Baibar A., Chernenkova T., Puzachenko M., Belyaeva N. Ratio and factors of continuity and discreteness of vegetation cover on the example of southern taiga landscapes of the Valdai hills // Principy èkologii. 2020. № 3. P. 4‒15. DOI: 10.15393/j1.art.2020.11043


Issue № 3

Conference proceedings May 22, 2020

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Ratio and factors of continuity and discreteness of vegetation cover on the example of southern taiga landscapes of the Valdai hills

Baibar
   Anastasia Sergeevna
Lomonosov Moscow State University, baybaranastasia@yandex.ru
Chernenkova
   Tatyana Vladimirovna
Institute of Geography, Russian Academy of Sciences, chernenkova50@mail.ru
Puzachenko
   Mikhail Yuryevich
Institute of Geography, Russian Academy of Sciences, puzak@bk.ru
Belyaeva
   Nadezhda Georgievna
Institute of Geography, Russian Academy of Sciences, nadejda.beliaeva2012@yandex.ru
Keywords:
continuity and discreteness of vegetation
vegetation boundaries
Central Forest State Biosphere Reserve
ecological and morphological groups
landforms
soil moisture
granulometric composition of soil
Summary: The article considers the ratio of continuity and discreteness of vegetation cover in the southern taiga landscapes of the South of Valdai hills on the example of a 1.72 km long transect (87 points with a description step of 20 m) located in the core of the Central forest state natural biosphere reserve (Tver region, Russia). On the territory of the study, quite large areas of forests that have not experienced anthropogenic impact and reproduce the course of natural ecosystem processes have been preserved. Descriptions of forest communities are grouped based on ecological and phytocenotic classification, and syntaxones are analyzed using diagnostic species (species with IndVal > 25 %). Morphometric parameters of the relief (relative height and steepness of slopes), relative humidity of the upper soil horizon, and granulometric composition of the soil were evaluated as differentiating factors from the ecotope conditions. The results of cluster analysis of the composition of selected syntaxons contributed to the recognition of discrete boundaries between individual classes. In general, on transect in question, discrete boundaries (61%) dominated, mainly associated with sharp changes in landforms and, consequently, the humidity of the upper soil horizon. Continuous boundaries were observed at insignificant height gradients for transitional successional states of communities. It ocuured in the process of overgrowth of dumps, as well as due to changes in the capacity and nature of organoaccumulation of the upper part of the soil profile and the granulometric composition of its middle and lower parts. The analysis showed that for swampy poorly drained spruce forests of the southern taiga landscapes of the South of Valdai hills, the relief and granulometric composition of soils can be attributed to the main differentiating factors of ground tiers of vegetation cover.

© Petrozavodsk State University

Received on: 09 July 2020
Published on: 30 September 2020

References

Armand D. L. Preobrazhenskiy V. S. Armand A. D. Natural complexes and modern methods of their study, Izvestiya AN SSSR. Ser. geogr. 1969. No. 5. P. 5–16.

Baklanov P. Ya. Approaches and basic principles of geographic space structuring, Izvestiya Rossiyskoy akademii nauk. Ser. geogr. 2015. No. 5. P. 7–18.

Baybar A. S. Haritonova T. I. Methodological approaches to assessing the productivity of forest ecosystems (on the example of landscapes in Central Forest State Natural Biosphere Reserve), Landscape dimensions of sustainable development: science-planning-governance: Proceedings of international conference Dedicated to the 70th Anniversary of professor Nikolaz (Niko) Beruchashvili. Tbilsi, Georgia, 2017. P. 613–619.

Chernen'kova T. V. Morozova O. V. Classification and mapping of coenotic diversity of forests, Lesovedenie. 2017. No. 4. P. 243–255.

D'yakonov K. N. Baybar A. S. Haritonova T. I. Intra-century dynamics of using photosynthetically active radiation efficiency ин Meshchera forests, Vestnik Moskovskogo universiteta. Ser. 5: geogr. 2017. No. 5. P. 12–23.

D'yakonov K. N. Interaction of structural, evolutionary and functional directions in landscape research, Vestnik Moskovskogo universiteta. Ser. 5: geogr. 2002. No. 11. P. 13–21.

Dufrêne M and Legendre P. Species assemblages and indicator species: the need for a flexible assymetrical approach, Ecological Monographs. 1997. P. 345–366.

Feng J. et al. Dynamic assessment of forest resources quality at the provincial level using AHP and cluster analysis, Computers and Electronics in Agriculture. 2016. Vol. 124. P. 184–193.

Geochemistry of Landscapes and Geography of Soils, Pod red. N. P. Kasimova, M. I. Gerasimovoy. M.: APR, 2012. 600 p.

Horoshev A. V. On the discussion of neolandscape studies: determinacy, poly-scale, polystructural character, Izvestiya Russkogo geograficheskogo obschestva. 2014. T. 146. No. 4. P. 58–69.

Horoshev A. V. Poly-scale organization of geographic landscape. M.: Tovarischestvo nauchnyh izdaniy KMK, 2016. 416 p.

Ipatov V. S. Kirikova L. A. On the issue of continuum and discreteness of vegetation cover, Botanicheskiy zhurnal. 1985a. T. 70. No. 7. P. 885–895.

Ipatov V. S. Kirikova L. A. Statistical analysis of vegetation quantization, Botanicheskiy zhurnal. 1985b. T. 70. No. 2. P. 255.

Isachenko G. A. Discreteness and continuity in the theory of landscape science, Struktura, funkcionirovanie, evolyuciya prirodnyh i antropogennyh landshaftov: Tezisy X landshaftnoy konferencii. M.; SPb., 1997. P. 23–25.

Kafanov A. I. Continuity and discreteness of geomerida: bionomic and biotic aspects, Zhurnal obschey biologii. 2005. T. 66. No. 1. P. 28–54.

Kafanov A. I. Continuity and discreteness of the living cover: the problem of scale, Zhurnal obschey biologii. 2006. T. 67. No. 4. P. 311–313.

Komarkova V. Classification and ordination in the indian peaks area, Colorado rocky mountains, Classification and Ordination. Springer, Dordrecht, 1980. P. 149–163.

Kuzyahmetov G. G. Continuity and discreteness at different scales of the spatial organization of soil algae, Fundamental'nye i prikladnye problemy botaniki v nachale HHI veka. Petrozavodsk, 2008. P. 55.

Lee J. M., Hwang K. M., Kim J. H. The classification of forest by cluster analysis in the natural forest of the southern region of Baekdudaegan Mountains, Journal of Korean Society of Forest Science. 2014. Vol. 103 (1). P. 12–22.

Malyshev L. I. Floristic zoning based on quantitative traits, Botanicheskiy zhurnal. 1973. T. 58. No. 11. P. 1581–1588.

Mills R. T. et al. Cluster analysis-based approaches for geospatiotemporal data mining of massive data sets for identification of forest threats, Procedia Computer Science. 2011. Vol. 4. P. 1612–1621.

Puzachenko Yu. G. Kozlov D. N. Geomorphological history of regional development. Integrated research in the Central Forest State Natural Biosphere Reserve: their past, present and future, Materialy soveschaniya: Trudy Central'no-Lesnogo zapovednika. Vyp. 4. Tula: Grif i K, 2007. P. 125–159.

Puzachenko Yu. G. Applications of the theory of fractals to the study of landscapes, Izvestiya RAN. 1997. No. 2. P. 24–40.

Reteyum A. Yu. Physical-geographical regionalization and identification of geosystems, Voprosy geografii. Vyp. 98. Kolichestvennye metody izucheniya prirody. M.: Mysl', 1975. P. 5–27.

Scott D. Vegetation: a mosaic of discrete communities, or a continuum?, New Zealand Journal of Ecology. 1995. P. 47–52.

Sysuev V. V. Structure-forming geosystem processes: characteristic scales and modeling, Vestnik Moskovskogo universiteta. Ser. 5: geogr. 2002. P. 22–28.

TDR300 Soil Moisture Meter. Product Manual, Agrola. Laboratornoe oborudovanie dlya sel'skogo hozyaystva. URL: http://www.agrolla.ru/userfiles/file/Spectrum/ManualTDR300.pdf (data obrascheniya: 25.06.2020).

Van der Maarel E. Vegetation ecology – an overview, Vegetation ecology. 2005. P. 1–51.

Vidina A. A. Guidelines for large-scale field landscape research. M.: MGU, 1962. 120 p.

Zerbe S., Wirth P. Non-indigenous plant species and their ecological range in Central European pine (Pinus sylvestris L.) forests, Annals of Forest Science. 2006. Vol. 63 (2). P. 189–203.

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