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首页> 外文期刊>Geografiska Annaler, Series A. Physical Geography >LICHENOMETRIC DATING OF LITTLE ICE AGE GLACIER MORAINES USING EXPLICIT DEMOGRAPHIC MODELS OF LICHEN COLONIZATION, GROWTH, AND SURVIVAL
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LICHENOMETRIC DATING OF LITTLE ICE AGE GLACIER MORAINES USING EXPLICIT DEMOGRAPHIC MODELS OF LICHEN COLONIZATION, GROWTH, AND SURVIVAL

机译:利用显着人口分布模式(李氏定殖,生长和存活)的小冰期滑鼠进行化学计量学定年

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摘要

Contemporary variants of the lichenometric dating technique depend upon statistical correlations between surface age and maximum lichen sizes, rather than an understanding of lichen biology. To date three terminal moraines of an Alaskan glacier, we used a new lichenometric technique in which surfaces are dated by comparing lichen population distributions with the predictions of ecological demography models with explicit rules for the biological processes that govern lichen populations: colonization, growth, and survival. These rules were inferred from size-frequency distributions of lichens on calibration surfaces, but could be taken directly from biological studies. Working with two lichen taxa, we used multinomial-based likelihood functions to compare model predictions with measured lichen populations, using only the thalli in the largest 25% of the size distribution. Joint likelihoods that combine the results of both species estimated moraine ages of ad 1938, 1917, and 1816. Ages predicted by Rhizocarpon alone were older than those of P. pubescens. Predicted ages are geologically plausible, and reveal glacier terminus retreat after a Little Ice Age maximum advance around ad 1816, with accelerated retreat starting in the early to mid twentieth century. Importantly, our technique permits calculation of prediction and model uncertainty. We attribute large confidence intervals for some dates to the use of the biologically variable Rhizocarpon subgenus, small sample sizes, and high inferred lichen mortality. We also suggest the need for improvement in demographic models. A primary advantage of our technique is that a process-based approach to lichenometry will allow direct incorporation of ongoing advances in lichen biology.
机译:地衣测年技术的当代变体取决于表面年龄和最大地衣大小之间的统计相关性,而不是对地衣生物学的理解。迄今为止,阿拉斯加冰川的三个终端莫拉尼峰,我们使用了一种新的地衣测量技术,该方法通过比较地衣种群分布与生态人口学模型的预测以及确定地衣种群生物过程的明确规则来确定地表的年代:定居,生长和繁殖。生存。这些规则是根据校准表面上地衣的大小-频率分布推断出的,但可以直接从生物学研究中得出。与两个地衣类群一起,我们使用基于多项式的似然函数将模型预测与测得的地衣种群进行比较,仅使用最大分布面积的25%的塔利。结合这两个物种的结果的联合似然估计的冰m年龄分别为1938年,1917年和1816年。仅根瘤菌预测的年龄比耻骨假单胞菌年龄大。预测的年龄在地质上是合理的,并在1816年左右的小冰河世纪最大进展后揭示了冰川终点的退缩,加速退缩始于20世纪中叶。重要的是,我们的技术允许计算预测和模型不确定性。我们将某些日期的大置信区间归因于生物学上可变的根皮果亚属的使用,小样本量和较高的推断地衣死亡率。我们还建议需要改善人口模型。我们技术的主要优势在于,基于过程的地衣计量方法将直接整合正在进行中的地衣生物学进展。

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