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.

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 monograph presents the results of studies of the organization of terrestrial geo (eco-) systems in the Pacific mobile belt - the tectonically and climatically active zone of contact between the mainland and the ocean, creating new land areas. A detailed evolutionary landscape-ecological concept based on a discrete empirical-statistical modeling of forest natural complexes at various stages of the geological history of the formation of the continental biosphere in the Northwest Pacific is presented. Based on the materials of large-scale landscape surveys conducted at experimental ranges, three spatiotemporal sections are described with a common trajectory of subaerial landscape genesis: 1) neo-specific, progressive - the stage of nucleation and upward evolution of volcanogenic island-arc geosystems of the Neogene-Quaternary age in the ocean environment, with the formation at the local level of the beginnings of zonal types of geographical environment and with the emergence of “climate unjustified” highly productive forests due to geothermal th power of active volcanoes; 2) subpacific marginal continental - the stage of their subsequent continental development as a young (Mesozoic) mountain-valley morphostructure, with the formation of buffer forest communities of evolutionary menopause; 3) subpacific regressive - the final stage of decaying evolution, due to the fragmentation and sinking of the marginal parts of the material, with the advent of continental islands with a “decrepit” denudation relief, active exogenous morpholithogenesis and a simplified structure of the forest cover. The climatic-genetic mechanisms of evolutionary landscape-ecological processes in various sectors of the Pacific megaecoton are described using simulation of these processes according to landscape forecasts for the next 100-200 years. According to the stability parameters of forest communities, chronological regularities of climatogenic phytocenotic transformations in the island-arc and marginal continental landscapes are revealed.

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.