Agricultural science
Biodiversity
Biogeochemistry
Biological interaction
Biomagnification
Biomanipulation
Biomass (ecology)
Biome
Biotechnology
Canopy (biology)
Capability (systems engineering)
Category=PSAF
Category=RNC
Causal chain
Cognitive psychology
Community structure
Conceptual model
Conceptualization (information science)
Decision-making
Design of experiments
Ecological assessment
Ecological forecasting
Ecological Society of America
Ecological study
Ecology
Ecophysiology
Ecoregion
Ecosystem
Ecosystem ecology
Ecosystem management
Ecosystem model
Ecosystem services
Energy flow (ecology)
Environmental Exposure
Environmental manager
Environmental policy
eq_bestseller
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_science
Experimental data
Field experiment
Forecasting
Hydrology
International Institute for Applied Systems Analysis
Journal of Ecology
Landscape ecology
Management process
Models of communication
National Center for Ecological Analysis and Synthesis
Natural resource
Natural resource management
Nature
Nutrient
Organizational structure
Parameter (computer programming)
Phytoplankton
Predictability
Prediction
Predictive modelling
Probabilistic risk assessment
Sensitivity analysis
Simulation
Simulation modeling
Snag (ecology)
Social science
Soil
Species diversity
System analysis
Systems ecology
Systems science
Uncertainty
Variable (mathematics)
Vegetation
Weather forecasting
Zooplankton
Product details
- ISBN 9780691092898
- Weight: 680g
- Dimensions: 152 x 235mm
- Publication Date: 30 Nov 2003
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
Secure
checkout
Fast Shipping
Easy returns
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.
Charles D. Canham and Jonathan J. Cole are scientists with the Institute of Ecosystem Studies, which hosted the Cary Conference. William K. Lauenroth is a Professor in the Department of Forest, Rangeland, and Watershed Stewardship at Colorado State University.
