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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Lauren Stoczynski</dc:contributor>
  <dc:contributor>Brandon K. Peoples</dc:contributor>
  <dc:contributor>Christopher J. Patrick</dc:contributor>
  <dc:contributor>Bryan L. Brown</dc:contributor>
  <dc:creator>Luke Max Bower</dc:creator>
  <dc:date>2023</dc:date>
  <dc:description>&lt;ol class=""&gt;&lt;li&gt;When investigating metacommunity dynamics, functional differences among species are often assumed to be as important as environmental differences between sites in determining β-diversity. However, few studies have examined the influence of functional diversity on β-diversity. We examine the relative importance of regional functional diversity partitioned by niche dimensions and environmental variation in structuring taxonomic β-diversity of stream fishes using a large dataset of stream fish assemblages (hereafter, simply β-diversity). We predicted that both functional diversity and environmental variation play a role in determining β-diversity.&lt;/li&gt;&lt;li&gt;We tested this prediction by modelling the patterns of stream fish β-diversity as a function of environmental variation, functional diversity and γ-richness across 10,220 sites for 329 fish species using a series of conceptual path models.&lt;/li&gt;&lt;li&gt;Environmental variation consistently affected β-diversity across all models, whereas functional diversity and γ-richness influenced β-diversity only in some models. We show that including relevant trait differences among species in path models can improve their ability to explain β-diversity, suggesting that functional traits influence β-diversity.&lt;/li&gt;&lt;li&gt;The ability of path models to explain β-diversity varied depending on the trait grouping included in the model, demonstrating that specific path models representing different niche dimensions can improve the ability of a model to explain β-diversity. In addition, parsing traits into different niche dimensions revealed alternative patterns of functional diversity–β-diversity relationships that otherwise would have been missed.&lt;/li&gt;&lt;li&gt;The selection of relevant traits and linked niche dimensions is critical for detecting relationships between functional diversity and β-diversity. Using traits associated with different niche dimensions allows for the identification of niche dimensions most strongly associated with species sorting and the detection of patterns missed by focusing on a single niche dimension. Determining the niche dimensions that influence β-diversity could provide insights into the processes driving biodiversity and metacommunity dynamics, improving our ability to conserve or restore aquatic communities.&lt;/li&gt;&lt;/ol&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1111/fwb.14036</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Wiley</dc:publisher>
  <dc:title>Multiple dimensions of functional diversity affect stream fish β-diversity</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>