Simulated Influences of Hatching-Date Dependent Survival on Year Class Composition and Abundance

  • W.Rogers M
  • S.Allen M
N/ACitations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

Juvenile fish survival is often strongly density dependent and results in relatively consistent average recruitment over a wide range of spawning stock biomasses. Hatching date-dependent mortality can limit contributions of individual hatching sub-cohorts (i.e., fish hatched in one period relative to another within the overall hatching distribution) to the year class and influence the potential for compensatory survival. We used trophic-based ecosystem models to evaluate effects of hatching date-dependent survival on the potential for compensation and regulation of year class strength and adult biomass by simulating variable early-life mortality. We built one model using data for north Florida lakes to represent a contracted spawning distribution and one model for south Florida lakes to represent a protracted spawning distribution using data for largemouth bass Micropterus salmoides with hatching-date dependent survival. Hatching date-dependent survival strongly influenced contributions of individual hatching sub-cohorts to year classes (up to 70+% change in sub-cohort biomass), but total effects on year class strength and adult biomass were small (range-9% to +13% total biomass change). Total survival to age-1 was largely regulated by predation such that increases in individual sub-cohort survival did not result in large increases in total recruitment. Ecosystem models indicated that spawning distributions affected sub-cohort interactions to influence compensation and regulation, which had implications for understanding adult spawning periodicity and fisheries management.

Cite

CITATION STYLE

APA

W.Rogers, M., & S.Allen, M. (2014). Simulated Influences of Hatching-Date Dependent Survival on Year Class Composition and Abundance. The Open Fish Science Journal, 3(1), 169–179. https://doi.org/10.2174/1874401x01003010169

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free