How to use the net primary productivity calculator
Find the net primary productivity of plants from gross productivity and plant respiration. Enter gross primary productivity, plant respiration in the fields above; the net primary productivity, carbon use efficiency are computed instantly and plotted on the chart so you can see how the answer changes.
Common searches this calculator answers include “net primary productivity”, “NPP from GPP”, “plant carbon use efficiency”, “calculate net primary productivity”, “find net primary productivity”.
Formula
Variables
- GPP — Gross primary productivity (g/m²/year)
- R — Plant respiration (g/m²/year)
Worked example
With gross primary productivity = 1200 g/m²/year, plant respiration = 600 g/m²/year, the calculator gives net primary productivity ≈ 600 g/m²/year; carbon use efficiency ≈ 50 %.
Frequently asked questions
What is the net primary productivity calculator used for?
Find the net primary productivity of plants from gross productivity and plant respiration. It helps with questions such as “net primary productivity”, “NPP from GPP”, “plant carbon use efficiency”.
What is the formula for the net primary productivity calculation?
Net primary productivity (g/m²/year) = GPP-R. Carbon use efficiency (%) = (GPP-R) / GPP × 100. Here GPP is gross primary productivity (g/m²/year), R is plant respiration (g/m²/year).
What inputs do I need for the net primary productivity calculator?
You need gross primary productivity in g/m²/year, plant respiration in g/m²/year. 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 net primary productivity 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 net primary productivity 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.