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Related Concept Videos

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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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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...
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IBSEM: An Individual-Based Atlantic Salmon Population Model.

Marco Castellani1, Mikko Heino2, John Gilbey3

  • 1Institute of Marine Research, P.O. Box 1870, Nordnes, N-5817, Bergen, Norway; School of Mechanical Engineering, University of Birmingham, B15 2TT, Birmingham, United Kingdom.

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|September 19, 2015
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This study introduces an Individual-Based Salmon Eco-genetic Model (IBSEM) to simulate Atlantic salmon population dynamics. The model accurately predicts population changes and evolutionary equilibrium, crucial for understanding wild salmon facing genetic introgression.

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Area of Science:

  • Population Ecology
  • Evolutionary Genetics
  • Conservation Biology

Background:

  • Ecology and genetics significantly impact individual and population fates.
  • Few models integrate ecological and genetic factors for populations facing admixture.
  • Atlantic salmon populations require models to address gene flow from non-local and domesticated sources.

Purpose of the Study:

  • To develop an Individual-Based Salmon Eco-genetic Model (IBSEM) for simulating demographic and genetic changes in Atlantic salmon.
  • To model the entire life cycle of Atlantic salmon populations, incorporating environmental variables and individual genotypes.
  • To assess the evolutionary trajectory of wild salmon populations under admixture scenarios.

Main Methods:

  • Developed an Individual-Based Salmon Eco-genetic Model (IBSEM).
  • Simulated key life-cycle processes (growth, mortality, maturation) using stochastic procedures influenced by environmental data and individual genotypes.
  • Parameterized the model using empirical data from a wild Norwegian river population.

Main Results:

  • The IBSEM reliably reproduced the characteristics of the wild salmon population.
  • In the absence of farmed salmon, modelled populations reached an evolutionary equilibrium resembling a 'wild' genotype.
  • Model sensitivity analyses explored fitness differences between farm and wild salmon and the role of straying in mitigating gene introgression.

Conclusions:

  • IBSEM effectively captures evolutionary forces shaping wild salmon life history.
  • The model can predict population responses to environmental and genetic stressors, including admixture.
  • Results highlight the importance of integrating ecological and genetic factors in population modeling for conservation.