This comprehensive book, rich with applications, offers a
quantitative framework for the analysis of the various
capture-recapture models for open animal populations, while also
addressing associated computational methods. The state of our
wildlife populations provides a litmus test for the state of our
environment, especially in light of global warming and the
increasing pollution of our land, seas, and air. In addition to
monitoring our food resources such as fisheries, we need to protect
endangered species from the effects of human activities (e.g.
rhinos, whales, or encroachments on the habitat of orangutans).
Pests must be be controlled, whether insects or viruses, and we
need to cope with growing feral populations such as opossums,
rabbits, and pigs. Accordingly, we need to obtain information about
a given population's dynamics, concerning e.g. mortality, birth,
growth, breeding, sex, and migration, and determine whether the
respective population is increasing , static, or declining. There
are many methods for obtaining population information, but the most
useful (and most work-intensive) is generically known as
"capture-recapture," where we mark or tag a representative sample
of individuals from the population and follow that sample over time
using recaptures, resightings, or dead recoveries. Marks can be
natural, such as stripes, fin profiles, and even DNA; or
artificial, such as spots on insects. Attached tags can, for
example, be simple bands or streamers, or more sophisticated
variants such as radio and sonic transmitters. To estimate
population parameters, sophisticated and complex mathematical
models have been devised on the basis of recapture information and
computer packages. This book addresses the analysis of such models.
It is primarily intended for ecologists and wildlife managers who
wish to apply the methods to the types of problems discussed above,
though it will also benefit researchers and graduate students in
ecology. Familiarity with basic statistical concepts is essential.
General
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