Cited by 684Fire effects on ecosystemsPlant Water Relations and Carbon DynamicsEcosystem dynamics and resilience

The role of fire disturbance for global vegetation dynamics: coupling fire into a Dynamic Global Vegetation Model

Thonicke, Kirsten, Venevsky, Sergey, Sitch, Stephen, Cramer, Wolfgang·2001·Global Ecology and Biogeography

Abstract

Abstract Disturbances from fire, wind‐throw, insects and other herbivores are, besides climate, CO2, and soils, critical factors for composition, structure and dynamics of most vegetation. To simulate the influence of fire on the dynamic equilibrium, as well as on potential change, of vegetation at the global scale, we have developed a fire model, running inside the modular framework of the Lund–Potsdam–Jena Dynamic Global Vegetation Model (LPJ‐DGVM). Estimated litter moisture is the main driver of day‐to‐day fire probability. The length of the fire season is used to estimate the fractional area of a grid cell which is burnt in a given year. This affected area is converted into an average fire return interval which can be compared to observations. When driven by observed climate for the 20th century (at a 0.5° longitude/latitude resolution), the model yielded fire return intervals in good agreement with observations for many regions (except parts of semiarid Africa and boreal Siberia). We suggest that further improvement for these regions must involve additional process descriptions such as permafrost and fuel/fire dynamics.

Integrity signals

Registry

Crossref · 10.1046/j.1466-822x.2001.00175.x

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Thonicke et al. assume a correlation between fire season and area burned that is not apparent in our data.

    “Thonicke et al. (34) assume a correlation between fire season and area burned that is not apparent in our data”

    From Defining pyromes and global syndromes of fire regimes (2013) · cites this paper as [34]

Cited by

Sorted by citations

Authors
Thonicke, K., Venevsky, S., Sitch, S., & Cramer, W.
Affiliations
Potsdam Institute for Climate Impact Research (DE)
Corresponding author
Thonicke, Kirsten
Venue
Global Ecology and Biogeography
Publisher
Wiley
Published
2001-11
Volume
10
Issue
6
Pages
661-677
ISSN
  • 1466-822X (ISSN-L)
  • 1466-8238
OpenAlex
W2136881308
Cited by
684
References
0
Citations by year
2026: 11 · 2025: 11 · 2024: 38 · 2023: 22 · 2022: 49 · 2021: 37 · 2020: 31 · 2019: 49 · 2018: 37 · 2017: 29 · 2016: 27 · 2015: 45 · 2014: 25 · 2013: 37 · 2012: 25
FWCI
10.06
Type
journal article
Language
en
Open access
closed
Locations
  • Global Ecology and Biogeography (publishedVersion)
  • HAL (submittedVersion)
  • Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
  • Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
Keywords
fire disturbance, fire return interval, dynamic global vegetation models, fire models, litter moisture, fire season length, vegetation-climate interactions, permafrost, fuel dynamics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review