Abstract
We inferred in-stream ecosystem processes in terms of photosynthetic productivity (P), system respiration (R), and reaeration capacity (RC) from a five parameter numerical oxygen mass balance model driven by radiation, stream and air temperature, and stream depth. This was calibrated to high-resolution (15 min), long-term (2.5 years) dissolved oxygen (DO) time series for moorland and forest reaches of a third-order montane stream in Scotland. The model was multicriteria calibrated to continuous 24 h periods within the time series to identify behavioral simulations representative of ecosystem functioning. Results were evaluated using a seasonal regional sensitivity analysis and a colinearity index for parameter sensitivity. This showed that >95 % of the behavioral models for the moorland and forest sites were identifiable and able to infer in-stream processes from the DO time series for around 40% and 32% of the time period, respectively. Monthly P/R ratios
Original language | English |
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Pages (from-to) | 5260-5275 |
Number of pages | 16 |
Journal | Water Resources Research |
Volume | 49 |
Issue number | 9 |
DOIs | |
Publication status | Published - Sept 2013 |
Keywords
- stream metabolism
- dissolved oxygen
- mass balance models
- riparian vegetation