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31 March 2025 | Story Andre Damons | Photo Andre Damons
Prof Aliza le Roux
Prof Aliza le Roux, Assistant Dean of the Faculty of Natural and Agricultural Sciences and Professor in the Department of Zoology and Entomology, at the Southern African Mountain Conference (SAMC2025).

Animals in mountainous areas around the world, in particular endangered, vulnerable, and near threatened mammals, are at risk of becoming roadkill as road networks expand further into these previously inaccessible terrains.

These mammals, which fall into the category of conservation risk according to the International Union for Conservation of Nature (IUCN) definitions, include African wild dogs (endangered), lions and leopards (both vulnerable), elephants (endangered), and honey badgers (NT – near threatened). Among the road-killed birds found in these areas are the hooded vulture (critically endangered) and the endangered steppe eagle.

This is according to Prof Aliza le Roux, Assistant Dean of the Faculty of Natural and Agricultural Sciences and Professor in the Department of Zoology and Entomology, who presented research during a session at the Southern African Mountain Conference (SAMC2025). Prof Le Roux, a behavioural ecologist studying how animals respond to risks and opportunities in the environment, did an oral presentation titled Patterns of wildlife-vehicle collision in montane environments during a session on Mountain biodiversity: animals.

The conference, under the patronage of UNESCO and organised by the University of the Free State (UFS) Afromontane Research Unit (ARU) – in partnership with the African Mountain Research Foundation (AMRF) and the Global Mountain Safeguard Research Programme (GLOMOS) – brought together researchers, policy makers, and practitioners from across Southern Africa and beyond. It delved into critical issues around mountain ecosystems, communities, governance, and transboundary cooperation.

For the research, Prof Le Roux, Dr Katlego Mashiane, Lecturer in the UFS Department of Geography, and Dr Clara Grilo from the BIOPOLIS project in Portugal, looked for published data/papers from 1971 to 2024, finding that most of the published literature on roadkill in Africa came from the 21st Century.

 

Heightens risks to wildlife

According to her, they found that amphibians were killed at the highest rate in the mountainous regions, while mammals were killed most frequently in the low-lying regions. Mammalian species classified as near threatened or more vulnerable to extinction on the IUCN Red List were most frequently found in the high-elevation mountains (7,7% of species killed in these areas), but also in low-lying areas (3,8% of mammalian roadkill). About 3% of the birds killed at moderate elevations were also of conservation concern.

“Increased vehicular traffic and better-paved roads in montane environments heighten the risks to wildlife inhabiting these regions, including the potential for more wildlife-vehicle collisions, leading to higher mortality rates. In terms of sheer numbers, many more small species (less than 1 kg in adult weight) are killed than larger species. This is probably because we either don’t see them or don’t care if we hit them. But we do care if our cars collide with something large like an eland – it does damage to us as well as them.”

“Unpredictable weather patterns and sudden topographical changes all contribute to these roads potentially being more hazardous for both drivers and any surrounding wildlife: the ruggedness of these terrains and tortuosity of roads can make it harder for drivers and wild animals to detect one another on mountain roads, increasing the likelihood of collisions,” writes Prof Le Roux and her colleagues.

The researchers estimated the roadkill rates for each observed species and then analysed the correlation with topographic aspects of the study sites. They used the 90m digital elevation model downloaded from the geospatial cloud-computing platform Google Earth Engine and classified ‘high’ elevation mountains as regions lying above 2 000 metres above sea level (masl), ‘moderate’ elevation mountains as lying between 1 500 and 2 000 masl, and ‘low’ regions as areas below 1 500 masl.

 

Limited data

Prof Le Roux and Dr Mashiane also extracted slope and the topographic ruggedness index. Roadkill rates were estimated for 15 different amphibian species, 98 reptilian, 261 avian, and 273 mammalian species, comprising 5 549 individual road kills.

“These findings indicate that roads in mountainous African regions pose a high risk to our indigenous wildlife. The accidents in mountainous areas are something to be aware of, as we are moving further into mountains where there is often vulnerable and unique biodiversity. When we do kill vertebrates through a collision, it is often a species that we would not find in low-lying areas.”

Unfortunately, Prof Le Roux says, they cannot say what the continental patterns are because so little data is available about biodiversity and roadkill patterns in the central and western parts of the continent. The data they found came from only 10 countries, and almost none of the studies took the form of systematic, longitudinal monitoring. The data sets were all ‘snapshots’ of roadkill in specific areas.

News Archive

Fight against Ebola virus requires more research
2014-10-22

 

Dr Abdon Atangana
Photo: Ifa Tshishonge
Dr Abdon Atangana, a postdoctoral researcher in the Institute for Groundwater Studies at the University of the Free State (UFS), wrote an article related to the Ebola virus: Modelling the Ebola haemorrhagic fever with the beta-derivative: Deathly infection disease in West African countries.

“The filoviruses belong to a virus family named filoviridae. This virus can cause unembellished haemorrhagic fever in humans and nonhuman monkeys. In literature, only two members of this virus family have been mentioned, namely the Marburg virus and the Ebola virus. However, so far only five species of the Ebola virus have been identified, including:  Ivory Coast, Sudan, Zaire, Reston and Bundibugyo.

“Among these families, the Ebola virus is the only member of the Zaire Ebola virus species and also the most dangerous, being responsible for the largest number of outbreaks.

“Ebola is an unusual, but fatal virus that causes bleeding inside and outside the body. As the virus spreads through the body, it damages the immune system and organs. Ultimately, it causes the blood-clotting levels in cells to drop. This leads to severe, uncontrollable bleeding.

Since all physical problems can be modelled via mathematical equation, Dr Atangana aimed in his research (the paper was published in BioMed Research International with impact factor 2.701) to analyse the spread of this deadly disease using mathematical equations. We shall propose a model underpinning the spread of this disease in a given Sub-Saharan African country,” he said.

The mathematical equations are used to predict the future behaviour of the disease, especially the spread of the disease among the targeted population. These mathematical equations are called differential equation and are only using the concept of rate of change over time.

However, there is several definitions for derivative, and the choice of the derivative used for such a model is very important, because the more accurate the model, the better results will be obtained.  The classical derivative describes the change of rate, but it is an approximation of the real velocity of the object under study. The beta derivative is the modification of the classical derivative that takes into account the time scale and also has a new parameter that can be considered as the fractional order.  

“I have used the beta derivative to model the spread of the fatal disease called Ebola, which has killed many people in the West African countries, including Nigeria, Sierra Leone, Guinea and Liberia, since December 2013,” he said.

The constructed mathematical equations were called Atangana’s Beta Ebola System of Equations (ABESE). “We did the investigation of the stable endemic points and presented the Eigen-Values using the Jacobian method. The homotopy decomposition method was used to solve the resulted system of equations. The convergence of the method was presented and some numerical simulations were done for different values of beta.

“The simulations showed that our model is more realistic for all betas less than 0.5.  The model revealed that, if there were no recovery precaution for a given population in a West African country, the entire population of that country would all die in a very short period of time, even if the total number of the infected population is very small.  In simple terms, the prediction revealed a fast spread of the virus among the targeted population. These results can be used to educate and inform people about the rapid spread of the deadly disease,” he said.

The spread of Ebola among people only occurs through direct contact with the blood or body fluids of a person after symptoms have developed. Body fluid that may contain the Ebola virus includes saliva, mucus, vomit, faeces, sweat, tears, breast milk, urine and semen. Entry points include the nose, mouth, eyes, open wounds, cuts and abrasions. Note should be taken that contact with objects contaminated by the virus, particularly needles and syringes, may also transmit the infection.

“Based on the predictions in this paper, we are calling on more research regarding this disease; in particular, we are calling on researchers to pay attention to finding an efficient cure or more effective prevention, to reduce the risk of contamination,” Dr Atangana said.


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