IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Spatial Heterogeneity of Soil Carbon Sequestration Potential and Its Estimation Using GIS Technologies and Remote Sensing Data

Spatial Heterogeneity of Soil Carbon Sequestration Potential and Its Estimation Using GIS Technologies and Remote Sensing Data
View Sample PDF
Author(s): Andrii Achasov (V.N. Karazin Kharkiv National University, Ukraine), Alla Achasova (Research Institute for Soil and Water Conservation, Czech Republic)and Ganna Titenko (V.N. Karazin Kharkiv National University, Ukraine)
Copyright: 2025
Pages: 34
Source title: Sustainable Soil and Water Management Practices for Agricultural Security
Source Author(s)/Editor(s): Lyudmyla Kuzmych (Institute of Water Problems and Land Reclamation, National Academy of Agrarian Sciences of Ukraine, Ukraine & Kherson State Agrarian and Economic University, Ukraine )
DOI: 10.4018/979-8-3693-8307-0.ch004

Purchase


Abstract

The chapter considers soil carbon sequestration potential as a characteristic associated with the genesis of soils and the degree of their degradation. Various options for estimating the soil carbon sequestration potential based on comparing potentially achievable and actual levels of organic carbon content in soils are considered. Possible scenarios of carbon losses and carbon sequestration by the soils of Ukraine for the period up to 2050 are discussed. A method of spatial quantitative assessment of soil sequestration potential is proposed, considering the heterogeneity of relief and the degree of erosion degradation of soils. The implementation of the method is presented in the case of an experimental site located in the forest-steppe of Ukraine (Kharkiv region). It was shown that underestimation of the features of soil spatial heterogeneity can lead to errors in the estimation of the soil organic carbon sequestration potential up to 50% of the average value.

Related Content

Madhu Arora, Neeraj Anand, Parag R. Kaveri. © 2026. 20 pages.
L. B. Muralidhar, H. R. Swapna, K. P. Sheeba, Mohsina Hayat, K. Nethravathi. © 2026. 46 pages.
Shashi Kant, Tamire Ashuro, Metasebia Adula, Zerihun Kinde Alemu. © 2026. 24 pages.
Vishwajit K. Barbudhe, Shraddha N. Zanjat, Bhavana S. Karmore. © 2026. 20 pages.
Smit B. Kacha, Mahi Chheladiya, Meeta Joshi, Janvi Bhindi. © 2026. 58 pages.
Pawan Kumar, Arvinder Kaur, Bhupinder Pal Singh Chahal, Pravesh Soti. © 2026. 20 pages.
K. Sasikala, Ritu Dahiya, P. Selvakumar, P. Sudheer, Kamal Kumar Rajagopalan, T. C. Manjunath, Mohit Sharma. © 2026. 28 pages.
Body Bottom