We invite you to join us for the 2017 EcoInformatics Summer Institute Symposium for research seminars on pollinator and river networks!
When: Aug. 17th, 2-4pm
Where: LINC 268
What: The EISI is an NSF-funded Research Experience for Undergraduates (REU) program that supports students from computer science, mathematics, ecology, earth science, engineering, and statistics. Students work in interdisciplinary teams to conduct field work at the HJ Andrews Experimental Forest. The students then analyze the “big data” developed at the Andrews to apply cutting-edge methods and models for investigating the dynamics of plant-pollinator networks and of river networks. Titles of individual student projects are provided below.
Author Project team Presentation Title
Peter Duin river networks Impact of forest harvests, road networks, debris flows, and channel morphology on volume of large woody debris in Western Cascade streams
Brent Davis river networks The spatial influence of LWD and tributary confluence on the local grain size distribution
Malia Gonzales river networks Analyzing the effect of flood events and debris flows on the temporal change of stream grain size distribution in the Western Cascade Mountains, Oregon
Sashka Warner river networks Network Structure as a Modulator of Disturbance Impacts in Streams
Adam Zhang river networks An analysis of fractal geometry in Western Cascade stream networks
Josh Griffin pollinator networks Simulating pollinator foraging - contrasting social bees vs. solitary bees
Jane Huestis pollinator networks Examining phylogenetic relatedness as a driver of plant-pollinator interactions in montane meadows
Lydia Miller pollinator networks Drivers of modularity in plant-pollinator networks of montane meadows
Elaina Thomas pollinator networks Separating nestedness from species replacement in measures of beta diversity in montane meadows of the Western Cascades
Andrew Guide pollinator networks Influence of plant and pollinator characteristics on the interactions of pollinators in montane meadow.
You can find more information about the program on the EISI website