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Journal of Paleolimnology

, Volume 42, Issue 1, pp 37–50 | Cite as

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

  • Joshua Kurek
  • Les C. Cwynar
Original Paper

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 14C 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.

Keywords

Chironomids Water depth Transfer function Lake level Fossil remains Alaska 

Notes

Acknowledgments

We would like to thank Dena and Jerry Austin for their hospitality while on St Michael Island. Special thanks to Jesse Vermaire as he was an invaluable field assistant and Erin Barley for use of her data. Stephan Engels provided constructive comments to an early draft of this manuscript and Oliver Heiri gave insightful suggestions on preliminary ordination methods. Two anonymous reviewers also improved this paper. Most sincere thanks to Tom Ager (USGS) for his enthusiasm about St Michael Island and use of ZL core sediments. This research was funded by a Collaborative Research Opportunity grant from the Natural Sciences and Engineering Research Council of Canada (NSERC) to L.C. Cwynar (PI) and an NSERC Postgraduate Scholarship (PGS B) with Northern Studies Supplemental Funding to J. Kurek. Funding from the Northern Scientific Training Program (Indian and Northern Affairs Canada) is also greatly appreciated.

References

  1. Abbott MB, Finney BP, Edwards M, Kelts KR (2000) Paleohydrology of Birch Lake, central Alaska: lake-level reconstructions using seismic reflection profiles and core transect approaches. Quat Res 23:154–166. doi: 10.1006/qres.1999.2112 CrossRefGoogle Scholar
  2. Ager TA (2003) Late Quaternary vegetation and climate history of the central Bering Land Bridge from St Michael Island, western Alaska. Quat Res 60:19–32. doi: 10.1016/S0033-5894(03)00068-1 CrossRefGoogle Scholar
  3. Anderson L, Abbott MB, Finney BP (2005) Large and rapid Holocene moisture balance shifts in the Yukon Territory, Canada, based on lake-level reconstructions. Holocene 15:1172–1183. doi: 10.1191/0959683605hl889rp CrossRefGoogle Scholar
  4. Barber V, Finney BP (2000) Late Quaternary paleoclimatic reconstructions for interior Alaska based on paleo lake-level data and hydrologic models. J Paleolimnol 24:29–41. doi: 10.1023/A:1008113715703 CrossRefGoogle Scholar
  5. Barley EM (2004) Paleoclimate analysis of southwestern Yukon Territory using subfossil chironomid remains from Antifreeze Pond. M.Sc. thesis, Simon Fraser University, Burnaby, 104 ppGoogle Scholar
  6. Barley EM, Walker IR, Kurek J, Cwynar LC, Mathewes RW, Gajewski K et al (2006) A northwest North America training set: distribution of freshwater midges in relation to air temperature and lake depth. J Paleolimnol 36:295–314. doi: 10.1007/s10933-006-0014-6 CrossRefGoogle Scholar
  7. Bigelow NH, Edwards ME (2001) A 14,000 yr paleoenvironmental record from Windmill Lake, central Alaska: Lateglacial and Holocene vegetation in the Alaska Range. Quat Sci Rev 20:203–215. doi: 10.1016/S0277-3791(00)00122-0 CrossRefGoogle Scholar
  8. Birks HJB (1998) Numerical tools in palaeolimnology—progress, potentialities, and problems. J Paleolimnol 20:307–332. doi: 10.1023/A:1008038808690 CrossRefGoogle Scholar
  9. Brodersen KP, Anderson NJ (2002) Distribution of chironomids (Diptera) in low arctic West Greenland lakes: trophic conditions, temperature and environmental reconstruction. Freshw Biol 47:1137–1157. doi: 10.1046/j.1365-2427.2002.00831.x CrossRefGoogle Scholar
  10. Brodersen KP, Lindegaard C (1999) Classification, assessment and trophic reconstruction of Danish lakes using chironomids. Freshw Biol 42:143–157. doi: 10.1046/j.1365-2427.1999.00457.x CrossRefGoogle Scholar
  11. Brodersen KP, Quinlan R (2006) Midges as palaeoindicators of lake productivity, eutrophication and hypolimnetic oxygen. Quat Sci Rev 25:1995–2012. doi: 10.1016/j.quascirev.2005.03.020 CrossRefGoogle Scholar
  12. Brooks SJ, Langdon PG, Heiri O (2007) The identification and use of Palaearctic Chironomidae larvae in palaeoecology. QRA Technical Guide No. 10, Quaternary Research Association, London, 276 ppGoogle Scholar
  13. Dean WE Jr (1974) Determination of carbonate and organic matter in calcareous sediments and sedimentary rocks by loss on ignition: comparison with other methods. J Sediment Petrol 44:242–248Google Scholar
  14. Digerfeldt G (1986) Studies on past lake level fluctuations. In: Berglund BE (ed) Handbook of Holocene paleoecology and paleohydrology. Wiley, Chichester, pp 127–143Google Scholar
  15. Eggermont H, De Deyne P, Verschuren D (2007) Spatial variability of chironomid death assemblages in the surface sediments of a fluctuating tropical lake (Lake Naivasha, Kenya). J Paleolimnol 38:309–328. doi: 10.1007/s10933-006-9075-9 CrossRefGoogle Scholar
  16. Frey DG (1988) Littoral and offshore communities of diatoms, cladocerans, and dipterous larvae, and their interpretation in paleolimnology. J Paleolimnol 1:179–191Google Scholar
  17. Gajewski K, Bouchard G, Wilson SE, Kurek J, Cwynar LC (2005) Distribution of Chironomidae (Insecta: Diptera) head capsules in recent sediments of Canadian Arctic lakes. Hydrobiologia 549:131–143. doi: 10.1007/s10750-005-5444-z CrossRefGoogle Scholar
  18. Glew J (1991) Miniature gravity corer for recovering short sediment cores. J Paleolimnol 5:285–287. doi: 10.1007/BF00200351 CrossRefGoogle Scholar
  19. Guthrie RD (2001) Origin and causes of the mammoth steppe: a story of cloud cover, woolly mammal tooth pits, buckles, and inside-out Beringia. Quat Sci Rev 20:549–574. doi: 10.1016/S0277-3791(00)00099-8 CrossRefGoogle Scholar
  20. Heiri O (2004) Within-lake variability of subfossil chironomid assemblages in shallow Norwegian lakes. J Paleolimnol 32:67–84. doi: 10.1023/B:JOPL.0000025289.30038.e9 CrossRefGoogle Scholar
  21. Heiri O, Lotter AF (2001) Effect of low count sums on quantitative environmental reconstructions: an example using subfossil chironomids. J Paleolimnol 26:343–350. doi: 10.1023/A:1017568913302 CrossRefGoogle Scholar
  22. Heiri O, Lotter AF, Lemcke G (2001) Loss on ignition as a method for estimating organic and carbonate content in sediments: reproducibility and comparability of results. J Paleolimnol 25:101–110. doi: 10.1023/A:1008119611481 CrossRefGoogle Scholar
  23. Heiri O, Birks HJB, Brooks SJ, Velle G, Willassen E (2003) Effects of within-lake variability of fossil assemblages on the quantitative chironomid-inferred temperature reconstruction. Palaeogeogr Palaeoclimatol Palaeoecol 199:95–106. doi: 10.1016/S0031-0182(03)00498-X CrossRefGoogle Scholar
  24. Heiri O, Ekrem T, Willassen E (2004) Larval head capsules of European Micropsectra, Paratanytarsus, and Tanytarsus (Diptera: Chironomidae: Tanytarsini). Version 1.0. http://www.bio.uu.nl/(palaeo/Chironomids/Tanytarsini/intro.htm
  25. Hofmann W (1998) Cladocerans and chironomids as indicators of lake-level change in north temperate lakes. J Paleolimnol 19:55–62CrossRefGoogle Scholar
  26. Iovino AJ (1975) Extant chironomid larval populations and the representativeness and nature of their remains in lake sediments. Ph.D. thesis, Indiana University, 54 ppGoogle Scholar
  27. Juggins S (2003) C2 version 1.4. Software for ecological and palaeoecological data analysis and visualization. University of Newcastle, Newcastle-upon-TyneGoogle Scholar
  28. Kattel GR, Battarbee RW, Mackay A, Birks HJB (2007) Are cladoceran fossils in lake sediment samples a biased reflection of the communities from which they are derived? J Paleolimnol 38:157–181CrossRefGoogle Scholar
  29. Korhola A, Olander H, Blom T (2000) Cladoceran and chironomid assemblages as quantitative indicators of water depth in subarctic Fennoscandian lakes. J Paleolimnol 24:43–54CrossRefGoogle Scholar
  30. Larocque I (2001) How many chironomid head capsules are enough? A statistical approach to determine sample size for palaeoclimatic reconstructions. Palaeogeogr Palaeoclimatol Palaeoecol 172:133–142CrossRefGoogle Scholar
  31. Larocque I, Pienitz R, Rolland N (2006) Factors influencing the distribution of chironomids in lakes distributed along a latitudinal gradient in northwestern Quebec, Canada. Can J Fish Aquat Sci 63:1286–1297CrossRefGoogle Scholar
  32. Mackay AW, Battarbee RW, Flower RJ, Granin NG, Jewson DH, Ryves DB, Sturm M (2003) Assessing the potential for developing internal diatom-based transfer functions for Lake Baikal. Limnol Oceanogr 48:1183–1192Google Scholar
  33. Muhs DR, Ager TA, Been J, Bradbury JP, Dean WE (2003) A late Quaternary record of eolian silt deposition in a maar lake, St. Michael Island, western Alaska. Quat Res 60:110–122CrossRefGoogle Scholar
  34. Olander H, Birks HJB, Korhola A, Blom T (1999) An expanded calibration model for inferring lakewater and air temperatures from fossil chironomid assemblages in northern Fennoscandia. Holocene 9:279–294CrossRefGoogle Scholar
  35. Oliver DR, Roussel ME (1983) The insects and Arachnids of Canada. Part 11: the genera of larval midges of Canada-Diptera: Chironomidae. Agriculture Canada Publication 1746:1–263Google Scholar
  36. Pedersen CR (2005) A chironomid-based paleoclimatic investigation of Marcella Lake, southwest Yukon Territory, Canada. M.Sc. thesis, University of New Brunswick, Fredericton, 77 ppGoogle Scholar
  37. Pinder LCV (1995) The habitats of chironomid larvae. In: Armitage P, Cranston PS, Pinder LCV (eds) The Chironomidae: the biology and ecology of non-biting midges. Chapman & Hall, London, pp 107–135Google Scholar
  38. Porinchu DF, Cwynar LC (2000) The distribution of freshwater Chironomidae (Insecta: Diptera) across treeline near the lower Lena River, northeast Siberia. Arct Antarct Alp Res 32:429–437CrossRefGoogle Scholar
  39. Quinlan R, Smol JP (2001a) Chironomid-based inference models for estimating end-of-summer hypolimnetic oxygen from south-central Ontario shield lakes. Freshw Biol 46:1529–1551CrossRefGoogle Scholar
  40. Quinlan R, Smol JP (2001b) Setting minimum head capsule abundance and taxa deletion criteria in chironomid-based inference models. J Paleolimnol 26:327–342CrossRefGoogle Scholar
  41. Schmäh A (1993) Variation among fossil chironomid assemblages in surficial sediments of Bodensee-Untersee (SW Germany): implications for paleolimnological interpretation. J Paleolimnol 9:99–108CrossRefGoogle Scholar
  42. ter Braak CFJ (1986) Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology 67:1167–1179CrossRefGoogle Scholar
  43. ter Braak CFJ, Juggins S (1993) Weighted averaging partial least squares regression (WA-PLS): an improved method for reconstructing environmental variables from species assemblages. Hydrobiologia 269–270:485–502CrossRefGoogle Scholar
  44. ter Braak CFJ, Šmilauer P (2002) CANOCO reference manual and CanoDraw for Windows user’s guide: software for canonical community ordination (v 4.5). Microcomputer Power, Ithaca, 500 ppGoogle Scholar
  45. Walker IR (2001) Midges: Chironomidae and related Diptera. In: Smol JP, Birks HJB, Last WM (eds) Tracking environmental change using lake sediments: zoological indicators. Kluwer Academic Publishers, Dordrecht, pp 43–66Google Scholar
  46. Walker IR, Cwynar LC (2006) Midges and palaeotemperature reconstruction—the North American experience. Quat Sci Rev 25:1911–1925CrossRefGoogle Scholar
  47. Walker IR, Smol JP, Engstrom DR, Birks HJB (1991) An assessment of Chironomidae as quantitative indicators of past climatic change. Can J Fish Aquat Sci 48:975–987Google Scholar
  48. Walker IR, Levesque AJ, Pienitz R, Smol JP (2003) Freshwater midges of the Yukon and adjacent Northwest Territories: a new tool for reconstructing Beringian paleoenvironments? J North Am Benthol Soc 22:323–337CrossRefGoogle Scholar
  49. Wiederholm T (1983) Chironomidae of the Holarctic region. Keys and Diagnoses. Part I: Larvae. Entomol Scand Suppl 19:1–457Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.Department of BiologyUniversity of New BrunswickFrederictonCanada

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