UVM Theses and Dissertations
Format:
Print
Author:
Pechenick, Alison M.
Dept./Program:
Civil and Environmental Engineering
Year:
2013
Degree:
MS
Abstract:
Roads in rural, upland landscapes are important sources of runoff and sediment to waterways. The downstream effects of these sources should be related to the connectivity of roads to receiving waters. Recent studies have explored 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. In this study, we evaluated traditional and newly developed connectivity metrics that utilized features of landscape position and delivery pathway to characterize road-stream connectivity in upland settings.
Using data on stream geomorphic conditions developed by the Vermont (USA) Agency of Natural Resources, we related road connectivity metrics to channel condition on a set of 102 forested, upland streams with minimal development other than predominantly gravel road networks. Logistic regression indicated that measures of road density, proximity and orientation successfully distinguished among categories of stream geomorphic condition at multiple geographic scales. Discriminant function analysis using a set of inherent channel characteristics combined with road connectivity metrics successfully distinguished channel condition for nearly 67% of the channels evaluated and for 90% of channels within +/ - one class of condition. This research contributes to efforts to evaluate the cumulative downstream effects of roads on stream channels and aquatic resources.
Using data on stream geomorphic conditions developed by the Vermont (USA) Agency of Natural Resources, we related road connectivity metrics to channel condition on a set of 102 forested, upland streams with minimal development other than predominantly gravel road networks. Logistic regression indicated that measures of road density, proximity and orientation successfully distinguished among categories of stream geomorphic condition at multiple geographic scales. Discriminant function analysis using a set of inherent channel characteristics combined with road connectivity metrics successfully distinguished channel condition for nearly 67% of the channels evaluated and for 90% of channels within +/ - one class of condition. This research contributes to efforts to evaluate the cumulative downstream effects of roads on stream channels and aquatic resources.