Modeling in natural resource management : development, interpretation, and application / edited by Tanya M. Shenk and Alan B. Franklin
Tipo de material:
TextoIdioma: Inglés Fecha de copyright: Washington : Island Press ; 2001Edición: First editionDescripción: xv, 223 pages : illustrations ; 23 cmISBN: - 1559637404
- Natural resources -- Management -- Mathematical models
- Natural resources -- Management -- Statistical methods
- Population biology -- Mathematical models
- Population biology -- Statistical methods
- Ecology -- Mathematical models
- Ecology -- Statistical methods
- Recursos naturales -- Administración -- Modelos matemáticos
- Recursos naturales -- Administración -- Métodos de estadística
- Biología de la población -- Modelos matemáticos
- Biología de la población -- Métodos de estadística
- Ecología -- Modelos matemáticos
- Ecología -- Métodos de estadística
- 23 333.95015118
| Tipo de ítem | Biblioteca actual | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
|---|---|---|---|---|---|---|---|---|
Colección general
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Biblioteca Yachay Tech | 333.95015118 S5468m 2001 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | 005957 |
Includes index (pages 217-223).
Includes bibliographical references.
1. Models in natural resource management: an introduction -- Part I: Overview of models -- 2. Using models in the conduct of science and management of natural resources -- 3. Statistical models: keys to understanding the natural world -- 4. Theoretical and statistical models in natural resource management and research -- Part II: Developing and interpreting models -- 5. Statistical model selection: an alternative to null hypothesis testing -- 6. Simulation models and optimal decision making in natural resource management -- 7. Validating and evaluating models -- Part III: Applying models -- 8. Population viability analysis: development, interpretation, and application -- 9. Modeling wildlife resource selection: can we do better? -- 10. Using models to facilitate complex decisions -- 11. Individual-based models: tracking variability among individuals -- 12. When modelers and field biologists interact: progress in resource science.
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