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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/449D4P5
Repositorysid.inpe.br/mtc-m21c/2021/03.02.19.17   (restricted access)
Last Update2021:03.02.19.17.03 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2021/03.02.19.17.03
Metadata Last Update2022:04.03.22.28.17 (UTC) administrator
DOI10.1038/s41612-021-00162-1
ISSN2397-3722
Citation KeyChaiMaNoVoChDo:2021:CoAmLa
TitleConstraining Amazonian land surface temperature sensitivity to precipitation and the probability of forest dieback
Year2021
MonthDec.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1045 KiB
2. Context
Author1 Chai, Yuanfang
2 Martins, Guilherme
3 Nobre, Carlos Afonso
4 Von Randow, Celso
5 Chen, Tiexi
6 Dolman, Han
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JGQ7
ORCID1 0000-0003-4781-0812
2 0000-0001-7693-3673
3
4 0000-0003-1045-4316
5
6 0000-0003-0099-0457
Group1
2 DIIAV-CGCT-INPE-MCTI-GOV-BR
3
4 DIIAV-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Free University Amsterdam
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Nanjing University of Science and Technology
6 Free University Amsterdam
Author e-Mail Address1
2 guilherme.martins@inpe.br
3
4 celso.vonrandow@inpe.br
JournalNPJ Climate and Atmospheric Science
Volume4
Number1
Pagese6
History (UTC)2021-03-02 19:17:59 :: simone -> administrator :: 2021
2021-06-22 19:11:14 :: administrator -> simone :: 2021
2021-06-22 20:33:26 :: simone -> administrator :: 2021
2022-04-03 22:28:17 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractThe complete or partial collapse of the forests of Amazonia is consistently named as one of the top ten possible tipping points of Planet Earth in a changing climate. However, apart from a few observational studies that showed increased mortality after the severe droughts of 2005 and 2010, the evidence for such collapse depends primarily on modelling. Such studies are notoriously deficient at predicting the rainfall in the Amazon basin and how the vegetation interacts with the rainfall is poorly represented. Here, we use long-term surface-based observations of the air temperature and rainfall in Amazonia to provide a constraint on the modelled sensitivity of temperature to changes in precipitation. This emergent constraint also allows us to significantly constrain the likelihood of a forest collapse or dieback. We conclude that Amazon dieback under IPCC scenario RCP8.5 (crossing the tipping point) is not likely to occur in the twenty-first century.
AreaCST
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Constraining Amazonian land...
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source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Filechai_constraining.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 1
sid.inpe.br/mtc-m21/2012/07.13.14.42.59 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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