Breaking down population density into different components to better understand its spatial variation

Table 2 Parameters estimates of the seven top-ranked models for estimating badger sett cluster abundance using distance sampling analyses, with the associated Akaike’s information criteria (AIC and AIC_C)

Model rank	Key model	Covariates	Number of parameters	AIC	ΔAIC	AICc	ΔAICc	GOF Chi-p
5	HR		2	875.30	18.64	875.35	18.49	0.81
		Conventional Distance Sampling
1	HR	SIT	4	856.66	0	856.86	0
2	HR	HAB	4	862.05	5.39	862.24	5.38
6	HR	TER	6	880.75	24.09	881.22	24.36
		Multiple Covariates Distance Sampling
3	HR	SIT	3	863.25	6.59	863.34	6.48	0.66
4	HR	HAB	4	887.32	30.67	887.48	30.62	0.01
7	HR	TER	4	880.49	23.83	880.64	23.78	0.33

In bold, the top-ranked model using the hazard rate (HR) detection function
SIT The habitat type of the whole study site (i.e. forested or hedgerow sites), HAB The habitat type along the transect (i.e. forest, forest edge or hedgerows), TER The type of sett cluster (i.e. unoccupied, secondary, or main sett cluster)

ISSN: 2730-7182