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New analysis reveals extent of unauthorised deforestation in Brazil

6 min read

Instituto Centro de Vida and Trase have published a new dataset on deforestation permits that could help companies, regulators and financial institutions manage deforestation risks in supply chains.

Soy plantation contrasted with Brazil's Cerrado
Soy plantation in Brazil's Cerrado (Victor Moriyama for Rainforest Foundation)

Global market rules are now sharpening the focus on legal compliance alongside deforestation-free supply chains. Despite delays to its implementation, the EU Deforestation Regulation has led many companies to invest in due diligence systems to comply with its prohibition on commodities that were illegally produced or grown on deforested land. Meanwhile China, the largest buyer of Brazilian soy and beef, has begun piloting deforestation and conversion-free imports, which points to a growing demand for legality-assured supply chains.

In Brazil, the Amazon and Cerrado biomes are threatened by the expansion of agricultural commodities. While the Brazilian Forest Code provides the legal framework for land use, verifying compliance at scale remains a challenge. An initial piece of evidence for compliance is the Authorisation for the Suppression of Vegetation (ASV), issued by environmental agencies to allow the removal and conversion of native vegetation. However, despite recent efforts aimed at increasing transparency and integrating data, information on these authorisations is often decentralised and difficult to access, creating a significant data gap. Without transparent, consolidated data on ASVs, it is difficult for buyers and regulators to know whether a specific area of deforestation was authorised or not.

To address this data gap, the Instituto Centro de Vida (ICV) has published a systematic ASV database for Brazil. This initiative consolidates publicly available data on authorisations for native vegetation clearance making information more accessible for assessing legal compliance in regions impacted by deforestation in Brazil.

New analysis shows evidence of non-compliance

Trase is working with ICV to use this new database to bring further clarity on how consumer markets are exposed to unauthorised deforestation via imports of beef and soy from Brazil. In the first stage of this project, we compared official PRODES satellite deforestation data for the period 2009–2024 with valid ASVs in order to estimate how much recent deforestation has taken place without an authorisation across the Amazon, Cerrado and Pantanal.

The results show a significant lack of public authorisations for the conversion of native vegetation. Across both the Amazon and Cerrado, deforestation totalled 26.4 million hectares (Mha) between 2009 and 2024. Of this total, 22.8 Mha (86%) lacked issued authorisations to clear native vegetation, while only 3.6 Mha (14%) overlapped areas with an ASV. This suggests that most of the deforestation in these biomes occurred without a recorded and publicly disclosed permit (see disclaimer at end).

Interactive chart: In Brazil, most deforestation happens without authorisation

Loading chart...
Data for the chart: In Brazil, most deforestation happens without authorisation
trase_idibge_geocodmunicipalitybiometotal_prodes_deforestationdeforestation_with_asvdeforestation_without_asvdeforestation_no_embargodeforestation_embargodeforestation_with_asv_pctdeforestation_without_asv_pctdeforestation_no_embargo_pct
BR-11000151100015Alta Floresta D'OesteAMAZONIA21433021433150826402010070.3681239210563
BR-11000231100023AriquemesAMAZONIA2078249207331724235400.23578096429602599.76421903570482.9660282937157
BR-11000311100031CabixiAMAZONIA42250422527121517010064.189349112426
BR-11000491100049CacoalAMAZONIA7308073086849471010093.7192118226601
BR-11000561100056CerejeirasAMAZONIA3098030982303807010074.338282763073
BR-11000641100064Colorado do OesteAMAZONIA19127190516602340.36610878661087999.633891213389186.8200836820084
BR-11000721100072CorumbiaraAMAZONIA4236194217321710600.44853635505193699.551463644948175.9442870632672
BR-11000801100080Costa MarquesAMAZONIA428230428232443318440010057.0557877775962
BR-11000981100098Espigão D'OesteAMAZONIA716871709762429380.99051339285714399.009486607142987.0814732142857
BR-11001061100106Guajará-MirimAMAZONIA23344023344156067757010066.8522960932145
BR-11001141100114JaruAMAZONIA329747325022829991.4255383682135398.574461631786569.2144373673036
BR-11001221100122Ji-ParanáAMAZONIA3366033662475909010073.5294117647059
BR-11001301100130Machadinho D'OesteAMAZONIA9667310329564156324404001.0675162661756698.932483733824358.2623897055021
BR-11001481100148Nova Brasilândia D'OesteAMAZONIA3966039663362604010084.7705496722138
BR-11001551100155Ouro Preto do OesteAMAZONIA1136101136147566578010041.8625121028079
BR-11001891100189Pimenta BuenoAMAZONIA236652257214081683467589.5372913585463890.462708641453671.1345869427424
BR-11002051100205Porto VelhoAMAZONIA50146277424937201953683056891.5438856782767298.456114321723338.9596818901532
BR-11002541100254Presidente MédiciAMAZONIA103901039938110010090.279114533205
BR-11002621100262Rio CrespoAMAZONIA8737578680749212950.65239784823165999.347602151768385.7502575254664
BR-11002881100288Rolim de MouraAMAZONIA1651016511385255010083.8885523924894
BR-11002961100296Santa Luzia D'OesteAMAZONIA10851910661029501.7511520737327298.248847926267394.8387096774194
BR-11003041100304VilhenaCERRADO1909721191697814250620711.095983662355388.904016337644774.6190501125831
BR-11003041100304VilhenaAMAZONIA1553239415138933649082.536698429049797.463301570950360.1081637908833
BR-11003201100320São Miguel do GuaporéAMAZONIA1551301551385276991010054.9668020370012
BR-11003381100338Nova MamoréAMAZONIA1701097517003483169871430.044089377987055499.95591062201348.8915930374054

Showing 25 of 2015 rows and 12 of 14 columns. Download the data (CSV)

In the Amazon, the evidence of unauthorised deforestation is striking. Deforestation totalled 11.7 Mha during 2009–2024, with 11.2 Mha (96%) occurring without an ASV. Furthermore, the unauthorised deforestation is highly geographically concentrated. Just five municipalities accounted for 20% of all deforestation without an ASV. Three municipalities, Altamira, São Félix do Xingu and Porto Velho, accounted for 13% of the total unauthorised deforestation.

In the Cerrado, total deforestation reached 14.7 Mha in 2009–2024. While the proportion of unauthorised deforestation is lower than in the Amazon, the absolute area is high. We found that 11.7 Mha (78%) of deforestation occurred without an ASV, while only 3.2 Mha (22%) was covered by an authorisation. Deforestation without an ASV is less concentrated in the Cerrado compared to the Amazon. Our analysis shows that 29 municipalities accounted for 20% of the total deforested area without an ASV.

Enforcement less effective in the Cerrado

ICV’s database also includes information on Embargoed Areas – sanctions issued by federal and state environmental agencies which serve as an additional indicator of environmental infractions. We compared official PRODES satellite deforestation data for the period 2009–2024 with Embargoed Areas to provide an extra layer of evidence of non-compliance.

Interactive chart: Much of the deforestation in the Amazon is associated with Embargoed Areas

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Data for the chart: Much of the deforestation in the Amazon is associated with Embargoed Areas
trase_idibge_geocodmunicipalitybiometotal_prodes_deforestationdeforestation_with_asvdeforestation_without_asvdeforestation_no_embargodeforestation_embargodeforestation_with_asv_pctdeforestation_without_asv_pctdeforestation_no_embargo_pct
BR-11000151100015Alta Floresta D'OesteAMAZONIA21433021433150826402010070.3681239210563
BR-11000231100023AriquemesAMAZONIA2078249207331724235400.23578096429602599.76421903570482.9660282937157
BR-11000311100031CabixiAMAZONIA42250422527121517010064.189349112426
BR-11000491100049CacoalAMAZONIA7308073086849471010093.7192118226601
BR-11000561100056CerejeirasAMAZONIA3098030982303807010074.338282763073
BR-11000641100064Colorado do OesteAMAZONIA19127190516602340.36610878661087999.633891213389186.8200836820084
BR-11000721100072CorumbiaraAMAZONIA4236194217321710600.44853635505193699.551463644948175.9442870632672
BR-11000801100080Costa MarquesAMAZONIA428230428232443318440010057.0557877775962
BR-11000981100098Espigão D'OesteAMAZONIA716871709762429380.99051339285714399.009486607142987.0814732142857
BR-11001061100106Guajará-MirimAMAZONIA23344023344156067757010066.8522960932145
BR-11001141100114JaruAMAZONIA329747325022829991.4255383682135398.574461631786569.2144373673036
BR-11001221100122Ji-ParanáAMAZONIA3366033662475909010073.5294117647059
BR-11001301100130Machadinho D'OesteAMAZONIA9667310329564156324404001.0675162661756698.932483733824358.2623897055021
BR-11001481100148Nova Brasilândia D'OesteAMAZONIA3966039663362604010084.7705496722138
BR-11001551100155Ouro Preto do OesteAMAZONIA1136101136147566578010041.8625121028079
BR-11001891100189Pimenta BuenoAMAZONIA236652257214081683467589.5372913585463890.462708641453671.1345869427424
BR-11002051100205Porto VelhoAMAZONIA50146277424937201953683056891.5438856782767298.456114321723338.9596818901532
BR-11002541100254Presidente MédiciAMAZONIA103901039938110010090.279114533205
BR-11002621100262Rio CrespoAMAZONIA8737578680749212950.65239784823165999.347602151768385.7502575254664
BR-11002881100288Rolim de MouraAMAZONIA1651016511385255010083.8885523924894
BR-11002961100296Santa Luzia D'OesteAMAZONIA10851910661029501.7511520737327298.248847926267394.8387096774194
BR-11003041100304VilhenaCERRADO1909721191697814250620711.095983662355388.904016337644774.6190501125831
BR-11003041100304VilhenaAMAZONIA1553239415138933649082.536698429049797.463301570950360.1081637908833
BR-11003201100320São Miguel do GuaporéAMAZONIA1551301551385276991010054.9668020370012
BR-11003381100338Nova MamoréAMAZONIA1701097517003483169871430.044089377987055499.95591062201348.8915930374054

Showing 25 of 2015 rows and 12 of 14 columns. Download the data (CSV)

The analysis shows that 46% of all deforestation in the Amazon overlaps with Embargoed Areas, meaning that almost half of the unauthorised clearing has been flagged by federal enforcers.

In contrast, only 8% of deforestation in the Cerrado overlaps with embargoes. This discrepancy suggests that while non-compliance is widespread in both biomes, enforcement is far more active in the Amazon than in the Cerrado.

Interactive chart: Enforcement is more active in the Amazon than the Cerrado

Loading chart...
Data for the chart: Enforcement is more active in the Amazon than the Cerrado
biometotal_prodes_deforestationdeforestation_with_asvdeforestation_without_asvdeforestation_no_embargodeforestation_embargodeforestation_with_asv_pctdeforestation_without_asv_pctdeforestation_no_embargo_pctdeforestation_embargo_pct
AMAZONIA1171950648071511238791639379254261940.041018367156431340.95898163284356860.54556838829213450.4630053519320695
CERRADO147695363204973115645631351378911579600.216998895564491670.78300110443550830.91497722067910590.07840192136029189

Download the data (CSV)

Managing risk in soy and beef supply chains

In the next stage of this project led by the Centre for Territorial Intelligence at the Federal University of Minas Gerais, we will focus on soy and beef production in the Cerrado, Amazon and Pantanal biomes, assessing compliance with the Forest Code and identifying cases linked to unauthorised deforestation using data on ASVs and Embargoed Areas.

This data will allow companies downstream in the supply chain that use soy and beef in their products to prioritise their due diligence and risk screening by identifying municipalities with the highest rates of unauthorised deforestation. For producer and consumer governments, it provides a roadmap for targeting enforcement and monitoring resources where they are most needed. Transparent data on legality is essential to strengthen accountability and support the transition to legal, deforestation-free supply chains.

Disclaimer: Despite Brazil's robust legal framework governing the transparency of environmental information, limitations exist in the completeness, format and accessibility of data on ASVs and Embargoed Areas. Consequently, caution should be exercised in the use and interpretation of the results of this analysis. Detailed information regarding the methodology of this analysis can be found here.




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