Florent Mouillot

Dr. Florent Mouillot

Institut de Recherche pour le Développement (IRD), UMR CEFE, 1919 route de Mende, 34293 Montpellier cede 5, France
orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2011 in Journal of Environmental Management
Verified
Journal Article
Closed access
FMFrancisco Moreira
Francisco Moreira
Olga ViedmaOlga Viedma
Olga Viedma
Margarita ArianoutsouMargarita Arianoutsou
Margarita Arianoutsou
TCThomas Curt
Thomas Curt
Nikos KoutsiasNikos Koutsias
Nikos Koutsias
EBErtugrul Bilgili
Ertugrul Bilgili

1 November 2020 in Earth-Science Reviews
Verified
Journal Article
Closed access
YTYves Tramblay
Yves Tramblay
AKAristeidis Koutroulis
Aristeidis Koutroulis
LSLuis Samaniego
Luis Samaniego
SVSergio M. Vicente-Serrano
Sergio M. Vicente-Serrano
FVFlorence Volaire
Florence Volaire
JPJan Polcher
Jan Polcher

1 May 2019 in Remote Sensing of Environment
Verified
Journal Article
Open access
Emilio ChuviecoEmilio Chuvieco
Emilio Chuvieco
Florent MouillotFlorent Mouillot
Florent Mouillot
GWGuido R. van der Werf
Guido R. van der Werf
JMJesús San Miguel
Jesús San Miguel
MTMihai Tanase
Mihai Tanase
LGLouis Giglio
Louis Giglio

9 June 2016 in Biogeosciences
Verified
Journal Article
Open access
PDF file
SHStijn Hantson
Stijn Hantson
AAAlmut Arneth
Almut Arneth
SHSandy Harrison
Sandy Harrison
DKDouglas I. Kelley
Douglas I. Kelley
IPI. Colin Prentice
I. Colin Prentice
CYChao Yue
Chao Yue
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.

11 March 2005 in Global Change Biology
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Journal Article
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Florent MouillotFlorent Mouillot
Florent Mouillot
CFChristopher B. Field
Christopher B. Field

14 August 2020 in Scientific Reports
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Journal Article
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JRJulien Ruffault
Julien Ruffault
TCThomas Curt
Thomas Curt
VMVincent Moron
Vincent Moron
RTRicardo Machado Trigo
Ricardo Machado Trigo
Florent MouillotFlorent Mouillot
Florent Mouillot
CBChiraz Belhadj-Khedher
Chiraz Belhadj-Khedher
Wildfire activity is expected to increase across the Mediterranean Basin because of climate change. However, the effects of future climate change on the combinations of atmospheric conditions that promote wildfire activity remain largely unknown. Using a fire-weather based classification of wildfires, we show that future climate scenarios point to an increase in the frequency of two heat-induced fire-weather types that have been related to the largest wildfires in recent years. Heat-induced fire-weather types are characterized by compound dry and warm conditions occurring during summer heatwaves, either under moderate (heatwave type) or intense (hot drought type) drought. The frequency of heat-induced fire-weather is projected to increase by 14% by the end of the century (2071–2100) under the RCP4.5 scenario, and by 30% under the RCP8.5, suggesting that the frequency and extent of large wildfires will increase throughout the Mediterranean Basin.