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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

Census 2011 overshadowed by vuvuzela announcements
2012-11-20

Mike Schüssler, economist
Photo: Hannes Pieterse
15 November 2012

Census 2011 contains good statistics but these are overshadowed by vuvuzela announcements and a selective approach, economist Mike Schüssler said at a presentation at the UFS.

“Why highlight one inequality and not another success factor? Is Government that negative about itself?” Mr Schüssler, owner of Economist.co.za, asked.

“Why is all the good news such as home ownership, water, lights, cars, cellphones, etc. put on the back burner? For example, we have more rooms than people in our primary residence. Data shows that a third of Africans have a second home. Why are some statistics that are racially based not made available, e.g. orphans? So are “bad” statistics not always presented?”

He highlighted statistics that did not get the necessary attention in the media. One such statistic is that black South Africans earn 46% of all income compared to 39% of whites. The census also showed that black South Africans fully own nearly ten times the amount of houses that whites do. Another statistic is that black South Africans are the only population group to have a younger median age. “This is against worldwide trends and in all likelihood has to do with AIDS. It is killing black South Africans more than other race groups.”

Mr Schüssler also gave insight into education. He said education does count when earnings are taken into account. “I could easily say that the average degree earns nearly five times more than a matric and the average matric earns twice the pay of a grade 11.”

He also mentioned that people lie in surveys. On the expenditure side he said, “People apparently do not admit that they gamble or drink or smoke when asked. They also do not eat out but when looking at industry and sector sales, this is exposed and the CPI is, for example, reweighted. They forget their food expenditure and brag about their cars. They seemingly spend massively on houses but little on maintenance. They spend more than they earn.”

“On income, the lie is that people forget or do not know the difference between gross and net salaries. People forget garnishee orders, loan repayments and certainly do not have an idea what companies pay on their behalf to pensions and medical aid. People want to keep getting social grants so they are more motivated to forget income. People are scared of taxes too so they lower income when asked. They spend more than they earn in many categories.”

On household assets Mr Schüssler said South Africans are asset rich but income poor. Over 8,3 million black African families stay in brick or concrete houses out of a total of 11,2 million total. About 4,9 million black families own their own home fully while only 502 000 whites do (fully paid off or nearly ten times more black families own their own homes fully). Just over 880 000 black South Africans are paying off their homes while 518 000 white families are.

Other interesting statistics are that 13,2 million people work, 22,5 million have bank accounts, 19,6 million have credit records. Thirty percent of households have cars, 90% of households have cellphones and 80% of households have TVs.
 

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