Shedding Light on Reflective Prisms as Potential Baboon (Papio ursinus) Deterrents in the Cape Peninsula, South Africa

2015 ◽  
Vol 45 (1) ◽  
pp. 117-121 ◽  
Author(s):  
Bentley S. Kaplan ◽  
M. Justin O'Riain
Keyword(s):  
South Africa ◽  
Papio Ursinus ◽  
Cape Peninsula

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.

scholarly journals Soil nutrients influence the biogeography of legumes in the Cape Peninsula of South Africa

2016 ◽  
Vol 103 ◽  
pp. 314
Author(s):  
M.N. Dludlu ◽  
S.B.M. Chimphango ◽  
C.H. Stirton ◽  
A.M. Muasya
Keyword(s):  
South Africa ◽  
Soil Nutrients ◽  
Cape Peninsula

scholarly journals Home range utilization by chacma baboon (Papio ursinus) troops on Suikerbosrand Nature Reserve, South Africa

PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0194717 ◽  
Author(s):  
Kerry Slater ◽  
Alan Barrett ◽  
Leslie R. Brown
Keyword(s):  
South Africa ◽  
Home Range ◽  
Nature Reserve ◽  
Papio Ursinus ◽  
Chacma Baboon

Three new species of Lachenalia (Hyacinthaceae: Massonieae) from Western and Northern Cape, South Africa

Bothalia ◽  
2006 ◽  
Vol 36 (2) ◽  
pp. 147-155 ◽  
Author(s):  
G. D. Duncan ◽  
T. J. Edwards
Keyword(s):  
South Africa ◽  
New Species ◽  
Western Cape ◽  
Southwestern Part ◽  
Cape Peninsula ◽  
Northern Cape ◽  
Three New Species

This is the sixth in a series of papers on Lachenalia, towards a revision of the genus. Three new species are described. L. lutea from the southwestern part of the Western Cape, L. cernua from the southern Cape Peninsula and the Worcester Valley of the Western Cape, and L. nardousbergensis from the Bokkeveld Plateau of the Northern Cape, and the Nardousberge and Middelburg Plateaus of the Western Cape.

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