Research Article

Agent-Based Modeling of Harvest Decisions by Small Scale Forest Landowners in Maine, USA

Table 4

Harvesting and goal score ANOVA output. Mean standard deviations (between brackets), sample size and interactions of goal score changes, and hectares harvested by scenario and action. Significant differences in means are bolded.
(a) ANOVA: scenario by action on fiscal goal score

ScenarioHeavy harvestLight harvestNo harvestInteraction effect
F

Baseline−11623710
(7398318),
−6458109
(10513934),
−377276
(7904496),
213.08 0.000
Socioeconomic−12985883
(8321021),
−7072157
(13760942),
−756019
(8462467),
194.67 0.000
Biophysical−14304978
(8265848),
−10822391
(17840793),
−605034
(8013855),
257.83 0.000

(b) One-way ANOVA: scenario on total harvested hectares, by heavy, light, and combined

Total hectaresBaselineSocioeconomicBiophysicalInteraction effect
F

Heavy harvested 123.0
(73.2),
122.0
(75.7),
116.5 (52.6),
0.650.522
Light harvested 41.2  
(38.5),
37.0
(34.5),
31.3  
(32.9),
4.980.007
Combined harvested164.2  
(76.6),
159.0
(81.5),
147.8  
(66.3),
3.140.044

(c) MANOVA: fiscal goal score change by scenario, run, year, action, and interactions ( )

Interaction effect
F ρ

Scenario17.9880.000
Run0.2970.976
Year23.7630.000
Action875.3810.000
Scenario * action7.3190.000
Scenario * year1.7950.001
Year * action14.5360.000
Run * action1.4480.099

(d) MANOVA: total combined hectares harvested by scenario, year, and interactions ( )

Interaction effect

Scenario7.1790.001
Year33.4150.000
Scenario * year4.8530.001