Ecological Modeling:A Commonsense Approach to Theory and Practice explores how simulation modeling and its new ecological applications can offer solutions to complex natural resource management problems. This is a practical guide for students, teachers, and professional ecologists. Examines four phases of the modeling process: conceptual model formulation, quantitative model specification, model evaluation, and model use Provides useful building blocks for constructing systems simulation models Includes a format for reporting the development and use of simulation models Offers an…mehr
Ecological Modeling:A Commonsense Approach to Theory and Practice explores how simulation modeling and its new ecological applications can offer solutions to complex natural resource management problems. This is a practical guide for students, teachers, and professional ecologists.
Examines four phases of the modeling process: conceptual model formulation, quantitative model specification, model evaluation, and model use
Provides useful building blocks for constructing systems simulation models
Includes a format for reporting the development and use of simulation models
Offers an integrated systems perspective for students, faculty, and professionals
Features helpful insights from the author, gained over 30 years of university teaching
Bill Grant has taught ecological modeling in the Department of Wildlife and Fisheries Sciences (WFSC) at Texas A&M University since 1976, has served on the Board of Governors and as President of the International Society for Ecological Modeling, and has been Associate Editor of the international journal Ecological Modelling since 1997. Todd Swannack also has taught ecological modeling in WFSC at Texas A&M University, and has been modeling the population dynamics of endangered species since 2002.
Inhaltsangabe
Preface. Acknowledgments. 1 Introduction. 1.1 Common Sense Solutions: Three Exercises. 1.2 Modeling Theory. 1.3 Modeling Practice. 1.4 Theory, Practice, and Common Sense. 1.5 Intended Use of this Book. 2 Common Sense Solutions. 2.1 Three Problems. 2.2 The Systems Approach to Problem Solving. 2.3 The Three Problems Revisited: The Systems Approach. 3 Theory I: The Conceptual Model. 3.1 State the Model Objectives (Ia). 3.2 Bound the System-of-Interest (Ib). 3.3 Categorize the Components within the System-of-Interest (Ic). 3.4 Identify the Relationships among the Components That Are of Interest (Id). 3.5 Represent the Conceptual Model (Ie). 3.6 Describe the Expected Patterns of Model Behavior (If). 4 Theory II: The Quantitative Model. 4.1 Select the General Quantitative Structure for the Model (IIa). 4.2 Choose the Basic Time Unit for the Simulations (IIb). 4.3 Identify the Functional Forms of the Model Equations (IIc). 4.4 Estimate the Parameters of the Model Equations (IId). 4.5 Execute the Baseline Simulation (IIe). 5 Theory III: Model Evaluation. 5.1 Assess the Reasonableness of the Model Structure and the Interpretability of Functional Relationships within the Model (IIIa). 5.2 Evaluate the Correspondence between Model Behavior and the Expected Patterns of Model Behavior (IIIb). 5.3 Examine the Correspondence between Model Projections and the Data from the Real System (IIIc). 5.4 Determine the Sensitivity of Model Projections to Changes in the Values of Important Parameters (IIId). 6 Theory IV: Model Application. 6.1 Develop and Execute the Experimental Design for the Simulations (IVa). 6.2 Analyze and Interpret the Simulation Results (IVb). 6.3 Communicate the Simulation Results (IVc). 7 Some Common Pitfalls. 7.1 Phase I: Pitfalls: The Conceptual Model. 7.2 Phase II Pitfalls: The Quantitative Model. 7.3 Phase III Pitfalls: Model Evaluation. 7.4 Phase IV Pitfalls: Model Application. 8 The Modeling Process In Practice. 8.1 The Preliminary Conceptual Model (CM). 8.2 The Intermediate Developmental Models (IDMi). 8.3 The Final Model (FM). 8.4 The Three Problems Revisited. 9 Reflections. 9.1 The Systems Approach as a Complement to other Methods of Problem Solving. 9.2 Ecological Modeling as a Problem-Solving Process. 9.3 Expectations for Ecological Models. 9.4 A Final Thought. References. Appendix A: Introduction To The Ecological Modeling Literature. Appendix B: Scientific Reports For The Three Examples. B.1: Effect of Deforestation on Rate of Food Harvest. B.2: Effect of Hurricane Frequency on Probability of Population Extinction. B.3: Effect of Stocking Rate on Forage and Animal Production. Index
Preface. Acknowledgments. 1 Introduction. 1.1 Common Sense Solutions: Three Exercises. 1.2 Modeling Theory. 1.3 Modeling Practice. 1.4 Theory, Practice, and Common Sense. 1.5 Intended Use of this Book. 2 Common Sense Solutions. 2.1 Three Problems. 2.2 The Systems Approach to Problem Solving. 2.3 The Three Problems Revisited: The Systems Approach. 3 Theory I: The Conceptual Model. 3.1 State the Model Objectives (Ia). 3.2 Bound the System-of-Interest (Ib). 3.3 Categorize the Components within the System-of-Interest (Ic). 3.4 Identify the Relationships among the Components That Are of Interest (Id). 3.5 Represent the Conceptual Model (Ie). 3.6 Describe the Expected Patterns of Model Behavior (If). 4 Theory II: The Quantitative Model. 4.1 Select the General Quantitative Structure for the Model (IIa). 4.2 Choose the Basic Time Unit for the Simulations (IIb). 4.3 Identify the Functional Forms of the Model Equations (IIc). 4.4 Estimate the Parameters of the Model Equations (IId). 4.5 Execute the Baseline Simulation (IIe). 5 Theory III: Model Evaluation. 5.1 Assess the Reasonableness of the Model Structure and the Interpretability of Functional Relationships within the Model (IIIa). 5.2 Evaluate the Correspondence between Model Behavior and the Expected Patterns of Model Behavior (IIIb). 5.3 Examine the Correspondence between Model Projections and the Data from the Real System (IIIc). 5.4 Determine the Sensitivity of Model Projections to Changes in the Values of Important Parameters (IIId). 6 Theory IV: Model Application. 6.1 Develop and Execute the Experimental Design for the Simulations (IVa). 6.2 Analyze and Interpret the Simulation Results (IVb). 6.3 Communicate the Simulation Results (IVc). 7 Some Common Pitfalls. 7.1 Phase I: Pitfalls: The Conceptual Model. 7.2 Phase II Pitfalls: The Quantitative Model. 7.3 Phase III Pitfalls: Model Evaluation. 7.4 Phase IV Pitfalls: Model Application. 8 The Modeling Process In Practice. 8.1 The Preliminary Conceptual Model (CM). 8.2 The Intermediate Developmental Models (IDMi). 8.3 The Final Model (FM). 8.4 The Three Problems Revisited. 9 Reflections. 9.1 The Systems Approach as a Complement to other Methods of Problem Solving. 9.2 Ecological Modeling as a Problem-Solving Process. 9.3 Expectations for Ecological Models. 9.4 A Final Thought. References. Appendix A: Introduction To The Ecological Modeling Literature. Appendix B: Scientific Reports For The Three Examples. B.1: Effect of Deforestation on Rate of Food Harvest. B.2: Effect of Hurricane Frequency on Probability of Population Extinction. B.3: Effect of Stocking Rate on Forage and Animal Production. Index
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