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. 2018 Jul 3;8(15):7462–7475. doi: 10.1002/ece3.4248

Table 4.

Selection of models according to the Akaike information criterion (AIC) for investigating the effect of seed provenance and site of transplant on seedling and sapling adaptive traits assessed in reciprocal transplants with Euterpe edulis in different forest types of the Brazilian Atlantic Forest

Forest types Adaptive trait ΔAIC
Seed provenance Site of transplant Both With interactiona Seed mass inclusionb
Semideciduous Forest versus Rainforest Seedling emergence 100.53 28.26 19.30 0.00
Seedling mortality 267.34 5.39 1.19 0.00
Seedling density 33.88 39.37 35.77 0.00
Seedling aboveground dry mass 28.15 38.13 3.81 0.00 Yes
49.20 53.21 24.91 22.31 No
Sapling survival 0.00 1.00 1.91 0.21
Sapling root–shoot dry mass ratio 5.13 8.34 0.00 1.78 Yes
5.79 8.45 0.45 2.18 No
Sapling total dry mass 7.71 0.00 1.59 3.57 Yes
  11.57 3.54 5.21 7.20 No
Rainforest versus Restinga Forest Seedling emergence 0.00 3.17 1.27 3.06
Seedling mortality 12.97 0.00 1.42 2.36
Seedling density 13.70 6.99 0.00 1.56
Seedling aboveground dry mass 79.24 85.34 0.00 1.67 Yes
103.35 105.58 25.66 27.27 No
Sapling survival 0.00 1.00 1.91 0.21
Sapling root–shoot dry mass ratio 9.44 2.47 1.68 3.54 Yes
8.02 0.87 0.00 1.84 No
Sapling total dry mass 3.79 11.54 1.38 1.28 Yes
  2.20 9.93 0.00 0.06 No

Bold letters indicate models with ΔAIC < 2, or when more than one model has ΔAIC < 2, bold letters indicate the model with the lowest ΔAIC, indicating the most parsimonious model. aInteraction: considers that the effect of one predictor on the response variable is different at different levels of the other predictor, that is, the influence of seed provenance is different if seeds are in a site or another. bSeed mass inclusion: inclusion (yes) or not (no) of seed mass in the model depending on the significant effect of this covariable in the response variable (adaptive trait).