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A habitat‐based approach to predict impacts of marine protected areas on fishers

Overview of attention for article published in Conservation Biology, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
A habitat‐based approach to predict impacts of marine protected areas on fishers
Published in
Conservation Biology, June 2018
DOI 10.1111/cobi.12974
Pubmed ID
Authors

João B. Teixeira, Rodrigo L. Moura, Morena Mills, Carissa Klein, Christopher J. Brown, Vanessa M. Adams, Hedley Grantham, Matthew Watts, Deborah Faria, Gilberto M. Amado‐Filho, Alex C. Bastos, Reinaldo Lourival, Hugh P. Possingham

Abstract

While marine protected areas (MPAs) can simultaneously contribute to biodiversity conservation and fisheries management, the global network is biased towards particular ecosystem types, as it was largely established in an ad hoc fashion. The optimization of trade-offs between biodiversity benefits and socio-economic values increases implementation success and minimizes enforcement costs in the long run, but is often neglected in marine spatial planning (MSP). Although the acquisition of spatially explicit socioeconomic data is often perceived as a costly/secondary step in MSP, it is critical to account for lost opportunities by people whose activities will be restricted, especially fishers. Here we present an easily-reproducible habitat-based approach to estimate the spatial distribution of opportunity cost to fishers in data poor regions, assuming that the most accessible areas have higher values and their designation as no-take zones represents increased loss of fishing opportunities. Our method requires only habitat and bathymetric maps, a list of target species, the location of ports, and the relative importance for each port and/or vessel/gear type. The potential distribution of fishing resources is estimated from bathymetric ranges and benthic habitat distribution, while the relative importance of the different resources is estimated for each port, considering total catches (kg), revenues and/or stakeholder perception. Finally, the model can combine different cost layers to produce a comprehensive cost layer, and also allows for the evaluation of tradeoffs. The development of FishCake was based on data from a contentious conservation-planning arena (Abrolhos Bank, Brazil) in which attempts to expand MPA coverage failed due to fishers' resistance. The opportunity cost approach that we introduce herein allows for the incorporation of economic interests of different stakeholders and evaluation of tradeoffs among different stakeholder groups. The novel approach can be directly used to support conservation planning, in Abrolhos and elsewhere, and is expected to facilitate community consultation. This article is protected by copyright. All rights reserved.

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X Demographics

The data shown below were collected from the profiles of 21 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 16%
Researcher 16 13%
Student > Ph. D. Student 15 12%
Student > Bachelor 10 8%
Student > Doctoral Student 9 7%
Other 15 12%
Unknown 37 31%
Readers by discipline Count As %
Environmental Science 32 26%
Agricultural and Biological Sciences 19 16%
Earth and Planetary Sciences 7 6%
Biochemistry, Genetics and Molecular Biology 4 3%
Social Sciences 2 2%
Other 12 10%
Unknown 45 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 10 October 2018.
All research outputs
#2,547,769
of 25,083,571 outputs
Outputs from Conservation Biology
#1,333
of 4,026 outputs
Outputs of similar age
#50,504
of 334,860 outputs
Outputs of similar age from Conservation Biology
#21
of 36 outputs
Altmetric has tracked 25,083,571 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one has gotten more attention than average, scoring higher than 66% 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 334,860 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 84% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.