Modelling In Behavioural Ecology


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Modelling in Behavioural Ecology


Modelling in Behavioural Ecology

Author: Dennis Lendrem

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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In the early years of this century a Scottish doctor speculated on the evolutionary origin of human tears. It seemed to him that with the increase in brain size and cognitive powers of our early ancestors many events in the struggle for existence would be just too distressing to observe. How comforting then, for the mother, distraught by the sight of her child being devoured by a lion, to cloud her vision with a flood of tears! Just so, though if the good doctor had pondered further, the following picture might have occurred to him, comfortable in his speculative armchair, and given him some pause for thought. ~ ~. e , ~ ~ ~' I " . . ~. . - . . . . . ~ VII viii SERIES EDITOR'S FOREWORD These stories do not, of course, get us very far in explaining the evolution of tears or anything else, but they do remind us how far the study of beha vioural adaptation has come this century. This is, in fact, an exciting time for students of behaviour. The last twenty years have seen a great advance in the theoretical armoury for tackling problems of behavioural evolution and adaptation, and a parallel expansion in empirical studies, particularly in the field. The concepts of inclusive fitness and evolutionary stability, for example, have helped to explain major features of social behaviour and have generated entirely new questions and predictions for the field worker to examine.

Dynamic Modeling in Behavioral Ecology


Dynamic Modeling in Behavioral Ecology

Author: Marc Mangel

language: en

Publisher: Princeton University Press

Release Date: 1988


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This book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and in their own current physiological state. Models can be constructed to reflect sequential decisions concerned simultaneously with foraging, reproduction, predator avoidance, and other activities. The authors show how to construct and use dynamic behavioral models. Part I covers the mathematical background and computer programming, and then uses a paradigm of foraging under risk of predation to exemplify the general modeling technique. Part II consists of five "applied" chapters illustrating the scope of the dynamic modeling approach. They treat hunting behavior in lions, reproduction in insects, migrations of aquatic organisms, clutch size and parental care in birds, and movement of spiders and raptors. Advanced topics, including the study of dynamic evolutionarily stable strategies, are discussed in Part III.

Dynamic Modeling in Behavioral Ecology


Dynamic Modeling in Behavioral Ecology

Author: Marc Mangel

language: en

Publisher: Princeton University Press

Release Date: 2019-12-31


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This book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and in their own current physiological state. Models can be constructed to reflect sequential decisions concerned simultaneously with foraging, reproduction, predator avoidance, and other activities. The authors show how to construct and use dynamic behavioral models. Part I covers the mathematical background and computer programming, and then uses a paradigm of foraging under risk of predation to exemplify the general modeling technique. Part II consists of five "applied" chapters illustrating the scope of the dynamic modeling approach. They treat hunting behavior in lions, reproduction in insects, migrations of aquatic organisms, clutch size and parental care in birds, and movement of spiders and raptors. Advanced topics, including the study of dynamic evolutionarily stable strategies, are discussed in Part III.