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    Boreal Forests Under Global Warming: Empirical Simulation Predictive Modeling

    Boreal Forests Under Global Warming by Kolomyts, Erland G.;

    Empirical Simulation Predictive Modeling

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 130.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        58 695 Ft (55 900 Ft + 5% VAT)
      • Discount 20% (cc. 11 739 Ft off)
      • Discounted price 46 956 Ft (44 720 Ft + 5% VAT)
      • Discount is valid until: 30 June 2026

    52 826 Ft

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    Short description:

    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. 

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    Long description:

    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.

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    Table of Contents:

    1. Empirical Simulation Base and Predictive Modeling in Geographical Ecology: Framework Concept 2. Landscape–Ecological Strategy for Ground Geo‑Ecological Monitoring of the Forests 3. Boreal Ecotone and Geography Zonality 4. Methods of Local and Regional Landscape–Ecological Modeling 5. Regional and Local Geosystems as the Objects of Predictive Research 6. Landscape–Geophysical Foundations of Empirical-Simulation Predictive Modeling 7. Empirical Simulation of Climate‑Genic Changes in Biological Cycle 8. Peculiarity of Landscape–Ecological Forecasting 9. Empirical-Simulation Predictive Modeling of Forest Ecosystems 10. Regional Landscape–Ecological Prognoses 11. Cartographic Models of Regional Landscape–Ecological Forecasting 12. Local Landscape–Ecological Prognoses 13. Phytocoenotic and Soil Signs of Current Global Warming 14. Mechanisms of Stability of Forest Ecosystems 15. Role of Boreal Forests in Regulation of the Carbon Cycle and Mitigation of Present Global Warming 16. Empirical Simulation of Changes in Productivity and Carbon Stock in Forest Ecosystems under Climate Variations 17. Brief Account of Predictive Landscape–Ecological Conception Using Empirical Simulation Models

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