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. 2014 Oct 23;9(10):e109779. doi: 10.1371/journal.pone.0109779

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].