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Modeling populations of adaptive individuals /

"This book offers a new theory for modeling how organisms make tradeoff decisions and how these decisions affect both individuals and populations. Tradeoff decisions (or behaviors) are those that are optimize survival and include behaviors like foraging and reproduction. Existing theories have...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Railsback, Steven F. (Steven Floyd), 1957- (Autor), Harvey, Bret C., 1958- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton : Princeton University Press, [2020]
Colección:Monographs in population biology ; 63
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Railsback, Steven F.  |q (Steven Floyd),  |d 1957-  |e author. 
245 1 0 |a Modeling populations of adaptive individuals /  |c Steven F. Railsback, Bret C. Harvey. 
264 1 |a Princeton :  |b Princeton University Press,  |c [2020] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Monographs in population biology ;  |v 63 
504 |a Includes bibliographical references and index. 
520 |a "This book offers a new theory for modeling how organisms make tradeoff decisions and how these decisions affect both individuals and populations. Tradeoff decisions (or behaviors) are those that are optimize survival and include behaviors like foraging and reproduction. Existing theories have not painted a complete picture of tradeoff decisions because they only observe how the decisions of an individual affect them rather than how individuals impact, and are impacted by, the behavior of their communities. The authors' theory-which they call state and prediction based theory-uses individual-based models since these models show the complex ways that organisms relate to their environment. The authors' broader approach, one that integrates behavior and population dynamics, allows ecologists to see how individuals make adaptive tradeoff decisions. In simpler terms, this theory does not assume, as the previous models do, that future conditions are fixed, known, and unaffected by the behavior of others. Instead, the authors assume individuals make decisions like people do, which is by forecasting future conditions, using approximation to make good decisions, and updating their choices as conditions change"--  |c Provided by publisher. 
588 |a Description based on online resource; title from digital title page (viewed on June 08, 2020). 
505 0 0 |t Frontmatter --  |t Contents --  |t Preface --  |t Acknowledgments --  |t 1. Adaptive Individuals and Population Ecology --  |t 2. Case Study: Modeling Trout Population Response to River Management --  |t 3. Introduction to State- and Prediction- Based Theory --  |t 4. A First Example: Forager Patch Selection --  |t 5. A Second Example: Vertical Migration and Reproductive Effort in Daphnia --  |t 6. Example Three: Temporal Patterns in Limpet Foraging --  |t 7. Example Four: Facultative Anadromy in Salmonid Fishes --  |t 8. Guidance for Using State- and Prediction- Based Theory --  |t 9. Testing and Refining State- and Prediction- Based Theory --  |t 10. Building Model Credibility --  |t 11. Empirical Research on Populations of Adaptive Individuals --  |t 12. Conclusions and Outlook --  |t References --  |t Index --  |t MONOGRAPHS IN POPULATION BIOLOGY 
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650 0 |a Population biology  |x Mathematical models. 
650 0 |a Ecology. 
650 0 |a Adaptation (Biology) 
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650 6 |a Adaptation (Biologie) 
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700 1 |a Harvey, Bret C.,  |d 1958-  |e author. 
776 0 8 |i Print version:  |a Railsback, Steven F. (Steven Floyd), 1957-  |t Modeling populations of adaptive individuals.  |d Princeton : Princeton University Press, [2020]  |z 9780691180496  |w (DLC) 2019023767 
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