Regional Height Growth Models for Scots Pine in Poland
Abstract Background: Site productivity remains a fundamental concern in forestry as a significant driver of resource availability. The site index (SI) reflects the overall impact of all environmental parameters that determine tree height growth and is the most commonly used indirect proxy for forest site productivity estimated using stand age and height. One of the most critical challenges in the site index (SI) concept are local variations in climate, soil, and genotype-environmental interactions that lead to variable height growth patterns among ecoregions and cause inappropriate estimation of site productivity. Developing regional models can solve this problem and allow us to determine forest growth and SI appropriately.Results: Therefore, the purpose of this study was to develop regional height growth models (RMs) for the Scots pine in Poland. For height growth modelling, we used the growth trajectory data of 855 sample trees, representing the entire range of geographic locations and site conditions of the Scots pine in Poland. Collected growth trajectories were used for the development of the global height growth model (GM) for Poland and RMs for six natural forest regions, which were adopted as the spatial unit for the model regionalisation. Height prediction errors by the global model were found to be significantly larger than those obtained with regional models in all regions. The results showed significant differences between growth trajectories in natural forest regions I, II, and III located in northern Poland compared to stands in natural forest regions IV, V, and VI in southern Poland.Conclusions: The presented study showed differences in height growth patterns of Scots pines in Poland and revealed that the use of local models could improve the growth prediction and quality of the SI estimation. Developed RMs show better fit statistics and predictive validity than the GM developed for the countrywide scale. Differences in climate and soil conditions which distinguish natural forest regions affect height growth patterns of Scots pine. Therefore, extending this research to models which directly describe the interactions of height growth with site variables, such as climate, soil properties, and topography, can provide additional valuable forest management information.