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The Influence of Basin Morphometry on the Regional Coherence of Patterns of Diatom-Inferred Salinity in Lakes of the Northern Great Plains (USA)

机译:盆地形态测量对大平原北部湖泊硅藻推断盐度模式区域相干性的影响(美国)

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摘要

Sedimentary diatom profiles from saline lakes are frequently used to reconstruct lakewater salinity as an indicator of drought. However, diatom-inferred salinity (DI-salinity) reconstructions from geographically proximal sites in the Great Plains (USA) have yielded disparate results. This study explores how physical changes in lake habitat resulting from drought may affect climate inferences from salinity reconstructions. Differences in relationships among drought, lake-level change, and diatom community structure over the last century were examined for three saline lakes in the northern Great Plains with dissimilar DI-salinity records. At each site, models were developed relating available planktic:benthic (P:B) habitat area to lake-level change, and models were compared with instrumental drought records and fossil diatoms to understand how drought conditions were recorded in sedimentary diatom assemblages. The degree to which DI-salinity tracked drought variation was affected by site-specific physical characteristics that influenced the relationship between lake-level change and P:B habitat zonation within each lake. Moon Lake showed the strongest correlation between drought and DI salinity, although this relationship was weaker during wetter conditions, as highstands resulted in a larger influx of benthic diatoms. At Coldwater Lake, a dual-basin system, P:B varied depending on lake level, which apparently reduced the correlation between DI-salinity and drought. At Lake Cochrane, the simplest and freshest of the three basins, the P:B of fossil diatoms was a better proxy for drought than DI-salinity. The integration of additional ecological characteristics into interpretations of paleoclimate records, particularly for biologically based proxies, may improve reconstructions of regional patterns of climate variation.
机译:来自盐湖的沉积硅藻剖面经常被用来重建湖水盐度,作为干旱的指标。然而,从美国大平原地区近端位置的硅藻推断盐度(DI盐度)重建产生了截然不同的结果。这项研究探索了干旱造成的湖泊栖息地物理变化如何影响盐度重建的气候推断。在上世纪,干旱地区,湖泊水位变化和硅藻群落结构之间的关系差异被研究用于大平原北部的三个盐渍湖,具有不同的去盐度记录。在每个站点上,开发了将可用的板岩性,底栖性(P:B)栖息地面积与湖泊水位变化相关的模型,并将模型与仪器干旱记录和化石硅藻进行了比较,以了解如何在沉积硅藻组合物中记录干旱情况。 DI盐度追踪干旱变化的程度受特定地点的物理特征的影响,这些特征影响了湖泊水位变化与每个湖泊内P:B生境分区之间的关系。月亮湖显示出干旱与DI盐度之间的最强相关性,尽管在湿润条件下这种关系较弱,因为高水位导致底栖硅藻大量涌入。在双流域系统冷水湖,P:B随湖泊水位而变化,这显然降低了DI盐度与干旱之间的相关性。在三个盆地中最简单,最新鲜的科克伦湖上,硅藻化石的P:B比DI盐度更好地替代了干旱。将额外的生态特征整合到古气候记录的解释中,尤其是基于生物学的代理人的解释,可以改善对气候变化区域模式的重建。

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