Inevitable aging?: contributions to evolutionary-demographic theory
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2008
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Schriftenreihe: | Demographic research monographs
|
Schlagworte: | |
Online-Zugang: | Klappentext Inhaltsverzeichnis |
Beschreibung: | XX, 170 S. zahlr. graph. Darst. 235 mm x 155 mm |
ISBN: | 9783540766551 3540766553 |
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adam_text | Annette Saudisch
inevitable Aging?
Aging is inevitable; this is gerontological dogma. And humans do
inevitably grow old, which is probably why it seems so unlikely to us
that other forms of life could escape aging. Escaping aging is not
escaping death. Death is an inherent part of life, and it can strike any
time. But the question is whether death necessarily becomes more
likely as life proceeds. And it does not. The theoretical results in this
monograph indicate that life provides alternative strategies. While
some organisms will deteriorate over adult ages, for others mortality
appears to
fali
or remain constant, at least over an extended period of
life after reproductive maturity. This is empirically observed espe¬
cially for species that keep on growing during adult ages. Perhaps the
diversity of aging matches the diversity of life. My thesis, the central
insight of this monograph, is: to deeply understand why some spe¬
cies age it is necessary to understand why other species do not.
The Springer series Demographic Research Monographs publishes refe-
reed monographs under the editorial supervision of the Max Planck
Institute for Demographic Research. The scope of the series spans
the entire field of demography, with a view to significantly advance
research. Volumes are compact with a clear focus. Key research top¬
ics include population aging as well as fertility and family dynam¬
ics, especially in Europe. The series also places special emphasis on
mathematical demography, historical demography, and biodemogra-
phy, including research with ties to epidemiology, genetics, evolution¬
ary biology, experimental demography and paleodemography. Each
volume has a link to research conducted at or supported by the Max
Planck Institute for Demographic Research.
CONTENTS FOREWORD VII 1 INTRODUCTION 1 1.1 SYNOPSIS 1 1.2 BACKGROUND 3
1.2.1 SENESCENCE - PARADOX? * INEVITABLE? 3 1.2.2 EVOLUTIONARY THEORIES
OF SENESCENCE 4 1.2.3 MEASURING SENESCENCE 5 1.2.4 MEASURING FITNESS 9
1.2.5 OPTIMAL LIFE HISTORY 10 1.2.6 INTERESTING RECENT DEVELOPMENTS 13
1.3 ORIENTATION 15 PART I HAMILTON 2 HAMILTON S INDICATORS OF THE FORCE
OF SELECTION 19 2.1 INTRODUCTION 19 2.2 HAMILTON S DERIVATIONS 20 2.2.1
THE FRAMEWORK 20 2.2.2 HAMILTON S INDICATOR OF SURVIVAL 21 2.3
ALTERNATIVE INDICATORS 22 2.3.1 DIFFERENT PARAMETRIZATION , 22 2.3.2
WHEN SELECTION PRESSURE INCREASES 22 2.3.3 FERTILITY INDICATORS 23 2.3.4
ARE SOME INDICATORS BETTER? 24 2.3.5 OPTIMIZATION VS. MUTATIONAL BURDEN
26 2.4 MUTATION*SELECTION BALANCE . . 26 2.4.1 ADDITIVE VS. PROPORTIONAL
PARAMETRIZATION 27 XVI CONTENTS 2.4.2 A SIMPLE BOX MODEL 28 2.5 THE
IMPORTANCE OF MUTATION ACCUMULATION 32 2.6 CONCLUSION 33 3 FURTHER
CHALLENGES 35 3.1 GENERAL PROBLEM WITH ALL INDICATORS 35 3.2 THEORETICAL
ARGUMENTS 38 3.2.1 MUTATION-SELECTION BALANCE 38 3.2.2 UNRAVELING 38
3.2.3 VARIABLE ENVIRONMENTS 40 3.2.4 OTHER MECHANISMS 41 3.3 EMPIRICAL
EVIDENCE 41 3.3.1 TESTING PRECONDITIONS FOR MUTATION ACCUMULATION 41
3.3.2 CHECKING PREDICTIONS FROM MUTATION ACCUMULATION 42 3.3.3 EMPIRICAL
EVIDENCE FOR NON-SENESCENCE 44 3.4 CONCLUSION 45 PART II OPTIMIZATION
MODELS 4 OPTIMIZATION MODELS BASED ON SIZE 49 4.1 SIZE MATTERS 49 4.2 A
SIZE-BASED LIFE-HISTORY MODEL 51 4.2.1 THE GENERAL OPTIMIZATION PROBLEM
53 4.2.2 THE SPECIFIC OPTIMIZATION PROBLEM 54 4.3 AN OPTIMIZATION MODEL
THAT LEADS TO NON-SENESCENCE .. 57 4.3.1 THE STATE RATCHET 58 4.3.2 THE
MAXIMUM PRINCIPLE 59 4.3.3 AN ALTERNATIVE DERIVATION 63 4.3.4 THE
SIMPLEST MODEL LEADS TO SUSTENANCE 65 4.3.5 INTRODUCING NONLINEARITY CAN
LEAD TO ENHANCEMENT 67 4.4 AN OPTIMIZATION MODEL THAT LEADS TO
SENESCENCE 68 4.5 DISCUSSION. . 71 4.6 NEXT STEPS 73 5 AN OPTIMIZATION
MODEL BASED ON VITALITY 75 5.1 THE VITALITY MODEL 76 5.1.1 THE
PARAMETERS 81 5.2 THE VITALITY MODEL AS A CONTROL PROBLEM .. 83 5.2.1
PROBLEM FORMULATION 83 5.2.2 SOLUTION . . , .. * . 85 CONTENTS XVII
5.2.3 THE ROLE OF THE SECOND STATE VARIABLE 87 5.2.4 HAMILTON AND
REPRODUCTIVE VALUE - REVISITED .... 88 5.3 THE CONSTRAINED VITALITY
MODEL 90 5.3.1 EXPECTED SOLUTIONS 94 5.4 NUMERICAL RESULTS 98 5.4.1 THE
FIVE VARIETIES OF LIFE HISTORY STRATEGIES 98 5.4.2 WHEN SENESCENCE IS
OPTIMAL AND WHEN IT IS NOT . 108 5.5 DISCUSSION 116 5.5.1 SENESCENCE VS.
NON-SENESCENCE , 116 5.5.2 THE RJ PARAMETERS IN NATURE 117 5.5.3 THE
MORTALITY PARADOX 119 5.5.4 PLATEAUS 121 5.6 SUMMARY 121 6 DIRECTIONS
FOR RESEARCH . . 123 6.1 ORIENTATION 123 6.2 DIRECT EXTENSIONS OF MY
MODELS 123 6.2.1 LINKING BURDEN &: OPTIMIZATION 123 6.2.2 MEASURABLE
QUANTITIES AND TESTABLE HYPOTHESES . . 124 6.2.3 THE DIVERSITY OF AGING
125 6.2.4 THE CHARACTERISTICS OF SENESCENT VS. NON- SENESCENT SPECIES
125 6.2.5 ALTERNATIVE APPLICATIONS 127 6.3 OTHER MODELING EXTENSIONS 127
6.3.1 DENSITY EFFECTS 127 6.3.2 INTER GENERATIONAL TRANSFERS 128 6.3.3
ENVIRONMENTAL FLUCTUATIONS 129 6.3.4 POPULATION DYNAMICS 130 6.3.5
SUMMARY 130 6.4 PROSPECTS FOR EVOLUTIONARY DEMOGRAPHY 131 6.4.1 MOVING
BEYOND THE BURDEN OF DELETERIOUS FIXATIONS 131 6.4.2 THE NEED FOR
DATA, METHODS, AND MEASURES 133 6.4.3 A NEW BURNING QUESTION 135 6.5
CONCLUSION 138 A VITALITY MODEL - APPENDIX .141 A.I SOLVING DIFFERENTIAL
EQUATIONS 141 A.2 PROOF OF NON-EXISTENCE OF AN OPTIMAL SOLUTION FOR A
SPECIAL CASE 143 A.3 THE ALGORITHM 144 XVIII CONTENTS REFERENCES , 149
INDEX 167 PPN: 273289012 TITEL: INEVITABLE AGING? : CONTRIBUTIONS TO
EVOLUTIONARY-DEMOGRAPHIC THEORY / ANNETTE BAUDISCH. - . - BERLIN :
SPRINGER, 2008 ISBN: 978-3-540-76655-1GB.CA. EUR 80.20 (FREIER PR.), CA.
SFR 130.50 (FREIER PR.); 3-540-76655- 3GB.CA. EUR 80.20 (FREIER PR.),
CA. SFR 130.50 (FREIER PR.) BIBLIOGRAPHISCHER DATENSATZ IM SWB-VERBUND
|
adam_txt |
Annette Saudisch
inevitable Aging?
Aging is inevitable; this is gerontological dogma. And humans do
inevitably grow old, which is probably why it seems so unlikely to us
that other forms of life could escape aging. Escaping aging is not
escaping death. Death is an inherent part of life, and it can strike any
time. But the question is whether death necessarily becomes more
likely as life proceeds. And it does not. The theoretical results in this
monograph indicate that life provides alternative strategies. While
some organisms will deteriorate over adult ages, for others mortality
appears to
fali
or remain constant, at least over an extended period of
life after reproductive maturity. This is empirically observed espe¬
cially for species that keep on growing during adult ages. Perhaps the
diversity of aging matches the diversity of life. My thesis, the central
insight of this monograph, is: to deeply understand why some spe¬
cies age it is necessary to understand why other species do not.
The Springer series Demographic Research Monographs publishes refe-
reed monographs under the editorial supervision of the Max Planck
Institute for Demographic Research. The scope of the series spans
the entire field of demography, with a view to significantly advance
research. Volumes are compact with a clear focus. Key research top¬
ics include population aging as well as fertility and family dynam¬
ics, especially in Europe. The series also places special emphasis on
mathematical demography, historical demography, and biodemogra-
phy, including research with ties to epidemiology, genetics, evolution¬
ary biology, experimental demography and paleodemography. Each
volume has a link to research conducted at or supported by the Max
Planck Institute for Demographic Research.
CONTENTS FOREWORD VII 1 INTRODUCTION 1 1.1 SYNOPSIS 1 1.2 BACKGROUND 3
1.2.1 SENESCENCE - PARADOX? * INEVITABLE? 3 1.2.2 EVOLUTIONARY THEORIES
OF SENESCENCE 4 1.2.3 MEASURING SENESCENCE 5 1.2.4 MEASURING FITNESS 9
1.2.5 OPTIMAL LIFE HISTORY 10 1.2.6 INTERESTING RECENT DEVELOPMENTS 13
1.3 ORIENTATION 15 PART I HAMILTON 2 HAMILTON'S INDICATORS OF THE FORCE
OF SELECTION 19 2.1 INTRODUCTION 19 2.2 HAMILTON'S DERIVATIONS 20 2.2.1
THE FRAMEWORK 20 2.2.2 HAMILTON'S INDICATOR OF SURVIVAL 21 2.3
ALTERNATIVE INDICATORS 22 2.3.1 DIFFERENT PARAMETRIZATION , 22 2.3.2
WHEN SELECTION PRESSURE INCREASES 22 2.3.3 FERTILITY INDICATORS 23 2.3.4
ARE SOME INDICATORS BETTER? 24 2.3.5 OPTIMIZATION VS. MUTATIONAL BURDEN
26 2.4 MUTATION*SELECTION BALANCE . . 26 2.4.1 ADDITIVE VS. PROPORTIONAL
PARAMETRIZATION 27 XVI CONTENTS 2.4.2 A SIMPLE BOX MODEL 28 2.5 THE
IMPORTANCE OF MUTATION ACCUMULATION 32 2.6 CONCLUSION 33 3 FURTHER
CHALLENGES 35 3.1 GENERAL PROBLEM WITH ALL INDICATORS 35 3.2 THEORETICAL
ARGUMENTS 38 3.2.1 MUTATION-SELECTION BALANCE 38 3.2.2 UNRAVELING 38
3.2.3 VARIABLE ENVIRONMENTS 40 3.2.4 OTHER MECHANISMS 41 3.3 EMPIRICAL
EVIDENCE 41 3.3.1 TESTING PRECONDITIONS FOR MUTATION ACCUMULATION 41
3.3.2 CHECKING PREDICTIONS FROM MUTATION ACCUMULATION 42 3.3.3 EMPIRICAL
EVIDENCE FOR NON-SENESCENCE 44 3.4 CONCLUSION 45 PART II OPTIMIZATION
MODELS 4 OPTIMIZATION MODELS BASED ON SIZE 49 4.1 SIZE MATTERS 49 4.2 A
SIZE-BASED LIFE-HISTORY MODEL 51 4.2.1 THE GENERAL OPTIMIZATION PROBLEM
53 4.2.2 THE SPECIFIC OPTIMIZATION PROBLEM 54 4.3 AN OPTIMIZATION MODEL
THAT LEADS TO NON-SENESCENCE . 57 4.3.1 THE STATE RATCHET 58 4.3.2 THE
MAXIMUM PRINCIPLE 59 4.3.3 AN ALTERNATIVE DERIVATION 63 4.3.4 THE
SIMPLEST MODEL LEADS TO SUSTENANCE 65 4.3.5 INTRODUCING NONLINEARITY CAN
LEAD TO ENHANCEMENT 67 4.4 AN OPTIMIZATION MODEL THAT LEADS TO
SENESCENCE 68 4.5 DISCUSSION. . 71 4.6 NEXT STEPS 73 5 AN OPTIMIZATION
MODEL BASED ON VITALITY 75 5.1 THE VITALITY MODEL 76 5.1.1 THE
PARAMETERS 81 5.2 THE VITALITY MODEL AS A CONTROL PROBLEM . 83 5.2.1
PROBLEM FORMULATION 83 5.2.2 SOLUTION . . , . * . 85 CONTENTS XVII
5.2.3 THE ROLE OF THE SECOND STATE VARIABLE 87 5.2.4 HAMILTON AND
REPRODUCTIVE VALUE - REVISITED . 88 5.3 THE CONSTRAINED VITALITY
MODEL 90 5.3.1 EXPECTED SOLUTIONS 94 5.4 NUMERICAL RESULTS 98 5.4.1 THE
FIVE VARIETIES OF LIFE HISTORY STRATEGIES 98 5.4.2 WHEN SENESCENCE IS
OPTIMAL AND WHEN IT IS NOT . 108 5.5 DISCUSSION 116 5.5.1 SENESCENCE VS.
NON-SENESCENCE , 116 5.5.2 THE RJ PARAMETERS IN NATURE 117 5.5.3 THE
MORTALITY PARADOX 119 5.5.4 PLATEAUS 121 5.6 SUMMARY 121 6 DIRECTIONS
FOR RESEARCH . . 123 6.1 ORIENTATION 123 6.2 DIRECT EXTENSIONS OF MY
MODELS 123 6.2.1 LINKING BURDEN &: OPTIMIZATION 123 6.2.2 MEASURABLE
QUANTITIES AND TESTABLE HYPOTHESES . . 124 6.2.3 THE DIVERSITY OF AGING
125 6.2.4 THE CHARACTERISTICS OF SENESCENT VS. NON- SENESCENT SPECIES
125 6.2.5 ALTERNATIVE APPLICATIONS 127 6.3 OTHER MODELING EXTENSIONS 127
6.3.1 DENSITY EFFECTS 127 6.3.2 INTER GENERATIONAL TRANSFERS 128 6.3.3
ENVIRONMENTAL FLUCTUATIONS 129 6.3.4 POPULATION DYNAMICS 130 6.3.5
SUMMARY 130 6.4 PROSPECTS FOR EVOLUTIONARY DEMOGRAPHY 131 6.4.1 MOVING
BEYOND THE BURDEN OF "DELETERIOUS FIXATIONS" 131 6.4.2 THE NEED FOR
DATA, METHODS, AND MEASURES 133 6.4.3 A NEW BURNING QUESTION 135 6.5
CONCLUSION 138 A VITALITY MODEL - APPENDIX .141 A.I SOLVING DIFFERENTIAL
EQUATIONS 141 A.2 PROOF OF NON-EXISTENCE OF AN OPTIMAL SOLUTION FOR A
SPECIAL CASE 143 A.3 THE ALGORITHM 144 XVIII CONTENTS REFERENCES , 149
INDEX 167 PPN: 273289012 TITEL: INEVITABLE AGING? : CONTRIBUTIONS TO
EVOLUTIONARY-DEMOGRAPHIC THEORY / ANNETTE BAUDISCH. - . - BERLIN :
SPRINGER, 2008 ISBN: 978-3-540-76655-1GB.CA. EUR 80.20 (FREIER PR.), CA.
SFR 130.50 (FREIER PR.); 3-540-76655- 3GB.CA. EUR 80.20 (FREIER PR.),
CA. SFR 130.50 (FREIER PR.) BIBLIOGRAPHISCHER DATENSATZ IM SWB-VERBUND |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Baudisch, Annette 1976- |
author_GND | (DE-588)1146977824 |
author_facet | Baudisch, Annette 1976- |
author_role | aut |
author_sort | Baudisch, Annette 1976- |
author_variant | a b ab |
building | Verbundindex |
bvnumber | BV023116460 |
classification_rvk | QU 000 |
ctrlnum | (OCoLC)230166282 (DE-599)DNB985928166 |
dewey-full | 305.26 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 305 - Groups of people |
dewey-raw | 305.26 |
dewey-search | 305.26 |
dewey-sort | 3305.26 |
dewey-tens | 300 - Social sciences |
discipline | Soziologie Wirtschaftswissenschaften |
discipline_str_mv | Soziologie Wirtschaftswissenschaften |
format | Thesis Book |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV023116460 |
illustrated | Illustrated |
index_date | 2024-07-02T19:50:12Z |
indexdate | 2024-07-09T21:11:24Z |
institution | BVB |
isbn | 9783540766551 3540766553 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016318979 |
oclc_num | 230166282 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-12 DE-29 |
owner_facet | DE-355 DE-BY-UBR DE-12 DE-29 |
physical | XX, 170 S. zahlr. graph. Darst. 235 mm x 155 mm |
publishDate | 2008 |
publishDateSearch | 2008 |
publishDateSort | 2008 |
publisher | Springer |
record_format | marc |
series2 | Demographic research monographs |
spelling | Baudisch, Annette 1976- Verfasser (DE-588)1146977824 aut Inevitable aging? contributions to evolutionary-demographic theory Annette Baudisch Berlin [u.a.] Springer 2008 XX, 170 S. zahlr. graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Demographic research monographs Teilw. zugl.: Rostock, Univ., Diss., 2006 Evolutionstheorie (DE-588)4071051-8 gnd rswk-swf Sterblichkeit (DE-588)4057312-6 gnd rswk-swf Altern (DE-588)4068596-2 gnd rswk-swf Demographie (DE-588)4011412-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Altern (DE-588)4068596-2 s Sterblichkeit (DE-588)4057312-6 s Evolutionstheorie (DE-588)4071051-8 s Demographie (DE-588)4011412-0 s DE-604 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016318979&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Klappentext SWBplus Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016318979&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Baudisch, Annette 1976- Inevitable aging? contributions to evolutionary-demographic theory Evolutionstheorie (DE-588)4071051-8 gnd Sterblichkeit (DE-588)4057312-6 gnd Altern (DE-588)4068596-2 gnd Demographie (DE-588)4011412-0 gnd |
subject_GND | (DE-588)4071051-8 (DE-588)4057312-6 (DE-588)4068596-2 (DE-588)4011412-0 (DE-588)4113937-9 |
title | Inevitable aging? contributions to evolutionary-demographic theory |
title_auth | Inevitable aging? contributions to evolutionary-demographic theory |
title_exact_search | Inevitable aging? contributions to evolutionary-demographic theory |
title_exact_search_txtP | Inevitable aging? contributions to evolutionary-demographic theory |
title_full | Inevitable aging? contributions to evolutionary-demographic theory Annette Baudisch |
title_fullStr | Inevitable aging? contributions to evolutionary-demographic theory Annette Baudisch |
title_full_unstemmed | Inevitable aging? contributions to evolutionary-demographic theory Annette Baudisch |
title_short | Inevitable aging? |
title_sort | inevitable aging contributions to evolutionary demographic theory |
title_sub | contributions to evolutionary-demographic theory |
topic | Evolutionstheorie (DE-588)4071051-8 gnd Sterblichkeit (DE-588)4057312-6 gnd Altern (DE-588)4068596-2 gnd Demographie (DE-588)4011412-0 gnd |
topic_facet | Evolutionstheorie Sterblichkeit Altern Demographie Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016318979&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016318979&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT baudischannette inevitableagingcontributionstoevolutionarydemographictheory |