Table 3 Table depicting the Bayesian estimates for effects of covariates on the probability of occurrence at a site (ψ).

From: Combining ddPCR and environmental DNA to improve detection capabilities of a critically endangered freshwater invertebrate

Bayesian estimates of model parameters

 

Mean

50%

2.5%

97.5%

β Intercept

0.135

0.086

−1.107

1.610

β Accessibility

−0.232

−0.189

−1.678

1.113

α Intercept

0.970

0.933

−0.265

2.506

α Volume

0.151

0.166

−1.026

1.178

α pH

0.156

0.134

−1.118

1.671

δ Intercept

−0.136

−0.136

−0.847

0.619

δ Volume

0.275

0.292

−0.486

1.054

δ O2

−0.037

−0.087

−2.037

2.102

δ Time

−0.149

−0.153

−0.845

0.575

Monte Carlo SE of Bayesian estimates

 

Mean

50%

2.5%

97.5%

β Intercept

0.0345

0.0418

0.0420

0.0316

β Accessibility

0.0305

0.0372

0.0305

0.0474

α Intercept

0.0391

0.0434

0.0516

0.0332

α Volume

0.0220

0.0258

0.0439

0.0302

α pH

0.0306

0.0342

0.0407

0.0462

δ Intercept

0.0166

0.0189

0.0204

0.0255

δ Volume

0.0156

0.0182

0.0225

0.0178

δ O2

0.0667

0.0704

0.0840

0.0819

δ Time

0.0188

0.0199

0.0207

0.0249

  1. (α) and (δ) parameters are covariates for the conditional probability of eDNA presence in a sample (θ) and for its detection (p). (β) parameters are covariates of the estimated occupancy (ψ). Means represent estimated parameter values and last two columns represent the boundaries of the 95% credible intervals.