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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/44KK2D5
Repositóriosid.inpe.br/mtc-m21c/2021/05.04.15.50
Última Atualização2021:05.04.15.50.49 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/05.04.15.50.49
Última Atualização dos Metadados2022:04.03.22.28.39 (UTC) administrator
DOI10.5194/bg-18-2511-2021
ISSN1726-4170
Chave de CitaçãoSampaioSGAGCDRVRL:2021:COPhEf
TítuloCO2 physiological effect can cause rainfall decrease as strong as large-scale deforestation in the Amazon
Ano2021
MêsApr.
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4565 KiB
2. Contextualização
Autor 1 Sampaio, Gilvan
 2 Shimizu, Marília Harumi
 3 Guimarães Júnior, Carlos Augusto
 4 Alexandre, Felipe Ferreira
 5 Guatura, Marcelo Barbosa da Silva
 6 Cardoso, Manoel Ferreira
 7 Domingues, Tomas F.
 8 Ramming, Anja
 9 Von Randow, Celso
10 Rezende, Luiz Felipe Campos de
11 Lapola, David M.
Grupo 1 CGCT-CGCT-INPE-MCTI-GOV-BR
 2 DIPTC-CGCT-INPE-MCTI-GOV-BR
 3 DIIAV-CGCT-INPE-MCTI-GOV-BR
 4 DIPTC-CGCT-INPE-MCTI-GOV-BR
 5 CGCT-CGCT-INPE-MCTI-GOV-BR
 6 DIIAV-CGCT-INPE-MCTI-GOV-BR
 7
 8
 9 DIIAV-CGCT-INPE-MCTI-GOV-BR
10 DIIAV-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 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)
 7 Universidade de São Paulo (USP)
 8 Technical University of Munich
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
11 Universidade Estadual de Campinas (UNICAMP)
Endereço de e-Mail do Autor 1 gilvan.sampaio@inpe.br
 2 marilia.shimizu@gmail.com
 3 carlos.junior@inpe.br
 4 felipe.falexandre09@gmail.com
 5 guaturamarcelo@gmail.com
 6 manoelfcardoso@gmail.com
 7
 8
 9 celso.vonrandow@inpe.br
10 luizfeliperezende@gmail.com
11 dmlapola@unicamp.br
RevistaBiogeosciences
Volume18
Número8
Páginas2511-2525
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE A2_CIÊNCIAS_BIOLÓGICAS_I B1_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2021-05-04 15:50:49 :: simone -> administrator ::
2021-05-04 15:50:50 :: administrator -> simone :: 2021
2021-05-04 15:54:29 :: simone -> administrator :: 2021
2021-06-22 19:11:17 :: administrator -> simone :: 2021
2021-06-22 20:34:56 :: simone -> administrator :: 2021
2021-07-02 02:27:16 :: administrator -> simone :: 2021
2021-10-01 12:39:31 :: simone -> administrator :: 2021
2022-04-03 22:28:39 :: 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
ResumoThe climate in the Amazon region is particularly sensitive to surface processes and properties such as heat fluxes and vegetation coverage. Rainfall is a key expression of the land surface atmosphere interactions in the region due to its strong dependence on forest transpiration. While a large number of past studies have shown the impacts of large-scale deforestation on annual rainfall, studies on the isolated effects of elevated atmospheric CO2concentrations (eCO2) on canopy transpiration and rainfall are scarcer. Here, for the first time, we systematically compare the plant physiological effects of eCO2and deforestation on Amazon rainfall. We use the CPTEC Brazilian Atmospheric Model (BAM) with dynamic vegetation under a 1.5CO2experiment and a 100% substitution of the forest by pasture grasslands, with all other conditions held similar between the two scenarios. We find that both scenarios result in equivalent average annual rainfall reductions (Physiology: 257 mm, 12 %; Deforestation: 183 mm, 9 %) that are above the observed Amazon rainfall interannual variability of 5 %. The rainfall decreases predicted in the two scenarios are linked to a reduction of approximately 20% in canopy transpiration but for different reasons: The eCO2-driven reduction of stomatal conductance drives the change in the Physiology experiment, and the smaller leaf area index of pasturelands (72% compared to tropical forest) causes the result in the Deforestation experiment. The Walker circulation is modified in the two scenarios: in Physiology due to a humidity-enriched free troposphere with decreased deep convection due to the heightening of a drier and warmer (C2.1 C) boundary layer, and in Deforestation due to enhanced convection over the Andes and a subsidence branch over the eastern Amazon without considerable changes in temperature (0.2 C in 2m air temperature and C0.4 C in surface temperature). But again, these changes occur through different mechanisms: strengthened west winds from the Pacific and reduced easterlies entering the basin affect the Physiology experiment, and strongly increased easterlies influence the result of the Deforestation experiment. Although our results for the Deforestation scenario agree with the results of previous observational and modelling studies, the lack of direct field-based ecosystem-level experimental evidence regarding the effect of eCO2on moisture fluxes in tropical forests confers a considerable level of uncertainty to any projections of the physiological effect of eCO2on Amazon rainfall. Furthermore, our results highlight the responsibilities of both Amazonian and non-Amazonian countries to mitigate potential future climatic change and its impacts in the region, driven either by local deforestation or global CO2emissions.
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DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
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