Appendix B. Examination of the effectiveness of the experimental perturbations.

Examination of the effectiveness of the experimental perturbations

Appendix E. Results of permutational pairwise post hoc tests.

Results of permutational pairwise post hoc tests

Appendix C. The effects of experimental treatments on periphyton biomass and benthic invertebrate abundance and diversity.

The effects of experimental treatments on periphyton biomass and benthic invertebrate abundance and diversity

Appendix A. The distribution of perturbations across each experimental treatment.

The distribution of perturbations across each experimental treatment

Predicting lake alkalinity and depth for classifying Irish lakes using the Water Framework Directive typology.

Presentation given to the Annual Meeting of Irish Freshwater Biologists, Trinity College Dublin, March 4th, 2016.<br

Data from: Penk et al 2016 Journal of Animal Ecology

<p>Experimental energy budgets of <em>Hemimysis anomala</em> and <em>Mysis salemaai</em>, and Lough Derg (Shannon, Ireland) temperatures</p

Summary of the best HREG models, with their respective DIC values and relative DIC differences compared to the null model (i.e., no harmonics; ΔDIC) for each of the study lakes, and description of the trend mean coefficient <i>β</i>_<i>1</i>, seasonal P₁: <i>U</i> (6 months, 18 months) and cyclic P₂: <i>U</i> (24, 132) and P₃: <i>U</i> (144, N) components along with their corresponding 95% credible intervals (in parentheses).

<p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0119253#pone.0119253.s001" target="_blank">S1 Table</a> for details on competing models.</p><p>Summary of the best HREG models, with their respective DIC values and relative DIC differences compared to the null model (i.e., no harmonics; ΔDIC) for each of the study lakes, and description of the trend mean coefficient <i>β</i>_<i>1</i>, seasonal P₁: <i>U</i> (6 months, 18 months) and cyclic P₂: <i>U</i> (24, 132) and P₃: <i>U</i> (144, N) components along with their corresponding 95% credible intervals (in parentheses).</p

Predicted mean water level trends (squares) and 95% credible intervals (crosses) for the studied lakes.

<p>Closed symbols correspond to lakes subject to abstraction activities with background bars corresponding to their respective current (2008–2009) annual abstraction volumes. Highly probable trends are those for which their credible intervals do not intersect the red zero-threshold line.</p

Appendix C. Results of PERMANOVA analyses examining the effects of lake alkalinity and trophic status on the relative variability of the spatial distances among lakes sampled for invertebrates.

Results of PERMANOVA analyses examining the effects of lake alkalinity and trophic status on the relative variability of the spatial distances among lakes sampled for invertebrates

Comparison between trend estimates using a single or a multi-harmonic model.

<p>Long-term trends in mean lake water levels estimated using a single seasonal harmonic model (x-axis) or a model incorporating seasonality and inter-annual / multi-decadal cycles (y-axis) for lakes better described by a multi-harmonic model. The solid line is the linear regression relationship; the red dotted line shows the 1:1 line.</p