Plant Community Composition Results

#biomass analysis

Table 1.1: Results of regression for total biomass

	Total Biomass 2019			Total Biomass 2020
Predictors	Estimates	Conf. Int (95%)	p-Value	Estimates	Conf. Int (95%)	p-Value
(Intercept)	146.24	108.71 – 196.73	<0.001	326.18	238.24 – 414.12	<0.001
Exclosure (Yes)	2.03	1.36 – 3.02	<0.001	215.54	115.57 – 315.50	<0.001
Fire Energy (Low)	1.04	0.69 – 1.59	0.843	7.24	-116.09 – 130.58	0.907
Fire Energy (High)	0.81	0.51 – 1.29	0.378	-114.50	-238.90 – 9.90	0.071
Exclosure (Yes)*Fire Energy (Low)	0.80	0.45 – 1.40	0.432	-77.85	-216.80 – 61.10	0.267
Exclosure (Yes)*Fire Energy (High)	1.50	0.83 – 2.69	0.179	-21.99	-164.83 – 120.86	0.760
Random Effects
σ2				29223.54
τ00				17745.24 Plot
Observations	142			142

##grass and forb biomass

Table 1.1: Results of regression for biomass by functional group 2019

	Grass Biomass			Forb Biomass
Predictors	Estimates	Conf. Int (95%)	p-Value	Estimates	Conf. Int (95%)	p-Value
(Intercept)	69.43	39.37 – 122.44	<0.001	77.88	50.25 – 120.71	<0.001
Exclosure (Yes)	2.60	1.16 – 5.79	0.020	1.55	0.84 – 2.89	0.163
Fire Energy (Low)	1.42	0.64 – 3.16	0.394	0.70	0.38 – 1.30	0.262
Fire Energy (High)	0.43	0.19 – 0.97	0.041	1.31	0.70 – 2.46	0.393
Exclosure (Yes)*Fire Energy (Low)	0.47	0.15 – 1.45	0.188	1.48	0.62 – 3.57	0.377
Exclosure (Yes)*Fire Energy (High)	1.48	0.47 – 4.65	0.506	1.64	0.68 – 3.99	0.271
Observations	142			142

Table 1.1: Results of regression for biomass by functional group 2020

	Grass Biomass			Forb Biomass
Predictors	Estimates	Conf. Int (95%)	p-Value	Estimates	Conf. Int (95%)	p-Value
(Intercept)	316.99	223.55 – 410.44	<0.001	6.58	2.68 – 16.14	<0.001
Exclosure (Yes)	128.59	9.55 – 247.62	0.035	13.64	3.89 – 47.92	<0.001
Fire Energy (Low)	2.80	-128.02 – 133.62	0.966	2.07	0.60 – 7.19	0.251
Fire Energy (High)	-147.65	-282.77 – -12.53	0.033	7.37	2.07 – 26.23	0.002
Exclosure (Yes)*Fire Energy (Low)	-12.88	-178.48 – 152.73	0.877	0.19	0.03 – 1.10	0.064
Exclosure (Yes)*Fire Energy (High)	6.56	-164.41 – 177.53	0.939	0.16	0.03 – 0.95	0.043
Random Effects
σ2	41585.77
τ00	11042.06 Plot
Observations	141			142

Assessment of differences in variance for 2019 plant community data among fire treatments

	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Groups	2	0.64	0.32	19.55	0
Residuals	138	2.26	0.02	NA	NA

• group:

  	diff	lwr	upr	p adj
  High Energy-Control	0.06567	0.002712	0.1286	0.03875
  Low Energy-Control	-0.09896	-0.1609	-0.03703	0.0006628
  Low Energy-High Energy	-0.1646	-0.2276	-0.1017	1.878e-08

Assessment of differences in variance for 2019 plant community data between herbivory treatments

	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Groups	1	0.01	0.01	0.37	0.55
Residuals	139	2.87	0.02	NA	NA

Results of PERMANOVA assessing differences in plant communities by fire treatment, herbivory treatment, and their interaction in 2019

	Df	SumsOfSqs	MeanSqs	F.Model	R2	Pr(>F)
trt2019$herb	1	0.34	0.34	1.04	0.01	0.25
trt2019$fire	2	2.89	1.45	4.41	0.06	0.59
trt2019\(herb:trt2019\)fire	2	0.34	0.17	0.51	0.01	0.92
Residuals	135	44.27	0.33	NA	0.93	NA
Total	140	47.84	NA	NA	1	NA

Assessment of differences in variance for 2020 plant community data between herbivory treatments

	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Groups	1	0.03	0.03	1.19	0.28
Residuals	140	4.03	0.03	NA	NA

Assessment of differences in variance for 2020 plant community data among fire treatments

	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Groups	2	0.17	0.09	2.29	0.11
Residuals	139	5.24	0.04	NA	NA

Results of PERMANOVA assessing differences in plant communities by fire treatment, herbivory treatment, and their interaction in 2020

	Df	SumsOfSqs	MeanSqs	F.Model	R2	Pr(>F)
trt2020$herb	1	0.43	0.43	1.62	0.01	0.06
trt2020$fire	2	2.9	1.45	5.52	0.07	0.27
trt2020\(herb:trt2020\)fire	2	0.42	0.21	0.8	0.01	0.49
Residuals	136	35.79	0.26	NA	0.91	NA
Total	141	39.54	NA	NA	1	NA