Assessment of Organic Carbon Stocks at Landscape Levels Using the InVEST Software

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. Doi: 10.28991/CEJ-2025-011-03-018 Full Text: PDF

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Journal
Civil Engineering Journal
Published
2025-03-01
DOI
https://doi.org/10.28991/cej-2025-011-03-018
Citations
1
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.80
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article

Assessment of Organic Carbon Stocks at Landscape Levels Using the InVEST Software

Polina Drygval, Anna Drygval, Vladimir Tabunshchik
1 citations
Civil Engineering Journal
Environmental Impact and Sustainability
0.80
article

Assessment of Organic Carbon Stocks at Landscape Levels Using the InVEST Software

Polina Drygval, Anna Drygval, Vladimir Tabunshchik
article en
1 citations

Abstract

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. Doi: 10.28991/CEJ-2025-011-03-018 Full Text: PDF

Civil Engineering JournalVol. 11(3)
A.O. Kovalevsky Institute of Biology of the Southern Seas (UA)
Openalex Percentile: Top 32%
Environmental Impact and Sustainability
0.80
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