English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Evaluation of climate-related carbon turnover processes in global vegetation models for boreal and temperate forests

Thurner, M., Beer, C., Ciais, P., Friend, A. D., Ito, A., Kleidon, A., et al. (2017). Evaluation of climate-related carbon turnover processes in global vegetation models for boreal and temperate forests. Global Change Biology, 23(8), 3076-3091. doi:10.1111/gcb.13660.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-6915-E Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-8F2A-A
Genre: Journal Article

Files

show Files
hide Files
:
BGC2601s1.docx (Supplementary material), 23MB
Name:
BGC2601s1.docx
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/vnd.openxmlformats-officedocument.wordprocessingml.document / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-
:
BGC2601.pdf (Publisher version), 2MB
Name:
BGC2601.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
http://dx.doi.org/10.1111/gcb.13660 (Publisher version)
Description:
OA

Creators

show
hide
 Creators:
Thurner, Martin, Author
Beer, Christian, Author
Ciais, Philippe, Author
Friend, Andrew D., Author
Ito, Akihiko, Author
Kleidon, Axel1, Author              
Lomas, Mark R., Author
Quegan, Shaun, Author
Rademacher, Tim T., Author
Schaphoff, Sibyll, Author
Tum, Markus, Author
Wiltshire, Andy, Author
Carvalhais, Nuno2, Author              
Affiliations:
1Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497761              
2Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938310              

Content

show
hide
Free keywords: -
 Abstract: Turnover concepts in state-of-the-art global vegetation models (GVMs) account for various processes, but are often highly simplified and may not include an adequate representation of the dominant processes that shape vegetation carbon turnover rates in real forest ecosystems at a large spatial scale. Here we evaluate vegetation carbon turnover processes in GVMs participating in the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP; including HYBRID4, JeDi, JULES, LPJml, ORCHIDEE, SDGVM, and VISIT) using estimates of vegetation carbon turnover rate (k) derived from a combination of remote sensing based products of biomass and net primary production (NPP). We find that current model limitations lead to considerable biases in the simulated biomass and in k (severe underestimations by all models except JeDi and VISIT compared to observation-based average k), likely contributing to underestimation of positive feedbacks of the northern forest carbon balance to climate change caused by changes in forest mortality. A need for improved turnover concepts related to frost damage, drought and insect outbreaks in order to better reproduce observation-based spatial patterns in k is identified. Since direct frost damage effects on mortality are usually not accounted for in these GVMs, simulated relationships between k and winter length in boreal forests are not consistent between different regions and strongly biased compared to the observation-based relationships. Some models show a response of k to drought in temperate forests as a result of impacts of water availability on NPP, growth efficiency or carbon balance dependent mortality as well as soil or litter moisture effects on leaf turnover or fire. However, further direct drought effects like carbon starvation (only in HYBRID4) or hydraulic failure are usually not taken into account by the investigated GVMs. While they are considered dominant large-scale mortality agents, mortality mechanisms related to insects and pathogens are not explicitly treated in these models.

Details

show
hide
Language(s):
 Dates: 2017-02-132017-04-052017-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: Other: BGC2601
DOI: 10.1111/gcb.13660
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Global Change Biology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Oxford, UK : Blackwell Science
Pages: - Volume / Issue: 23 (8) Sequence Number: - Start / End Page: 3076 - 3091 Identifier: ISSN: 1354-1013
CoNE: /journals/resource/954925618107