Table 4. Bonobo population density and number of adult individuals in 2011, 2012, 2013, respectively, as estimated with Distance 6.0.
% CV | D | D LCL | D UCL | N | N LCL | N UCL | |
Global estimation1 | 14.38 | 0.41 | 0.32 | 0.56 | 39 | 30 | 53 |
Mpelu 2011 | 36.5 | 0.56 | 0.27 | 1.13 | 31 | 15 | 61 |
Mpelu 2012 | 27.08 | 0.21 | 0.12 | 0.35 | 11 | 7 | 19 |
Mpelu 2013 | 26.24 | 0.32 | 0.19 | 0.53 | 17 | 11 | 28 |
Nkala 2011 | 27.85 | 0.63 | 0.36 | 1.12 | 20 | 12 | 36 |
Nkala 2012 | 22.65 | 0.51 | 0.32 | 0.79 | 16 | 11 | 25 |
Nkala 2013 | 33.54 | 0.55 | 0.28 | 1.07 | 17 | 9 | 35 |
Lokoso&Mankere 2011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Lokoso&Mankere 2012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Lokoso&Mankere 2013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
We modelled data with a half normal cosine function and used a truncation distance of 35 m. We obtained an effective strip width (‘ESW’) of 19.1 m and a mean probability of detection of 0.55. %CV = Coefficient of Variation for the density estimate. D = density estimate. D LCL = Lower confidence limit (95%) of the density estimate. D UCL = Upper confidence limit (95%) of the density estimate. N = community size estimate (number of adults). N LCL = Lower confidence limit (95%) of the community size estimate. N UCL = Upper confidence limit (95%) of the community size estimate (1the global estimate was derived by weighting data with the area of the three parts of the study site).