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LAND COVER DEGRADATION CHALLENGES IN UKRAINE: NATURAL DRIVERS AND PROCESSES
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Lesya Yelistratova; Alexander Apostolov; Artur Khodorovskyi; Maksym Tymchyshyn
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10.5593/sgem2024/2.1
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1314-2704
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English
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24
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2.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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Land cover degradation poses global challenges, both economically and scientifically, with significant implications for Ukraine's sustainable development. Understanding the need for effective strategies to prevent soil degradation, address degraded lands, and reduce associated risks is crucial at both global and regional scales. Early identification and degradation monitoring require establishing natural predictors (drivers) to preserve ecosystems and biodiversity for future sustainable development.
An objective assessment of land cover degradation and its predictors involves integrating remote sensing data across diverse regions and socioeconomic conditions. Research has identified land cover degradation types in Ukraine's territory and the natural drivers triggering this process using remote sensing data. Identifying natural drivers and processes encompasses various aspects, including driving forces (sub-drivers), factors, causes contributing to the degradation, and the degradation processes affecting Ukraine's soil cover. These aspects are integrated into a comprehensive graphic model, illustrating the sequence of driver influences on land cover degradation. Examples of land cover degradation in Ukraine detected through the developed conceptual framework, are provided. The proposed approach explores scenarios for future degradation processes, consequences, and adaptation pathways. |
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conference
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
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24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 7 July, 2024
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
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265-274
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1 - 7 July, 2024
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website
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9944
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land cover degradation, drivers (predictors), ecosystems, remote sensing data, Ukraine
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