Journal ArticleDOI
A review of integrated analysis in fisheries stock assessment
Mark N. Maunder,André E. Punt +1 more
TLDR
This paper defines integrated analysis, describes its history and development, gives several examples, and describes the advantages of and problems with integrated analysis.About:
This article is published in Fisheries Research.The article was published on 2013-05-01. It has received 353 citations till now. The article focuses on the topics: Likelihood function & Population.read more
Citations
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Journal ArticleDOI
Stock synthesis: A biological and statistical framework for fish stock assessment and fishery management
TL;DR: 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.
Journal ArticleDOI
Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species
Amy Yee-Hui Then,Amy Yee-Hui Then,John M. Hoenig,Norman G. Hall,Norman G. Hall,David A. Hewitt +5 more
TL;DR: In this paper, the authors evaluate estimators based on various combinations of maximum age (tmax), growth parameters, and water temperature by seeing how well they reproduce >200 independent, direct estimates of M.
Journal ArticleDOI
Impacts of historical warming on marine fisheries production.
Christopher M. Free,Christopher M. Free,James T. Thorson,Malin L. Pinsky,Kiva L. Oken,Kiva L. Oken,John Wiedenmann,Olaf P. Jensen +7 more
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.
Journal ArticleDOI
Synthesizing multiple data types for biological conservation using integrated population models
TL;DR: This paper demonstrates how IPMs can be successfully implemented by synthesizing the elements, advantages, and novel insights of this modeling approach, and highlights the latest developments that are explicitly relevant to the ecology and conservation of threatened species.
Journal ArticleDOI
Managing living marine resources in a dynamic environment: The role of seasonal to decadal climate forecasts
Desiree Tommasi,Charles A. Stock,Alistair J. Hobday,Rick Methot,Isaac C. Kaplan,J. Paige Eveson,Kirstin K. Holsman,Timothy J. Miller,Sarah Gaichas,Marion Gehlen,Andrew J. Pershing,Gabriel A. Vecchi,Rym Msadek,Thomas L. Delworth,C. Mark Eakin,Melissa A. Haltuch,Roland Séférian,Claire M. Spillman,Jason R. Hartog,Samantha A. Siedlecki,Jameal F. Samhouri,Barbara A. Muhling,Rebecca G. Asch,Malin L. Pinsky,Vincent S. Saba,Sarah B. Kapnick,Carlos F. Gaitan,Ryan R. Rykaczewski,Michael A. Alexander,Yan Xue,Kathleen Pegion,Patrick D. Lynch,Mark R. Payne,Trond Kristiansen,Patrick Lehodey,Francisco E. Werner +35 more
TL;DR: In this article, the authors provide an overview of climate prediction systems and advances in seasonal to decadal prediction of marine-resource relevant environmental variables, and describe a range of climate-sensitive LMR decisions that can be taken at lead-times of months to decades.
References
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Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Proceedings Article
Information Theory and an Extention of the Maximum Likelihood Principle
TL;DR: The classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion to provide answers to many practical problems of statistical model fitting.
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Bayesian Data Analysis
TL;DR: Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided.