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Many biologists and ecologists have developed models that find widespread use in theoretical investigations and in applications to organism behavior, disease control, population and metapopulation theory, ecosystem dynamics, and environmental management. This book captures and extends the process of model development by concentrating on the dynamic aspects of these processes and by providing the tools such that virtually anyone with basic knowledge in the Life Sciences can develop meaningful dynamic models. Examples of the systems modeled in the book range from models of cell development, the beating heart, the growth and spread of insects, spatial competition and extinction, to the spread and control of epidemics, including the conditions for the development of chaos. Key features: - easy-to-learn and easy-to-use software - examples from many subdisciplines of biology, covering models of cells, organisms, populations, and metapopulations - no prior computer or programming experience required Key benefits: - learn how to develop modeling skills and system thinking on your own rather than use models developed by others - be able to easily run models under alternative assumptions and investigate the implications of these assumptions for the dynamics of the biological system being modeled - develop skills to assess the dynamics of biological systems
List of contents
I. INTRODUCTION.- 1. Modeling Dynamic Biological Systems.- 2. Exploring Dynamic Biological Systems.- 3. Risky Population.- 4. Steady State, Oscillation and Chaos in Population Dynamics.- 5. Spatial Dynamics.- II. PHYSICAL AND BIOCHEMICAL MODELS.- 6. Law of Mass Action.- 7. Catalyzed Product.- 8. Two-Stage Nutrient Uptake.- 9. Iodine Compartment.- 10. The Brusselator.- 11. Signal Transmission.- III. Genetic Models.- 12. Mating and Mutation of Alleles.- 13. Artificial Worms.- 14. Langur Infanticide and Long-term Matriline Fitness.- IV. MODELS OF ORGANISM.- 15. Odor Sensing.- 16. Stochastic Resonance.- 17. Heart Beat.- 18. Bat Thermo-Regulation.- 19. The Optimum Plant.- 20. Soybean Plant Growth.- 21. Infectious Diseases.- VI. SINGLE POPULATION MODELS.- 22. Adaptive Population Control.- 23. Roan Herds.- 24. Population Dynamics of Voles.- 25. Lemming Population Dynamics.- 26. Multi-Stage Insect Models.- 27. Two Age-Class Parasites.- 28. Monkey Travels.- 29. Biosynchronicity.- VII. MULTIPLE POPULATION MODELS.- 30. Plant Microbe Interaction.- 31. Wildebeest.- 32. Nicholson-Bailey Host-Parasite Interaction.- 33. Diseased and Healthy Immigrating Insects.- 34. Two-Species Colonization Model.- 35. Herbivore-Algae Predator-Prey Dynamics.- 36. The Grass Carp.- 37. Recruitment and Trophic Dynamics of Gizzard Shad.- 38. Salamander Dispersal. 39. Quail Movement.- 40. Modeling Spatial Dynamics of Spatial Predator-Prey Interactions in a Changing.- VII. CATASTROPHE AND SELF-ORGANIZATION.- 41. Catastrophe.- 42. Spruce Budworm Dynamics.- 43. Game of Life.- 44. Daisyworld.- VIII. CONCLUSION.- 45. Building a Modeling Community.
About the author
Dr. Matthias Ruth is a full professor with appointments in the School of Public Policy and Urban Affairs and the Department of Civil and Environmental Engineering at Northeastern University.
Dr. Bruce Hannon is Jubilee Professor (Emeritus) of Liberal Arts and Sciences at the University of Illinois, Urbana-Champaign.
Summary
Many biologists and ecologists have developed models that find widespread use in theoretical investigations and in applications to organism behavior, disease control, population and metapopulation theory, ecosystem dynamics, and environmental management. This book captures and extends the process of model development by concentrating on the dynamic aspects of these processes and by providing the tools such that virtually anyone with basic knowledge in the Life Sciences can develop meaningful dynamic models. Examples of the systems modeled in the book range from models of cell development, the beating heart, the growth and spread of insects, spatial competition and extinction, to the spread and control of epidemics, including the conditions for the development of chaos. Key features: - easy-to-learn and easy-to-use software - examples from many subdisciplines of biology, covering models of cells, organisms, populations, and metapopulations - no prior computer or programming experience required Key benefits: - learn how to develop modeling skills and system thinking on your own rather than use models developed by others - be able to easily run models under alternative assumptions and investigate the implications of these assumptions for the dynamics of the biological system being modeled - develop skills to assess the dynamics of biological systems
Additional text
“I found this book to
be a delightful introduction to symbolic programming using STELLA. … I would
recommend this text to a reader interested in model development using symbolic
programming tasks.” (Megan Sawyer, MAA Reviews, October, 2015)
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"I found this book to be a delightful introduction to symbolic programming using STELLA. ... I would recommend this text to a reader interested in model development using symbolic programming tasks." (Megan Sawyer, MAA Reviews, October, 2015)
