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Дата внесения публикации в базу 10-04-2025 16:23 не попадает в период стимулирования 01-06-2025 – 31-05-2026
КБПР (методика 2025 г.) = 8.888
Количество соавторов публикации - 3
Публикация в изданиях из Белого списка уровень: 1, K=20
Публикация в изданиях из Белого списка уровень: 1, K=20
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Дрыгваль П. В.: количество аффилиаций - 3, вклад в КБПР публикации:
формула: K/(Nсоавторов*Nаффил) = 20/(3*3) = 2.222 -
Дрыгваль А. В.: количество аффилиаций - 2, вклад в КБПР публикации:
формула: K/(Nсоавторов*Nаффил) = 20/(3*2) = 3.333 -
Табунщик В. А.: количество аффилиаций - 2, вклад в КБПР публикации:
формула: K/(Nсоавторов*Nаффил) = 20/(3*2) = 3.333
Статья в периодическом издании
Assessment of Organic Carbon Stocks at Landscape Levels Using the InVEST Software
| DOI | https://doi.org/10.28991/CEJ-2025-011-03-018 |
|---|---|
| Язык | Английский |
| Журнал | Civil Engineering Journal ISSN: 2676-6957; Онлайн ISSN: 2476-3055 |
| Год | 2025 |
| Выходные данные | том: 11; номер: 3; страницы: 1145-1161 |
| Авторы | |
| Даты |
Поступила в редакцию: 18.12.2024 После доработки: 12.02.2025 Принята к публикации: 21.02.2025 Опубликована: 01.03.2025 |
| Абстракт | This study aims to calculate and assess organic carbon levels at various landscape levels of the Crimean Peninsula using the Carbon Storage and Sequestration model of the InVEST software. It outlines the stages of working with this model and highlights limitations such as the quality of input data, temporal coverage, and spatial resolution, which can significantly influence the results. Assessment of organic carbon stocks in soils, aboveground and belowground biomass, and vegetation types revealed that the highest carbon concentration was in the low-altitude landscape level of the southern macroslope. From 2017 to 2023, an annual decrease in organic carbon stocks of 0.062 t/ha was recorded, which is likely linked to climate change and shifts in land use. This research provides the first calculations of organic carbon content within the landscape levels of the Crimean Peninsula. As carbon is a significant greenhouse gas, its accumulation or emissions directly affect climate change. Evaluating organic carbon stocks in ecosystems enhances our understanding of their role in mitigating climate change and informing carbon dioxide (CO2) reduction strategies. These findings highlight the need to consider vegetation types and their changes when calculating organic carbon in landscapes and supporting regional environmental policy development. Ключевые слова: organic carbon stocks, aboveground biomass, soil carbon, belowground biomass, land cover types, landscape levels, invest software, the Crimean Peninsula |
| Сведения о финансировании, указанные в публикации | This work was conducted within the framework of the state assignment of the T.I. Vyazemsky Karadag Scientific Station – Nature Reserve of RAS – Branch of A.O. Kovalevsky Institute of Biology of the Southern Seas of RAS, on the topic “Monitoring of climate-active substances in land ecosystems of the Republic of Crimea under the conditions of climate change and anthropogenic impact using remote sensing methods” (state registration number 124052000057-0). |
| URL | https://civilejournal.org/index.php/cej/article/view/5628 |
| Дополнительные сведения |
Запись создана: 10-04-2025 16:23
Последнее изменение: 14-05-2025 14:58
Библиографическая ссылка:
Drygval P., Drygval A., Tabunshchik V. Assessment of Organic Carbon Stocks at Landscape Levels Using the InVEST Software // Civil Engineering Journal. 2025. Vol. 11, no. 3. P. 1145-1161. https://doi.org/10.28991/CEJ-2025-011-03-018
[WoS 4.300/Q1][SCOPUS 0.791/Q1][БС 1]
Drygval P., Drygval A., Tabunshchik V. Assessment of Organic Carbon Stocks at Landscape Levels Using the InVEST Software // Civil Engineering Journal. 2025. Vol. 11, no. 3. P. 1145-1161. https://doi.org/10.28991/CEJ-2025-011-03-018
[WoS 4.300/Q1][SCOPUS 0.791/Q1][БС 1]
Экспертное заключение: № 106, 2025
Белый список
Индексация на момент включения в базу:- Уровень БС
- 1
Web of Science
- Статус
- Да
- Импакт-фактор/Квартиль(год)
- 4.300/Q1 (2023)
- Идентификатор
- 001446195600018
- Статус
- Да
- Импакт-фактор/Квартиль(год)
- 0.791/Q1 (2024)
- Идентификатор
- 2-s2.0-105000242167


