Ecological risks of a steppe nature management: detection, classification and ways to overcome them (on the example of the Orenburg region)
The aim of the study is to reveal and classify ecological risks for steppe nature management as well as to suggest the ways to overcome them. The following methods were used: historical, cartographical, logic and field landscape researches, Earth Sensing data, the author's method of an expert e...
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2020-01-01
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/36/e3sconf_idsisa2020_03018.pdf |
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doaj-b00c5f3fa3d143a0a6a9814fc3e42a5b2021-04-02T09:55:27ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011760301810.1051/e3sconf/202017603018e3sconf_idsisa2020_03018Ecological risks of a steppe nature management: detection, classification and ways to overcome them (on the example of the Orenburg region)Chibilev AlexandrLevykin SergeyYakovlev IlyaKazachkov GrigoriyThe aim of the study is to reveal and classify ecological risks for steppe nature management as well as to suggest the ways to overcome them. The following methods were used: historical, cartographical, logic and field landscape researches, Earth Sensing data, the author's method of an expert ecological-economical assessment of steppe etalons and secondary steppes. The main ecological risks making influence on the condition of steppe land and biological resources are detected and classified for an agrarian and industrially developed steppe region. The conception of an “antiecological” framework is developed. The system of the most substantial risks is highlighted, recommendations to minimize these risks are offered.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/36/e3sconf_idsisa2020_03018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chibilev Alexandr Levykin Sergey Yakovlev Ilya Kazachkov Grigoriy |
spellingShingle |
Chibilev Alexandr Levykin Sergey Yakovlev Ilya Kazachkov Grigoriy Ecological risks of a steppe nature management: detection, classification and ways to overcome them (on the example of the Orenburg region) E3S Web of Conferences |
author_facet |
Chibilev Alexandr Levykin Sergey Yakovlev Ilya Kazachkov Grigoriy |
author_sort |
Chibilev Alexandr |
title |
Ecological risks of a steppe nature management: detection, classification and ways to overcome them (on the example of the Orenburg region) |
title_short |
Ecological risks of a steppe nature management: detection, classification and ways to overcome them (on the example of the Orenburg region) |
title_full |
Ecological risks of a steppe nature management: detection, classification and ways to overcome them (on the example of the Orenburg region) |
title_fullStr |
Ecological risks of a steppe nature management: detection, classification and ways to overcome them (on the example of the Orenburg region) |
title_full_unstemmed |
Ecological risks of a steppe nature management: detection, classification and ways to overcome them (on the example of the Orenburg region) |
title_sort |
ecological risks of a steppe nature management: detection, classification and ways to overcome them (on the example of the orenburg region) |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
The aim of the study is to reveal and classify ecological risks for steppe nature management as well as to suggest the ways to overcome them. The following methods were used: historical, cartographical, logic and field landscape researches, Earth Sensing data, the author's method of an expert ecological-economical assessment of steppe etalons and secondary steppes. The main ecological risks making influence on the condition of steppe land and biological resources are detected and classified for an agrarian and industrially developed steppe region. The conception of an “antiecological” framework is developed. The system of the most substantial risks is highlighted, recommendations to minimize these risks are offered. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/36/e3sconf_idsisa2020_03018.pdf |
work_keys_str_mv |
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1724168360503017472 |