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Fate of Allochthonous Dissolved Organic Carbon in Lakes: A Quantitative Approach

机译:湖泊中异源溶解有机碳的命运:一种定量方法

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摘要

Inputs of dissolved organic carbon (DOC) to lakes derived from the surrounding landscape can be stored, mineralized or passed to downstream ecosystems. The balance among these OC fates depends on a suite of physical, chemical, and biological processes within the lake, as well as the degree of recalcintrance of the allochthonous DOC load. The relative importance of these processes has not been well quantified due to the complex nature of lakes, as well as challenges in scaling DOC degradation experiments under controlled conditions to the whole lake scale. We used a coupled hydrodynamic-water quality model to simulate broad ranges in lake area and DOC, two characteristics important to processing allochthonous carbon through their influences on lake temperature, mixing depth and hydrology. We calibrated the model to four lakes from the North Temperate Lakes Long Term Ecological Research site, and simulated an additional 12 ‘hypothetical’ lakes to fill the gradients in lake size and DOC concentration. For each lake, we tested several mineralization rates (range: 0.001 d−1 to 0.010 d−1) representative of the range found in the literature. We found that mineralization rates at the ecosystem scale were roughly half the values from laboratory experiments, due to relatively cool water temperatures and other lake-specific factors that influence water temperature and hydrologic residence time. Results from simulations indicated that the fate of allochthonous DOC was controlled primarily by the mineralization rate and the hydrologic residence time. Lakes with residence times <1 year exported approximately 60% of the DOC, whereas lakes with residence times >6 years mineralized approximately 60% of the DOC. DOC fate in lakes can be determined with a few relatively easily measured factors, such as lake morphometry, residence time, and temperature, assuming we know the recalcitrance of the DOC.
机译:溶解的有机碳(DOC)对来自周围景观的湖泊的输入可以被存储,矿化或传递到下游生态系统。这些OC命运之间的平衡取决于湖泊内的一系列物理,化学和生物过程,以及异源DOC负荷的拒斥程度。由于湖泊的复杂性质,以及在受控条件下将DOC降解实验扩展到整个湖泊规模的挑战,这些过程的相对重要性尚未得到很好的量化。我们使用了一个耦合的水动力水质模型来模拟湖区和DOC的宽范围,这两个特征是通过影响湖中温度,混合深度和水文学而对处理异源碳很重要的两个特征。我们将模型校准到了北温带湖泊长期生态研究站点的四个湖泊,并模拟了另外12个“假设的”湖泊,以填补湖泊大小和DOC浓度的梯度。对于每个湖泊,我们测试了代表文献中范围的几种矿化速率(范围:0.001 d -1 至0.010 d -1 )。我们发现,由于相对凉爽的水温和其他影响水温和水文停留时间的湖泊特有因素,生态系统规模的矿化率大约是实验室实验值的一半。模拟结果表明,异源DOC的命运主要受矿化速率和水文停留时间控制。停留时间小于1年的湖泊出口了约60%的DOC,而停留时间大于6年的湖泊则矿化了约60%的DOC。假设我们知道DOC的顽固性,可以通过一些相对容易测量的因素来确定湖泊中的DOC命运,例如湖泊的形态,停留时间和温度。

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