This groundbreaking book presents an innovative predictive concept in geographical ecology that reveals local and regional mechanisms of global environmental changes. This work provides environmental scientists with formalized tools for analysis and prediction that can be applied to real-world ecological challenges. Ecological modeling through the application of discrete mathematics for processing extensive empirical data from field and laboratory landscape studies. Empirical simulation of forecasts is implemented as a reproduction of predicted scenarios of biogeocoenotic systems according to the laws of their basic spatial organization, with the fundamental properties of ergodicity of the natural environment. The methodology presented transforms geographical ecology into a more precise and quantifiable discipline capable of addressing complex environmental dynamics. This monograph is primarily intended for specialists in ecological modeling and forecasting, and ecological planning in forestry. Additionally, as it draws from the Russian school of landscape science--an approach not widely familiar to many Western European and American researchers--the book offers valuable theoretical and methodological insights for both landscape scientists and ecologists across various specializations. Researchers seeking innovative approaches to understanding environmental change will find this work particularly valuable for its unique perspective and practical applications.