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RESEARCH OF THE MOST BASIN LOCALITIES OPTIMUM RESTORATION METHODOLOGY BASED ON COMPARISON OF LONG TERM SURVEY OF THE AREAS WITH A DIFFERENT HISTORY OF RESTORATION AND NATURAL SUCCESSION AREAS

Michal Rehor, PhD, Lukas Zizka, Vaclav Novak, Pavel Schmidt

First published: 2017-06-20https://doi.org/10.5593/sgem2017/32/s13.059View metrics

Abstract

The solving of the project of the Ministry of Agriculture of the Czech Republic dedicated to sustainable agricultural management in the North Western Bohemia is under way from 2015 to 2018. The Brown Coal Research Institute is the main participant of the project. This article briefly summarises new results of the research of the Most Basin localities restoration problems. The main attention is devoted to the research of experimental areas founded in different dump localities with different dump rocks and different application of fertilisable rocks. The research is based on a comparison of long term survey of the areas with a different history of restoration and natural succession areas in the Most Basin. We prefer the localities with a long history of research. The result of pedological survey, biological survey and survey of pollutants is the recommendation of the restoration method for every dump location including expected succession areas according to its soil properties and restoration target after detail mapping.

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Publication details

Title
RESEARCH OF THE MOST BASIN LOCALITIES OPTIMUM RESTORATION METHODOLOGY BASED ON COMPARISON OF LONG TERM SURVEY OF THE AREAS WITH A DIFFERENT HISTORY OF RESTORATION AND NATURAL SUCCESSION AREAS
Authors
Michal Rehor, PhD, Lukas Zizka, Vaclav Novak, Pavel Schmidt
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2017
Pages
453-460
SWS Citekey
Rehor201713453460
ISSN
1314-2704
ISBN
978-619-7408-05-8
Language
en
Publication type
Conference Paper
Keywords
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