Development of a Training Set of Contemporary Salt-Marsh Foraminifera for Late Holocene Sea- Level Reconstructions in southeastern Australia

Q1 Social Sciences Open Quaternary Pub Date : 2021-06-30 DOI:10.5334/oq.93
Sophie Williams, E. Garrett, P. Moss, R. Bartlett, R. Gehrels
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引用次数: 7

Abstract

We collected contemporary foraminiferal training sets from two salt marshes to enable more precise and accurate proxy historical sea-level reconstructions from southeastern Australia. Combined with an existing training set from Tasmania, this new regional set consists of 112 samples and 16 species of foraminifera, of which 13 are agglutinated. Cluster analyses group the regional training set into a high–elevation cluster, dominated by Trochamminita salsa, a mid–elevation cluster, dominated by Entzia macrescens and Trochammina inflata, and a mid–low elevation cluster dominated by Miliammina fusca and tidal-flat species. We develop transfer functions using local and regional training sets and assess their performance. Our resulting site-specific and chosen regional models are capable of predicting sea level with decimetre-scale precision (95% confidence intervals of 0.12–0.22 m). These results are comparable to other examples from around the world. When developing regional training sets, we advocate that the similarity in the environmental settings (particularly salinity) should be assessed as an alternative way of grouping sites, rather than simply using spatial proximity. We compare our findings with global results and conclude that salt marshes along microtidal coasts yield models with the lowest vertical uncertainties. Studies with the lowest uncertainties are located in the western Pacific and the western Atlantic, whereas those from the eastern Atlantic generally have larger tidal ranges and carry larger vertical uncertainties. Our models expand the existing region available for sea-level reconstruction and can be used to generate new late Holocene sea-level reconstructions across southeastern Australia.
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澳大利亚东南部晚全新世海平面重建用当代盐沼有孔虫训练集的建立
我们从两个盐沼收集了当代有孔虫训练集,以实现澳大利亚东南部更精确和准确的历史海平面重建。结合塔斯马尼亚州现有的训练集,这个新的区域集由112个样本和16种有孔虫组成,其中13种是凝集的。聚类分析将区域训练集分为一个高海拔集群,以Trochamminta salsa为主,一个中海拔集群,由Entzia macrescens和Trochammina inflata为主,以及一个中低海拔集群,主要由Miliamina fusca和潮坪物种为主。我们利用当地和区域培训集开发转移职能,并评估其绩效。我们得到的特定地点和选定的区域模型能够以分米尺度的精度预测海平面(95%置信区间为0.12–0.22 m)。这些结果与世界各地的其他例子相当。在开发区域培训集时,我们主张应评估环境环境(特别是盐度)的相似性,将其作为分组地点的替代方式,而不是简单地使用空间接近度。我们将我们的发现与全球结果进行了比较,得出的结论是,微潮海岸的盐沼产生的垂直不确定性最低的模型。不确定性最低的研究位于西太平洋和西大西洋,而来自东大西洋的研究通常具有较大的潮差和较大的垂直不确定性。我们的模型扩展了可用于海平面重建的现有区域,并可用于在澳大利亚东南部生成新的全新世晚期海平面重建。
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来源期刊
Open Quaternary
Open Quaternary Social Sciences-Archeology
CiteScore
2.90
自引率
0.00%
发文量
10
审稿时长
19 weeks
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