Process-based models simulate the ecophysiological processes that govern the dynamics of forest ecosystems to predict tree and stand productivity.
These results should contribute to the development of silviculture prescriptions that aim to maintain both stand productivity and biological legacies.
Differences in soil properties and stand productivity between traffic levels, with and without site preparation, were negligible suggesting natural soil recovery mechanisms were mitigated effects of wet site harvesting over 25 years.
Mixing different tree species in forest plantations might increase stand productivity and resilience compared to monocultures, but mixing effects in the early stage of mixed forest plantations are still poorly understood.
Our findings indicate that a higher structural complexity and stand productivity might be achieved in managed stands by a wider variety of crown size classes and tree species assemblages.
This study indicates that bedding may be the most efficient management practice to enhance long term stand productivity for loblolly pine on aeration-limited sites by increasing seedling survival.
Stand productivity was mainly enhanced by, and so, is positively correlated with the amount of precipitation.
Stand productivity can also be negatively or positively correlated with stand density (Uhl et al. 2015).
Tree size heterogeneity did not have a stronger positive effect on stand productivity than did tree species richness (QI), which was found to influence stand productivity, as well as tree size heterogeneity, in both the German and US inventory plots.
Sources of information used for predicting Hm included stand age and spatial information describing environmental variables and stand productivity.
For more than 10 species the relationship between species richness and stand productivity was found to be negative (Fig. 3g).
