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Fish with Chips: Tracking Reef Fish Movements to Evaluate Size and Connectivity of Caribbean Marine Protected Areas

Overview of attention for article published in PLOS ONE, May 2014
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
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12 X users

Citations

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80 Dimensions

Readers on

mendeley
273 Mendeley
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Title
Fish with Chips: Tracking Reef Fish Movements to Evaluate Size and Connectivity of Caribbean Marine Protected Areas
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0096028
Pubmed ID
Authors

Simon J. Pittman, Mark E. Monaco, Alan M. Friedlander, Bryan Legare, Richard S. Nemeth, Matthew S. Kendall, Matthew Poti, Randall D. Clark, Lisa M. Wedding, Chris Caldow

Abstract

Coral reefs and associated fish populations have experienced rapid decline in the Caribbean region and marine protected areas (MPAs) have been widely implemented to address this decline. The performance of no-take MPAs (i.e., marine reserves) for protecting and rebuilding fish populations is influenced by the movement of animals within and across their boundaries. Very little is known about Caribbean reef fish movements creating a critical knowledge gap that can impede effective MPA design, performance and evaluation. Using miniature implanted acoustic transmitters and a fixed acoustic receiver array, we address three key questions: How far can reef fish move? Does connectivity exist between adjacent MPAs? Does existing MPA size match the spatial scale of reef fish movements? We show that many reef fishes are capable of traveling far greater distances and in shorter duration than was previously known. Across the Puerto Rican Shelf, more than half of our 163 tagged fish (18 species of 10 families) moved distances greater than 1 km with three fish moving more than 10 km in a single day and a quarter spending time outside of MPAs. We provide direct evidence of ecological connectivity across a network of MPAs, including estimated movements of more than 40 km connecting a nearshore MPA with a shelf-edge spawning aggregation. Most tagged fish showed high fidelity to MPAs, but also spent time outside MPAs, potentially contributing to spillover. Three-quarters of our fish were capable of traveling distances that would take them beyond the protection offered by at least 40-64% of the existing eastern Caribbean MPAs. We recommend that key species movement patterns be used to inform and evaluate MPA functionality and design, particularly size and shape. A re-scaling of our perception of Caribbean reef fish mobility and habitat use is imperative, with important implications for ecology and management effectiveness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
Brazil 2 <1%
Tanzania, United Republic of 1 <1%
Sweden 1 <1%
Germany 1 <1%
Jamaica 1 <1%
Jersey 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 262 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 63 23%
Researcher 48 18%
Student > Ph. D. Student 46 17%
Student > Bachelor 34 12%
Other 14 5%
Other 35 13%
Unknown 33 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 123 45%
Environmental Science 80 29%
Earth and Planetary Sciences 11 4%
Engineering 5 2%
Biochemistry, Genetics and Molecular Biology 4 1%
Other 7 3%
Unknown 43 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 17 September 2014.
All research outputs
#2,127,529
of 25,738,558 outputs
Outputs from PLOS ONE
#25,874
of 224,222 outputs
Outputs of similar age
#20,637
of 242,718 outputs
Outputs of similar age from PLOS ONE
#598
of 4,756 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,222 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 88% 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 242,718 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 4,756 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.