Integrated Modeling of Fisheries PDF Download

Author: Jan Tjeerd-Boom
Publisher: Nordic Council of Ministers
ISBN: 928931740X
Category : Fisheries
Languages : en
Pages : 56

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Author: National Research Council
Publisher: National Academies Press
ISBN: 0309174406
Category : Technology & Engineering
Languages : en
Pages : 194

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Book Description
Ocean harvests have plateaued worldwide and many important commercial stocks have been depleted. This has caused great concern among scientists, fishery managers, the fishing community, and the public. This book evaluates the major models used for estimating the size and structure of marine fish populations (stock assessments) and changes in populations over time. It demonstrates how problems that may occur in fisheries dataâ€"for example underreporting or changes in the likelihood that fish can be caught with a given type of gearâ€"can seriously degrade the quality of stock assessments. The volume makes recommendations for means to improve stock assessments and their use in fishery management.

Author: Malcolm Haddon
Publisher: CRC Press
ISBN: 9781584881773
Category : Mathematics
Languages : en
Pages : 428

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Book Description
Quantitative methods and mathematical modelling are of critical importance to fishery science and management but, until now, there has been no book that offers the sharp focus, methodological detail, and practical examples needed by non-specialist fishery scientists and managers, and ecologists. Modelling and Quantitative Methods in Fisheries fills that void. To date, methodology books in fisheries science have been limited to cookbook approach to problems; simple compilations; or expositions in which either too much theory or insufficient methodological detail is given. The text is organized into three sections: an introduction to modelling in fisheries and ecology, a straight methodology section covering a range of methods, and a section focusing on specific fields in fisheries science. This book is timely as it addresses a topic of recent debate in fisheries and ecology, describing and comparing the uses of Least Squares, Maximum Likelihood, and Bayesian quantitative methods. Designed as stand-alone units, each chapter provides examples from both classic and recent literature and comes with dedicated Excel spreadsheets that permit you to delve into every detail of the analysis. All of these spreadsheets serve as active examples, which can easily be modified and customized and can be used as templates for analyzing your own data. The spreadsheets permit you to learn at your own speed and cover the simplest linear regression to the more complex non-linear modelling using maximum likelihood. Data analysis and modelling are best learned by doing and not just by reading. This book illustrates, step by step, the analyses it covers. More detailed in terms of introductory quantitative methods and modelling as applied to fisheries than any other book available, Modelling and Quantitative Methods in Fisheries gives you the advantage by supplying the full details of the analysis so that understanding the material is a matter of following the book.

Author: Éva E. Plagányi
Publisher: Food & Agriculture Org.
ISBN: 9789251057346
Category : Technology & Engineering
Languages : en
Pages : 128

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This report reviews the methods available for examining ecosystem dynamics and assessing the impact of interactions between ecosystems and human activities, particularly fisheries, and their implications for marine fisheries management. It focuses on the currently available models representative of general types such as bionergetic models, predator-prey models and minimally realistic models; with short descriptions given of model parameters, assumptions and data requirements. It discusses the advantages, disadvantages and limitations of each of the approaches; and concludes with some recommendations for the future development of multi-species and ecosystem models.

Author: Jason Link
Publisher: Cambridge University Press
ISBN: 1139493027
Category : Nature
Languages : en
Pages :

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Responsible fisheries management is of increasing interest to the scientific community, resource managers, policy makers, stakeholders and the general public. Focusing solely on managing one species of fish stock at a time has become less of a viable option in addressing the problem. Incorporating more holistic considerations into fisheries management by addressing the trade-offs among the range of issues involved, such as ecological principles, legal mandates and the interests of stakeholders, will hopefully challenge and shift the perception that doing ecosystem-based fisheries management is unfeasible. Demonstrating that EBFM is in fact feasible will have widespread impact, both in US and international waters. Using case studies, underlying philosophies and analytical approaches, this book brings together a range of interdisciplinary topics surrounding EBFM and considers these simultaneously, with an aim to provide tools for successful implementation and to further the debate on EBFM, ultimately hoping to foster enhanced living marine resource management.

Author: Malcolm Haddon
Publisher: CRC Press
ISBN: 1000079236
Category : Technology & Engineering
Languages : en
Pages : 353

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Book Description
Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students. Featured Chapters: Model Parameter Estimation provides a detailed explanation of the requirements and steps involved in fitting models to data, using R and, mainly, maximum likelihood methods. On Uncertainty uses R to implement bootstrapping, likelihood profiles, asymptotic errors, and Bayesian posteriors to characterize any uncertainty in an analysis. The use of the Monte Carlo Markov Chain methodology is examined in some detail. Surplus Production Models applies all the methods examined in the earlier parts of the book to conducting a stock assessment. This included fitting alternative models to the available data, characterizing the uncertainty in different ways, and projecting the optimum models forward in time as the basis for providing useful management advice.

Author: Daniel Pauly
Publisher: Island Press
ISBN: 1610917693
Category : Nature
Languages : en
Pages : 519

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Book Description
The Global Atlas of Marine Fisheries is the first and only book to provide accurate, country-by-country fishery catch data. This groundbreaking information has been gathered from independent sources by the world's foremost fisheries experts. Edited by Daniel Pauly and Dirk Zeller of the Sea Around Us Project, the Atlas includes one-page reports on 273 countries and their territories, plus fourteen topical global chapters. Each national report describes the current state of the country's fishery; the policies, politics, and social factors affecting it; and potential solutions. The global chapters address cross-cutting issues, from the economics of fisheries to the impacts of mariculture. Extensive maps and graphics offer attractive and accessible visual representations.

Author: Robert E. Schapire
Publisher: MIT Press
ISBN: 0262526034
Category : Computers
Languages : en
Pages : 544

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Book Description
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.

Author: Jack A. Mathias
Publisher: Taylor & Francis
ISBN: 0429605617
Category : Nature
Languages : en
Pages : 436

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If you are looking for wide-ranging international coverage of all aspects of integrated fish forming, this is the book you need. With a carefully selected and fully interdisciplinary collection of papers from experts around the world, Integrated Fish Farming provides thorough, detailed coverage of one of the world's most important approaches to integrated farming systems. Integrated Fish Fanning places IFF in a global context, reporting on case studies of successful IFF operations, experiments to enhance IFF performance, bioeconomic survey and modeling analyses, research on farm waste use and pond ecology, socio-economic elements of IFF extension and adoption, and the bio-technical and economic aspects of adapting IFF to reservoirs, marshlands, rice paddies, and marginal habitats. With contributions from leading international authorities and in-depth information from IFF operations worldwide, this is the definitive reference on Integrated Fish Farming.

Author:
Publisher:
ISBN:
Category : Forest landscape management
Languages : en
Pages : 228

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The Interior Northwest Landscape Analysis System (INLAS) links a number of resource, disturbance, and landscape simulations models to examine the interactions of vegetative succession, management, and disturbance with policy goals. The effects of natural disturbance like wildfire, herbivory, forest insects and diseases, as well as specific management actions are included. The outputs from simulations illustrate potential changes in aquatic conditions and terrestrial habitat, potential for wood utilization, and socioeconomic opportunities. The 14 chapters of this document outline the current state of knowledge in each of the areas covered by the INLAS project and describe the objectives and organization of the project. The project explores ways to integrate the effects of natural disturbances and management into planning and policy analyses; illustrate potential conflicts among current policies, natural distrubances, and management activities; and explore the policy, economics, and ecological constraints associated with the application of effective fuel treatments on midscale landscapes in the interior Northwest.