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Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient

Overview of attention for article published in PLOS ONE, May 2013
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Title
Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063797
Pubmed ID
Authors

Mariska Weijerman, Elizabeth A. Fulton, Frank A. Parrish

Abstract

Three trophic mass-balance models representing coral reef ecosystems along a fishery gradient were compared to evaluate ecosystem effects of fishing. The majority of the biomass estimates came directly from a large-scale visual survey program; therefore, data were collected in the same way for all three models, enhancing comparability. Model outputs-such as net system production, size structure of the community, total throughput, production, consumption, production-to-respiration ratio, and Finn's cycling index and mean path length-indicate that the systems around the unpopulated French Frigate Shoals and along the relatively lightly populated Kona Coast of Hawai'i Island are mature, stable systems with a high efficiency in recycling of biomass. In contrast, model results show that the reef system around the most populated island in the State of Hawai'i, O'ahu, is in a transitional state with reduced ecosystem resilience and appears to be shifting to an algal-dominated system. Evaluation of the candidate indicators for fishing pressure showed that indicators at the community level (e.g., total biomass, community size structure, trophic level of the community) were most robust (i.e., showed the clearest trend) and that multiple indicators are necessary to identify fishing perturbations. These indicators could be used as performance indicators when compared to a baseline for management purposes. This study shows that ecosystem models can be valuable tools in identification of the system state in terms of complexity, stability, and resilience and, therefore, can complement biological metrics currently used by monitoring programs as indicators for coral reef status. Moreover, ecosystem models can improve our understanding of a system's internal structure that can be used to support management in identification of approaches to reverse unfavorable states.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Mexico 2 1%
Malaysia 1 <1%
India 1 <1%
Indonesia 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 150 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 21%
Student > Ph. D. Student 29 18%
Researcher 28 18%
Student > Doctoral Student 8 5%
Student > Bachelor 6 4%
Other 17 11%
Unknown 38 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 36%
Environmental Science 44 28%
Social Sciences 5 3%
Earth and Planetary Sciences 4 3%
Engineering 2 1%
Other 4 3%
Unknown 43 27%
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 31 May 2013.
All research outputs
#18,339,860
of 22,711,242 outputs
Outputs from PLOS ONE
#154,151
of 193,913 outputs
Outputs of similar age
#146,213
of 195,114 outputs
Outputs of similar age from PLOS ONE
#3,632
of 4,758 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 4,758 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.