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Table 1 Summary of the results of model selection analysis to identify the best detection model for eight grassland bird species at Ingula, South Africa

From: Management factors affecting densities of common grassland birds of high elevation grasslands of eastern South Africa: Ingula as a case study

  Detection models CLC WSC AP AQF YBP RCL ZC CQ
1. dens(.)p(.) 4.08 7.35 6.00 14.41 9.71 13.36 10.26 1.49
2. dens(.)p(Burning) 0.00 5.47 7.84 16.37 6.50 2.71 6.68 0.97
3. dens(.)p(Grazing) 6.41 9.13 9.24 3.81 10.22 0.00 4.80 4.26
4. dens(.)p(cover) 4.15 8.63 7.58 9.94 10.00 7.34 12.26 2.46
5. dens(.)p(avh) 6.08 0.00 1.70 16.19 5.13 13.45 4.24 0.00
6. dens(.)p(avh + cover) 5.37 1.58 0.00 0.00 0.00 6.08 0.00 2.64
  1. The table shows delta AIC values, i.e., the difference in AIC between a particular model and the best. The fitted models are hierarchical distance sampling models and full model selection details are given in Additional file 1: Appendix S1. The best detection model for each species based on lowest delta AIC is highlighted in italics. Density dens(.) was held constant while considering the effects of transect habitat on the detection function p(.). The habitat variables were grass cover (‘cover’), grass height (‘avh’) and whether the area had been grazed (‘Grazing’) or burned (‘Burning’) prior to the survey. Species are sorted from the most common (left) to least common (right); Cape Longclaw (CLC), Wing-snapping Cisticola (WSC), African Pipit (AP), African Quailfinch (AQF), Yellow-breasted Pipit (YBP), Red-capped Lark (RCL), Zitting Cisticola (ZC) and Common Quail (CQ)