Show simple item record

dc.contributor.author Penner, Amber
dc.contributor.author Ali, Genevieve
dc.contributor.author Petzold, Halya
dc.date.accessioned 2014-07-18T16:23:22Z
dc.date.available 2014-07-18T16:23:22Z
dc.date.issued 2014-07-18
dc.identifier.uri http://hdl.handle.net/1993/23702
dc.description.abstract The study of spatial and temporal patterns of watershed properties can provide a greater understanding of the drivers of hydrologic change. This is especially true for water quality dynamics that are known to vary: 1) temporally as a function of antecedent conditions (wet, intermediate, dry), seasons (spring, summer, fall), and events (snowmelt-­‐driven, rainfall-­‐triggered), and 2) spatially as a function of adjacent and upstream land-­‐use practices and topographical characteristics. Those spatiotemporal dynamics are especially understudied in cold and intensively managed Prairie landscapes. Here we focused on a typical, mixed use Prairie watershed for which weekly average nutrient concentrations are available for the 2013 open water season: weekly correlation coefficients were calculated between nutrient concentrations and watershed characteristics such as land use and land cover proportions, mean watershed slope, and soil properties. This week-specific correlation analysis was done to allow the assessment of a) which landscape characteristics influence water quality the greatest, and b) whether the influence exerted by specific landscape characteristics varies from week to week. en_US
dc.description.sponsorship Manitoba Infrastructure and Transportation;Centre for Earth Observation Science (CEOS) en_US
dc.language.iso en en_US
dc.subject 2014 en_US
dc.subject Catfish Creek Watershed en_US
dc.subject water quality en_US
dc.subject prairie en_US
dc.subject spatiotemporal en_US
dc.title Investigating Spatiotemporal changes in water quality across a nested system of intensively managed prairie watersheds en_US
dc.type Presentation en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

View Statistics