An individual-based model for predicting the emergence period of sea trout fry in a Lake District stream
Authored by JM Elliott, MA Hurley
Date Published: 1998
DOI: 10.1006/jfbi.1998.0713
Sponsors:
European Union
United Kingdom Natural Environment Research Council (NERC)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
The objective of this study was to predict interannual fluctuations in
the emergence period of sea trout fry, using models developed from field
data for 70 excavated redds, and laboratory data on egg and alevin
development at 30 constant temperatures (range 1.5-10.5 degrees C with
100 naturally fertilized eggs at each temperature). Egg weight and
numbers per redd both increased with female length, a power function
described the relationship. Early spawners were the largest females
laying the largest and most numerous eggs, whilst late spawners were the
smallest females laying the smallest and least numerous eggs; middle
spawners being intermediate between these two extremes. Mean values for
egg weight and numbers of eggs per redd were obtained for these three
groups. Hatching and emergence times in the laboratory decreased with
increasing temperature. Of five models tested for hatching time, the
best fit was provided by a three-parameter hyperbolic model which formed
the basis of the individual-based model used to predict egg hatching and
fry emergence. Model development was described in detail and the final
equations predicted the times taken for 5, 50 and 95\% of the fry to
emerge, and hence the period over which 90\% of the fry emerged.
Analogous models were obtained for egg hatching. All models were
excellent fits to the laboratory data. Hatching times for eggs kept in
perforated boxes in the stream were almost identical to those kept at
similar mean temperatures in the laboratory. Model predictions of fry
emergence times were validated by field data for 8 years (1967-1971, 1974, 1975, 1980). The chief objective was therefore fulfilled, and
predictions for the 30-year study (1967-1996) revealed a large variation
in the timing of emergence (extremes: 11 March-4 April 1989, 15-20 May
1979). Most of the variation in median emergence date was due to
variations in water temperature, with spawning dates as a secondary
factor; the latter, however, had a greater effect on the length of the
emergence period. (C) 1998 The Fisheries Society of the British Isles.
Tags
growth
Atlantic salmon
Temperature
Eggs
Salar
Salmo-trutta
Hatching time