GPP Prediction
A Python package for predicting gross primary production (GPP) in ecological systems.
Installation
pip install gpp-prediction
Features
- Convert solar radiation to photosynthetically active radiation (PAR)
- Calculate GPP using environmental parameters
- Handle various input formats (single values, arrays, pandas Series)
Usage
import pandas as pd
import numpy as np
from gpp_prediction import swrad2par, calc_gpp
# Convert solar radiation to PAR
swrad = 0.5 # kW m^-2
par = swrad2par(swrad) # kJ m^-2 day^-1
# Sample data
data = {
'swrad': [0.4, 0.5, 0.6],
'fapar': [0.6, 0.7, 0.8],
'tmin': [5, 8, 10],
'vpd': [0.5, 1.0, 1.5]
}
df = pd.DataFrame(data)
# Calculate PAR from solar radiation
df['par'] = swrad2par(df['swrad'])
# Model parameters
params = {
'eps_max': 2.5,
'tmin_min': 0,
'tmin_max': 12,
'vpd_min': 0.2,
'vpd_max': 2.0
}
# Calculate GPP
df['gpp'] = calc_gpp(
df['par'],
df['fapar'],
df['tmin'],
df['vpd'],
**params
)
print(df)
License
This project is licensed under the MIT License
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