Ecological Archives A023-010-A3
Sébastien Rioux Paquette, Dany Garant, Fanie Pelletier, Marc Bélisle. 2013. Seasonal patterns in Tree Swallow prey (Diptera) abundance are affected by agricultural intensification. Ecological Applications 23:122–133. http://dx.doi.org/10.1890/12-0068.1
Appendix C (Table C1). Model selection summary regarding Diptera abundance and biomass measured on 40 farms located in southeastern Quebec, Canada, 2006–2008. Number of estimated parameters (K), log-likelihood values (logL), second-order Akaike's information criterion (AICc), difference in AICc from the best model in each set (ΔAICc), and Akaike weights (wi).
K | logL | AICc | ΔAICc | wi | |
Abundance | |||||
model7 | 31 | -6914.1 | 13890.6 | 0 | 0.85 |
model4 | 27 | -6919.9 | 13894.1 | 3.44 | 0.15 |
model3 | 23 | -6928.6 | 13903.4 | 12.83 | 0 |
model2 | 23 | -6943.9 | 13934.1 | 43.46 | 0 |
model5 | 25 | -6942.7 | 13935.6 | 44.98 | 0 |
model6 | 23 | -6965.4 | 13977.1 | 86.47 | 0 |
model1 | 20 | -6974.3 | 13988.7 | 98.09 | 0 |
Biomass | |||||
model7 | 31 | -3684.7 | 7431.9 | 0 | 0.97 |
model5 | 25 | -3694.7 | 7439.6 | 7.74 | 0.02 |
model4 | 27 | -3693.3 | 7441.0 | 9.09 | 0.01 |
model3 | 23 | -3698.2 | 7442.7 | 10.80 | 0 |
model2 | 23 | -3698.9 | 7444.1 | 12.24 | 0 |
model6 | 23 | -3709.7 | 7465.6 | 33.76 | 0 |
model1 | 20 | -3720.6 | 7481.4 | 49.57 | 0 |
model1 predictors: YEAR + DAY + DAY2 + TEMP + TEMP2 + RAIN + WIND
model2 predictors: YEAR + DAY + DAY2 + YEAR:DAY + YEAR:DAY2 + TEMP + TEMP2 + RAIN + WIND + INT50 + YEAR:INT50
model3 predictors: YEAR + DAY + DAY2 + YEAR:DAY + YEAR:DAY2 + TEMP + TEMP2 + RAIN + WIND + INT500 + YEAR:INT500
model4 predictors: YEAR + DAY + DAY2 + YEAR:DAY + YEAR:DAY2 + TEMP + TEMP2 + RAIN + WIND + INT50 + YEAR:INT50 + INT500 + YEAR:INT500 + INT50: INT500
model5 predictors: YEAR + DAY + DAY2 + YEAR:DAY + YEAR:DAY2 + TEMP + TEMP2 + RAIN + WIND + INT50 + YEAR:INT50 + INT50:DAY + INT50:DAY2
model6 predictors: YEAR + DAY + DAY2 + YEAR:DAY + YEAR:DAY2 + TEMP + TEMP2 + RAIN + WIND + INT500 + YEAR:INT500 + INT500:DAY + INT500:DAY2
model7 predictors: YEAR + DAY + DAY2 + YEAR:DAY + YEAR:DAY2 + TEMP + TEMP2 + RAIN + WIND + INT50 + INT500 + YEAR:INT50 + INT50:DAY + INT50:DAY2 + YEAR:INT50 + INT50:DAY + INT50:DAY2 + INT50: INT500