Risk Assessment in Conservation Biology.

Abstract

A framework for risk assessment. A probabilistic framework. Causes of Extinction. Summary. White rhinoceros on Ndumu. Formulating a birth-and death model. Parameters and initial condition. The deterministic prediction. Adding demographic stochasticity. Introducing a population ceiling. Removing constant numbers. Environmental variation. Risk Assessment. Summary. Useful methods when data are scarce. The Exonential model for population growth. Density dependence, the logistic equation and magpie geese. Other forms of density dependence. A model for suburban shrews. More about unstructured models. Summary. Structured populations. Age structure. The Leslie matrix. Stage structure. Simulating variability. Correlation and authocorrelation. Migration and dispersal. Density and dependence. Conclusion. Summary. Spatial structure and metapopulation dynamics. Conservation of spatial structure. Occupancy models. Population dynamic model. Summary. Conservation genetics. Consequences of loss of genetic diversity. Drift, risk and genetic diversity. The effects of inbreeding on population dynamics. Stochastic model for Banksia Cunteata. The genetics of metapopulations. Summary. Extensions of risk assessment. Appendices. Reference. Index. Conclusions. Random numbers. Random events and correlated random numbers. More about sensitivity analysis. References. Index.