Date of Award

Summer 2019

Project Type

Thesis

Program or Major

Natural Resources

Degree Name

Master of Science

First Advisor

William H McDowell

Second Advisor

Wilfred M Wollheim

Third Advisor

Adam S Wymore

Abstract

Using modified SIPCO2 sensors to collect CO2 data that provided spatiotemporal cover of five streams the verifiability of CO2 was quantified as well as insight into how differences in the stream channel or watershed characteristics affect CO2 patterns on a reach scale. This was tested by placing six sensors 100m apart and rotating them through five streams. This allowed for the pCO2 variability within these streams to be quantified and showed that pCO2 is variable through time and on small (100m) scales. The data shows that characteristics along a stream channel, such as slope can reduce pCO2 and that transitions in and out of wetlands have the capability of replenishing pCO2. Additional insight into potential drivers explaining the lack of temporal patterns and methods of predicting pCO2 as using temperature dissolved oxygen and other robust sensor data was determined.

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