IBOV 206,646.34 ▼ 0.13% IPSA 11,139.52 ▲ 0.13% IPC MEX 64,975.08 ▲ 0.69% MERVAL 2,897,435 ▲ 0.97% COLCAP 2,596.95 ▲ 0.55% BVL PERÚ 60,220.93 ▲ 0.51% USD/BRL4.97▼ 0.38% USD/MXN17.97▼ 0.64% USD/CLP972.23▼ 0.04% USD/COP3,230▲ 1.15% USD/PEN3.44▼ 0.17% USD/ARS1,520— 0.00% USD/UYU40.09▲ 2.87% USD/PYG5,835▲ 3.25% USD/BOB11.90▲ 2.31% USD/DOP60.36▲ 4.52% USD/CRC454.50▲ 2.57% USD/GTQ7.64▲ 3.36% USD/HNL26.86▲ 3.49% USD/NIO36.62▲ 2.96% USD/VES870.21▼ 0.13% USD/PAB1.00— 0.00% USD/BZD2.00— 0.00% USD/JMD 157.28 — 0.00% USD/TTD6.68▲ 1.99% EUR/BRL5.60▼ 4.63% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73% IBOV 206,646.34 ▼ 0.13% IPSA 11,139.52 ▲ 0.13% IPC MEX 64,975.08 ▲ 0.69% MERVAL 2,897,435 ▲ 0.97% COLCAP 2,596.95 ▲ 0.55% BVL PERÚ 60,220.93 ▲ 0.51% USD/BRL 5.16 ▲ 0.01% USD/MXN 17.06 ▼ 0.24% USD/CLP 913.98 ▲ 0.04% USD/COP 3,140 ▲ 0.03% USD/PEN 3.36 ▼ 0.66% USD/ARS 1,493 ▲ 0.10% USD/UYU 40.27 ▲ 1.24% USD/PYG 5,939 ▲ 1.68% USD/BOB 11.64 ▼ 0.76% USD/DOP 58.34 ▲ 1.25% USD/CRC 445.92 ▲ 0.89% USD/GTQ 7.62 ▲ 2.21% USD/HNL 26.79 ▲ 1.57% USD/NIO 36.62 ▲ 0.69% USD/VES 762.44 ▼ 0.13% USD/PAB 1.00 — 0.00% USD/BZD 2.00 — 0.00% USD/JMD 157.28 — 0.00% USD/TTD 6.70 ▲ 0.61% EUR/BRL 5.95 ▲ 1.01% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73%
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Tuesday, October 6, 2026

Brazil burned an area equivalent to Colombia and Chile between 1985 and 2022

By · April 26, 2023 · 3 min read

By Paulliny Tort*

In 38 years, Brazil burned 185.7 million hectares, an area equivalent to the territories of Colombia and Chile together, or 21.8% of the national territory.

This is what MapBiomas Fogo data reveals, mapping that counted the extension consumed by flames between 1985 and 2022 based on satellite images.

“With this historical series of fire data, we can understand the effect of climate and human action on wildfires and forest fires,” says Ane Alencar, coordinator of MapBiomas Fogo and director of Science at the Instituto de Pesquisa Ambiental da Amazônia (IPAM) [Amazon Environmental Research Institute].

Burning in a Cerrado area in the municipality of Alto Paraíso near the Chapada dos Veadeiros National Park in Goiás (Photo)
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Using images generated by three Landsat satellites, fire action was tracked in all types of land use and land cover in Brazilian territory.

According to the results, the Cerrado and the Amazon were the most affected biomes, corresponding to about 86% of the burned area.

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The Cerrado burned an average of 7.9 million hectares/year, or an area equivalent to the territory of Scotland each year.

In the case of the Amazon, the average was 6.8 million hectares/year.

When the proportions of the affected areas within the biomes are analyzed, the Pantanal was most affected: 51% of its territory was consumed by fire in this period.

COVER IMPACTED BY FIRE

According to the analysis, more than two-thirds (68.9%) of the burnings and fires occurred in native vegetation, although the proportion varies between biomes.

Fields and savannas, for example, are the most affected types of native vegetation.

At the same time, the Amazon and Atlantic Forests showed a higher incidence of fire in anthropic areas, that is, areas altered by humans, such as pasture zones.

Mato Grosso was the state that presented the highest occurrence of fire in the analyzed period, followed by Pará and Maranhão.

The municipalities that burned the most in the country were Corumbá (MS), São Félix do Xingu (PA), and Formosa do Rio Preto (BA).

According to Ane, fire is not always undesirable.

“Fire is only bad when used inappropriately and in biomes that do not depend on fire to maintain themselves, such as the Amazon.”

“In biomes like the Cerrado, the Pantanal, and the Pampa, fire has an ecological role and must be managed correctly to avoid becoming an agent of destruction,” explains the specialist.

FREQUENCY AND INTENSITY

Although it is natural in some ecosystems, data shows that the frequency and intensity of fire have increased in recent years due to deforestation and climate change, which affects temperatures and intensifies drought periods.

“For this, practices related to Integrated Fire Management (IFM) are important because they can, through prescribed and controlled burning, reduce the amount of combustible material and avoid large fires,” says Ane.

The complete mapping data can be accessed for free on the MapBiomas platform, bringing universities, NGOs, and technology companies together.

The study also makes available clippings by frequency, biome, state, municipality, watershed, conservation unit, indigenous land, settlements, and areas with Rural Environmental Registry (CAR).

This registry is a mandatory public record for all rural properties and gathers information for environmental and economic planning to combat deforestation.

*Edition Heloisa Cristaldo

With information from Agência Brasil

Editorial responsibility: Matthias Camenzind, Editor-in-Chief · Editorial standards · Report an error

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