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首页> 外文期刊>Journal of Paleolimnology >An ostracod-conductivity transfer function for Tibetan lakes
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An ostracod-conductivity transfer function for Tibetan lakes

机译：藏族湖泊的线虫电导传递函数

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摘要

About 145 freshwater to hypersaline lakes of the eastern Tibetan Plateau were investigated to develop a transfer function for quantitative palaeoenvironmental reconstructions using ostracods. A total of 100 lakes provided sufficient numbers of ostracod shells. Multivariate statistical techniques were used to analyse the influence of a number of environmental variables on the distributions of surface sediment ostracod assemblages. Of 23 variables determined for each site, 19 were included in the statistical analysis. Lake water electrical conductivity (8.2%), Ca% (7.6%) and Fe% (4.8%, ion concentrations as % of the cations) explained the greatest amounts of variation in the distribution of ostracod taxa among the 100 lakes. Electrical conductivity optima and tolerances were calculated for abundant taxa. A transfer function, based on weighted averaging partial least squares regression (WA-PLS), was developed for electrical conductivity (r 2 = 0.71, root-mean-square-error of prediction [RMSEP] = 0.35 [12.4% of gradient length], maximum bias = 0.64 [22.4% of gradient length], as assessed by leave-one-out cross-validation) based on 96 lakes. Our results show that ostracods provide reliable estimates of electrical conductivity and can be used for quantitative palaeoenvironmental reconstructions similarly to more commonly used diatom, chironomid or pollen data.
机译：研究了大约145个淡水到青藏高原东部的高盐湖，以开发使用兽脚类动物定量古环境重建的传递函数。总共100个湖泊提供了足够数量的壳。多变量统计技术被用来分析许多环境变量对地表沉积物类成虫组合分布的影响。在每个站点确定的23个变量中，统计分析中包括19个。湖泊水的电导率（8.2％），钙的百分比（7.6％）和铁的百分比（4.8％，离子浓度以阳离子的百分比表示）解释了100个湖泊中among鱼类群分布的最大变化。计算了丰富类群的电导率最佳值和容差。针对电导率，开发了基于加权平均偏最小二乘回归（WA-PLS）的传递函数（r 2 = 0.71，预测的均方根误差[RMSEP] = 0.35 [12.4％梯度长度]，最大偏差= 0.64 [梯度长度的22.4％，通过留一法交叉验证进行了评估），基于96个湖泊。我们的研究结果表明，与更常用的硅藻，手足类或花粉数据相似，类鱼纲可提供可靠的电导率估计值，并可用于定量古环境重建。

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