Diffusion and logistic population growth invasions the Fisher equation and traveling waves
Wed, 12 Jul 2017 |
Population Size
We conclude this chapter with a short introduction to a complicated topic, and one that comes the closest to pure mathematics yet - we are going to show that a solution to a question exists, but we are not going to actually find the solution. By way of motivation, we begin with the empirical phenomenon. In Figure 2.21a, I show the spatial distribution of the variegated leafhopper (VLH, Erythronewra varzabz' zs) which is a pest of grapes in California (Settle and Wilson 1990), during an invasion...
- A - 2
- A 2 B C D2
- A B
- A2
- Accounting for the freeliving stage
- Ach1 m pm
- Adding demography to SIR or SIRS models
- Age structure and yield per recruit
- An alternative to Brownian motion the Poisson increment
- An introduction to some of the problems of sustainable fisheries
- Applications of stochastic population dynamics to ecology evolution and biodemography
- Asymptotic expansions
- Back to the gamma density
- Bifurcations and catastrophe theory
- Bioeconomics and the role of discounting
- Brownian motion
- C2
- CdU U1 U263
- Chaos and complexity
- Characterizing the transmission between susceptible and infected individuals
- Cholera
- Combining behavior and population dynamics - 2
- Conjugate priors noninformative priors
- Connections - 2
- Contents
- D
- D gx xs ys x gy xs y s
- Delay differential equations in general
- Delay differential models for hostparasitoid dynamics
- Differential equations in the phase plane
- Diffusion and exponential population growth
- Diffusion as a random walk - 2
- Dpdt cp1 p mp c mp cp2
- Dr
- E
- Ecological applications of disease models
- Evolution of host choice in parasitoids
- Evolution of host choice in parasitoids marking pheromones superparasitism and patch leaving
- Evolution of virulenceevolution of resistance
- Exercise 313 E
- Exercise 315 E
- Exercise 316 EM
- Exercise 318 EM
- Exercise 42 E
- Exercise 43 MH
- Exercise 44 M
- Exercise 45 EM
- Exercise 46 MH
- Exercise 48 MH
- Experiments events and probability fundamentals
- F - 2
- F xs ys qf x ylxsysx qyf x y
- Four examples and a metaphor
- Gaussian white noise
- General literature
- Gxy
- Helminth worms
- Http HTTF
- I
- I1 n
- Individualbased models
- Info - 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88
- J J
- K
- L
- Lhs
- Life history invariants
- Linear and nonlinear diffusion
- Linear regression least squares and total least squares measurement errors in both x and y
- Marine Fisheries Section American Fisheries Society Special Publication
- Meanvariance power laws
- Model selection via likelihood ratio AIC and BIC
- Moments expectation variance standard deviation and coefficient of variation
- More about likelihood
- More advanced models for population dynamics
- More on mutualism
- Multiple attacks may provide a different kind of refuge
- N - 2
- N 2n 12n20 N
- Nrv V v v m
- Nttn 12n nttn nttn 1810
- O
- Osp
- P - 2 3
- Permissions
- Population dynamics in fluctuating environments
- Preface Bill Mote Youngblood Hawke and Mel Brooks
- Probability and some statistics
- Pv
- Random search with depletion
- Random variables distribution and density functions
- Risk analysis as a framework in fishery systems
- Rvrv
- S
- Salmon are special
- Separation of variables and Fourier series
- Sir Sirs models
- SJl Cambridge
- Spontaneous asymmetric synthesis
- St exp[at t2544
- Stochastic dynamic programming
- Stochastic epidemics
- Stock and recruitment
- T
- Tcell phenotypes in multiple infections
- Testing your methods with simulated data and then some of the real data
- The basic idea escape from a domain of attraction
- The basics of stochastic population dynamics
- The beta density and patch leaving
- The binomial distribution discrete trials and discrete outcomes
- The broader ecological setting
- The coevolution of virulence and host response
- The evolution of virulence
- The evolutionary ecology of parasitoids
- The fdistribution and the second secret of statistics
- The Fisher equation invasion biology and reaction diffusion equations
- The fishery system
- The forward equation
- The gamblers ruin in a biased game
- The gamblers ruin in a fair game
- The gamma and beta functions
- The gamma function
- The lognormal distribution and nonnegative measurements
- The Mac ArthurWilson theory of extinction time
- The multinomial distribution more than one kind of success
- The negative binomial 1 waiting for success
- The negative binomial distribution 2 a Poisson process with varying rate parameter and the gamma density
- The Nicholson Bailey model and its generalizations
- The normal Gaussian distribution the standard for error distributions
- The optimal level of virulence
- The Poisson distribution continuous trials and discrete outcomes
- The population biology of disease
- The Ricker recruitment function
- The role of a ceiling on population size
- The Schaefer model and its extensions
- The SI model
- The SIR model of epidemics
- The SIRS model of endemic diseases
- The theory of marine reserves
- The unbeatable ESS level of virulence
- Thel Theoretical Biologists Toolbox
- Thinking along sample paths
- Topics from ordinary and partial differential equations
- Two dimensional differential equations and the classification of steady states
- Using the tdistribution in ecological models and Bayesian updating of the parameter
- V
- V2p
- Variation in attack rate
- Vectorbased diseases malaria
- Vectorbased models
- X
- 1
- XyMqCy z Cy tdy d
- Yield per recruit
