Related Experiment Video
Updated: Jul 3, 2026

07:37
Resurrection of Dormant Daphnia magna: Protocol and Applications
Published on: January 19, 2018
18.4K
Tracing growth patterns in cod (Gadus morhua L.) using bioenergetic modelling
Steffen Funk1, Nicole Funk1, Jens-Peter Herrmann1
1Institute of Marine Ecosystem and Fishery Science, Centre for Earth System Research and Sustainability (CEN) University of Hamburg Hamburg Germany.
Ecology and Evolution
|November 29, 2023
Summary
A new bioenergetic model for Western Baltic cod (Gadus morhua) accurately simulates growth. This model explains how warming waters negatively impact cod growth, offering insights for fisheries management.
Area of Science:
- Fisheries Science
- Ecosystem-based Management
- Climate Change Impact
Background:
- Accurate fish growth estimation is vital for fisheries management.
- Traditional methods like otolith readings and tag-recapture have limitations.
- Bioenergetic modeling offers an alternative for understanding fish growth dynamics.
Purpose of the Study:
- To develop an individual-based bioenergetic model for Western Baltic cod (Gadus morhua).
- To investigate the effects of environmental changes, particularly warming, on cod growth.
- To provide insights into climate change impacts on commercially important fish species.
Main Methods:
- Developed an individual-based bioenergetic model for Western Baltic cod.
- Integrated in-situ data on spatial distribution and feeding behavior.
- Incorporated laboratory-derived physiological data (gastric evacuation, consumption, etc.).
Main Results:
- The model successfully reproduced observed seasonal growth patterns in the field.
- The model explained the detrimental effects of summer heat periods on cod growth.
- Simulations highlighted a mechanism for climate change-induced growth reduction.
Conclusions:
- Bioenergetic modeling is a reliable tool for assessing fish growth and environmental impacts.
- Warming waters pose a significant threat to Western Baltic cod growth.
- Findings have implications for managing similar fish populations in changing climates.
Related Concept Videos
Trophic Efficiency
Trophic level transfer efficiency (TLTE) is a measure of the total energy transfer from one trophic level to the next. Due to extensive energy loss as metabolic heat, an average of only 10% of the original energy obtained is passed on to the next level. This pattern of energy loss severely limits the possible number of trophic levels in a food chain.
Oxygen Requirements and Growth Patterns
Microorganisms exhibit diverse oxygen requirements and growth patterns driven by their metabolic strategies and environmental adaptations. Oxygen, while essential for many organisms, can also be toxic under certain conditions, shaping how microorganisms grow and survive.Oxygen Requirements of MicroorganismsMicroorganisms are classified based on their ability to use or tolerate oxygen:● Obligate aerobes like Mycobacterium tuberculosis need oxygen for energy production, as it serves as the...
Growth Models with Integration: Problem Solving
In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
Derivatives: Problem Solving
Temperature-Dependent Growth of Brook TroutThe growth of brook trout is closely influenced by water temperature. Experimental data demonstrate how trout weight changes over a 24-day period in response to varying water temperatures. At lower temperatures, such as 15.5 degrees Celsius, brook trout show significant weight gain. However, as the temperature increases, the amount of weight gained steadily decreases. At the highest temperature measured, 24.4 degrees Celsius, trout experience a net...

