Models in Ecosystem Science

Media type: E-Book

Title: Models in Ecosystem Science

Contains: 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

Contributor: Aber, John D. [Contributor]; Amthor, Jeffrey S. [Contributor]; Armstrong, Robert A. [Contributor]; Bade, Darren L. [Contributor]; Bailer, A. John [Contributor]; Berkowitz, Alan R. [Contributor]; Bernhardt, Emily S. [Contributor]; Berry, Joyce K. [Contributor]; Bigelow, Seth W. [Contributor]; Bird, Suzanne P. [Contributor]; Bugmann, Harald K. M. [Contributor]; Bugmann, Harold K. M. [Contributor]; Burke, Ingrid C. [Contributor]; Canham, Charles D. [Contributor]; Canham, Charles D. [Editor]; Carpenter, Stephen R. [Contributor]; Cole, Jonathan J. [Contributor]; Cole, Jonathan J. [Editor]; Corbin, Jeffrey D. [Contributor]; Cordon, Zoe G. [Contributor]; Cottingham, Kathtyn L. [Contributor]; Cyr, Helene [Contributor]; DeAngelis, Donald L. [Contributor]; Dent, C. Lisa [Contributor]; Dijkstra, Feike A. [Contributor]; Duarte, Carlos M. [Contributor]; D’Antonio, Carla M. [Contributor]; Emmett, Bridget A. [Contributor]; Ewing, Holly A. [Contributor]; Findlay, Stuart E. G. [Contributor]; Gardner, Robert H. [Contributor]; Giblin, Anne E. [Contributor]; Gross, Louis J. [Contributor]; Hall, Sonia A. [Contributor]; Harris, Graham P. [Contributor]; Hogan, Kathleen [Contributor]; Håkanson, Lars [Contributor]; Janus, Lorraine L. [Contributor]; Joyce, Linda A. [Contributor]; Kaye, Jason P. [Contributor]; Keesing, Felicia [Contributor]; Kinzig, Ann P. [Contributor]; Kitchell, James F. [Contributor]; Lauenroth, William K. [Contributor]; Lauenroth, William K. [Editor]; Likens, Gene E. [Contributor]; LoGiudice, Kathleen M. [Contributor]; Macneale, Kate H. [Contributor]; Maranger, Roxane J. [Contributor]; McCulley, Rebecca L. [Contributor]; Mooij, Wolf M. [Contributor]; Oreskes, Naomi [Contributor]; Oris, James T. [Contributor]; Pace, Michael L. [Contributor]; Parton, William J. [Contributor]; Pastor, John [Contributor]; Pickett, Steward T. A. [Contributor]; Pielke Jr., Roger A. [Contributor]; Rastetter, Edward B. [Contributor]; Reckhow, Kenneth H. [Contributor]; Reynolds, Brian [Contributor]; Running, Steven W. [Contributor]; Scavia, Don [Contributor]; Sommerville, Gericke L. [Contributor]; Soto, Doris [Contributor]; Stelzer, Robert S. [Contributor]; Stray, David L. [Contributor]; Talbot, Lee M. [Contributor]; Templer, Pamela H. [Contributor]; Turner, Monica G. [Contributor]; Urban, Dean L. [Contributor]; Vallino, Joseph J. [Contributor]; Weathers, Kathleen C. [Contributor]; Wright, Justin P. [Contributor]

Published: Princeton, NJ: Princeton University Press, [2022]

Extent: 1 Online-Ressource (496 p.); 76 line illus. 17 tables

Language: English

DOI: 10.1515/9780691228846

ISBN: 9780691228846

Identifier:

Keywords: Ecology Mathematical models ; SCIENCE / Life Sciences / Biology ; 3D modeling ; Accuracy and precision ; Adaptive management ; Addition ; Agriculture ; Algorithm ; Bayesian inference ; Bayesian ; Biodiversity ; Biogeochemical cycle ; Biogeochemistry ; Biology ; Biomass (ecology) ; Calculation ; Calibration ; Carbon cycle ; Case study ; Chlorophyll ; Climate change ; Climate ; Computer simulation ; Conceptual model ; [...]

Origination:

Footnote: In English

Description: 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

Access State: Restricted Access | Information to licenced electronic resources of the SLUB

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