Predator‐proof boma disrepair 201
TABLE 2 Causes of damage to the parts of 88 predator-proof bomas, as reported by boma owners at evaluation, with the per cent of cause of damage per boma component.
Boma part exhibiting damage
Causes of damage Termites
Weak & broken posts Rotten posts Loose posts
Gates, n = 26 (%) Chain-link fences, n = 31 (%) Posts, n = 47 (%) 0
0 0
Cattle or other livestock 8 (30.76) Lorry or other vehicle Rotten wooden frame Elephants Unknown
9 (34.62) 2 (7.69)
1 (3.85) 1 (3.85) 5 (19.23)
0 0 0
9 (29.0) 12 (38.7) 0 0
3 (9.7) 7 (22.6)
12 (25.53) 8 (17.02) 5 (10.64) 0
8 (17.02) 0 0
4 (8.51) 10 (21.28)
Total number of reports of damage, n = 104 (%)
12 (11.5) 8 (7.7) 5 (4.8)
18 (17.3) 28 (26.9) 2 (1.9) 1 (1.0) 8 (7.7)
22 (21.2)
TABLE 3 Summary of generalized linear mixed model showing regression coefficients and P-values for each variable. Analyses were per- formed using the full dataset (n = 86). Models were fitted using 10 predictors. Cost shared by boma owner and boma post type are categorical; all other predictors are continuous. We calculated three models, one each with all components, posts and chain-link fences as dependent variables. Detailed results are presented in Supplementary Table 1a,c,d.
All components
Model term Intercept
Livestock density
Distance to nearest predator-proof boma
Boma circumference
Cost shared by boma owner (50%) Cost shared by boma owner (25%) Boma post type (plastic) Boma post type (wooden)
Clustering of traditional bomas *P , 0.05; **P , 0.01; ***P , 0.001.
Regression coefficient
−1.376 −0.037
9.03 × 10−5
0.001 0.173 0
−2.941 0
Distance to nearest protected area −3.48 × 10−6 Months since construction
0.004 0.022
P 0.382
0.695 0.812
0.786 0.866 0.338
Posts
Regression coefficient
0.028* −0.051 0.074
−1.242 5.32 × 10−5 0.0003
−0.037 0
0.0005*** −3.232 0
−0.0001
−1.90 × 10−5 0.037
P
0.432 0.928
Chain-link fences
Regression coefficient
0.537 −1.433 0.025* −0.014
0.967 −0.427 0
0.002** −2.812 0
0.995 −0.0004 0.470
0.213 −0.004 3.98 × 10−5
0.0001 0.0004
P
0.493 0.515
0.033* 0.898
0.655
0.012* 0.986
0.149 0.887
of damaged components (Supplementary Table 3). Al- though models built using proportion of damaged gates and proportion of damaged chain-link fences as dependent variables did not fit the data well overall (Supplementary Fig. 2b,d), the individual effect of distance to nearest predator- proof boma was statistically significant (Supplementary Table 2f,h); this was also the case for the main dataset using proportion of damaged gates as the only dependent variable (Supplementary Table 2b). We detected no signifi- cant effect (except for the intercept) using the second data- set and proportion of damaged posts as the dependent variable (Supplementary Table 2g).
Discussion
Our results reveal there was more disrepair in bomas constructed with wooden posts, confirming the benefit of
using recycled plastic posts; in bomas with lower livestock density, suggesting that fewer animals could cause more damage or that such damage is not repaired; and in bomas located further away from a neighbouring predator- proof boma, suggesting a social element encouraging or enabling boma owners to carry out maintenance. The effect of post type in driving the disrepair of bomas is
likely to be a direct result of the robustness of the material; wood is prone to rot and consumption by termites. Fur- thermore, weak posts reduce the strength of the structure overall, whereas robust recycled plastic posts result in stron- ger structures and less damage to other boma components. The majority (66.7%) of respondents in Amboseli preferred recycled plastic posts because of their durability and termite- resistant traits (Manoa & Oloo, 2016). Extensive, rapid dam- age because of weak wooden posts could overwhelm boma owners in terms of their financial and technical capacity
Oryx, 2023, 57(2), 196–204 © Born Free Foundation and the Author(s), 2022. Published by Cambridge University Press on behalf of Fauna & Flora International doi:10.1017/ S0030605321001642
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