Main Title 
Ecological modeling : a commonsense approach to theory and practice / 
Author 
Grant, William E.

Other Authors 

Publisher 
Blackwell Pub., 
Year Published 
2008 
OCLC Number 
137325186 
ISBN 
140516168X (pbk. : alk. paper); 9781405161688 (pbk. : alk. paper) 
Subjects 
EcologyMathematical models ;
Mathematisches Modell ;
èOkosystem

Internet Access 

Holdings 
Library 
Call Number 
Additional Info 
Location 
Last Modified 
Checkout Status 
EKCM 
QH541.15.M3G735 2008 

CEMM/GEMMD Library/Gulf Breeze,FL 
09/14/2010 
EKDM 
QH541.15.M3G735 2008 

CEMM/EPD Library/Athens,GA 
01/23/2013 
STATUS 

Collation 
xii, 155 p. : ill. ; 25 cm. 
Notes 
Includes bibliographical references (p. [131]132) and index. 
Contents Notes 
Introduction  Common sense solutions: three exercises  Modeling theory  Modeling practice  Theory, practice, and common sense  Intended use of this book  Common sense solutions  Three problems  Harvesting Ffod for the winter  Estimating the probability of population extinction  Managing the commons  The systems approach to problem solving  The conceptual model (Phase I)  The quantitative model (Phase II)  Model evaluation (Phase IIII)  Model application (Phase IV)  The three problems revisited: the systems approach In theory and practice  Theory I: the conceptual model  State the model objectives (Ia)  Bound the systemofinterest (Ib)  Categorize the components within the systemofinterest (Ic)  State variables  Material transfers  Sources and sinks  Information transfers  Driving variables  Constants  Auxiliary variables  Identify the relationships among the components that are of interest (Id)  Submodels  Represent the conceptual model (Ie)  Conceptualmodel diagrams  Describe the expected patterns of model behavior (If)  Theory II: the quantitative model  Select the general quantitative structure for the model (IIa)  Choose the basic time unit for the simulations (IIb)  Identify the functional forms of the model equations (IIc)  Information on which to base the choice of functional forms  Selecting types of equations to represent the chosen functional forms  Estimate the parameters of the model equations (IId)  statistical analyses within the context of simulation model parameterization  Quantifying qualitative information  Deterministicversus stochasticmodel parameterization  Execute the baseline simulation (IIe)  Baseline simulations for stochastic models  Theory III: model evaluation  Assess the reasonableness of the model structure and the interpretability of functional relationships within the model (IIIa)  Evaluate the correspondence between model behavior and the expected patterns of model behavior (IIIb)  Examine the correspondence between model projections and the data from the real system (IIIc)  Quantitative versus qualitative model evaluation  Determine the sensitivity of model projections to changes in the values of important parameters (IIId)  Interpreting sensitivity analysis within a model evaluation framework  Theory IV: model application  Develop and execute the experimental design for the simulations (IVa)  Analyze and interpret the simulation results (IVb)  Communicate the simulation results (IVc)  Some common pitfalls  Phase I pitfalls: the conceptual model  Phase II pitfalls: the quantitative model  Phase III pitfalls: model evaluation  Phase IV pitfalls: model application  The modeling process in practice  Preliminary conceptual model (CM)  How to begin  Adding new components to the model  Describing expected patterns  Describing the plan of attack  Intermediate development models (IDMi)  Evaluateadjust cycle for each developmental model  Sensitivity analysis of the last developmental model  Final model (FM)  The commonsense problems revisited  Harvesting food for the winter  The preliminary conceptual model (CM)  The last (only) intermediate development model (IDMlast)  The final model (FM)  Estimating the probability of population extinction  The preliminary conceptual model (CM)  The intermediate development models (IDMi)  The final model (FM)  Reflections  The systems approach as a complement to other methods of problem solving  Ecological modeling as a problemsolving process  Expectations for ecological models  A final thought. "Ecological Modeling: A CommonSense Approach to Theory and Practice is a downtoearth guide for students, teachers, and professional ecologists." "The text candidly addresses the question "What do I really need to know to begin building and using ecological models in a responsible manner?" In addition to providing a commonsense introduction to the basic principles of systems modeling, the authors suggest a practical strategy for dealing with pitfalls commonly encountered during model development. The ties between theory and practice, which beginning modelers often find so elusive, are demystified via the stepbystep development of three models representing ecological systems of increasing complexity."Jacket. 