Table 1. Model parameters and their specifications.
Parameter | Symbol | Type* | Model | Theoretical Values | Value(s) used | Sensitivity analyses (Online supplement) | Figure |
---|---|---|---|---|---|---|---|
Gompertz coefficient | a | Fixed | All | [0,∞] | 0.08 | 0.00001, 0.0001, 0.001, 0.01, 0.1, 0.2 | S21 |
Heritability | h | Fixed | All | [0,1] | 0.95 | 1, 0.99, 0.95, 0.9, 0.8, 0.5, 0.2 | S16 |
Lag parameter in b function | γ | Fixed | All | [-∞,∞] | -2 | -10, -7, -4, -2, -1, 0 | S22 |
SD of baseline PTVs | - | Fixed | All | [0,∞] | 0.1 | 0, 0.01, 0.1, 0.2, 0.5 1, 3 | S13 |
SD of LRS | - | Fixed | All | [0,∞] | 0.1 of LRS | 0, 0.01, 0.1, 0.2, 0.5 1, 3 | S15 |
Maximum fertility per unit time | fmax | Fixed | All | [0,∞] | 1 | NA | |
Individuals per generation | - | Fixed | All | - | 10,000 | NA | |
Generations | - | Fixed | All | - | 500 | 10,000 | S12 |
Weight | W | VAS | 1 | [0,∞] | exp(N(0, 2)) | NA | |
Weight for PTV1 | W1 | VAS | 2,3,4 | [0,∞] | exp(N(0, 2)) | NA | |
Weight for PTV2 | W2 | VAS | 2,3,4 | [0,∞] | exp(N(0, 2)) | NA | |
Minimum possible aging rate | b0 | VAS | All | [0,∞] | [0,1] | NA | |
Physiological trait value | PTV | Evolving | 1 | [-∞,∞] | N(0, 0.1) & Eqn (S1) | NA | |
Physiological trait value #1 | PTV1 | Evolving | 2,3,4 | [-∞,∞] | N(0, 0.1) & Eqn (S1) | NA | |
Physiological trait value #2 | PTV2 | Evolving | 2,3,4 | [-∞,∞] | N(0, 0.1) & Eqn (S1) | NA | |
Gompertz aging rate | b | Evolving | All | [0,∞] | Eqns (3) & (5) | NA | |
Age at death | Ad | Evolving | All | [0,∞] | see text | NA | |
Fertility | f | Evolving | All | [0,∞] | Eqns (4) & (6) | NA | |
Lifetime reproductive success | LRS | Evolving | All | [0,∞] | Eqn (2) | NA |
*There are three parameter types: those fixed across all simulations except sensitivity analyses ("Fixed"), those fixed within a given simulation but varying across simulations ("VAS"), and those that evolve across generations within each simulation ("Evolving"). Evolving parameters are tracked and used to assess what happens in a simulation, while VAS parameters are changed to assess model sensitivity to their values.