Table 2 Covariate coefficients (β) from top single-species occupancy model for the Northern saw-whet Owl landscape use (ψ) and detection likelihood (p) ranked by akaike’s information criterion for small sample sizes, including standard error (SE) the lower and upper 95% confidence intervals (LCL; UCL). All variables were scaled to have a mean of 0 and standard deviation of 1 prior to analysis.

Parameter	Variable ^a	β	SE	LCL	UCL
p	Intercept	−1.67	0.04	−1.74	−1.592
p	PRECIP	−0.10	0.03	−0.16	−0.03
p	DATE	−0.63	0.04	−0.71	−0.56
p	LOWFREQNOISE	−0.40	0.04	−0.48	−0.32
ψ	Intercept	0.44	0.14	0.17	0.71
ψ	BRDLF₄₀₀	−0.52	0.17	−0.85	−0.19
ψ	ELEV	−0.42	0.16	−0.73	−0.12
ψ	STRMDIST	0.38	0.18	0.02	0.74
ψ	RAILROAD	−0.36	0.18	−0.70	−0.01
ψ	OWLFREQ	−0.30	0.14	−0.58	−0.02
ψ	SMCON₂₀₀	0.37	0.15	0.07	0.67

^a SMCON₂₀₀ = proportion of small conifer within 200 m, BRDLF₄₀₀ = proportion of broadleaf trees within 400 m, RAILROAD = distance to nearest railroad (km), STRMDIST = distance to nearest stream (m), OWLFREQ = mean noise values within the range of 1.6–7.6. l kHz. ELEV = elevation (m), DATE = Julian date, LOWFREQNOISE = mean nightly noise values calculated from 250–1000 Hz (dBFS), PRECIP = amount of daily precipitation (mm).

Quick links

Search