Correct LI-600 conductance¶

Apply the Rizzo & Bailey (2025) energy-balance correction to LI-600 porometer readings. See LI-600 porometry for why the correction is needed.

Inputs¶

An LI-600 CSV export. PhytKit finds the column-name row itself, below the instrument's category row, and skips the units row. It needs these columns: gsw, Tref, Tleaf, rh_r, rh_s, flow, P_atm and E_apparent.

Steps¶

Correct, with the sidedness that fits your leaves: 1 for stomata on one side, 2 for both sides.
```
pk li600 correct examples/li600.csv --sidedness 1
```
The summary gives the mean and largest overestimate, in percent, over readings that solved:
```
"summary": { "meanOverestimatePct": 8.637, "maxOverestimatePct": 14.787, "maxMeasuredGsw": 0.5856 }
```
Write the original file with the corrected columns added. Use this file for the next steps:
```
pk li600 correct examples/li600.csv --sidedness 1 --out li600_corrected.csv
```
li600_corrected.csv keeps every original row and column and adds gsw_corrected, E_corrected, T_in_corrected, Ta_chamb_corrected, T_out_corrected, W_chamb_corrected and stomatal_sidedness, with their units in the units row.

Optionally, look at individual readings with --rows, or print only the new columns with --format csv:

pk li600 correct examples/li600.csv --rows
pk li600 correct examples/li600.csv --format csv

The correction's overestimate grows with conductance. In the sample file it runs from about 2% at gsw 0.1 to about 15% near 0.5 mol m⁻² s⁻¹.

Next¶

Estimate A from porometry uses gsw_corrected automatically when the file has it.