Selected Aspects of Carbon Stock Assessment in Aboveground Biomass

0553573 - ÚVGZ 2023 RIV CH eng J - Journal Article
Pechanec, V. - Štěrbová, Lenka - Purkyt, Jan - Prokopová, Marcela - Včeláková, Renata - Cudlín, Ondřej - Vyvlečka, P. - Cienciala, Emil - Cudlín, Pavel
Selected Aspects of Carbon Stock Assessment in Aboveground Biomass.
Land. Roč. 11, č. 1 (2022), č. článku 66. E-ISSN 2073-445X
R&D Projects: GA MŠMT(CZ) LM2018123; GA MŠMT(CZ) EF16_019/0000797; GA MŠMT(CZ) LTC18069
Institutional support: RVO:86652079
Keywords : multiple ecosystem services * mitigate climate-change * soil carbon * land-cover * woody biomass * norway spruce * sequestration * forests * management * conservation * carbon stock * degree of data detail * different space resolution * rasterization
OECD category: Ecology
Impact factor: 3.9, year: 2022
Method of publishing: Open access
https://www.mdpi.com/2073-445X/11/1/66

Given the significance of national carbon inventories, the importance of large-scale estimates of carbon stocks is increasing. Accurate biomass estimates are essential for tracking changes in the carbon stock through repeated assessment of carbon stock, widely used for both vegetation and soil, to estimate carbon sequestration. Objectives: The aim of our study was to determine the variability of several aspects of the carbon stock value when the input matrix was (1) expressed either as a vector or as a raster, (2) expressed as in local (1:10,000) or regional (1:100,000) scale data and (3) rasterized with different pixel sizes of 1, 10, 100, and 1000 m. Method: The look-up table method, where expert carbon content values are attached to the mapped landscape matrix. Results: Different formats of input matrix did not show fundamental differences with exceptions of the biggest raster of size 1000 m for the local level. At the regional level, no differences were notable. Conclusions: The results contribute to the specification of best practices for the evaluation of carbon storage as a mitigation measure, as well as the implementation of national carbon inventories.
Permanent Link: http://hdl.handle.net/11104/0330744