**Note**: Coefficient estimates depend on the design matrix. For
example, the matrix for the psi(dist), gamma (.), p(. t)

had 1s on the diagonal of the occupancy design matrix. Please see
PRESENCE help, multiseason models, for details.

Open Population Model: psi(dist), gamma (.), p(. t)

Number of sites = 39

Total number of sampling occasions = 20

Number of primary sampling periods = 4

Number of missing observations = 82

Number of parameters = [8]{.mark}

-2log(likelihood) = 736.5210

AIC = [752.5210]{.mark} 'Best model'

Model has been fit using the logistic link.

Coefficients for occupancy covariates:

A1 -0.3075

A2 2.7789

Coefficients for colonization covariates:

B1 -1.3317

Coefficients for local extinction covariates:

Coefficients for detection covariates:

D1 1.7372

D2 0.6113

D3 0.2307

D4 -0.6525

D5 -1.2030

Variance-Covariance Matrix

A1 A2 B1 D1 D2 D3 D4 D5

0.2141 -0.2054 0.1156 0.0028 0.0011 -0.0002 -0.0001 -0.0001

-0.2054 0.6477 -0.1007 -0.0247 -0.0104 -0.0117 -0.0079 -0.0067

0.1156 -0.1007 0.2394 0.0077 0.0031 0.0040 0.0027 0.0023

0.0028 -0.0247 0.0077 0.0890 0.0023 0.0020 0.0013 0.0011

0.0011 -0.0104 0.0031 0.0023 0.0476 0.0009 0.0006 0.0005

-0.0002 -0.0117 0.0040 0.0020 0.0009 0.0336 0.0009 0.0007

-0.0001 -0.0079 0.0027 0.0013 0.0006 0.0009 0.0359 0.0005

-0.0001 -0.0067 0.0023 0.0011 0.0005 0.0007 0.0005 0.0453

Open Population Model: psi(.), gamma(year), p (. t)

Number of sites = 39

Total number of sampling occasions = 20

Number of primary sampling periods = 4

Number of missing observations = 82

Number of parameters = [9]{.mark}

-2log(likelihood) = 751.4125

[AIC = 769.4125]{.mark} (Third best model, but little support for it)

Model has been fit using the logistic link.

Coefficients for occupancy covariates:

A1 1.2895

Coefficients for colonization covariates:

B1 -0.7549

B2 -1.0887

B3 -1.7876

Coefficients for local extinction covariates:

Coefficients for detection covariates:

D1 1.7571

D2 0.6196

D3 0.2598

D4 -0.6330

D5 -1.1864

Variance-Covariance Matrix

A1 B1 B2 B3 D1 D2 D3 D4 D5

0.1218 0.0080 0.0842 0.0464 -0.0041 -0.0018 -0.0072 -0.0048 -0.0041

0.0080 0.9593 -0.0085 0.0092 -0.0014 -0.0006 0.0240 0.0160 0.0137

0.0842 -0.0085 0.4616 0.0302 -0.0003 -0.0005 -0.0044 -0.0030 -0.0025

0.0464 0.0092 0.0302 0.6929 0.0205 0.0086 0.0034 0.0023 0.0019

-0.0041 -0.0014 -0.0003 0.0205 0.0896 0.0020 0.0015 0.0010 0.0009

-0.0018 -0.0006 -0.0005 0.0086 0.0020 0.0477 0.0007 0.0004 0.0004

-0.0072 0.0240 -0.0044 0.0034 0.0015 0.0007 0.0353 0.0016 0.0014

-0.0048 0.0160 -0.0030 0.0023 0.0010 0.0004 0.0016 0.0367 0.0009

-0.0041 0.0137 -0.0025 0.0019 0.0009 0.0004 0.0014 0.0009 0.0458

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Open Population Model: psi(year), gamma (.), p(..)

Number of sites = 39

Total number of sampling occasions = 20

Number of primary sampling periods = 4

Number of missing observations = 82

Number of parameters = 6

-2log(likelihood) = 861.9070

AIC = [873.9070]{.mark} (No support for this model)

Model has been fit using the logistic link.

Coefficients for occupancy covariates:

A1 0.8269

A2 1.1744

A3 1.3437

A4 1.4022

Coefficients for colonization covariates:

B1 -0.7505

Coefficients for local extinction covariates:

Coefficients for detection covariates:

D1 0.0501

Variance-Covariance Matrix

A1 A2 A3 A4 B1 D1

0.2434 0.1430 0.0628 0.0125 -0.1092 -0.0111

0.1430 0.1421 0.1022 0.0720 0.0221 -0.0052

0.0628 0.1022 0.1455 0.1193 0.1087 -0.0006

0.0125 0.0720 0.1193 0.1897 0.1479 -0.0002

-0.1092 0.0221 0.1087 0.1479 0.2969 0.0099

-0.0111 -0.0052 -0.0006 -0.0002 0.0099 0.0088

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