Table 1 Univariate generalized linear mixed models fit by maximum likelihood using a negative binomial distribution to account for overdispersion of elemental counts.

From: Novel detection of provenance in the illegal wildlife trade using elemental data

Element

Variable

Estimate

SE

Z-value

P-value

Al

Status

−0.074

0.107

−0.69

0.491

Ba

Status

0.096

0.123

0.781

0.435

Br

Status

−0.149

0.149

−1

0.318

Ca

Status

−0.758

0.222

−3.42

<0.001

Cl

Status

−0.605

0.34

−1.778

0.0753

Cr

Status

−0.108

0.073

−1.49

0.137

Cu

Status

0.014

0.114

0.12

0.905

Fe

Status

−0.108

0.512

−0.211

0.833

Hf

Status

−1.407

1.843

−0.764

0.445

K

Status

−0.323

0.4

−0.807

0.419

Mg

Status

−0.766

0.279

−2.743

0.006

Mn

Status

−0.171

0.246

−0.696

0.486

Nd

Status

0.012

0.035

0.35

0.726

Ni

Status

−0.138

0.044

−3.11

0.002

Pb

Status

0.645

0.666

0.969

0.332

Pd

Status

0.29

0.362

0.801

0.423

S

Status

−0.32

0.14

−2.28

0.023

Si

Status

0.165

0.264

0.626

0.531

Sr

Status

−0.276

0.354

−0.778

0.437

Ti

Status

0.028

0.316

0.087

0.931

V

Status

−0.304

0.242

−1.257

0.209

Y

Status

−0.241

0.206

−1.172

0.241

Zn

Status

−1.225

0.27

−4.543

<0.001

Zr

Status

0.231

0.586

0.394

0.693

  1. Each element was modelled separately to test for differences in wild samples from captive samples (Status), where samples were nested within each quill. Coefficient estimates and their standard error are presented along with Z and P values. Those tests significant at the 0.05 level are italicised.