Models In Ecosystem Science

Download Models In Ecosystem Science full books in PDF, epub, and Kindle. Read online free Models In Ecosystem Science ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Models in Ecosystem Science

Models in Ecosystem Science
Author :
Publisher : Princeton University Press
Total Pages : 500
Release :
ISBN-10 : 0691092893
ISBN-13 : 9780691092898
Rating : 4/5 (898 Downloads)

Book Synopsis Models in Ecosystem Science by : Charles Draper William Canham

Download or read book Models in Ecosystem Science written by Charles Draper William Canham and published by Princeton University Press. This book was released on 2003-11-30 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Models in Ecosystem Science Related Books

Models in Ecosystem Science
Language: en
Pages: 500
Authors: Charles Draper William Canham
Categories: Science
Type: BOOK - Published: 2003-11-30 - Publisher: Princeton University Press

DOWNLOAD EBOOK

Quantitative models are crucial to almost every area of ecosystem science. They provide a logical structure that guides and informs empirical observations of ec
Models in Ecosystem Science
Language: en
Pages: 496
Authors: Charles D. Canham
Categories: Science
Type: BOOK - Published: 2021-04-13 - Publisher: Princeton University Press

DOWNLOAD EBOOK

Quantitative models are crucial to almost every area of ecosystem science. They provide a logical structure that guides and informs empirical observations of ec
New Models for Ecosystem Dynamics and Restoration
Language: en
Pages: 366
Authors: Richard J. Hobbs
Categories: Science
Type: BOOK - Published: 2013-03-19 - Publisher: Island Press

DOWNLOAD EBOOK

As scientific understanding about ecological processes has grown, the idea that ecosystem dynamics are complex, nonlinear, and often unpredictable has gained pr
Biophysical Models and Applications in Ecosystem Analysis
Language: en
Pages:
Authors: Jiquan Chen
Categories:
Type: BOOK - Published: 2021-04 - Publisher:

DOWNLOAD EBOOK

"The past five decades have witnessed a rapid growth of computer models for simulating ecosystem functions and dynamics. This has been fueled by the availabilit
Methods in Ecosystem Science
Language: en
Pages: 441
Authors: Osvaldo E. Sala
Categories: Science
Type: BOOK - Published: 2013-12-01 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Ecology at the ecosystem level has both necessitated and benefited from new methods and technologies as well as those adapted from other disciplines. With the a