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.