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. 2020 Jun 26;9:e55659. doi: 10.7554/eLife.55659

Appendix 2—table 4. Main effects of categorical predictors on decomposer diversity, abundance and decomposition in the four datasets: Stressors - Biodiversity (Biodiv), Stressors - Abundance (Abdc), Nutrients - Biodiversity and Nutrients, Abundance.

Results are QM statistics and associated p-values of the second-level meta-analyses.

Dataset Response Predictor QM p-value
Stressors - Biodiv Diversity Taxonomic group 4.80 0.028
Stressors - Abdc Abundance Taxonomic group 10.10 0.001
Nutrients - Biodiv Diversity Taxonomic group 12.77 <0.001
Nutrients - Abdc Abundance Taxonomic group 4.53 0.033
Stressors - Biodiv Diversity Study type 1.89 0.169
Stressors - Abdc Abundance Study type 0.92 0.338
Nutrients - Biodiv Diversity Study type 0.24 0.625
Nutrients - Abdc Abundance Study type 0.98 0.323
Stressors - Biodiv Diversity Diversity metric 1.67 0.196
Nutrients - Biodiv Diversity Diversity metric 2.35 0.125
Stressors - Biodiv Decomposition Study type 0.16 0.693
Stressors - Abdc Decomposition Study type 1.85 0.174
Nutrients - Biodiv Decomposition Study type 2.69 0.101
Nutrients - Abdc Decomposition Study type 0.18 0.674