

Mining Landscapes Ecological State Study at Deposits of Non-ferrous Metal Ores in the Regions of Siberia and the Far East
https://doi.org/10.18412/1816-0395-2022-1-42-47
Abstract
Results of vegetation ecosystem development in disturbed lands due to the opencast mining at shaft development in non-ferrous metals in the mining regions of Siberia and the Far East have been presented. According to OMS data, vegetation self-restoration rates of quarries, rock-disposal dumps due to the opencast mining of concerned deposits and in the storage surface of processed ore storages due to the back end have been identified. The necessity in rehabilitation of rockdisposal dumps to accelerate the vegetation development has been substantiated.
About the Authors
I.V. ZenkovRussian Federation
Dr. Sci. (Eng.), Leading Research Fellow
Trinh Le Hung
Viet Nam
Cand. Sci. (Eng.), Associate Professor
V.N. Vokin
Russian Federation
Cand. Sci. (Eng.), Professor
E.V. Kirushina
Russian Federation
Cand. Sci. (Eng.), Associate Professor
A.A. Latyntsev
Russian Federation
Cand. Sci. (Eng.), Associate Professor
P.M. Kondrashov
Russian Federation
Cand. Sci. (Eng.), Professor
P.L. Pavlova
Russian Federation
Cand. Sci. (Eng.), Associate Professor
V.N. Konov
Russian Federation
Cand. Sci. (Eng.), Associate Professor
A.S. Lunev
Russian Federation
Senior Lector
S.N. Skornyakova
Russian Federation
Senior Lector
Yu.A. Maglinets
Russian Federation
Cand. Sci. (Eng.), Professor
K.V. Raevich
Russian Federation
Cand. Sci. (Eng.), Associate Professor
References
1. Васильев М.П., Тронин А.А. Изменение антропогенной нагрузки на экосистемы регионов России в начале XXI в. с использованием данных дистанционного зондирования. Современные проблемы дистанционного зондирования Земли из космоса. 2021. Т. 18. № 1. С. 95—102.
2. Коник А.А., Зимин А.В., Атаджанова О.А., Педченко А.П. Оценка изменчивости характеристик Стоковой фронтальной зоны Карского моря на основе комплексирования данных спутникового дистанционного зондирования. Современные проблемы дистанционного зондирования Земли из космоса. 2021. Т. 18. № 2. С. 241—250.
3. Плотников Д.Е., Колбудаев П.А., Барталев С.А., Лупян Е.А. Автоматическое распознавание используемых пахотных земель на основе сезонных временных серий восстановленных изображений Landsat. Современные проблемы дистанционного зондирования Земли из космоса. 2018, Т. 15. № 2. С. 112—127.
4. Zenkov I.V., Nefedov B.N., Zayats V.V., Kiryushina E.V. Remote monitoring of mining situation and disturbed land ecology at the Teisk and Abagas iron ore deposits. Eurasian mining. 2018. No 1. P. 41—44.
5. Zenkov I.V., Vokin V.N., Kiryushina E.V., Raevich K.V. Remote monitoring data on opencast mining and disturbed land ecology in the Bakal iron ore field. Eurasian mining. 2018. No 2. P. 29—33.
6. Tim R. Hofmeester, Sherry Young, Sonya Juthberg, Navinder J. Singh, Fredrik Widemo, Henrik Andren, John D.C. Linnell, Joris P.G.M. Cromsigt. Using by‐catch data from wildlife surveys to quantify climatic parameters and timing of phenology for plants and animals using camera traps. Remote Sensing in Ecology and Conservation. 2020. Vol. 6. Iss. 2. Р. 129—140.
7. Erlandsson R., Stoessel M., Skanes H., Wennbom M., Angerbjorn A. An innovative use of orthophotos — possibilities to assess plant productivity from colour infrared aerial orthophotos. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 4. Р. 291—301.
8. Hislop S., Jones S., Soto‐Berelov M., Skidmore A., Haywood A., Trung H. Nguyen. High fire disturbance in forests leads to longer recovery, but varies by forest typ. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 4. Р. 376—388.
9. Pina‐Covarrubias E.,Hill A.P., Prince P., Snaddon J.L., Rogers A., Doncaster C.P. Optimization of sensor deployment for acoustic detection and localization in terrestrial environments. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 2. Р. 180—192.
10. Attanayake A.U., Xu D., Guo X., Lamb E.G. Long‐term sand dune spatio‐temporal dynamics and endemic plant habitat extent in the Athabasca sand dunes of northern Saskatchewan. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 1. Р. 70—86.
11. https://www.google.com/earth.
12. https://earthexplorer.usgs.gov.
Review
For citations:
Zenkov I., Le Hung T., Vokin V., Kirushina E., Latyntsev A., Kondrashov P., Pavlova P., Konov V., Lunev A., Skornyakova S., Maglinets Yu., Raevich K. Mining Landscapes Ecological State Study at Deposits of Non-ferrous Metal Ores in the Regions of Siberia and the Far East. Ecology and Industry of Russia. 2022;26(1):42-47. (In Russ.) https://doi.org/10.18412/1816-0395-2022-1-42-47