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Forest Mean Annual Increment Calculator

Find the average annual volume growth of a forest stand from its volume and age.

Inputs

Results

Mean annual increment5m³/ha/year

Chart

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How to use the forest mean annual increment calculator

Find the average annual volume growth of a forest stand from its volume and age. Enter stand volume, stand age in the fields above; the mean annual increment is computed instantly and plotted on the chart so you can see how the answer changes.

Common searches this calculator answers include “mean annual increment”, “forest growth rate”, “timber growth per year”, “calculate forest mean annual increment”, “find mean annual increment”.

Formula

Mean annual increment (m³/ha/year) = V / age

Variables

  • V — Stand volume (m³/ha)
  • age — Stand age (years)

Worked example

With stand volume = 250 m³/ha, stand age = 50 years, the calculator gives mean annual increment ≈ 5 m³/ha/year.

Frequently asked questions

What is the forest mean annual increment calculator used for?

Find the average annual volume growth of a forest stand from its volume and age. It helps with questions such as “mean annual increment”, “forest growth rate”, “timber growth per year”.

What is the formula for the forest mean annual increment calculation?

Mean annual increment (m³/ha/year) = V / age. Here V is stand volume (m³/ha), age is stand age (years).

What inputs do I need for the forest mean annual increment calculator?

You need stand volume in m³/ha, stand age in years. 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 forest mean annual increment 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 forest mean annual increment 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.

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