Welcome!
With interactions at its core, either among organisms or between organisms and abiotic factors, ecology is inherently a relational science. Because of this, ecological systems are very naturally and effectively approached using network analysis.Exploring the range of ecological networks from the interactions among plants and pollinating insects to marine food-webs, this workshop will introduce the basics of network theory and introduce users through hands-on exercises to multiple tools for conducting network analysis.
All you'll need to bring is a laptop that can access the internet and has R installed on it. For more information on R and how to install on your system, please go to https://cran.r-project.org.
Road-Map
12 - 12:10 — Introductions (Lau)
12:15 - 1 pm — Intro to Network (Borrett)
1 - 1:30 pm — Model Construction — with emphasis on ecosystem models
1:30 - 1:45 — Break 1 — (Lau and Borrett help any students who need it get R and enaR and bipartite and iGraph installed)
1:45 - 2:45 — Bipartite Network Analysis [with R] (Lau) — Two-mode network analysis using nestedness and modularity, also including ~10 intro to R.
2:45 - 3:00 pm — Break 2
3:00 - 3:50 pm — Intro to ENA with enaR (Borrett, Lau, and Whipple)
4:00 - 4:55 pm — EcoNet — ENA, Dynamic Models, other new analyses. (Caner)
4:55 - 5 pm — Summary and Wrap up. (Lau)
Readings
Of the huge body of network science and its applications to ecology, we selected a few papers that would be great to read before coming to class:Kazanci, C. (2008) What is EcoNet?
Here's a list (click here) of more references that will be cited and discussed.
Software
bipartite, enaR, iGraph, and EcoNetContributors
Stuart Borett (UNC Wilmington)
Caner Kazanci (University of Georgia)
Stuart Whipple (University of Georgia)