scholarly journals Fish Bioenergetics 4.0: An R-Based Modeling Application

Fisheries ◽  
2017 ◽  
Vol 42 (11) ◽  
pp. 586-596 ◽  
Author(s):  
David Deslauriers ◽  
Steven R. Chipps ◽  
James E. Breck ◽  
James A. Rice ◽  
Charles P. Madenjian
Keyword(s):  
Fish Bioenergetics

scholarly journals Widespread consumption-dependent systematic error in fish bioenergetics models and its implications

2004 ◽  
Vol 61 (11) ◽  
pp. 2158-2167 ◽  
Author(s):  
Przemyslaw G Bajer ◽  
Gregory W Whitledge ◽  
Robert S Hayward
Keyword(s):  
Body Weight ◽  
Systematic Error ◽  
Consumption Rate ◽  
Fish Growth ◽  
Model Parameters ◽  
Feeding Rates ◽  
Daily Consumption ◽  
Consumption Level ◽  
Fish Bioenergetics ◽  
Bioenergetics Models

Data from laboratory evaluations of seven fish bioenergetics models (BEMs) were used to investigate possible associations between BEM prediction error in relative growth rate (RGRerror) and levels of model input variables: mean daily food-consumption rate and fish body weight. Correlation between RGRerror and fish body weight was found in three BEMs applied under submaintenance feeding conditions. A strong correlation between RGRerror and mean daily consumption level was observed in all models over full consumption ranges; consumption level explained 70%–96% of variation in RGRerror. All BEMs underestimated (by 2- to 5-fold) growth at lower consumption levels and overestimated (by 2- to 3-fold) growth at higher consumption levels. RGRerror values associated with higher consumption levels were greater (up to 22 cal·g–1·day–1) than those at lower consumption levels (up to 10 cal·g–1·day–1). Correlation between consumption rate and RGRerror in all seven models indicates widespread systematic error among BEMs that likely arises from deficiencies in consumption-dependent model parameters. Results indicate that many BEMs are substantially inaccurate when predicting fish growth from higher feeding rates or estimating consumption from higher growth rates, even when higher consumption levels or growth episodes are of short duration. Findings obtained under submaintenance feeding conditions indicate that additional body-weight- and consumption-dependent terms should be added to BEM subequations for routine metabolism to account for metabolic reduction.

scholarly journals Effects of light intensity on activity and pelagic dispersion of fish: studies with a seabed-mounted echosounder

2008 ◽  
Vol 66 (2) ◽  
pp. 388-395 ◽  
Author(s):  
Tomas Didrikas ◽  
Sture Hansson
Keyword(s):  
Light Intensity ◽  
Swimming Speed ◽  
Important Variable ◽  
Diel Cycle ◽  
Marine Science ◽  
High Latitudes ◽  
Fish Size ◽  
Fish Bioenergetics ◽  
Fish Activity ◽  
Bioenergetics Models

Abstract Didrikas, T., and Hansson, S. 2009. Effects of light intensity on activity and pelagic dispersion of fish: studies with a seabed-mounted echosounder. – ICES Journal of Marine Science, 66: 388–395. A seabed-mounted, upwards-pinging echosounder was used to study fish activity and pelagic dispersion in relation to fish size, light, and temperature. Four phases (day, dusk, night, dawn) in fish dispersion were distinguished over the diel cycle, and the swimming speed of fish varied among these phases. Notably, average swimming speed by day was twice as high as by night. For all phases combined, fish size, light intensity, and temperature explained 52% of the variability in swimming speed. When different phases were analysed separately, fish size was the most important variable by day, whereas light had the strongest effects on swimming speed in the evening. During the mornings, variability in swimming speed was best correlated with temperature, but by night all factors (fish size, light intensity, temperature) had similar effects on activity. These results have implications for fish bioenergetics models. Such models should account for seasonal, light-driven cycles in activity-induced respiration estimates, in particular when modelling populations at high latitudes.

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