Abstract: Gravel roads in rural and upland landscapes are important sources of runoff and sediment to water ways. The downstream effects of these sources should be related to the connectivity of roads to receiving waters. Recent studies have probed this idea, but only simple metrics have been used to characterize connectivity and few studies have quantified the downstream effects of road-stream connectivity on sediment or solute budgets and channel morphology. We propose a set of connectivity metrics that utilize features of landscape position and delivery pathway to characterize road-stream connectivity in upland settings. We draw on a set of studies exploring road effects on runoff, sediment production, nutrient runoff, and channel morphology to evaluate the effect of roads on material transfer to receiving waters and the downstream geomorphic effects of these transfers. We propose that these metrics can be used to evaluate the importance of gravel roads in water quality degradation and identify roads that could be targeted for restoration or removal to improve downstream water quality.
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Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).