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The biogeography of community assembly: latitude and predation drive variation in community trait distribution in a guild of epifaunal crustaceans Gross, Collin; Gross, Collin; Duffy, J; Hovel, Kevin; Kardish, Melissa; Reynolds, Pamela; Boström, Christoffer; Boyer, Katharyn; Cusson, Mathiew; Eklöf, Johan; Engelen, Aschwin; Eriksson, Klemens; Fodrie, Joel; Griffin, John; Hereu, Clara; Hori, Masakazu; Hughes, A Randall; Ivanov, Mikhail; Jorgensen, Pablo; Kruschel, Claudia; Lee, Kun-Seop; Lefcheck, Jonathan; McGlathery, Karen; Moksnes, Per-Olav; Nakaoka, Masahiro; O'Connor, Mary; O’Connor, Nessa; Olsen, Jeanine; Orth, Robert; Peterson, Bradley; Reiss, Henning; Rossi, Francesca; Ruesink, Jennifer; Sotka, Erik; Thormar, Jonas; Tomas, Fiona; Unsworth, Richard; Voigt, Erin; Whalen, Matt; Ziegler, Shelby; Stachowicz, Jay
Description
<b>Abstract</b><br/>
While considerable evidence exists of biogeographic patterns in the intensity of species interactions, the influence of these patterns on variation in community structure is less clear. Using a model selection approach on measures of trait dispersion in crustaceans associated with eelgrass (<i>Zostera marina</i>) spanning 30º of latitude in two oceans, we found that dispersion strongly increased with increasing predation and decreasing latitude. Ocean and epiphyte load appeared as secondary predictors; Pacific communities were more overdispersed while Atlantic communities were more clustered, and increasing epiphytes were associated with increased clustering. By examining how species interactions and environmental filters influence community structure across biogeographic regions, we demonstrate how both latitudinal variation in species interactions and historical contingency shape these responses. Community trait distributions have implications for ecosystem stability and functioning, and integrating large-scale observations of environmental filters, species interactions, and traits can help us predict how communities may respond to environmental change.</p>; <b>Methods</b><br />
See main manuscript for details. </p>
Item Metadata
| Title |
The biogeography of community assembly: latitude and predation drive variation in community trait distribution in a guild of epifaunal crustaceans
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| Creator |
Gross, Collin; Gross, Collin; Duffy, J; Hovel, Kevin; Kardish, Melissa; Reynolds, Pamela; Boström, Christoffer; Boyer, Katharyn; Cusson, Mathiew; Eklöf, Johan; Engelen, Aschwin; Eriksson, Klemens; Fodrie, Joel; Griffin, John; Hereu, Clara; Hori, Masakazu; Hughes, A Randall; Ivanov, Mikhail; Jorgensen, Pablo; Kruschel, Claudia; Lee, Kun-Seop; Lefcheck, Jonathan; McGlathery, Karen; Moksnes, Per-Olav; Nakaoka, Masahiro; O'Connor, Mary; O’Connor, Nessa; Olsen, Jeanine; Orth, Robert; Peterson, Bradley; Reiss, Henning; Rossi, Francesca; Ruesink, Jennifer; Sotka, Erik; Thormar, Jonas; Tomas, Fiona; Unsworth, Richard; Voigt, Erin; Whalen, Matt; Ziegler, Shelby; Stachowicz, Jay
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| Date Issued |
2022-02-02
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| Description |
<b>Abstract</b><br/>
While considerable evidence exists of biogeographic patterns in the intensity of species interactions, the influence of these patterns on variation in community structure is less clear. Using a model selection approach on measures of trait dispersion in crustaceans associated with eelgrass (<i>Zostera marina</i>) spanning 30º of latitude in two oceans, we found that dispersion strongly increased with increasing predation and decreasing latitude. Ocean and epiphyte load appeared as secondary predictors; Pacific communities were more overdispersed while Atlantic communities were more clustered, and increasing epiphytes were associated with increased clustering. By examining how species interactions and environmental filters influence community structure across biogeographic regions, we demonstrate how both latitudinal variation in species interactions and historical contingency shape these responses. Community trait distributions have implications for ecosystem stability and functioning, and integrating large-scale observations of environmental filters, species interactions, and traits can help us predict how communities may respond to environmental change.</p>; <b>Methods</b><br /> See main manuscript for details. </p> |
| Subject | |
| Type | |
| Notes |
Dryad version number: 3</p> Version status: submitted</p> Dryad curation status: Published</p> Sharing link: https://datadryad.org/stash/share/aDp4ta-Y8eERJgonEaHH2t-q6Q6P8ZEF93AO069ailk</p> Storage size: 223712</p> Visibility: public</p> |
| Date Available |
2022-02-02
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| Provider |
University of British Columbia Library
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| License |
CC0 1.0
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| DOI |
10.14288/1.0406467
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| URI | |
| Publisher DOI | |
| Grant Funding Agency |
National Science Foundation; Åbo Akedemi University Foundation*
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| Rights URI | |
| Aggregated Source Repository |
Dataverse
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Licence
CC0 1.0