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If deterministic forces drive community assembly, locally co-occurring species will comprise a nonrandom sample of surrounding species pools. In addition, species traits should determine the degree to which they thrive in local environments. Specific types of nonrandom trait structure may suggest particular community assembly mechanisms such as environmental filtering and niche differentiation. Here we test alpine grass communities for functional overdispersion, regularity in trait differences, and the presence of species clusters in trait space. Our field sites follow a temperature gradient, which allows us to test for strength of trait pattern against local temperature. We find that ...  \end{abstract}  \section*{Introduction} \section{Introduction}  \section*{Methods} \section{Methods}  \subsection*{Data}  \rem{Explain sampling design} 
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To test for significance, for each of our sites in a given year we compare the metric value to the $(1-\alpha)$-quantile of the corresponding set of null communities. Of our five metrics, three (Rao, FDis, CV) are two-tailed, as both low and high values can be interpreted to suggest specific community assembly processes, while the other two (CVtrend, Clara) are one-tailed. We use significance level $\alpha=0.025$ for the two-tailed tests and $\alpha=0.05$ for the one-tailed tests.   \section*{Results} \section{Results}  \section*{Discussion} \section{Discussion}  \bibliography{AllRefs}  \bibliographystyle{ieeetr}