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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Fish and Fisheriesarrow_drop_down
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Fish and Fisheries
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
HAL INRAE
Article . 2016
Data sources: HAL INRAE
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Minimizing the impact of fishing

Authors: Froese, R.; Winker, H.; Gascuel, Didier; Sumaila, U. R.; Pauly, Daniel;

Minimizing the impact of fishing

Abstract

AbstractMinimizing the impact of fishing is an explicit goal in international agreements as well as in regional directives and national laws. To assist in practical implementation, three simple rules for fisheries management are proposed in this study: 1) take less than nature by ensuring that mortality caused by fishing is less than the natural rate of mortality; 2) maintain population sizes above half of natural abundance, at levels where populations are still likely to be able to fulfil their ecosystem functions as prey or predator; and 3) let fish grow and reproduce, by adjusting the size at first capture such that the mean length in the catch equals the length where the biomass of an unexploited cohort would be maximum (Lopt). For rule 3), the basic equations describing growth in age‐structured populations are re‐examined and a new optimum length for first capture (Lc_opt) is established. For a given rate of fishing mortality,Lc_optkeeps catch and profit near their theoretical optima while maintaining large population sizes. Application of the three rules would not only minimize the impact of fishing on commercial species, it may also achieve several goals of ecosystem‐based fisheries management, such as rebuilding the biomass of prey and predator species in the system and reducing collateral impact of fishing, because with more fish in the water, shorter duration of gear deployment is needed for a given catch. The study also addresses typical criticisms of these common sense rules for fisheries management.

Country
France
Keywords

570, 330, still, beverton, Fisheries, optimum size, life-history parameters, survival, at first capture, yield-per-recruit, [SDV.EE.ECO] Life Sciences [q-bio]/Ecology, environment/Ecosystems, ecosystem-based fisheries management, trade-off, Balanced harvesting, scenarios, size-matters, populations, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, fisheries management, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, invariants, environment/Ecosystems, population dynamics theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
136
Top 1%
Top 10%
Top 10%
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