plot_growth_temperature_sensitivity: Plot sensitivity analysis

In fb4package: 'Fish Bioenergetics 4.0' Model Implementation with High-Performance 'TMB' Backend

Plot sensitivity analysis

Description

Creates sensitivity analysis plots for temperature and feeding effects.

Usage

plot_growth_temperature_sensitivity(
  sensitivity_data,
  temperatures = seq(5, 20, by = 2),
  feeding_levels = c(0.5, 0.75, 1),
  species = NULL,
  ylim = NULL,
  xlim = NULL,
  colors = "grayscale",
  verbose = FALSE,
  ...
)

Arguments

sensitivity_data	Data frame from analyze_growth_temperature_sensitivity
temperatures	Temperature values to test
feeding_levels	Feeding levels to test
species	Optional species name for plot title
ylim	Optional y-axis limits
xlim	Optional x-axis limits
colors	Color scheme
verbose	Show progress messages
...	Additional arguments

Value

Called for its plotting side-effect. Invisibly returns NULL.

Examples

data(fish4_parameters)
sp   <- fish4_parameters[["Oncorhynchus tshawytscha"]]$life_stages$adult
info <- fish4_parameters[["Oncorhynchus tshawytscha"]]$species_info
bio  <- Bioenergetic(
  species_params     = sp,
  species_info       = info,
  environmental_data = list(
    temperature = data.frame(Day = 1:30, Temperature = rep(12, 30))
  ),
  diet_data = list(
    proportions = data.frame(Day = 1:30, Prey1 = 1.0),
    energies    = data.frame(Day = 1:30, Prey1 = 5000),
    prey_names  = "Prey1"
  ),
  simulation_settings = list(initial_weight = 100, duration = 30)
)
bio$species_params$predator$ED_ini <- 5000
bio$species_params$predator$ED_end <- 5500
sens_data <- analyze_growth_temperature_sensitivity(
  bio_obj         = bio,
  temperatures    = c(10, 14),
  p_values        = c(0.4, 0.7),
  simulation_days = 30,
  verbose         = FALSE
)
plot_growth_temperature_sensitivity(sens_data, species = "Chinook")

fb4package documentation built on May 8, 2026, 1:07 a.m.