Presents the three major areas of population viability assessment: count-based, demographic, and multi-site, or metapopulation, models. The authors first present general concepts and approaches to viability assessment and 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. Detailed case studies use data from real endangered species.
Preface - What Is PVA, and How Can It Be Used in Conservation Decision-making? - The Causes and Quantification of Population Vulnerability - Count-based PVA: Density-independent Models - Count-based PVA: Incorporating Density Dependence, Demographic Stochasticity, Correlated Environments, Catastrophes and Bonanzas - Accounting for Observation Error in Count-based PVAs - Demographic PVAs: Using Demographic Data to Build Stochastic Projection Matrix Models - Demographic PVAs: Using Projection Matrices to Assess Population Growth and Viability - Demographic PVAs Based on Vital Rates: Removing Sampling Variation and Incorporating Large Variance, Correlated Environments, Demographic Stochasticity, and Density Dependence into Matrix Models - Using Demographic PVA Models in Management: Sensitivity and Elasticity Analysis - Multi-site PVAs: The Interaction of Dispersal and Environmental Correlation - Multi-site PVAs: Methods of Analysis for Spatially Complex Populations - Critiques and Cautions: When to Perform (and When Not to Perform) a PVA - References
WILLIAM F. MORRIS, Duke University. - DANIEL F. DOAK, University of California, Santa Cruz.