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首页> 外文期刊>Journal of Paleolimnology >A diatom dataset and diatom-salinity inference model for southeast Australian estuaries and coastal lakes
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A diatom dataset and diatom-salinity inference model for southeast Australian estuaries and coastal lakes

机译：澳大利亚东南部河口和沿海湖泊的硅藻数据集和硅藻盐度推断模型

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摘要

To quantify the relationship between diatom species assemblages and the water chemistry of southeast Australian estuaries and coastal lakes, a new dataset of 81 modern diatom samples and water chemistry data was created. Three hundred and ninety-nine species from 53 genera were identified in 36 samples from 32 coastal water bodies in eastern Tasmania and 45 samples from 13 coastal water bodies in southern Victoria. Multivariate statistical analyses revealed that the sampling sites were primarily distributed along salinity and nutrient gradients, and that salinity, nitrate + nitrite, phosphate and turbidity explained independent portions of variance in the diatom data. Species salinity optima and tolerances were determined and a diatom-salinity inference model (WAinv r 2 = 0.72, r 2jack = 0.58, RMSEP = 0.09 log ppt) was developed. This new information on diatom species’ salinity preferences provides a useful tool for quantitatively reconstructing salinity changes over time from diatom microfossils preserved in the sediments of a range of estuaries and coastal lakes in southeast Australia. This is valuable for studies investigating long-term human impacts and climate change in the region.
机译：为了量化硅藻物种组成与澳大利亚东南部河口和沿海湖泊水化学之间的关系，创建了一个包含81个现代硅藻样品和水化学数据的新数据集。在塔斯马尼亚州东部的32个沿海水体的36个样本和维多利亚州南部的13个沿海水体的45个样本中，鉴定出53个属的399种。多变量统计分析表明，采样点主要沿盐度和养分梯度分布，盐度，硝酸盐+亚硝酸盐，磷酸盐和浊度解释了硅藻数据中独立的方差部分。确定了物种的盐度最佳值和公差，并开发了硅藻盐度推断模型（WAinv r 2 = 0.72，r 2 jack = 0.58，RMSEP = 0.09 log ppt）。有关硅藻物种盐度偏好的新信息提供了一种有用的工具，可以从保存在澳大利亚东南部一系列河口和沿海湖泊沉积物中的硅藻微化石定量重建盐度随时间的变化。这对于调查该地区的长期人类影响和气候变化的研究非常有价值。

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