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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4878PKB
Repositorysid.inpe.br/mtc-m21d/2022/12.13.19.45
Metadata Repositorysid.inpe.br/mtc-m21d/2022/12.13.19.45.47
Metadata Last Update2023:01.03.16.46.27 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyOliveiraLemeFisc:2022:InGlWa
TitleInfluence of global warming and Amazon deforestation in the South America biomes structures
Year2022
Access Date2024, May 17
Secondary TypePRE CI
2. Context
Author1 Oliveira, Gilvan Sampaio de
2 Lemes, Murilo da Costa Ruv
3 Fisch, Gilberto Fernando
Resume Identifier1 8JMKD3MGP5W/3C9JHBE
Group1 CGCT-CGCT-INPE-MCTI-GOV-BR
2 CST-CST-DIPGR-INPE-MCTI-GOV-BR
3 DIMNT-CGCT-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)
Author e-Mail Address1 gilvan.sampaio@inpe.br
2 murilo.ruv@gmail.com
3 fisch.gilberto@gmail.com
Conference NameAGU Fall Meeting
Conference LocationChicago, IL
Date12-16 Dec. 2022
PublisherAGU
History (UTC)2022-12-13 19:45:47 :: simone -> administrator ::
2023-01-03 16:46:27 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractSeveral studies have shown that a higher CO2 concentration in the atmosphere and the Amazon deforestation could lead changes in the South America climate. The objective of this study is to evaluate if the Amazon deforestation might anticipate the global mean temperature increase of 2oC and how it can impact the continental biomes. In order to quantify the response of Brazilian Atmospheric Model (CPTEC-BAM 1.2) to climate change and deforestation we performed a suite of simulations when the model was forced by two different sources of Sea Surface Temperatures (ACCESS (S1) IPSL (S2)) from the Coupled Model Intercomparison Project 6 (CMIP6), and after we used the Potential Vegetation Model (PVM) to simulate possible future biomes distribution. Two scenarios were created, 00DEF (00DEFS1(S2) for S1 (S2) - Amazon in natural shape and Representative Concentration Pathway (RCP) 8.5) and 100DEF (100DEFS1(S2) for S1 (S2) - total conversion of Amazon forest to grassland and RCP 8.5). The evaluations were based on the Specific Warming Level 2 (SWL2), the third-year period that the global mean temperature reaches above 2oC in comparison with the reference period (1981-2010). The results indicated an anticipation of the SWL2 index by approximately two years when deforestation in the Amazon is considered. The tropical forest decreased its spatial area in the continent between 48% (00DEFS1) and 70% (100DEFS1) and 8% (00DEFS2) and 40% (100DEFS2). The tropical seasonal forest increased 49% (100DEFS2), which indicated a major seasonality of the biome. Despite the S1 run not showing the same increase in the tropical seasonal forest the increase was overcome by savanna increase in the entire central area (169.4% - 00DEFS1 and 226.5% - 100DEFS1, reaching 2.685.592 km2). Semi-desert areas increased more in S1 experiments (106.5%) and desert areas in S2 runs (1.3%). The connected effects from global warming and Amazon deforestation might make the environmental changes more intense than predicted. In summary, the synergistic combination of deforestation and climate change resulting from global warming may lead to important impacts that add considerably to the vulnerability of tropical forest ecosystems in the region.
AreaMET
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Update Permissionnot transferred
5. Allied materials
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6. Notes
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