Kapitel in diesem Buch

1. Frontmatter i
2. Contents v
3. Acknowledgments ix
4. Contributors and Participants xi
5. 1 Models in Ecosystem Science 1
6. Part 1 The Status and Role of Modeling in Ecosystem Science
7. 2 The Role of Quantitative Models in Science 11
8. 3 The Status of Dynamic Quantitative Modeling in Ecolo 32
9. 4 The Utility of Simple Models in Ecosystem Science 49
10. 5 In Praise of Mechanistically Rich Models 63
11. 6 Modeling for Synthesis and Integration: Forests, People, and Riparian Coarse Woody Debris 83
12. 7 The Role of Models in Prediction for Decision 111
13. Part II Evaluating Ecosystem Models
14. 8 Propagation and Analysis of Uncertainty in Ecosystem Models 137
15. 9 Bayesian Approaches in Ecological Analysis and Modeling 168
16. 10 Model Validation and Testing: Past Lessons, Present Concerns, Future Prospects 184
17. 11 Standards of Practice for Review and Publication of Models: Summary of Discussion 204
18. 12 The Collision of Hypotheses: What Can Be Learned from Comparisons of Ecosystem Models? 211
19. 13 Evaluating and Testing Models of Terrestrial Biogeochemistry: The Role of Temperature in Controlling Decomposition 225
20. 14 Representing Biogeochemical Diversity and Size Spectra in Ecosystem Models of the Ocean Carbon Cycle 254
21. 15 The Mass Balances of Nutrients in Ecosystem Theory and Experiments: Implications for the Coexistence of Species 272
22. Part III The Role of Models in Environmental Policy and Management
23. 16 The Role of Models in Ecosystem Management 297
24. 17 The Role of Models in Addressing Critical N Loading to Ecosystems 308
25. 18 The Role of Models in Addressing Coastal Eutrophication 327
26. 19 Quantitative Models in Ecological Toxicology: Application in Ecological Risk Assessment 344
27. 20 Effects of Plant Invaders on Nutrient Cycling: Using Models to Explore the Link between Invasion and Development of Species Effects 363
28. 21 Predicting the Ecosystem Effects of Climate Change 385
29. Part IV The Future of Modeling in Ecosystem Science
30. 22 The Role of Modeling in Undergraduate Education 411
31. 23 Increasing Modeling Savvy: Strategies to Advance Quantitative Modeling Skills for Professionals within Ecology 428
32. 24 The Limits to Models in Ecology 437
33. Part V Concluding Comments
34. 25 The Need for Fast-and-Frugal Models 453
35. 26 On the Benefits and Limitations of Prediction 461
36. 27 A Community-Wide Investment in Modeling 466
37. Index 471