# BioFirm Simulation Configuration

simulation:
  duration: 1000  # Time steps
  time_step: 0.1  # Time step size
  spatial_resolution:
    local: 0.1
    regional: 1.0
    biome: 10.0
  noise_levels:
    ecological: 0.05
    climate: 0.02
    social: 0.08
  intervention_frequency: 10
  random_seed: 42

temporal_hierarchy:
  micro:
    scale: 0.1
    processes: ["metabolism", "behavior", "adaptation"]
    coupling_strength: 0.7
  meso:
    scale: 1.0
    processes: ["population", "community", "ecosystem"]
    coupling_strength: 0.5
  macro:
    scale: 10.0
    processes: ["evolution", "succession", "climate"]
    coupling_strength: 0.3

spatial_hierarchy:
  local:
    scale: 0.1
    entities: ["individual", "patch", "habitat"]
    interaction_range: 0.2
  regional:
    scale: 1.0
    entities: ["population", "landscape", "biome"]
    interaction_range: 2.0
  biome:
    scale: 10.0
    entities: ["metacommunity", "ecoregion", "biosphere"]
    interaction_range: 20.0

intervention_strategies:
  ecological:
    restoration_targets: ["biodiversity", "ecosystem_function", "habitat_quality"]
    implementation_rate: 0.1
    monitoring_frequency: 5
    risk_tolerance: 0.3
    weight: 1.0
  climate:
    intervention_types: ["emission_reduction", "carbon_sequestration", "adaptation"]
    implementation_rate: 0.05
    monitoring_frequency: 10
    uncertainty_threshold: 0.2
    weight: 1.0
  social:
    intervention_areas: ["education", "policy", "technology"]
    implementation_rate: 0.08
    monitoring_frequency: 7
    community_threshold: 0.4
    weight: 1.0

visualization:
  plot_types: ["line", "heatmap", "network", "scatter"]
  update_frequency: 10
  save_format: "png"
  dpi: 300
  style: "seaborn-whitegrid"