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wPopulation Viability Analysisx

ҎҁFSteven R. Bessinger & Dale R. Mccullough
oŎЁFTHE UNIVERSITY OF CHICAGO PRESS
ISBNF0-226-04178-6

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1 Population Viability Analysis: Past, Present, Future
2 Incorporating Stochasticity in Population Viability Analysis
3 Reconciling the Small-Population and Declining-Population Paradigms
4 The Role of Genetics in Population Viability
5 Metapopulations of Animals in Highly Fragmented Landscapes and Population Viability Analysis
6 Plant Population Viability and Metapopulation-Level Processes
7 Population Viability Analysis and Conservation
8 Definition and Estimation of Effective Population Size in the Conservation of Endangered Species
9 Estimating Parameters of PVA Models from Data on Marked Animals
10 Including Uncertainties in Population Viability Analysis Using Population Prediction Intervals
11 Bayesian Population Viability Analysis
12 Incorporating Uncertainites in Population Viability Analysis for the Purpose of Classifying Species by Risk
13 How Good Are PVA Models? Testing Their Predictions with Experimental Data on the Brine Shrimp
14 Evolution of Population Viability Assessments for the Florida Panther: A Multiperspective Approach
15 Population Viability Analysis for Plants: Understanding the Demographic Consequence of Seed Banks for Population Health
16 Sensitivity Analysis to Evaluate the Consequences of Conservetaion Actions
17 Application of Molecular Genetics to Conservation: New Issues and Examples
18 Pedigree Analysis in Wild Populations
19 Rangewide Risks to Large Populations: The Cape Sable Sparrow as a Case History
20 Population Viability Analysis, Management, and Conservation Planning at Large Scales
21 Predictive Bayesian Population Viability Analysis: A Logic for Listing Criteria, Delisting Criteria, and Recovery Plants
22 Decision Theory for Population Viability Analysis
23 Incorporationg Human Populations and Activities into Population Viability Analysis
24 Fitting Population Viability Analysis into Adaptive Management
25 Guidelines for Using Population Viability Analysis in Endangered-Species Mangement

2004-01-30XV