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Start Date
4-4-2023 2:00 PM
End Date
4-4-2023 2:09 PM
Abstract
Stream temperature is a fundamental indicator of the overall health of aquatic ecosystems. Warming trends due to changes in both local land use and global climate will affect the viability of aquatic species’ habitats and efforts to conserve them, highlighting the importance of understanding the relative controls on stream temperature. Contextualizing influential landscape and climate variables within the directional, dendritic structure of stream networks is essential in understanding their relative importance from location to location, and in making watershed-wide predictions of stream temperature.
A multiyear stream monitoring effort in the Clackamas River Basin, Oregon was leveraged to derive a geostatistical spatial stream network (SSN) model using a novel pool of stream temperature covariate datasets derived at multiple spatial scales. This presentation will demonstrate how variables such as summer air temperature, recent wildfires, and underlying geology work together at different scales, allowing high resolution predictions of stream temperature throughout river basins using SSNs. Furthermore, we will highlight the implications of scaled influential factors to resource managers’ future efforts to conserve and restore healthy streams.
Subjects
GIS / modeling, Land/watershed management, Water quality
Persistent Identifier
https://archives.pdx.edu/ds/psu/40500
Rights
© Copyright the author(s)
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Scales of Connectivity Within Stream Temperature Networks of the Clackamas River Basin, Oregon
Stream temperature is a fundamental indicator of the overall health of aquatic ecosystems. Warming trends due to changes in both local land use and global climate will affect the viability of aquatic species’ habitats and efforts to conserve them, highlighting the importance of understanding the relative controls on stream temperature. Contextualizing influential landscape and climate variables within the directional, dendritic structure of stream networks is essential in understanding their relative importance from location to location, and in making watershed-wide predictions of stream temperature.
A multiyear stream monitoring effort in the Clackamas River Basin, Oregon was leveraged to derive a geostatistical spatial stream network (SSN) model using a novel pool of stream temperature covariate datasets derived at multiple spatial scales. This presentation will demonstrate how variables such as summer air temperature, recent wildfires, and underlying geology work together at different scales, allowing high resolution predictions of stream temperature throughout river basins using SSNs. Furthermore, we will highlight the implications of scaled influential factors to resource managers’ future efforts to conserve and restore healthy streams.