Risk assessment in conservation biology
Burgman, Mark A.1993
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Population viability analysis involves building models of populations to evaluate factors. To read and profit from the vast majority of books about modelling, with a few notable exceptions, one must be a competent mathematician. Lately, books have appeared oriented towards biologists that explain the fundamentals of model building and the principles of structured populations. This is a book about how to build models. The models we develop are of a particular type, namely stochastic models for risk assessment. Preface by authors.
Main title:
Risk assessment in conservation biology / by M.A. Burgman, S. Ferson, H.R. Akcakaya.
Edition:
1st. edition.
Imprint:
London : Chapman & Hall, 1994.
Collation:
314 pages : illustrated ; 24 cm.
Series title:
Series:
Penrith City Library. Hawkesbury-Nepean Catchment Management Trust library
Notes:
Includes index. Includes bibliographical references (p. 285-308) and index.
Contents:
Incomplete contents: 1. A framework for risk assessment. 1.1. A probabilistic framework. 1.2. Causes of extinction -- 2. White rhinoceros on Ndumu Reserve. 2.1. Formulating a birth-and-death model. 2.2. Parameters and initial conditions. 2.3. The deterministic prediction. 2.4. Adding demographic stochasticity. 2.5. Introducing a population ceiling. 2.6. Removing constant numbers. 2.7. Environmental variation. 2.8. Risk assessment -- 3. Useful methods when data are scarce. 3.1. The exponential model for population growth. 3.2. Density dependence, the logistic equation and magpie geese. 3.3. Other forms of density dependence. 3.4. A model for suburban shrews. 3.5. More about unstructured models -- 4. Structured populations. 4.1. Age structure. 4.2. The Leslie matrix. 4.3. Stage structure. 4.4. Simulating variability. 4.5. Correlation and autocorrelation. 4.6. Migration and dispersal. 4.7. Density dependence -- 5. Spatial structure and metapopulation dynamics. 5.1. Components of spatial structure.5.2. Occupancy models. 5.3. A population dynamic model6. Conservation genetics. 6.1. Consequences of the loss of genetic diversity. 6.2. Drift, risk and genetic diversity. 6.3. The effects of inbreeding on population dynamics. 6.4. A stochastic model for Banksia cuneata. 6.5. The genetics of metapopulations7. Extensions of risk assessment. 7.1. The scarcity of data. 7.2. Species viability analysis. 7.3. ImplementationApp. A.1 Random number generatorsApp. A.2 Algorithms for random numbersApp. A.3 Random events and correlated random numbersApp. A.4 More about sensitivity analysis.
Dewey class:
GREEN 8047 HNCMT574.5248
Language:
English
Subject:
BRN:
122432
| Location | Collection | Call number | Status/Desc |
|---|---|---|---|
| Research | Tech Book | 574.5248RIS | Available |