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matbuoro edited this page Jun 5, 2020 · 3 revisions

Welcome to the IBASAM wiki!

ibasam

What is MetaIBASAM?

MetaIBASAM is an extension of IBASAM (Individual BAsed SAlmon Model) developed with an individual-based demo-genetic structure and integrating a significant amount of knowledge on Salmo salar, to simulate a set of population.

What is MetaIBASAM’ goal?

MetaIBASAM is a cohesive and novel tool to assess the effect of potential stressors on evolutionary demography of Atlantic salmon. It includes a demo-genetic structure coupled with the explicit representation of individual variability, complex life histories, and allows dispersal between populations.

How does MetaIBASAM work?

To enhance realism, IBASAM has been developed in the framework of pattern-oriented modelling with multiple patterns validation at population levels using specific data collected over 15 yrs on the Scorff river, France. The genetic transmission of traits is included to allow evolutionary changes in Atlantic salmon life history.

Please see model description for full explanations, graphics of some of the mathematical functions used and code.

How to use MetaIBASAM?

The MetaIBASAM model was developed in C++ and interfaced as a shared library for R (R Development Core, 2010) to make easy the statistical analyses of model outputs. The C++ source codes and R scripts to create and use the model as R package are available online on Github. More detailed explanations are provided here:

Installation procedure

How to Use

How to contribute to MetaIBASAM?

Contribution guidelines for this project

Contents of the folder

References

Piou, C., Taylor, M. H., Papaïx, J., & Prévost, E. (2015). Modelling the interactive effects of selective fishing and environmental change on Atlantic salmon demogenetics. Journal of Applied Ecology, 52(6), 1629-1637. Link

Piou, C., Prévost, E. (2013). Contrasting effects of climate change in continental vs. oceanic environments on population persistence and microevolution of Atlantic salmon. Global Change Biology, 19 (3) : 711-723. Link

Piou, C. & Prévost, E. (2012) A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity. Ecological Modelling, 231, 37–52. Link

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