Coder Social home page Coder Social logo

mklau / dissertation Goto Github PK

View Code? Open in Web Editor NEW
1.0 1.0 1.0 256.36 MB

Evolution of Ecological Networks. This is Matt Lau's dissertation projects folder. For more info, please contact him.

Emacs Lisp 1.44% TeX 34.35% R 15.20% MATLAB 1.25% PostScript 47.34% CSS 0.41%

dissertation's Introduction

dissertation's People

Contributors

mklau avatar

Stargazers

 avatar

Watchers

 avatar  avatar

dissertation's Issues

Additional Analyses (from meeting with Tom)

  1. check ses calculations, starting with ses = 10
  2. how does an ses of 10 compare to other communities?
  3. do tree level network modeling and compare that average to the stand level network structure
  4. correlate ses and richness
  5. correlate with xgal
  6. look at age

Grad College Deadlines

SPRING 2014
Jan 7
Graduate Assistant Appointment Start Date
Jan 14
Classes Begin
Jan 18
Open House for New Graduate Students and Graduate Assistants
Jan 21
Martin Luther King Holiday
Jan 25
Deadline to Submit AZ Residency Petition for Spring 2013
_Feb 8_
Applications for Doctoral Candidacy Due for May Graduation
_Feb 8_
Applications for May Graduation Due in Graduate College
Feb 22
Deadline to File Residency Reclassification Appeal for Spring 2013
Mar 18-22
Spring Break
_Apr 12_
Last Date to Submit Dissertation Defense Scheduling Form for May Graduation
_Apr 19_
Last Day to Submit Electronic Theses and Dissertations for Format Check: Email attachment only.
Apr 29
Graduate Student Awards Reception
_Apr 26_
Last Day to Hold Dissertation Defense for Spring Semester
May 3
Classes End
May 6-9
Finals
_May 8_
Final Approved Electronic Thesis and Dissertation (ETD) Submission Due
May 10
Graduate Assistant Appointment End Date
May 10-11
Commencement

Fall 2013
Oct 4
Deadline to File Residency Reclassification Appeal
Nov 11
Veteran’s Day Holiday
Nov 20
Last Date to Submit Dissertation Defense Scheduling Form for December Graduation
Nov 20
Last Day to Submit Electronic Theses and Dissertations for Format Check: Email attachment only.
Nov 28-29
Thanksgiving Holiday
Dec 4
Last Day to Hold Dissertation Defense for Fall Semester
Dec 11
Classes End
Dec 13, 16-18
Finals
Dec 17
Final Approved Electronic Copies of Theses and Dissertations Due
Dec 18
Fall-only Graduate Assistant Appointment End Date
Dec 19
Commencement

REVIEW: notes from last meeting with Tom

bernardson paper
grady city of flag grant bringing back the rio de flag

urban = instant climate change

  • ling range climate impacts of cities
  • cities as a selective agent
  • abondined lots can be used for genetics in urban systems (cheatgrass, chenopodium)

Re-do all analyses

  • account for height (can you combine both quadrats so that each tree has 100 cells?)
  • do abundance, richness, community responses to roughness
  • do stand level integrated and tree level co-occurrence (Gotelli and Araujo styles)
  • do tree level co-occurrence analyses (Gotelli style)
  • do tree level co-occurrence network analyses (Araujo style)
  • look at response of co-occurrence patterns to A/cover, R, roughness
  • conduct in the wild
  • conduct in the onc
  • conduct in pit
  • other variables to explain variation?

Fix x_i notation

P(x_i) is repeated unparsimoniously.

Use?

P(x_i) = x_i * P(o_i) + (1-x_i) * P(a_i)

Genetics of leaf abscission

meeting with Tom (Jun2013)
%%%%% Genetics of Leaf Absiscion %%%%%
-- Known leaf abscision influenced by P. betae
-- Kown genetic basis to sink-source
-- Known differences in susceptibility
--- zero sum game for the aphid in terms of photosynthate
--- absciscic acid? unpublished paper that Tom reviewed

  • Question: What is the genetic component to absiscion?
    Results
    -- Fig 1 Tom's poisson = don't share leaves
    -- Stats only. Genetope -> susceptibility
    -- Fig 2 Genetics -> leaf absiscion (control for density)
  • Is there a relationship between leaf size and susceptibility?
  • 1986 ecology evolution of teritoriality
  • Compson sink source paper
  • williams and whitham
  • martinson paper
  • Co-authors
    -- Zink
    -- Art
    -- Tom
    -- Joe?
    -- Todd?

Outline - Genetic Variation Contributes to Interaction Network Structure (Chp 3)

  • Ecological interactions are local and both direct and diffuse
  • Genetic variation in foundation species influences spatial distributions of species
  • Here we explore how genetically based variation can contribute to the structure of ecological interaction networks by modularing the frequency of encounters between individuals
  • To do this, we:
  • simulate how genetically based variation leads to spatial patterns of species distributions
  • model interaction networks from both a uni- and bi-partite network perspective
  • analyze the structure of these networks

We argue that foundation species genetic variation leads to changes in species interaction network structure, and that these effects can then propogate through networks of associated species

Chapter Outlines

Plan for Writing

  • Finish analyses
  • Summarize results
  • Outline main results
  • Get feedback from Tom
  • Write abstract
  • Write methods
  • Write introduction
  • Write discussion
  • Get feedback from group

The differences among genotypes (i.e. the community level effect of genetic variance) is unlikely to be constant over time, but to rise and fall like a tide depending on abiotic flux and the dynamics of the associated community.

IDEA: Put into real units

Find a study or theory estimating the amount of selection needed for evolution and look at the lower threshold given the structure of the interaction network of the community.

Outline - network question

  • Ecology and evolution can function on similar time scales
  • Genetic variation in plant species has been shown to influence community dynamics, however few studies have resolved the impact this has on the complex web of interactions among species
  • In this study, using a foundation species model system, we address the question: how does genetic variation in a foundation species influence networks of interacting species?
  • To do this we:
  • model the structure of interaction networks at the scale of both the stand and the tree
  • examine the topology of these networks at the level of individual species
  • test for effect of genetics on network structure using null model based co-occurence and bipartite network analyses

We hypothesize that network structure will be directly influenced by genetically based variation in tree traitsand that the topological importance of species in the network will be positivley related to the numerical dominance of species.

EMAIL: note from Tom

OK, Good, glad you will be joining us. I also agree with your comments on foundation species as stated below. Also, in the same conversation with Steve Shuster in which he related the issues about Kim, he said that he was anxious to get Eric back on track with the ECD. I told him of your interest in finishing it off. Before you do too much more, it would be good if you contacted Steve and/or Eric. Steve totally agrees that the ms is too important to let it languish more, so he is supportive in doing whatever it takes to get it out. Regarding genetic covariances between species, the aphid/cottonwood and the mite/cottonwood examples are best. Although I haven’t seen Kim’s latest, Luke’s published work is best. I wish we had a lot more, but unfortunately, we don’t. The cut-off of a species being a foundation species may best be defined by the interaction network. If you took all the species in one of your analyses, what would the shape of your distribution be? Bridgeland et al. (2010) had 700 species but only a handful were strong interactors as he defined them. I would like to see several metrics involved such as your network analysis, removal experiments as we have done several times, biomass, addition experiments. I think that generally, these several metrics would agree, but I’ve never seen anyone do it. See you in a few.

cgSim: whenever y==1 r2>0.48

Check equation values you have when y == 1.

YY variation scenarios of other ecological interactions

What is scenario YY == 1

ONC analysis

  • find missing roughness values
  • deal with cross year data

Things to think about... (from meeting with Tom)

  • co-occurrence predictions from resource-interaction theory
  • plant traits and community evolution
  • think broad, how does this relate to other systems
  • effective community diversity?
  • think about information: a = -sum ti log tij/ti ?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.