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
Scenario
Heavy harvest
Light harvest
No harvest
Interaction 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 hectares
Baseline
Socioeconomic
Biophysical
Interaction effect
F
Heavy harvested
123.0 (73.2),
122.0 (75.7),
116.5 (52.6),
0.65
0.522
Light harvested
41.2 (38.5),
37.0 (34.5),
31.3 (32.9),
4.98
0.007
Combined harvested
164.2 (76.6),
159.0 (81.5),
147.8 (66.3),
3.14
0.044
(c) MANOVA: fiscal goal score change by scenario, run, year, action, and interactions ()
Interaction effect
F
ρ
Scenario
17.988
0.000
Run
0.297
0.976
Year
23.763
0.000
Action
875.381
0.000
Scenario * action
7.319
0.000
Scenario * year
1.795
0.001
Year * action
14.536
0.000
Run * action
1.448
0.099
(d) MANOVA: total combined hectares harvested by scenario, year, and interactions ()