2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
6/08/2017 | 11:45 AM - 12:00 PM | QUANTIFYING CHANGES IN THE LENGTH OF THE GROWING SEASON IN MOUNTAIN STREAMS BASED ON OBJECTIVE EVALUATIONS OF TRENDS IN HYDROLOGIC REGIMES (SIZER) | 302B
QUANTIFYING CHANGES IN THE LENGTH OF THE GROWING SEASON IN MOUNTAIN STREAMS BASED ON OBJECTIVE EVALUATIONS OF TRENDS IN HYDROLOGIC REGIMES (SIZER)
Climate change is expected to generate earlier peak flows in snowmelt driven hydrologic systems. Earlier snowmelt may lengthen the algal growing season, altering the annual cycles of aquatic biogeochemical processing. We used the “significant zero crossings” (SiZer) approach to evaluate hydrologic thresholds by computing the derivatives of smoothed hydrograph models. SiZer generates a range of models with different time scales of smoothing, providing a robust assessment of the statistical significance in the temporal trends of hydrograph inflections. We applied SiZer to quantify timing of peak flow and start of the baseflow recession in annual hydrographs for montane regions of the Gallatin River in southwest Montana (89-yr period of record). Our preliminary analysis evaluated a 15-year dataset to characterize recent variation in the start of the growing season. SiZer analysis affected interpretation of trends by eliminating the noise in the data generated by conventional analysis of multimodal hydrographs. This study provides an objective perspective on how high-elevation watersheds are responding to climate dynamics, and has implications to understanding an important causal link between climate change and metabolic biogeochemistry in mountain headwaters.
- C20 Climate Change
- C14 Hydroecology
- S24 Towards a predictive freshwater ecology: using time-series data to understand and forecast responses to a changing environment
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Presenters/Authors
Meryl Storb
(), Montana State University, meryl.storb@gmail.com;
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Robert Payn
(), Montana State University, Montana Institute on Ecosystems, rpayn@montana.edu;
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Mark Greenwood
(), Montana State University, greenwood@montana.edu ;
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HongYi Li
(), Montana State University, hongyi.li@montana.edu ;
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