Abstract

The need for landscape management cannot be satisfied by static data alone. Landscape ecosystems are complex dynamic objects and the successful protection or operation of such areas depends on the quality of monitoring their dynamics and the forecasts built on its basis. Forecasting accuracy also depends on the quality of the modelling and this is why it is necessary to highlight the most universal and key characteristics of ecosystems. The Slovechansko-Ovruchsky ridge, which has a phenomenally high variety of landscapes, is well suited as an object for testing approaches to modelling. The authors singled out 11 territorial parts of the Slovechansko-Ovruchsky ridge at the level of landscapes and tracts. The differentiation of these landscapes was assessed using the synphytoindication method to determine the value of natural and anthropogenic dynamics. This made it possible to build prognostic algorithms for ecosystem changes using geobotanical data and produce prospects to create the best suitable landscape protection strategy or more effective and safe exploitation of landscapes.

Highlights

  • Modern natural resource management requires perfect and large-scale monitoring of ecosystems

  • Allogeneic successions require external influence. This is anthropogenic dynamics if the allogeneic succession is caused by human activity

  • The Slovechansko-Ovruchsky ridge was selected as a model region for study as it possesses a high variety of landscape ecosystems, in stark contrast to its surroundings (Khomiak, 2006)

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Summary

Introduction

Modern natural resource management requires perfect and large-scale monitoring of ecosystems. The requirements for monitoring are its consistency, regularity and forecasting regarding the future of the objects under study (Didukh, 2008) Fulfillment of these requirements is impossible without characterizing the dynamic processes that occur in ecosystems (Margalef, 1994). According to the Monocentric Ecosystem Model, vegetation is the best indicator of environmental characteristics (Didukh, 2005) This allows us to assume that the territorial differentiation of landscapes at the level of geobotanical tracts will be sufficient to distinguish landscapes with different levels of natural and anthropogenic dynamics (Sochava, 1968). The processes of anthropogenic transformation should be the central object of environmental monitoring in this area This region has complex socio-economic problems and the cause of these is the distance from industrial centers and a poorly-developed transport infrastructure. Local communities can overcome socio-economic difficulties if they control the level of anthropogenic transformation of ecosystems

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