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A high-resolution paleolimnological study of climate and human impacts on Lac Noir, Québec, over the past 1000 yr

Published online by Cambridge University Press:  05 November 2018

Karen Neil*
Affiliation:
Laboratory of Paleoclimatology and Climatology, Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, Ontario K1N6N5, Canada
Konrad Gajewski
Affiliation:
Laboratory of Paleoclimatology and Climatology, Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, Ontario K1N6N5, Canada
*
*Corresponding author at: Laboratory of Paleoclimatology and Climatology, Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, Ontario K1N6N5, Canada. E-mail address: kneil079@uottawa.ca (K. Neil).
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Abstract

Diatom assemblages in lake sediments of Lac Noir, southwestern Québec, were studied at a resolution of 10 yr to determine principal drivers of primary producers for the past ~1000 yr. Generalized additive modeling revealed strong links between broadscale climate intervals of the late Holocene, forest composition, and diatom flora. During the Medieval Warm Period (~AD 1200) and onset of the Little Ice Age (~AD 1450), increases in Tabellaria flocculosa str. IIIp at the expense of Discostella stelligera reflected low lake productivity. At AD 1630, an abrupt shift to cooler temperatures and dry conditions triggered a decline in hemlock (Tsuga), replaced by disturbance and cool-adapted taxa. Greater nutrient availability and soil erosion in the catchment led to a corresponding and rapid increase in diatoms with higher optima for nitrogen, such as Asterionella formosa and Fragilaria crotonensis. After AD 1870, an increase in pollen of taxa associated with disturbances signaled the arrival of Euro-Canadians, and associated nutrient inputs to the lake triggered increases in Stephanodiscus minutulus and Achnanthidium minutissimum. Overall results of the study indicate that climate played an important underlying role in lake-ecosystem dynamics; however, disturbances affecting forest composition had more direct influences on the diatom communities of Lac Noir.

Information

Type
Research Article
Copyright
Copyright © University of Washington. Published by Cambridge University Press, 2018 
Figure 0

Figure 1. Map of the location and bathymetry of Lac Noir, southwestern Québec.

Figure 1

Figure 2. Lac Noir diatom stratigraphy, expressed as percentages of total diatom abundance. Taxa with ≥3% relative abundance in at least one sample are shown, and a 3× exaggeration (unfilled gray line) is applied to taxa representing a smaller portion of the total diatom sum.

Figure 2

Figure 3. A paleoenvironmental summary for Lac Noir, southwestern Québec. Data obtained from Paquette and Gajewski (2013) include varve thickness, organic/carbonate content, aquatic pollen percentage, pollen and charcoal influx, and paleoclimate reconstructions (derived from the pollen record using the modern analogue technique). LOI, loss-on-ignition; CS/DV, chrysophyte scale to diatom valve index; JJA, June, July, August.

Figure 3

Figure 4. Diatom and pollen principal components (PCs) sample scores for Lac Noir (see Tables 1 and 2 for loadings); only significant principal components analysis (PCA) axes are shown. Explained variance of each axis is indicated as a percentage. The division of the diagram is based solely on changes in the diatom PCA. The pollen PCA axes were derived from the pollen record of Paquette and Gajewski (2013).

Figure 4

Table 1. Loadings and explained variance (eigenvalues) of a principal components analysis on diatom percentages from Lac Noir, southwestern Québec.

Figure 5

Figure 5. Biplot of a principal components analysis (PCA) of fossil diatom and pollen assemblages (summarized with separate PCAs) and environmental variables from samples in Lac Noir, southwestern Québec. Colored dots represent the biostratigraphic zones defined by the diatom PCA (see Fig. 4). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) CS/DV, chrysophyte scale to diatom valve index; JJA, June, July, August; LOI, loss-on-ignition; PC, principal component.

Figure 6

Table 2. Loadings and explained variance (eigenvalues) of a principal components analysis on pollen percentages from Lac Noir, southwestern Québec (Paquette and Gajewski, 2013).

Figure 7

Figure 6. The contributions of environmental variables to the fitted diatom principal component (PC) axis 1 scores in the final generalized additive model for Lac Noir. A 95% pointwise confidence band is shown by the gray band. In the time series, the contribution of the variable is considered significantly different from the intercept when the gray band does not intersect the dashed zero line. LOI, loss-on-ignition.

Figure 8

Figure 7. The contributions of environmental variables to the fitted diatom principal component (PC) axis 2 scores in the final generalized additive model for Lac Noir. A 95% pointwise confidence band is shown by the gray band. In the time series, the contribution of the variable is considered significantly different from the intercept when the gray band does not intersect the dashed zero line. LOI, loss-on-ignition.

Figure 9

Figure 8. The contributions of environmental variables to the fitted diatom principal component (PC) axis 3 scores in the final generalized additive model for Lac Noir. A 95% pointwise confidence band is shown by the gray band. In the time series, the contribution of the variable is considered significantly different from the intercept when the gray band does not intersect the dashed zero line. LOI, loss-on-ignition.

Figure 10

Figure 9. A comparison of selected pollen and diatom percentages and environmental variables from Lac Noir (black; this study; Paquette and Gajewski, 2013) and Lac Brûlé (grey; Lafontaine-Boyer and Gajewski, 2014; Neil and Gajewski, 2017). ). CS/DV, chrysophyte scale to diatom valve index; JJA, June, July, August; LOI, loss-on-ignition.

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