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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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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 > Postgraduate 6 4%
Other 19 12%
Unknown 36 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 36%
Environmental Science 43 27%
Social Sciences 5 3%
Earth and Planetary Sciences 4 3%
Unspecified 3 2%
Other 6 4%
Unknown 41 26%