CAJ | 학술논문

利用生物地球化学模犁Forest-DNDC模拟气候变化对贡嘎山亚高山暗针叶林土壤温室气体的释放的影响.以位于贡嘎山东坡海拔3 000 m的峨眉冷杉(Abies fabri)中龄林为研究对象,以1999-2006年8年的日气候数据进行平均得到的日平均最高温度、日平均最低温度和日平均降水总最作为基线(Base)气候情景,另外设置了温度+2℃(升)、温度.2℃(T-)、降水量+20%(P+)、降水量-20%(P-)、温度十2℃同时降水量+20%(T+P+)、温度-2℃同时降水量-20%(T-P-)、温度+2℃同时降水量-20%(T+P-)、温度-2℃同时降水量+20%(T-P+)8种气候变化情景.结果显示:贡嘎山峨眉冷杉林土壤CO_2释放随着温度增加而增加,土壤N_2O释放对降水量改变敏感,而土壤NO的释放对温度和降水的改变均比较敏感,二者表现为协同作用.温度+2℃同时降水量+20%(升P+)情景下土壤CO_2释放最高,高于基线情景的36.08%;温度-2℃同时降水量+20%(T-P+)情景下土壤CO_2释放最低,低于基线情景的36.89%.土壤N_2O释放随着降水量的增加而升高,随着降水量减少而降低;温度和降水最同时增加时土壤NO释放均高于单一增加温度或降水量情景,而温度和降水量同时降低时土壤NO释放均低于单一降低温度或降水量情景.
이용생물지구화학모리Forest-DNDC모의기후변화대공알산아고산암침협림토양온실기체적석방적영향.이위우공알산동파해발3 000 m적아미랭삼(Abies fabri)중령림위연구대상,이1999-2006년8년적일기후수거진행평균득도적일평균최고온도、일평균최저온도화일평균강수총최작위기선(Base)기후정경,령외설치료온도+2℃(승)、온도.2℃(T-)、강수량+20%(P+)、강수량-20%(P-)、온도십2℃동시강수량+20%(T+P+)、온도-2℃동시강수량-20%(T-P-)、온도+2℃동시강수량-20%(T+P-)、온도-2℃동시강수량+20%(T-P+)8충기후변화정경.결과현시:공알산아미랭삼림토양CO_2석방수착온도증가이증가,토양N_2O석방대강수량개변민감,이토양NO적석방대온도화강수적개변균비교민감,이자표현위협동작용.온도+2℃동시강수량+20%(승P+)정경하토양CO_2석방최고,고우기선정경적36.08%;온도-2℃동시강수량+20%(T-P+)정경하토양CO_2석방최저,저우기선정경적36.89%.토양N_2O석방수착강수량적증가이승고,수착강수량감소이강저;온도화강수최동시증가시토양NO석방균고우단일증가온도혹강수량정경,이온도화강수량동시강저시토양NO석방균저우단일강저온도혹강수량정경.
The biogeochemical Forest-DNDC model was used to derive estimates of the effects of climate change on soil greenhouse gas emissions in the subalpine dark coniferous forest ecosystem of Gongga Mountain. The subalpine dark coniferous forest is middle age Abies fabri forest which is located 3 000 m altitude on the eastern slope of Gongga Mountain. Daily average maximum and minimum air temperature, daily average sum of precipitation which calculated from 8-year dataset each today's climate from 1999 to 2006 were assumed as the base scenario. The following were designed as 8 different climate change scenarios: 2 ℃ increase(T+) and decrease(T-) in daily air temperature; 20% increase(P+) and decrease(P-) in daily precipitation; 2 ℃ increase in temperature and 20% increase in precipitation(T+P+); 2 ℃ decrease in temperature and 20% decrease in precipitation(T-P-); 2 ℃ increase in temperature and 20% decrease in precipitation(T+P-); 2 ℃ decrease in temperature and 20% increase in precipitation(T-P+). The simulated results showed that soil CO_2 emissions were relatively sensitive to changes in temperature(T), while N_2O emissions were more sensitive to precipitation(P) changes and NO emissions were found to be sensitive to both temperature and precipitation changes within the ranges of observed climate variability. The largest positive and negative responses of soil CO_2 emissions to climate change occurred under T+P+ scenario(36.08% higher than that of the base scenario) and T-P+ scenario(36.89% lower than that of the base scenario). Soil N_2O emissions increased under elevated daily precipitation and decreased under reduced daily precipitation. Increase in both air temperature and precipitation resulted in a greater magnitude of soil NO emissions than the individual increase in either air temperature or precipitation alone. And decrease in both air temperature and precipitation resulted in a lower magnitude of soil NO emissions than the individual decrease in either air temperature or precipitation alone.