Mapping the Amazon’s Productive Frontiers: A New Look at Deforestation Hotspots in Pará, Brazil

Redacción HC
19/01/2025

The Amazon rainforest has long stood as a symbol of ecological richness and climate regulation. Yet beneath its dense canopy, a quiet but accelerating transformation is underway — driven not only by deforestation but by the expansion of distinct production systems. A recent study published in Forests (2025) offers a data-rich, spatially detailed assessment of how land-use patterns, infrastructure, and agricultural frontiers interact in the eastern Amazon, particularly in the state of Pará — one of the most deforested regions in Brazil.

Using advanced geospatial analysis and a novel hexagonal mapping method, researchers led by Lívia Dias and Cláudio Almeida from the Instituto Nacional de Pesquisas Espaciais (INPE) provide a systematic classification of the dominant production systems — from extensive cattle ranching to incipient agricultural frontiers. Their findings underscore the urgent need for differentiated land-use policies to balance productivity and conservation in one of Earth’s most vulnerable ecological corridors.

Zooming In: What’s Happening in Pará?

Pará, located in the eastern Amazon, is a frontline state in Brazil’s agricultural expansion. While often portrayed as a homogeneous green expanse, this region is actually a mosaic of contrasting land uses, shaped by historical colonization, infrastructure development, and production practices.

The study sought to answer a critical question: Which production systems dominate in Pará, how are they spatially distributed, and what are their environmental implications?

Researchers found that over 80% of the state’s territory is now concentrated into just three categories: preserved forest, extensive cattle ranching, and “initial front” zones — areas of recent human occupation and land clearance.

Mapping the Forest: A Hexagonal Approach to Land Use

To capture the complex spatial dynamics at play, the team divided the entire state into 12,771 hexagonal cells, each covering 10,000 hectares. This format reduces edge effects and allows for more stable spatial analysis.

Key Data Inputs

• TerraClass (2020): land use classification derived from satellite imagery
• PRODES (2020): annual deforestation monitoring
• Road infrastructure layers: to assess proximity and correlation with land-use types
• Dairy facility locations: to track livestock-related intensification

Each hexagon was classified into 13 production systems, falling under two broader categories:

• Natural Regions (NR) – areas with native vegetation and limited intervention
• Production Regions (PR) – zones with varied levels of agricultural and ranching activity

Dominant Land Systems and Their Impact

Three Systems Rule the Landscape

• Natural Region (NR): Covers 34% of the territory — largely intact forest
• Non-Intensive Beef (NIB): 26.6% — pasture-based cattle ranching with low stocking rates
• Initial Front (IF): 22.2% — frontier zones marked by early deforestation and land speculation

These systems, although different in function and intensity, are clustered geographically — a pattern confirmed by a high Moran’s I index (0.83) indicating strong spatial autocorrelation.

Roads as Vectors of Change

Areas dominated by NIB and IF systems contain the highest density of roads, representing 36% and 20% of all road kilometers, respectively. These roads serve as gateways for deforestation and fragmentation, linking remote forest areas to commercial networks.

“Roads act like arteries of land-use change, pulsing economic activity deep into forest interiors.”

Landscape Diversity and Stability

Some hexagons, especially those with mixed production systems (e.g., crop-livestock integration), showed high land-use diversity (Shannon index >1.2). These diverse mosaics may act as buffers against ecological degradation, providing both economic productivity and ecological complexity.

In contrast, areas classified under NR and IF systems exhibited low diversity values (<0.5), reflecting their dominance by a single land-use type — a potential red flag for ecological resilience.

Implications for Policy and Planning

The study highlights the need for tailored, region-specific strategies when addressing Amazon land-use dynamics. Applying the same policy to both an intact forest region and a cattle-dominated frontier is ineffective and even counterproductive.

Recommendations for Land Governance

1. Natural Regions (NR): Prioritize strict conservation and restoration; reinforce protected areas.
2. Initial Fronts (IF): Implement agroecological models early to prevent full conversion.
3. Non-Intensive Beef (NIB): Encourage intensification on existing pasturelands to reduce pressure on remaining forests.
4. Infrastructure Planning: Integrate zoning tools with road development to prevent unregulated deforestation pathways.

“One-size-fits-all strategies don’t work. Planning must be as complex and varied as the landscape itself.”

Toward Sustainable Landscapes: Lessons and Limitations

Cautions in Interpretation

• The study relies on 2020 land-use data, which may not reflect ongoing shifts.
• No field validation was conducted; results depend entirely on remote sensing classification.
• Socioeconomic variables, such as land tenure or access to credit, were not included but are critical for understanding real-world land-use decisions.

Next Steps Proposed by the Authors

• Incorporate multi-year data for temporal monitoring
• Validate maps through on-the-ground surveys
• Integrate demographic and economic indicators to better guide policy
• Expand methodology to other tropical biomes, like the Cerrado, for comparative insights

Conclusion: Rethinking the Amazon as a Patchwork of Possibilities

Rather than a binary of “forest” versus “deforested,” this study paints a nuanced picture of the Amazon as a patchwork of land systems, each with unique drivers and outcomes. The use of hexagonal spatial units and integrated landscape indicators offers a powerful tool for decision-makers who need to reconcile production goals with environmental stewardship.

In an era of tipping points and ecological urgency, understanding how and where land is used may be just as important as knowing how much is lost.

Topics of interest

Biodiversity