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Stock synthesis: A biological and statistical framework for fish stock assessment and fishery management

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TLDR
Stock synthesis implements compensatory population dynamics through use of a function relating mean recruitment to spawner reproductive output that enhances the ability of SS to operate in data-weak situations and enables it to estimate fishery management quantities such as fishing rates that would provide for maximum sustainable yield.
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This article is published in Fisheries Research.The article was published on 2013-05-01. It has received 560 citations till now. The article focuses on the topics: Population & Maximum sustainable yield.

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Management strategy evaluation: best practices

TL;DR: How MSEs are conducted and characterizes current ‘best practice’ guidelines are explored, while also indicating whether and how these best practices were applied to two case-studies.
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A review of integrated analysis in fisheries stock assessment

TL;DR: This paper defines integrated analysis, describes its history and development, gives several examples, and describes the advantages of and problems with integrated analysis.
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Impacts of historical warming on marine fisheries production.

TL;DR: Temperature-dependent population models were used to measure the influence of warming on the productivity of 235 populations of 124 species in 38 ecoregions, finding an overall reduction in yield has occurred over the past 80 years.
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An integrated approach is needed for ecosystem based fisheries management: insights from ecosystem-level management strategy evaluation.

TL;DR: Although particular to one fishery, the conclusion that an integrated package of measures outperforms single focus measures is likely to apply widely in fisheries that aim to achieve EBFM goals.
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Geostatistical delta-generalized linear mixed models improve precision for estimated abundance indices for West Coast groundfishes

TL;DR: In this paper, Thorson et al. proposed a method to estimate the abundance of fish in the Pacific Ocean using a fishery resource assessment and monitoring (FRAM) system.
References
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Journal ArticleDOI

AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models

TL;DR: The basic components and the underlying philosophy of ADMB are described, with an emphasis on functionality found in no other statistical software, and the main advantages are flexibility, speed, precision, stability and built-in methods to quantify uncertainty.
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Some aspects of the dynamics of populations important to the management of the commercial marine fisheries

TL;DR: In order to apply the theory developed here to the tropical tuna fishery, it will be necessary to compile statistics of catch, abundance and intensity of fishing over a considerable series of years, beginning as early in the history of the fishery as possible.
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A Versatile Growth Model with Statistically Stable Parameters

TL;DR: A new comprehensive growth model is presented which includes numerous historical models as special cases and is derived from a concise biological principle which, unlike earlier theories, relates to growth acceleration.
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