Frequency distributions for δ¹³C and δ¹⁵N values in empirical data set used in this study.

<p>Isotope values of perch (upper panels) and roach (lower panels) populations from Lake Jyväsjärvi showing their peaked and skewed distributions (Skewness: perch δ¹³C = 1.896, δ¹⁵N = −1.443; roach δ¹³C = 1.162, δ¹⁵N = −0.883 Kurtosis: perch δ¹³C = 4.816, δ¹⁵N = 2.501; roach δ¹³C = 1.239, δ¹⁵N = 0.746).</p

Population isotopic niche width modelling using increasing sample size.

<p>Perch (left panel) and roach (right panel) population datasets were used to estimate the convex hull TA, SEA and SEA_c calculated for 5000 random selections of individuals with increasing sample size (<i>n</i>+5). Lines represent the upper 97.5%, 75%, 50% and lower 25% and 2.5% percentiles for the niche area estimates after each 5000 resamplings with increasing sample size. The solid grey line indicates the observed “true” total niche area for each metric (<i>n</i> = 202 for perch and <i>n</i> = 173 for roach).</p

Frequency distribution of sample sizes for estimating population niche widths in published studies using stable isotope methods (TA or SEA).

<p>The data were sourced through literature search in ISI Web of Knowledge and Scopus and publications are listed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0056094#pone.0056094.s001" target="_blank">Appendix S1</a>.</p

Isotopic niche widths calculated using simulated data.

<p>The data followed a multivariate normal distribution, but otherwise matched the empirical roach and perch isotope data with identical sample size, sample means and variance-covariance matrix. Lines represent the upper 97.5%, 75%, 50% and lower 25% and 2.5% percentiles for the niche area estimates after each 5000 resamplings with increasing sample size (<i>n</i>+5) from the simulated perch (left panel) and roach (right panel) populations.</p

Perch and roach isotope niche width estimates from Lake Jyväsjärvi.

<p>Standard ellipse areas (SEA, solid lines) and convex hull TA (dashed lines) are estimated for perch (grey symbols and lines) and roach (black symbols and lines) populations using SIBER <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0056094#pone.0056094-Jackson1" target="_blank">[18]</a>.</p

EQR vs_ecosystem functions & services Tolonen et al. Fig. 6

Data used to draw figure 6 in Tolonen et al. (2014) i.e. combined ecological status in relation to species diversity of a) phytoplankton, b) zooplankton and c) macroinvertebrates, ecosystem functions parameters including d) phytoplankton, e) bacterial and f) zooplankton production, and g) trophic transfer efficiency of phytoplankton to zooplankton production, and ecosystem services related to fisheries h) CPUE gill-net catch of local fishermen and i) density of coregonid larvae

Lake Paijanne loading Tolonen et al. Fig. 1

Nutrient and organic loading in northern and central Lake Paijanne, Finland from 1960 to 2012

Lake Paijanne oxygen data Tolonen et al. Fig. 4

Oxygen concentrations in the sub-basins of Lake Paijanne from 1960s to 2012

Lake Paijanne TP_TN_data Tolonen et al. Fig_2 & 3

This Excel-table contains data used to result the figures 2 and 3 of the paper: Tolonen et al. 2014. The relevance of ecological status to ecosystem functions and services in a large boreal lake. Journal of Applied Ecology. doi: 10.1111/1365-2664.12245

Lake Paijanne ecologica quality ratios Tolonen et al. Fig. 5

Temporal variation of ecological status (1965-2012), expressed as ecological quality ratios, of Lake Paijanne. Ecological quality ratios given separately for different quality elements: water quality, phytoplankton and profundal macroinvertebrates as well as for combined ecological status