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Working Group on Marine Mammal Eclogy (WGMME)
The Working Group on Marine Mammal Ecology met in 2021 to address new information on marine mammal ecology relevant to management. Two terms of references were standing ToRs; under the first of these, ToR A, new and updated information on seal and cetacean population abundance, population/stock structure, manage-ment frameworks as well as anthropogenic threats to individual health and population status were reviewed along with findings on threats to marine mammals such as bycatch, pollution, marine debris and noise. ToR B is a cooperation with WGBIODIV to review species-specific for-aging distributions (considering horizontal and vertical dimensions depending on data availa-bility) and to es...
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Marine Macroecology
Pioneered in the late 1980s, the concept of macroecology—a framework for studying ecological communities with a focus on patterns and processes—revolutionized the field. Although this approach has been applied mainly to terrestrial ecosystems, there is increasing interest in quantifying macroecological patterns in the sea and understanding the processes that generate them. Taking stock of the current work in the field and advocating a research agenda for the decades ahead, Marine Macroecology draws together insights and approaches from a diverse group of scientists to show how marine ecology can benefit from the adoption of macroecological approaches. Divided into three parts, Marine Mac...
Dynamic Factor Models
This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.
Time Series Analysis by State Space Methods
State space time series analysis emerged in the 1960s in engineering, but its applications have spread to other fields. Durbin (statistics, London School of Economics and Political Science) and Koopman (econometrics, Free U., Amsterdam) extol the virtues of such models over the main analytical system currently used for time series data, Box-Jenkins' ARIMA. What distinguishes state space time models is that they separately model components such as trend, seasonal, regression elements and disturbance terms. Part I focuses on traditional and new techniques based on the linear Gaussian model. Part II presents new material extending the state space model to non-Gaussian observations. c. Book News Inc.
An Introduction to State Space Time Series Analysis
Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. The only background required in order to understand the material presented in the book is a basic knowledge of classical linear regression models, of which a brief review is provided to refresh the reader's knowledge. Also, a few sections assume familiarity with matrix algebra, however, these sections may be skipped without losing the flow of the exposition. The book offers...
An Updated World Review of Interactions Between Marine Mammals and Fisheries
Recent information on marine mammal - fishery interactions is reviewed. A species by species approach is taken for each of the major marine fishing areas of the world. Most recent studies have been devoted to the accidental entanglement or mortality of marine mammals in fishing operations. Several species or populations of marine mammal may be threatened with extinction or severe depletion from such interactions. Most of the fisheries involved are gillnet fisheries. Relatively few recent studies have addressed the possible competitive interactions between marine mammals and fisheries for food and fishery resources.
Manual on Estimation of Selectivity for Gillnet and Longline Gears in Abundance Surveys
This manual defines methods for estimating selectivity of gillnet and longline gears, with particular reference to the use of these gears in abundance surveys. The manual illustrates how gear design, the basic concepts of size selection and fish morphometric data can be used to model selectivity. Statistical estimation methods are described in detail, and examples given of their application in spreadsheets. The efficient use of these gears in abundance and research surveys is also discussed. Although the manual concentrates on gillnets and longlines, the methods given are general enough to be relevant to any research involving gear selectivity
