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Analysis of the Interactive Effects of Environmental Factors and Seasonal Variations on Soil Respiration in Quercus mongolica Forests

  • Jae-Ho Lee (Ecological Information Team, National Institute of Ecology) ;
  • Young-Ju Yu (Climate Change Response Team, Korea Agriculture Technology Promotion Agency) ;
  • Yongsu Kwon (Ecological Information Team, National Institute of Ecology) ;
  • Jae-Seok Lee (Department of Biological Sciences, Konkuk University)
  • Received : 2024.12.09
  • Accepted : 2024.12.17
  • Published : 2024.12.31

Abstract

This study investigated the seasonal variations and environmental factors influencing soil respiration in Quercus mongolica forests at three distinct sites in South Korea: Mt. Jeombongsan, Mt. Namsan, and Mt. Jirisan. Monthly soil respiration rates were measured from 2009 to 2010 using a closed chamber method, alongside assessments of soil temperature, moisture, and organic matter. Results revealed significant seasonal and spatial variability, with the highest respiration rates recorded during summer months. Soil temperature was identified as the primary driver of respiration, showing strong positive correlations across all sites (R2=0.64-0.88). The temperature sensitivity (Q10) values ranged from 2.7 at Mt. Namsan to 5.7 at Mt. Jeombongsan, underscoring the heightened vulnerability of cooler, high-altitude forests to warming. Soil moisture had a dual role, promoting respiration at moderate levels but inhibiting it under saturated conditions, particularly at Mt. Jirisan. Soil organic matter content exhibited an inverse relationship with respiration rates, indicating that substrate quality, rather than quantity, predominantly governs microbial activity. Plant-soil interactions, including root respiration and litterfall decomposition, further modulated respiration patterns, with site-specific differences reflecting variations in vegetation density and ecosystem structure. These findings highlight the complexity of soil carbon dynamics in temperate forests and the critical influence of environmental factors and plant-soil processes. The study provides essential insights for improving carbon cycling models and informs climate-resilient forest management strategies. Future research should prioritize long-term monitoring and experimental manipulations to better predict soil respiration under changing climatic conditions.

Keywords

Acknowledgement

This study is supported by the National Institute of Ecology funded (NIE-B-2024-010).

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