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Increasing dissimilarity of water chemical compositions in a warmer climate

机译:在温暖的气候下,水化学成分的差异越来越大

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摘要

Understanding variability patterns of biogeochemical conditions in water is a key issue for water management strategies. Here a unique homogeneous data set of 1041 Swedish boreal lakes, sampled during three lake inventories along an 8° latitudinal temperature gradient, revealed a systematic increase in the variability of the water chemical composition between lakes with increasing temperatures. The variability pattern was consistent on a spatial and temporal scale and became especially apparent for water chemical variables showing an in-lake biological process–driven seasonality, such as nitrogen, pH, silica, and organic carbon. The degree of dissimilarity in the chemical composition between lakes was well related to the duration of the main growing and runoff season (D_(T>0)), both on a spatial scale (R~2 = 0.57-0.79, P < 0.05) and a temporal scale (R~2 = 0.99, P < 0.05). It is suggested that D_(T>0) is a very suitable proxy to explain biogeochemical variability patterns between lakes. According to this study, a further temperature increase will result in an increased biogeochemical dissimilarity between lakes.
机译:了解水中生物地球化学条件的变化模式是水管理策略的关键问题。在这里,一个独特的均质数据集(1043个瑞典北方湖泊)是在三个湖泊清单上沿8°纬度温度梯度采样的,揭示了湖泊之间水化学成分的变化随着温度的升高而有系统地增加。变异性模式在空间和时间尺度上是一致的,并且对于水化学变量尤为明显,这些水化学变量显示了湖内生物过程驱动的季节性变化,例如氮,pH,二氧化硅和有机碳。湖泊之间化学成分的差异程度与主要生长期和径流季节的持续时间(D_(T> 0))密切相关,在空间尺度上均如此(R〜2 = 0.57-0.79,P <0.05)时间尺度(R〜2 = 0.99,P <0.05)。建议D_(T> 0)是解释湖泊之间生物地球化学变异性模式的非常合适的代理。根据这项研究,温度的进一步升高将导致湖泊之间生物地球化学差异的增加。

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