Models in Ecosystem Science / Edition 1

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Overview

"This book is timely and will be of interest and importance to a broad scientific audience. The field of ecosystem science is at a crossroads, and this book goes a long way to educate modelers, empirical researchers, and policymakers alike."—Jed P. Sparks, Cornell University

"This is an impressive collection of work by an impressive group of leaders in the field. The scholarship is excellent, and the concept is novel. I look forward to using the book in my next modeling class, and I predict that students will really like it!"—James Reynolds, Duke University

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Editorial Reviews

Ecology - Yiqi Luo
In the book, a group of excellent ecologists share with you their experience of working with ecological models, their insights into various modeling issues, and their visions of future directions. . . . Experienced modelers or experimentalists with strong interests in modeling can learn a great deal from this book.
From the Publisher
"In the book, a group of excellent ecologists share with you their experience of working with ecological models, their insights into various modeling issues, and their visions of future directions. . . . Experienced modelers or experimentalists with strong interests in modeling can learn a great deal from this book."—Yiqi Luo, Ecology

Ecology
In the book, a group of excellent ecologists share with you their experience of working with ecological models, their insights into various modeling issues, and their visions of future directions. . . . Experienced modelers or experimentalists with strong interests in modeling can learn a great deal from this book.
— Yiqi Luo
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Product Details

  • ISBN-13: 9780691092898
  • Publisher: Princeton University Press
  • Publication date: 11/10/2003
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 456
  • Product dimensions: 6.00 (w) x 9.10 (h) x 1.30 (d)

Table of Contents

Acknowledgments
List of Contributors and Participants
1 Models in Ecosystem Science 1
2 The Role of Quantitative Models in Science 13
3 The Status of Dynamic Quantitative Modeling in Ecology 32
4 The utility of Simple Models in Ecosystem Science 49
5 In Praise of Mechanistically Rich Models 63
6 Modeling for Synthesis and Integration: Forests, People, and Riparian Coarse Woody Debris 83
7 The Role of Models in Prediction for Decision 111
8 Propagation and Analysis of Uncertainty in Ecosystem Models 139
9 Bayesian Approaches in Ecological Analysis and Modeling 168
10 Model Validation and Testing: Past Lessons, Present Concerns, Future Prospects 184
11 Standards of Practice for Review and Publication of Models: Summary of Discussion
12 The Collision of Hypotheses: What Can Be Learned from Comparisons of Ecosystem Models? 211
13 Evaluating and Testing Models of Terrestrial Biogeochemistry: The Role of Temperature in Controlling Decomposition 225
14 Representing Biogeochemical Diversity and Size Spectra in Ecosystem Models of the Ocean Carbon Cycle 254
15 The Mass Balances of Nutrients in Ecosystem Theory and Experiments: Implications for the coexistence of Species 272
16 The Role of Models in Ecosystem Management
17 The Role of Models in Addressing Critical N Loading to Ecosystems 308
18 The Role of Models in Addressing Coastal Eutrophication 327
19 Quantitative Models in Ecological Toxicology: Application in Ecological Risk Assessment 344
20 Effects of Plant Invaders on Nutrient Cycling: Using Models to Explore the Link between Invasion and Development of Species Effects 363
21 Predicting the Ecosystem Effects of Climate Change 385
22 The Role of Modeling in Undergraduate Education 413
23 Increasing Modeling Savvy: Strategies to Advance Quantitative Modeling Skills for Professionals within Ecology
24 The Limits to Models in Ecology 437
25 The Need for Fast-and-Frugal Models 455
26 On the Benefits and Limitations of Prediction 461
27 A Community-Wide Investment in Modeling 466
Index 471
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