Silver Bream

This book is dedicated to the Silver Bream, a fish too long neglected by anglers, wildlife enthusiasts and science. In fact, this is the first book ever devoted to this freshwater fish. Scientist, author and broadcaster Dr Mark Everard introduces the biology of the silver bream, angling for this fish, and its diverse social quirks and values.

Fisheries Management is a beautifully-produced full colour guide to the management of still-water coarse fisheries. Carefully compiled by three leading specialists, who each draw on many years’ experience, this book is an essential purchase for all still water coarse fisheries managers. The correct management of still waters and their fisheries is vital to ensure environmental protection and an appropriate level of stocking densities of healthy fish. This new book provides the reader with the necessary information to achieve these goals. The book's first part covers the ecology of still waters and includes succinct and user-friendly information on physical and chemical processes, nutrient cycles, energy movements, trophic levels, bacteria, plants, invertebrates, fish, disease-causing organisms, mammals and birds. Part two provides in depth, but easily assimilated cutting edge information, on how a still-water fishery should be set up, developed and successfully managed. Coverage includes development, preparation and construction; stock assessment and invertebrate survey; control of water quality, aquatic plants, erosion, predators and nuisance species; management of the impact of climate change; fish disease and biosecurity; control of fishing activities, fish nutrition, fishery enhancement and condition improvement, and general administration. The final part of this excellent manual covers legal and social frameworks including general and environmental legislation, direct fisheries-related legislation, and agencies and organizations. Fisheries Management provides fishery managers with an invaluable, practical tool which none should be without. Students studying fisheries biology, fisheries management and aquatic sciences will find this a very useful learning resource, as will all those who are considering buying or building and setting up lakes for fisheries. All libraries in universities, research establishments and government agencies where fisheries and biological sciences are studied and taught should have copies of this landmark publication on their shelves. Editor and authors with many years’ practical experience Vital and commercially important information for fisheries managers A useful reference source for upper level students and academics Covers an important multi-million pound industry across many countries

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers’ understanding of the graphical techniques discussed in the book. ... It not only summarises graphical techniques, but it also serves as a practical reference for researchers and graduate students with an interest in data display." -Han Lin Shang, Journal of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies these principles to engaging examples using the graphics and lattice packages in R. It offers a wide array of modern graphical displays for data visualization and representation. Added in the second edition are coverage of the ggplot2 graphics package, material on human visualization and color rendering in R, on screen, and in print. Features Emphasizes the fundamentals of statistical graphics and best practice guidelines for producing and choosing among graphical displays in R Presents technical details on topics such as: the estimation of quantiles, nonparametric and parametric density estimation; diagnostic plots for the simple linear regression model; polynomial regression, splines, and locally weighted polynomial regression for producing a smooth curve; Trellis graphics for multivariate data Provides downloadable R code and data for figures at www.graphicsforstatistics.com Kevin J. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional StatisticianTM by the Statistical Society of Canada and the American Statistical Association.