温度和湿度对漠河多年冻土泥炭地碳排放的模拟效应

Xianwei Wang, Xiuzhen Li, Jiujun Lv, Zongmei Li
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引用次数: 0

摘要

泥炭地碳储量对全球变暖的响应是预测未来碳收支的主要不确定性。采用短期室内培养方法,模拟了土壤温度(5、10、15和20℃)和土壤湿度(0、30、60、100%WHC和完全水饱和)对漠河泥炭地土壤CO 2潜在排放的影响。早期泥炭碳矿化率大幅下降,20 d后趋于稳定,各试验点和处理的总碳矿化量在20.04 ~ 112.92 mg之间。碳矿化率随土壤深度的增加而降低,随温度的升高而增加,在相同温度下,所有处理的碳矿化率在60%WHC时达到最高。计算得到的q10值在1.878 ~ 2.181之间,随土壤深度和土壤湿度的变化而变化。C通量对湿度的敏感性取决于温度。土壤湿度和土壤深度对q10的影响不显著。我们建立了一个双室模型,以温度和湿度的乘函数来预测测量的CO 2排放量,该模型可以很好地预测C通量(r2 >0.888, P<0.001)。结果表明,漠河泥炭地对气候变化具有正反馈效应。有必要将这些响应纳入模型科学,它们可能代表泥炭地生态系统的潜在碳排放源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulating Effects of Temperature and Moisture on Carbon Emission of Permafrost Peatland in Mohe, China
The response of stores of carbon in peatland to global warming is a major uncertainty in predicting the future carbon budget. We used a short-term laboratory incubation to simulate effects on the potential CO 2 emission of peatland soil in Mohe, China under soil temperature (5, 10 15 and 20degC) and soil moisture (0, 30, 60, 100%WHC and completely water saturated). The rates of peat carbon mineralized decreased greatly in the earlier phase, but became stabile after 20 days and total carbon mineralization ranged 20.04 to 112.92 mg across sites and experiment treatments. Carbon mineralization rates decreased with soil depth, increased with temperature and reached highest rates at 60%WHC at the same temperature for all treatments. The calculated Q 10 values ranged from 1.878 to 2.181, varying with the soil depths and soil moisture. The sensitivity of C flux to moisture depend on temperature. However the Q 10 was not significantly affected by soil moisture and depth. We developed a two compartment model to predict the measured CO 2 emission as a multiplicative function of temperature and moisture and the model predicted C flux very well (R 2 >0.888, P<0.001). Our results indicate that the Mohe peatlands would lead to a positive feedback effect on climate change. It is necessary to include such responses in models science they might represent a potential C emission source to peatland ecosystem.
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