General19 regions available
land tenure, arable land, measured as carbon net primary productivity, pasture, man made
Compare carbon footprint data for land tenure, arable land, measured as carbon net primary productivity, pasture, man made across multiple sourcing regions to identify lower-emissions alternatives.
Last updated 2026-02-11
Lowest footprint
••••
kg CO2e / kg
Brazil, Santa Catarina
Highest footprint
••••
kg CO2e / kg
Brazil, Amazonas
Emissions factors by sourcing region
Identify the lowest-carbon sourcing options for your Scope 3 Category 1 reporting.
| Region | kg CO2e | Unit | Cost | Year | Components | Details |
|---|---|---|---|---|---|---|
| Brazil, Santa Catarina | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Paraíba | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Sergipe | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Ceará | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Alagoas | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Rio de Janeiro | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Piauí | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Minas Gerais | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Tocantins | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Bahia | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Maranhão | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Mato Grosso | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Espírito Santo | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Amapá | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Roraima | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Rondônia | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Acre | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Pará | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → | |
| Brazil, Amazonas | •••• | kg CO2e / kg | AI cost calculator | 2025 | View details → |
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Frequently asked questions
- What is the emissions factor for land tenure, arable land, measured as carbon net primary productivity, pasture, man made?
- The emissions factor for land tenure, arable land, measured as carbon net primary productivity, pasture, man made ranges by sourcing region. Publicly visible values are not publicly displayed, while some sources are locked in this public view.
- Which country has the lowest carbon footprint for land tenure, arable land, measured as carbon net primary productivity, pasture, man made?
- Based on available data, the lowest emissions option is varies by region.
- How do I reduce Scope 3 Category 1 emissions from land tenure, arable land, measured as carbon net primary productivity, pasture, man made?
- Switching to lower-emissions sourcing regions is one of the most effective ways to reduce Scope 3 Category 1 emissions from land tenure, arable land, measured as carbon net primary productivity, pasture, man made. Use the comparison table on this page to identify lower-carbon options.
- What lifecycle stages are included in the land tenure, arable land, measured as carbon net primary productivity, pasture, man made emissions factor?
- The emissions factor includes land use change (LUC), land management (LMGT), and energy inputs (ENI) where data is available, covering the full farm-gate carbon footprint.
- Can I use these land tenure, arable land, measured as carbon net primary productivity, pasture, man made emissions factors for supplier-level reporting?
- Yes. These emissions factors can serve as activity-based estimates for Scope 3 Category 1 (purchased goods and services) reporting under GHG Protocol. For higher accuracy, supplier-specific primary data is recommended.