Table 1.

Results of the linear regression for species richness

	Estimate	SE	t Value	p Value
Intercept	−3.1025	1.1786	−2.632	0.01042*
Railway	0.8460	1.4784	0.572	0.5690
Road	1.4523	0.6401	2.269	0.0264*
Road and railroad	2.2935	1.9720	1.163	0.2487
Road and trail	2.0156	0.9591	2.102	0.0392*
Trail	1.8593	0.6730	2.763	0.0073**
Trampling	1.8765	1.3598	1.380	0.1719
B‐A‐H‐L	1.2261	3.5420	0.346	0.7303
B‐A‐P‐A	0.8342	16.5798	0.050	0.9600
High–Low	1.2948	1.1976	1.081	0.2834
Near–Far	1.5465	1.0801	1.432	0.1566
Presence–Absence	2.9193	0.9915	2.944	0.0044**
	Adjusted R 2	0.3039	F statistic	4.215, df 11,70
	p Value	8.66 × 10− 5

The model had the form Call: lm(formula = metanalysis$Z.transform ~metanalysis$path.type + metanalysis$comparison, weights = metanalysis$fixed.weight). Note that for the lm function, the order of the variables is not relevant.

^a p < 0.05.

^b p < 0.01.

p < 0.001.