Impact Results
This screening model estimates climate, habitat, water, and soil impacts from land clearing using your assumptions.
Net Emissions
0 tCO₂e
Species at Risk
0 species
Water Retention Loss
0 m³/yr
Soil Erosion Increase
0 t/yr
Local Rainfall Drop
0%
Composite Impact Score
0 / 100
| Metric | Value |
|---|
Interpretation
Run the calculator to see a tailored interpretation.
Calculator Inputs
Choose a forest profile, adjust assumptions, and calculate results.
Example Data Table
Example scenario for tropical forest clearing with moderate mitigation.
| Input | Example Value | Output Snapshot |
|---|---|---|
| Area cleared | 250 hectares | Gross emissions ≈ 249,700 tCO₂e |
| Carbon density | 180 tC/ha | Net emissions after 15% mitigation ≈ 212,245 tCO₂e |
| Species density | 240 species per 1,000 ha | Species at risk ≈ 72.15 |
| Water retention loss | 4,500 m³/ha/year | Water regulation loss ≈ 1,125,000 m³/year |
| Erosion multiplier | 2.6 | Added erosion ≈ 3,600 t/year |
| Rainfall sensitivity | 1.8% per 1,000 ha | Local rainfall drop ≈ 0.59% |
Formula Used
- Area in hectares: area × unit conversion factor.
- Aboveground carbon: area × aboveground carbon density.
- Belowground carbon: aboveground carbon × root-to-shoot ratio.
- Biomass emissions: (aboveground + belowground carbon) × 44 ÷ 12.
- Soil emissions: area × soil carbon density × soil release rate × 44 ÷ 12.
- Net emissions: (biomass emissions + soil emissions) × (1 − mitigation rate).
- Species at risk: (area ÷ 1,000) × species density × fragmentation factor × mitigation adjustment.
- Water retention loss: area × water retention loss per hectare.
- Added erosion: area × baseline erosion × (erosion multiplier − 1).
- Rainfall drop: (area ÷ 1,000) × rainfall sensitivity × fragmentation factor, capped at 30%.
- Annual damage value: carbon damage + erosion damage + water regulation damage.
- Impact score: weighted sum of normalized climate, biodiversity, water, soil, and rainfall impacts, capped at 100.
How to Use This Calculator
- Select a forest type preset or switch to custom values.
- Enter the clearing area and confirm hectares or acres.
- Review carbon, soil, biodiversity, water, erosion, and rainfall assumptions.
- Add mitigation, restoration, and damage value assumptions.
- Press Calculate Impact to show results above the form.
- Review the summary table, interpretation, and impact score.
- Use the CSV or PDF buttons to export the latest results.
- Adjust assumptions to compare scenarios and build planning ranges.
Frequently Asked Questions
1) What does this calculator estimate?
It estimates emissions, biodiversity stress, water regulation loss, soil erosion increase, rainfall effects, and a combined impact score from forest clearing assumptions.
2) Are the results exact forecasts?
No. The tool is a screening model. It helps compare scenarios quickly, but local field data and ecological studies are still needed for formal assessments.
3) Why is soil carbon included?
Soil disturbance can release large carbon stores after clearing. Including soil carbon often changes total emissions significantly, especially in wet or carbon-rich ecosystems.
4) What does the fragmentation factor do?
It increases habitat risk and rainfall sensitivity when clearing breaks forests into smaller patches. Higher fragmentation usually worsens edge effects and species stress.
5) How should I choose mitigation rate?
Use a conservative value based on credible restoration plans, offsets, avoided impacts, and survival rates. Overstating mitigation can hide real ecological damage.
6) Can I use acres instead of hectares?
Yes. The calculator converts acres to hectares automatically before running all formulas, so mixed land records can still be compared consistently.
7) What is the annual damage value?
It adds carbon damage cost, erosion damage cost, and water regulation value loss. The total depends strongly on your chosen pricing assumptions.
8) When should I use custom values?
Use custom values when you have site-specific biomass, soil, hydrology, or biodiversity data. That usually produces stronger planning estimates than presets.