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Biophysics

, Volume 64, Issue 2, pp 309–315 | Cite as

The Restoration Dynamics of Fallow Vegetation in the Steppe Zone of the Khakassia Republic Based on Terrain and Satellite Data

  • I. Yu. BotvichEmail author
  • T. M. ZorkinaEmail author
COMPLEX SYSTEMS BIOPHYSICS
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Abstract

The dynamics and specific features of the restoration of forbs–grass–wormwood and wormwood–grass phytocoenoses on fallow lands in the Altai region, the Republic of Khakassia, were determined on the basis of terrain and satellite data. The species composition, structure, and phytomass of the phytocoenoses were revealed. A gradual formation of structural elements of steppe communities in the studied areas was determined. This work showed the usefulness of time series of satellite data on the NDVI (Normalized Difference Vegetation Index) obtained with the use of MODIS (Moderate Resolution Imaging Spectroradiometer) for the study of specific features of restored fallows. In general the biological parameters, projective cover, and phytomass determine the value of the NDVI. Interannual NDVI variability reflects the rate and time period of fallow restoration. From a certain point, the parameters increased and became close to the steppe (control variant). It has been revealed that not only abiotic factors (climate and soils), but also biotic parameters (grazing and recreational load) affect the NDVI. In this connection, the duration of restoration stages does not always correspond to the published data. They vary under different conditions. Climatic data of the Abakan meteorological station (index 29862 in the network of the World Meteorological Organization) for the period from 2000 to 2017 were statistically treated. The long-term annual average norms of temperatures and precipitation amounts (year and month) for the World Meteorological Organization base period of 1961–1990 were calculated. The dynamics of the temperature and precipitation, using long-term series of data, has been analyzed.

Keywords:

satellite and terrain research methods fallow lands restoration of natural vegetation NDVI long-term variability (structure projective cover phytomass) MODIS 

Notes

ACKNOWLEDGMENTS

The authors are grateful to A.I. Volkova for the assistance at geobotanical descriptions at the field survey in 2016 and 2017.

COMPLIANCE WITH ETHICAL STANDARDS

The authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human participants performed by any of the authors.

REFERENCES

  1. 1.
    L. A. Novikova and M. O. Polozova, Vestn. Orenburg. Gos. Univ. 6, 286 (2009).Google Scholar
  2. 2.
    V. F. Abaimov, N. V. Ledovskii, and I. N. Khodyachikh, Izv. Orenburg. Gos. Agr. Univ. 4 (42), 227 (2013).Google Scholar
  3. 3.
    N. A. Merkulova and T. M. Zorkina, in Proc. 4th Russian–Mongolian Conference of Young Scintists and Students (Shukshin Altai State Humanities Pedagogical University, Biisk, 2005), p. 371.Google Scholar
  4. 4.
    V. P. Samsonova, M. I. Kondrashkina, D. G. Krotov, and O. A. Chichieva, Probl. Agrokhim. Ekol. 1, 53 (2015).Google Scholar
  5. 5.
    S. V. Lomakin and S. A. Makarenko, Vestn. Orlovsk. Gos. Agr. Univ. 5 (32) 27 (2011).Google Scholar
  6. 6.
    E. I. Gaidanaka, N. Ya. Derkaeva, A. M. Cherkesov, et al., All-Union Guidelines for Conducting Geobotanical Surveys of Natural Rangelands and Making Large-Scale Geobotanical Maps (Kolos, Moscow, 1984) [in Russian].Google Scholar
  7. 7.
    T. M. Zorkina, Phytocenology: A Tutorial (Katanov Khakass State Univ., Abakan, 2003) [in Russian].Google Scholar
  8. 8.
    D. K. Bolton and M. A. Friedl, Agric. Forest Meteorol. 173, 74 (2013).ADSCrossRefGoogle Scholar
  9. 9.
    D. W. Deering, Ph. D. Dissertation (Texas A&M Univ., College Station, TX, 1978).Google Scholar
  10. 10.
    C. J. Tucker, Remote Sens. Environ. 8, 127 (1979).ADSCrossRefGoogle Scholar

Copyright information

© Pleiades Publishing, Inc. 2019

Authors and Affiliations

  1. 1.Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Division of Federal Research Center Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of SciencesKrasnoyarskRussia
  2. 2.Cherepnin Herbarium, Astaf’ev Krasnoyarsk State Pedagogical UniversityKrasnoyarskRussia

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