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논문 기본 정보

자료유형
학술저널
저자정보
공학양 (국립환경과학원) 박성애 (국립환경과학원) 심규영 (국립환경과학원) 김태규 (국립습지센터) 이재석 (건국대학교) 서상욱 (국립농업과학원)
저널정보
한국기후변화학회 한국기후변화학회지 Journal of Climate Change Research Vol.7 No.4
발행연도
2016.12
수록면
397 - 405 (9page)
DOI
10.15531/ksccr.2016.7.4.397

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For better understand of the soil respiration characteristic in ecosystem, it is necessary to accurately determine the daily, monthly and seasonal CO₂ flux related to various environmental factors. In general, soil respiration is being measured on a sunny day. But soil respiration is known to be affected by soil temperature and soil moisture content. In case of forestry, changes in soil moisture content are entirely dependent on rainfall. If we calculated the monthly soil respiration measured based on sunny days data only, it could be a factor that loses credibility soil respiration. On this study, we measured soil respiration on Pinus koraiensis plantation at Mt. Taehwa of Gwangju, Gyeonggi-do on sunny and rainy days in 2012, using Automatic Open-Closed Chamber system (AOCC) and portable CO₂ analyzer (GMP343). Then we computed the regression equations using sunny days data, precipitation less than 10 mm data, and precipitation over 10 mm data. At first, there were no significant differences in observed data and computed data. But less than 10 mm precipitation, computed data was 26.5% lower than observed data. Precipitation over 10 mm, on the other hand, the former was 29.3% higher than the latter. In each case, it showed significant differences between observed and computed data (p<0.05). So if we computed regression equation using soil respiration measured sunny days only, about 30% of annual soil respiration could be overestimated. Through further study, we suggest the subdivision and computation of regression equation on the basis of the rainfall intensity.

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ABSTRACT
1. 서론
2. 재료 및 방법
3. 결과 및 고찰
4. 결론
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UCI(KEPA) : I410-ECN-0101-2017-453-001975700