Conservation biologists and wildlife managers are constantly involved in the complex assessment of conservation problems such as the likely impact of a management action plan on rare species or those threatened with extinction. This book is a cohesive guide to the available mathematical modelling methods that can be used in population viability analysis. It is therefore extremely valuable to both the practitioner of conservation biology and the theoretical population biologist. Starting from first principles, the authors clearly explain the rationale behind the models and point out the relevant research, most of it recent, using a variety of examples from all different parts of the biosphere. The models used are stochastic models for demographic risk assessment particularly those dealing with unstructured population models, area-based models and structured, projection-matrix models. This new and growing area has been brought together by three expert conservation biologists so that conservation scientists can make and adapt their own models to aid the development of strategies to conserve species threatened with extinction.
`...a book written by biologists for biologists...the accounts of the procedures are consistently well balanced and clear, with relevant biology.'
Biodiversity and Conservation
`[This] book will be found invaluable not only by conservation biologists, but by a much wider audience interested in the modeling of real populations. . . . I found the chapters on unstructured and age-structured models particularly enlightening, as they follow a clear path from theory to techniques to case studies. . . . This book is accessible to an unusually broad audience. Required is only `some familiarity with statistics, linear algebra and programming, or at least a lack of fear of these subjects' (right on!). Yet the biologically well-informed discussion of model selection and estimation, and of the limits of model interpretation, should make this book at least as useful to theoreticians in search of applicability as to empirical workers wishing to learn modeling. Plain language and clear examples prevail, yet the tone is never patronizing nor the message oversimplified.'
Trends in Ecology and Evolution
`...Well written and well organized. It provides a basic framework for those interested in population modeling, starting from simple models and gradually increasing their complexity; and shows how these models can be used to assess the risk of extinction of animal or plant populations... [It is] an excellent introduction to the use of mathematical models in conservation biology and risk assessment.'
Natural Resource Modeling
`...the author's style is clear and engaging....this imporatant book will appeal to a far wider audience than its title suggest, and could be profitably read bya wide range of ecologists and conservation biologists.'
The Quarterly Review of Biology
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.
Series: Population and Community Biology (Chapman & Hall)
Number Of Pages: 314
Published: 31st January 1993
Publisher: Chapman and Hall
Country of Publication: GB
Dimensions (cm): 23.39 x 15.6
Weight (kg): 0.64