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Incorporating larval dispersal into MPA design for both conservation and fisheries

Overview of attention for article published in Ecological Applications, March 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 policy source
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217 Mendeley
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Title
Incorporating larval dispersal into MPA design for both conservation and fisheries
Published in
Ecological Applications, March 2017
DOI 10.1002/eap.1495
Pubmed ID
Authors

Nils C. Krueck, Gabby N. Ahmadia, Alison Green, Geoffrey P. Jones, Hugh P. Possingham, Cynthia Riginos, Eric A. Treml, Peter J. Mumby

Abstract

Larval dispersal by ocean currents is a critical component of systematic marine protected area (MPA) design. However, there is a lack of quantitative methods to incorporate larval dispersal in support of increasingly diverse management objectives, including local population persistence under multiple types of threats (primarily focused on larval retention within and dispersal between protected locations) and benefits to unprotected populations and fisheries (primarily focused on larval export from protected locations to fishing grounds). Here, we present a flexible MPA design approach that can reconcile multiple such potentially conflicting management objectives by balancing various associated treatments of larval dispersal information. We demonstrate our approach based on alternative dispersal patterns, combinations of threats to populations, management objectives, and two different optimization strategies (site vs. network-based). Our outcomes highlight a consistently high efficiency in selecting priority locations that are self-replenishing, inter-connected, and/or important larval sources. We find that the opportunity to balance these three dispersal attributes flexibly can help not only to prevent meta-population collapse, but also to ensure effective fisheries recovery, with average increases in the number of recruits at fishing grounds at least two-times higher than achieved by standard habitat-based or ad-hoc MPA designs. Future applications of our MPA design approach should therefore be encouraged, specifically where management tools other than MPAs are not feasible. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Canada 1 <1%
Unknown 215 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 19%
Student > Ph. D. Student 37 17%
Student > Master 34 16%
Student > Bachelor 20 9%
Other 13 6%
Other 29 13%
Unknown 43 20%
Readers by discipline Count As %
Environmental Science 65 30%
Agricultural and Biological Sciences 59 27%
Earth and Planetary Sciences 13 6%
Biochemistry, Genetics and Molecular Biology 9 4%
Engineering 4 2%
Other 13 6%
Unknown 54 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 26 January 2021.
All research outputs
#5,157,780
of 24,761,242 outputs
Outputs from Ecological Applications
#1,213
of 3,340 outputs
Outputs of similar age
#85,650
of 312,956 outputs
Outputs of similar age from Ecological Applications
#37
of 68 outputs
Altmetric has tracked 24,761,242 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,340 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has gotten more attention than average, scoring higher than 63% 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 312,956 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.