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Predictive Mapping of Spatiotemporal Dynamics in Subarid Ecosystems amid Multidirectional Climatic Wetting Trends

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Contemporary Problems of Ecology Aims and scope

Abstract

A new approach to modeling spatiotemporal dynamics in forest-steppe ecosystems amid climate change is proposed. This approach involves a morphometric analysis of the digital elevation model (SRTM). The resultant forecast is based on an analysis of the geological–geomorphological framework and takes into account the functional significance of specific relief forms and types and their impacts on the static and dynamic properties of ecosystems. Plain areas are most resistant to climatic changes, while areas with lacustrine relief are most vulnerable both under humidization and aridization conditions. Predictive mapping based on GIS and remote sensing (RS) data confirms the hypothesis of the focal–discrete nature of spatial changes observed in the forest-steppe zone of Western Siberia amid different climatic trends.

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Funding

This study was performed as a part of the State Assignments of the Sobolev Institute of Geology and Mineralogy, Siberian Branch, Russian Academy of Sciences, and the Institute of Soil Science and Agrochemistry, Siberian Branch, Russian Academy of Sciences.

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Authors and Affiliations

  1. Sobolev Institute of Geology and Mineralogy, Siberian Branch, Russian Academy of Sciences, 630090, Novosibirsk, Russia

    D. A. Chupina & I. D. Zolnikov

  2. Institute of Soil Science and Agrochemistry, Siberian Branch, Russian Academy of Sciences, 630090, Novosibirsk, Russia

    E. N. Smolentseva

Authors
  1. D. A. Chupina
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  2. I. D. Zolnikov
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  3. E. N. Smolentseva
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Correspondence to D. A. Chupina, I. D. Zolnikov or E. N. Smolentseva.

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Conflict of interests. The authors declare that they have no conflicts of interest.

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Translated by L. Emeliyanov

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Chupina, D.A., Zolnikov, I.D. & Smolentseva, E.N. Predictive Mapping of Spatiotemporal Dynamics in Subarid Ecosystems amid Multidirectional Climatic Wetting Trends. Contemp. Probl. Ecol. 13, 556–566 (2020). https://doi.org/10.1134/S1995425520050042

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  • DOI: https://doi.org/10.1134/S1995425520050042

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