Predictors for digital mapping of forest soil organic carbon stocks in different types of landscape

Luboš Borůvka, Radim Vašát, Vít Šrámek, Kateřina Neudertová Hellebrandová, Věra Fadrhonsová, Milan Sáňka, Lenka Pavlů, Ondřej Sáňka, Oldřich Vacek, Karel Němeček, Shahin Nozari and Vincent Yaw Oppong Sarkodie
Additional contact information
Luboš Borůvka: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic
Radim Vašát: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic
Vít Šrámek: Forestry and Game Management Research Institute, Jíloviště-Strnady, Czech Republic
Kateřina Neudertová Hellebrandová: Forestry and Game Management Research Institute, Jíloviště-Strnady, Czech Republic
Věra Fadrhonsová: Forestry and Game Management Research Institute, Jíloviště-Strnady, Czech Republic
Milan Sáňka: RECETOX, Masaryk University, Brno, Czech Republic
Lenka Pavlů: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic
Ondřej Sáňka: RECETOX, Masaryk University, Brno, Czech Republic
Oldřich Vacek: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic
Karel Němeček: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic
Shahin Nozari: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic
Vincent Yaw Oppong Sarkodie: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic

Soil and Water Research, 2022, vol. 17, issue 2, 69-79

Abstract: Forest soils have a high potential to store carbon and thus mitigate climate change. The information on spatial distribution of soil organic carbon (SOC) stocks is thus very important. This study aims to analyse the importance of environmental predictors for forest SOC stock prediction at the regional and national scale in the Czech Republic. A big database of forest soil data for more than 7 000 sites was compiled from several surveys. SOC stocks were calculated from SOC content and bulk density for the topsoil mineral layer 0-30 cm. Spatial prediction models were developed separately for individual natural forest areas and for four subsets with different altitude range, using random forest method. The importance of environmental predictors in the models strongly differs between regions and altitudes. At lower altitudes, forest edaphic series and soil classes are strong predictors, while at higher altitudes the predictors related to topography become more important. The importance of soil classes depends on the pedodiversity level and on the difference in SOC stock between the classes. The contribution of forest types as predictors is limited when one (mostly coniferous) type dominates. Better prediction results can be obtained in smaller, but consistent regions, like some natural forest areas.

Keywords: carbon stocks; digital soil mapping; environmental covariates; random forests; spatial distribution; terrain attributes (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://swr.agriculturejournals.cz/doi/10.17221/4/2022-SWR.html (text/html)
http://swr.agriculturejournals.cz/doi/10.17221/4/2022-SWR.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlswr:v:17:y:2022:i:2:id:4-2022-swr

DOI: 10.17221/4/2022-SWR

Access Statistics for this article

Soil and Water Research is currently edited by Ing. Markéta Knížková, (Executive Editor)

More articles in Soil and Water Research from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().