DOI

  • Collin P. Gross
  • J. Emmett Duffy
  • Kevin A. Hovel
  • Melissa R. Kardish
  • Pamela L. Reynolds
  • Christoffer Boström
  • Katharyn E. Boyer
  • Mathieu Cusson
  • Johan Eklöf
  • Aschwin H. Engelen
  • Britas Klemens Eriksson
  • F. Joel Fodrie
  • John N. Griffin
  • Clara M. Hereu
  • Masakazu Hori
  • A. Randall Hughes
  • Pablo Jorgensen
  • Claudia Kruschel
  • Kun Seop Lee
  • Jonathan Lefcheck
  • Karen McGlathery
  • Per Olav Moksnes
  • Masahiro Nakaoka
  • Mary I. O Connor
  • Nessa E. O Connor
  • Jeanine L. Olsen
  • Robert J. Orth
  • Bradley J. Peterson
  • Henning Reiss
  • Francesca Rossi
  • Jennifer Ruesink
  • Erik E. Sotka
  • Jonas Thormar
  • Fiona Tomas
  • Richard Unsworth
  • Erin P. Voigt
  • Matthew A. Whalen
  • Shelby L. Ziegler
  • John J. Stachowicz

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. Studying how the distributions of traits in communities vary along global gradients can inform how variation in interactions and other factors contribute to the process of community assembly. Using a model selection approach on measures of trait dispersion in crustaceans associated with eelgrass (Zostera marina) spanning 30° 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.

Язык оригиналаанглийский
Номер статьи20211762
ЖурналProceedings of the Royal Society B: Biological Sciences
Том289
Номер выпуска1969
DOI
СостояниеОпубликовано - 23 фев 2022

    Предметные области Scopus

  • Земледелие и биологические науки (все)
  • Науки об окружающей среде (все)
  • Иммунология и микробиология (все)
  • Биохимия, генетика и молекулярная биология (все)

ID: 99659389