Modeling the redistribution of snow cover in the Russian Far East which is the key parameter of the winter biotopes of hooves


https://doi.org/10.31857/S2076673421010073

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Abstract

The properties of snow cover, one of the most important abiotic factors for survivability of animals (mainly hooves) in winter, are considered. To analyze possible consequences of this influence, it was necessary to develop a special parameterization of snow cover properties differing from those used in solving hydrometeorological problems. In this paper we present the biotopic approach to spatial and temporal modeling of the snow depth and structure at the mesoscale level. For this scale level, the main factor determining the snow cover depth and structure is the distribution of plant associations (the vegetation cover) on mountain slopes of different exposure and steepness. Our cartographic model of the vegetation cover was developed based on the results of decoding the hierarchical multispectral satellite images. Each combination of a vegetation type, exposure, and steepness of a slope has its own snow accumulation coefficient, which allows calculation of the snow depth in a particular biotope. We propose to analyze winter animal habitats using two parameters depending on the depth and structure of the snow cover: a passability and the food availability. Similarly to the map of plant associations exerting effect on snow cover, a map of plant communities of forage biotopes of specific animals has been built, and a certain snow depth was assigned to each type. The forage biotopes were ranked according to degree of availability and passability. The proposed approach was applied to modeling the passability and food availability for wild boar and red deer biotopes in the southern spurs of the Bureinsky range in the Russian Far East. The snow accumulation coefficients used in the model were obtained from field surveys carried out in 2016–2018 at 173 sites located on slopes of different exposure and steepness and within different types of plant communities. It has been established that a significant part of the favorable foraging territories of wild boar and deer overlap, that may cause the interspecific competition and increased load on forage biotopes during severe and snowy winters. The model also makes possible to introduce additional parameters such as the energy consumption per movement, composition and quantity of feeds.


About the Authors

O. V. Sukhova
Natural Science Institute of Perm State University
Russian Federation
Perm


M. A. Vaisfeld
Institute of Geography, Russian Academy of Sciences
Russian Federation
Moscow


References

1. Nasimovich A.A. Rol rezhima snezhnogo pokrova v zhizni kopytnykh zhivotnykh na territorii SSSR. The role of snow regime in the ungulates life in the USSR. Moscow: USSR Academy of Sciences, 1955: 403 p. [In Russian].

2. Formozov A.N. Snezhnyi pokrov kak faktor sredy, ego znachenie v zhizni mlekopitayushchikh i ptits SSSR. Snow cover as an environmental factor, its significance in the mammals and birds life of the USSR. Moscow: MSU, 1990: 287 p. [In Russian].

3. Sobanskii G.G. Zveri Altaya. Chast 1. Krupnye khishchniki i kopytnye. Animals of Altai. Part 1. Large predators and ungulates. Novosibirsk–Moscow: KMK Scientific Press Ltd., 2008: 414 p. [In Russian].

4. Yudakov A.G., Nikolaev I.G. Ekologiya amurskogo tigra. Po zimnim statsionarnym nablyudeniyam 1970—1973, 1996—

5. gg. v zapadnoy chasti Srednego Sikhote-Alinya. Ecology of the Amur tiger. According to winter stationary observations 1970–1973, 1996–2010. in the western part of Middle Sikhote Alin. Vladivostok: Dalnauka, 2002: 202 p. [In Russian].

6. Vaisfeld M.A. Gornostai. Ermine. European North. Northeast. Kolonok, gornostai, vydra. Razmeshchenie zapasov, ekologiya, ispolzovanie i okhrana. Ser. Promyslovye zhivotnye SSSR i sreda ikh obitaniya. Column, ermine, otter. Stocking, ecology, use and protection. Ser. Commercial animals of the USSR and their habitat. Moscow: Science, 1977: 92—108. [In Russian].

7. Baskin L.M., Okhlopkov I.M. Okhrana krupnykh mlekopitayushchikh ot industrialnykh ugroz. Protection of large mammals from industrial threats. Moscow: KMK Scientific Press Ltd., 2010: 201 p. [In Russian].

8. Johnson C.J., Seip D.R., Boyce M.S. A quantitative approach to conservation planning: using resource selection functions to map the distribution of mountain caribou at multiple spatial scales. Journ. of Applied Ecology. 2004, 41 (2): 238–251. doi: 10.1111/j.0021-8901.2004.00899.x.

9. Ziółkowska E., Ostapowicz K., Radeloff V.C., Kuemmerle T., Sergiel A., Zwijacz-Kozica T., Zięba F., Śmietana W., Selva N. Assessing differences in connectivity based on habitat versus movement models for brown bears in the Carpathians. Landscape Ecology. 2016, 31 (8): 1863–1882. doi: 10.1007/s10980-016-0368-8.

10. Dobrynin D.V., Rozhnov V.V., Saveliev A.A., Sukhova O.V., Yachmennikova A.A. Integration of Satellite Tracking Data and Satellite Images for Detailed Characteristics of Wildlife Habitats. Izvestiya, Atmospheric and Oceanic Physics. 2017, 53 (9): 1060–1071. doi: 10.1134/S0001433817090080.

11. Holbrook J.D., Squires J.R., Olson L.E., DeCesare N.J., Lawrence R.L. Understanding and predicting habitat for wildlife conservation: the case of Canada lynx at the range periphery. Ecosphere. 2017, 8 (9). e01939. doi: 10.1002/ecs2.1939.

12. Rickbeil G.J.M., Merkle J.A., Anderson G., Atwood M.P., Beckmann J.P., Cole E.K., Courtemanch A.B., Dewey S., Gustine D.D., Kauffman M.J., McWhirter D.E., Mong T., Proffitt K., White P.J., Middleton A.D. Plasticity in elk migration timing is a response to changing environmental conditions. Global Change Biology. 2019, 25 (7): 2368–2381. doi: 10.1111/gcb.14629.

13. Gelfan A.N., Moreido V.M. Describing macro-scale structure of the snow cover by a dynamic-stochastic model. Led i Sneg. Ice and Snow. 2015, 55 (4): 61–72. [In Russian]. doi.org/10.15356/2076-6734-2015-4-61-72.

14. Kitaev L.M., Tikhonov V.V., Titkova T.B. The accuracy of snow water equivalent anomalies retrieval from satellite data. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. Current problems in remote sensing of the Earth from space. 2017, 14 (1): 27–39. doi: 10.21046/2070-7401-2017-14-1-27-39. [In Russian].

15. Kuzmin P.P. Formirovanie snezhnogo pokrova i metody opredeleniya snegozapasov. Snow cover formation and methods for determining snow reserves. Leningrad: Hydrometeoizdat, 1960: 167 p. [In Russian].

16. Sukhova O.V. Mapping of forest vegetation for snow accumulation modeling in the Perm region. Vestnik Udmurtskogo universiteta. Biologiya. Nauki o Zemle. Bulletin of Udmurt University. Series Biology. Earth Sciences. 2013, 4: 132–139. [In Russian].

17. Rikhter G.D. Snow cover, its formation and properties. U.S. Army CRREL, Transl. 6, NTIS AD 045950, Hanover, NH, 1954: 66 p.

18. Kolomyts E.G. Teoriya evolyutsii v strukturnom snegovedenii. Theory of Evolution for Snow Structure Studies. M.: GEOS, 2013: 482 p. [In Russian].

19. Pozvonochnye zhivotnye zapovednika «Bastak» (Rossiiskaya Federatsiya) i zapovednika «Khunkhe» (Kitaiskaya narodnaya respublika). Vertebrates «Bastak» Reserve (The Russian Federation) and «Honghe» Reserve (People’s Republic of China). Khabarovsk: Antar, 2017: 117 p. [In Russian].

20. Matyushkin E.N. Izbrannye trudy. Selected Works. Moscow: KMK Scientific Press Ltd., 2005: 660 p. [In Russian].

21. Stivens F.A., Zaumyslova O.YU., Astafev A.A., KHeivard G.D., Mikell D.Dzh. Analiz dinamiki naseleniya kopytnykh v Sikhote- Alinskom biosfernom zapovednike. Analysis of the ungulates population dynamics in the Sikhote-Alin Biosphere Reserve. Vladivostok: Dalnauka, 2012: 164 p. [In Russian].

22. Dygalo V.S. The snow cover distribution on the river Medvenka catchment. Trudy Tsentralnogo instituta prognozov. Proc. of the Central Forecasting Institute. 1961, 134: 29–37. [In Russian].

23. Obidin A.A. Current apical growth of forest belts and snow accumulation Vestnik Altaiskogo gosudarstvennogo agrarnogo universiteta. Bulletin of Altai State Agricultural University. 2012, 10 (96): 59–61. [In Russian].

24. Sosnovsky A.V., Osokin N.I. Dynamics of snow storages in forests and fields of Russian plains under climate changes. Led i Sneg. Ice and Snow. 2018, 58 (2): 183–190. doi: 10.15356/2076-6734-2018-2-183-190. [In Russian].

25. Nastavlenie gidrometeorologicheskim stantsiyam i postam. Manual for hydrometeorological stations and posts. Is. 3. Part. 1. Leningrad: Hydrometeoizdat, 1985: 302 p. [In Russian].

26. Sukhova O.V., Dobrynin D.V. Modeling the ungulates behavior for assess the food base spatial distribution of the Amur tiger in winter. VI Vserossiyskaya konferentsiya po povedeniyu zhivotnykh. Moskva 4–7 dekabrya 2017. VI All-Russian Conference on Animal Behavior. Moscow 4–7 December 2017: 155. [In Russian].

27. Dobrynin D., Saveliev A. Hierarchical Multispectral Image Classification Based on Self Organized Maps. Hamburg, IGARSS, 28 june – 02 july 1999: 2510–2513.


Supplementary files

For citation: Sukhova O.V., Vaisfeld M.A. Modeling the redistribution of snow cover in the Russian Far East which is the key parameter of the winter biotopes of hooves. Ice and Snow. 2021;61(1):89-102. https://doi.org/10.31857/S2076673421010073

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