 2021
2021-06-22 19:11:12 :: administrator -> simone :: 2021
2021-06-22 20:23:18 :: simone -> administrator :: 2021
2021-07-02 02:27:08 :: administrator -> simone :: 2021
2021-12-16 19:18:20 :: simone -> administrator :: 2021
2022-04-04 04:50:19 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoWe report large-scale estimates of Amazonian gap dynamics using a novel approach with large datasets of airborne light detection and ranging (lidar), including five multi-temporal and 610 single-date lidar datasets. Specifically, we (1) compared the fixed height and relative height methods for gap delineation and established a relationship between static and dynamic gaps (newly created gaps); (2) explored potential environmental/climate drivers explaining gap occurrence using generalized linear models; and (3) cross-related our findings to mortality estimates from 181 field plots. Our findings suggest that static gaps are significantly correlated to dynamic gaps and can inform about structural changes in the forest canopy. Moreover, the relative height outperformed the fixed height method for gap delineation. Well-defined and consistent spatial patterns of dynamic gaps were found over the Amazon, while also revealing the dynamics of areas never sampled in the field. The predominant pattern indicates 2035% higher gap dynamics at the west and southeast than at the central-east and north. These estimates were notably consistent with field mortality patterns, but they showed 60% lower magnitude likely due to the predominant detection of the broken/uprooted mode of death. While topographic predictors did not explain gap occurrence, the water deficit, soil fertility, forest flooding and degradation were key drivers of gap variability at the regional scale. These findings highlight the importance of lidar in providing opportunities for large-scale gap dynamics and tree mortality monitoring over the Amazon.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Large-scale variations in...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGPI > Large-scale variations in...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 25/01/2021 16:27 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvodalagnol_large.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/46KUATE
8JMKD3MGPCW/46L2FGP
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.04.04.47 2
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes orcid 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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