Table 2. Maximum likelihood parameter estimates and model selection criteria for eight Tucson-area desertscrub species. See Table 1 for species names. † Akaike Information Criterion. Boldface indicates models considered to have “substantial empirical support,” i.e., AIC–AICbest ≤ 2. ‡ Lowest AIC value among models, indicating highest likelihood given the data after penalization for number of parameters. § Mean area under the receiver operating curve (AUC) based on 10-fold cross-validation of the best model. MLOGISTIC, MASYMP, MBILOG, and MCONSTRAINT represent the logistic, asymptote, bivariate logistic, and constraint models, respectively.

AICbest AUCbest§ Species
AIC


MLOGISTIC MASYMP MBILOG
MCONSTRAINT


340.62
0.702
GIWO
347.62
342.94
349.67
340.62
390.58
0.715
CACW
402.32
394.57
402.92
390.58
358.80
0.801
GAQU
415.33
397.70
408.90
358.80
482.25
0.578
CBTH
487.18
482.25
490.03
485.42
475.05
0.664
VERD
488.57
476.73
492.31
475.05
328.67
0.766
ATFL
333.53
333.07
328.73
328.67
290.79
0.758
PYRR
322.77
307.63
318.76
290.79
265.64
0.798
GIFL
280.53
281.59
265.64
266.85