Overview
Stock Identification Methods is a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represents the experience and perspectives of worldwide experts on each method, assembled through a working group of the International Council for the Exploration of the Sea. The book is organized to foster multidisciplinary analyses and interdisciplinary conclusions about stock structure, a crucial topic for fishery science and management. Technological advances have promoted the development of stock identification methods in many directions, resulting in a confusing variety of approaches. Based on basic tenets of population biology and management needs, Stock Identification Methods offers a unified framework for understanding stock structure using various methods, by promoting an understanding of the relative merits and sensitivities of each approach.
Full Product Details
Author: Lisa A. Kerr (Gulf of Maine Research Institute, Portland, ME, USA) ,
Steven X. Cadrin (Northeast Fisheries Science Center, Woods Hole, MA, USA) ,
Kevin D. Friedland (University of Massachusetts, Amherst, MA, U.S.A.) ,
Stefano Mariani (School of Environment & Life Sciences, University of Salford, UK)
Publisher: Elsevier Science Publishing Co Inc
Imprint: Academic Press Inc
Edition: 2nd Revised edition
Dimensions:
Width: 15.20cm
, Height: 3.80cm
, Length: 22.90cm
Weight: 1.110kg
ISBN: 9780121543518
ISBN 10: 012154351
Pages: 736
Publication Date: 15 October 2004
Audience:
College/higher education
,
Tertiary & Higher Education
Replaced By: 9780123970039
Format: Hardback
Publisher's Status: Out of Print
Availability: Out of print, replaced by POD
We will order this item for you from a manufatured on demand supplier.
Author Information
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.
