Geoscience Reference
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Table 4.4 Response function modeling statistics for seven tree species growing near Mohonk Lake
R 2
SPECIES
CUTOFF
NEIG
EIGENVECTORS
AIC
RSQ
RE
CE
TSCA
EV1
4
3 ,9, 10 , 6
0.342
16.63
0.269
0.251
0.251
PVP
6
3 ,9, 10 , 6 ,15,18
0.413
19.37
0.248
0.111
0.110
PIRI
EV1
4
3 ,11,8, 10
0.350
17.44
0.001
0.349
0.349
PVP
5
3 ,11,19,8, 10
0.389
19.05
0.002
0,403
0.403
QUPR
EV1
8
6 , 3 , 10 ,11,13,9,7,8
0.527
28.16
0.062
0.152
0.154
PVP
11
6 , 3 , 10 ,11,13,9,15,7,8,20,19
0.610
32.22
0.159
0.079
0.081
QUVE
EV1
3
3 , 6 , 10
0.184
4.75
0.003
0.114
0.114
PVP
4
3 , 6 , 10 ,14
0.221
5.51
0.008
0.114
0.114
CAGL
EV1
2
3 , 6
0.200
8.36
0.040
0.042
0.043
PVP
5
3 , 6 ,21,14,25
0.323
12.35
0.020
0.345
0.356
LITU
EV1
3
3 , 6 , 10
0.250
10.37
0.038
0.073
0.082
PVP
5
3 ,25,15, 6 , 10
0.360
16.06
0.064
0.355
0.367
BELE
EV1
4
3 , 6 ,9, 10
0.420
24.93
0.005
0.249
0.262
PVP
9
3 , 6 ,21,9, 10 ,17,22,5,13
0.584
33.95
0.051
0.493
0.508
The tree species are eastern hemlock ( Tsuga canadensis ; TSCA), pitch pine ( Pinus rigida ; PIRI), chestnut oak ( Quercus prinus ; QUPR), black oak ( Quercus
velutina ; QUVE), pignut hickory ( Carya glabra ; CAGL), tulip poplar ( Liriodendron tulipifera ; LITU), and black birch ( Betula lenta ; BELE). The three most
important eigenvectors—#3, #6, and #10—are highlighted as bold numbers.
SPECIES
=
tree species abbreviations; CUTOFF
=
eigenvalue cutoff used to retain candidate eigenvectors; NEIG
=
number of eigenvectors entered into
list of entered eigenvectors in their order of entry; R 2
each response function model. EIGENVECTORS
=
=
cumulative fractional variance of the model;
AIC
=
Akaike information criterion; RSQ
=
square Pearson correlation; RE
=
verification reduction of error; CE
=
verification coefficient of efficiency.
Higher RSQ, RE, and CE mean better verification of the fitted model.
 
 
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