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Degradation of Forestland in Land-Use/Cover Patterns of Russia


  • V. Stolbovoi


By manifesting the response of land to human activity and impacts, degradation of forestland indicates the locations where society is in conflict with sustaining the forest environment. The analysis of land degradation in various land-use/cover patterns of Russia's vast forest zone (about 1050 million ha., or 63% of the country) clearly demonstrates two human-induced problems, inappropriate technology and improper management, causing land degradation on 9% of the territory. The study illustrates the high vulnerability of forest soils (in comparison to steppe grassland soils) after conversion to intensive cultivation. Thus, a balanced combination of forests and cropland has been found to be the most sustainable land use in the forest zone.

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  • V. Stolbovoi, 1997. "Degradation of Forestland in Land-Use/Cover Patterns of Russia," Working Papers ir97070, International Institute for Applied Systems Analysis.
  • Handle: RePEc:wop:iasawp:ir97070

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    1. Ermoliev, Yuri M. & Norkin, Vladimir I., 1997. "On nonsmooth and discontinuous problems of stochastic systems optimization," European Journal of Operational Research, Elsevier, vol. 101(2), pages 230-244, September.
    2. Philip J. Cook & Daniel A. Graham, 1977. "The Demand for Insurance and Protection: The Case of Irreplaceable Commodities," The Quarterly Journal of Economics, Oxford University Press, vol. 91(1), pages 143-156.
    3. Tucker, Michael, 1997. "Climate change and the insurance industry: the cost of increased risk and the impetus for action," Ecological Economics, Elsevier, vol. 22(2), pages 85-96, August.
    4. Mayers, David & Smith, Clifford W, Jr, 1983. "The Interdependence of Individual Portfolio Decisions and the Demand for Insurance," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 304-311, April.
    5. Y.M. Ermoliev & V.I. Norkin, 1997. "Stochastic Generalized Gradient Method with Application to Insurance Risk Management," Working Papers ir97021, International Institute for Applied Systems Analysis.
    6. T.Y. Ermolieva & Y.M. Ermoliev & V.I. Norkin, 1997. "Spatial Stochastic Model for Optimization Capacity of Insurance Networks Under Dependent Catastrophic Risks: Numerical Experiments," Working Papers ir97028, International Institute for Applied Systems Analysis.
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