A bioenergetic model was parameterized for herring (Clupea harengus) using information available in the literature. In this model, all components of the energy budget are functions of temperature and fish weight. The model is used to simulate herring growth and consumption in a coastal area of the northern Baltic proper. Simulated seasonal growth curves restrained to fit one weight per age class are similar to observed growth curves, indicating the importance of temperature in determining herring growth rates in the Baltic. Calculated food consumption and conversion efficiencies are compared with other published estimates
The aim of this Thesis was to improve our understanding and assessment of feeding conditions for zoo...
For the period 1984 to 1991, the individual maximum daily consumption in calories (cmax) based on 3...
The present study uses bioenergetics modeling to estimate the annual consumption of the main zooplan...
The Norwegian spring-spawning (NSS) herring Clupea harengus inhabits a seasonal environment where f...
Raw data for i) heart rate measurements of Atlantic herring larvae reared at three different tempera...
How multiple stressors influence fish stock dynamics is a crucial question in ecology in general and...
Change of climate is expected to influence the energy content of fish by affecting the environmental...
A physiological individual-based model for the foraging and growth of Atlantic herring (Clupea haren...
Temperature controls the rate of all biochemical processes, and thus can significantly influence the...
An adaptation of the von Bertalanffy growth model is formulated to describe the phenotypic plasticit...
This paper represents an attempt to elucidate how fish body size differences and metabolic costs al...
Physiological measures can help to identify environmental thresholds that constrain organismal-level...
The fish model described in this paper is quite general and deals simultaneously with all fundament...
Physiological measures can help to identify environmental thresholds that constrain organismal-level...
Abstract.—We used a nutrient–phytoplankton–zooplankton (NPZ) model coupled to a fish bioenergetics m...
The aim of this Thesis was to improve our understanding and assessment of feeding conditions for zoo...
For the period 1984 to 1991, the individual maximum daily consumption in calories (cmax) based on 3...
The present study uses bioenergetics modeling to estimate the annual consumption of the main zooplan...
The Norwegian spring-spawning (NSS) herring Clupea harengus inhabits a seasonal environment where f...
Raw data for i) heart rate measurements of Atlantic herring larvae reared at three different tempera...
How multiple stressors influence fish stock dynamics is a crucial question in ecology in general and...
Change of climate is expected to influence the energy content of fish by affecting the environmental...
A physiological individual-based model for the foraging and growth of Atlantic herring (Clupea haren...
Temperature controls the rate of all biochemical processes, and thus can significantly influence the...
An adaptation of the von Bertalanffy growth model is formulated to describe the phenotypic plasticit...
This paper represents an attempt to elucidate how fish body size differences and metabolic costs al...
Physiological measures can help to identify environmental thresholds that constrain organismal-level...
The fish model described in this paper is quite general and deals simultaneously with all fundament...
Physiological measures can help to identify environmental thresholds that constrain organismal-level...
Abstract.—We used a nutrient–phytoplankton–zooplankton (NPZ) model coupled to a fish bioenergetics m...
The aim of this Thesis was to improve our understanding and assessment of feeding conditions for zoo...
For the period 1984 to 1991, the individual maximum daily consumption in calories (cmax) based on 3...
The present study uses bioenergetics modeling to estimate the annual consumption of the main zooplan...