2.6 | PRELES model
We used the PRELES model to derive GPPPRELES for 2012 and 2013. The model was first parameterised using a Bayesian approach (e.g. Minunno et al., 2016; Tian et al., 2020) for Rosinedal with EC data available from 2014 to 2017 (Jocher et al., 2017). The model was run with environmental data measured on site (temperature, VPD, PPFD, and precipitation) in 2012 and 2013. Canopy leaf area index (LAI) was estimated in 2011 - 2013 (Lim et al., 2015), excluding understorey vegetation. The model predicts GPP at the stand level (Peltoniemi et al. , 2015) and thus provides our best estimate of the year when the phloem samples were collected. We implemented PRELES with the daily mean of these data to get an estimation of GPPPRELES in both R and F stands. It provided a comparison against our GPP calculations for 2012 and 2013.