Appendix A. Detailed derivation of the Price equation partition, and a worked example.

Detailed derivation of the Price equation partition, and a worked example

SM_A3_Rcode_rquantwebs

R code for the algorithm used to generate random interaction frequency matrices from the different probability models used in the study

SM_A2_rawdata_full

Excel file with separate worksheets including: Raw visitation data, aggregate network, plant densities, and morphology classification matrices for plants and pollinators

Appendix B. A derivation of a generalization of the Price Equation partition to non-nested sets of species, showing that relaxing the assumption of strict nestedness is possible, but that the resulting generalization of the Price Equation partition is of limited utility.

A derivation of a generalization of the Price Equation partition to non-nested sets of species, showing that relaxing the assumption of strict nestedness is possible, but that the resulting generalization of the Price Equation partition is of limited utility

Appendix A. A table of ecosystem functions to which the Price Equation does or does not apply.

A table of ecosystem functions to which the Price Equation does or does not apply

The long-term evolution experiment.

<p>The experiment involves daily transfers of 12 <i>E</i>. <i>coli</i> populations, and it has been running for over a quarter century. <i>Image credit: Composite image by Richard Lenski and Brian Baer, Michigan State University.</i></p

Growth rate of lake bacteria in water samples from Alberta lakes, with data on water chemistry and taxonomic identity

Please see readme file

Petri plates aplenty.

<p>Former student, now postdoc, Zachary Blount and Richard Lenski horsing around with some of the Petri dishes from Blount's work on the evolution of citrate utilization in one population. <i>Image credit: Brian Baer, Michigan State University.</i></p

All data files

All the data files. See readme file for details

Individual researchers review completion rate, with separate graphs corresponding to the year the researchers entered the database.

<p>Lines are predictions from a quasibinomial response variable model with number of submissions, year of first submission, and their interaction, as continuous explanatory variables. The data analysed was limited to individual researchers with less than six submission, in order to avoid comparing across very different ranges of number of submissions. The model was part of an exploratory analysis, so use of p-values is inappropriate. X-axis values are jittered slightly</p