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E-raamat: Spatial Ecology

Edited by (The University of Miami, Coral Gables, Florida, USA), Edited by (The University of Miami, Coral Gables, Florida, USA), Edited by (The University of Miami, Coral Gables, Florida, USA)
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Exploring the relationship between mathematics and ecology, Spatial Ecology focuses on some important emerging challenges in the field. These challenges consist of understanding the impact of space on community structure, incorporating the scale and structure of landscapes into mathematical models, and developing connections between spatial ecology and evolutionary theory, epidemiology, and economics.

The book begins with essays on how spatial effects influence the dynamics of populations and the structure of communities. It then discusses how spatial scale and structure and dispersal behavior connect to phenomena in population dynamics, evolution, epidemiology, and economics. Subsequent chapters focus on the interplay of ecology with evolution, epidemiology, and economics. The chapters on ecology and evolutionary theory provide a guided tour through a number of scenarios and modeling approaches that represent active areas of current research and suggest some paths toward conceptual unification. The book then illustrates how problems in epidemiology and ecology can be profitably addressed by similar modeling regimes. It concludes with essays that describe how ideas from economics, ecology, and quality control theory may be combined to address issues in natural resource management.

With contributions from some of the best in the field, this volume promotes the advancement of ecology as a truly quantitative science, particularly as it touches on the role of space. The book will inspire readers to open up new areas of research in the mathematical theory of spatial ecology and its connections with evolutionary theory, epidemiology, and economics.
Preface xiii
List of Contributors
xix
Competition dynamics in a seasonally varying wetland
1(14)
Don L. DeAngelis
Joel C. Trexler
Douglas D. Donalson
Introduction
1(3)
Model
4(2)
Results
6(1)
Discussion
6(3)
Appendix
9(3)
References
12(3)
Spatial dynamics of multitrophic communities
15(18)
Priyanga Amarasekare
Introduction
15(2)
Theoretical framework
17(1)
Results
18(6)
Intraguild predation
18(1)
Keystone predation
19(5)
Discussion and conclusions
24(2)
Acknowledgments
26(1)
Spatial models
26(4)
Intraguild predation
26(2)
Keystone predation
28(2)
References
30(3)
Bistability Dynamics in Structured Ecological Models
33(30)
Jifa Jiang
Junping Shi
Non-structured models
34(6)
Diffusion induced bistability and hysteresis
40(7)
Threshold manifold
47(8)
Concluding Remarks
55(1)
Acknowledgments
55(1)
References
56(7)
Modeling animal movement with diffusion
63(22)
Otso Ovaskainen
Elizabeth E. Crone
Introduction
63(2)
Advection-diffusion in heterogeneous environments
65(7)
Edge behavior and habitat selection
68(1)
Responses to linear landscape features
69(2)
Structural corridors (α = -1)
71(1)
Structural barriers (α = 1)
71(1)
Application: Wolf movement in a mountainous landscape
72(6)
Applications of diffusion models
78(1)
Predictions from diffusion models
78(1)
Data analysis with diffusion models
79(1)
Conclusions
79(1)
Acknowledgments
80(1)
References
80(5)
Riverine landscapes: Ecology for an alternative geometry
85(16)
William F. Fagan
Evan H. Campbell Grant
Heather J. Lynch
Peter J. Unmack
Spatial ccology
85(2)
Dendritic landscapes
87(2)
Colonization and extinction
89(1)
Metapopulation model
89(5)
Extinction in fishes
94(3)
Conclusion
97(1)
Acknowledgments
98(1)
References
98(3)
Biological modeling with quiescent phases
101(28)
Karl P. Hadeler
Thomas Hillen
Mark A. Lewis
Introduction
101(1)
Diffusive coupling and quiescence
102(2)
Stationary states and stability
104(2)
Periodic orbits
106(1)
Rates depending on density
107(2)
Slow dynamics
109(1)
Delay equations
110(2)
Spread in space
112(4)
Reaction-diffusion equations
112(2)
Reaction-transport equations
114(2)
Applications
116(8)
The river drift paradox
116(1)
Spread of genetically engineered microbes
117(3)
Tumor growth: The linear-quadratic model
120(1)
Infectious diseases
121(1)
Contact distributions versus migrating infective
122(2)
Discussion
124(1)
Acknowledgments
125(1)
References
125(4)
Spatial scale and population dynamics in advective media
129(16)
Roger M. Nisbet
Kurt E. Anderson
Edward McCauley
Ulrike Feudel
Introduction
129(1)
Models
130(2)
Population persistence and the drift paradox
132(3)
Response to abiotic forcing
135(3)
Directions for future research
138(2)
Acknowledgments
140(1)
References
141(4)
Using multivariate state-space models to study spatial structure and dynamics
145(22)
Richard A. Hinrichsen
Elizabeth E. Holmes
Introduction
145(2)
Multivariate state-space models
147(2)
Population structure
149(2)
Structure of the population growth rates (ƒB)
150(1)
Structure of the process-error variances (ƒQ)
150(1)
Structure of the measurement errors (ƒR)
151(1)
Parameter estimation
151(3)
The likelihood function
151(1)
Estimation of Xt/t-1 and Pt/t-1 using the Kalman filter
152(1)
Maximization of the likelihood function
153(1)
Model selection
154(1)
Snake River chinook
155(7)
Kalman smoother
156(2)
Structure in the salmon data
158(1)
Confidence intervals
159(1)
Results
159(3)
Discussion
162(2)
References
164(3)
Incorporating the spatial configuration of the habitat into ecology and evolutionary biology
167(22)
Ilkka Hanski
Introduction
167(2)
Modeling migration in fragmented landscapes
169(2)
Metapopulation dynamics
171(4)
Metacommunity dynamics of competing species
175(3)
Genetic and evolutionary dynamics
178(4)
Conclusion
182(1)
References
182(7)
Metapopulation perspectives on the evolution of species' niches
189(24)
Robert D. Holt
Michael Barfield
Introduction
189(2)
Models for adaptive colonization into sink habitats
191(9)
An island-mainland model with infrequent adaptive colonization
200(1)
Gene flow and population extinction
201(2)
A metapopulation model with maladaptive gene flow
203(3)
Discussion
206(4)
Acknowledgments
210(1)
References
210(3)
Evolution of dispersal in heterogeneous landscapes
213(18)
Robert Stephen Cantrell
Chris Cosner
Yuan Lou
Introduction
213(3)
Random dispersal: Evolution of slow dispersal
216(2)
Random dispersal vs. conditional dispersal
218(2)
Evolution of conditional dispersal
220(1)
Dispersal and the ideal free distribution
221(3)
Dispersal in temporally varying environments
224(1)
Future directions
225(2)
Acknowledgments
227(1)
References
227(4)
Evolution of dispersal scale and shape in heterogeneous environments: A correlation equation approach
231(20)
Benjamin M. Bolker
Introduction
231(2)
Methods
233(4)
Competition model
233(1)
Dispersal curves
234(1)
Environmental heterogeneity
234(1)
Analysis
235(2)
Results
237(7)
Dispersal scale in homogeneous landscapes
237(2)
Dispersal shape in homogeneous environments
239(1)
Dispersal scale in heterogeneous environments
240(3)
Dispersal shape in heterogeneous environments
243(1)
Discussion and conclusions
244(3)
Acknowledgments
247(1)
References
247(4)
Spatiotemporal dynamics of measles: Synchrony and persistence in a disease metapopulation
251(22)
Alun L. Lloyd
Lisa Sattenspiel
Introduction
251(2)
Data sources
253(2)
Local dynamics: Periodicity and endemic fadeout
255(4)
Regional persistence and spatial synchrony
259(1)
Spatial synchrony among large population centers
259(6)
Reinvasion waves and phase relationships
265(2)
Discussion
267(2)
References
269(4)
Rules of thumb for the control of vector-borne diseases in a spatial environment
273(20)
Matthew D. Potts
Tristan Kimbrell
Introduction
274(2)
Model specification
276(4)
Results
280(6)
Discussion
286(2)
Conclusion
288(1)
Acknowledgments
289(1)
References
289(4)
Modeling spatial spread of communicable diseases involving animal hosts
293(24)
Shigui Ruan
Jianhong Wu
Introduction
293(2)
Rabies
295(3)
Dengue
298(2)
West Nile virus
300(2)
Hantavirus
302(3)
Lyme disease
305(3)
Feline immunodeficiency virus (FIV)
308(2)
Summary
310(1)
Acknowledgments
311(1)
References
311(6)
Economically optimal management of a metapopulation
317(16)
James N. Sanchirico
James E. Wilen
Spatial ecology
317(3)
Optimization
320(3)
Optimal spatial dynamics
323(3)
Cost of ignoring spatial processes
326(3)
Conclusion
329(1)
Acknowledgments
330(1)
References
330(3)
Models of harvesting
333(10)
Donald B. Olson
Introduction
333(2)
Basic model formulation
335(3)
Explicit examples
338(2)
Conclusions
340(1)
Acknowledgments
341(1)
References
341(2)
Spatial optimal control of renewable resource stocks
343(16)
Guillermo E. Herrera
Suzanne Lenhart
Introduction
343(1)
ODE models with spatial components
344(2)
PDE models
346(8)
Techniques for optimal control of PDEs
348(2)
Illustrative PDE example
350(4)
Conclusions
354(1)
Acknowledgments
355(1)
References
355(4)
Index 359
Robert Stephen Cantrell, Chris Cosner, and Shigui Ruan are all professors in the Department of Mathematics at the University of Miami, Coral Gables, Florida.