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Index
active edge, 14, 154adaptation, 20
research program, 10adaptive dynamics, 21adaptive landscape, 109, 113
compound, 226flexible, 13rigid, 266
adaptive radiation, 260Lotka–Volterra example, 262predator–prey example, 266
adaptive speciation, 210advertising game, 11allometry, 98allopatric speciation, 251
Lotka–Volterra example, 258altruism, 14, 86anisogamy, 234archetype, 232, 237assortative mating, 129, 231, 252asymmetric matrix game, 66asymptotic stability
Leslie predator–prey continuous example,56
Leslie predator–prey discrete example, 54local, 58logistic equation example, 51
ball, 162bang-bang solution, 325battle of sexes, 66bauplan, 2, 22, 81
multistage, 106two or more, 99unique, 92, 93, 96, 103
Bergmann’s rule, 97, 141, 173, 212
bi-linear game, 69, 279bully function, 95
carrying capacity, 43chaotic attractor, 60chaotic motion, 60characteristics
that define a species, 232clump of strategies
distribution becomes bimodal, 249following a mean, 247
clumped strategies, 243clumping
of individuals, 231co-adaptation, 21coalition, 127coalition vector, 164
non-equilibrium, 191co-evolutionary stable strategy, 159competition coefficient, 43competitive speciation, 159, 252compound
adaptive landscape, 226fitness example, 189fitness function, 189fitness generating function, 225
consumer-resource models, 46continuous games, 70continuous strategy, 68convergent
stability, 148, 158stable, 152stable point, 165
converting density to frequency, 80corollary
sufficient condition for a matrix-ESS, 282
377
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Cambridge University Press0521841704 - Evolutionary Game Theory, Natural Selection, and Darwinian DynamicsThomas L. Vincent and Joel S. BrownIndexMore information
378 Index
critical value, 108, 185gradient of, 144of the G-matrix, 222of H, 109
Darwin’s postulates, 5Darwinian dynamics, 22, 27, 112definitions
coalition vector – frequency, 181coalition vector – multistage, 186coalition vector for the scalar bauplan, 164critical value, 109dominant eigenvalue, 108ecological equilibrium, 162ecological equilibrium – multistage, 183ecological equilibrium for the resource
bauplan, 171ecologically stable equilibrium for the
resource bauplan, 171ESC, 189ESE – frequency, 180ESE – multiple, 175ESE for the scalar bauplan, 162ESS – frequency, 181ESS – multistage, 186ESS for the scalar bauplan, 164fitness for multistage G-functions, 109fitness generating function, 62, 77fitness matrix, 108G-function, 77G-function for multistage systems, 109G-function in terms of population
frequency, 105G-function with resources, 97G-function with scalar strategies, 93G-function with vector strategies, 94G-matrix, 109matrix ecological equilibrium, 280matrix ecologically stable equilibrium,
280matrix-ESS, 281multiple G-functions, 102single-mutant-ESS, 283species, 242
density-dependent selection, 79, 116difference equations, 34
solution by iteration, 35differential equations
solution by integration, 37differential games, 334domain of attraction, 52, 163dominant eigenvalue, 108
ecological cycle, 188, 225equilibrium requirement, 190
ecological equilibrium, 162multiple, 174
ecological theater, 15, 75, 304ecologically enlightened manager, 354ecologically keystone, 264ecologically stable, 152
cycle (ESC), 189, 225equilibrium (see also ESE), 162
eigenvaluedominant, 108
epistasis, 86equilibrium point, 50, 162
asymptotically stable, 51, 58globally asymptotically stable, 51stable, 50, 51, 58unstable, 58
ESC, 189ESE, 162, 163
global, 163, 175local, 163, 175multiple, 175
ESS, 18, 21, 22, 151, 164candidate, 197global, 164local, 164maximum principle, 197non-equilibrium, 191, 225optimal harvesting (ESOHS), 351
ESS maximum principle, 197evolutionarily enlightened manager, 354evolutionarily identical, 62
individuals, 17evolutionarily stable
minima, 159optimal harvesting strategy, 351strategy (see ESS)
evolutionarybranching, 159game, 16keystone, 264play, 15, 75, 304strategies, 61
evolutionary stabilityconvergence stability, 19resistant to invasion, 19
existencestruggle for, 62
expected payoff, 69, 279extinction
contexts for, 233
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Cambridge University Press0521841704 - Evolutionary Game Theory, Natural Selection, and Darwinian DynamicsThomas L. Vincent and Joel S. BrownIndexMore information
Index 379
families, 82fast tracking, 196first-order approximation, 124Fisher’s theorem of natural selection,
125fit of form and function, 1fitness, 40
density dependent, 8density independent, 8frequency dependent, 8frequency independent, 8function, 40generating function, 22, 62, 77generating function (compound), 225landscape, 13, 113matrix, 108multistage G-functions, 109set, 154
fixed point, 50, 162forming a G-fuction, 89frequency, 27
of individuals, 104of phenotypes, 122space, 180, 277vector, 277
frequency-dependent selection, 79
G-function, 22G-functions, 77
categorizing, 92multiple, 24, 99multistage, 106in terms of population frequency,
103with resources, 96with scalar strategies, 92with vector strategies, 93, 106
G-matrix, 109game of chicken, 67games
ant wars, 71asymmetric matrix, 66battle of the sexes, 66bi-linear, 69cancer chemotherapy, 359continuous, 70ESS under hump-shaped harvest, 348ESS under linear harvest, 347ESS under no harvest, 347flowering time – cooperative solution,
328flowering time, N > 1, 327
flowering time, N = 1, 327game of chicken, 67, 290, 293gerbil-owl fear, 333kin selection, 294L–V big bully, 95, 139, 169L–V big bully – coalition of one, 206L–V big bully – coalition of two, 208L–V competition, 93, 127, 131, 166L–V competition – coalition of one, 200L–V competition – coalition of two, 201L–V competition in terms of frequency,
105, 143, 182, 220life cycle, 109, 144modified game of chicken, 295multistage tutorial, 187non-equilibrium L–V, 145, 192, 227non-equilibrium L–V dependent on x ,
229non-equilibrium with x dependence,
193offspring size vs. number, 64predator–prey coevolution, 102, 142, 177,
215predators seeking wary prey, 338prisoner’s dilemma, 66, 288reciprocal altruism, 294resource discovery, 308resource matching, 307resource renewal, 309rock–scissor–paper, 290root competition, 329root–shoot ratio, 311, 313root–shoot with an ESS coalition of two,
315Schaeffer model with no harvest, 357Schaeffer model with size-restricted harvest,
357symmetric competition, 89symmetric matrix, 66war of attrition, 71zero-sum, 63
genetic drift, 266genetic interactions
epistatic, 7pleiotropic, 7
geneticsepistasis, 86pleiotropy, 86population, 7quantitative, 7
group selection, 78group-optimal strategy, 70
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Cambridge University Press0521841704 - Evolutionary Game Theory, Natural Selection, and Darwinian DynamicsThomas L. Vincent and Joel S. BrownIndexMore information
380 Index
habitat quality, 306habitat selection
density dependent, 305ideal free distribution, 305identity matrix, 32, 48
Hamilton’s rule, 294heritable variability, 13heritable variation, 62
invasion-driven, 117strategy-driven, 118
ideal free distribution, 305, 337identity matrix, 32, 48inclusive fitness, 14incumbent replacement, 272individual selection, 78inner game, 17, 75intrinsic growth rate, 43invariant set, 52isodar plot, 306
kin selection, 294
landscapeadaptive, 113fitness, 113rigid, 266
lemmasecologically stable cycle, 190ESC, 190ESE, 163ESE – frequency, 181ESE – multiple, 175ESE – multistage, 185ESE for the resource bauplan, 171multistage eigenvalues, 184
lifediversity, 1procession, 1
life cycle example, 223life-history stages, 106limit cycle
stable, 60linearization, 52logistic equation, 35
continuous, 38discrete, 35discrete exponential, 36
Lotka–Volterra predator–prey model,51
Lyapunov’s first method, 52
macroevolution, 9, 233, 269map, 35mating
assortative, 231matrix, 31
fitness, 48, 108identity, 32, 48population projection, 48square, 32transpose, 48
matrix gamesas an evoutionary game, 72bi-linear, 275, 279non-linear, 275symmetric, 66, 278
matrix-ESE, 280matrix-ESS, 281
sufficient condition, 282max-min strategy, 69microevolution, 9, 233, 268mixed strategy, 68, 292Modern Synthesis, 7monomorphic population, 276
Nashequilibrium, 18solution, 70
natural selection, 5density dependent, 7Fisher’s fundamental theorem, 13frequency dependent, 7
niche, 260construction, 30
no-regret strategy, 70nominal operating condition, 50non-equilibrium dynamics, 58non-negative orthant, 161notation example
fitness matrix, 48species, strategies, and resources, 30transpose, 48
optimization problem, 64organism
distribution and abundance, 2outer game, 17, 75
pangenesis, 4, 85Pareto-optimal
set, 154solution, 15
© Cambridge University Press www.cambridge.org
Cambridge University Press0521841704 - Evolutionary Game Theory, Natural Selection, and Darwinian DynamicsThomas L. Vincent and Joel S. BrownIndexMore information
Index 381
payoffbi-linear, 279expected, 69
periodic orbits, 59perturbation
equations, 147solutions, 52
phenotype, 121pleiotropy, 86polymorphic population, 276population dynamics, 93, 112population projection function, 40population projection matrix, 106positively invariant set, 52predator–prey coevolution, 102, 142prisoner’s dilemma, 66pristine environment, 344procession of life, 273punctuated equilibria, 274pure strategy, 69
quasi-periodic orbit, 60
rational reaction set, 157reciprocal altruism, 294reproduction
asexual, 117sexual, 117
resistance to invasion, 158resource dynamics, 96resources, 30rising number of species, 99root competition, 329
scalar, 28Schaeffer model, 355sector stability, 162selection
density-dependent, 116social systems
despotic, 73eusocial, 73
speciation, 128adaptive, 210adaptive radiation, 260allopatric, 251competitive, 159, 252sympatric, 251, 252
species, 1, 27, 121, 242archetype, 237biological species concept, 121, 234
ecologically keystone, 264evolutionarily keystone, 264morphological species concept, 121, 235phylogenetic species concept, 235strategy species concept, 121strategy-species definition, 28
species archetype, 237speed, 126stable equilibrium point, 50stability, 50
convergent, 148, 152ecological, 49, 152evolutionary, 49global, 53linear systems, 56local, 53Lotka–Volterra predator–prey example,
51periodic orbits, 59
state, 33perturbation equations, 52variables, 33
state-space notation, 33difference equations, 33differential equations, 34
stock recruitment, 355strategies, 27, 73
as heritable phenotypes, 8concatenation, 94continuous, 68evolutionarily stable, 151fixed, 73group-optimal, 70max-max, 70max-min, 69mean, 121mixed, 68, 276Nash solution, 70no-regret, 70pure, 69, 276scalar, 92, 106variable, 73vector, 93, 96, 99, 103
strategy dynamics, 21, 112, 114strategy species concept, 121, 236, 242struggle for existence, 62sustainable yield, 355symmetric competition game, 89symmetric matrix game, 66, 278sympatric speciation, 251, 252
gene flow example, 253
© Cambridge University Press www.cambridge.org
Cambridge University Press0521841704 - Evolutionary Game Theory, Natural Selection, and Darwinian DynamicsThomas L. Vincent and Joel S. BrownIndexMore information
382 Index
theoremsESS – frequency, 219ESS – multiple, 213ESS – multistage, 222ESS – resource, 211ESS – scalar, 198ESS – vector, 205game against relatives, 303matrix-ESS, 282matrix-ESS maximum principle, 281
time scale, 126ecological, 119evolutionary, 119
tragedy of the commons, 12, 96, 329
ecological, 350evolutionary, 350
transpose, 48, 108
variance, 125variance dynamics
in the L–V competition game, 244vector, 28
partitioning of, 94virtual strategy, 78
war of attrition, 71
zero-sum game, 63
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Cambridge University Press0521841704 - Evolutionary Game Theory, Natural Selection, and Darwinian DynamicsThomas L. Vincent and Joel S. BrownIndexMore information