Interpreting HLM Results

#1
Hi All, I'm new to this forum, but could sure use some help interpreting the results of a Hierarchical Linear Model (HLM) output. I'm trying to find out if bulk density of soil is different under natural forest, thinned forest, or existing open forest conditions on 3 types of soil (i.e., derived from 1) limestone, 2) basalt, and 3) benmoreite mineralogy) under livestock grazing and without grazing (fenced to exclude livestock).

Here are my Level 1, Level 2, and mixed models:
  • Level-1 Model
    • SOIL_DBij = β0j + β1j*(GRAZEDij) + rij
  • Level-2 Model
    • β0j = γ00 + γ01*(OPENj) + γ02*(THINNEDj) + γ03*(BASALTj) + γ04*(BENMOREIj) + u0j
    • β1j = γ10 + γ11*(OPENj) + γ12*(THINNEDj) + γ13*(BASALTj) + γ14*(BENMOREIj) + u1j
  • Mixed Model
    • SOIL_DBij = γ00+ γ01*OPENj+ γ02*THINNEDj+ γ03*BASALTj
      + γ04*BENMOREIj + γ10*GRAZEDij+ γ11*OPENj*GRAZEDij+ γ12*THINNEDj*GRAZEDij+ γ13*BASALTj*GRAZEDij + γ14*BENMOREIj*GRAZEDij + u0j + u1j*GRAZEDij+ rij
    • σ2 = 0.01910 (level-1 variance)
    • Random level-1 coefficient: Reliability estimate
      • INTRCPT1, β0: 0.300
      • GRAZED, β1: 0.581
Here are my HLM results

1622231478291.png

Am I correct in my interpretation that there is no significance among soils, treatment, or grazing vs. not grazing?

Thank you in advance for any help you can provide! Have a great day!