Supplement 1. BUGS code for implementing the hierarchical spatially-varying threshold model described in the text.

<h2>File List</h2><div> <a href="BUGS_code.txt">BUGS_code.txt</a> (MD5: b46c68b26ad9085375d718ceb9d9213b)</div><h2>Description</h2><div> <p>BUGS code for fitting a hierarchical Bayesian threshold model.</p> </div

DataSheet1_Microplastics in mainstem Mississippi River fishes.CSV

Microplastics are ubiquitous in Earth’s ecosystems and many efforts have begun to understand their distributions. Large rivers, like the Mississippi River, provide a unique system in which to look at large-scale patterns of microplastic distribution. In this study, we sampled four species of widely-distributed fishes from five sites along the mainstem Mississippi River, from Minnesota to Louisiana, United States. Microplastics were found in all fish species and at all sites; however, microplastics increased in occurrence in the Lower Mississippi River. Fragments were the most common morphologies and polypropylene was the most common polymer detected. We also examined the hypothesis that microplastic loads in fishes increased downstream, but found support for this hypothesis only when examining Largemouth Bass; Flathead Catfish, Shortnose Gar, and Bluegill were all found to have similar microplastic loads along the mainstem Mississippi River. It is clear that microplastics are heterogeneously distributed throughout ecosystems, and further understanding of microplastic distributional patterns and varying species burdens are needed to fully understand threats that microplastics present.</p

Definitions and summary statistics of variables used in generalized linear mixed models predicting citation rates of ecological research articles.

<p>Definitions and summary statistics of variables used in generalized linear mixed models predicting citation rates of ecological research articles.</p

Relative importance (vertical) and standardized effect size (±95% confidence intervals) (horizontal) of 5-year journal impact factor, Twitter reach, number of tweets, and time since publication in generalized linear mixed models predicting the number of Web of Science citations of 1,599 primary ecological research articles published in 20 journals between 2012 and 2014.

<p>Note that relative importance of number of tweets is also 1.0, but is offset to display confidence intervals.</p

Standardized effect sizes (±standard error) of variables affecting the number of Web of Science citations received by 1,599 primary research articles published in ecology journals between 2012 and 2014.

<p>Standardized effect sizes (±standard error) of variables affecting the number of Web of Science citations received by 1,599 primary research articles published in ecology journals between 2012 and 2014.</p

Impact factors, number of issues per year, and number of articles sampled from twenty ecological research journals.

<p>Impact factors, number of issues per year, and number of articles sampled from twenty ecological research journals.</p

Model-predicted number of Web of Science citations an article received as a function of (a) the number of tweets about that article and (b) time since the article was published.

<p>The solid black line represents a fitted line from predicted values bounded by standard error (gray).</p