Global and Regional Trends and Drivers of Fire Under Climate Change

Matthew W. Jones*, John T. Abatzoglou, Sander Veraverbeke, Niels Andela, Gitta Lasslop, Matthias Forkel, Adam J.P. Smith, Chantelle Burton, Richard A. Betts, Guido R. van der Werf, Stephen Sitch, Josep G. Canadell, Cristina Santín, Crystal Kolden, Stefan H. Doerr, Corinne Le Quéré

*Corresponding author for this work

Research output: Contribution to JournalReview articleAcademicpeer-review

Abstract

Recent wildfire outbreaks around the world have prompted concern that climate change is increasing fire incidence, threatening human livelihood and biodiversity, and perpetuating climate change. Here, we review current understanding of the impacts of climate change on fire weather (weather conditions conducive to the ignition and spread of wildfires) and the consequences for regional fire activity as mediated by a range of other bioclimatic factors (including vegetation biogeography, productivity and lightning) and human factors (including ignition, suppression, and land use). Through supplemental analyses, we present a stocktake of regional trends in fire weather and burned area (BA) during recent decades, and we examine how fire activity relates to its bioclimatic and human drivers. Fire weather controls the annual timing of fires in most world regions and also drives inter-annual variability in BA in the Mediterranean, the Pacific US and high latitude forests. Increases in the frequency and extremity of fire weather have been globally pervasive due to climate change during 1979–2019, meaning that landscapes are primed to burn more frequently. Correspondingly, increases in BA of ∼50% or higher have been seen in some extratropical forest ecoregions including in the Pacific US and high-latitude forests during 2001–2019, though interannual variability remains large in these regions. Nonetheless, other bioclimatic and human factors can override the relationship between BA and fire weather. For example, BA in savannahs relates more strongly to patterns of fuel production or to the fragmentation of naturally fire-prone landscapes by agriculture. Similarly, BA trends in tropical forests relate more strongly to deforestation rates and forest degradation than to changing fire weather. Overall, BA has reduced by 27% globally in the past two decades, due in large part to a decline in BA in African savannahs. According to climate models, the prevalence and extremity of fire weather has already emerged beyond its pre-industrial variability in the Mediterranean due to climate change, and emergence will become increasingly widespread at additional levels of warming. Moreover, several of the major wildfires experienced in recent years, including the Australian bushfires of 2019/2020, have occurred amidst fire weather conditions that were considerably more likely due to climate change. Current fire models incompletely reproduce the observed spatial patterns of BA based on their existing representations of the relationships between fire and its bioclimatic and human controls, and historical trends in BA also vary considerably across models. Advances in the observation of fire and understanding of its controlling factors are supporting the addition or optimization of a range of processes in models. Overall, climate change is exerting a pervasive upwards pressure on fire globally by increasing the frequency and intensity of fire weather, and this upwards pressure will escalate with each increment of global warming. Improvements to fire models and a better understanding of the interactions between climate, climate extremes, humans and fire are required to predict future fire activity and to mitigate against its consequences.

Original languageEnglish
Article numbere2020RG000726
Pages (from-to)1-76
Number of pages76
JournalReviews of Geophysics
Volume60
Issue number3
Early online date11 Apr 2022
DOIs
Publication statusPublished - Sept 2022

Bibliographical note

Funding Information:
This work was principally funded by the European Research Council under the European Union's Horizon 2020 (H2020) VERIFY project (no. 776810) and builds upon a ScienceBrief Review (A. J. P. Smith et al., 2020 ; Jones et al., 2020 ) supported by the H2020 CRESCENDO (no. 641816) and H2020 4C (no. 821003) projects. The authors thank Anthony J. De‐Gol for developing the ScienceBrief platform. The authors thank the Fire Model Intercomparison Project (FireMIP) and the modeling groups who contribute to it, for making available the data from model simulations of BA. M. W. Jones was funded by the H2020 VERIFY project (no. 776810), the H2020 CHE project (no. 776186) and the UK Natural Environment Research council (NE/V01417X/1). A. J. P. Smith was funded by the H2020 CRESCENDO project (no. 641816) and the H2020 VERIFY project (no. 776810). S. Veraverbeke was funded by a Vidi grant from the Dutch Research Council (NWO; no. 016.Vidi.189.070) and a European Research Council consolidator grant from the H2020 research and innovation programme (no. 101000987). C. Burton was supported by the Newton Fund through the Met Office Climate Science for Service Partnership Brazil (CSSP Brazil). Richard Betts was supported by the Met Office Hadley Centre Climate Progamme (GA01101), funded by the UK department of Business, Energy and Industrial Strategy (BEIS). J. G. Canadell was funded by the Australian National Environmental Science Program (Climate Systems Hub). C. Santín was supported by the UK Natural Environment Research Council (no. NE/T001194/1) and the Spanish “Ramon y Cajal” programme (no. RYC2018‐025797‐I). S. H. Doerr was supported by the UK's Natural Environment Research Council (no. NE/T003553/1). M. Forkel and S. H. Doerr were supported by the H2020 FirEUrisk project (no. 101003890). C. Le Quéré was funded by the Royal Society (no. RP\R1\191063).

Publisher Copyright:
© 2022. The Authors.

Funding

This work was principally funded by the European Research Council under the European Union's Horizon 2020 (H2020) VERIFY project (no. 776810) and builds upon a ScienceBrief Review (A. J. P. Smith et al., 2020 ; Jones et al., 2020 ) supported by the H2020 CRESCENDO (no. 641816) and H2020 4C (no. 821003) projects. The authors thank Anthony J. De‐Gol for developing the ScienceBrief platform. The authors thank the Fire Model Intercomparison Project (FireMIP) and the modeling groups who contribute to it, for making available the data from model simulations of BA. M. W. Jones was funded by the H2020 VERIFY project (no. 776810), the H2020 CHE project (no. 776186) and the UK Natural Environment Research council (NE/V01417X/1). A. J. P. Smith was funded by the H2020 CRESCENDO project (no. 641816) and the H2020 VERIFY project (no. 776810). S. Veraverbeke was funded by a Vidi grant from the Dutch Research Council (NWO; no. 016.Vidi.189.070) and a European Research Council consolidator grant from the H2020 research and innovation programme (no. 101000987). C. Burton was supported by the Newton Fund through the Met Office Climate Science for Service Partnership Brazil (CSSP Brazil). Richard Betts was supported by the Met Office Hadley Centre Climate Progamme (GA01101), funded by the UK department of Business, Energy and Industrial Strategy (BEIS). J. G. Canadell was funded by the Australian National Environmental Science Program (Climate Systems Hub). C. Santín was supported by the UK Natural Environment Research Council (no. NE/T001194/1) and the Spanish “Ramon y Cajal” programme (no. RYC2018‐025797‐I). S. H. Doerr was supported by the UK's Natural Environment Research Council (no. NE/T003553/1). M. Forkel and S. H. Doerr were supported by the H2020 FirEUrisk project (no. 101003890). C. Le Quéré was funded by the Royal Society (no. RP\R1\191063).

FundersFunder number
Australian National Environmental Science ProgramNE/T001194/1
H2020 4C821003
H2020 CHE776186
H2020 FirEUrisk101003890
H2020 research and innovation programme101000987
Met Office Hadley Centre Climate ProgammeGA01101
Horizon 2020 Framework Programme641816, 776810
Horizon 2020 Framework Programme
Newton Fund
Department for Business, Energy and Industrial Strategy, UK Government
Natural Environment Research CouncilNE/T003553/1, NE/V01417X/1
Natural Environment Research Council
Royal SocietyRP\R1\191063
Royal Society
European Commission
European Research Council
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

    Keywords

    • burned area
    • climate change
    • fire weather
    • land use
    • lightning
    • vegetation

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