Abstract

During the reproductive season, animals have to manage both their energetic budget and gamete stock. In particular, for semelparous capital breeders with determinate fecundity and no parental care other than gametic investment, the depletion of energetic stock must match the depletion of gametic stock, so that individuals get exhausted just after their last egg is laid and fertilized. Although these budgets are managed continuously, monitoring the dynamics of mating acts and energy expenditure at a fine temporal scale in the wild is challenging. This study aimed to quantify the individual dynamics of spawning acts and the concomitant energy expenditure of female Allis shad ( Alosa alosa ) throughout their mating season. Using eight individual-borne accelerometers for one month, we collected tri-axial acceleration, temperature, and pressure data that we analysed to i) detect the timing of spawning acts, ii) estimate energy expenditure from tail beat frequency and water temperature, and iii) monitor changes in body roundness from the position of the dorsally-mounted tag relative to the vertical plane. Female shad had a higher probability to spawn during warmer nights, and their spawning acts were synchronized (both individually and inter-individually) within each active night. They experienced warmer temperature, remained deeper, swan more slowly and spent less energy during daytime than night time. Over one month of spawning, they performed on average 15.75 spawning acts, spent on average 6 277 kJ and died with a significant portion of residual oocytes. The acceleration-based indicator of body roundness was correlated to condition coefficient measured at capture, and globally decreased through the spawning season, although the indicator was noisy and was not correlated to changes in estimated energy expenditure. Despite significant individual variability, our results indicate that female shad exhausted their energetic stock faster than their egg stock. Water warming will increase the rate of energy expenditure, which might increase the risk that shad die with a large stock of unspent eggs. Although perfectible, the three complementary analyses of acceleration data are promising for in situ monitoring of energy expenditure related to specific behaviour.

Highlights

  • The energy acquired by living organisms is allocated to survival and reproduction, and natural selection is expected to favour optimal allocation, resulting in life-histories that maximize Darwinian fitness in the environment where evolution occurs (Pianka 1976; Stearns 1992; Roff 1993)

  • The schedule of breeding events and the dynamics of energy expenditure during the breeding season, which may be pronounced in semelparous capital breeders, is a crucial aspect of reproductive strategy

  • We used acceleration data to quantify the dynamics of spawning acts, energy expenditure and slimming of female Allis shad throughout their spawning season

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Summary

Introduction

The energy acquired by living organisms is allocated to survival and reproduction, and natural selection is expected to favour optimal allocation, resulting in life-histories that maximize Darwinian fitness in the environment where evolution occurs (Pianka 1976; Stearns 1992; Roff 1993). When adult survival is low compared to juvenile survival, extreme reproductive effort (in gametogenesis, mating behaviour and parental care) can be selected and semelparity may arise, in which individuals die after their first and only breeding season. Semelparity is often accompanied with capital breeding, so that reproduction relies on energy reserves constituted before the breeding season (Bonnet et al 1998). Semelparity is sometimes quoted as “big bang reproduction”, its broad definition encompasses cases where individuals breed in several bouts within a breeding season (Kirkendall & Stenseth 1985; Hughes 2017). The schedule of breeding events and the dynamics of energy expenditure during the breeding season, which may be pronounced in semelparous capital breeders, is a crucial aspect of reproductive strategy

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