Table 1. Probability distributions for factors used in ABM simulations.
Factor Name | Factor Description | Probability Density Function |
RETIREMENT | Primary operator retired from farming (0 -retired, 1- working). | D = {(0,.06), (1,.94)} |
PRODUCTION | Total value of production on a farm (normalized). | D = {(0,0), (.2,.06), (.4,.06), (.6,.11), (.8,.15),(1,.62)} |
TENURE | Ratio of owned to operated acres. | D = {(0,.04), (.2,.14), (.4,.18), (.6,.14), (.8,.15),(1,.35)} |
DE | Extent of FA's neighborhood used to calculate the density of enrollment in FA's geographic vicinity. | U = {.5 km to 1.5 km with increments of 100 m, with equal probability of selection} |
OWA | FA decision rule based on ordered weighted averaging, with varying attitudinal character i.e. the level of “orness” [81]. | D = {17 combinations with equal probability} |
LAND | Fraction of parcel to set aside for conservation. | U = (0, 1] |
BID | Voluntary reduction by the farmer of the offer value below the maximum payment rate. | D = {0% to 16% of offer reduction with increments of 1, with equal probability of selection} |
EBI | Environmental benefits index dataset. | D = {6 layers with equal probability} |
n | Number of offers (contracts) accepted annually by FSA. | D = {18 to 28 with increments of 1, with equal probability of selection} |
U - uniform distribution, D - discrete distribution (value, probability). All factors were normalized to [0.0, 1.0]. All data are for CRP sign-up 41 in 2010 [108].