Mechanistic Home Range Analysis. (MPB-43)

Spatial patterns of movement are fundamental to the ecology of animal populations, influencing their social organization, mating systems, demography, and the spatial distribution of prey and competitors. However, our ability to understand the causes and consequences of animal home range patterns has...

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Moorcroft, Paul R.
Other Authors: Lewis, Mark A.
Format: eBook
Language:English
Published: Princeton : Princeton University Press, 2013.
Series:Monographs in population biology.
Subjects:

MARC

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505 0 |a Cover; Title; Copyright; Contents; Preface; 1. Introduction; 1.1. Statistical Home Range Analysis; 1.2. Mechanistic Home Range Analysis; 2. From Individual Behavior to Patterns of Space Use; 2.1. Movement in One Dimension; 2.2. Movement in Two Dimensions; 2.3. Directed and Random Motion; 2.4. Predicting Home Range Patterns; 2.5. Summary; 3. A Simple Mechanistic Home Range Model; 3.1. Model of Individual Movement Behavior; 3.2. Characterizing the Movement Behavior of a Red Fox; 3.3. Equations for Patterns of Space Use; 3.4. Solving for Patterns of Space Use; 3.5. Predicted Red Fox Home Range. 
505 8 |a 3.6. Coyote Home Range Patterns3.7. Summary; 4. A Model Based on Conspecific Avoidance; 4.1. Model Formulation; 4.2. Equations for Space Use; 4.3. Empirical Evaluation of the Model; 4.4. Summary; 5. Comparative Analysis of Home Range Patterns Predicted by the Conspecific Avoidance Model; 5.1. Predicted Patterns of Space Use; 5.2. Border versus Hinterland Scent Marking; 5.3. The Distribution of Scent Marks along Boundaries; 5.4. Summary; 6. Mathematical Analysis of the Conspecific Avoidance Model; 6.1. Model Equations; 6.2. Impact of the Scent-Marking Response; 6.3. Existence of a Buffer Zone. 
505 8 |a 6.4. Generalized Response Functions6.5. Summary; 7. The Influence of Landscape and Resource Heterogeneity on Patterns of Space Use; 7.1. Landscape Heterogeneity; 7.2. Resource Heterogeneity and Foraging Behavior; 7.3. Model Predictions; 7.4. Summary; 8. Home Range Formation in the Absence of a Den Site; 8.1. Model Formulation; 8.2. Analysis; 8.3. Summary; 9. Secondary Ecological Interactions; 9.1. Wolf-Deer Interactions; 9.2. Wolf-Coyote Interactions; 9.3. Summary; 10. Displacement Distances: Theory and Applications; 10.1. The Minimum Convex Polygon Method. 
505 8 |a 10.2. Mean-Absolute and Mean-Squared Displacement10.3. Summary; 11. ESS Analysis of Movement Strategies: Analyzing the Functional Significance of Home Range Patterns; 11.1. Evolutionarily Stable Movement Strategy for Interacting Wolf Packs; 11.2. Analysis; 11.3. Roles of Aggression and Signaling; 11.4. Summary; 12. Future Directions and Synthesis; Appendixes; A Derivation of the Fokker-Planck Equation for Space Use; B Alternative Derivation of the Space Use Equation; C Autocorrelation in Movement Direction; D Estimating the Parameters of the Localizing Tendency Model. 
505 8 |a E Movement with Attraction toward a DenF Model Fitting; G Numerical Methods for Solving Space Use Equations; H Displacement Distances; I ESS Analysis Model Parameters; References; Index. 
520 |a Spatial patterns of movement are fundamental to the ecology of animal populations, influencing their social organization, mating systems, demography, and the spatial distribution of prey and competitors. However, our ability to understand the causes and consequences of animal home range patterns has been limited by the descriptive nature of the statistical models used to analyze them. In Mechanistic Home Range Analysis, Paul Moorcroft and Mark Lewis develop a radically new framework for studying animal home range patterns based on the analysis of correlated random work models for ind. 
588 0 |a Print version record. 
650 0 |a Animal behavior  |x Mathematical models. 
650 0 |a Home range (Animal geography)  |x Mathematical models. 
650 0 |a Zoogeography  |x Mathematical models. 
650 7 |a Animal behavior  |x Mathematical models.  |2 fast  |0 (OCoLC)fst00809089. 
700 1 |a Lewis, Mark A. 
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