4 edition of Stochastic modeling of ocean fisheries resource management found in the catalog.
Stochastic modeling of ocean fisheries resource management
Tracy R. Lewis
by Environmental Quality Laboratory, California Institute of Technology, University of Washington Press in Pasadena, Seattle
Written in English
Bibliography: p. 103-109.
|Statement||Tracy R. Lewis.|
|LC Classifications||SH331.5.M48 L48 1982|
|The Physical Object|
|Pagination||109 p. :|
|Number of Pages||109|
|LC Control Number||81051282|
Technology, Information, and Systems Management Resources Area Studies [Regional Sustainable Development Reviews: Africa, Brazil, Canada/USA, China, Europe, Japan and Russia ]. Related links Fisheries and Resources Monitoring System (FIRMS) The Fisheries and Resources Monitoring System (FIRMS) is a partnership of intergovernmental fisheries organizations that share a wide range of high-quality information on the global monitoring and management of marine fishery resources. website State of the World’s Aquatic Genetic Resources for Food and Agriculture .
Science-based fishery management leads to better outcomes for fish, fishing communities, and ocean ecosystems. So we work to make sure the best science and data is at the table when policy and management decisions are made, and work with partners to develop and implement innovative tools to fill gaps in our understanding of fisheries. The World Bank Group helps countries promote strong governance of marine and coastal resources to improve their contribution to sustainable and inclusive economies by supporting sustainable fisheries and aquaculture, making coastlines more resilient, establishing coastal and marine protected areas, reducing pollution, and developing knowledge and capacity around ocean health.
Virtual population analysis (VPA) is a cohort modeling technique commonly used in fisheries science for reconstructing historical fish numbers at age using information on . the fish resources of the oceans Download the fish resources of the oceans or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get the fish resources of the oceans book now. This site is like a library, Use search box in the widget to get ebook that you want.
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Stochastic Modeling of Ocean Fisheries Resource Management by Tracy R. Lewis. University of Washington Press, Pp. viii, No index. $ (us) ISBN This book provides an analysis of discrete-time optimal replenishable resource management policies under conditions of certainty and uncertainty.
The material. A key goal of fisheries management is to regulate extractive pressure on a resource so as to ensure social, economic and ecological sustainability. This text provides an accessible entry point for students and professionals to management science as developed in fisheries, in order to facilitate uptake of the latest ideas and : $ Reed, W.J.
(), A stochastic model of the economic management of a renewable animal resource, Mathematical Biosciences, 22, – CrossRef Google Scholar Reed, W.J. (), The steady-state of a stochastic harvesting model, Mathematical Biosciences, 41, – A General Approach for Making Short-Term Stochastic Projections from an Age-Structured Fisheries Assessment Model.
Projections are an integral part of natural resource management. Inspired by the work of the renowned fisheries scientist Daniel Pauly, this book provides a detailed overview of ecosystem-based management of fisheries.
It explores the complex and interdisciplinary nature of the subject by bringing together contributions from some of the world's leading fisheries scientists, managers and conservationists. Management of trans-boundary fisheries is a complicated problem with biological, legal, economic and political implications.
We propose a simple stochastic differential-equation model to describe. Deterministic and stochastic models in both discrete and continuous time are covered.
The book encourages students to pursue a deeper understanding of the analytics of resource problems and to deploy numerical methods when analytical results prove intractable.
Moreover, uncertainty and imperfect information are inherent in the management of fisheries, and the importance of introducing uncertainty explicitly into the resource management models has been emphasized (Clark, ; Lewis, ).
in this paper a single species version of the stochastic resource model of Clemhout and Wan () is by: Design for Sustainable Fisheries — Modeling Fishery Economics Sustainability and resource productivity Fsi heries provdi e employment for mionill people worldwide and represent a significant percentage of the anima prl oteni consumed globalyl, particularly in developngi countres.
1 Fish and fishery products are. Part III examines management models for effectively assessing the natural variability in fisheries resources. The authors explore ways of determining the allowable catch in response to changes in stock abundance and how to incorporate ecological processes and monitoring procedures into management models.
Predicting Future Oceans: Sustainability of Ocean and Human Systems Amidst Global Environmental Change provides a synthesis of our knowledge of the future state of the oceans. The editors undertake the challenge of integrating diverse perspectives—from oceanography to anthropology—to exhibit the changes in ecological conditions and their socioeconomic Edition: 1.
This paper partially extends the replenishable resource management literature to the case of uncertainty. Stochastic resource dynamics are defined, studied and estimated. The results of this study suggest that the misallocation of resources into the northern lobster fishery has been greater than was previously by: Stochastic models are detailed, also adding a degree of complexity to the interdependencies discussed in Chapter 3.
The incorporation of risk and uncertainty in bioeconomic modelling and a formal decision analysis has been scarcely documented in the fisheries literature. In this book, Jon Conrad and Colin Clark develop the theory of resource economics.
To begin, they provide an introduction to the required techniques of dynamic optimization. Throughout the book they build the reader's understanding with many fully-worked problems and numerical by: A Department of Environmental Biology and Fisheries Science, National Taiwan Ocean University, KeelungTaiwan.
B Institute of Marine Affairs and Resource Management, National Taiwan Ocean University, KeelungTaiwan. C Current address: Institute of Oceanography, National Taiwan University, TaipeiTaiwan.
D Corresponding by: This thesis is concerned with mathematical models for the management of renewable animal resources. Discrete-time Markov processes are used to model the dynamics of populations living in fluctuating environments, and control models are developed on this basis.
Of particular interest is the way in which the results of this stochastic analysis compare with known results of the analysis based Cited by: 2. Drawing from case studies of Jamaica and Barbados fisheries, four principles of CPR use are proposed: (a) the solution of the CPR problem starts with the control of access to the resource, (b) increasing production from a CPR depends on the conservation of the resource base, (c) the sustainable utilization of a CPR is closely connected to the use of technology appropriate for the Cited by: renewable resources management under uncertainty has extended the above result to stochastic models with one source of uncertainty.
In Reed (), a CSP is shown to be optimal in a stochastic stock-recruitment model (uncertainty in growth) even in the case where the production function is non-linear for the stock level.
Clark and Kirkwood. Two extensions of stochastic logistic model for fish growth have been examined. The basic features of a logistic growth rate are deeply influenced by the carrying capacity of the system and the changes are periodical with time.
Introduction of a new parameter, enlarges the scope of investing the growthof different fish species. For rapid growth lying between 1 and 2 and for slowly by: 2. Part III examines management models for effectively assessing the natural variability in fisheries resources.
The authors explore ways of determining the allowable catch in response to changes in stock abundance and how to incorporate ecological processes and monitoring procedures into management : Paperback.As most natural resources, fisheries are affected by random disturbances.
The evolution of such resources may be modeled by a succession of deterministic process and random perturbations on biomass and/or growth rate at random times. We analyze the impact of the characteristics of the perturbations on the management of natural : Patrice Loisel.Fish eco-labeling is a market-based incentive program for sustainable fisheries.
This paper examines consumers’ acceptance of eco-labeled fish by using data from a pilot study conducted in a coastal area of northwestern Mexico. An ordered probit model was applied, using observations.