首页> 外文期刊>Hydrobiologia >An evaluation of the influence of water depth and river inflow on quantitative Cladocera-based temperature and lake level inferences in a shallow boreal lake. (Special Issue: Cladocera as indicators of environmental change.)
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An evaluation of the influence of water depth and river inflow on quantitative Cladocera-based temperature and lake level inferences in a shallow boreal lake. (Special Issue: Cladocera as indicators of environmental change.)

机译:评价浅水北部湖泊中水深和河流入流对基于克拉多拉的定量温度和湖泊水位推断的影响。 (特刊:克拉多拉作为环境变化的指标。)

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Hydrological parameters can potentially have an overwhelming influence on sedimentary assemblages of Cladocera at certain sampling sites that can cause problems for palaeoenvironmental reconstructions. We applied a previously developed Cladocera-based inference model of water depth and a mean July air temperature transfer function developed in this study to a surface sediment dataset of fossil Cladocera from a lake in eastern Finland aiming to investigate the influence of stream flow and water depth on reconstruction results. The developed temperature-inference model, using the weighted averaging-partial least squares technique, had relatively favourable performance statistics suggesting that it is valid in means of performing temperature estimations. When the temperature model was applied to the intralake samples, the lotic samples had inferred values mostly within the model's prediction error and only one lotic sample showed an underestimated temperature. Samples taken from depths over ~3 m inferred generally underestimated temperatures, although most of the values were within the model's prediction error. The water depth reconstructions correlated significantly with the measured water depth, but the shallowest samples and most of the lotic samples yielded overestimated inferred values and the samples taken from depths >5 m showed underestimated values. In both reconstruction sets, the inferred values were underestimated in samples taken from deeper sites. Based on the present results, it may be recommendable that downcore sediment samples should be taken from intermediate depths, where also the diversity is higher, and deepest sites and inflows should be avoided. However, more research is needed to validate these results in a larger geographical context.Digital Object Identifier http://dx.doi.org/10.1007/s10750-011-0801-6
机译:水文参数可能会对某些采样点的克拉科德拉沉积组合产生压倒性影响,这可能会导致古环境重建的问题。我们将先前开发的基于克拉多拉的水深推断模型和本研究中开发的平均七月气温传递函数应用于芬兰东部一个湖泊的克拉多拉化石的表面沉积物数据集,旨在研究水流和水深的影响关于重建结果。使用加权平均偏最小二乘技术开发的温度推断模型具有相对较好的性能统计数据,表明该模型在执行温度估算中是有效的。当将温度模型应用于湖内样品时,该乳液样品的推断值大部分在该模型的预测误差范围内,并且只有一个乳液样品的温度被低估。尽管大多数值都在模型的预测误差范围内,但从约3 m以上的深度采集的样品通常会低估温度。水深重构与测得的水深显着相关,但是最浅的样本和大多数洗剂样本的推断值被高估,而从> 5 m深度获取的样本则被低估。在这两个重建集中,从较深地点采集的样本中的推断值均被低估了。根据目前的结果,建议下层沉积物样本应取自中间深度,那里的多样性也较高,应避免最深处和流入。但是,需要进行更多的研究才能在更大的地理环境中验证这些结果。数字对象标识符http://dx.doi.org/10.1007/s10750-011-0801-6

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