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Grazer behavior can regulate large-scale patterning of community states

View ORCID ProfileVadim A. Karatayev, View ORCID ProfileMarissa L. Baskett, David J. Kushner, View ORCID ProfileNicholas T. Shears, View ORCID ProfileJennifer E. Caselle, View ORCID ProfileCarl Boettiger
doi: https://doi.org/10.1101/722215
Vadim A. Karatayev
1Department of Environmental Science and Policy, University of California, Davis, USA
2Graduate Group in Ecology, University of California, Davis, USA
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  • For correspondence: vkaratayev@ucdavis.edu
Marissa L. Baskett
1Department of Environmental Science and Policy, University of California, Davis, USA
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David J. Kushner
3Channel Islands National Park, Ventura, USA
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Nicholas T. Shears
4Leigh Marine Laboratory, Institute of Marine Science, University of Auckland, Auckland, New Zealand
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Jennifer E. Caselle
5Marine Science Institute, University of California Santa Barbara, Santa Barbara, USA
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Carl Boettiger
6Department of Environmental Science, Policy and Management, University of California, Berkeley, USA
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Abstract

Ecosystem patterning can arise from environmental heterogeneity, biological feedbacks that produce multiple persistent ecological states, or their interaction. One source of feed-backs is density-dependent changes in behavior that regulates species interactions. By fitting state-space models to large-scale (∼500km) surveys on temperate rocky reefs, we find that behavioral feedbacks best explain why kelp and urchin barrens form either reef-wide patches or local mosaics. Best-supported models in California include feedbacks where starvation intensifies grazing across entire reefs create reef-scale, alternatively stable kelp- and urchin-dominated states (32% of reefs). Best-fitting models in New Zealand include the feedback of urchins avoiding dense kelp stands that can increase abrasion and predation risk, which drives a transition from shallower urchin-dominated to deeper kelp-dominated zones, with patchiness at 3-8m depths with intermediate wave stress. Connecting locally-studied processes with region-wide data, we highlight how behavior can explain community patterning and why some systems exhibit community-wide alternative stable states.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Authorship statement: VAK and MLB conceived the study; VAK took the lead on designing the approach, performing the analysis and writing the manuscript, with substantial input from all authors.

  • Data accessibility statement: We use published data available from cited sources. Simulation and model fitting code available at: github.com/VadimKar/BehaviorPatternsCommunities.

  • Updated appendices, text, and figures for clarity.

  • https://github.com/VadimKar/BehaviorPatternsCommunities

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted June 17, 2021.
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Grazer behavior can regulate large-scale patterning of community states
Vadim A. Karatayev, Marissa L. Baskett, David J. Kushner, Nicholas T. Shears, Jennifer E. Caselle, Carl Boettiger
bioRxiv 722215; doi: https://doi.org/10.1101/722215
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Grazer behavior can regulate large-scale patterning of community states
Vadim A. Karatayev, Marissa L. Baskett, David J. Kushner, Nicholas T. Shears, Jennifer E. Caselle, Carl Boettiger
bioRxiv 722215; doi: https://doi.org/10.1101/722215

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