State-dependent Energy Allocation in Cod (Gadus Morhua)

By C. Jørgensen, Ø. Fiksen. 2006

132 citations recorded by the source corpus.

Subfields: Aquatic Science, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/14e297269d436a4f3804176c51c0c4fe86ee0835

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In Aquatic Science

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Reproductive Timing in Marine Fishes: Variability, Temporal Scales, and Methods (2011, background): “In addition, fitness occurs at the individual level, and modeling results are increasingly indicating that individual variability in reproductive timing affects reproductive success (see James et al. 2003 ; Jorgensen and Fiksen 2006 ; Pecquerie et al.”
Energy acquisition and allocation to egg production in relation to fish reproductive strategies (2014, background): “…model designed to track lifelong energy allocation in Atlantic cod successfully predicted indeterminate somatic growth and skipped spawning, and that an energetically costly spawning migration enhanced growth and survival of propagules (Jørgensen and Fiksen 2006; Jørgensen et al. 2006, 2008).”
The logic of skipped spawning in fish (2006, background): “Implications for estimating and using stock–recruit relationships The frequency of skipped spawning predicted by our model has consequences for stock–recruit relationships whenever the mature part of the population is used to predict recruitment (Jørgensen and Fiksen 2006).”
Natural mortality: Its ecology, how it shapes fish life histories, and why it may be increased by fishing☆ (2013, methodology): “The threshold mortality has often been used in life history models for fish (e.g. Hutchings, 1999, 2005; Jørgensen and Fiksen, 2006), whereas a trade-off between the intensity of reproduction and survival has a long history in life history theory (Gadgil and Bossert, 1970; Williams, 1966).”
Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers (2016, background): “Organism: Trait-based models can incorporate considerable detail on organism-level 495 processes such as growth, foraging, reproduction and basal metabolism, modelling 496 organismal trade-offs via energy allocation (Jørgensen and Fiksen, 2006).”