Table 4. Results of the models investigating biases in lion population assessments in Africa, accounting for geographical range (Negative Binomial GLM).
For residuals of individual countries, a positive value indicates more assessments than expected after controlling for the relevant variables, a negative value fewer. Significant residual values (defined as zero not contained within the 95% highest density interval (HDI) of the posterior distribution) are highlighted. Names of fixed effects and of countries are in bold if the variable exhibits a significant (i.e., credible non-zero) effect. Similar results for other species are presented in Appendix S4.
| Name | Mean | HDI low | HDI high |
|---|---|---|---|
| (Intercept) | 0.73 | 0.29 | 1.17 |
| Range* | 0.51 | 0.08 | 0.95 |
| Kenya* | 3.46 | 1.59 | 5.36 |
| South Africa* | 2.35 | 0.94 | 3.73 |
| Cameroon* | 2.05 | 0.78 | 3.36 |
| Zimbabwe | 0.66 | −0.01 | 1.34 |
| Zambia | 0.62 | −0.08 | 1.33 |
| Uganda | 0.36 | −0.25 | 0.98 |
| Botswana | 0.35 | −0.50 | 1.21 |
| Tanzania | 0.28 | −1.09 | 2.12 |
| Nigeria | −0.29 | −0.67 | 0.10 |
| Sudan | −0.3 | −0.67 | 0.10 |
| Burkina Faso | −0.31 | −0.68 | 0.08 |
| Benin | −0.31 | −0.68 | 0.07 |
| Senegal | −0.33 | −0.69 | 0.04 |
| Mozambique † | −0.52 | −0.96 | −0.08 |
| Ethiopia † | −0.63 | −0.95 | −0.31 |
| Namibia † | −0.68 | −1.02 | −0.35 |
| Niger † | −0.91 | −1.21 | −0.63 |
| Chad † | −0.91 | −1.21 | −0.62 |
| Malawi † | −0.92 | −1.22 | −0.63 |
| Angola † | −0.92 | −1.23 | −0.63 |
| DRC † | −0.92 | −1.23 | −0.64 |
| South Sudan † | −0.93 | −1.24 | −0.64 |
| CAR † | −0.99 | −1.57 | −0.49 |
Note:
HDI, Highest Density Interval; Range, Geographical range of species, based on IUCN Red List range maps (IUCN, 2020).
value suggests significant positive effect;
value suggests significant negative effect.