Table 2.
Effects of warming and predation on prey coexistence based on generalized linear models (with binomial errors and logit link function). (The bold values indicate statistically significant effects (p < 0.05). coef. stands for regression coefficients of generalized linear models. The 95% confidence intervals (CIs) that do not overlap zero are statistically significant. Warming is used as a linear term (levels = 0, 1 and 2). HM, Hypoaspis miles; HA, Hypoaspis aculeifer.)
treatments | prey coexistence |
|||
---|---|---|---|---|
coef. | 95% CI | z-value | p-value | |
intercept | −2.59 | −6.94, 1.28 | −1.29 | 0.19 |
warming (W) | 3.56 | −0.36, 8.10 | 1.70 | 0.08 |
predator (P) | 2.36 | −0.08, 5.64 | 1.74 | 0.08 |
W × P | −3.23 | −6.79, −0.55 | −2.12 | 0.03 |
presence of HM | 0.86 | −1.07, 2.80 | 0.87 | 0.38 |
presence of HA | 0.52 | −1.89, 3.72 | 0.40 | 0.68 |