Erland G. Kolomyts – författare

This groundbreaking book presents an innovative predictive concept in geographical ecology that reveals local mechanisms of global environmental changes. Through an empirically established display of background bioclimatic trends using catenary biogeocoenotic systems, the work explores regional structures of localized natural zonality. The landscape–ecological forecast methodology employs ecological niches of studied objects, with spatial coordinates transformed into time coordinates according to the fundamental properties of environmental ergodicity, creating a powerful framework for predicting geo‑ecosystem restructuring.

The research offers significant advancements in ecological modeling through its application of discrete mathematics for processing extensive empirical data from field and laboratory landscape studies. By incorporating specific examples and empirical simulation techniques, this work provides environmental scientists with formalized tools for analysis and prediction that can be applied to real‑world ecological challenges. 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 environmental conservation, ecological modeling and forecasting, and ecological planning in forestry and agriculture. Additionally, as it draws from the Russian school of landscape science – an approach not widely familiar to many Western European and American researchers – this 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.

This groundbreaking book presents an innovative predictive concept in geographical ecology that reveals local mechanisms of global environmental changes. Through an empirically established display of background bioclimatic trends using catenary biogeocoenotic systems, the work explores regional structures of localized natural zonality. The landscape–ecological forecast methodology employs ecological niches of studied objects, with spatial coordinates transformed into time coordinates according to the fundamental properties of environmental ergodicity, creating a powerful framework for predicting geo‑ecosystem restructuring.

The research offers significant advancements in ecological modeling through its application of discrete mathematics for processing extensive empirical data from field and laboratory landscape studies. By incorporating specific examples and empirical simulation techniques, this work provides environmental scientists with formalized tools for analysis and prediction that can be applied to real‑world ecological challenges. 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 environmental conservation, ecological modeling and forecasting, and ecological planning in forestry and agriculture. Additionally, as it draws from the Russian school of landscape science – an approach not widely familiar to many Western European and American researchers – this 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.

The author''s working concept of geo-ecological monitoring is presented. For the first time, the full triad of monitoring in its classical definition is considered: "observation (state assessment) – control (prediction) – management (adaptation, feedback, regulation)". The strategic goal of described monitoring research is to reveal the environmental otential of sustainablility of forest ecosystems in the context of modern global warming. The monograph  expounds the main statements of author’s topo-ecological predictive concept: “Global Changes on the Local Level”, as a basis of ground  bio-ecological and geosystem monitoring of natural ecosystems under global anthropogenic climatic changes. This concept makes it possible to carry out local empirical simulation of the regional bioclimatic trend and thereby reveal the mechanisms of  transmission of  global and  regional climate  signals  to the local level.

On the example of the Volga River basin, predictive empirical-statistical models of the carbon balance of forest ecosytems are presented under conditions of a changing climate. The carbon content in various pools of boreal and nemoral forests were calculated. The global climate models give prognostic estimates of the components of them carbon balance. A quantitative assessment of the ecological resources of forest formations that provide the environment sustainability through mechanisms of regulation of the carbon cycle is given. The adaptation of forest ecosystems to climate change is described through the calculated parameters of their functional sustainability.