- Abstract:
-
Simulations with the Hadley Centre general circulation model (HadCM3), including carbon cycle model and forced by a 'business-as-usual' emissions scenario, predict a rapid loss of Amazonian rainforest from the middle of this century onwards. The robustness of this projection to both uncertainty in physical climate drivers and the formulation of the land surface scheme is investigated. We analyse how the modelled vegetation cover in Amazonia responds to (i) uncertainty in the parameters specif...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 403.9kb)
-
- Publisher copy:
- 10.1098/rstb.2007.0028
-
Version unsuitable
-
We have not obtained a suitable full-text for a given research output. See this page for more information.
-
Recently completed
-
Sometimes content is held in ORA but is unavailable for a fixed period of time to comply with the policies and wishes of rights holders.
-
Permissions
-
All content made available in ORA should comply with relevant rights, such as copyright. See this page for more information.
-
Clearance
-
Some thesis volumes scanned as part of the digitisation scheme funded by Dr Leonard Polonsky are currently unavailable due to sensitive material or uncleared third-party copyright content. We are attempting to contact authors whose theses are affected.
- Publisher:
- Royal Society Publisher's website
- Journal:
- Philosophical Transactions of the Royal Society B Journal website
- Volume:
- 363
- Issue:
- 1498
- Pages:
- 1857-1864
- Publication date:
- 2008-05-05
- DOI:
- EISSN:
-
1471-2970
- URN:
-
uuid:8c07dba1-6ee6-4fb0-830b-869aa2eb0494
- Local pid:
- ora:3173
- Language:
- English
- Keywords:
- Subjects:
- Copyright holder:
- C. Huntingford et al.
- Copyright date:
- 2008
- Notes:
- Citation: Huntingford, C. et al. (2008). 'Towards quantifying uncertainty in predictions of Amazon 'dieback'', Phil. Trans. R. Soc. B, 363(1498), 1857-1864. [Available at http://rstb.royalsocietypublishing.org/]. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/2.5/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Journal article
Towards quantifying uncertainty in predictions of Amazon 'dieback'
Actions
Access Document
Why is the content I wish to access not available via ORA?
Bibliographic data (the information relating to research outputs) and full-text items (e.g. articles, theses, reports, etc.) arrive in ORA from several different sources. Unfortunately we are not able to make available the full-text for every research output.
Please contact the ORA team (
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
Content may be unavailable for the following four reasons
Alternative access to the full-text
You may be able to access the full-text directly from the publisher's website using the 'Publisher Copy' link in the 'Links & Downloads' box from a research output's ORA record page. This method may require an institutional or individual subscription to the journal/resource.
Authors
Bibliographic Details
Item Description
Terms of use
Metrics
Altmetrics
Dimensions
If you are the owner of this record, you can report an update to it here: Report update to this record