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Predicting Springtime Herbicide Exposure Across Multiple Scales In Pacific Coastal Drainages (Oregon, Usa), Kaegan Michael Scully-Engelmeyer, Elise F. Granek
Predicting Springtime Herbicide Exposure Across Multiple Scales In Pacific Coastal Drainages (Oregon, Usa), Kaegan Michael Scully-Engelmeyer, Elise F. Granek
Environmental Science and Management Faculty Publications and Presentations
Identification of non-point sources of watershed pollution such as pesticide runoff is challenging due to spatial and temporal variation in landscape patterns of land use and environmental conditions. Regional case study monitoring investigations can document region-specific conditions and processes to inform managers about pesticide movement through watersheds. Additionally, modeling field-collected data within these contexts can be used to predict pesticide presence in un-sampled areas. During a 45 day period in the spring of 2019, we sampled sixteen coastal watersheds in Oregon, USA for current-use water-borne herbicides commonly used in forestland vegetation management. At 80 % of sampling locations, at least …
An Economical And Repeatable Method For Mapping Shade Cast On Water Channels, Eric M. Nielsen
An Economical And Repeatable Method For Mapping Shade Cast On Water Channels, Eric M. Nielsen
Institute for Natural Resources Publications
The motivation of this work is to provide insights toward determining a viable strategy for statewide monitoring of riparian vegetation condition, with particular focus on developing a repeatable, costeffective method for assessment of progress toward achieving temperature-based water quality standards mandated by the federal Clean Water Act. A reliable monitoring strategy could in turn support a datadriven prioritization and assessment framework to increase the efficiency, effectiveness and accountability of riparian restoration efforts. In this project we developed and tested a method for mapping shade cast on water channels by riparian vegetation using optical imagery sources that are affordable and regularly …