Mathematical modeling in microbial ecology:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Chapman & Hall
1998
|
| Schriftenreihe: | Chapman & Hall microbiology series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XII, 273 S. graph. Darst. |
| ISBN: | 0412035111 |
Internformat
MARC
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| 245 | 1 | 0 | |a Mathematical modeling in microbial ecology |c ed. by Arthur L. Koch ... |
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| 300 | |a XII, 273 S. |b graph. Darst. | ||
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Datensatz im Suchindex
| _version_ | 1804127215337603072 |
|---|---|
| adam_text | Mathematical
Modeling in
Microbial Ecology
Indiana University
Department of Biology
Bloomington, IN
•Joseph A
Upjohn Laboratories
Biostatistic and Environmental Research
Kalamazoo, Ml
Kansas State University
Department of Statistics
Manhattan, KS
CHAPMAN amp; HALL
) P INTERNATIONAL THOMSON PUBLISHING
Thomson Science
New York • Albany • Bonn • Boston • Cincinnati • Detroit
London • Madrid • Melbourne • Mexico City • Pacific Grove
Paris • San Francisco • Singapore • Tokyo • Toronto • Washington
Contents
Preface ix
Contributors xi
1 What is Happening to Microbial Ecology? 1
Arthur L Koch
1 Introduction 1
2 Analytical Methods 2
3 Kinetic Aspects 6
4 Principles of Kinetic Modeling 9
5 Progress in Statistical Methods 10
6 Conclusions 12
2 Modeling Microbial Processes: An Overview of
Statistical Considerations 14
Joseph A Robinson
1 Introduction 14
2 Model Identification versus Discrimination 15
3 The Least-Squares Criterion 17
4 Model Identification 18
5 Model Discrimination 23
6 Optimal Experiments for Parameter Estimation 28
7 Concluding Remarks 29
References 30
3 Analysis of Repeated Measures Data Using Nonlinear Models 32
George A Milliken and April J Milliken-MacKinnon
1 Introduction 32
2 The Model 34
3 Parameter Estimation 35
vi Contents
i
4 Comparing the Treatments 36
5 Constructing Confidence Bands for the Models 38
6 Example 1: Growing Cookies 41
7 Example 2: Cumulative Radioactive CO2 Production 48
8 Summary 61
References 61
4 The Monod Model and Its Alternatives 62
Arthur L Koch
1 Jacques Monod: His Life and Work 62
2 The Monod Model and Its Derivations 69
3 Limitation of the Hyperbolic Model 72
4 The Blackman (1905) Model and the Best (1955) Model 73
5 Still More Complication: The Phosphotransferase System 79
6 Still More Complications: The Kinetic Contribution of Porins and
Passage through the Outer Membrane 82
7 The Experimental Measurement of Glucose Consumption 82
8 Selection of a Mutant Growing More Avidly at Low Glucose
Concentrations 83
9 The Data Fitting: The Role of Models 83
10 The Statistical Fitting 85
11 Diffusion Limitation and Effect of Multiple Layers 87
12 The Effect of the Variation of the Surface Area to Volume
during the Cell Cycle 88
13 Grave Omissions 90
14 Conclusions 90
References 91
5 Using Transport Model Interpretations of Tracer Tests to
Study Microbial Processes in Groundwater 94
Richard L Smith and Stephen P Garabedian
1 Introduction 94
2 The Groundwater Environment 95
3 Measuring Microbial Processes in an Aquifer 101
4 Tracer-Test Technology 102
5 Transport-Process Models 105
6 Assessing Methane Oxidation 108
7 Assessing Denitrification 112
8 Future Applications and Limitations 120
References 121
Contents vii
6 Modeling of Pesticide Biodegradation in Soil 124
Daniel R Shelton, Michael A Doherty, Timothy B Parkin, and
Joseph A Robinson
1 Introduction 124
2 Modeling 125
3 More Elaborate Models 127
4 Effect of Microbial Numbers 130
5 Role of Sorption 131
6 Summary 137
References 138
7 Modeling Nitrogen Transformation in Soil 142
David D Myrold
1 Introduction 142
2 Using Models to Calculate Data 142
3 Using Models to Understand N Cycle Transformations and
Their Regulation 147
4 Using Models to Make Predictions about N Cycling 154
5 Summary 157
References 157
8 Construction and Analysis of Static, Structured Models of Nitrogen
Cycling in Coastal Ecosystems 162
Robert R Christian, Mariachiara Naldi, and Pierluigi Viaroli
1 Introduction 162
2 Methods 165
3 Model Development 170
4 Analysis Results and Interpretation 177
5 Conclusions and Subsequent Directions 189
References 192
9 A Modeling Approach to Elucidating the Distribution and Rates of
Microbially Catalyzed Redox Reactions in Anoxic Groundwater 196
Derek R Lovley and Francis H Chapelle
1 Introduction 196
2 Use of H2 Concentrations to Predict Terminal Electron-Accepting
Processes in Anoxic Groundwater 197
3 Estimating Rates of Microbial Processes with
Geochemical Modeling 201
4 Conclusions 206
References 207
viii Contents
10 • From the Ground Up: The Development and Demonstrated
Utility of the Ruminal Ecosystem Model 210
R L Baldwin and K C Donovan
1 Introduction 210
2 Balance Models of Rumen Digestion 211
3 Dynamic Models of Ruminant Digestion 214
4 Early Dynamic Models 214
5 Current Dynamic Models 219
References 224
11 Mathematical Models of Bacterial Chemotaxis 228
Roseanne M Ford and Peter T Cummings
1 Introduction 228
2 Population Balance Models 235
3 Cellular Dynamics Simulation 245
4 Comparison of Modeling Approaches 248
5 Application to Multiple Stimuli 256
6 Concluding Remarks 264
References 267
Index 271
|
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| isbn | 0412035111 |
| language | English |
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| physical | XII, 273 S. graph. Darst. |
| publishDate | 1998 |
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| series2 | Chapman & Hall microbiology series |
| spelling | Mathematical modeling in microbial ecology ed. by Arthur L. Koch ... New York [u.a.] Chapman & Hall 1998 XII, 273 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Chapman & Hall microbiology series Écologie microbienne - Modèles mathématiques ram Mathematisches Modell Microbial ecology Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Ökologie (DE-588)4043207-5 gnd rswk-swf Mikroorganismus (DE-588)4039226-0 gnd rswk-swf Mikroorganismus (DE-588)4039226-0 s Ökologie (DE-588)4043207-5 s Mathematisches Modell (DE-588)4114528-8 s DE-604 Koch, Arthur L. Sonstige oth HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008533969&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Mathematical modeling in microbial ecology Écologie microbienne - Modèles mathématiques ram Mathematisches Modell Microbial ecology Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Ökologie (DE-588)4043207-5 gnd Mikroorganismus (DE-588)4039226-0 gnd |
| subject_GND | (DE-588)4114528-8 (DE-588)4043207-5 (DE-588)4039226-0 |
| title | Mathematical modeling in microbial ecology |
| title_auth | Mathematical modeling in microbial ecology |
| title_exact_search | Mathematical modeling in microbial ecology |
| title_full | Mathematical modeling in microbial ecology ed. by Arthur L. Koch ... |
| title_fullStr | Mathematical modeling in microbial ecology ed. by Arthur L. Koch ... |
| title_full_unstemmed | Mathematical modeling in microbial ecology ed. by Arthur L. Koch ... |
| title_short | Mathematical modeling in microbial ecology |
| title_sort | mathematical modeling in microbial ecology |
| topic | Écologie microbienne - Modèles mathématiques ram Mathematisches Modell Microbial ecology Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Ökologie (DE-588)4043207-5 gnd Mikroorganismus (DE-588)4039226-0 gnd |
| topic_facet | Écologie microbienne - Modèles mathématiques Mathematisches Modell Microbial ecology Mathematical models Ökologie Mikroorganismus |
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