Table 2. Factors associated with membership of a community in a cluster of high T. infestans infestation in the Moreno Department, Santiago del Estero, Argentina.
Variables analyzed1 | Model fit | |||||||||||
Model | Den | Dist | LST | NDVI | Elev | Deg | Def | Crops | Constant | ?2 | Δi 2 | ωi |
1 | +X** | — | +X** | +X** | −X** | +X* | +X* | −X* | −X | 154** | 0.0 | 0.68 |
2 | +X** | −XNS | +X** | +X** | −X** | +X* | +X* | −X** | −X | 154** | 2.1 | 0.25 |
3 | +X** | — | +X** | +X** | −X** | — | — | −X* | −X | 144** | 6.1 | 0.03 |
4 | +X** | — | +X** | +X* | −X** | +X | — | −X* | −X | 146** | 6.3 | 0.03 |
6 | +X** | — | — | +X** | −X** | +X** | +X** | −X** | +X** | 143** | 9.1 | 0.01 |
5 | +X** | — | +X* | — | −X** | +X** | +X** | −X* | −X | 131** | 20.1 | 2.90E-05 |
7 | +X** | — | +X* | +X* | −X** | +X** | +X* | — | −X* | 123** | 28.9 | 3.60E-07 |
8 | — | — | +X** | +X* | −X** | +X** | +X** | −X* | −X* | 106** | 46.0 | 1.00E-10 |
9 | — | — | +X** | +X* | −X** | — | +XNS | −X* | −X** | 82** | 67.2 | 2.60E-15 |
10 | +X** | — | +X** | +X* | — | +XNS | +XNS | −XNS | −X** | 97** | 55.1 | 7.30E-13 |
Σ ωi(j) | 1.00 | 0.25 | 0.99 | 0.99 | 0.99 | 0.94 | 0.96 | 0.99 |
Variables: Den, density of rural houses (# per sq. km); Dist, distance from a community to the nearest T. infestans infested community (meters); LST, mean maximum land surface temperature (°C); NDVI, Normalized Difference Vegetation Index (no units); Elev, mean elevation of each community (meters above sea level); Deg, percentage of landscape within 2 km of a village that was degraded (see text for details); Def, percentage of landscape within 2 km of a community that was deforested (see text for details); Crops, percentage of landscape within 2 km of a village that was modified for soy production.
Symbols: X (variable tested in model); — (variable not tested in model); − (negative association) + (positive association);
(P≤0,01);
(0,01<P≤0,05); NS (not significant).
Δi = AICi−AICmin.
ωi = exp (−1/2 Δi)/Σ exp (−1/2 Δi).
Σ ωi(j): sum of ωi values from every model in which variable i was present. Indicates the relative importance of each independent variable in predicting the data.
Lowest AIC = 60.8.