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. 2019 Jul 22;29(7):e01960. doi: 10.1002/eap.1960

Table 1.

A test for lag effects of changes in functional connectivity on changes in population sizes for eight waterfowl species, showing the performance of the best models and regression coefficients for predictors included in these models

Model Coefficient Standard error z P
Lag 1 (N = 112, BIC = 319.9)
(Intercept) 0.175 0.253 0.691 0.490
Changes in functional connectivity 0.235 0.100 2.359 0.018*
Lag 2 (N = 112, BIC = 319.4)
(Intercept) 0.175 0.253 0.693 0.488
Changes in functional connectivity 0.245 0.098 2.494 0.013*
Lag 3 (N = 112, BIC = 318.9)
(Intercept) 0.175 0.250 0.699 0.484
Changes in functional connectivity 0.254 0.095 2.674 0.007*
Lag 4 (N = 112, BIC = 318.8)
(Intercept) 0.175 0.249 0.703 0.482
Changes in functional connectivity 0.257 0.094 2.749 0.006*
Lag 5 (N = 112, BIC = 319.1)
(Intercept) 0.176 0.249 0.705 0.481
Changes in functional connectivity 0.252 0.094 2.668 0.008*
Lag 6 (N = 112, BIC = 319.2)
(Intercept) 0.177 0.250 0.708 0.479
Changes in functional connectivity 0.249 0.093 2.677 0.007*
Lag 7 (N = 112, BIC = 321.9)
(Intercept) 0.173 0.252 0.688 0.492
Changes in functional connectivity 0.185 0.101 1.824 0.07

Notes: The lag periods for measuring changes in functional connectivity are in units of years, i.e., in the model Lag 1, changes in functional connectivity were measured by the change 1 yr before the corresponding population count. The number of lags represents the changes in functional connectivity over the number of years.

*

The estimated regression coefficient was significant at P ≤ 0.05.