Parameters.txt

SimSimba2007 Parameters

// THESE PARAMETERS ARE SET FOR SIMSIMBA DISEASE 

// used for scripting to keep track of parameter sets
Scenario = 1


// Simulation type
// SOLO - run the simulation using leopard behaviors
// GROUP - run the simulation using lion behaviors

SimType = GROUP


// -------------------------------------------
// Population Parameters 
// -------------------------------------------

MaxAge = 16

// max females per group
// for lion set to =~ 6, for leopard set to = 1
FemaleMax = 5

// max males per group
// for lion set to =~ 10, for leopard set to = 1
MaleMax = 10


// -------------------------------------------
// Age Categories
// -------------------------------------------

// can have up to 4 cub age categories
// Cub1Age is implied to begin at age 0
// for lions set = 0.5, 1
// for leopards set = 0.5
Cub2Age = 0.5
Cub3Age = 1.0

// for lions set = 2.0 for both
// for leopards set = 1.5 for both
SubadultMaleAge = 2.0
SubadultFemaleAge = 2.0

// for lions set = 2.5, male, 3.0 female
// for leopards set = 2.5 male, 3.0 female
MaleReproduceAge = 3.5
FemaleReproduceAge = 3.5

// subadult males stay with mom until reach reproductive age. then they
// can look X spots away to find something open. if no open, stay w/
// mom. Once turn adult, they can wander off
// subadult females start looking for own territories immediately 
// upon becoming subadult. If not, they can stay with mom until
// become reproductive. then they must disperse or become "wandering"

// for lions set = 4.0 for both
// for leopards set = 3.5 for both
AdultMaleAge = 5.0
AdultFemaleAge = 5.0



// -------------------------------------------
// Background Survivorship Parameters
// -------------------------------------------

SurviveCub1 = 0.707
SurviveCub2 = 0.775
SurviveCub3 = 0.906
SurviveSubadultMale = 0.877
SurviveSubadultFemale = 0.964
SurviveResidentMale = 0.949
SurviveNomadicMale = 0.949
SurviveAdultFemale = 0.929

SurviveEvictedMale = 0.949

// ignored for leopards
SurviveOrphan = 0.500

// set to 0 to immediately kill off females who can't find a territory
SurviveHomelessFemale = 0.5



// -------------------------------------------
// Fighting Survivorship Parameters
// -------------------------------------------

// Fighting Infanticide Survivorship 
SurviveTakeoverCub1 = 0.01
SurviveTakeoverCub2 = 0.25
SurviveTakeoverCub3 = 0.65

// Defending Female survivorship
SurviveDefendingFemale = 0.9

// Fighting Male survivorship
SurviveDefendingMaleWins = 0.97
SurviveDefendingMaleLoses = 0.40
SurviveAttackingMaleLoses = 0.50
SurviveAttackingMaleWins = 0.97



// -------------------------------------------
// Reproduction Parameters
// -------------------------------------------

// East Africa: 1=0.19, 2=0.35, 3=.33, 4=0.13

LitterSize1 = 0.05
LitterSize2 = 0.05
LitterSize3 = 0.75
LitterSize4 = 0.15
CubMale = 0.5

// ignored for leopards
CubAbandoned = 0.7



// -------------------------------------------
// Territory Parameters
// -------------------------------------------

// for lions set = 3, for leopards = 5
NomadMoves = 3

// Number of territories away subadults can look away from mom's territory
// for lions set = 1, for leopards = 2
SubadultMaleMoves = 1;


// Territories

// format = ResidentTakes [#] [ONLY/ORMORE] males take [#] territories
//          with a chance of [%], when they already have one fewer.
//          So for example, to say that a group of 3 males (only) can
//          take a second territory when they already have one with
//          a 33% chance, write:
//          
//          ResidentTakes 3 ONLY 2 0.33
// 

// lions
ResidentTakes = 2 ONLY 2 0.0001
ResidentTakes = 3 ORMORE 2 0.33
ResidentTakes = 3 ORMORE 3 0.01

//ResidentTakes = 4 ORMORE 2 0.75
//ResidentTakes = 4 ORMORE 3 0.33

// Nomad Coalitions
NomadJoins1Resident = 0.50
NomadJoins1Nomad = 1.00
NomadJoins2Nomads = 0.20

// Dispersal of Subadult Females
FemaleMoves2 = 0.80
FemaleMoves3 = 0.30
FemaleMoves4 = 0.15
FemaleMoves5 = 0.10


// -------------------------------------------
// Hunting Parameters
// -------------------------------------------

// hunting = ANNUAL or BIANNUAL. The quota is per this specification
TrophyHunt = BIANNUAL
TrophyQuota = 0
TrophyMinAge = 20

// error rate in sexing trophy
// set to = 0.286 for leopards, 0 for lions
TrophySexError = 0.0

SwitchStrategy = -1


// -------------------------------------------
// Land Loss Parameters
// -------------------------------------------

// lose this fraction of original number of territories
LandLossFraction = 0.0

// loss over this period of time (in years)
LandLossTime = 10

// method of land loss. Options are EDGES or RANDOM
LandLossType = RANDOM


// -------------------------------------------
// Disease Parameters 
// -------------------------------------------


// initial years with no disease
NoDiseaseYears = 25

// chance per timestep of transitioning from E to I
// (To get mean time in E in years, invert and divide by 2)
EtoIRate = 0.4

// chance per timestep of transitioning from I to dead
// (To get mean time in I in years, invert and divide by 2)
ItoDeadRate = 0.8

// disease fecundity factor - fraction of infectious reproductive females that
// give birth (at all) in a given timestep
DiseaseFucundity = 1

// Transmission rate from mom to cub in first year
MaternalTransmission = 0

// Transmission rate between lions
LionTransmission = 0.028485107421875

// Probability of enountering a nearby non-pride lion
OutgroupEncounter = 0.4776611328125

// Transmission rate from buffalo, assuming buffalo is infectious
FoodTransmission = 0.21099853515625

// Food/buffalo disease progression type. CONSTANT means that the rates
//   set in the .simba file will be used for the whole simulation.
//   LOGISTIC means that the number in the .simba file will represent the
//   time step in which disease starts in that territory, and it will
//   increase logistically according to this formula:
//   P(t) = 0.67 / (1 + e^-t) 

FoodDiseaseProgression = LOGISTIC



// -------------------------------------------
// Fighting Parameters
// -------------------------------------------

// Fight Matrix - attackers are along x-axis, defenders along y-axis
// age starts with 1 and goes to 10
Fight Matrix
1.40 1.40 1.40 1.90 0.65 0.70 0.75 0.70 1.00 1.00
1.40 1.40 1.40 1.90 0.65 0.70 0.75 0.70 1.00 1.00
1.40 1.40 1.40 0.90 0.65 0.70 0.75 0.70 1.00 1.00
1.65 1.65 1.65 1.40 1.00 0.85 0.75 0.70 1.00 1.00
2.20 2.20 2.20 1.65 1.50 1.00 0.90 1.00 1.00 1.00
2.20 2.20 2.20 2.20 2.00 1.40 1.50 1.80 1.00 1.00
2.50 2.50 2.50 2.20 2.00 1.40 1.50 1.80 1.00 1.00
1.65 1.65 1.65 1.40 1.30 1.20 1.25 1.40 1.00 1.00
1.30 1.30 1.30 1.30 1.25 1.00 1.05 1.35 1.00 1.00
1.00 1.00 1.00 1.00 1.90 1.40 1.40 1.00 1.00 1.00



// -------------------------------------------
// Output statistics
// -------------------------------------------
//
// statistics types:
//
// SURVIVE - surviving lions at end of step
// HUNTED - number of lions hunted during step
// RESCOALSIZE - average number of males per resident coalition
// PRIDESIZE - average number of females per pride
// DEATHAGE - the age of death of specified lions
// DEMOGRAPHICS
// DISEASE [age+] - format is "S,E,I" for each step
// FOODINFECT
//
// If StatsType is SURVIVE, also include the following 
//    restrictions: 
//
// M = male
// F = female
//
// MIN X = with minimum age of X
// BTW X Y = between ages X and Y (inclusive)
//
// H = only in huntable territories
// P = only in non-huntable territories
//
// So, for example, if you want your statistics to show number 
// of adult females age 4 and up you would write:
//
// StatsType = SURVIVE F MIN 4.0
//
// Or, if you wanted males between the ages of 2.5 and 5 in 
// huntable territories, you'd write:
//
// StatsType = SURVIVE M BTW 2.5 5.0 H
//
// Or if you wanted all lions in non-huntable territories, 
// you'd write:
//
// StatsType = SURVIVE P
//
// If StatsType is DEATHAGE, do only 1 replicate, as each line
// is one time step and each column is a half-year of age.
// You can use the male/female and huntable/non-huntable restrictions
// with DEATHAGE. For example for males in the non-hunted area:
//
// StatsType = DEATHAGE M P 

StatsType = DISEASE