Table S1.

Results of the model selection analysis for factors that could modulate the effect of biodiversity on parasite spread in the meta-analysis

Rank	Terms*,†	Parameters‡	AICc	ΔAICc	Model weight
1	Specialist	5	620.1	0	0.055
2	Design*Lifecycle	7	620.1	0.03	0.054
3	(Intercept)	4	620.2	0.12	0.052
4	Human	5	620.7	0.66	0.040
5	Specialist + Lifecycle	6	620.8	0.73	0.038
6	Specialist*Lifecycle	7	621.1	0.99	0.034
7	Functional_group	5	621.1	1.02	0.033
8	Design*Specialist + Design*Lifecycle	9	621.2	1.1	0.032
9	Human + Lifecycle	6	621.3	1.2	0.030
10	Specialist + Human	6	621.6	1.6	0.025
11	Design*Lifecycle + Human	8	621.7	1.6	0.024
12	Specialist + Functional_group	6	621.9	1.8	0.021
13	Design + Specialist	6	622.1	2.0	0.020
14	Design*Lifecycle + Functional_group	8	622.1	2.1	0.020
15	Design*Specialist	7	622.1	2.6	0.020
16	Specialist + Human + Lifecycle	7	622.2	2.1	0.019
17	Specialist*Lifecycle + Human	8	622.7	2.6	0.015
18	Specialist*Human	7	622.7	2.7	0.015
19	Design + Specialist + Lifecycle	7	622.8	2.7	0.014
20	Human*Lifecycle	7	622.8	2.8	0.014

AICc, Akaike information criterion.

^*Description of model terms: Design, manipulative vs. observational; Functional_group, microparasite vs. macroparasite; Human, infects humans vs. infects only wildlife; Lifecycle, simple vs. complex; Specialist, specialist vs. generalist.

^†An interaction term, for example, Specialist*Design, indicates that the main effects and the interaction are present in the model. Thus, an interaction term contributes three parameters to a model.

^‡All models also contain three variance components (for parasite species, experiment, and effect size). Thus, the “intercept-only” model contains four parameters, the fewest among all models under consideration.