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Graphic Spreading Like Wi... Dominant factors contributing to burnt area

Dominant factors contributing to burnt area

The dominant factors contributing to burnt area during the height of the fire season. The strength of each control is measured as the sensitivity of, or marginal change in, the burnt area to either sufficient fuel, dry-enough fuel moisture, sufficient successful ignitions, or effective suppression by the local population and land-use fragmentation. The height of the fire season is defined as the month of the year which, on average, experiences the highest burnt area.

Year: 2022

From collection: Spreading Like Wildfire: The Rising Threat of Extraordinary Landscape Fires

Cartographer: GRID-Arendal/Studio Atlantis

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Graphics included in same album

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Adaptive strategies of biota to fire

Annual average fire density

Areas of significant change in fuel continuity and dryness

Burnt area in the Cerrado, 2007 vs 2020

Canary pine (Pinus canariensis)

Comparison of forest conditions in the North American Mediterranean climate zone’s yellow pine mixed conifer forest under continued frequent fire and absence of logging (left) versus >100 years of fire suppression and logging of firetolerant species (righ

Direct impacts of human ignitions, active suppression, and land fragmentation from agriculture on burnt areas, 2001–2014

Ecological disturbance of peatlands by wildfire

Effects of high fire frequency on chaparral in the North American Mediterranean climate region

Factors and conditions influencing wildfire occurrence

Factors influencing health

Factors influencing wildfire outcomes and management actions

Fast-growing forest plantations in Mediterranean-type climates

February to March 2020 temperature anomalies

Fire behaviour triangle

Fire extent in Australia

Fire severity and intensity

Future changes in burnt area

Global change in wildfire events

Heavy rains after major wildfires in Montecito, California

Historical wildfire impacts in New South Wales, Australia

Human health exposure

Impacts of wildfire on Sustainable Development Goals

Increases in burnt area due to changing fuel and/or moisture, 2001-2014

Integrated Fire Management - the 5Rs

Light coniferous taiga near Chersky in the Sakha Republic, Russia, burnt in 2001, with complete tree mortality.

Map of Tonl  Sap, Cambodia showing the extent of fires in 2019 on lands previously inundated on a seasonal basis.

March to September 2020 temperature anomalies

May to September 2020 precipitation anomalies

New surface fires from sub-surface fire propagation in peatlands

October to March 2019–2020 precipitation anomalies

Pedrógão Grande Wildfire Site

Potential reinforcing feedback loop of climate change on wildfires

Prevalence of recent global wildfire activity, 2014-2019

Representative Concentration Pathway (RCP)

Severely burnt forest

The 5Rs compared to damage and loss

The main biomes of the World

Total 2020 burnt area in the Pantanal

Venn diagram of recommendations arising from this Rapid Response Assessment for international and regional organisations, national and sub-national governments, and fire knowledge and fire management organisations.

Water turbidity

Wildfire attack mechanisms

Year of highest three-month period of fire

Publications it appears in

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Spreading like Wildfire: The Rising Threat of Extraordinary Landscape Fires

This report is the first report by UNEP and GRID-Arendal to take stock of the scale of the extent of the global wildfire crisis.

23 Feb 2022 Rapid Response Assessment

Related activities

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Rapid Response Assessments

This special series of reports fills the need for targeted and timely information about environmental challenges.

In progress Global

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