Eocyzicus argillaquus
publication ID |
https://doi.org/ 10.6620/ZS.2020.59-33 |
persistent identifier |
https://treatment.plazi.org/id/03B9FF46-E453-A206-DC2C-D1B0FD1EFA04 |
treatment provided by |
Felipe |
scientific name |
Eocyzicus argillaquus |
status |
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Population survival
Standardized densities of replicates in Eocyzicus argillaquus did not diverge much ( Fig. 8 View Fig , Table 1B). Survival remained at 100% until 10 days after hydration. Population densities first started to decrease in cups 15.1 and 15.2 eleven days after hydration, followed by cups of lower densities 13 days after hydration. We decided to end the experiment when mortality rate increased dramatically 16 days after hydration. To ensure a statistically relevant sample size, we pooled replicates 3, 5, 7, and 10 for further analyses (e.g., only one individual remaining in cup 3.2).
Size
PC1 and PC2 explain 76.0% and 12.6% of the variance in the log-transformed size dataset. Figure 9A View Fig shows that single-individual cups (in red) occupy positive scores on PC1 while all other densities overlap, which is corroborated by NPMANOVA ( Table 5A). Pairwise comparisons separate single-individual cups from cups with initial densities higher than three. Cup 3 is distinct from cups 5 and 15.2. All other cups cannot be distinguished based on size variables. So, in contrast to Eulimnadia texana , the population density effect on size in E. argillaquus mostly affects very-low density cups rather than density extremes. Further studies might reveal whether densities higher than 14 inds/400 ml yield distinct size patterns. All linear variables have positive loadings on PC1 (size variable), and size in higher-density cups is generally smaller than in single-individual cups. PC2 is driven by variable c. High c values often indicate aberrant forms, such as the specimen illustrated in figure 10D.
The analysis of the five variables that were easiest to obtain ( Table 5B) provides similar results, which shows that it is not essential to worry about variability in linear variables during data acquisition. Also, PC1 (as a measure of size) by population density is best fitted by a logarithmic relationship in E. argillaquus ( Fig. S1 View Fig ).
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