Quantifying Diets of Wildlife and Fish : Practical and Applied Methods
Book Details
Format
Paperback / Softback
ISBN-10
1800625103
ISBN-13
9781800625105
Publisher
CABI Publishing
Imprint
CABI Publishing
Country of Manufacture
CN
Country of Publication
GB
Publication Date
May 1st, 2024
Print length
240 Pages
Weight
694 grams
Dimensions
21.00 x 27.00 x 1.40 cms
Ksh 14,400.00
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The analysis and study of food webs is a fundamental part of the discipline of ecology and is vital for the understanding of how ecosystems function. This book gives a description of all the latest experimental and analytical techniques available to researchers today.
Quantifying Diets of Wildlife and Fish presents different techniques available to study animal diets. Ecologists determine animal diets to build natural history knowledge, test hypotheses in ecological theory and make informed management decisions for important ecosystems. Many researchers use techniques traditionally applied to the animals they study, rather than choose from the techniques with greatest potential for their study. In an effort to encourage researchers to consider new approaches, this book focuses on the techniques, rather than on particular groups of organisms or specific environments. With contributions from leading ecologists, chapters explore experimental design, observational techniques (including new technologies), stomach contents and faecal analysis, eDNA, tracers and stable isotopes. They also cover the latest multivariate methods of analyses suitable for describing animal diets and feeding relationships, as well as testing hypotheses relevant to ecological theory, environmental management and biological conservation. The expert knowledge provided will encourage readers to look beyond the boundaries of their specialties, assist in testing important hypotheses and provide insights into management problems. The examples in this book cover a range of vertebrates and invertebrates, as well as different environments, to open these methods up for novice ecologists and stimulate lateral thinking in more experienced researchers.
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