Prognosis of the spatiotemporal dynamics of ecosystems by means of universal kriging

Prognosis of the spatiotemporal dynamics of ecosystems by means of universal kriging The use of quantitative data for constructing prognostic maps of the dynamics of ecosystem degradation and restoration by nonlinear simulation methods is a topical field of landscape ecology. This method of dynamic cartography is based on fiberwise comparison of data on the state of Chernye Zemli (the Kalmyk Republic, Russia) in different years and the detailed analysis of the period on which the prognosis was based. For this purpose, materials of repeated aerial and satellite photography obtained during a long period (1954–1993) were used. Comparison of maps characterizing the dynamics of Chernye Zemli between 1958 and 1993 allows prognostic electronic maps for the next 10–15 years (with a five-year interval) to be drawn and land prognosis for the next 20–30 years (1998–2023) to be obtained. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Ecology Springer Journals

Prognosis of the spatiotemporal dynamics of ecosystems by means of universal kriging

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Publisher
Springer Journals
Copyright
Copyright © 2000 by MAIK “Nauka/Interperiodica”
Subject
Life Sciences; Ecology; Environment, general
ISSN
1067-4136
eISSN
1608-3334
D.O.I.
10.1007/BF02828441
Publisher site
See Article on Publisher Site

Abstract

The use of quantitative data for constructing prognostic maps of the dynamics of ecosystem degradation and restoration by nonlinear simulation methods is a topical field of landscape ecology. This method of dynamic cartography is based on fiberwise comparison of data on the state of Chernye Zemli (the Kalmyk Republic, Russia) in different years and the detailed analysis of the period on which the prognosis was based. For this purpose, materials of repeated aerial and satellite photography obtained during a long period (1954–1993) were used. Comparison of maps characterizing the dynamics of Chernye Zemli between 1958 and 1993 allows prognostic electronic maps for the next 10–15 years (with a five-year interval) to be drawn and land prognosis for the next 20–30 years (1998–2023) to be obtained.

Journal

Russian Journal of EcologySpringer Journals

Published: Feb 1, 2008

References

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