Vegetation fires are a major driver of ecosystem
dynamics and greenhouse gas emissions. Anticipating potential
changes in fire activity and their impacts relies first
on a realistic model of fire activity (e.g., fire incidence and
interannual variability) and second on a model accounting
for fire impacts (e.g., mortality and emissions). In this paper,
we focus on our understanding of fire activity and describe
a new fire model, HESFIRE (Human–Earth System
FIRE), which integrates the influence of weather, vegetation
characteristics, and human activities on fires in a stand-alone
framework. It was developed with a particular emphasis on
allowing fires to spread over consecutive days given their major
contribution to burned areas in many ecosystems. A subset
of the model parameters was calibrated through an optimization
procedure using observation data to enhance our
knowledge of regional drivers of fire activity and improve
the performance of the model on a global scale. Modeled fire
activity showed reasonable agreement with observations of
burned area, fire seasonality, and interannual variability in
many regions, including for spatial and temporal domains not
included in the optimization procedure. Significant discrepancies
are investigated, most notably regarding fires in boreal
regions and in xeric ecosystems and also fire size distribution.
The sensitivity of fire activity to model parameters is
analyzed to explore the dominance of specific drivers across
regions and ecosystems. The characteristics of HESFIRE and
the outcome of its evaluation provide insights into the influence of anthropogenic activities and weather, and their interactions,
on fire activityinfo:eu-repo/semantics/publishedVersio