Fitness Landscapes and the Origin of Species (MPB-41):
The origin of species has fascinated both biologists and the general public since the publication of Darwin's Origin of Species in 1859. Significant progress in understanding the process was achieved in the "modern synthesis," when Theodosius Dobzhansky, Ernst Mayr, and others reconci...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Princeton, NJ
Princeton University Press
[2004]
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| Series: | Monographs in Population Biology
41 |
| Subjects: | |
| Online Access: | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-739 URL des Erstveröffentlichers |
| Summary: | The origin of species has fascinated both biologists and the general public since the publication of Darwin's Origin of Species in 1859. Significant progress in understanding the process was achieved in the "modern synthesis," when Theodosius Dobzhansky, Ernst Mayr, and others reconciled Mendelian genetics with Darwin's natural selection. Although evolutionary biologists have developed significant new theory and data about speciation in the years since the modern synthesis, this book represents the first systematic attempt to summarize and generalize what mathematical models tell us about the dynamics of speciation. Fitness Landscapes and the Origin of Species presents both an overview of the forty years of previous theoretical research and the author's new results. Sergey Gavrilets uses a unified framework based on the notion of fitness landscapes introduced by Sewall Wright in 1932, generalizing this notion to explore the consequences of the huge dimensionality of fitness landscapes that correspond to biological systems. In contrast to previous theoretical work, which was based largely on numerical simulations, Gavrilets develops simple mathematical models that allow for analytical investigation and clear interpretation in biological terms. Covering controversial topics, including sympatric speciation and the effects of sexual conflict on speciation, this book builds for the first time a general, quantitative theory for the origin of species |
| Item Description: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9780691187051 |
| DOI: | 10.1515/9780691187051 |
Staff View
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| 520 | |a The origin of species has fascinated both biologists and the general public since the publication of Darwin's Origin of Species in 1859. Significant progress in understanding the process was achieved in the "modern synthesis," when Theodosius Dobzhansky, Ernst Mayr, and others reconciled Mendelian genetics with Darwin's natural selection. Although evolutionary biologists have developed significant new theory and data about speciation in the years since the modern synthesis, this book represents the first systematic attempt to summarize and generalize what mathematical models tell us about the dynamics of speciation. Fitness Landscapes and the Origin of Species presents both an overview of the forty years of previous theoretical research and the author's new results. Sergey Gavrilets uses a unified framework based on the notion of fitness landscapes introduced by Sewall Wright in 1932, generalizing this notion to explore the consequences of the huge dimensionality of fitness landscapes that correspond to biological systems. In contrast to previous theoretical work, which was based largely on numerical simulations, Gavrilets develops simple mathematical models that allow for analytical investigation and clear interpretation in biological terms. Covering controversial topics, including sympatric speciation and the effects of sexual conflict on speciation, this book builds for the first time a general, quantitative theory for the origin of species | ||
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Record in the Search Index
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| author | Gavrilec, Sergej Ju |
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| dewey-full | 576.8/6 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 576 - Genetics and evolution |
| dewey-raw | 576.8/6 |
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| dewey-tens | 570 - Biology |
| discipline | Biologie |
| discipline_str_mv | Biologie |
| doi_str_mv | 10.1515/9780691187051 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:54:14Z |
| indexdate | 2025-02-19T17:32:20Z |
| institution | BVB |
| isbn | 9780691187051 |
| language | English |
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| publishDate | 2004 |
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| publisher | Princeton University Press |
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| series2 | Monographs in Population Biology |
| spelling | Gavrilec, Sergej Ju. Verfasser (DE-588)1053419902 aut Fitness Landscapes and the Origin of Species (MPB-41) Sergey Gavrilets Princeton, NJ Princeton University Press [2004] © 2004 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Monographs in Population Biology 41 Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) The origin of species has fascinated both biologists and the general public since the publication of Darwin's Origin of Species in 1859. Significant progress in understanding the process was achieved in the "modern synthesis," when Theodosius Dobzhansky, Ernst Mayr, and others reconciled Mendelian genetics with Darwin's natural selection. Although evolutionary biologists have developed significant new theory and data about speciation in the years since the modern synthesis, this book represents the first systematic attempt to summarize and generalize what mathematical models tell us about the dynamics of speciation. Fitness Landscapes and the Origin of Species presents both an overview of the forty years of previous theoretical research and the author's new results. Sergey Gavrilets uses a unified framework based on the notion of fitness landscapes introduced by Sewall Wright in 1932, generalizing this notion to explore the consequences of the huge dimensionality of fitness landscapes that correspond to biological systems. In contrast to previous theoretical work, which was based largely on numerical simulations, Gavrilets develops simple mathematical models that allow for analytical investigation and clear interpretation in biological terms. Covering controversial topics, including sympatric speciation and the effects of sexual conflict on speciation, this book builds for the first time a general, quantitative theory for the origin of species In English SCIENCE / Life Sciences / Evolution bisacsh Evolution (Biology) Mathematical models Evolution (Biology) Population biology Population genetics Mathematical models Population genetics Species diversity Species Mathematical models Species https://doi.org/10.1515/9780691187051?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Gavrilec, Sergej Ju Fitness Landscapes and the Origin of Species (MPB-41) SCIENCE / Life Sciences / Evolution bisacsh Evolution (Biology) Mathematical models Evolution (Biology) Population biology Population genetics Mathematical models Population genetics Species diversity Species Mathematical models Species |
| title | Fitness Landscapes and the Origin of Species (MPB-41) |
| title_auth | Fitness Landscapes and the Origin of Species (MPB-41) |
| title_exact_search | Fitness Landscapes and the Origin of Species (MPB-41) |
| title_exact_search_txtP | Fitness Landscapes and the Origin of Species (MPB-41) |
| title_full | Fitness Landscapes and the Origin of Species (MPB-41) Sergey Gavrilets |
| title_fullStr | Fitness Landscapes and the Origin of Species (MPB-41) Sergey Gavrilets |
| title_full_unstemmed | Fitness Landscapes and the Origin of Species (MPB-41) Sergey Gavrilets |
| title_short | Fitness Landscapes and the Origin of Species (MPB-41) |
| title_sort | fitness landscapes and the origin of species mpb 41 |
| topic | SCIENCE / Life Sciences / Evolution bisacsh Evolution (Biology) Mathematical models Evolution (Biology) Population biology Population genetics Mathematical models Population genetics Species diversity Species Mathematical models Species |
| topic_facet | SCIENCE / Life Sciences / Evolution Evolution (Biology) Mathematical models Evolution (Biology) Population biology Population genetics Mathematical models Population genetics Species diversity Species Mathematical models Species |
| url | https://doi.org/10.1515/9780691187051?locatt=mode:legacy |
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