↓ Skip to main content

Non-Linear Interactions between Consumers and Flow Determine the Probability of Plant Community Dominance on Maine Rocky Shores

Overview of attention for article published in PLOS ONE, August 2013
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
40 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Non-Linear Interactions between Consumers and Flow Determine the Probability of Plant Community Dominance on Maine Rocky Shores
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0067625
Pubmed ID
Authors

Brian R. Silliman, Michael W. McCoy, Geoffrey C. Trussell, Caitlin M. Crain, Patrick J. Ewanchuk, Mark D. Bertness

Abstract

Although consumers can strongly influence community recovery from disturbance, few studies have explored the effects of consumer identity and density and how they may vary across abiotic gradients. On rocky shores in Maine, recent experiments suggest that recovery of plant- or animal- dominated community states is governed by rates of water movement and consumer pressure. To further elucidate the mechanisms of consumer control, we examined the species-specific and density-dependent effects of rocky shore consumers (crabs and snails) on community recovery under both high (mussel dominated) and low flow (plant dominated) conditions. By partitioning the direct impacts of predators (crabs) and grazers (snails) on community recovery across a flow gradient, we found that grazers, but not predators, are likely the primary agent of consumer control and that their impact is highly non-linear. Manipulating snail densities revealed that herbivorous and bull-dozing snails (Littorina littorea) alone can control recovery of high and low flow communities. After ∼1.5 years of recovery, snail density explained a significant amount of the variation in macroalgal coverage at low flow sites and also mussel recovery at high flow sites. These density-dependent grazer effects were were both non-linear and flow-dependent, with low abundance thresholds needed to suppress plant community recovery, and much higher levels needed to control mussel bed development. Our study suggests that consumer density and identity are key in regulating both plant and animal community recovery and that physical conditions can determine the functional forms of these consumer effects.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Student > Ph. D. Student 6 15%
Student > Bachelor 6 15%
Researcher 5 13%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 8 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 48%
Environmental Science 7 18%
Arts and Humanities 1 3%
Social Sciences 1 3%
Engineering 1 3%
Other 0 0%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2013.
All research outputs
#20,888,579
of 23,511,526 outputs
Outputs from PLOS ONE
#180,496
of 201,404 outputs
Outputs of similar age
#175,378
of 199,237 outputs
Outputs of similar age from PLOS ONE
#4,246
of 4,868 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 201,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 199,237 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,868 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.