Journal
BIOGEOSCIENCES
Volume 13, Issue 11, Pages 3359-3375Publisher
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/bg-13-3359-2016
Keywords
-
Categories
Funding
- EU FP7 project BACCHUS [603445]
- EU FP7 project LUC4C [603542]
- German Federal Ministry of Education and Research (BMBF), through the Helmholtz Association and its research programme ATMO
- HGF Impulse and Networking fund
- Biological Resources Division of the US Geological Survey [CA 12681901,112-]
- US Department of Energy [LWT-6212306509]
- US Forest Service [PNW96-5I0 9 -2-CA]
- Joint Fire Science Program
- AXA Research Fund under the Chair Programme in Biosphere and Climate Impacts, part of the Imperial College initiative Grand Challenges in Ecosystems and the Environment
- National Natural Science Foundation [41475099, 2010CB951801]
- European Research Council [COEVOLVE 313797]
- National Science Foundation
- Carbon Mitigation Initiative
- Open University Research Investment Fellowship scheme
- NERC [NE/J010057/1] Funding Source: UKRI
- Natural Environment Research Council [1377877, NE/J010057/1] Funding Source: researchfish
Ask authors/readers for more resources
Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geographic pattern of future fire impacts rests on our ability to model fire regimes, using either well-founded empirical relationships or process-based models with good predictive skill. While a large variety of models exist today, it is still unclear which type of model or degree of complexity is required to model fire adequately at regional to global scales. This is the central question underpinning the creation of the Fire Model Intercomparison Project (FireMIP), an international initiative to compare and evaluate existing global fire models against benchmark data sets for present-day and historical conditions. In this paper we review how fires have been represented in fire-enabled dynamic global vegetation models (DGVMs) and give an overview of the current state of the art in fire-regime modelling. We indicate which challenges still remain in global fire modelling and stress the need for a comprehensive model evaluation and outline what lessons may be learned from FireMIP.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available