Verfügbarkeit: Individual-based modeling and ecology

Individual-based modeling and ecology:

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Grimm, Volker 1958- (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Princeton [u.a.] Princeton Univ. Press 2005
Schriftenreihe:	Princeton series in theoretical and computational biology
Schlagworte:	Biocénoses - Modèles mathématiques Biologie des populations - Modèles mathématiques aPopulation biology > xMathematical models aBiotic communities > xMathematical models Mathematisches Modell Autökologie Populationsbiologie
Online-Zugang:	Table of contents Inhaltsverzeichnis
Beschreibung:	Includes bibliographical references and index
Beschreibung:	XVI, 428 S. Ill.
ISBN:	0691096651 069109666X

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Datensatz im Suchindex

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adam_text	INDIVIDUAL-BASED MODELING AND ECOLOGY VOLKER GRIMM STEVEN F. RAILSBACK PR INCETON UNIVERS ITY PRESS PRI NCETON A ND OX FORD CONTENTS PREFA CE ACKNOWLEDG ME NTS XI XV PART 1. MODELING CHAPTER 1. INTRODUCTION 3 1.1 WH Y INDIVIDUAL-BASEC MOD ELIN G AND ECO LOGY ? 3 1.2 LINKING IND IVIDUAL TRAIT S AND SYS TEM COMPLEXITY: THREE EXAMPLES 5 1.3 INDIVIDUAL-BASED ECOLOGY 9 1.4 EARLY ISSMS AND TH EIR RESEARCH PROGRAMS II 1.5 WH AT MAKES A MODEL AN IBM ? 13 1.6 STATUS AND CHALL ENGES OF THE INDIVIDU AL-BASED APPROACH J 5 1.7 CONCLUSION S AND OUTL OOK 19 CHAPTER 2. A PRIMER TO MODELING 22 2.1 LNTRODU CTION 22 2.2 HEURISTICS FOR MODELING 24 2.3 T HE MODELING CYCLE 27 2.4 SUMMARY AND DISCU SSION 36 CHAPTE R 3. PATTERN-ORIENTED MODELING 38 3.1 INTRODUCNON 38 3.2 WH Y PATTERN S. AND W HAT ARE PATTERNS? 40 3.3 TH E TASKS OF PATTERN-OR ICNT ED MODELING 4 3.4 DISCU SSION 48 PART 2. INDIVIDUAL-BASED ECOLOGY 5 1 CHAPTER 4. THE ORY IN INDIVIDUAL-BASED ECOLOGY 53 4.1 INTRODUCTI ON 53 4.2 BASIS FOR TH EORY IN IBE 55 4 .3 GOALS O F IBE THEORY 56 4.4 TH EOR Y STRUCTURE 58 4.5 TH EOR Y DEVELOPMENT CYCLE 60 4.6 EXAMPL E: DEVELOP MENT OF HABITAT SELECT ION THEO RY FOR TROUT 63 4.7 SUMMARY AND DISCU SSION 68 VIII CHAPTER 5. A CO NCEPTUAL FRAMEWORK FOR DESIGNING LNDIVIDUAL-BASED MODELS 5.1 LRURODUCTION 5.2 ERNERGCNCE 5.3 ADAPTIVE TRAITS AND BEHA VIOR 5.4 FITNESS 5.5 PREDI CTION 5.6 INTERACTION 5.7 SENSIN G 5.8 STOCH ASTICITY 5.9 COLLECT IVES 5. 10 SCHEDULING 5.11 OBSERVATION 5.12 SUMMARY AND CO NCLUSIONS 5.13 CO NCEP TUAL DESIGN CHECKLIST CHAPTER 6. EXAMPLES 6. 1 INTRODUCTION 6.2 GRO UP AND SOCIA! BEHAVIOR 6.3 POPULATION DYNAMICS OF SOCIAL ANIMALS 6.4 MOVEMENT: DISPERSAL AND HABITAT SELECTION 6.5 REGULATION OF HYPOTHETICAL POPULATIONS 6.6 COMPARI SON WITH CLASSICAL MODELS 6.7 DYNARME S OF PLANT POPULAT IONS AND COM MUN ITIES 6.8 STRU CTU RE OF COM MUNITI ES AND ECOSYSTERNS 6.9 ART IFICIALL Y EVOLVED TRAITS 6.10 SU MMARY AND CONCL USION S PART 3. THE ENGINE ROOM CHAPTER 7. FORMULATING INDIV IDUAL-BASED MODELS 7. 1 INTRODUCT ION 7.2 CO NTENT S OF AN IBM FORMUL ARION 7.3 FORMULATING AN IBM S SPAT IAL ELE MEN TS 7.4 FORM ULATING LOGICAL AND PROB ABILISTIC RULES 7.5 FORM ULAT ING ADAPTIVE TRAITS 7.6 CONTROLLING UNCERTAINTY 7.7 USIN G OBJECT-ORIENTED DESI GN AND DESC RIPTION 7.8 USIN G MECHANISTIC AND DISCRCTE MATHEMAUES 7.9 DESIGNIN G SUPERINDIVIDUALS 7.10 SUMMARY AND CONCLUSION S CHAPTER 8. SOFTWARE FOR IND IVIDUAL-BASED MODELS 8.1 INTRODUCTION 8.2 THE LRNPORTANCE OF SOFTWARE DESIGN FOR IBMS 8.3 SOFTW ARE TERM INOL OGY AND CONCCPTS 8.4 SOFTW ARE PLATFORRNS 8.5 SOFTWARE TCSTING 8.6 MOVING SOFTWARE DEVELOPRN ERU FORWARD CONTENTS 7 1 7 1 73 79 84 91 95 98 101 105 109 116 117 119 122 122 125 145 163 178 187 199 218 234 242 245 247 247 248 249 253 255 260 262 264 266 269 270 270 273 274 279 288 294 CONTENTS IX 8.7 IMPORTANT IMPL EMENTATION TECHNIQUES 30 1 8.8 SOME FAVORITE SOFTWARE MYTH S 306 8.9 SUMMARY AND CO NCLUSIONS 308 CHAPTER 9. A NALYZING INDIVIDU AL -B ASED M OD EL S 312 9. 1 INTRODUCTION 3 12 9.2 STEPS IN ANALYZING AN IBM 3 13 9.3 GENERAL STRATEGICS FOR ANALYZING IBM S 3I5 9.4 TECHN IQUES FOR ANALYZING IBMS 319 9.5 STATISTICAL ANAL YSIS 327 9.6 SENSITIVITY AND UNCERTAI NTY ANAL YSIS 335 9.7 ROBU STNESS ANALYSIS 336 9.8 PARAMETERIZATION 341 9.9 INDEPENDENT PREDICTIONS 345 9.10 SUMMARY AND CONCLU SIONS 346 CHAPTER 10. C OMMUNIC ATING INDIVIDUAL-BASED M OD EL S A ND RESE ARCH 349 10.1 INTRODUCTION 349 10.2 TYPES OF IBE WORK TO CO MMUNICA TE 350 10.3 COMPLETE AND EFFICIE NT MODE L DESCRIPTION 351 10.4 COMMON REVIEW COMMENTS 354 10.5 VISUAL COMRNUNICATION OF EXECUTABLE MODELS 356 10.6 CO MMUNICATING SOFTWARE 358 10.7 SUMM ARY AND CONC LUSIONS 359 PART 4. CONCLUSIONS AND OUTLOOK 363 C HA PTE R 11. USI NG ANALYTICAL M ODELS IN INDI VIDUAL -B ASED ECOLOGY 365 11.1 INTRODUCTION 365 11.2 CLASSIFICATIONS OF ECOLOGICAL MODELS 366 11.3 BENEFITS OF ANALYTICA L MODELS 368 11.4 ANALYTICAL APPROXI MATIO N OF IBMS 369 J 1.5 USING ANAJYTICAL MODELS TO UNDERSTAND AND ANALYZE IBMS 372 11.6 SUMMARY AND DISCUSSION 379 CHAPTER 12. CONCLUSIONS AND OUTLOOK FOR INDIVIDUAL-BASED ECOLOGY 380 12.1 INTRODUCTION 380 12.2 WHY DO WE NEED IBE? 381 J 2.3 HOW IS IBE DIFFERENT FROM TRADITIONAL ECO LOGY ? 382 12.4 WHAT CA N ECOLOGY CONTRIBUTE TO THE SCIENCE OF COMPL EX SYSTEMS? 387 12.5 A VISIT TO THE INDIVID UAL-BASED ECOLOGY LABORATORY 388 GLOSSARY 391 REFERENCES 395 INDEX 421
adam_txt	INDIVIDUAL-BASED MODELING AND ECOLOGY VOLKER GRIMM STEVEN F. RAILSBACK PR INCETON UNIVERS ITY PRESS PRI NCETON A ND OX FORD CONTENTS PREFA CE ACKNOWLEDG ME NTS XI XV PART 1. MODELING CHAPTER 1. INTRODUCTION 3 1.1 WH Y INDIVIDUAL-BASEC MOD ELIN G AND ECO LOGY ? 3 1.2 LINKING IND IVIDUAL TRAIT S AND SYS TEM COMPLEXITY: THREE EXAMPLES 5 1.3 INDIVIDUAL-BASED ECOLOGY 9 1.4 EARLY ISSMS AND TH EIR RESEARCH PROGRAMS II 1.5 WH AT MAKES A MODEL AN IBM ? 13 1.6 STATUS AND CHALL ENGES OF THE INDIVIDU AL-BASED APPROACH J 5 1.7 CONCLUSION S AND OUTL OOK 19 CHAPTER 2. A PRIMER TO MODELING 22 2.1 LNTRODU CTION 22 2.2 HEURISTICS FOR MODELING 24 2.3 T HE MODELING CYCLE 27 2.4 SUMMARY AND DISCU SSION 36 CHAPTE R 3. PATTERN-ORIENTED MODELING 38 3.1 INTRODUCNON 38 3.2 WH Y PATTERN S. AND W HAT ARE PATTERNS? 40 3.3 TH E TASKS OF PATTERN-OR ICNT ED MODELING 4 \ 3.4 DISCU SSION 48 PART 2. INDIVIDUAL-BASED ECOLOGY 5 1 CHAPTER 4. THE ORY IN INDIVIDUAL-BASED ECOLOGY 53 4.1 INTRODUCTI ON 53 4.2 BASIS FOR TH EORY IN IBE 55 4 .3 GOALS O F IBE THEORY 56 4.4 TH EOR Y STRUCTURE 58 4.5 TH EOR Y DEVELOPMENT CYCLE 60 4.6 EXAMPL E: DEVELOP MENT OF HABITAT SELECT ION THEO RY FOR TROUT 63 4.7 SUMMARY AND DISCU SSION 68 VIII CHAPTER 5. A CO NCEPTUAL FRAMEWORK FOR DESIGNING LNDIVIDUAL-BASED MODELS 5.1 LRURODUCTION 5.2 ERNERGCNCE 5.3 ADAPTIVE TRAITS AND BEHA VIOR 5.4 FITNESS 5.5 PREDI CTION 5.6 INTERACTION 5.7 SENSIN G 5.8 STOCH ASTICITY 5.9 COLLECT IVES 5. 10 SCHEDULING 5.11 OBSERVATION 5.12 SUMMARY AND CO NCLUSIONS 5.13 CO NCEP TUAL DESIGN CHECKLIST CHAPTER 6. EXAMPLES 6. 1 INTRODUCTION 6.2 GRO UP AND SOCIA! BEHAVIOR 6.3 POPULATION DYNAMICS OF SOCIAL ANIMALS 6.4 MOVEMENT: DISPERSAL AND HABITAT SELECTION 6.5 REGULATION OF HYPOTHETICAL POPULATIONS 6.6 COMPARI SON WITH CLASSICAL MODELS 6.7 DYNARME S OF PLANT POPULAT IONS AND COM MUN ITIES 6.8 STRU CTU RE OF COM MUNITI ES AND ECOSYSTERNS 6.9 ART IFICIALL Y EVOLVED TRAITS 6.10 SU MMARY AND CONCL USION S PART 3. THE ENGINE ROOM CHAPTER 7. FORMULATING INDIV IDUAL-BASED MODELS 7. 1 INTRODUCT ION 7.2 CO NTENT S OF AN IBM FORMUL ARION 7.3 FORMULATING AN IBM 'S SPAT IAL ELE MEN TS 7.4 FORM ULATING LOGICAL AND PROB ABILISTIC RULES 7.5 FORM ULAT ING ADAPTIVE TRAITS 7.6 CONTROLLING UNCERTAINTY 7.7 USIN G OBJECT-ORIENTED DESI GN AND DESC RIPTION 7.8 USIN G MECHANISTIC AND DISCRCTE MATHEMAUES 7.9 DESIGNIN G SUPERINDIVIDUALS 7.10 SUMMARY AND CONCLUSION S CHAPTER 8. SOFTWARE FOR IND IVIDUAL-BASED MODELS 8.1 INTRODUCTION 8.2 THE LRNPORTANCE OF SOFTWARE DESIGN FOR IBMS 8.3 SOFTW ARE TERM INOL OGY AND CONCCPTS 8.4 SOFTW ARE PLATFORRNS 8.5 SOFTWARE TCSTING 8.6 MOVING SOFTWARE DEVELOPRN ERU FORWARD CONTENTS 7 1 7 1 73 79 84 91 95 98 101 105 109 116 117 119 122 122 125 145 163 178 187 199 218 234 242 245 247 247 248 249 253 255 260 262 264 266 269 270 270 273 274 279 288 294 CONTENTS IX 8.7 IMPORTANT IMPL EMENTATION TECHNIQUES 30 1 8.8 SOME FAVORITE SOFTWARE MYTH S 306 8.9 SUMMARY AND CO NCLUSIONS 308 CHAPTER 9. A NALYZING INDIVIDU AL -B ASED M OD EL S 312 9. 1 INTRODUCTION 3 12 9.2 STEPS IN ANALYZING AN IBM 3 13 9.3 GENERAL STRATEGICS FOR ANALYZING IBM S 3I5 9.4 TECHN IQUES FOR ANALYZING IBMS 319 9.5 STATISTICAL ANAL YSIS 327 9.6 SENSITIVITY AND UNCERTAI NTY ANAL YSIS 335 9.7 ROBU STNESS ANALYSIS 336 9.8 PARAMETERIZATION 341 9.9 INDEPENDENT PREDICTIONS 345 9.10 SUMMARY AND CONCLU SIONS 346 CHAPTER 10. C OMMUNIC ATING INDIVIDUAL-BASED M OD EL S A ND RESE ARCH 349 10.1 INTRODUCTION 349 10.2 TYPES OF IBE WORK TO CO MMUNICA TE 350 10.3 COMPLETE AND EFFICIE NT MODE L DESCRIPTION 351 10.4 COMMON REVIEW COMMENTS 354 10.5 VISUAL COMRNUNICATION OF EXECUTABLE MODELS 356 10.6 CO MMUNICATING SOFTWARE 358 10.7 SUMM ARY AND CONC LUSIONS 359 PART 4. CONCLUSIONS AND OUTLOOK 363 C HA PTE R 11. USI NG ANALYTICAL M ODELS IN INDI VIDUAL -B ASED ECOLOGY 365 11.1 INTRODUCTION 365 11.2 CLASSIFICATIONS OF ECOLOGICAL MODELS 366 11.3 BENEFITS OF ANALYTICA L MODELS 368 11.4 ANALYTICAL APPROXI MATIO N OF IBMS 369 J 1.5 USING ANAJYTICAL MODELS TO UNDERSTAND AND ANALYZE IBMS 372 11.6 SUMMARY AND DISCUSSION 379 CHAPTER 12. CONCLUSIONS AND OUTLOOK FOR INDIVIDUAL-BASED ECOLOGY 380 12.1 INTRODUCTION 380 12.2 WHY DO WE NEED IBE? 381 J 2.3 HOW IS IBE DIFFERENT FROM TRADITIONAL ECO LOGY ? 382 12.4 WHAT CA N ECOLOGY CONTRIBUTE TO THE SCIENCE OF COMPL EX SYSTEMS? 387 12.5 A VISIT TO THE INDIVID UAL-BASED ECOLOGY LABORATORY 388 GLOSSARY 391 REFERENCES 395 INDEX 421
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spellingShingle	Grimm, Volker 1958- Individual-based modeling and ecology Biocénoses - Modèles mathématiques Biologie des populations - Modèles mathématiques aPopulation biology xMathematical models aBiotic communities xMathematical models Mathematisches Modell (DE-588)4114528-8 gnd Autökologie (DE-588)4143684-2 gnd Populationsbiologie (DE-588)4046800-8 gnd
subject_GND	(DE-588)4114528-8 (DE-588)4143684-2 (DE-588)4046800-8
title	Individual-based modeling and ecology
title_alt	Individual based modeling and ecology
title_auth	Individual-based modeling and ecology
title_exact_search	Individual-based modeling and ecology
title_exact_search_txtP	Individual-based modeling and ecology
title_full	Individual-based modeling and ecology Volker Grimm ; Steven F. Railsback
title_fullStr	Individual-based modeling and ecology Volker Grimm ; Steven F. Railsback
title_full_unstemmed	Individual-based modeling and ecology Volker Grimm ; Steven F. Railsback
title_short	Individual-based modeling and ecology
title_sort	individual based modeling and ecology
topic	Biocénoses - Modèles mathématiques Biologie des populations - Modèles mathématiques aPopulation biology xMathematical models aBiotic communities xMathematical models Mathematisches Modell (DE-588)4114528-8 gnd Autökologie (DE-588)4143684-2 gnd Populationsbiologie (DE-588)4046800-8 gnd
topic_facet	Biocénoses - Modèles mathématiques Biologie des populations - Modèles mathématiques aPopulation biology xMathematical models aBiotic communities xMathematical models Mathematisches Modell Autökologie Populationsbiologie
url	http://www.loc.gov/catdir/toc/ecip051/2004022435.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014738642&sequence=000005&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT grimmvolker individualbasedmodelingandecology AT railsbackstevenf individualbasedmodelingandecology

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