The mass balance model estimates were fairly close to the observed data.
The random effects and the fixed effects model estimates were close.
The multiscale model estimates were linearly related to the experimental results (p < 0.0001).
The model estimates were compared to the observed variability in extant microbial communities in seafloor hydrothermal environments.
Model estimates were most sensitive to biased summer survival, winter survival, and productivity rates of adult females.
Model estimates were compared with transient salinity breakthroughs and steady-state salinities of water extracted from pumping wells in the sand tanks.
On the Birim tributary, the model estimates were 3.04 m3/s upstream and 35.35 m3/s downstream as against 3.7 and 43.4 m3/s that were measured for Bunso and Akim Oda stations, respectively.
The model estimates were 3.53 and 9.7 m3/s for Konongo and Anwia-Nkwanta on the Oda tributary as against the 4.3 and 8.5 m3/s that were measured, respectively.
The spin-up model estimates were compared with Forest Inventory Analysis (FIA) plot-level C stocks by age class obtained from "The Carbon Online Estimator" known as COLE [61].
On the Pra main River, the model estimates were 88.1 m3/s upstream and 153 m3/s downstream as against 83.6 and 179.05 m3/s that were measured for Assin-Praso and Twifu Praso stations, respectively.
Monoterpene (and possibly oxygenated terpene and sesquiterpene) emissions may be more comparable, as annual forest terpene emission model estimates were 3 8 times greater than those from the Mojave Desert, and were within a factor of 2 for peak summertime fluxes.
