Quantitative Conservation of Vertebrates

ISBN-10: 1405182288

ISBN-13: 9781405182287

Edition: 2009

List price: $103.95
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Description: The conservation of vertebrate populations is a large component of many conservation projects and courses. This book offers a readable and comprehensive guide to conservation study techniques including the use of computer models, data analysis and study design, population monitoring, and decision making. The book is ideal for senior undergraduates undertaking their first research project and beginning graduate students.

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Book details

List price: $103.95
Copyright year: 2009
Publisher: John Wiley & Sons, Incorporated
Publication date: 1/27/2009
Binding: Paperback
Pages: 352
Size: 6.97" wide x 9.72" long x 0.79" tall
Weight: 1.848

Companion website and CD-ROM
Introduction: the role of science in conservation
Basic concepts in scientific investigations for conservation
Using models in conservation biology
Models of population dynamics
Applying population models to conservation
Basics of study design and analysis
Conservation studies and monitoring programs
General principles of estimation
Occupancy (presence-Absence) analysis
Sample counts for abundance estimation
Distance sampling for estimating density and abundance
Capture-mark-recapture studies for estimating abundance and density
Estimation of survival from radiotelemetry, nesting success studies, and age distributions
Mack-recapture for estimating survival, recruitment, abundance, and movement rates
Analysis of habitat
Estimation of species richness and other community parameters
Integrating modeling monitoring for conservation
Elements of conservation decision making
Accounting for uncertainty in conservation decisions
Learning and adaptive management
Case study: decision modeling and adaptive management for declining grassland birds in the southeastern USA
Summary and recommendations
Literature cited
Statistical and modeling programs available on the worldwide web
Other internet resources
Modeling and statistical notation
Key to abundance and parameter estimation
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