2013
DOI: 10.1007/s10933-013-9678-x
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Reconstructing epilimnetic total phosphorus using diatoms: statistical and ecological constraints

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Cited by 51 publications
(58 citation statements)
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“…Aulacoseira subborealis) (Nygaard) Denys, Muylarert et Krammer, the most common diatom in MCR. The assumptions inherent in diatom-inferred reconstructions were not tested (Juggins et al 2013), but DI-TP is consistent with measured values (winter 2000-2003, p \ 0.05 Oneway ANOVA), most of the eligible taxa were planktonic, which better meets the inherent assumptions than benthic species (Juggins et al 2013), and for this study the trend in reconstructed values is more important than the absolute values. Shannon-Weiner diversity (H 0 ) was determined using PCORD software (McCune and Mefford 1999).…”
Section: Data and Statistical Analysismentioning
confidence: 68%
“…Aulacoseira subborealis) (Nygaard) Denys, Muylarert et Krammer, the most common diatom in MCR. The assumptions inherent in diatom-inferred reconstructions were not tested (Juggins et al 2013), but DI-TP is consistent with measured values (winter 2000-2003, p \ 0.05 Oneway ANOVA), most of the eligible taxa were planktonic, which better meets the inherent assumptions than benthic species (Juggins et al 2013), and for this study the trend in reconstructed values is more important than the absolute values. Shannon-Weiner diversity (H 0 ) was determined using PCORD software (McCune and Mefford 1999).…”
Section: Data and Statistical Analysismentioning
confidence: 68%
“…A comparison of the relative TP optima between the dominant planktonic taxa in our dataset (Figure 3) with the dominant planktonic taxa from another large dataset from the Laurentian Great Lakes (Reavie et al, 2014), shows strong and significant correlation for the 17 planktonic taxa that are in common (r = 0.69, p = 0.002), whereas the correlation of the TP optima of the 11 benthic taxa in common is not significant (r = 0.15, p = 0.66). In an examination of eight relatively small regional datasets (each dataset between 42 and 152 lakes, median ∼68) Juggins et al (2013) found only 7 of 28 comparisons (or 25%) yielded significant, but weak correlations between the TP optima of benthic taxa, but 9 of 14 (or 64%) resulted in significant and much stronger correlations for planktonic taxa. These results are consistent with earlier observations of the weaker TP responses of benthic taxa that has been noted especially in shallow lakes (e.g., Bennion et al, 2001;Davidson and Jeppesen, 2013).…”
Section: Modern-day Calibration Datasetmentioning
confidence: 98%
“…Although changes in diatom assemblages in sediment cores, and the use of diatombased TP inferences have become widely accepted techniques for tracking trajectories associated with eutrophication (Hall and Smol, 2010), this approach may be misleading, especially if there have been violations made in the assumptions associated with the use of transfer functions (e.g., Juggins, 2013). As an example, there is particular concern over the confounding influence of secondary variables in the training sets, as well as poor or no spatial replicability in diatom optima to lake-water TP across different regional calibration datasets (Juggins, 2013;Juggins et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…However, several studies have highlighted the shortcomings of the transfer function technique in certain situations, and this is particularly well documented for shallow lakes where non-planktonic taxa dominate the diatom assemblages. Problems include the influence of factors such as light, substrate, and top-down factors in addition to water chemistry on the distribution of these taxa and their wide tolerance to nutrient concentrations, making them poor indicators of lake trophic status (e.g., Anderson et al, 1993;Bennion, 1995;Bennion et al, 2001;Sayer, 2001;Juggins et al, 2013). Nonetheless, in the absence of other techniques for hindcasting nutrient concentrations, inference models are likely to remain a valuable part of the lake manager's toolkit (SaulnierTalbot, 2015).…”
Section: Cyclotella Radiosa Cyclostephanos Dubiusmentioning
confidence: 99%