• 한국농림기상학회지
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• 제7권1호
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• pp.107-114
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• 2005

토양 호흡은 주요 육상 생태계의 탄소 순환을 이해하는데 중요한 성분 중 하나이다. 토양 호흡 관측에서 쳄버 방법은 가장 일반적인 방법이다. 다양한 토양 호흡쳄버 방법에 의해 이루어지는 관측 값들을 비교하기 위해서는, 측기의 특성에 따른 오차를 파악하는 것이 필요하다. 이를 위하여 온도 조절이 가능한 식물 환경 조절 시스템에서 네 개의 폐회로 역학 쳄버와 자동 개폐 쳄버를 비교하였다. 식물 환경 조절 시스템의 내부의 이산화탄소 농도의 변동과 토양 수분의 변동으로 어느 정도의 오차가 포함된 결과이지만, 실험을 통해 토양 온도와 이산화탄소 농도의 변화에 따른 대한 네 측기들의 반응 특성과 실내 비교 실험의 계획과 방법에 대한 중요한 교훈을 얻을 수 있었다.

• 한국기후변화학회지
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• 제7권4호
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• pp.397-405
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• 2016

For better understand of the soil respiration characteristic in ecosystem, it is necessary to accurately determine the daily, monthly and seasonal $CO_2$ 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 $CO_2$ 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.

• 한국농림기상학회지
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• 제7권1호
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• pp.57-65
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• 2005

토양은 리터의 축적, 분해, 뿌리호흡을 포함하는 토양호흡을 통해 많은 양의 탄소를 저장 또는 방출할 수 있다. 이러한 토양의 주요한 탄소 및 양분의 공급원은 낙엽낙지의 유입과 유입된 낙엽낙지의 분해이며 생태계로 돌아가는 영양의 약 60%가 낙엽에서 유래되는 것으로 알려져 있다. 본 연구의 목적은 천연자연림으로 잘 보존된 경기도 광릉시험림의 온대낙엽활엽수림의 리터 생산량과 분해속도가 토양호흡의 계절적 변 이에 미치는 영향을 파악하고 낙엽층과 토양호흡간의 관련성을 찾아 생태계에서의 탄소순환을 이해하기 위한 것이다. 광릉 낙엽활엽수림에서 2003년 생산된 리터의 총량은 1489 Cm/sup -2/ yr/sup -1/ 이었으며 조사지의 우점종인 졸참나무, 서어나무, 까치박달의 순수 낙엽의 총량은 1189 Cm/sup -2/ yr/sup -1/이었다. 낙엽의 분해율은 조사기간인 1년 동안 졸참나무는 24.2%(k = 0.28), 서어나 무는 25.7％(k = 0.30), 까치박달은 33.0%(k = 0.46)이었 다. AOCC를 이용한 연속적인 토양호흡 측정결과 연간 토양호흡량은 629.69 Cm/sup -2/ yr/sup -1/이었으며 이 중 리터 분해가 차지하는 비율은 약 5％인 309 Cm/sup -2/ yr/sup -1/이었다. 토양호흡의 동절기 최저값은 7.4±1.4g Cm/sup -2/ month/sup -1/ 이었으며 이 시기의 리터 분해속도도 0.8g Cm/sup -2/ month/sup -1/로 최저값을 나타내었다. 하절기에는 토양 호흡과 리터 분해속도 모두 증가하여 111.5 ± 16.2g Cm/sup -2/ month/sup -1/와 11.4g Cm/sup -2/ month/sup -1/로 최고값을 보였다. 토양호흡 중 리터 분해속도가 차지하는 비율은 식물 지하부의 생장이 활발해지는 5-6월에는 4.3%로 감소하였으며 리터의 생산량이 증가하는 11- 12월에는 23.5%로 증가하였다. 회귀분석결과 리터 분해속도와 토양호흡과는 r²= 0.63의 상관관계를 가지고 있었다.

• Journal of Ecology and Environment
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• 제42권2호
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• pp.77-84
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• 2018

Background: For understanding and evaluating a more realistic and accurate assessment of ecosystem carbon balance related with environmental change or difference, it is necessary to analyze the various interrelationships between soil respiration and environmental factors. However, the soil temperature is mainly used for gap filling and estimation of soil respiration (Rs) under environmental change. Under the fact that changes in precipitation patterns due to climate change are expected, the effects of soil moisture content (SMC) on soil respiration have not been well studied relative to soil temperature. In this study, we attempt to analyze relationship between precipitation and soil respiration in temperate deciduous broad-leaved forest for 2 years in Gwangneung. Results: The average soil temperature (Ts) measured at a depth of 5 cm during the full study period was $12.0^{\circ}C$. The minimum value for monthly Ts was $-0.4^{\circ}C$ in February 2015 and $2.0^{\circ}C$ in January 2016. The maximum monthly Ts was $23.6^{\circ}C$ in August in both years. In 2015, annual precipitation was 823.4 mm and it was 1003.8 mm in 2016. The amount of precipitation increased by 21.9% in 2016 compared to 2015, but in 2015, it rained for 8 days more than in 2016. In 2015, the pattern of low precipitation was continuously shown, and there was a long dry period as well as a period of concentrated precipitation in 2016. 473.7 mm of precipitation, which accounted for about 51.8% of the precipitation during study period, was concentrated during summer (June to August) in 2016. The maximum values of daily Rs in both years were observed on the day when precipitation of 20 mm or more. From this, the maximum Rs value in 2015 was $784.3mg\;CO_2\;m^{-2}\;h^{-1}$ in July when 26.8 mm of daily precipitation was measured. The maximum was $913.6mg\;CO_2\;m^{-2}\;h^{-1}$ in August in 2016, when 23.8 mm of daily precipitation was measured. Rs on a rainy day was 1.5~1.6 times higher than it without precipitation. Consequently, the annual Rs in 2016 was about 12% higher than it was in 2015. It was shown a result of a 14% increase in summer precipitation from 2015. Conclusions: In this study, it was concluded that the precipitation pattern has a great effect on soil respiration. We confirmed that short-term but intense precipitation suppressed soil respiration due to a rapid increase in soil moisture, while sustained and adequate precipitation activated Rs. In especially, it is very important role on Rs in potential activating period such as summer high temperature season. Therefore, the accuracy of the calculated values by functional equation can be improved by considering the precipitation in addition to the soil temperature applied as the main factor for long-term prediction of soil respiration. In addition to this, we believe that the accuracy can be further improved by introducing an estimation equation based on seasonal temperature and soil moisture.