Monitoring vegetation changes in Pasvik (Norway) and Pechenga in Kola Peninsula (Russia) using multitemporal Landsat MSS/TM data

https://doi.org/10.1016/S0034-4257(03)00014-2Get rights and content

Abstract

During the period 1973–1999, the effects of air pollution on the terrestrial ecosystems in the border areas of Norway and Russia have been investigated by the use of satellite remote sensing. Landsat Multispectral Scanner (MSS) and Thematic Mapper (TM) data, in combination with field work data collected in the period 1970–2000, were applied to produce land cover maps for seven different years, with an overall accuracy of 75–83%. On the basis of this monitoring, we can conclude that the main effect of air pollution was that the areas of lichen (Cladina spp.)-dominated forests and mountain heaths were reduced from 37% in 1973 to 10% in 1994, followed by a slight increase to 12% in 1999. The lichen-dominated vegetation types were changed into barrens, partly damaged vegetation entities, and dwarf shrub (e.g., Vaccinium myrtillus)-dominated vegetation. We found a significant negative relationship (r=−0.94, p=0.001) between the extent of the area of mixed forests with lichen content and the emissions of SO2 during the period. The area of the category industrial barrens had a significant negative relationship (r=−0.95, p=0.001) to the emissions of SO2 during the same period.

Section snippets

Vegetation damage in the study area caused by SO2 emissions

Over the last decade, the large smelting and copper (Cu)–nickel (Ni)-producing factories (companies) at Nikel and Monchegorsk in the western part of Kola Peninsula, Northwest Russia (Fig. 1), have attracted increasing media coverage, criticism, and pressure from environmentalists, particularly in Norway and Finland. The impact on the arctic environment of wind-borne pollutants from the Cu–Ni smelters is manifested in several forms, not least in regard to human health. The arctic ecosystems are

Study area

The study area is located in the northernmost part of Norway close to the Russian border. The area includes parts of the Enare district in Finland and parts of the Pechenga district in Russia. The study area is outlined in Fig. 1 and covers approximately 7100 km2. Within this area, the Pechenganikel in Nikel was established in 1933. Emissions reached a level of 100 thousand tons of sulphur dioxide (SO2) at the highest during the first 30 years of production. The emissions from this processing

Air pollution data and SO2 dispersion maps

The Norwegian Air Research Institute Bekkestad et al., 1995, Hagen et al., 2000 provided different maps showing the concentrations of SO2 in the ground air layer that is used as a background material in the analysis of the data. The estimated average SO2 concentrations in the ground air layer (μg/m3) in summer seasons of 1975 and 1998 are illustrated in Fig. 3 Bekkestad et al., 1995, Hagen et al., 2000. Wind measurements from the summer (April to September) of 1994 show that the prevailing wind

Vegetation and land cover maps of 1973–1999 based on MSS/TM data

Approximately 7100 km2 of the Pasvik–Nikel area is covered by the vegetation and land cover maps based on MSS and TM data. The results from the field work, classification, and interpretation of Landsat MSS and TM data are presented in Table 2, Table 3, Table 4. The vegetation and land cover maps are shown in Fig. 4a–c. The accuracy assessments of the Landsat MSS and TM data-based maps in relation to the ground truth were performed by in situ controls of four transects within the study area, as

Assessment of results and methods

Pitblado and Amiro (1982) showed that use of vegetation indices gave the most satisfactory results concerning mapping and monitoring of vegetation damage around nickel smelters. Rees and Williams (1997) stated that remote sensing is best to monitor changes in species composition rather than changing biomass values. Our results show that the use of the hybrid classification gave satisfactory results concerning vegetation cover changes, including lichen-dominated vegetation formations. The cover

Conclusions

The main change observed during the period 1973–1999 was that the area with lichen-dominated vegetation (both heaths and forests) had decreased from 37% of the investigated area in 1973 to 12% in 1999. The lichen heaths and the lichen forests, especially, situated in the higher altitudes and in areas exposed towards Nikel and Zapolyarnij suffered during the period 1973–1999. The lichen cover in these areas/types is often removed, and bare soils, gravels, and bare rocks have been exposed. Lichen

Acknowledgements

The work on this article has benefited from financial support from a 3-year fellowship funded by the Norwegian Research Council, and by funding from The Joint Norwegian–Russian Environmental Commission and Barents E4-INTERREG11 Program.

References (62)

  • Anonymous (1993). Convention on long-range transboundary air pollution. Draft manual on critical levels and loads for...
  • Bekkestad, T., Knudsen, S., Johnsrud, M., & Larsen, M. (1995). Modellberegninger av SO2 og metallavsetning i...
  • D.J. Booth et al.

    A comparison of classification algorithms in terms of speed and accuracy after application of a post-classification modal filter

    International Journal of Remote Sensing

    (1989)
  • A. Colpaert et al.

    Remote sensing, a tool for reindeer range land management

    Polar Record

    (1995)
  • J.J. Craighead et al.

    A definitive system for analysis of grizzly bear habitat and other wilderness resources. Monograph no. 1

    (1982)
  • J.J. Craighead et al.

    Mapping arctic vegetation in northwest Alaska using Landsat MSS imagery

    National Geographic Research

    (1988)
  • N.M. Deyeva et al.

    The state of the bilberry in polluted and unpolluted forests of the Kola Peninsula

  • R.O. Duda et al.

    Pattern classification and scene analysis

    (1973)
  • R. Elven

    Johannes Lid and Dagny Tande Lid: Norsk Flora

    (1994)
  • B. Freedman et al.

    Long-term effects of smelter pollution at Sudbury, Ontario, on forest community composition

    Canadian Journal of Botany

    (1980)
  • E. Fremstad

    Vegetasjonstyper i Norge

  • E. Gaare et al.
  • Hagen, L. O. (1995). NILU—Norwegian Air Research Institute, personal...
  • Hagen, L. O., Sivertsen, B., & Arnesen, K. (2000). Overvåking av luft-og nedbørkvalitet i grenseområdene i Norge og...
  • O. Hagner et al.

    Detection of forest decline in Monchegorsk area

  • T. Hallingbäck et al.
  • D.L. Hawksworth et al.

    Lichen re-colonisation in London (UK) under conditions of rapidly falling sulphur dioxide levels and the concept of zone skipping

    Botanical Journal of Linnean Society

    (1989)
  • Helle, T., & Kojola, I. (1992). The variation in the growth rate of Cladonia rangiferina in eastern Fennoscandia. In:...
  • L. Janssen et al.

    Accuracy assessment of satellite derived land cover data, a review

    Photogrammetric Engineering and Remote Sensing

    (1994)
  • Kalabin, G. (1991). Ecological situation in the Pechenga region. Report. INEP. Apatity, Russia: Kola Science...
  • R. Kalliola

    Pflanzensoziologische untersuchungen in der alpinen stufe Finnish Lapplands

    Annales Botanici Societatis Zoologicae-Botanicae Fennicae Vanamo

    (1939)
  • Cited by (106)

    • Investigating anthropogenically transformed landscapes with remote sensing

      2021, Remote Sensing Applications: Society and Environment
    • Using NDVI time series to diagnose vegetation recovery after major earthquake based on dynamic time warping and lower bound distance

      2018, Ecological Indicators
      Citation Excerpt :

      More efforts should be paid to develop new methods for revealing the dynamic process of vegetation recovery and conduct case studies for cross-comparison of various methods. Remote sensing data can effectively diagnose vegetation recovery of mountainous regions (Tømmervik et al., 2003, Turner et al., 2007, Ni et al., 2009, Wang et al., 2009, Lu et al., 2012), although researchers always face challenges from unsatisfactory data quality (e.g., cloud cover) and natural variability (e.g., changes in phenology) (Lu et al., 2012). The vegetation recovery rate (VRR) (Lin et al., 2006) method compares vegetation changes at a few cross-sectional data before and after a major disturbance.

    • Carbon based secondary compounds do not provide protection against heavy metal road pollutants in epiphytic macrolichens

      2016, Science of the Total Environment
      Citation Excerpt :

      Lichens often produce fairly species-specific carbon-based secondary compounds (CBSCs) in high concentration; up to 20–30% of dry matter (Huneck, 1973, Solhaug et al., 2009). They are among the more abundant organic molecules in lichen-rich habitats with the potential to change the albedo (Bernier et al., 2011), be seen from outer space (Tømmervik et al., 2003), and kill grazing animals (Cook et al., 2007). Some are considered to influence a lichen species' heavy metal tolerance and uptake (Purvis et al., 1987, 1990, Purvis and Pawlik-Skowronska, 2008, Hauck et al., 2009, 2013).

    View all citing articles on Scopus
    View full text