Optima (dots) and tolerances (error bars) of the species that contributed the most to community dissimilarity in the four models: Spring, summer, autumn and all (the three seasons combined). https://doi.org/10.1371/journal.pone.0199343.g003

Optima (dots) and tolerances (error bars) of the species that contributed the most to community dissimilarity in the four models: Spring, summer, autumn and all (the three seasons combined). https://doi.org/10.1371/journal.pone.0199343.g003

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The value of diatoms as bioindicators in contemporary and palaeolimnological studies through transfer function development has increased in the last decades. While such models represent a tremendous advance in (palaeo) ecology, they leave behind important sources of uncertainties that are often ignored. In the present study we tackle two of the mos...

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... The strongest explanatory variable for the Chironomidae community according to the k1:k2 ratio was MJAT (1.4 CCA-based, 1.3 RDA-based; Table 3). Training sets with ratios k1:k2 > 1 are characterized by strong relationships between the examined environmental variable and the assemblage data relative to the remaining variance in the TS and are therefore suitable for developing inference models (Goldenberg Vilar et al. 2018). However, it must be kept in mind that the CCA plot demonstrating the dependency of chironomid assemblages from MJAT exhibits the horseshoe effect, which could affect the results. ...
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... Secondly, the sample was taken two months from the moment the body was discovered. The structure of diatom communities in the collected environmental samples, including the share of dominant species, may change depending on the season in which the samples were collected [47][48][49], hence in case 036 and 037, the apparent discrepancies observed between organ samples and environmental samples may have been due to the fact that water was absorbed several months earlier. In such cases, greater similarities can be observed with the benthic samples, which include dead diatoms from previous seasons that have fallen to the bottom of aquatic ecosystems. ...
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