Abstract
As fish approach fatigue at high water velocities in a critical swimming speed (Ucrit) test, their swimming mode and oxygen cascade typically move to an unsteady state because they adopt an unsteady, burst-and-glide swimming mode despite a constant, imposed workload. However, conventional rate of oxygen uptake (ṀO2 ) sampling intervals (5-20 min) tend to smooth any dynamic fluctuations in active ṀO2 (ṀO2active) and thus likely underestimate the peak ṀO2active Here, we used rainbow trout (Oncorhynchus mykiss) to explore the dynamic nature of ṀO2active near Ucrit using various sampling windows and an iterative algorithm. Compared with a conventional interval regression analysis of ṀO2active over a 10-min period, our new analytical approach generated a 23% higher peak ṀO2active Therefore, we suggest that accounting for such dynamics in ṀO2active with this new analytical approach may lead to more accurate estimates of maximum ṀO2 in fishes.
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