Modeling the Environment is designed for college students with an interest in systems and the environment. It introduces the use of system dynamics models to understand and manage environmental systems. The book provides material suitable for two semesters of study at the undergraduate level. It can also be used for a graduate course in computer simulation applied to environmental systems. 
Getting Started 
The book was written on the assumption that you have learned introductory algebra and that you have learned how to combine units of measurement. It is useful to refresh your memory in these areas at the outset. Appendix A reminds you how units are defined and combined. Appendix B describes exponential growth and decay, two of the more important topics from your previous study of mathematics You do not need to know calculus or differential equations to use this
book. Rather, you'll learn how to build mathematical models on the computer.
Your job is to concentrate on the structure of the model; the tedious job
of numerical simulation will be left to the computer. 
Part I. Introduction 
Chapter 1 introduces the general topic of modeling and the specific field
of system dynamics. Chapter 2 explains stocks and flows, the fundamental
building blocks of system dynamics models. The models are simulated numerically
on the computer, as explained in Chapter 3. The first opportunity to build
and use a model of a real environmental system appears in Chapter 4. It
describes a model of water flows in the Mono Basin of northern California. Chapter 5 describes the equilibrium diagram, a variation in the stock and flow diagram to show the flows that maintain a system in dynamic equilibrium. Chapter 6 describes two models of seemingly different systems that both exhibit S shaped growth over time. The similarity in their behavior arises from the similarity in their structure. Chapter 7 introduces a different way to look at the structure of a system. It explains causal loop diagrams, and it demonstrates how these diagrams draw our attention to the feedback structure of a system. Chapter 8 provides an opportunity to put the new diagrams to use to explain homeostasis. Chapter 9 concludes the introductory material with 'bull's eye' diagrams, a convenient way to portray the boundaries of a model. Back to Top 
Part II. Simulating Material Flow 
Material flows are of special interest to environmental scientists and managers, and system dynamics is well suited to simulate material flows because of the clarity of the stock and flow approach. Chapter 10 describes the methods most frequently used to simulate material flows through a system. Chapter 11 draws our attention to the fast moving flows and explains how they influence the selection of DT, the 'step size' in numerical simulations. The book then presents three applications to real environmental systems.
Chapter 12 describes the flow of the pesticide DDT through the soil, the
air, and the ocean and into the bodies of fish. Chapter 13 describes the
salmon smolts' spring migration down the Snake River, down the Columbia
River and into the ocean. Chapter 14 describes the life cycle of the salmon
born in the Tucannon River in eastern Washington. 
Part III. The Modeling Process 
Chapter 15 describes the process of building and testing a model. This is a trial and error process involving a combination of all the skills learned from the previous chapters. You'll read that experienced modelers concentrate as much on the process of model building as the model itself. Chapter 15 concludes with cases in which the iterative nature of the modeling process was the key to project success. Chapter 16 demonstrates the iterative process of modeling with a concrete
example of the deer herd on the Kaibab Plateau in northern Arizona. After
several iterations, chapter 16 arrives at a model to explain the rapid growth
and subsequent collapse of the deer herd in the 1920s. The Kaibab example
is a vivid illustration of the 'overshoot' pattern of behavior that may
be observed in a wide variety of systems. 
Part IV. Simulating Cyclical Systems 
The next three chapters turn our attention from systems that grow over time to systems that oscillate over time. The oscillations may be extremely volatile and pose serious problems, or they may be highly stable and provide the key to the system's longevity. Chapter 17 explains the fundamentals of oscillatory by drawing on the examples of S shaped growth from chapter 6. You'll read how the introduction of delays can change the stable systems from the previous chapter into highly oscillatory systems. Two examples are provided to allow you to build and test models of oscillatory
behavior. The first example is predatorprey cycles, one of the most widely
discussed topics from ecology. Chapter 18 describes cyclical patterns in
a population of cougars and deer on the Kaibab Plateau. The second example
is commodity production cycles, one of the more important topics from economics.
Chapter 19 describes a model of production cycles in the world aluminum
industry. 
Part V. Management Flight Simulators 
The next two chapters are devoted to management flight simulators. These are highly interactive models designed for ease of experimentation. The first example deals with the persistent problem of urban air pollution. Chapter 20 places you in the role of 'feebate manager.' By charging fees on the sale of dirty vehicles and allowing rebates for the purchase of clean vehicles, a state might reduce vehicle emissions within the urban air shed. Chapter 20 challenges you to learn whether a feebate program could be designed to operate in a financially prudent manner. The second example deals with the Gaia Hypothesis and the parable of
daisyworld. Chapter 21 provides a brief review of the Gaia Hypothesis and
the purpose of the mathematical model of an imaginary planet with black
and white daisies. You'll use the flight simulator to design a world with
the best possible prospects for sustaining life on daisyworld. 
Part VI. Conclusions  The two concluding chapters deal with the topics of validation and model use. Chapter 22 introduces opposing points of view on the controversial topic of model validation. It adopts a pragmatic point of view and explains five concrete tests that can be used to bolster confidence in a model. Of course, the ultimate test of a model's usefulness if whether it is
put to use. System dynamics models have been put to extensive use in the
electric power industry. Chapter 23 reviews the history of this industry,
and it describes how system dynamics has contributed a unique perspective
on the industry's problems. The lessons from this industry will help you
anticipate how the knowledge from this book might be used in your own field.

appendices  The appendices provide important material that is not normally read in sequential fashion. You should pick and choose which appendices will best support your own learning. The first two appendices are review material. Almost every reader will benefit from a quick review of units (Appendix A) and mathematics (Appendix B). The next six appendices deal with software. Stella is described in detail
in Appendix C because it has been selected for the examples in the book.
But you will quickly see the close similarity between Stella and the other
stock and flow programs by reading appendices D, E and F. 