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Sediment accumulation rates in subarctic lakes: insights into age-depth modeling from 22 dated lake records from the Northwest Territories, Canada.

机译:北极湖中的沉积物累积速率:加拿大西北地区22条有日期的湖泊记录对年龄深度建模的见解。

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摘要

Age-depth modeling using Bayesian statistics requires well-informed prior information about the behavior of sediment accumulation. Here we present average sediment accumulation rates (represented as deposition times, DT, in yr/cm) for lakes in an Arctic setting, and we examine the variability across space (intra- and inter-lake) and time (late Holocene). The dataset includes over 100 radiocarbon dates, primarily on bulk sediment, from 22 sediment cores obtained from 18 lakes spanning the boreal to tundra ecotone gradients in subarctic Canada. There are four to twenty-five radiocarbon dates per core, depending on the length and character of the sediment records. Deposition times were calculated at 100-year intervals from age-depth models constructed using the ‘classical’ age-depth modeling software Clam. Lakes in boreal settings have the most rapid accumulation (mean DT 20 ± 10 years), whereas lakes in tundra settings accumulate at moderate (mean DT 70 ± 10 years) to very slow rates, (>100 yr/cm). Many of the age-depth models demonstrate fluctuations in accumulation that coincide with lake evolution and post-glacial climate change. Ten of our sediment cores yielded sediments as old as c. 9,000 cal BP (BP = years before AD 1950). From between c. 9,000 cal BP and c. 6,000 cal BP, sediment accumulation was relatively rapid (DT of 20 to 60 yr/cm). Accumulation slowed between c. 5,500 and c. 4,000 cal BP as vegetation expanded northward in response to warming. A short period of rapid accumulation occurred near 1,200 cal BP at three lakes. Our research will help inform priors in Bayesian age modeling.
机译:使用贝叶斯统计数据进行年龄深度建模需要有关沉积物堆积行为的消息灵通的先验信息。在这里,我们介绍了北极环境中湖泊的平均沉积物沉积速率(表示为沉积时间,DT,以年/厘米为单位),并研究了整个空间(湖内和湖间)和时间(晚全新世)的变化性。该数据集包括100多个放射性碳数据,这些数据主要来自散装沉积物,来自22个沉积物岩心,这些岩心来自18个湖泊,横跨加拿大亚北极的寒带-苔原过渡带。每个岩心有4至25个放射性碳数据,具体取决于沉积物记录的长度和特征。根据使用“经典”年龄深度建模软件Clam构建的年龄深度模型,以100年为间隔计算沉积时间。寒带地区的湖泊积累最快(平均DT 20±10年),而苔原地区的湖泊以中等速率(平均DT 70±10年)积累到非常慢的速率(> 100 yr / cm)。许多年龄深度模型都显示出与湖泊演变和冰川后气候变化相吻合的蓄积波动。我们的十个沉积物核心产生的沉积物年龄与c一样长。 9,000 cal BP(BP = AD 1950之前的年)。从之间c。 9,000 cal BP和c。 6,000 cal BP,沉积物积累相对较快(DT为20至60 yr / cm)。两次之间的积累减慢了。 5,500和c。随着植被向北扩展,向北扩展了4,000 cal BP。在三个湖泊的1200 cal BP附近发生了短暂的快速堆积。我们的研究将有助于为贝叶斯年龄建模提供先验信息。

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