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Ecology and EvolutionTutorials
September 2005– August 2006

Workshops Page

Tutorial 1: September 7-9 and September 12-13
Tree Reconstruction and Coalescence Theory (including computer lab)
Organizers: Dennis Pearl and Paul Fuerst

Participants  
   

Presentation materials (Dennis Pearl): PDF1, PDF2, PDF3, PDF4, PDF5

Tentative Schedule
Wednesday September 7th
9:00 - 10:00 a.m. Introduction, models,
alignments, diagnostics
Paul Fuerst
10:30 - 11:30 a.m.
2:00 - 3:00 p.m. Computer lab: CLUSTAL & ModelTest Paul Fuerst
Thursday September 8th
9:00 - 10:00 a.m. Parsimony Paul Fuerst & Dennis Pearl
10:30 - 11:30 a.m. Maximum Likelihood
2:00 - 3:00 p.m. Computer Lab: PHYLIP & PAUP* Paul Fuerst & Dennis Pearl
Friday September 9th
9:00 - 10:00 a.m. Comparing methods, Resampling, diagnostics Paul Fuerst & Dennis Pearl
10:30 - 11:30 a.m.
2:00 - 3:00 p.m. Computer Lab: PAUP* Paul Fuerst & Dennis Pearl
Monday September 12th
9:00 - 10:00 a.m. Bayesian Methods Dennis Pearl
10:30 - 11:30 a.m.
2:00 - 3:00 p.m. Computer Lab: MrBayes Dennis Pearl
Tuesday September 13th
9:00 - 10:00 a.m. Coalescence Theory Dennis Pearl
10:30 - 11:30 a.m. Computer Lab: Coalescence Paul Fuerst

Abstract:

Phylogenetic trees are commonly used to describe the evolutionary history of a group of species, and may also be used to study rapidly evolving individual organisms such as certain viruses, bacteria or parasites. These trees are high-dimensional, non-real-valued data objects, with a specific pattern of built-in dependencies that violate the assumptions of many traditional methodologies and thus provide a rich source of statistical and mathematical challenges. This tutorial will provide an introduction to the area illustrated with some interesting and important biological problems that can be addressed using phylogenetic techniques.

Reference:

Felsenstein, J (2003) Inferring Phylogenies. Sinauer Associates

Tutorial for Workshop 4: March 9-10, 2006
Reaction - Diffusion Models
Organizer: Chris Cosner

Reaction-Diffusion equations have been used extensively in mathematical ecology as models for the dynamics and interactions of spatially distributed populations. They provide a way of translating assumptions about local rates of movement, reproduction, and mortality into global conclusions about the persistence of populations and the structure of communities. They can be derived as continuum limits of spatially discrete stochastic processes. They can incorporate boundary conditions that describe edge-mediated effects. There are three major types of phenomena that can arise in reaction-diffusion models: traveling wavefronts, the formation of patterns in homogeneous space, and the presence of lower bounds on the sizes of domains that will support nonzero solutions or solutions with spatial patterns. Thus, they can be used to address issues related to biological invasions, spatial patterning, and critical patch size. The analysis of reaction-diffusion equations involves a mixture of ideas from dynamical systems and the theory of partial differential equations. Many reaction-diffusion equations have monotonicity properties arising from the maximum principle which allow comparisons between solutions. The stability of their equilibria is typically determined by the signs of principal eigenvalues of related elliptic partial differential operators. Information about the stability of equilibria often can be used to analyze the overall structure of the set of equilibria or the asymptotic behavior of solutions by means of bifurcation theory and persistence theory. The derivation, interpretation, and analysis of reaction-diffusion models will be discussed, along with the essential background ideas from
partial differential equations and dynamical systems. Applications to biological invasions, spatial patterning, and spatial effects influencing the persistence or coexistence of populations will be described. The material will be drawn from various sources, a few of which are listed below.

1. R.S. Cantrell and C. Cosner (2003), Spatial Ecology via Reaction-Diffusion Equations. Wiley.

2. J. D. Murray (2004), Mathematical Biology I and II. Springer.

3. A. Okubo and S. Levin (2001), Diffusion and Ecological Problems: Modern Perspectives. Springer.

Presentation Materials: PDF1, PDF2, PDF3, PDF4, PDF5, PDF6, PDF7, PDF8, PDF9, PDF10, PDF11, PDF12

Participants  

Schedule

Thursday, March 9
9:00am-12:00pm Chris Cosner presentations (with short breaks)
12:00pm-1:30pm Lunch Break
1:30pm-5:00pm Chris Cosner presentations (with short breaks)
Friday, March 10
9:00am-12:00pm Chris Cosner presentations (with short breaks)
12:00pm-1:30pm Lunch Break
1:30pm-5:00pm Chris Cosner presentations (with short breaks)

 

 

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