Analyze growth rate sensitivity to temperature and feeding levels — analyze_growth_temperature

Analyzes how growth rates respond to different temperature and feeding level combinations. Uses p-values (proportion of maximum consumption capacity) to simulate feeding scenarios from survival levels (p ~0.2) to maximum capacity (p = 1.0). Parallelized for efficiency.

Usage

analyze_growth_temperature_sensitivity(
  bio_obj,
  temperatures = seq(8, 18, by = 2),
  p_values = seq(0.3, 1, by = 0.1),
  simulation_days = 365,
  oxycal = 13560,
  parallel = FALSE,
  n_cores = NULL,
  verbose = TRUE
)

Arguments

bio_obj: Bioenergetic object containing species parameters and environmental data
temperatures: Vector of temperatures to test in °C (default: 8-18°C by 2°C steps)
p_values: Vector of p-values representing feeding levels as proportion of Cmax (default: 0.3-1.0)
simulation_days: Number of days to simulate (default: 365)
oxycal: Oxycalorific coefficient in J/g O2 (default: 13560)
parallel: Use parallel processing (default: FALSE)
n_cores: Number of cores for parallel processing (default: detectCores() - 1)
verbose: Show progress information (default: TRUE)

Examples

if (FALSE) { # \dontrun{
# Basic sensitivity analysis
results <- analyze_growth_temperature_sensitivity(bio_obj)

# Custom parameter ranges for cold water species
results <- analyze_growth_temperature_sensitivity(
  bio_obj,
  temperatures = seq(4, 14, by = 2),
  p_values = seq(0.2, 0.9, by = 0.1)
)
} # }