How to use the canopy light penetration calculator
Estimate how much light reaches the forest floor through a leaf canopy. Enter light above canopy, canopy extinction coefficient, leaf area index in the fields above; the light reaching forest floor, light transmitted are computed instantly and plotted on the chart so you can see how the answer changes.
Common searches this calculator answers include “light under canopy”, “forest floor light”, “Beer law canopy light”, “calculate canopy light penetration”, “find light reaching forest floor”.
Formula
Variables
- I0 — Light above canopy (µmol/m²/s)
- k — Canopy extinction coefficient
- LAI — Leaf area index (m²/m²)
Worked example
With light above canopy = 2000 µmol/m²/s, canopy extinction coefficient = 0.5, leaf area index = 3 m²/m², the calculator gives light reaching forest floor ≈ 446.2603 µmol/m²/s; light transmitted ≈ 22.31302 %.
Frequently asked questions
What is the canopy light penetration calculator used for?
Estimate how much light reaches the forest floor through a leaf canopy. It helps with questions such as “light under canopy”, “forest floor light”, “Beer law canopy light”.
What is the formula for the canopy light penetration calculation?
Light reaching forest floor (µmol/m²/s) = I0 × exp(-k × LAI). Light transmitted (%) = 100 × exp(-k × LAI). Here I0 is light above canopy (µmol/m²/s), k is canopy extinction coefficient, LAI is leaf area index (m²/m²).
What inputs do I need for the canopy light penetration calculator?
You need light above canopy in µmol/m²/s, canopy extinction coefficient, leaf area index in m²/m². Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.
How do I use the canopy light penetration calculator?
Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.
Is the canopy light penetration result exact?
Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.