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Quantitative conservation biology : theory and practice of population viability analysis / William F. Morris, Daniel F. Doak.

By: Contributor(s): Material type: TextTextPublisher: Sunderland, Mass. : Sinauer Associates, [2002]Copyright date: ©2002Description: xvi, 480 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0878935460
  • 9780878935468
Subject(s): DDC classification:
  • 577.88 21
LOC classification:
  • QH352.5 .M67 2002
Contents:
1. What Is Population Viability Analysis, and How Can It Be Used in Conservation Decision-Making? -- 2. The Causes and Quantification of Population Vulnerability -- 3. Count-Based PVA: Density-Independent Models -- 4. Count-Based PVA: Incorporating Density Dependence, Demographic Stochasticity, Correlated Environments, Catastrophes, and Bonanzas -- 5. Accounting for Observation Error in Count-Based PVAs -- 6. Demographic PVAs: Using Demographic Data to Build Stochastic Projection Matrix Models -- 7. Demographic PVAs: Using Projection Matrices to Assess Population Growth and Viability -- 8. Demographic PVAs Based on Vital Rates: Removing Sampling Variation and Incorporating Large Variance, Correlated Environments, Demographic Stochasticity, and Density Dependence into Matrix Models -- 9. Using Demographic PVA Models in Management: Sensitivity Analysis -- 10. Population Dynamics across Multiple Sites: The Interaction of Dispersal and Environmental Correlation -- 11. Methods of Viability Analysis for Spatially Structured Populations -- 12. Critiques and Cautions: When to Perform (and When Not to Perform) a Population Viability Analysis.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 577.88 MOR (Browse shelf(Opens below)) 1 Available A413597B

Includes bibliographical references and index.

1. What Is Population Viability Analysis, and How Can It Be Used in Conservation Decision-Making? -- 2. The Causes and Quantification of Population Vulnerability -- 3. Count-Based PVA: Density-Independent Models -- 4. Count-Based PVA: Incorporating Density Dependence, Demographic Stochasticity, Correlated Environments, Catastrophes, and Bonanzas -- 5. Accounting for Observation Error in Count-Based PVAs -- 6. Demographic PVAs: Using Demographic Data to Build Stochastic Projection Matrix Models -- 7. Demographic PVAs: Using Projection Matrices to Assess Population Growth and Viability -- 8. Demographic PVAs Based on Vital Rates: Removing Sampling Variation and Incorporating Large Variance, Correlated Environments, Demographic Stochasticity, and Density Dependence into Matrix Models -- 9. Using Demographic PVA Models in Management: Sensitivity Analysis -- 10. Population Dynamics across Multiple Sites: The Interaction of Dispersal and Environmental Correlation -- 11. Methods of Viability Analysis for Spatially Structured Populations -- 12. Critiques and Cautions: When to Perform (and When Not to Perform) a Population Viability Analysis.

Machine converted from AACR2 source record.

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