A Tool to Assess the Impact of Forest Land Expansion on Greenhouse Gas Sequestration and Emissions
Abstract
The emergence of carbon trading mechanisms is increasing the need for transparent, reproducible, and policy-relevant tools to quantify carbon stock changes in the forest sector. In this context, this study presents an Excel-based carbon calculation tool developed in accordance with IPCC principles for estimating carbon stock changes within the LULUCF sector. The tool supports scenario-based assessments of land-use change and afforestation planning using readily available spatial and statistical inputs and enables evaluation of the potential impacts of legislative initiatives on carbon sequestration from afforestation of non-forest land, serving as an analytical instrument for policy formulation, legislative decision-making, and scientific analysis of forest cover expansion.To test the applicability of the tool, afforestation scenarios were developed for Jonava municipality (944 km²), Lithuania, using GIS-based identification of suitable areas. Twocontrasting cases were applied: afforestation limited by current land-use regulations and an extended scenario including drainage bund areas. The regulation-aligned case identified 2,862 ha suitable for afforestation, while the extended case increased the afforestable area to 20,189 ha, raising potential forest cover from 41.1% to 62.6%.When processed with the Excel-based IPCC-consistent tool, the extended scenario demonstrated a substantially higher carbon sequestration potential, with up to 14.1 million tons of additional CO₂ equivalent over a 50-year period – approximately six times the annual sequestration estimated under the regulation-aligned scenario. These results demonstrate the tool’s capacity to quantify long-term carbon stock changes under contrasting land-use assumptions, supporting its use for scenario testing, land-use planning, and carbon accounting.
Fields of Study & Subjects
Forest Management and Policy
Forest ecology and management
Remote Sensing and LiDAR Applications
Publication details
- Journal / source
- EGU General Assembly Conference Abstracts
- Publication date
- 13 March 2026
- Language
- EN