| Titre : |
Improving natural resource management : ecological and political models |
| Type de document : |
texte imprimé |
| Auteurs : |
Timothy C. Haas, Auteur |
| Editeur : |
John Wiley & Sons |
| Année de publication : |
2011 |
| Importance : |
XX-250 p. |
| Présentation : |
ill.; couv. ill. en coul. |
| Format : |
23 cm |
| ISBN/ISSN/EAN : |
978-0-470-66113-0 |
| Note générale : |
Notes bibliogr. Index |
| Langues : |
Anglais (eng) |
| Catégories : |
Écosystèmes -- Gestion ; Écosystèmes -- Gestion -- Aspect politique ; Écosystèmes -- Gestion -- Méthodes de simulation ; Écosystèmes -- Gestion -- Surveillance ; Faune
|
| Index. décimale : |
333.95 |
| Résumé : |
The decision to implement environmental protection options is a political one. These, and other political and social decisions affect the balance of the ecosystem and how the point of equilibrium desired is to be reached. This book develops a stochastic, temporal model of how political processes influence and are influenced by ecosystem processes and looks at how to find the most politically feasible plan for managing an at-risk ecosystem. Finding such a plan is accomplished by first fitting a mechanistic political and ecological model to a data set composed of observations on both political ... |
| Note de contenu : |
Preface -- List of Figures -- List of Tables -- Nomenclature -- Part I. Managing a Political-Ecological System: Ch. 1. Introduction: 1.1 The Problem to be Addressed -- 1.2 The Book's Running Example: East African Cheetah -- 1.3 The EMT's Simulator -- 1.4 How to Use the EMT to Manage an Ecosystem -- 1.5 Chapter Topics and Order -- 1.6 The Book's Accompanying Web Resources -- Ch. 2. Simulator Architecture, Operation, and Example Output -- 2.1 Introduction -- 2.2 Theory for Agent-Based Simulation -- 2.3 Action Messages and IntIDs Model Operation -- 2.4 A Plot for Displaying an Actions History -- 2.5 Conclusions -- 2.6 Exercises -- Ch. 3. Blue Whale Population Management: 3.1 Introduction -- 3.2 Current Status of Blue Whales -- 3.3 Groups that Affect Blue Whale Populations -- 3.4 Blue Whale Ecosystem ID -- 3.5 Interactions Between IDs -- 3.6 Data Sets for the Blue Whale EMT -- 3.7 Main Points of this Chapter's Example -- 3.8 Exercises -- Ch. 4. Finding the Most Practical Ecosystem Management Plan: 4.1 Introduction -- 4.2 Some Methods for Developing Ecosystem Management Plans -- 4.3 Consistency Analysis Parameter Estimator Overview -- 4.4 The MPEMP: Definition and Construction -- 4.5 The MPEMP for East African Cheetah -- 4.6 Conclusions -- 4.7 Exercises -- Ch. 5. An Open, Web-Based Ecosystem Management Tool: 5.1 Introduction -- 5.2 Components of a Politically Realistic EMT -- 5.3 Id Language and Software System -- 5.4 How the EMT Website Would be Used -- Part II. Model Formulation, Estimation, and Reliability: Ch. 6. Influence Diagrams of Political Decision Making: 6.1 Introduction -- 6.2 Theories of Political Decision Making -- 6.3 Architecture of a Group Decision Making ID -- 6.4 Related Modeling Efforts -- 6.5 Conclusions -- 6.6 Exercises -- Ch. 7. Group IDs for the East African Cheetah EMT -- 7.1 Introduction -- 7.2 Country Backgrounds -- 7.3 Selection of Groups to Model -- 7.4 President IDs -- 7.5 EPA IDs -- 7.6 Rural Residents IDs -- 7.7 Pastoralists IDs -- 7.8 Conservation NGOs ID -- 7.9 Conclusions -- 7.10 Exercises -- Ch. 8.. Modeling Wildlife Population Dynamics with an Influence Diagram: 8.1 Introduction -- 8.2 Model of Cheetah and Prey Population Dynamics -- 8.3 Solving SDEs within an ID -- 8.4 Example of Ecosystem ID Output -- 8.5 Conclusions -- 8.6 Exercises -- Ch. 9. Political Action Taxonomies, Collection Protocols, and an Actions History Example: 9.1 Introduction -- 9.2 Political Action Taxonomies -- 9.3 Adapting the BCOW Taxonomy to Ecosystem Management Actions -- 9.4 EMAT Coding Protocol -- 9.5 Actions History Data for the East African Cheetah EMT -- 9.6 Conclusions -- Ch. 10. Ecosystem Data -- 10.1 Introduction -- 10.2 Wildlife Monitoring -- 10.3 Wildlife Abundance Estimation Methods -- 10.4 East African Cheetah Prey Abundance Data -- 10.5 Data on Cheetah Habitat Suitability Nodes -- 10.6 Conclusions -- 10.7 Exercises -- Ch. 11. Statistical Fitting of the Political-Ecological System Simulator -- 11.1 Introduction -- 11.2 Consistency Analysis Applied to an Actions History -- 11.3 Consistency Analysis of the East African Cheetah EMT Simulator -- 11.4 Conclusions and Another Collection Initialization Algorithm -- 11.5 Exercises -- Ch. 12. Assessing the Simulator's Reliability and Improving Its Construct Validity: 12.1 Introduction -- 12.2 Steps for Assessing Simulator Reliability -- 12.3 Sensitivity Analysis -- 12.4 One-Step-Ahead Prediction Error Rates -- 12.5 MC Hypothesis Tests -- 12.6 Sensitivity to Hidden Bias Analysis -- 12.7 Conclusions -- 12.8 Exercises -- Part III. Assessment: Ch. 13. Current Capabilities and Limitations of the Politically Realistic EMT: 13.1 Introduction -- 13.2 Current Capabilities of the EMT -- 13.3 Current Limitations of the EMT -- 13.4 Supporting the EMT in the Real World -- 13.5 Consequences of Using a Politically Realistic EMT -- Appendices: Appendix A Heuristics Used to Assign Hypothesis Values to Parameters. Appendix B Cluster Computing Version of Hooke and Jeeves Search. References. Index |
Improving natural resource management : ecological and political models [texte imprimé] / Timothy C. Haas, Auteur . - Canada : John Wiley & Sons, 2011 . - XX-250 p. : ill.; couv. ill. en coul. ; 23 cm. ISBN : 978-0-470-66113-0 Notes bibliogr. Index Langues : Anglais ( eng)
| Catégories : |
Écosystèmes -- Gestion ; Écosystèmes -- Gestion -- Aspect politique ; Écosystèmes -- Gestion -- Méthodes de simulation ; Écosystèmes -- Gestion -- Surveillance ; Faune
|
| Index. décimale : |
333.95 |
| Résumé : |
The decision to implement environmental protection options is a political one. These, and other political and social decisions affect the balance of the ecosystem and how the point of equilibrium desired is to be reached. This book develops a stochastic, temporal model of how political processes influence and are influenced by ecosystem processes and looks at how to find the most politically feasible plan for managing an at-risk ecosystem. Finding such a plan is accomplished by first fitting a mechanistic political and ecological model to a data set composed of observations on both political ... |
| Note de contenu : |
Preface -- List of Figures -- List of Tables -- Nomenclature -- Part I. Managing a Political-Ecological System: Ch. 1. Introduction: 1.1 The Problem to be Addressed -- 1.2 The Book's Running Example: East African Cheetah -- 1.3 The EMT's Simulator -- 1.4 How to Use the EMT to Manage an Ecosystem -- 1.5 Chapter Topics and Order -- 1.6 The Book's Accompanying Web Resources -- Ch. 2. Simulator Architecture, Operation, and Example Output -- 2.1 Introduction -- 2.2 Theory for Agent-Based Simulation -- 2.3 Action Messages and IntIDs Model Operation -- 2.4 A Plot for Displaying an Actions History -- 2.5 Conclusions -- 2.6 Exercises -- Ch. 3. Blue Whale Population Management: 3.1 Introduction -- 3.2 Current Status of Blue Whales -- 3.3 Groups that Affect Blue Whale Populations -- 3.4 Blue Whale Ecosystem ID -- 3.5 Interactions Between IDs -- 3.6 Data Sets for the Blue Whale EMT -- 3.7 Main Points of this Chapter's Example -- 3.8 Exercises -- Ch. 4. Finding the Most Practical Ecosystem Management Plan: 4.1 Introduction -- 4.2 Some Methods for Developing Ecosystem Management Plans -- 4.3 Consistency Analysis Parameter Estimator Overview -- 4.4 The MPEMP: Definition and Construction -- 4.5 The MPEMP for East African Cheetah -- 4.6 Conclusions -- 4.7 Exercises -- Ch. 5. An Open, Web-Based Ecosystem Management Tool: 5.1 Introduction -- 5.2 Components of a Politically Realistic EMT -- 5.3 Id Language and Software System -- 5.4 How the EMT Website Would be Used -- Part II. Model Formulation, Estimation, and Reliability: Ch. 6. Influence Diagrams of Political Decision Making: 6.1 Introduction -- 6.2 Theories of Political Decision Making -- 6.3 Architecture of a Group Decision Making ID -- 6.4 Related Modeling Efforts -- 6.5 Conclusions -- 6.6 Exercises -- Ch. 7. Group IDs for the East African Cheetah EMT -- 7.1 Introduction -- 7.2 Country Backgrounds -- 7.3 Selection of Groups to Model -- 7.4 President IDs -- 7.5 EPA IDs -- 7.6 Rural Residents IDs -- 7.7 Pastoralists IDs -- 7.8 Conservation NGOs ID -- 7.9 Conclusions -- 7.10 Exercises -- Ch. 8.. Modeling Wildlife Population Dynamics with an Influence Diagram: 8.1 Introduction -- 8.2 Model of Cheetah and Prey Population Dynamics -- 8.3 Solving SDEs within an ID -- 8.4 Example of Ecosystem ID Output -- 8.5 Conclusions -- 8.6 Exercises -- Ch. 9. Political Action Taxonomies, Collection Protocols, and an Actions History Example: 9.1 Introduction -- 9.2 Political Action Taxonomies -- 9.3 Adapting the BCOW Taxonomy to Ecosystem Management Actions -- 9.4 EMAT Coding Protocol -- 9.5 Actions History Data for the East African Cheetah EMT -- 9.6 Conclusions -- Ch. 10. Ecosystem Data -- 10.1 Introduction -- 10.2 Wildlife Monitoring -- 10.3 Wildlife Abundance Estimation Methods -- 10.4 East African Cheetah Prey Abundance Data -- 10.5 Data on Cheetah Habitat Suitability Nodes -- 10.6 Conclusions -- 10.7 Exercises -- Ch. 11. Statistical Fitting of the Political-Ecological System Simulator -- 11.1 Introduction -- 11.2 Consistency Analysis Applied to an Actions History -- 11.3 Consistency Analysis of the East African Cheetah EMT Simulator -- 11.4 Conclusions and Another Collection Initialization Algorithm -- 11.5 Exercises -- Ch. 12. Assessing the Simulator's Reliability and Improving Its Construct Validity: 12.1 Introduction -- 12.2 Steps for Assessing Simulator Reliability -- 12.3 Sensitivity Analysis -- 12.4 One-Step-Ahead Prediction Error Rates -- 12.5 MC Hypothesis Tests -- 12.6 Sensitivity to Hidden Bias Analysis -- 12.7 Conclusions -- 12.8 Exercises -- Part III. Assessment: Ch. 13. Current Capabilities and Limitations of the Politically Realistic EMT: 13.1 Introduction -- 13.2 Current Capabilities of the EMT -- 13.3 Current Limitations of the EMT -- 13.4 Supporting the EMT in the Real World -- 13.5 Consequences of Using a Politically Realistic EMT -- Appendices: Appendix A Heuristics Used to Assign Hypothesis Values to Parameters. Appendix B Cluster Computing Version of Hooke and Jeeves Search. References. Index |
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