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. 2019 Oct 24;10:4455. doi: 10.1038/s41467-019-12479-w

Table 2.

Statistical tests of intraspecific relationships between phenology and abundance change

Dependent variable Independent variable Data subset Interacting covariates n AIC Marginal R2 Effect size (s.e.) Χ2 (P)
Change in abundance Change in emergence date Full data set Voltinism 1677 −5255.4 0.028 9.18 (0.002)
Voltinism∗ Class 1677 −5261.4 0.032 0.17 (0.679)
Univoltine species 1038 −3182.7 0.000 −0.00 (0.00) 0.02 (0.886)
Class 1038 −3179.4 0.002 0.81 (0.368)
Univoltine habitat specialists 99 −254.9 0.007 0.01 (0.02) 0.59 (0.441)
Univoltine wider-countryside generalists 939 −2933.2 0.0001 −0.00 (0.00) 0.13 (0.723)
Multivoltine species 639 −2029.7 0.074 0.01 (0.00) 57.50 (<0.001)
Class 639 −2086.9 0.084 0.006 (0.938)
Multivoltine habitat specialists 14 −32.46 0.002 0.01 (0.04) 0.06 (0.800)
Multivoltine wider-countryside generalists 625 −1995.7 0.078 0.01 (0.00) 58.63 (<0.001)
Multivoltine species (increasing abundance) 295 −903.9 0.068 0.01 (0.00) 21.46 (<0.001)
Multivoltine species (declining abundance) 344 −1162.7 0.091 0.01 (0.00) 33.80 (<0.001)

An overall model was constructed in each case with species as a random effect, and with voltinism as an interacting covariate if indicated. Significance of each model was tested using a likelihood ratio test, and tests that had statistical significance (P < 0.05) are indicated in bold