The main goal of the forest ecosystems' modelling is to develop such approaches that can merge the general nature of processing models with the precision and predictive power of the empirical models. The long-term prediction of forest growth plays the significant role in a legal forest management. Some attempts to develop the prototype systems for data analysis and decision-making at forest enterprise level are implemented. However, this complicated scope requires the coordinated efforts of biologists, mathematicians, and programmers. The current situation is that the good biological and rendering models exist separately. In future, the generalized modelling ought to combine the influence of soil resources, also atmospheric, meteorological, and human impacts on the forest life-cycle with the realistic modelling and rendering of large-scale forests in the short-term and long-term frameworks.
Favorskaya, M. N., & Jain, L. C. (2017). Handbook on Advances in Remote Sensing and Geographic Information Systems. Intelligent Systems Reference Library (Vol. 122, pp. 397–415). Springer International Publishing. Retrieved from http://link.springer.com/10.1007/978-3-319-52308-8