Science Inventory

Incorporating Temperature-driven Seasonal Variation in Survival, Growth, and Reproduction Models for Small Fish

Citation:

RAIMONDO, S. Incorporating Temperature-driven Seasonal Variation in Survival, Growth, and Reproduction Models for Small Fish. MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe, Germany, 469:101-112, (2012).

Impact/Purpose:

Simulation study to evaluate the influence of temperature-mediated effects on growth, reproduction, and survival of small fish population models

Description:

Seasonal variation in survival and reproduction can be a large source of prediction uncertainty in models used for conservation and management. A seasonally varying matrix population model is developed that incorporates temperature-driven differences in mortality and reproduction for the small fish species, the sheepshead minnow (Cyprinodon variegatus). A temperature-dependent growth rate function is developed for the von Bertalanffy constant, K, measured at various temperatures and fit to a logistic curve. The value of K at each temperature estimates duration of mobile life stages. Stage-specific mortality is modeled as a power function of size that includes a temperature-dependent modification for extraneous ecological factors such as predation. Seasonal reproduction is described through temperature-dependent functions of embryo survival and stage duration. Model sensitivity analysis indicates that the largest influences on population growth rate are K and maturation size. Cessation of reproduction at lower temperatures is also a critical driver of population growth rate. Population projections used either seasonal temperature patterns or a constant temperature for 16 hypothetical populations and demonstrated the potential for long-term error propagation in population projection using constant rates. Models used for conservation and management should employ realistic temporal resolution that will allow for seasonal effects of temperature on growth, reproduction, and survival to be incorporated into population projections.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:11/26/2012
Record Last Revised:03/19/2013
OMB Category:Other
Record ID: 240091