GIS-Based approaches to the assessment of the state of terrestrial ecosystems in the Norilsk Industrial Region
Abstract
The degree of vegetation disturbance is assessed using the ENVISAT MERIS multispectral satellite sensor. The temporal dynamics of the terrestrial ecosystems is analyzed using SPOT VEGETATION multitemporal satellite data. Spatial regression models are developed for approximating the exceedances of background concentration levels of heavy metals and sulfur in various components of terrestrial ecosystems. Degrees of vegetation disturbance and territory pollution are evaluated using a scoring system. Territorial zoning by the degree of vegetation disturbance is carried out. All the procedures have been conducted based on ground surveys of key sites of ground pollution (2001–2004) of the Norilsk Industrial Region and remote sensing data (1998–2004).
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Since the onset of Eurasia's heavy industrialisation in the 1930s, pollution from the Norilsk mining complex has destroyed vast areas of pristine taiga and tundra habitats on the Taimyr Peninsula.
“Since the onset of Eurasia's heavy industrialisation in the 1930s, pollution from the Norilsk mining complex (Kharuk et al. 1996) has destroyed vast areas of pristine taiga and tundra habitats on the Taimyr Peninsula (Bauduin et al ., 2014; Korets et al ., 2014).”
From Ecological and conceptual consequences of Arctic pollution (2020) · cites this paper as Korets et al ., 2014
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References 8 · Cited by 10
- Authors
- Korets, M. A., Ryzhkova, V. A., & Danilova, I. V.
- Affiliations
- Russian Academy of Sciences (RU)
- Venue
- Contemporary Problems of Ecology
- Publisher
- Pleiades Publishing Ltd
- Published
- 2014-11
- Volume
- 7
- Issue
- 6
- Pages
- 643-653
- ISSN
- 1995-4255 (ISSN-L)
- 1995-4263
- OpenAlex
- W2081293234
- Cited by
- 10
- References
- 8
- Citations by year
- 2023: 2 · 2022: 2 · 2021: 3 · 2020: 1 · 2018: 1 · 2016: 1
- FWCI
- 0.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Contemporary Problems of Ecology (publishedVersion)
- Funders
- Siberian Branch, Russian Academy of Sciences
- Topics
- Physical Sciences › Environmental Science › Ecology › Environmental Quality and Pollution
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Remote Sensing and Land Use
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- terrestrial ecosystems, vegetation disturbance, heavy metal contamination, sulfur pollution, environmental monitoring, vegetation indices, land use zoning, spatial regression, industrial pollution
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