I. INTRODUCTION Overview Definition of Management Units, Stock Units, and Populations Migration and the Stock Concept Environmental versus Genetic Influence on Identification Characters
II. LIFE HISTORY TRAITS Distribution of Life Stages Life History Parameters
III. NATURAL MARKS-MORPHOLOGICAL ANALYSES Morphometric Outlines Morphometric Landmarks Texture Methods Meristics
IV. NATURAL MARKS-ENVIRONMENTAL SIGNALS Parasites as Biological Tags Fatty Acid Profiles
V. NATURAL MARKS-GENETIC ANALYSES Chromosome Morphology Allozymes Mitochondrial DNA Microsatellites Random Amplified Polymorphic DNA (RAPD) Amplified Length Polymorphic DNA (AFLP)
VI. APPLIED MARKS Internal and External Tags Electronic Tags Otolith Thermal Marking
VII. STOCK IDENTIFICATION DATA ANALYSIS Stock Identification Data Requirements in Quantitative Assessments Statistical Algorithms for Stock Composition Analysis Discriminant Function Analysis Neural Networks in Classifying Biological Populations Maximum Likelihood Estimators of Stock Composition Non-parametric Methods of Estimating Classification Variability Analysis of Tagging Data
VIII. APPLICATION OF STOCK IDENTIFICATION DATA IN RESOURCE MANAGEMENT Application of Stock Identification Data in Resource Management The Role of Stock Identification Data in Formulating Fishery Management Advice Identifying Fish Farm Escapees Real Time
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- © Academic Press 2005
- 24th September 2004
- Academic Press
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Lisa Kerr is a fisheries ecologist at the Gulf of Maine Research Institute (Portland, ME). Lisa is broadly interested in understanding the structure and dynamics of fish populations, with the goal of enhancing our ability to sustainably manage fisheries and ecosystems as a whole. She is particularly motivated to identify complex stock structure and understand the role it plays in the stability and resilience of local and regional populations. Lisa employs a diverse skill set to address critical ecological questions related to population structure that are also directly applicable to fisheries management. Her expertise includes structural analysis of fish hard parts (e.g. otoliths, vertebrae) and the application of the chemical methods (stable isotope, radioisotope, and trace element analysis) to these structures. She also uses mathematical modeling as a tool to understand how biocomplexity within fish stocks (e.g., spatial structure, connectivity, life cycle diversity) impacts their response to natural climatic oscillations, climate change, fishing, and management measures.
Gulf of Maine Research Institute, Portland, ME, USA
Northeast Fisheries Science Center, Woods Hole, MA, USA
University of Massachusetts, Amherst, MA, U.S.A.
School of Environment & Life Sciences, University of Salford, UK
Hudson River Foundation, New York, NY, U.S.A.