This paper uses biophysical model based on mass transfer theory to show that there was a big discrepancy between estimated survival in the lab and estimated survival in the field. They suggested that this was due to the differences in water flow velocities between the lab and the field.
"We developed a phenomenological temperature-dependent mortality model for Chinook salmon embryos and fit to the model laboratory data to quantify the effect of temperature on survival. The model relates the temperature experienced by an embryo during the ith day of its development (Ti) to its instantaneous mortality rate (hi; d−1) with two parameters: Tcrit, the temperature below which there is no mortality due to temperature, and bT, the slope at which mortality rate increases with temperature above Tcrit: "
"The length of the development period (n, days) was modelled using a temperature-dependent maturation function (Zueg et al. 2012), where the relative developmental state at fertilisation equals 0 and increases at rate, 0.001044 (°C−1 d−1)× Ti + 0.00056 (d−1). Chinook embryos emerge when the relative developmental state exceeds 1.
Temperature-dependent mortality throughout the entire embryonic period (MT) is the product of the daily temperature-dependent survival probabilities from hatching to emergence:"
Methods (and equations) are also given for application in the lab and in the field, as well as for parameter estimation.
This paper uses biophysical model based on mass transfer theory to show that there was a big discrepancy between estimated survival in the lab and estimated survival in the field. They suggested that this was due to the differences in water flow velocities between the lab and the field.
"We developed a phenomenological temperature-dependent mortality model for Chinook salmon embryos and fit to the model laboratory data to quantify the effect of temperature on survival. The model relates the temperature experienced by an embryo during the ith day of its development (Ti) to its instantaneous mortality rate (hi; d−1) with two parameters: Tcrit, the temperature below which there is no mortality due to temperature, and bT, the slope at which mortality rate increases with temperature above Tcrit: "
"The length of the development period (n, days) was modelled using a temperature-dependent maturation function (Zueg et al. 2012), where the relative developmental state at fertilisation equals 0 and increases at rate, 0.001044 (°C−1 d−1)× Ti + 0.00056 (d−1). Chinook embryos emerge when the relative developmental state exceeds 1.
Temperature-dependent mortality throughout the entire embryonic period (MT) is the product of the daily temperature-dependent survival probabilities from hatching to emergence:"
Methods (and equations) are also given for application in the lab and in the field, as well as for parameter estimation.