↓ Skip to main content

Predator-Induced Fleeing Behaviors in Phytoplankton: A New Mechanism for Harmful Algal Bloom Formation?

Overview of attention for article published in PLOS ONE, September 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
10 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
130 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
Predator-Induced Fleeing Behaviors in Phytoplankton: A New Mechanism for Harmful Algal Bloom Formation?
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0046438
Pubmed ID
Authors

Elizabeth L. Harvey, Susanne Menden-Deuer

Abstract

In the plankton, heterotrophic microbes encounter and ingest phytoplankton prey, which effectively removes >50% of daily phytoplankton production in the ocean and influences global primary production and biochemical cycling rates. Factors such as size, shape, nutritional value, and presence of chemical deterrents are known to affect predation pressure. Effects of movement behaviors of either predator or prey on predation pressure, and particularly fleeing behaviors in phytoplankton are thus far unknown. Here, we quantified individual 3D movements, population distributions, and survival rates of the toxic phytoplankton species, Heterosigma akashiwo in response to a ciliate predator and predator-derived cues. We observed predator-induced defense behaviors previously unknown for phytoplankton. Modulation of individual phytoplankton movements during and after predator exposure resulted in an effective separation of predator and prey species. The strongest avoidance behaviors were observed when H. akashiwo co-occurred with an actively grazing predator. Predator-induced changes in phytoplankton movements resulted in a reduction in encounter rate and a 3-fold increase in net algal population growth rate. A spatially explicit population model predicted rapid phytoplankton bloom formation only when fleeing behaviors were incorporated. These model predictions reflected field observations of rapid H. akashiwo harmful algal bloom (HAB) formation in the coastal ocean. Our results document a novel behavior in phytoplankton that can significantly reduce predation pressure and suggests a new mechanism for HAB formation. Phytoplankton behaviors that minimize predatory losses, maximize resource acquisition, and alter community composition and distribution patterns could have major implications for our understanding and predictive capacity of marine primary production and biochemical cycling rates.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
New Zealand 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 123 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 20%
Student > Ph. D. Student 25 19%
Student > Bachelor 18 14%
Student > Master 16 12%
Professor > Associate Professor 6 5%
Other 21 16%
Unknown 18 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 32%
Environmental Science 37 28%
Earth and Planetary Sciences 9 7%
Biochemistry, Genetics and Molecular Biology 7 5%
Unspecified 2 2%
Other 8 6%
Unknown 25 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 06 July 2022.
All research outputs
#3,273,485
of 22,797,621 outputs
Outputs from PLOS ONE
#43,053
of 194,562 outputs
Outputs of similar age
#23,762
of 172,358 outputs
Outputs of similar age from PLOS ONE
#734
of 4,427 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 77% of its peers.
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 172,358 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 4,427 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.