Arid
DOI10.1007/s10933-010-9427-3
Inferring lake depth using diatom assemblages in the shallow, seasonally variable lakes of the Nebraska Sand Hills (USA): calibration, validation, and application of a 69-lake training set
Shinneman, Avery L. C.1,2; Bennett, Danuta M.1,3; Fritz, Sherilyn C.1; Schmieder, Jens1; Engstrom, Daniel R.2; Efting, Aris4; Holz, John4
通讯作者Shinneman, Avery L. C.
来源期刊JOURNAL OF PALEOLIMNOLOGY
ISSN0921-2728
出版年2010
卷号44期号:2页码:443-464
英文摘要

The Nebraska Sand Hills are a distinctive eco-region in the semi-arid Great Plains of the western United States. The water table underlying the Sand Hills is part of the High Plains/Ogallala aquifer, an important water resource for the central Great Plains. Lake levels are affected directly by fluctuations in the water table, which is recharged primarily by local precipitation and responds quickly to climatically induced changes in regional water balance. Instrumental records are available for only 50-100 years, and paleolimnological data provide important insights into the extremes and variability in moisture balance over longer time scales. A set of 69 lakes from across Nebraska was used to establish a statistical relationship between diatom community composition and water depth. This relationship was then used to develop a diatom-based inference model for water depth using weighted averaging regression and calibration techniques. Development of the inference model was complicated by strong intra-seasonal variability in water depth and the linkages between depth and other limnologic characteristics, including alkalinity, water clarity and nutrient concentrations. Analysis of historical diatom communities from eight lakes allowed for the reconstruction of lake-level fluctuations over the past several thousand years. Comparisons of the more recent portion of these reconstructions with the instrumental Palmer Drought Severity Index (PDSI) showed that sediment records may not faithfully reflect short-term fluctuations in water level, except where sedimentation rates are very high. However, large and persistent changes in moisture availability were discernible even in longer, low-resolution records. Thus, diatoms are a useful addition to the tools available for understanding past drought in the central Great Plains, especially when trajectories of change are constrained by data from multiple sites or other proxies.


英文关键词Nebraska Sand Hills Diatoms Inference model Shallow lakes Lake-level
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000280070500007
WOS关键词NORTHERN GREAT-PLAINS ; WATER-LEVEL FLUCTUATIONS ; WESTERN UNITED-STATES ; CLIMATIC CONTROLS ; HOLOCENE CLIMATE ; MARSH SEDIMENTS ; ION CHEMISTRY ; TRACE-ELEMENT ; RECONSTRUCTION ; GROUNDWATER
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Limnology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Marine & Freshwater Biology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/165396
作者单位1.Univ Nebraska, Dept Geosci, Lincoln, NE 68588 USA;
2.Sci Museum Minnesota, St Croix Watershed Res Stn, Marine St Croix, MN 55047 USA;
3.Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA;
4.Univ Nebraska, Sch Nat Resources, Lincoln, NE 68588 USA
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GB/T 7714
Shinneman, Avery L. C.,Bennett, Danuta M.,Fritz, Sherilyn C.,et al. Inferring lake depth using diatom assemblages in the shallow, seasonally variable lakes of the Nebraska Sand Hills (USA): calibration, validation, and application of a 69-lake training set[J],2010,44(2):443-464.
APA Shinneman, Avery L. C..,Bennett, Danuta M..,Fritz, Sherilyn C..,Schmieder, Jens.,Engstrom, Daniel R..,...&Holz, John.(2010).Inferring lake depth using diatom assemblages in the shallow, seasonally variable lakes of the Nebraska Sand Hills (USA): calibration, validation, and application of a 69-lake training set.JOURNAL OF PALEOLIMNOLOGY,44(2),443-464.
MLA Shinneman, Avery L. C.,et al."Inferring lake depth using diatom assemblages in the shallow, seasonally variable lakes of the Nebraska Sand Hills (USA): calibration, validation, and application of a 69-lake training set".JOURNAL OF PALEOLIMNOLOGY 44.2(2010):443-464.
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