A. Meredith John
A.M. de Roos
A01=D. L. DeAngelis
Accidental Mortality
Adam Lomnicki
Age Group_Uncategorized
Age Group_Uncategorized
Author_D. L. DeAngelis
automatic-update
Bernadette M. Roche
Bumble Bee
Category1=Non-Fiction
Category=PBT
Cellular Automata
Common Language
Competition Index
Competition Model
configuration
Configuration Models
COP=United Kingdom
Crown Area Projection
David P. Aikman
DC
DD Mortality
Delivery_Pre-order
Density Independent Mortality
Deterministic Rate
Donald L. DeAngelis
E. David Ford
E. McCauley
Earl E. Werner
Early Life History
Edward J. Rykiel
Elizabeth A. Marschall
eq_isMigrated=2
Hal Caswell
Host Size
Individual Based Computer Simulation Models
Individual Based Modeling
Individual Based Modeling Approach
Individual Based Population Model
Individual Plant Growth
Intra-specific Competition
J. A. J. Metz
J. M. Cushing
James A. Rice
James Jay Anderson
James S. Clark
James W. Haefner
Jia Li
John B. Palmer
K. A. Rose
Kenneth A. Rose
Kristin A. Sorrensen
Language_English
Larry B. Crowder
Laurence R. Benjamin
Leslie A. Real
Louis J. Gross
Louis W. Botsford
Michael Huston
Michel J. Phipps
Model Entities
Negative Binomial
Neil A. MacKay
Ordinary Differential Equations
PA=Temporarily unavailable
Price_€100 and above
PS=Active
R. Andrew Sutherland
R.A.J. Taylor
R.M. Nisbet
Ray R. Lassiter
S.A.L.M. Kooijman
softlaunch
Tagetes Patula
Taylor’s Power Law
Thomas G. Hallam
Thomas J. Miller
Van Webb Winkle
W.S.C. Gurney
W.W. Murdoch
William McKinney
Product details
- ISBN 9781315894362
- Weight: 1170g
- Dimensions: 152 x 229mm
- Publication Date: 29 Nov 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
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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.
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