Desertification Intensity Assessment Within the Ukraine Ecosystems Under the Conditions of Climate Change on the Basis of Remote Sensing Data

Lyalko, V.І.; Apostolov, Alexandr А.; Elistratova, Lesya A.; Romanciuc, Inna; Zakharchuk, Iuliia V.

doi:10.1007/978-3-031-19059-9_2

Cited by 3 publications

(3 citation statements)

References 30 publications

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“…The reasons for such improvement of water accumulation is better water infiltration and decreasing of water evaporation due to a presence on the soil surface of plant residues. Usually for tradition farming the coefficient of relationship between daily level of precipitation and amount of absorption of moisture has a trend to decreasing with increasing of precipitation intensity, but for No-Till farming such decreasing is much slower [10,11].…”

Section: Farming Systemmentioning

confidence: 99%

“…In the tables 1 and 2 the dynamic of average daily air temperature and precipitation on the example of Chernihiv oblast of Ukraine for the last 50 years are presented [3,11,12,14]. The tables show the clear trends for increasing air temperature and instability of precipitation for all four seasons for the mentioned period of time.…”

Section: Global Warmingmentioning

confidence: 99%

“…The tables show the clear trends for increasing air temperature and instability of precipitation for all four seasons for the mentioned period of time. In particular, there is an increase in the temperature and decreasing of precipitation in winter months and as a result decreasing of a snow cover of 15 centimeters [11,12]. The same time distribution of precipitation within a separate oblast is heterogeneous.…”

Section: Global Warmingmentioning

confidence: 99%

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Directions for improving of agricultural land use in Ukraine in conditions of global warming and consequences of the Russian’s military aggression

Demianenko,

Sas

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The article is devoted to the problematic aspects of agricultural land use in Ukraine. Analyzed influence on the use of agricultural land such factors as systems of farming, global warming, uneven precipitation distribution by months, deficit of humus in the soil and consequences of the impact on the soil of Russia’s military aggression. Considered such systems of farming as traditional, organic, No-Till and made conclusion about a harmfulness of traditional farming system on ecology. The main directions of organizational restructuring in crop production in the post-war period are studied. The following main directions have been identified: increasing the level of specialization of production in accordance with farm conditions by choosing crops that are best suited to the climate, soils and assets of the enterprise, as well as increasing the productivity of the use of these assets through the introduction of modern innovative technologies for the production of agricultural products, in particular, soil cultivation technologies. It was concluded that economic and ecological expediency will be the main factors that will determine the directions of organizational restructuring in the plant production of agricultural enterprises of Ukraine in the post-war period and will ensure the recovery and development of the domestic agricultural industry.

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Section: Farming Systemmentioning

confidence: 99%

Section: Global Warmingmentioning

confidence: 99%

Section: Global Warmingmentioning

confidence: 99%

See 1 more Smart Citation

Directions for improving of agricultural land use in Ukraine in conditions of global warming and consequences of the Russian’s military aggression

Demianenko,

Sas

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Utilizing remotely sensed data for atmospheric precipitation analysis in Ukraine

Аpostolov,

Orlenko,

Yelistratova

2024

UJRS

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Up-to-date, the world, including Ukraine, faces one of the biggest environmental problems: climate change. Studying changes in meteorological indicators is an essential task that receives significant attention. Changes in atmospheric precipitation in Ukraine from 2000 to 2023 were analyzed. The study is based on satellite data to establish trends in precipitation changes. Nowadays, in the era of big data, selecting the best-performing dataset can be challenging. Current cloud-based technologies, such as Google Earth Engine (GEE), which store both petabytes of data and computational power for processing, offer researchers new opportunities to use and explore available datasets. The GEE service and NOAA satellite data were used to assess the spatiotemporal patterns of precipitation changes in the 21st century. Advanced cloud-based processing techniques for remotely sensed data offer extensive access to a wide range of geospatial products. These include detailed earth surface characteristics and the spatial distribution of climate indicators collected over extended periods.Additionally, these technologies enable efficient processing and analysis of large-scale datasets, facilitating rapid assessment and monitoring of extensive geographical areas. This capability is crucial for applications in environmental monitoring and climate change studies. Average long-term values of precipitation amounts over 24 years were calculated monthly for the entire year. The research revealed specific trends in seasonal changes in precipitation characteristics during the study period, and the obtained results correspond to the current state of climatic conditions in Ukraine.

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Land Cover Degradation Challenges in Ukraine: Natural Drivers and Processes

Yelistratova,

Apostolov,

Khodorovskyi

et al. 2024

SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings

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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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Desertification Intensity Assessment Within the Ukraine Ecosystems Under the Conditions of Climate Change on the Basis of Remote Sensing Data

Cited by 3 publications

References 30 publications

Directions for improving of agricultural land use in Ukraine in conditions of global warming and consequences of the Russian’s military aggression

Directions for improving of agricultural land use in Ukraine in conditions of global warming and consequences of the Russian’s military aggression

Utilizing remotely sensed data for atmospheric precipitation analysis in Ukraine

Land Cover Degradation Challenges in Ukraine: Natural Drivers and Processes

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