A testate amoebae transfer function from Sphagnum-dominated peatlands in the Lesser Khingan Mountains, NE China
A testate amoebae transfer function from Sphagnum-dominated peatlands in the Lesser Khingan Mountains, NE China
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DOI：
10.1007/s10933-015-9846-2
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发表时间：
2015-06
影响因子：
2.1
通讯作者：
Hongkai Li;Sheng-zhong Wang;Hongting Zhao;M. Wang
中科院分区：
文献类型：
--
作者：
Hongkai Li;Sheng-zhong Wang;Hongting Zhao;M. Wang
我们提出了一种用于建立古水文传递函数的遗态阿米巴训练集。在东北中国小兴安岭三个泥炭沼泽地采集了91个样品。冗余度分析表明，地下水位深度(DWT)和含水率(%含水率)是控制隐形阿米巴组合的主要因素。建立了预测这两个环境变量的传递函数。采用留一法交叉验证，水分含量和水分含量的均方根误差(RMSEP)分别为6.74和1.49%。我们对集群结构数据应用了一种更稳健的交叉验证方法--留一站法，性能最好的模型的RMSEP分别增加到6.90%和1.67%，但所有模型仍然具有预测能力。用新的统计方法检验了不均匀抽样的效果。在梯度的中间范围内的样本数量越多，产生的RMSEP值越小，而在光谱的极端潮湿和干燥端的样本产生的RMSEP值更小，因为在极端潮湿和干燥的一端，样本较少。我们的结果表明，该训练集是小兴安岭-中国地区古环境重建的一个潜在的重要工具。这将有助于了解该地区的气候变化，特别是过去的季风活动。
We present a testate amoebae training set for building a paleohydrology transfer function. Ninety-one samples were collected from threeSphagnumpeatlands in the Lesser Khingan Mountains, NE China. Redundancy analysis revealed that depth to the water table (DWT) and moisture content (% water) are the primary factors that control testate amoebae assemblages. Transfer functions for prediction of these two environmental variables were developed. The root mean square error (RMSEP) for DWT and moisture content were 6.74 cm and 1.49 %, respectively, assessed with “leave-one-out” cross validation. We applied a more robust cross validation method for clustered structure data, “leave-one-site-out,” and the RMSEP of the best performance model increased to 6.90 cm and 1.67 %, but all models still had predictive power. The effect of uneven sampling was tested using new statistical approaches. Greater numbers of samples in the middle range of the gradient yielded smaller RMSEP values than did samples from the extreme wet and dry ends of the spectrum, where there were fewer samples. Our results indicate this training set is a potentially important tool for paleoenvironmental reconstruction in the Lesser Khingan Mountains, NE China. It will contribute to understanding climate change, particularly past monsoon activity, in this region.