Isbn: 9780691180496 - modeling populations of adaptive individuals: 63 (monographs in population biology, 63) (18 resultados)

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  • Idioma: Inglés

    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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  • Idioma: Inglés

    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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  • Idioma: Inglés

    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Condición: New. 2020. Hardcover. . . . . .

  • Idioma: Inglés

    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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  • Idioma: Inglés

    Editorial: Princeton University Press, US, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Hardback. Condición: New. Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible.Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good-not optimal-decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.

  • Idioma: Inglés

    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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  • Idioma: Inglés

    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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  • Idioma: Inglés

    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Condición: New. In English.

  • Idioma: Inglés

    Editorial: Princeton University Press, US, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Hardback. Condición: New. Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible.Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good-not optimal-decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.

  • Idioma: Inglés

    Editorial: Princeton Univ Pr, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Hardcover. Condición: Brand New. 216 pages. 9.50x6.25x0.75 inches. In Stock.

  • Idioma: Inglés

    Editorial: Princeton Univ Pr, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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  • Idioma: Inglés

    Editorial: Princeton University Press, 2020

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    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Einband - fest (Hardcover). Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

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    Editorial: Princeton University Press, 2020

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    Buch. Condición: Neu. Modeling Populations of Adaptive Individuals | Bret C. Harvey (u. a.) | Buch | Englisch | 2020 | Princeton University Press | EAN 9780691180496 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Idioma: Inglés

    Editorial: Princeton University Press, New Jersey, 2020

    0691180490 / 9780691180496

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    Hardcover. Condición: new. Hardcover. Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible.Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good-not optimal-decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios. Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of be This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Idioma: Inglés

    Editorial: Princeton University Press, 2020

    0691180490 / 9780691180496

    Serie: Libro 60 de 64 - Monographs in Population Biology

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    Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible.Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good-not optimal-decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.