Models in Ecosystem Science / / ed. by Charles D. Canham, William K. Lauenroth, Jonathan J. Cole.

• Superior document: Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
• MitwirkendeR: Aber, John D.,; Amthor, Jeffrey S.,; Armstrong, Robert A.,; Bade, Darren L.,; Bailer, A. John,; Berkowitz, Alan R.,; Bernhardt, Emily S.,; Berry, Joyce K.,; Bigelow, Seth W.,; Bird, Suzanne P.,; Bugmann, Harald K. M.,; Bugmann, Harold K. M.,; Burke, Ingrid C.,; Canham, Charles D.,; Carpenter, Stephen R.,; Cole, Jonathan J.,; Corbin, Jeffrey D.,; Cordon, Zoe G.,; Cottingham, Kathtyn L.,; Cyr, Helene,; DeAngelis, Donald L.,; Dent, C. Lisa,; Dijkstra, Feike A.,; Duarte, Carlos M.,; D’Antonio, Carla M.,; Emmett, Bridget A.,; Ewing, Holly A.,; Findlay, Stuart E. G.,; Gardner, Robert H.,; Giblin, Anne E.,; Gross, Louis J.,; Hall, Sonia A.,; Harris, Graham P.,; Hogan, Kathleen,; Håkanson, Lars,; Janus, Lorraine L.,; Joyce, Linda A.,; Kaye, Jason P.,; Keesing, Felicia,; Kinzig, Ann P.,; Kitchell, James F.,; Lauenroth, William K.,; Likens, Gene E.,; LoGiudice, Kathleen M.,; Macneale, Kate H.,; Maranger, Roxane J.,; McCulley, Rebecca L.,; Mooij, Wolf M.,; Oreskes, Naomi,; Oris, James T.,; Pace, Michael L.,; Parton, William J.,; Pastor, John,; Pickett, Steward T. A.,; Pielke Jr., Roger A.,; Rastetter, Edward B.,; Reckhow, Kenneth H.,; Reynolds, Brian,; Running, Steven W.,; Scavia, Don,; Sommerville, Gericke L.,; Soto, Doris,; Stelzer, Robert S.,; Stray, David L.,; Talbot, Lee M.,; Templer, Pamela H.,; Turner, Monica G.,; Urban, Dean L.,; Vallino, Joseph J.,; Weathers, Kathleen C.,; Wright, Justin P.,
• HerausgeberIn: Canham, Charles D.,; Cole, Jonathan J.,; Lauenroth, William K.,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2022]; ©2004
• Year of Publication: 2022
• Language: English
• Physical Description: 1 online resource (496 p.) :; 76 line illus. 17 tables.
• Other title: Frontmatter --; Contents --; Acknowledgments --; Contributors and Participants --; 1 Models in Ecosystem Science --; Part 1 The Status and Role of Modeling in Ecosystem Science --; 2 The Role of Quantitative Models in Science --; 3 The Status of Dynamic Quantitative Modeling in Ecolo --; 4 The Utility of Simple Models in Ecosystem Science --; 5 In Praise of Mechanistically Rich Models --; 6 Modeling for Synthesis and Integration: Forests, People, and Riparian Coarse Woody Debris --; 7 The Role of Models in Prediction for Decision --; Part II Evaluating Ecosystem Models --; 8 Propagation and Analysis of Uncertainty in Ecosystem Models --; 9 Bayesian Approaches in Ecological Analysis and Modeling --; 10 Model Validation and Testing: Past Lessons, Present Concerns, Future Prospects --; 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? --; 13 Evaluating and Testing Models of Terrestrial Biogeochemistry: The Role of Temperature in Controlling Decomposition --; 14 Representing Biogeochemical Diversity and Size Spectra in Ecosystem Models of the Ocean Carbon Cycle --; 15 The Mass Balances of Nutrients in Ecosystem Theory and Experiments: Implications for the Coexistence of Species --; Part III The Role of Models in Environmental Policy and Management --; 16 The Role of Models in Ecosystem Management --; 17 The Role of Models in Addressing Critical N Loading to Ecosystems --; 18 The Role of Models in Addressing Coastal Eutrophication --; 19 Quantitative Models in Ecological Toxicology: Application in Ecological Risk Assessment --; 20 Effects of Plant Invaders on Nutrient Cycling: Using Models to Explore the Link between Invasion and Development of Species Effects --; 21 Predicting the Ecosystem Effects of Climate Change --; Part IV The Future of Modeling in Ecosystem Science --; 22 The Role of Modeling in Undergraduate Education --; 23 Increasing Modeling Savvy: Strategies to Advance Quantitative Modeling Skills for Professionals within Ecology --; 24 The Limits to Models in Ecology --; Part V Concluding Comments --; 25 The Need for Fast-and-Frugal Models --; 26 On the Benefits and Limitations of Prediction --; 27 A Community-Wide Investment in Modeling --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780691228846; 9783110442502; 9783110784237
• DOI: 10.1515/9780691228846?locatt=mode:legacy
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: ed. by Charles D. Canham, William K. Lauenroth, Jonathan J. Cole.

Quantitative models are crucial to almost every area of ecosystem science. They provide a logical structure that guides and informs empirical observations of ecosystem processes. They play a particularly crucial role in synthesizing and integrating our understanding of the immense diversity of ecosystem structure and function. Increasingly, models are being called on to predict the effects of human actions on natural ecosystems. Despite the widespread use of models, there exists intense debate within the field over a wide range of practical and philosophical issues pertaining to quantitative modeling. This book--which grew out of a gathering of leading experts at the ninth Cary Conference--explores those issues. The book opens with an overview of the status and role of modeling in ecosystem science, including perspectives on the long-running debate over the appropriate level of complexity in models. This is followed by eight chapters that address the critical issue of evaluating ecosystem models, including methods of addressing uncertainty. Next come several case studies of the role of models in environmental policy and management. A section on the future of modeling in ecosystem science focuses on increasing the use of modeling in undergraduate education and the modeling skills of professionals within the field. The benefits and limitations of predictive (versus observational) models are also considered in detail. Written by stellar contributors, this book grants access to the state of the art and science of ecosystem modeling.