Abstract
The analysis of conditions for the runoff formation is believed to be the useful example of applying theoretical knowledge to study interrelations between landscape structure and functioning. The practical importance of such knowledge is seen in developing area zoning which takes into account microclimatic conditions and is aimed at sustainable organization of landscape structure and effective land use at the level of the small watershed. To model the water runoff and certain elements of water balance in the study area, we calculated topographically mediated indicative values of water cycle and solar radiation and assessed how they are related to the diversity of landscape conditions affecting runoff formation. The variability in growing conditions at different landforms was studied using the original method of hydroclimatic calculations and Ramenskiy’s vegetation scales which provide information on species sensitivity to moisture content. After that, the detected diversity was considered as rationale for modeling optimal distribution of land use types. The application of the method provides new opportunities for effective use of landscape resources as well for the sustainable development of natural and social systems. This method is believed to be of particular relevance for the newly cultivated agricultural lands and buffer zones of nature protected area.
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Notes
- 1.
Hydrocirculation is the lateral water flowing downward under force of gravity. Hydrocirculation indicators show the distribution of water under the force of gravity.
- 2.
L.G. Ramensky (1884–1953) is Russian geobotanist and geographer who proposed ecological scales for vegetation ordination along the axes of moisture supply, nutrient supply, salinity, etc. He is also the author of pioneer works concerning theory of landscape and landscape morphological units.
References
ASTER GDEM. (2009). http://gdem.ersdac.jspacesystems.or.jp/index.jsp. Аccessed 01 May 2018.
Beven, K. J., & Kirkby, M. J. (1979). A physically based, variable contributing area model of basin hydrology. Hydrolological Science Bulletin, 24, 43–69.
Bosch, J. M., & Hewlett, J. D. (1982). A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. Journal of Hydrology, 55, 3–23.
Dokuchaev, V. V. (1892). Our steppes in the past and at the present time. St. Petersburg. Evdokimov’s printing house. 128 p. (in Russian).
Erofeev, A. A., Li, V. G., & Kopysov, S. G. (2017). Experience of a terrestrial laser scanning of natural landscapes of the southeast of West Siberia. In Contemporary problems of geography and geology. Proceedings of the IVth All-Russian scientific and practical conference (Vol. 1, pp. 57–61). Tomsk: Tomsk State University. (in Russian).
Gassman, P. W., Reyes, M. R., Green, C. H., & Arnold, J. G. (2007). The soil and water assessment tool: Historical development, applications, and future research directions. Transactions of the ASABE, 50(4), 1211–1250.
Geographic Resources Analysis Support System (GRASS GIS). (2018). https://grass.osgeo.org. Accessed 01 May 2018.
Glugla, G., Jankiewich, P., Rachinow, C., et al. (2003). BAGLUVA. Wasserhaushaltsverfahren zur berechnung vieljähriger mittelwerte der tatsächlichen verdunstung und des gesamtabflusses. BfG – 1342. Koblenz: Bundesanstalt für Gewässerkunde.
Hickler, T., Vohland, K., Feehan, J., Miller, P. A., et al. (2012). Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species-based dynamic vegetation model. Global Ecology and Biogeography, 21, 50–63.
Karnatsevich, I. V., Mezentseva, O. V., Tusupbekov, G. A., & Bikbulatova, G. G. (2007). Study of the dynamics and mapping of elements of energy and water balance and characteristics of energy and water availability. Omsk: Omsk State Agricultural University Press. (in Russian).
Kopysov, S. G. (2014). Parametrical expression of landscape conditions of runoff in the method of hydroclimatic calculations. Geography and Natural Resources, 3, 157–161. (in Russian).
Kopysov, S. G. (2015). Reflection of the ecosystem processes in method of hydro-climatic calculations. In Reflection of bio-, geo, antropospheric interactions in soils and soll cover (pp. 417–421). Tomsk: Izdatel’skij dom TGU. (in Russian).
Kopysov, S. G., & Yarlykov, R. V. (2015). Experience in organization of hydrological and climatic observations on small model catchments of West Siberia. Bulletin of the Tomsk Polytechnic University. GeoАssets Engineering, 326(12), 115–121. (in Russian).
Kopysov, S. G., Erofeev, A. A., & Zemtsov, V. A. (2015). Estimation of water balance over catchment areas taking into account the heterogeneity of their landscape conditions. International Journal of Environmental Studies, 72(3), 380–385. https://doi.org/10.1080/00207233.2015.1010876.
Mezentsev, V. S. (1982). Hydrological calculations for melioration. Omsk: Omsk Agricultural Institute Publishing house. (in Russian).
Moore, I. D., Grayson, R. B., & Ladson, A. R. (1991). Digital terrain modeling: A review of hydrological, geomorphological and biological applications. Hydrological Processes, 5, 3–30.
Myshlyakov, S., & Glotov, A. (2015). «Geoanalitika.Argo» – an innovative solution for agricultural monitoring. Geomatics, 2(27), 58–62. (in Russian).
Odum, E. P. (1971). Fundamentals of ecology (3rd ed.). Philadelphia: W.B. Saunders.
Planchon, O., & Darboux, F. (2002). A fast, simple and versatile algorithm to fill the depressions of digital elevation models. Catena, 46(2), 159–176.
Prikhod’ko, N. N., Shaldej, V. V., & Pishchak, D. V. (1994). Issues of rational nature management and ecological optimization of the west of Ukraine landscapes. In Problems of regional ecology. Vol. 2. Regional nature management (pp. 26–35). Tomsk: Krasnoe znamya. (in Russian).
Ramamohana, R. P., & Suneetha, P. (2012). Land use modeling for sustainable rural development. International Journal of Science, Environment and Technology, 1(5), 519–532.
Ramensky, L. G. (1971). Problems and methods for studying vegetation cover. Selected works. Leningrad: Nauka. (in Russian).
Rodriguez, E., Morris, C. S., Belz, J. E., Chapin, E. C. et al. (2005). An assessment of the SRTM topographic products. Technical report JPL D-31639. Pasadena, California: Jet Propulsion Laboratory.
Shashko, D. I. (1967). Agro-climatic zoning of the USSR. Moscow: Kolos. (in Russian).
Shmakin, A. B., Krenke, A. N., Mihajlov, Y. A., & Turkov, D. V. (2001). Role of the landscape structure of terrestrial surface in climatic system. Proceedings of Russian Academy of sciences, geographical series, 4, 38–43. (in Russian).
Soil and Water Assessment Tool (SWAT). (2018). https://swat.tamu.edu. Accessed 01 May 2018.
Specialized data for climatic research. (2017). http://aisori.meteo.ru/ClimateR. Accessed 11 Nov 2017.
System for Automated Geoscientific Analyses (SAGA). (2018). http://www.saga-gis.org. Accessed 01 May 2018.
Sysuev, V. V. (2014). Basic concepts of the physical and mathematical theory of geosystems. In K. N. Dyakonov, V. M. Kotlyakov, & T. I. Kharitonova (Eds.), Issues in Geography (Horizons of landscape studies) (Vol. 138, pp. 65–100). Moscow: Kodeks. (in Russian).
Tomilov, N. A. (2001). Russians of the lower part of Pritom’ye (the end of XIX – the first quarter of XX century). Omsk: Omsk Pedagogical University Publishing house.
U.S. Geological Survey (USGS). (2017). http://usgs.gov. Accessed 22 Aug 2017.
Wilson, E. O. (2016). Half-earth: Our planet’s fight for life. New York: Liveright Publishing Corporation.
Acknowledgments
This research was financially supported by The Tomsk State University Competitiveness Improvement Programme (Project No. 8.1.32.2018).
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Erofeev, A.A., Kopysov, S.G. (2020). Modeling of Hydrological and Climatic Resources of the Landscape for Sustainable Land Use at Small Watersheds. In: Khoroshev, A., Dyakonov, K. (eds) Landscape Patterns in a Range of Spatio-Temporal Scales. Landscape Series, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-030-31185-8_11
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