Every day, biologists in parkas, raincoats, and rubber boots go
into the field to capture and mark a variety of animal species.
Back in the office, statisticians create analytical models for the
field biologists' data. But many times, representatives of the two
professions do not fully understand one another's roles. This book
bridges this gap by helping biologists understand state-of-the-art
statistical methods for analyzing capture-recapture data. In so
doing, statisticians will also become more familiar with the design
of field studies and with the real-life issues facing
biologists.
Reliable outcomes of capture-recapture studies are vital to
answering key ecological questions. Is the population increasing or
decreasing? Do more or fewer animals have a particular
characteristic? In answering these questions, biologists cannot
hope to capture and mark entire populations. And frequently, the
populations change unpredictably during a study. Thus, increasingly
sophisticated models have been employed to convert data into
answers to ecological questions. This book, by experts in
capture-recapture analysis, introduces the most up-to-date methods
for data analysis while explaining the theory behind those methods.
Thorough, concise, and portable, it will be immensely useful to
biologists, biometricians, and statisticians, students in both
fields, and anyone else engaged in the capture-recapture
process.
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