scholarly journals Main potential drivers of trout population dynamics in bypassed stream sections

2016 ◽  
Vol 26 (3) ◽  
pp. 336-346 ◽  
Author(s):  
Laurence Tissot ◽  
Victor Bret ◽  
Hervé Capra ◽  
Philippe Baran ◽  
Véronique Gouraud
Keyword(s):  
Population Dynamics ◽  
Trout Population

Annual spawning migrations in modelling brown trout population dynamics inside an arborescent river network

2000 ◽  
Vol 133 (1-2) ◽  
pp. 15-31 ◽  
Author(s):  
S. Charles ◽  
R. Bravo De La Parra ◽  
J.-P. Mallet ◽  
H. Persat ◽  
P. Auger
Keyword(s):  
Population Dynamics ◽  
Brown Trout ◽  
River Network ◽  
Trout Population ◽  
Brown Trout Population

scholarly journals Modeling salmon lice effects on sea trout population dynamics using an individual-based approach

2021 ◽  
Author(s):  
RD Hedger ◽  
OH Diserud ◽  
B Finstad ◽  
AJ Jensen ◽  
DK Hendrichsen ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Sea Trout ◽  
Trout Population ◽  
Salmon Lice

The influence of hydrological and biotic processes on brown trout (Salmo trutta) population dynamics

2002 ◽  
Vol 59 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Franck Cattanéo ◽  
Nicolas Lamouroux ◽  
Pascal Breil ◽  
Hervé Capra
Keyword(s):  
Population Dynamics ◽  
Brown Trout ◽  
Salmo Trutta ◽  
Growth Period ◽  
Intraspecific Interactions ◽  
Emergence Period ◽  
Trout Population ◽  
Brown Trout Salmo Trutta ◽  
High Flows ◽  
Survival Mechanisms

Hydrological and biotic forces constrain brown trout (Salmo trutta) population dynamics, but tests of their role across numerous streams are uncommon. In 30 French stream reaches, using 5–8 samples (1 per year) each, we investigated whether the year-to-year seasonal hydrology influenced annual trout densities within reaches, and whether the relationships were shared by all reaches. We also searched for intraspecific interactions between and within cohorts. Trout data were age class (0+, 1+, and adults) densities. For each year, hydrology was described using 13 variables, each computed for a reproduction, emergence, and growth period related to the biological cycle of trout. We used analyses of covariance (ANCOVA) to test how trout densities at year n – 1 and hydrology at year n influenced trout densities at year n. High flows during emergence significantly reduced the 0+ densities, consistently across the 30 reaches. Then, 1+ and adult densities were linked, respectively, to 0+ and 1+ densities from the previous year. Analyses also revealed density-dependent survival mechanisms for the 0+ cohort, suggesting intracohort competition. Therefore, hydrology constrains trout dynamics only during the critical emergence period, after which intracohort interactions regulate the 0+ density. Such mechanisms, validated across 30 environmentally different reaches, seem to be fundamental to trout population dynamics.

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