NDLI: The potential of site-specific and local chironomid-based inference models for reconstructing past lake levels

Content Provider	Springer Nature Link
Author	Kurek, Joshua Cwynar, Les C.
Copyright Year	2008
Abstract	We examined the relationship between three key environmental variables (water depth, loss-on-ignition, and bottom-water temperature) and fossil chironomid distributions sampled from within-lake gradients in three small, moderately deep (18–35 m), maar lakes on St Michael Island, western Alaska. Site-specific (one lake, 29 samples) and local (three lakes, 87 samples) inference models for reconstructing water depth were developed using partial least squares regression and calibration. These models and a previously published regional model (136 lakes, one central-lake sample from each) are used to infer water depths from 78 fossil samples spanning the last ~30,000 $^{14}$C years B.P. at Zagoskin Lake. Although the site-specific [r $^{2}$ $_{boot}$ = 0.90, root mean square error of prediction (RMSEP) = 1.76] and local (r boot 2 = 0.68, RMSEP = 4.36) inference models have better performance statistics than the regional model, few clear trends among all three models exist in the lake-level reconstruction. We propose that multiple, within-lake sampling of gradients can be used to improve the performance statistics of water-depth transfer functions and ultimately reconstruct paleohydrology in regions known to exhibit large fluctuations in moisture balance through time given that: (1) adequate analogs are established and (2) taphonomic processes important to benthic invertebrate remains are more fully understood.
Starting Page	37
Ending Page	50
Page Count	14
File Format	PDF
ISSN	09212728
Journal	Journal of Paleolimnology
Volume Number	42
Issue Number	1
e-ISSN	15730417
Language	English
Publisher	Springer Netherlands
Publisher Date	2008-09-03
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Chironomids Water depth Transfer function Lake level Fossil remains Alaska Geology Freshwater & Marine Ecology Physical Geography Climate Change Sedimentology Paleontology
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Aquatic Science

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