Vincent de Leijster

158 8.1 Appendices of Chapter 3 (A3) Table A3-1. Overview of the used distributions and results of the GLMMs. R 2 marginal gives an indication of the variance explained by the fixed factor (treatment), and the conditional R 2 gives an indication of the variance explained by both fixed and random (farm) factors. Ecosystem service indicator Distribution GLMM p -value R 2 marginal R 2 conditional Dehydrogenase Gaussian 0.56 0.01 0.88 Glucosidase Gaussian < 0.001 0.17 0.58 Phosphatase Gaussian < 0.001 0.10 0.85 Urease Gaussian 0.007 0.02 0.90 Soil N content Gaussian < 0.001 0.02 0.94 Soil P content Gaussian 0.006 0.06 0.75 Soil K content Gamma < 0.001 0.09 0.70 Leaf N Gaussian 0.07 0.04 0.62 Leaf P Gaussian < 0.001 0.11 0.70 Leaf K Gaussian < 0.001 0.14 0.70 SOC Gaussian 0.018 0.01 0.95 Understory carbon stock Gamma < 0.001 0.13 0.54 Arthropod abundance Negative binomial 0.04 0.08 0.24 Arthropod richness Poisson 0.87 0.01 0.01 Understory cover Gaussian < 0.001 0.42 0.79 Plant richness Gaussian < 0.001 0.24 0.63 Almond yield Gamma 0.52 0.02 0.64 Kernel weight Gaussian < 0.001 0.26 0.53 Pests Negative binomial 0.39 0.07 0.83 Natural enemies Zero infl. poisson 0.77 NA NA NE:P ratio Gaussian 0.57 0.01 0.71 Pollinator abundance Negative binomial 0.63 0.01 0.51 Fruit set Gamma 0.06 0.08 0.30