Mathematical Modeling in Microbial Ecology

Inbunden, Engelska, 1997

AvA.L. Koch,Joseph A. Robinson,George A. Milliken,A. L. Koch,Arthur Koch,A L Koch,Joseph A Robinson,George A Milliken

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Mathematical modelling should be regarded as just another tool by microbial ecologists. Unfortunately, they seem to shun mathematical modelling approaches to biological systems. This text, a collaboration between mathematicians and microbial ecologists, attempts to change the state of affairs. It presents approximately a dozen specific applications of mathematical modelling in microbial ecology. Among the areas touched upon are biofilms, biodegradation, bioreactors, the microbes of the gut and rumen, soil systems and nitrogen transformation, and estuarine and benthic systems.

Produktinformation

Utgivningsdatum1997-10-31
Mått155 x 235 x 21 mm
Vikt558 g
FormatInbunden
SpråkEngelska
SerieChapman & Hall Microbiology Series
Antal sidor273
Upplaga1998
FörlagChapman and Hall
ISBN9780412035111

Tillhör följande kategorier

Matematisk statistik inom Naturvetenskap och teknik
Djurböcker inom Djur och natur
Zoologi inom Naturvetenskap och teknik
Biologi inom Naturvetenskap och teknik
Biovetenskap inom Naturvetenskap och teknik
Biokemi inom Naturvetenskap och teknik
Naturvetenskap:allmänt inom Naturvetenskap och teknik

1. What is Happening to Microbial Ecology?.- 1. Introduction.- 2. Analytical Methods.- 3. Kinetic Aspects.- 4. Principles of Kinetic Modeling.- 5. Progress in Statistical Methods.- 6. Conclusions.- 2. Modeling Microbial Processes: An Overview of Statistical Considerations.- 1. Introduction.- 2. Model Identification versus Discrimination.- 3. The Least-Squares Criterion.- 4. Model Identification.- 5. Model Discrimination.- 6. Optimal Experiments for Parameter Estimation.- 7. Concluding Remarks.- References.- 3. Analysis of Repeated Measures Data Using Nonlinear Models.- 1. Introduction.- 2. The Model.- 3. Parameter Estimation.- 4. Comparing the Treatments.- 5. Constructing Confidence Bands for the Models.- 6. Example 1: Growing Cookies.- 7. Example 2: Cumulative Radioactive CO2 Production.- 8. Summary.- References.- 4. The Monod Model and Its Alternatives.- 1. Jacques Monod: His Life and Work.- 2. The Monod Model and Its Derivations.- 3. Limitation of the Hyperbolic Model.- 4. The Blackman (1905) Model and the Best (1955) Model.- 5. Still More Complication: The Phosphotransferase System.- 6. Still More Complications: The Kinetic Contribution of Porins and Passage through the Outer Membrane.- 7. The Experimental Measurement of Glucose Consumption.- 8. Selection of a Mutant Growing More Avidly at Low Glucose Concentrations.- 9. The Data Fitting: The Role of Models.- 10. The Statistical Fitting.- 11. Diffusion Limitation and Effect of Multiple Layers.- 12. The Effect of the Variation of the Surface Area to Volume during the Cell Cycle.- 13. Grave Omissions.- 14. Conclusions.- References.- 5. Using Transport Model Interpretations of Tracer Tests to Study Microbial Processes in Groundwater.- 1. Introduction.- 2. The Groundwater Environment.- 3. Measuring Microbial Processes in an Aquifer.- 4. Tracer-Test Technology.- 5. Transport-Process Models.- 6. Assessing Methane Oxidation.- 7. Assessing Denitrification.- 8. Future Applications and Limitations.- References.- 6. Modeling of Pesticide Biodegradation in Soil Daniel R. Shelton, Michael A. Doherty, Timothy B. Parkin, and.- 1. Introduction.- 2. Modeling.- 3. More Elaborate Models.- 4. Effect of Microbial Numbers.- 5. Role of Sorption.- 6. Summary.- References.- 7. Modeling Nitrogen Transformation in Soil.- 1. Introduction.- 2. Using Models to Calculate Data.- 3. Using Models to Understand N Cycle Transformations and Their Regulation.- 4. Using Models to Make Predictions about N Cycling.- 5. Summary.- References.- 8. Construction and Analysis of Static, Structured Models of Nitrogen Cycling in Coastal Ecosystems.- 1. Introduction.- 2. Methods.- 3. Model Development.- 4. Analysis Results and Interpretation.- 5. Conclusions and Subsequent Directions.- References.- 9. A Modeling Approach to Elucidating the Distribution and Rates of Microbially Catalyzed Redox Reactions in Anoxic Groundwater.- 1. Introduction.- 2. Use of H2 Concentrations to Predict Terminal Electron-Accepting Processes in Anoxic Groundwater.- 3. Estimating Rates of Microbial Processes with Geochemical Modeling.- 4. Conclusions.- References.- 10. From the Ground Up: The Development and Demonstrated Utility of the Ruminai Ecosystem Model.- 1. Introduction.- 2. Balance Models of Rumen Digestion.- 3. Dynamic Models of Ruminant Digestion.- 4. Early Dynamic Models.- 5. Current Dynamic Models.- References.- 11. Mathematical Models of Bacterial Chemotaxis.- 1. Introduction.- 2. Population Balance Models.- 3. Cellular Dynamics Simulation.- 4. Comparison of Modeling Approaches.- 5. Application to Multiple Stimuli.- 6. Concluding Remarks.-References.