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Table 1 Comparison of linear models and piecewise models

From: Trophic structure of the pelagic food web in the East China Sea

Response Predictor AIC linear model AIC piecewise model Cut point
Larval fish SSTa 452.1 440.5 25.3
  SSS 460.6 462.1 32.2
  Zooplankton biomass 446.6 447.0 −1.9
Zooplankton SST 358.4 360.2 25.2
  SSS 363.9 362.9 32.8
  Phytoplankton biomass 354.2 358.0 8.9
Phytoplankton SSTa 216.0 192.6 24.8
  SSSa 216.6 204.7 32.0
  DINa 211.4 198.9 10.4
  PO4 219.4 223.4 0.2
  SiO3 219.6 213.1 16.3
Zooplankton/phytoplankton ratio SST 363.0 364.8 24.5
SSS 362.4 365.4 28.3
  DIN 353.2 355.5 9.0
  PO4 342.9 348.2 0.5
  SiO3 353.8 356.8 4.7
  Larval fish density 356.2 360.2 −1.3
  1. The relationships between the abundance/biomass of each trophic level and each predictor variable were analyzed using generalized linear mixed-effects models and mixed-effects piecewise regression models, and the AIC values of the two approaches were compared.
  2. aThe piecewise model had a much better fit compared to the linear model (ΔAIC ≥ 10), indicating a change of relationship at the cut point.