Abstract
A research study of the ecosystem biodiversity of the Central Federal District (CFD) has been carried out at the regional level with the use of the map of vegetation in the terrestrial ecosystems, which was created on the basis of the high spatial resolution (30 m) data obtained from the Landsat satellite series. Numerical characteristics such as the areas of the forest and other terrestral ecosystems; the number of forest plots; their average areas in a federal region; the disturbed forest land areas over the past 5 years; the proportions of the coniferous, deciduous, and mixed forests; and the total number of ecosystem types found in the federal region are calculated for each federal region in the Russian Federation within the CFD. The dominant landscape type is defined using a regular grid whose cell size matches the size of the average basal area of the forest plot on the vegetation map. The areas of the forest, agricultural, grassland, and agro-forest landscapes within each grid cell are estimated. The dominant landscape areas are assessed for each federal region; the analysis reveals that, on average, a quarter of all land areas in the district are occupied by agroforest landscapes. A logical sequence of research activities has been presented to assess the indicators of biodiversity in the forest and other terrestrial ecosystems and their functions and services.
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Belova, E.I. and Ershov, D.V., Pretreatment of Landsat- TM/ETM+ time series of images to create cloudless composite images of localities, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2011, vol. 8, no. 1, pp. 73–82.
Convention on biological diversity (CBD), Forest biodiversity, 2008. http//www.cbd.int/forest/about.shtml. Accessed September 3, 2009.
Devyatova, N.V. and Ershov, D.V., Use of Modis-Terra data for identification of the centers of mass reproduction of forest harmful pests, Izv. Vyssh. Uchebn. Zaved., Geod. Aerofotos’emka, 2008, no. 5, pp. 27–33.
Ershov, D.V. and Kovganko, K.A., Algorithm for thematic classification of satellite images and its implementation in ArcGIS, in Sovremennye problemy distantsionnogo zondirovaniya Zemli iz Kosmosa: Fizicheskie osnovy, metody i tekhnologii monitoringa okruzhayushchei sredy, prirodnykh i antropogennykh ob”ektov (Modern Problems of Remote Sensing of the Earth from Space: Physical Principles, Methods, and Technologies of Environmental Monitoring, Natural and Anthropogenic Objects), Moscow: DoMira, 2012, p. 41.
Ershov, D.V. and Lukina, N.V., The basic principles of information system of remote monitoring of the biological diversity of Russian forest, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2013, vol. 10, no. 2, pp. 46–60.
Ershov, D.V., Mirtova, I.A., and Gudkova, D.A., An analysis of the forest dynamics in Moscow oblast using satellite images for geo-environmental monitoring, Izv. Vyssh. Uchebn. Zaved., Geod. Aerofotos’emka, 2014, no. 1, pp. 78–82.
Gavrilyuk, E.A. and Ershov, D.V., Methods of automated preparation of test sample for thematic image classification of high spatial resolution Lansat-TM, in Sovremennye problemy distantsionnogo zondirovaniya Zemli iz Kosmosa: Fizicheskie osnovy, metody i tekhnologii monitoringa okruzhayushchei sredy, prirodnykh i antropogennykh ob”ektov (Modern Problems of Remote Sensing of the Earth from Space: Physical Principles, Methods, and Technologies of Environmental Monitoring, Natural and Anthropogenic Objects), Moscow: DoMira, 2012a, p. 379.
Gavrilyuk, E.A. and Ershov, D.V., Combined processing of different-season Landsat-TM images and their use for creation of the map of terrestrial ecosystems of Moscow oblast, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2012b, vol. 9, no. 4, pp. 15–23.
Gavrilyuk, E.A. and Ershov, D.V., Thematic mapping of forest ecosystems at the regional and federal level, Mater. mezhd. nauch. konf. “Regional’nye problemy distantsionnogo zondirovaniya Zemli” (Proc. Int. Sci. Conf. “Regional Problems of Remote Sensing of the Earth”), Krasnoyarsk: Sib. Fed. Univ., 2014, pp. 204–208.
Kurnaev, S.F., Lesorastitel’noe raionirovanie SSSR (Forest Zonation in Soviet Union), Moscow: Nauka, 1973.
MEA 2005—Millennium ecosystem assessment—Subglobal assessments, UNEP/GRID-Arendal Maps and Graphics Library, 2005. http://maps.grida.no/go/graphic/millennium-ecosystem-assessment-sub-globalassessments. Accessed July 8, 2010.
Mirtova, I.A., Ershov, D.V., and Myagkova, D.A., The use of satellite data for the assessment of forest damage by bark beetle in Moscow oblast, Izv. Vyssh. Uchebn. Zaved., Geod. Aerofotos’emka, 2013, no. 6, pp. 77–82.
Sanderson, E., Malanding, J., Levy, M.A., Redford, K.H., Wannebo, A.V., and Woolmer, G., The human footprint and the last of the wild, Bioscience, 2002, vol. 52, no. 10, pp. 891–904.
Strand, H., Hoft, R., Strittholt, J., Miles, L., Horning, N., Fosnight, E., and Turner, W., Sourcebook on remote sensing and biodiversity indicators, Secret. Convention Biol. Diversity, Tech. Ser., 2007, no. 32.
Qiu, J. and Turner, M.G., Spatial interactions among ecosystem services in an urbanizing agricultural watershed, Proc. Natl. Acad. Sci. U.S.A., 2013, vol. 110, no. 29, pp. 12149–12154.
Wickham, J.D., Riiters, K.H., Wade, T.G., and Couiston, J.W., Temporal change in forest fragmentation at multiple scales, Landscape Ecol., 2007, no. 22, pp. 481–489. doi 10.1007/s10980-006-9054-6
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Original Russian Text © D.V. Ershov, A.C. Isaev, N.V. Lukina, E.A. Gavrilyuk, N.V. Koroleva, 2015, published in Lesovedenie, 2015, No. 6, pp. 403–416.
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Ershov, D.V., Isaev, A.C., Lukina, N.V. et al. Assessment of biodiversity in Central Federal District using satellite-based maps of terrestrial ecosystems. Contemp. Probl. Ecol. 9, 791–804 (2016). https://doi.org/10.1134/S1995425516070040
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DOI: https://doi.org/10.1134/S1995425516070040