Individual-Based Models and Approaches In Ecology

Populations, Communities and Ecosystems

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Individual-Based Models and Approaches In Ecology by D. L. DeAngelis, CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: D. L. DeAngelis ISBN: 9781351090360
Publisher: CRC Press Publication: January 18, 2018
Imprint: Chapman and Hall/CRC Language: English
Author: D. L. DeAngelis
ISBN: 9781351090360
Publisher: CRC Press
Publication: January 18, 2018
Imprint: Chapman and Hall/CRC
Language: English

Until fairly recently, populations were handled as homogenized averages, which made modeling feasible but which ignored the essential fact that in any population there is a great variety of individuals of different ages, sizes, and degrees of fitness. Recently, because of the increased availability of affordable computer power, approaches have been developed which are able to recognize individual differences. Individual-based models are of great use in the areas of aquatic ecology, terrestrial ecology, landscape or physiological ecology, terrestrial ecology, landscape or physiological ecology, and agriculture.

This book discusses which biological problems individual-based models can solve, as well as the models' inherent limitations. It explores likely future directions of theoretical development in these models, as well as currently feasible management applications and the best mathematical approaches and computer languages to use. The book also details specific applications to theory and management.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Until fairly recently, populations were handled as homogenized averages, which made modeling feasible but which ignored the essential fact that in any population there is a great variety of individuals of different ages, sizes, and degrees of fitness. Recently, because of the increased availability of affordable computer power, approaches have been developed which are able to recognize individual differences. Individual-based models are of great use in the areas of aquatic ecology, terrestrial ecology, landscape or physiological ecology, terrestrial ecology, landscape or physiological ecology, and agriculture.

This book discusses which biological problems individual-based models can solve, as well as the models' inherent limitations. It explores likely future directions of theoretical development in these models, as well as currently feasible management applications and the best mathematical approaches and computer languages to use. The book also details specific applications to theory and management.

More books from CRC Press

Cover of the book Contractual Procedures in the Construction Industry by D. L. DeAngelis
Cover of the book Decision Making in Aviation by D. L. DeAngelis
Cover of the book Real Estate Concepts by D. L. DeAngelis
Cover of the book Advances in Metaheuristics by D. L. DeAngelis
Cover of the book Hydrogen Peroxide Metabolism in Health and Disease by D. L. DeAngelis
Cover of the book JCT98 Building Contract: Law and Administration by D. L. DeAngelis
Cover of the book Compressed Sensing for Engineers by D. L. DeAngelis
Cover of the book Diagnosis and Risk Management in Primary Care by D. L. DeAngelis
Cover of the book Hybrid Intelligent Techniques for Pattern Analysis and Understanding by D. L. DeAngelis
Cover of the book Making Sense of Dental Practice Finance by D. L. DeAngelis
Cover of the book The Laboratory Nonhuman Primate by D. L. DeAngelis
Cover of the book Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials by D. L. DeAngelis
Cover of the book Handbook of Fiber Finish Technology by D. L. DeAngelis
Cover of the book Energy Harvesting by D. L. DeAngelis
Cover of the book Laparoscopic Colorectal Surgery by D. L. DeAngelis
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy