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首页> 美国卫生研究院文献>PLoS Clinical Trials >Temperature sensitivity patterns of carbon and nitrogen processes in decomposition of boreal organic soils – Quantification in different compounds and molecule sizes based on a multifactorial experiment
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Temperature sensitivity patterns of carbon and nitrogen processes in decomposition of boreal organic soils – Quantification in different compounds and molecule sizes based on a multifactorial experiment

机译：北方有机土壤分解过程中碳和氮过程的温度敏感性模式–基于多因素实验的不同化合物和分子大小的定量

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Climate warming and organic matter decomposition are connected in a recursive manner; this recursion can be described by temperature sensitivity. We conducted a multifactorial laboratory experiment to quantify the temperature sensitivity of organic carbon (C) and nitrogen (N) decomposition processes of common boreal organic soils. We incubated 36 mor and 36 slightly decomposed Carex-Sphagnum peat samples in a constant moisture and ambient temperature for 6 months. The experiment included three temperature and two moisture levels and two food web manipulations (samples with and without fungivore enchytraeid worms). We determined the release of carbon dioxide (CO2) and dissolved organic carbon (DOC) in seven molecular size classes together with ammonium N and dissolved organic N in low molecular weight and high molecular weight fractions. The temperature sensitivity function Q10 was fit to the data. The C and N release rate was almost an order of magnitude higher in mor than in peat. Soil fauna increased the temperature sensitivity of C release. Soil fauna played a key role in N release; when fauna was absent in peat, the N release was ceased. The wide range of the studied C and N compounds and treatments (68 Q10 datasets) allowed us to recognize five different temperature sensitivity patterns. The most common pattern (37 out of 68) was a positive upwards temperature response, which was observed for CO2 and DOC release. A negative downward pattern was observed for extractable organic nitrogen and microbial C. Sixteen temperature sensitivity patterns represented a mixed type, where the Q10function was not applicable, as this does not allow changing the sign storage change rate with increasing or decreasing temperature. The mixed pattern was typically connected to intermediate decomposition products, where input and output fluxes with different temperature sensitivities may simultaneously change the storage. Mixed type was typical for N processes. Our results provide useful parameterization for ecosystem models that describe the feedback loop between climate warming, organic matter decomposition, and productivity of N-limited vegetation.
机译：气候变暖和有机物分解以递归方式联系在一起；这种递归可以用温度敏感性来描述。我们进行了一项多因素实验室实验，以量化常见北方有机土壤中有机碳（C）和氮（N）分解过程的温度敏感性。我们在恒定的湿度和环境温度下孵育了36个mor和36个轻微分解的Carex-Sphagnum泥炭样品6个月。该实验包括三个温度和两个湿度水平以及两个食物网操作（带有和不带有真菌性肠蠕虫的样品）。我们确定了七个分子大小类别的二氧化碳（CO2）和溶解的有机碳（DOC）以及低分子量和高分子量馏分中的铵态氮和溶解性有机氮的释放。温度敏感性函数Q10符合数据。在土壤中，碳和氮的释放速率几乎比泥炭高出一个数量级。土壤动物增加了碳释放的温度敏感性。土壤动物群在氮释放中起关键作用。当泥炭缺乏动物区系时，N的释放就停止了。广泛研究的碳和氮化合物及处理方法（68个Q10数据集）使我们能够识别出五种不同的温度敏感性模式。最常见的模式（68个中的37个）是向上的正温度响应，观察到了CO2和DOC的释放。对于可萃取的有机氮和微生物C，观察到负的向下模式。十六种温度敏感模式表示混合类型，其中Q10功能不适用，因为这不允许随温度升高或降低而改变符号存储变化率。混合模式通常连接到中间分解产物，在中间分解产物中，具有不同温度敏感性的输入和输出通量可能会同时更改存储。混合类型是N个过程的典型代表。我们的结果为生态系统模型提供了有用的参数化，这些模型描述了气候变暖，有机物分解和N受限植被的生产力之间的反馈回路。

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