Geoinformation modeling of ecosystems based on the basin approach

DOI: 10.35595/2414-9179-2023-1-29-560-573

View or download the article (Rus)

About the Authors

Marina G. Erunova

Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”,
50, Akademgorodok str., Krasnoyarsk, 660036, Russia,
E-mail: marina@icm.krasn.ru

Oleg E. Yakubailik

Institute of Computational Modeling of the Siberian Branch of the Russian Academy of Sciences,
50/44, Akademgorodok str., Krasnoyarsk, 660036, Russia,
E-mail: oleg@icm.krasn.ru

Abstract

The basin approach is an effective tool for the organization and administration of environmental management at the regional and interregional levels. Statistical processing of basin information makes it possible to comprehensively assess the ecology of river catchment areas of different hierarchical levels. Assessing the state of unique natural characteristics for each basin and identifying relationships between them is a complex task that requires the use of various methods and technologies of geoinformation modeling using a variety of ground and satellite data. The elementary territorial unit in this work is the minimum watersheds of the pilot area of four watersheds in Eastern Siberia with an average area of about 1 ha. For each basin, a set of attributes of unique natural characteristics is formed, which are obtained on the basis of ground-based research and satellite data, as well as climate models. Such a set of attributes makes it possible to assess the state of the territory based on various methods of mathematical modeling, statistical and cluster analysis. Basin modeling of the territory was performed on the basis of a hydrologically correct digital relief model MERIT DEM Hydro. Based on Terra/MODIS satellite information, data on temperature, vegetation indices, and vegetation cover were obtained for each catchment area. According to the data of the NASA GPM and NCEP GFS reanalysis, data on accumulated precipitation were generated for all elementary watersheds. An analysis of the seasonal dynamics of surface temperature in the study area was carried out, and statistical distributions of changes in surface temperature during the year were obtained for each watershed. The sum of active air temperatures above 10°C was calculated. Statistical values and average annual characteristics of trends in the vegetation indices NDVI, SAVI and LAI for each basin were obtained. The created geoinformation model is a tool for ensuring the tasks of assessing the state of ecosystems based on the landscape-basin approach. The necessary methods and technologies for creating, storing and processing data for each watershed have been developed.

Keywords

GIS, modeling, watershed, ecosystem, remote sensing

References

  1. Bartalev S., Egorov V., Zharko V., Loupian E., Plotnikov D., Khvostikov S., Shabanov N. Land cover mapping over Russia using Earth observation data. Moscow: Space Research Institute of Russian Academy of Sciences, 2016. 208 p. (in Russian).
  2. Braslavskaya T.Yu., Kolbowsky E.Yu., Esipova E.S., Korotkov V.N., Nemchinova A.V., Churakova E.Yu., Kozykin A.V., Kulyasova A.A., Aleinikov A.A. The Landscape-Basin Approach for Ecological Evaluation of Intact Forest Areas on the Onega Peninsula (Russia). Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya, 2020. V. 84 (6). P. 905–919 (in Russian). DOI: 10.31857/S2587556620060035.
  3. Dangermond J. GIS Foreword. World Spatial Metadata Standards, 2005. P. XV–XVI.
  4. Erunova M.G., Yakubailik O.E. Zoning of the territory on the basis of morphometric analysis of basin geosystems. IOP Conference Series. Earth & Environmental Science, 2020. V. 421. P. 062039 (in Russian). DOI: 10.1088/1755-1315/421/6/062039.
  5. Erunova M.G., Yakubailik O.E., Sadovsky M.G. Annual temperature variation reliably identifies different sites in a large water basin. IOP Conference Series. Materials Science & Engineering, 2020. V. 862. P. 062060 (in Russian). DOI: 10.1088/1757-899X/862/6/062060.
  6. Ginzburg A.I., Kostianoy A.G., Sheremet N.A., Izhitskiy A.S., Soloviov D.M. The drying dynamics of the Western Large Aral Sea from satellite data (2002–2021). Current Problems in Remote Sensing of the Earth from Space, 2022. V. 19. No. 5. P. 246–263 (in Russian). DOI: 10.21046/2070-7401-2022-19-5-246-263.
  7. Gorban A.N., Zinovyev A. Fast and user-friendly non-linear principal manifold learning by method of elastic maps. 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Paris. France, 2015. P. 1–9. DOI: 10.1109/DSAA.2015.7344818.
  8. Haag S., Schwartz D., Shakibajahromi B., Campagna M., Shokoufandeh A. A fast algorithm to delineate watershed boundaries for simple geometries. Environmental Modelling & Software, 2020. V. 134. P. 104842. DOI: 10.1016/j.envsoft.2020.104842.
  9. Kuzmenko Ya.V., Lisetsky F.N., Narozhnaya A.G. Application the basin concept of environmental management for soil-water safety arrangement of agrolandscapes. Proceedings of the Samara Scientific Center of the Russian Academy of Sciences, 2012. V. 14. No. 1 (9). P. 2432–2435 (in Russian).
  10. Kuznetsova T.I. Geosystems mapping for solving the problems of sustainable development of lake Baikal basin within the transboundary area of Russia and Mongolia. Proceedings of the International conference “InterCarto. InterGIS”, 2016. V. 22. No. 1. P. 297–309 (in Russian). DOI: 10.24057/2414-9179-2016-1-22-297-309.
  11. Lindsay J.B. Whitebox GAT: A case study in geomorphometric analysis. Computers & Geosciences, 2016. V. 95. P. 75–84. DOI: 10.1016/j.cageo.2016.07.003.
  12. Loupian E.A., Bartalev S.A., Krasheninnikova Yu.S., Plotnikov D.E., Tolpin V.A., Uvarov I.A. Analysis of winter crops development in the southern regions of the European part of Russia in spring of 2018 with use of remote monitoring. Current Problems in Remote Sensing of the Earth from Space, 2018. V. 15. No. 2. P. 272–276 (in Russian). DOI: 10.21046/2070-7401-2018-15-2-272-276.
  13. Makarova M.A., Vladimirova N.A. The review of the Internet open spatial resources on Earth’s vegetation cover. Botanical journal, 2020. V. 105. No. 4. P. 387–407 (in Russian). DOI: 10.31857/S0006813620040067.
  14. Murray N.J., Keith D.A., Bland L.M., Legoretta L.F. The role of satellite remote sensing in structured ecosystem risk assessments. Science of The Total Environment, 2018. V. 619–620. P. 249–257. DOI: 10.1016/j.scitotenv.2017.11.034.
  15. Neumann A., Saber A., Arnillas C.A., Shimoda Yu. Implementation of a watershed modelling framework to support adaptive management in the Canadian side of the Lake Erie basin. Ecological Informatics, 2021. V. 66. P. 101444. DOI: 10.1016/j.ecoinf.2021.101444.
  16. Rogov V., Bagaynikov M. Pool approach to the formation of institutions of economic development of the region (applicable to the Baikal region). Transbaikal State University Journal, 2020. V. 26. No. 5. P. 106–117 (in Russian). DOI: 10.21209/2227-9245-2020-26-5-106-117.
  17. Schmidt P., Morrison T.H. Watershed management in an urban setting: process, scale and administration. Land use policy, 2012. V. 29. No. 1. P. 45–52. DOI: 10.1016/j.landusepol.2011.05.003.
  18. Sun Y., Hao R., Qiao J., Xue H. Function zoning and spatial management of small watersheds based on ecosystem disservice bundles. Journal of Cleaner Production, 2020. V. 255. P. 120285. DOI: 10.1016/j.jclepro.2020.120285.
  19. Yakubailik O.E., Yakubaylik T.V. Analysis of accumulated precipitation based on satellite data in Central Siberia. IOP Conference Series. Earth and Environmental Sciences, 2020. V. 548. No. 3. P. 032025. DOI: 10.1088/1755-1315/548/3/032025.
  20. Yamazaki D., Ikeshima D., Sosa J., Bates P.D., Allen G.H., Pavelsky T.M. MERIT Hydro: A high-resolution global hydrography map based on latest topography dataset. Water Resources Research, 2019. V. 55. No. 6. P. 5053–5073. DOI: 10.1029/2019WR024873.
  21. Yermolaev O.P., Maltsev K.A., Mozzherin V.V., Mozzherin V.I. Global Geoinformation system “Suspended sediment yield in the river basins of the Earth”. Geomorfologiya i Paleogeografiya. 2012. No. 2. P. 50–58 (in Russian). DOI: 10.15356/0435-4281-2012-2-50-58.
  22. Zherelina I.V. Basin approach in environmental management. PhD dissertation. Barnaul, 1999. 203 p.

For citation: Erunova M.G., Yakubailik O.E. Geoinformation modeling of ecosystems based on the basin approach. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2023. V. 29. Part 1. P. 560–573. DOI: 10.35595/2414-9179-2023-1-29-560-573 (in Russian)