scholarly journals Unusually High Predation on Chacma Baboons(Papio ursinus)by Female Leopards(Panthera pardus)in the Waterberg Mountains, South Africa

2012 ◽  
Vol 83 (3-6) ◽  
pp. 353-360 ◽  
Author(s):  
E. Jooste ◽  
R.T. Pitman ◽  
W. van Hoven ◽  
L.H. Swanepoel
Keyword(s):  
South Africa ◽  
Panthera Pardus ◽  
Papio Ursinus ◽  
High Predation ◽  
Chacma Baboons

Modelling the susceptibility of pine stands to bark stripping by Chacma baboons (Papio ursinus) in the Mpumalanga Province of South Africa

2017 ◽  
Vol 44 (4) ◽  
pp. 298 ◽  
Author(s):  
Ilaria Germishuizen ◽  
Kabir Peerbhay ◽  
Riyad Ismail
Keyword(s):  
South Africa ◽  
Random Forests ◽  
Risk Evaluation ◽  
Site Index ◽  
Pine Plantations ◽  
Bark Stripping ◽  
Papio Ursinus ◽  
Mpumalanga Province ◽  
Chacma Baboons ◽  
Pinus Spp

Context Commercial pine (Pinus spp.) plantations in southern Africa have been subjected to bark stripping by Chacma baboons (Papio ursinus) for many decades, resulting in severe financial losses to producers. The drivers of this behaviour are not fully understood and have been partially attributed to resource distribution and availability. Aims The study sought to develop a spatially explicit ecological-risk model for bark stripping by baboons to understand the environmental factors associated with the presence of damage in the pine plantations of the Mpumalanga province of South Africa. Methods The model was developed in Random Forests, a machine learning algorithm. Baboon damage information was collected through systematic surveys of forest plantations conducted annually. Environmental predictors included aspects of climate, topography and compartment-specific attributes. The model was applied to the pine plantations of the study area for risk evaluation. Key results The Random Forests classifier was successful in predicting damage occurrence (F1 score=0.84, area under curve (AUC)=0.96). Variable predictors that contributed most to the model classification accuracy were related to pine-stand characteristics, with the age of trees being the most important predictor, followed by species, site index and altitude. Variables pertaining to the environment surrounding a pine stand did not contribute substantially to the model performance. Key conclusions (1) The study suggests that bark stripping is influenced by compartment attributes; (2) predicted risk of bark stripping is higher in stands above the age of 5 years planted on high-productivity forestry sites, where site index (SI) is above 25; (3) presence of damage is not related to the proximity to natural areas; (4) further studies are required to investigate ecological and behavioural patterns associated with bark stripping. Implications The model provides a tool for understanding the potential extent of the risk of bark stripping by baboons within this region and it can be applied to other forestry areas in South Africa for risk evaluation. It contributes towards the assessment of natural hazards potentially affecting pine plantations and supports the development of risk-management strategies by forest managers. The model highlights opportunities for cultural interventions that may be tested for damage control.

A-B-O groups of Chacma baboons (Papio ursinus, Kerr) in South Africa

1973 ◽  
Vol 38 (3) ◽  
pp. 783-787 ◽  
Author(s):  
H. J. Downing ◽  
L. V. Milner ◽  
V. J. Rogers ◽  
D. D. Skinner
Keyword(s):  
South Africa ◽  
Papio Ursinus ◽  
Chacma Baboons

scholarly journals Increasing game prices may alter farmers’ behaviours towards leopards (Panthera pardus) and other carnivores in South Africa

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3369 ◽  
Author(s):  
Tara J. Pirie ◽  
Rebecca L. Thomas ◽  
Mark D.E. Fellowes
Keyword(s):  
South Africa ◽  
South African ◽  
Panthera Pardus ◽  
Farming Practices ◽  
Farming Community ◽  
Trophy Hunting ◽  
Questionnaire Surveys ◽  
The Cost ◽  
Financial Losses ◽  
Game Animals

Human-carnivore conflict occurs globally, particularly in regions where large carnivores predate livestock. Retaliatory killings do occur, and although predation of livestock by carnivores happens, losses from other factors such as disease or injury can be misattributed because of landowner perceptions. Game farming for both trophy hunting and eco-tourism is becoming increasingly common in South Africa, and there has been a rapid increase in the cost of game animals (in some species as much as five-fold) between 2010 and 2015. This could result in an increase in conflict between commercial game farmers and carnivores. We conducted two questionnaire surveys of farmers in 2010 and 2015 to investigate this. We asked if there had been changes in farming practices, perceived predator activity, perceived amount of livestock and commercial game losses, and actions taken towards carnivores in a South African farming community. We found no significant change in farming types in the area or losses of livestock between the years. However, there was a significant increase in perceived commercial game losses reported, even though protection of game had increased. Actions taken towards carnivores by livestock/game farmers were also significantly more negative in 2015 compared to farmers growing crops, but there was no such difference in 2010. We suggest that these changes could be a result of the increase in game prices over that period, leading to greater financial losses when an animal is predated, which in turn could increase the likelihood of retaliatory killings of carnivores.

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