Science Advisor - Climate Change Science
(Research Scientistπ¨βπ¬)
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Atlantic salmon population dynamics & cleaning up historical datasets π π
R aficionado π₯οΈ
Cat parent ππββ¬
Occasional artist π¨ποΈ
342 ppm
All views are my own
Guillaume Dauphin
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However, end-of-season size itself showed a negative relationship with density (classic competition signal) and no clear link with temperature or discharge at this scale.
6/9
Bottom line:
Trends align with warming expectations, but explicit growthβtemperature links are hard to detect at broad spatiotemporal scales, and other factors may dominate locally.
7/9
Guillaume Dauphin
Guillaume Dauphin
Takeaway message:
Track age-specific size at seasonβs end and density alongside temperature; divergent river responses mean place-based strategies will be crucial.
8/9
Authors: J-M Matte, G. Dauphin, C Breau, C-A Gillis, I. Hani, N. Bergeron, A. St-Hilaire
@DFO @INRS @CIRSA @GINU ππ
9/9
Why the divergence?
Likely regional temperature differences relative to optimal growth temperatures: the warmer Miramichi may exceed optima more often than the cooler Restigouche.
4/9
We developed a novel age-structured hierarchical model extending VBGF: adds environmental covariates and allows winter growth cessation to vary by age class.
2/9
Surprise:
Adding temperature, density, and discharge to the growth-rate (K) parameter didnβt improve VBGF fit. Parameter interactions and scale likely matter.
5/9
Guillaume Dauphin
Guillaume Dauphin
Guillaume Dauphin
Scale methods vary widely across labs. Thatβs a problem for comparability, training, and AI tools.
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