Table 1 List of model parameters, descriptions, and initial conditions for agent-based model of spotted lanternfly movement under differing scenarios.

From: Human-mediated dispersal drives the spread of the spotted lanternfly (Lycorma delicatula)

Model parameter

Description

Value(s)

Number of years (t)

Number of years (i.e., model iterations or time steps) that simulations are run for. Each time step t equals a 1-year period

13

Initial location (Lat/Long)

Spatial coordinates of a single cell where individuals are "introduced" into the landscape. This is the location where the spotted lanternfly was first detected in Berks County, Pennsylvania

40.415240°N, − 75.675340°W

Starting population size (N)

Number of individuals at model initialization

1000

Carrying capacity (K)

A deliberately large population carrying capacity to coerce exponential population growth

10^15

Intrinsic rate of growth (r)

Hypothetical population growth rate (i.e., births - deaths per generation period). This term was varied among four different values of r to tune our model among differing scenarios in comparison to observed spotted lanternfly population spread

(0.25, 0.5, 1.0, 1.5)

Environmental stochasticity term (Var)

Logistic growth model term used to add variation into estimated population sizes representing environmental stochasticity within the modeled system

unif(− 0.5, 0.5)

Mean adult survival probability (ϕ)

Survival probability for adults that is randomly drawn from a uniform distribution each time step, ranging between 0.5 and 0.9

unif(0.5,0.9)

Mean movement coefficient (q)

Parameter governing individual movement decisions: either best choice (0.99) or random (0.01) choice decisions

(0.01, 0.99)

SD movement coefficient

Standard deviation of movement coefficient to provide additional variation in behavior decisions among individuals

0.05

Human-mediated movements (h)

The maximum number of newly-established spotted lanternfly populations caused by human-mediated movement events per year (e.g., transport of egg cases or gravid adult females and subsequent successful establishment). We modeled different scenarios that consist of up to 0 (no human movement), or 3, 5, 7, and 10 new populations established at each time step drawn from a uniform distribution between 1 and either 3, 5, 7, or 10 per scenario

(0,

unif(1, 3),

unif(1, 5),

unif(1, 7),

unif(1, 10))