Published by Sinauer Associates, an imprint of Oxford University
Press. Conservation biology relies not only on the general
concepts, but on the specific methods, of population ecology to
both understand and predict the viability of rare and endangered
species and to determine how best to manage these populations. The
need to conduct quantitative analyses of viability and management
has spawned the field of "population viability analysis," or PVA,
which, in turn, has driven much of the recent development of useful
and realistic population analysis and modeling in ecology in
general. However, despite calls for the increased use of PVA in
real-world settings-developing recovery plans for endangered
species, for example-a misperception remains among field-oriented
conservation biologists that PVA models can only be constructed and
understood by a select group of mathematical population ecologists.
Part of the reason for the ongoing gap between conservation
practitioners and population modelers has been the lack of an
easy-to-understand introduction to PVA for conservation biologists
with little prior exposure to mathematical modeling as well as
in-depth coverage of the underlying theory and its applications.
Quantitative Conservation Biology fills this void through a unified
presentation of the three major areas of PVA: count-based,
demographic, and multi-site, or metapopulation, models. The authors
first present general concepts and approaches to viability
assessment. Then, in sections addressing each of the three fields
of PVA, they guide the reader from considerations for collection
and analysis of data to model construction, analysis, and
interpretation, progressing from simple to complex approaches to
answering PVA questions. Detailed case studies use data from real
endangered species, and computer programs to perform all described
analyses accompany the text. The goal of this book is to provide
practical, intelligible, and intuitive explanations of population
modeling to empirical ecologists and conservation biologists.
Modeling methods that do not require large amounts of data
(typically unavailable for endangered species) are emphasized. As
such, the book is appropriate for undergraduate and graduate
students interested in quantitative conservation biology, managers
charged with preserving endangered species, and, in short, for any
conservation biologist or ecologist seeking to better understand
the analysis and modeling of population data.
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