Table 2.
Generalized linear models show significant relationships between invaded areas and fire occurrence and frequency
| Grass | Fire-Occurrence Model | Fire-Size Model | Fire-Frequency Model |
| B. tectorum | Invaded***, Road***, BPS***, Ecorg***, Dev*** | BPS^, Ecorg*** | Invaded***, Road^, BPS***, Ecorg***, Dev*** |
| Dev. Explain, % | 7.1 (0.58) | 12 | 9.3 (0.59) |
| ΔAIC | 20 | 81 | |
| I. cylindrica | Invaded**, Road***, BPS**, Ecorg*** | BPS***, Ecorg***, Dev*** | Invaded^, Road***, BPS**, Ecorg*** |
| Dev. Explain, % | 5.9 (0.20) | 21.3 | 7 (0.08) |
| ΔAIC | 8.1 | 1.3 | |
| M. sinensis | Invaded*, Road** | Ecorg*** | n/a |
| Dev. Explain, % | 10 (3.0) | 39.2 | n/a |
| ΔAIC | 2.3 | ||
| M. vimineum | Invaded*, Road**, Ecorg*** | n/a | Invaded*, Road***, Ecorg*** |
| Dev. Explain, % | 2.3 (0.19) | n/a | 3.9 (0.27) |
| ΔAIC | 2.5 | 3.6 | |
| N. reynaudiana | Invaded***, Dev*** | n/a | Invaded***, BPS*** |
| Dev. Explain, % | 13.8 (5.93) | n/a | 11.3 (5.91) |
| ΔAIC | 44.9 | 40.8 | |
| P. ciliare | Invaded***, Road***, BPS*, Ecorg**, Dev** | Dev* | Invaded***, Road***, Ecorg***, Dev* |
| Dev. Explain, % | 7.4 (2.56)† | 10.0 | 10.8 (2.18)‡,† |
| ΔAIC | 60.9 | 30.0 | |
| P. australis | Road**, BPS***, Ecorg***, Dev^ | n/a | n/a |
| Dev. Explain, % | 9.8 | n/a | n/a |
| ΔAIC | |||
| S. barbatus | Invaded*, Road**, BPS* | n/a | n/a |
| Dev. Explain, % | 11 (2.03) | n/a | n/a |
| ΔAIC | 4.6 | ||
| T. caput-medusae | Invaded***, Ecorg***, Dev | Ecorg***, Dev** | Invaded***, Ecorg***, Dev^ |
| Dev. Explain, % | 10.1 (2.66) | 15.8 | 14.8 (3.44) |
| ΔAIC | 20.3 | 20.6 |
Percent deviance explained refers to the top-ranked model, with the percent explained by grass invasion in parentheses. ΔAIC is reported for the model if “Invaded” is dropped. Road, distance to road; BPS, biophysical setting; Ecorg, EPA level III ecoregion; Dev, percent development; Invaded, grass-invaded pixel; Dev. Explain, %, percent deviance explained. ^ P < 0.1 *P < 0.05 **P < 0.01 ***P < 0.001.
Spatial autocorrelation was present in the full model.
A negative binomial model was used because of overdispersion in the Poisson model.