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Assessment of Carbon Reserves and Biomass of Forest Ecosystems in the Southern Urals

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Abstract

Forest biomass, being the main indicator of ecosystem productivity, is used in assessing the global carbon cycle and modeling climate change. The aim of the research is to assess the reserves of carbon and terrestrial biomass in forest ecosystems, using satellite images. In the method of obtaining data of terrestrial biomass and carbon stock based on the integration of ground-based (field, desk) forest studies, remote sensing of the Earth is considered. An assessment of carbon stocks and terrestrial biomass in forest ecosystems adjacent to Lake Talkas, located on the eastern slopes of the Southern Urals, was carried out. We used regression analysis to predict AGB. Studies have shown the reserves of aboveground biomass in the sample areas to be closely correlated with the values of the vegetation index, NDVI. The closeness of the relationship between the NDVI values at the study points with aboveground biomass is characterized by a correlation coefficient equal to 0.877. The NDVI values in the tested areas vary from 0.60 to 0.80. The highest indicator of terrestrial biomass was 245.69 t/ha, the lowest—4.42 t/ha. Estimated carbon reserves using NDVI in the studied forest areas growing along Lake Talkas ranged from 2.07 t/ha to 115.47 t/ha with an average CO2 reserve of 40.2 t/ha. It can therefore be concluded that the use of the NDVI is a reliable method for assessing AGB and carbon stocks in forest ecosystems.

Highlights

  • Forest biomass is an important indicator of ecosystem productivity.

  • Hyperspectral data can improve the prediction of compared forest biomass.

  • Proper management can increase the ability of forests to absorb more carbon.

  • The research used a modern Sentinel-2 satellite to map the reserves of terrestrial biomass and carbon.

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Acknowledgements

The article was carried out as part of the implementation of the research project SP4B9 development of methods for determining the deposit potential of the forest stand of protected areas of the Republic of Bashkortostan, based on remote sensing data of the Strategic project Decarbonization technologies of the Priority-2030 academic leadership program.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The article was carried out as part of the implementation of the research project SP4B9 development of methods for determining the deposit potential of the forest stand of protected areas of the Republic of Bashkortostan based on remote sensing data of the Strategic project Decarbonization technologies of the Priority-2030 academic leadership program.

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Authors and Affiliations

  1. Department of Forestry and Landscape Design, Federal State Budgetary Educational Establishment of Higher Education, Bashkir State Agrarian University, Ufa, Russian Federation

    Rida Sultanova, Georgiy Odintsov & Maria Martynova

  2. Department of Environmental Management, Construction and Hydraulics, Federal State Budgetary Educational Establishment of Higher Education, Bashkir State Agrarian University, Ufa, Russian Federation

    Radik Mustafin

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  1. Rida Sultanova
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by MM and RM. The first draft of the manuscript was written by RS and GO, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Rida Sultanova.

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Sultanova, R., Odintsov, G., Martynova, M. et al. Assessment of Carbon Reserves and Biomass of Forest Ecosystems in the Southern Urals. Int J Environ Res 17, 26 (2023). https://doi.org/10.1007/s41742-023-00516-y

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  • DOI: https://doi.org/10.1007/s41742-023-00516-y

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