Testing the accuracy of population viability analysis

Conservation Biology

Volumn 15, Issue 4, 2001, Pages 1030-1038

  McCarthy, M A ^a,b,d   Possingham, H P ^a,b   Day, J R ^c   Tyre, A J ^b  

^a NATIONAL CENTER FOR ECOLOGICAL ANALYSIS AND SYNTHESIS   (United States)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c CSIRO   (Australia)

^d UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; MINIMUM VIABLE POPULATION; MODEL VALIDATION;

EID: 0034906377     PISSN: 08888892     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1523-1739.2001.0150041030.x     Document Type: Article

References (38)

1. On the use of demographic models of population viability in endangered species management
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3. Predictive accuracy of population viability analysis in conservation biology
4. Two further applications of a model for binary regression
5. Factors contributing to non-randomness in species co-occurrences on islands
6. Minimum viable populations: Processes of species extinctions
7. Quasiextinction probabilities as a measure of impact on population growth
8. Metapopulation dynamics: From concepts and observations to predictive models
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10. Modeling survival and testing biological hypotheses using marked animals: A unified approach with case studies
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12. Arboreal marsupial incidence in eucalypt patches in south-eastern Australia: A test of Hanski's incidence function metapopulation model for patch occupancy
13. A landscape-scale test of the predictive ability of a spatially-explicit model for Population Viability Analysis
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15. Is it meaningful to estimate a probability of extinction?
16. Statistical validation
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18. Logistic sensitivity and bounds for extinction risks
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20. Evaluation of simple statistical criteria to qualify a simulation
21. Validation techniques for logistic regression models
22. A framework for improved threatened species management using population viability analysis
23. Procedures for statistical validation of stochastic simulation models
24. Testing ecological models: The meaning of validation
25. Minimum population sizes for species conservation
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27. Bayesian population viability analysis
28. Large-scale management experiments and learning by doing