2023 Early Hearing Detection & Intervention Conference

March 5-7, 2023 • Cincinnati, OH

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6/05/2017  |   2:00 PM - 2:15 PM   |  DO HYDROLOGIC METRICS ACCURATELY CHARACTERISE SPATIAL AND TEMPORAL VARIATION IN FLOW REGIMES FOR FLOW-ECOLOGY STUDIES?   |  302C

DO HYDROLOGIC METRICS ACCURATELY CHARACTERISE SPATIAL AND TEMPORAL VARIATION IN FLOW REGIMES FOR FLOW-ECOLOGY STUDIES?

A fundamental step in flow-ecology research is to calculate a range of hydrologic metrics to summarise flow regimes for subsequent use in flow-ecology regression models. It is unclear how well such metrics characterise the spatial and temporal variation in flow regimes and whether this varies with the predictability of flow, making it crucial to quantify the strengths and potential weaknesses of this approach. Using discharge data from unregulated rivers across Australia, we compared how accurately hydrologic metrics characterise spatial and temporal variation in flow regimes. Distance matrices summarising spatial variation in flow metrics generally showed high correlation with distance matrices summarising spatial variation in raw daily flow records, however, this declined with decreasing predictability of flow. Correlations between temporal variation in flow at a single gauge and the metrics used to characterise it tended to be lower than the spatial analysis but also declined with predictability of flow. Hydrologic metrics will continue to be an important tool in flow-ecology research, however, there are settings where alternative approaches, such as those based on spectral analysis or functional decompositions of the hydrograph, may be more suitable.

  • C14 Hydroecology
  • S24 Towards a predictive freshwater ecology: using time-series data to understand and forecast responses to a changing environment
  • S31 Moving forward in flow ecology: identifying and testing key hypotheses

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Presenters/Authors

Ben Stewart-Koster (), Australian Rivers Institute, Griffith University, b.stewart-koster@griffith.edu.au;


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Mark Kennard (), Australian Rivers Institute, Griffith University, m.kennard@griffith.edu.au;


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Carmel Pollino (), CSIRO Land and Water, Carmel.Pollino@csiro.au;


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