Journal article
Effect of Heavy Machine Traffic on Soil CO2 Concentration and Efflux in a Pinus koraiensis Thinning Stand
Forests, Vol.12(11), pp.1-15
2021
Abstract
Mechanized timber harvesting is cost efficient and highly productive. However, mechanized harvesting operations are often associated with several environmental problems, including soil compaction and disturbance. Soil compaction impedes air circulation between the soil and atmosphere, which in turn results in increased concentrations of CO2 within soil pores. In this study, we investigated the impact of forest machine traffic on soil conditions to determine soil CO2 efflux (Fc), and soil CO2 concentrations (Sc). Field measurements included soil bulk density (BD), soil temperature (ST), soil water content (SWC), Fc, and Sc over a 3-year period at a specific thinning operation site (Hwacheon-gun) in the Gangwon Province of Korea. To assess the soil impacts associated with machine traffic, we established four machine-treatment plots (MT) characterized by different geographical and traffic conditions. The results revealed that BD, Sc, and SWC increased significantly on the disturbed track areas (p < 0.05). Furthermore, reduced soil Fc values were measured on the soil-compacted (machine disturbed) tracks in comparison with undisturbed (control) areas. Variations in BD, SWC, and Sc were significantly different among the four MT plots. Additionally, in comparison with undisturbed areas, lower Fc and higher Sc values were obtained in compacted areas with high soil temperatures.
Details
- Title
- Effect of Heavy Machine Traffic on Soil CO2 Concentration and Efflux in a Pinus koraiensis Thinning Stand
- Authors
- Ikhyun Kim (Author) - Kangwon National UniversitySang-Kyun Han (Author) - Kangwon National UniversityMauricio Acuna (Author) - University of the Sunshine Coast, Queensland, Forest Research InstituteHeesung Woo (Author) - Kangwon National UniversityJae-Heun Oh (Author) - National Institute of Forest ScienceByoungkoo Choi (Author) - Kangwon National University
- Publication details
- Forests, Vol.12(11), pp.1-15
- Publisher
- MDPI AG
- Date published
- 2021
- DOI
- 10.3390/f12111497
- ISSN
- 1999-4907
- Copyright note
- Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
- Organisation Unit
- University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99586007902621
- Output Type
- Journal article
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