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Restoring Natural Forests as the Most Efficient Way to Water Quality and Abundance: Case Study from Želivka River Basin

Authors: Josef Seják; Ivo Machar; Jan Pokorný; Karl Seeley; Jitka Elznicová;

Restoring Natural Forests as the Most Efficient Way to Water Quality and Abundance: Case Study from Želivka River Basin

Abstract

This article shows how to restore Central European natural capital effectively. Water in the landscape is primarily sustained by vegetation and soil, most effectively by natural forests and only secondarily by artificial reservoirs. The authors document these facts using a case study from the Želivka River basin (Švihov reservoir), which collects surface water for the metropolitan region of Prague and Central Bohemia. With the Energy-Water-Vegetation Method, the authors demonstrate that the cultural human-changed landscape of the Želivka river basin is able to utilize only about 60% of its solar energy potential. In 1.5% of the territory of the Czech Republic, society annually loses supporting ecosystem services at a level higher than 25% of the annual GDP of the CR 2015. Water retention in the landscape needs to be re-evaluated and addressed in accordance with the thermodynamic principles of life and ecosystem functioning in the biosphere. It is necessary to begin restoring the most efficient natural capital in the landscapes and to return the broad-leaved deciduous forests by intelligent forestation methods to the cultural landscape to the extent justified; this is especially true of the Želivka River basin, which is Czechia’s biggest surface drinking-water collecting area.

Keywords

Environmental effects of industries and plants, Energy-Water-Vegetation Method, drinking water, TJ807-830, natural forests, TD194-195, Renewable energy sources, Environmental sciences, GE1-350, ecosystem services

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold