Hostname: page-component-84b7d79bbc-rnpqb Total loading time: 0 Render date: 2024-07-29T02:56:04.989Z Has data issue: false hasContentIssue false

Consensus among multiple trophic levels during high- and low-water stands over the last two millennia in a northwest Ontario lake

Published online by Cambridge University Press:  20 January 2017

Moumita Karmakar*
Affiliation:
Paleoecological Environmental Assessment and Research Laboratory (PEARL), Department of Biology, Queen's University, Kingston, Ontario K7L3N6, Canada
Joshua Kurek
Affiliation:
Paleoecological Environmental Assessment and Research Laboratory (PEARL), Department of Biology, Queen's University, Kingston, Ontario K7L3N6, Canada
Heather Haig
Affiliation:
Department of Biology, University of Regina, Laboratory Building, Saskatchewan S4S0A2, Canada
Brian F. Cumming
Affiliation:
Paleoecological Environmental Assessment and Research Laboratory (PEARL), Department of Biology, Queen's University, Kingston, Ontario K7L3N6, Canada
*
*Corresponding author. E-mail addresses:9mk65@queensu.ca (M. Karmakar),joshua.kurek@gmail.com (J. Kurek),haig.a.heather@gmail.com (H. Haig),brian.cumming@queensu.ca (B.F. Cumming).

Abstract

We investigated the modern distribution of fossil midges within a dimictic lake and explored downcore patterns of inferred lake depths over the last 2000 years from previously published proxies. Modern midge distribution within Gall Lake showed a consistent and predictable pattern related to the lake-depth gradient with recognizable assemblages characteristic of shallow-water, mid-depth and profundal environments. Interpretations of downcore changes in midge assemblages, in conjunction with quantitative lake-depth inferences across a priori defined (based on diatom data) ~ 500-yr wet and dry periods, demonstrated that both invertebrate and algal assemblages exhibited similar timing and nature of ecological responses. Midges were quantified by their relative abundance, concentrations and an index of Chaoborus to chironomids, and all showed the greatest differences between the wet and dry periods. During the low lake-level period of the Medieval Climate Anomaly (MCA: AD 900 to 1400), profundal chironomids declined, shallow-water and mid-depth chironomids increased, chironomid-inferred lake level declined and the Chaoborus-to-chironomid index decreased. The coherence between multiple trophic levels provides strong evidence of lower lake levels in Gall Lake during the MCA.

Type
Research Article
Copyright
University of Washington

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Barley, E.M., Walker, I.R., Kurek, J., Cwynar, L.C., Mathewes, R.W., and Gajewski, K. A northwest North America training set: distribution of freshwater midges in relation to air temperature and lake depth. Journal of Paleolimnology 36, (2006). 295314.Google Scholar
Binford, M.W. Calculation and uncertainty analysis of 210Pb dates for PIRLA project lake sediment cores. Journal of Paleolimnology 3, (1990). 253267.Google Scholar
Brodin, Y.W. The postglacial history of Lake Flarken, south Sweeden, interpreted from subfossil insect remain. Internationale Revue der Gesamten Hydrobiologie 71, (1986). 371432.CrossRefGoogle Scholar
Brooks, S.J., Langdon, P.G., and Heiri, O. The identification and use of PalaearcticChironomidae larvae larvae in paleoecology. Quaternary Research Association Technical Guide 10, (2007). 1276.Google Scholar
Brundin, L. ZurSystematik der Orthocladiinae (Dipt, Chironomidae). Report of the Institute of Freshwater Research, Drottningholm 37, (1956). 5185.Google Scholar
Clarke, K.R. Non-parametric multivariateanalysis of changes in community structure. Australian Journal of Ecology 18, (1993). 117143.CrossRefGoogle Scholar
Cwynar, L.C., Rees, A.B.H., and Pedersen, C.R. Depth distribution of chironomids and an evaluation of site-specific and regional lake-depth inference models: a good model gone bad?. Journal of Paleolimnology 48, (2012). 517533.Google Scholar
Engels, S., and Cwynar, L.C. Changes in fossil chironomid remains along a depth gradient: evidence for common faunal threshold within lakes. Hydrobiologia 665, (2011). 1538.Google Scholar
Engels, S., Cwynar, L.C., Rees, A.B.H., and Shuman, B.N. Chironomid-based water depth reconstruction: an independent evaluation of site-specific and local inference models. Journal of Paleoecology 48, (2012). 693709.Google Scholar
Glew, J.R. A new trigger mechanism for sediment samplers. Journal of Paleolimnology 2, (1989). 241243.CrossRefGoogle Scholar
Grimm, E.C. CONISS — a Fortran-77 program for statistigraphically constrained cluster analysis by the method of incremental sum of squares. Computers & Geosciences 13, (1987). 1335.Google Scholar
Haig, H., Kingsbury, M.V., Laird, K.R., and Cumming, B.F. A multiproxy assessment of drought over the past two millennia in near-shore sediment cores from a Canadian Boreal Lake. Journal of Paleolimnology 50, (2013). 175190.CrossRefGoogle Scholar
Heiri, O., and Lotter, A.F. Effect of low counts on quantitative environmental reconstructions: an example using subfossil chironomids. Journal of Paleolimnology 26, (2001). 343350.Google Scholar
Juggins, S. C2 software for ecological and palaeoecological data analysis and visualization. User Guide Version 1.3. (2003). University of Newcastle, Newcastle, UK.Google Scholar
Juggins, S. Quantitative reconstructions in paleolimnology: new paradigm or sick science?. Quaternary Science Reviews 64, (2013). 2032.Google Scholar
Kingsbury, M.V., Laird, K.R., and Cumming, B.F. Consistent patterns in diatom assemblages and diversity measures across water-depth gradients from eight Boreal lakes from northwestern Ontario (Canada). Freshwater Biology 57, (2012). 11511165.Google Scholar
Kurek, J., and Cwynar, L.C. Effect of within-lake gradients on distribution of fossil chironomids from maar lakes in Western Alaska: implications for environmental reconstructions. Hydrobiologia 623, (2009). 3752.CrossRefGoogle Scholar
Kurek, J., and Cwynar, L.C. The potential of site-specific and local chironomid-based inference models for reconstructing past lake-level. Journal of Paleolimnology 42, (2009). 3750.Google Scholar
Kurek, J., Cwynar, L.C., Weeber, R.C., Jefferies, D.S., and Smol, J.P. Ecological distribution of Chaoborus species in small, shallow lakes from the Canadian Boreal Shield ecozone. Hydrobiologia 652, (2010). 207211.Google Scholar
Kurek, J., Weeber, R.C., and Smol, J.P. Environment trumps predation and spatial factors in structuring cladoceran communities from Boreal Shield lakes. Canadian Journal of Fisheries and Aquatic Sciences 68, (2011). 14081419.Google Scholar
Kurek, J., Lawlor, L., Cumming, B.F., and Smol, J.P. Long-term oxygen conditions assessed using chironomid assemblages in brook trout lakes from Nova Scotia, Canada. Lake and Reservoir Management 28, (2012). 177188.CrossRefGoogle Scholar
Laird, K.R., Kingsbury, M.V., Lewis, C.F.M., and Cumming, B.F. Diatom-inferred depth models in 8 Canadian Boreal lakes: inferred changes in the benthic: planktonic depth boundary and implications for assessment of past drought. Quaternary Science Reviews 30, (2011). 12011217.CrossRefGoogle Scholar
Laird, K.R., Haig, H.A., Ma, Susan, Kingsbury, M.V., Brown, T.A., Lewis, M., Oglesby, R., and Cumming, B.F. Expanded spatial extent of the Medieval Climate Anomaly revealed in lake-sediment records across the boreal region in northwest Ontario. Global Change Biology 18, (2012). 28692881.Google Scholar
Larocque, I. How many chironomid head capsules are enough? A statistical approach to determine sample size for paleoclimatic reconstructions. Paleogeography, Paleoclimatology, Paleoecology 172, (2001). 133142.Google Scholar
Luoto, T.P. Hydrological changes in lakes inferred from midge assemblages through use of an intralake calibration set. Ecological Monographs 80, (2010). 303329.CrossRefGoogle Scholar
Luoto, T.P. Spatial uniformity in depth optima of midges: evidence from sedimentary archives of shallow Alpine and boreal lakes. Journal of Limnology 71, (2012). 228232.Google Scholar
Ma, S., Laird, K.R., Kingsbury, M.R., Lewis, C.F.M., and Cumming, B.F. Diatom-inferred changes in effective moisture during the late Holocene from nearshore cores in the Southeastern region of the Winnipeg River Drainage Basin (Canada). The Holocene 23, 4 (2013). 568578.Google Scholar
Parker, B.R., Schindler, D.W., Beaty, K.G., Stainton, M.P., and Kasian, S.E.M. Long-term changes in climate, streamflow, nutrient budgets for first-order catchments at the Experimental Lakes Area (Ontario, Canada). Canadian Journal of Fisheries and Aquatic Sciences 66, (2009). 18481863.Google Scholar
Quinlan, R., and Smol, J.P. Chironomid-based inference models for estimating end-of-summer hypolimnetic oxygen from south-central Ontario shield lakes. Freshwater Biology 46, (2001). 15291551.CrossRefGoogle Scholar
Quinlan, R., and Smol, J.P. Use of subfossil Chaoborus mandibles in models for inferring past hypolimnetic oxygen. Journal of Paleolimnology 44, (2010). 4350.Google Scholar
Quinlan, R., Paterson, J.M., and Smol, J.P. Climate-mediated changes in small lakes inferred from midge assemblages: the influence of thermal regime and lake depth. Journal of Paleolimnology 48, (2012). 297310.Google Scholar
Reimer, P.J.P., Baillie, M.G.L., Bard, E., Bayliss, A., Beck, J.W., Blackwell, P.G., Bronk Ramsey, C., Buck, C.E., Burr, G.S., Edwards, R.L., Friedrich, M., Grootes, P.M., Guilderson, T.P., Hajdas, I., Heaton, T.J., Hogg, A.G., Hughen, K.A., Kaiser, K.F., Kromer, B., McCormac, F.G., Manning, S.W., Reimer, R.W., Richards, D.A., Southon, J.R., Talamo, S., Turney, C.S.M., van der Plicht, J., and Weyhenmeyer, C.E. INTCAL09 and MARINE09 radiocarbon age calibration curves, 0–50,000 years cal BP. Radiocarbon 51, (2009). 11111150.CrossRefGoogle Scholar
Schelske, C.L., Peplow, A., Brenner, M., and Spencer, C.N. Low-background gamma counting: applications for 210Pb dating of sediments. Journal of Paleolimnology 10, (1994). 115128.CrossRefGoogle Scholar
Schmah, A. Variation among fossil chironomid assemblages in surficial sediments of Bodensee–Untersee (SW-Germany): implications for paleolimnological interpretations. Journal of Paleolimnology 9, (1993). 99108.CrossRefGoogle Scholar
St. George, S. Hydrological dynamics in the Winnipeg River basin, Manitoba. Manitoba Science, Technology, Energy and Mines. Manitoba Geological Survey (2006). 226230.Google Scholar
Telford, R.J., and Birks, H.J.B. A novel method for assessing the statistical significance of quantitative reconstructions inferred from biotic assemblages. Quaternary Science Reviews 30, (2011). 12721278.Google Scholar
Ter Braak, C.J.F., and Šmilauer, P. CANOCO Reference Manual and User Guide to Canoco for Windows: Software for Canonical Community Ordination (Version 4). (1998). Center for Biometry, Google Scholar
Uutala, A.J. Chaoborus (Diptera: Chaoboridae) mandibles — paleolimnological indicators of the historical status of fish population in acid sensitive lakes. Journal of Paleolimnology 4, (1990). 139151.CrossRefGoogle Scholar
Velle, G., Telford, R.J., Heiri, O., Kurek, J., and Birks, H.J.B. Testing intra-site transfer functions: an example using chironomids and water depth. Journal of Paleolimnology 48, (2012). 545558.Google Scholar
Walker, I.R. Midges: Chironomidae and related Diptera. Smol, J.P., Birks, H.J.B., and Last, W.M. Tracking Environmental Changes Using Lake Sediments. Zoological Indicators vol. 4, (2001). Kluwer Academic Publisher, Dordrecht. 4366.Google Scholar
Walker, I.R., and MacDonald, G.M. Distribution of Chironomidae (Insecta:Diptera) and other freshwater midges with respect to tree line, Northwest Territories, Canada. Arctic and Alpine Research 3, (1995). 258263.Google Scholar
Wiederholm, T. Chironomidae of the Holarctic region. Keys and diagnoses. Part 1. Larvae. Entomological Scandinavica Supplement 19, (1983). 1457.Google Scholar