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The report defines forest degradation as the partial loss of forest biomass and argues that it is an increasingly relevant threat to the Brazilian Amazon, often acting as a precursor to deforestation. Analyzing data from 2007 to 2016, the study finds that degradation affects a larger area than clear-cut deforestation, averaging 11,000 km² annually. The relationship between degradation and subsequent deforestation varies by land tenure: it is lowest in protected territories and highest in small private properties and rural settlements. The authors suggest that degradation can serve as a leading indicator for imminent environmental damage, necessitating tailored public policies based on governance structures.

The report analyzes the historical and legal framework of rural land ownership in Brazil, highlighting a systemic lack of a unified land registry that fosters legal insecurity and land grabbing (grilagem). It examines the complexities of the current registration and cadastral systems, including the RGI, SNCR, and CAR, and identifies significant barriers to land regularization for traditional and vulnerable populations. The document specifically details the administrative processes and political pressures affecting Indigenous lands, quilombola territories, conservation units, and agrarian reform projects, arguing that recent legislative changes often prioritize large-scale land titling over social and environmental safeguards, thereby risking land reconcentration and increased deforestation.

The report examines how forest fires, driven by climate change in temperate regions and intentional land clearing in the Amazon, create severe air pollution that impacts large populations. It highlights the acute risks of PM2.5 particulate matter, particularly for children, the elderly, and those with pre-existing conditions, and calls for improved health system preparation, Indigenous-led fire management, and urgent global climate mitigation.

The report highlights the severe health risks posed by biomass burning in the Brazilian Amazon, noting that air quality often exceeds WHO safety limits during the burning season. It emphasizes the disproportionate impact on vulnerable groups, including a 25% increase in respiratory hospitalizations among indigenous people over 50. The document argues that these health crises are exacerbated by the COVID-19 pandemic and limited healthcare access in remote regions, calling for a moratorium on deforestation-related fires and improved air quality monitoring.

The document examines the health consequences of biomass burning in the Brazilian Amazon, highlighting the vulnerability of children, the elderly, and Indigenous populations. It notes that air quality standards in Brazil are less stringent than WHO guidelines and that monitoring systems have not been widely implemented. The brief links these fires to land clearing for agriculture and ranching, which contributes to climate change. It recommends a moratorium on deforestation, improved public health advisories, and international cooperation to meet Paris Agreement goals.

The report examines the critical health crisis in the Brazilian Amazon caused by intentional forest fires used for agricultural land clearing. It highlights that smoke-related pollution frequently exceeds WHO safety guidelines, leading to increased hospitalizations for respiratory and cardiovascular issues. Indigenous populations are identified as particularly vulnerable due to pre-existing health conditions and limited access to healthcare, with a noted synergy between air pollution and COVID-19 severity. The document calls for an urgent suspension of deforestation and the implementation of stricter air quality monitoring and public health warnings.

The document serves as a legislative annex, cataloging the federal laws, decrees, and normative instructions, as well as state-level regulations, that govern the Rural Environmental Registry (CAR) and the Environmental Regularization Program (PRA) in Brazil as of October 2021.

The report provides a detailed 'radiography' of the implementation of the Brazilian Forest Code in 2021. While CAR registration is advanced nationwide, the analysis and validation of these registries remain a critical bottleneck. Only a few states, such as Espírito Santo, have achieved high validation rates. The transition to the final stage—the Environmental Regularization Program (PRA)—is slow due to low producer interest and a lack of legal frameworks in several states. The report highlights the introduction of 'dynamic analysis' by the Brazilian Forest Service (SFB) as a potential accelerator and identifies significant legal uncertainties, particularly regarding the Atlantic Forest and the application of Article 68 of the Forest Code.

The 2021 snapshot of the Brazilian Forest Code implementation shows that while rural property registration (CAR) is well advanced nationwide, the subsequent analysis and validation stages remain significant bottlenecks. Only six states have fully operational Environmental Compliance Programs (PRA), and a group of states in the Northeast, Roraima, and Rio Grande do Sul continue to lag in legislation and implementation. Progress in 2021 included the incipient rollout of 'dynamic analysis' tools in five states and the regulation of the PRA in Amapá, Ceará, and Minas Gerais.

The report monitors the state-level implementation of Brazil's Forest Code in 2020, highlighting that while CAR registration is widespread, the analysis and validation phase remains a critical bottleneck. It notes that only six states have effectively implemented the PRA and discusses the impact of the COVID-19 pandemic and federal-level policy uncertainties on these processes.

A Global Witness investigation reveals that JBS, Marfrig, and Minerva purchased cattle from 379 ranches in Pará state between 2017 and 2019 that contained illegal deforestation, totaling over 20,000 football fields of cleared land. The report argues that these companies greenwash their operations through deficient audits by DNV-GL and Grant Thornton, which claimed compliance with no-deforestation pledges despite evidence to the contrary. Furthermore, the document highlights the role of international financial institutions, including Deutsche Bank, Santander, and HSBC, in providing billions in loans and investments to these firms. It also documents links between the beef supply chain and human rights abuses, including land-grabbing and violence against indigenous and landless peoples in areas like Apyterewa. The report concludes that voluntary private sector policies have failed and calls for mandatory due diligence laws in the UK and EU to prevent complicity in Amazon destruction.

The report highlights a critical gap in Brazil's Feasibility Studies (EVTEA) and Environmental Impact Assessments (EIAs), which often ignore indirect environmental effects of transportation projects. Using a 'market access' approach, the authors demonstrate that infrastructure improvements can drive deforestation far from the project site by reducing freight costs and incentivizing agricultural expansion. For example, while the Ferrogrão railroad may reduce direct carbon emissions, its indirect impact is estimated to increase deforestation by 2,000 km², releasing over 60 million tCOe. The report recommends that policymakers use geoprocessing and statistical tools to identify these broader areas of influence to ensure sustainable infrastructure development.

The whitepaper highlights a critical gap in how Brazil assesses the environmental impact of transport infrastructure, specifically the failure of Technical, Economic, and Environmental Feasibility Studies (EVTEA) and Environmental Impact Assessments (EIA) to account for indirect effects. It proposes a 'market access' approach, combining geoprocessing and statistical analysis, to quantify how reduced transport costs induce agricultural expansion and deforestation far from the actual project site. Using the Ferrogrão railroad as an example, the authors demonstrate that indirect carbon costs can vastly outweigh direct emissions reductions. The document recommends that EVTEAs and EIAs adopt robust methodologies to identify both direct and indirect areas of influence to ensure sustainable infrastructure development.

The Ferrogrão (EF-170) project is a proposed 930 km railroad designed to lower soy export costs from Mato Grosso by routing cargo through the Amazon rainforest to the Miritituba terminal. While intended to reduce carbon emissions, the project faces significant socio-environmental challenges, including a 2017 proposal to withdraw public access from BR-163/MT/PA that would have impacted nearly one million hectares of forests in conservation units. Despite legal challenges to environmental studies and public consultations between 2017 and 2018, the project's concession model was approved in July 2020. The analysis highlights a tension between the Brazilian government's push for infrastructure-led economic recovery and a global trend toward more rigid, sustainable socio-environmental investment standards, which are increasingly viewed by investors as a means to reduce financial risk.

The Climate Policy Initiative (CPI/PUC-Rio) analyzed the Ferrogrão railway project, finding significant gaps in its economic planning, socio-environmental governance, and risk assessment. The project, intended to lower soy export costs from Mato Grosso, faces risks of inducing 2,043 km² of deforestation. The analysis highlights a lack of transparency and a failure to align the project's technical studies with international socio-environmental standards.

The report identifies 12 cases of fire in the Amazon and Cerrado biomes in August 2020, totaling 20,064 hectares of prior deforestation. It links these fires to the preparation of land for pasture or crop production and highlights that major traders like Bunge, Cargill, and JBS are connected to farms engaging in these practices.

The document analyzes the current lack of consensus and transparency in how Brazilian government agencies and environmental assessments delimit the 'area of influence' for infrastructure projects. It highlights the risks of relying solely on distance-based radii, which may overlook indirect economic impacts, and proposes a 'market access' methodology to more accurately identify affected regions. The authors recommend separating the conceptual definition of the area of influence from its physical delimitation and integrating environmental parameters earlier in the project cycle, specifically within Feasibility Studies (EVTEA).

The document introduces a high-spatial-resolution life cycle assessment approach to quantify greenhouse gas emissions in agricultural supply chains. Applying this method to Brazilian soy exports between 2010 and 2015, the authors found significant variability in carbon footprints based on sourcing areas and destinations. The highest emissions were linked to soy from Pará and the MATOPIBA states due to natural vegetation loss, with exports to the European Union showing the highest carbon footprint per ton. Total GHG emissions for Brazilian soy exports in this period were estimated at 223.46 million tons, with China as the largest importer.

The policy brief estimates that the construction of the EF-170 Ferrogrão railway will induce the deforestation of 2,043 square kilometers of native vegetation in Mato Grosso if no mitigation measures are implemented. This land-use change is projected to release 75 million tonnes of carbon, representing an environmental cost of approximately US$ 1.9 billion, which is about 60% of the project's estimated implementation cost of US$ 3.1 billion. The analysis uses a 'market access' approach to show how improved logistics for grain producers will increase demand for land, specifically affecting 38 municipalities.

The document evaluates the environmental risks of the EF-170 Ferrogrão railroad, estimating that without mitigation, the project will induce 2,043 square kilometers of deforestation in Mato Grosso. This land-use change is projected to release 75 million tons of carbon, creating an environmental cost of approximately US$1.9 billion, which represents about 60% of the railroad's estimated US$3.1 billion implementation cost.