Table 1.
Component | Dependent variable | Host stand | Step | Independent variables added | Fmodel | dfmodel | dferror | SS | MSE | r2 | Fimprovement |
---|---|---|---|---|---|---|---|---|---|---|---|
Exogenous | Abundance | Peikkola | 1 | StndAge, StndAge2, StndAge3 | 610.93*** | 3 | 1321 | 1302.45 | 0.711 | 0.58 | 610.93*** |
2 | Species | 495.59*** | 4 | 1320 | 1345.36 | 0.679 | 0.60 | 63.22*** | |||
3 | Tree (Species) | 90.45*** | 27 | 1297 | 1463.78 | 0.599 | 0.65 | 8.59** | |||
4 | Species × StndAge, Species × StndAge2 | 88.45*** | 29 | 1295 | 1489.31 | 0.581 | 0.66 | 21.98*** | |||
5 | Tree × StndAge, Tree × StndAge2 | 56.37*** | 75 | 1249 | 1730.08 | 0.409 | 0.77 | 12.79*** | |||
Abundance | Valtatie | 1 | StndAge, StndAge2 | 287.19*** | 2 | 1227 | 550.84 | 0.959 | 0.32 | 287.19*** | |
2 | Species | 192.31*** | 3 | 1226 | 552.82 | 0.958 | 0.32 | 2.06 | |||
3 | Tree (Species) | 47.15*** | 31 | 1198 | 949.40 | 0.650 | 0.55 | 21.81*** | |||
4 | Species × StndAge, Species × StndAge2 | 45.94*** | 33 | 1196 | 965.68 | 0.637 | 0.56 | 12.77*** | |||
5 | Tree × StndAge, Tree × StndAge2 | 22.44*** | 89 | 1140 | 1099.77 | 0.551 | 0.64 | 4.35* | |||
Endogenous | Growth rate | Peikkola | 6 | Nt−1 | 31.22*** | 1 | 49 | 0.2374 | 0.00760 | 0.39 | 31.22*** |
7 | Nt−2 | 19.40*** | 2 | 48 | 0.2727 | 0.00703 | 0.45 | 5.02* | |||
Growth rate | Valtatie | 6 | Nt−1 | 12.51** | 1 | 37 | 0.0427 | 0.00342 | 0.25 | 12.51** | |
7 | Nt−2 | 6.82** | 2 | 36 | 0.0465 | 0.00341 | 0.28 | 1.10 |
Exogenous component: development of general linear model quantifying the exogenous effects of host plant factors on the abundance of Phytobia [population density = ln (Phytobia + 1)]. The explanatory factors are: stand age (StndAge), birch species (Species), and tree individuals within birch species (Tree). With each step in the model development, we conducted an F-test (Fimprovement) to evaluate whether the new model allowed a significant reduction in variance compared to the model that included all other factors (Fmodel = F statistic for full model at each step). Endogenous component: stepwise development of linear response surface models testing for effects of population density in year t − 1 (Nt−1) and t − 2 (Nt−2) on population growth rate [rt = ln (Nt/Nt−1)] calculated from residuals of the general linear model steps (1–5). F-tests are approximate and were used primarily as a guide for model development (7, 24). Significance levels are indicated by asterisks: ∗∗∗, P < 0.001; ∗∗, P < 0.01; and ∗, P < 0.05.