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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

Inaugural lecture: Prof. Phillipe Burger
2007-11-26

 

Attending the lecture were, from the left: Prof. Tienie Crous (Dean of the Faculty of Economic and Management Sciences at the UFS), Prof. Phillipe Burger (Departmental Chairperson of the Department of Economics at the UFS), and Prof. Frederick Fourie (Rector and Vice-Chancellor of the UFS).
Photo: Stephen Collet

 
A summary of an inaugural lecture presented by Prof. Phillipe Burger on the topic: “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

South African business cycle shows reduction in volatility

Better monetary policy and improvements in the financial sector that place less liquidity constraints on individuals is one of the main reasons for the reduction in the volatility of the South African economy. The improvement in access to the financial sector also enables individuals to manage their debt better.

These are some of the findings in an analysis on the volatility of the South African business cycle done by Prof. Philippe Burger, Departmental Chairperson of the University of the Free State’s (UFS) Department of Economics.

Prof. Burger delivered his inaugural lecture last night (22 November 2007) on the Main Campus in Bloemfontein on the topic “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

In his lecture, Prof. Burger emphasised a few key aspects of the South African business cycle and indicated how it changed during the periods 1960-1976, 1976-1994 en 1994-2006.

With the Gross Domestic Product (GDP) as an indicator of the business cycle, the analysis identified the variables that showed the highest correlation with the GDP. During the periods 1976-1994 and 1994-2006, these included durable consumption, manufacturing investment, private sector investment, as well as investment in machinery and non-residential buildings. Other variables that also show a high correlation with the GDP are imports, non-durable consumption, investment in the financial services sector, investment by general government, as well as investment in residential buildings.

Prof. Burger’s analysis also shows that changes in durable consumption, investment in the manufacturing sector, investment in the private sector, as well as investment in non-residential buildings preceded changes in the GDP. If changes in a variable such as durable consumption precede changes in the GDP, it is an indication that durable consumption is one of the drivers of the business cycle. The up or down swing of durable consumption may, in other words, just as well contribute to an up or down swing in the business cycle.

A surprising finding of the analysis is the particularly strong role durable consumption has played in the business cycle since 1994. This finding is especially surprising due to the fact that durable consumption only constitutes about 12% of the total household consumption.

A further surprising finding is the particularly small role exports have been playing since 1960 as a driver of the business cycle. In South Africa it is still generally accepted that exports are one of the most important drivers of the business cycle. It is generally accepted that, should the business cycles of South Africa’s most important trade partners show an upward phase; these partners will purchase more from South Africa. This increase in exports will contribute to the South African economy moving upward. Prof. Burger’s analyses shows, however, that exports have generally never fulfil this role.

Over and above the identification of the drivers of the South African business cycle, Prof. Burger’s analysis also investigated the volatility of the business cycle.

When the periods 1976-1994 and 1994-2006 are compared, the analysis shows that the volatility of the business cycle has reduced since 1994 with more than half. The reduction in volatility can be traced to the reduction in the volatility of household consumption (especially durables and services), as well as a reduction in the volatility of investment in machinery, non-residential buildings and transport equipment. The last three coincide with the general reduction in the volatility of investment in the manufacturing sector. Investment in sectors such as electricity and transport (not to be confused with investment in transport equipment by various sectors) which are strongly dominated by the government, did not contribute to the decrease in volatility.

In his analysis, Prof. Burger supplies reasons for the reduction in volatility. One of the explanations is the reduction in the shocks affecting the economy – especially in the South African context. Another explanation is the application of an improved monetary policy by the South African Reserve Bank since the mid 1990’s. A third explanation is the better access to liquidity and credit since the mid 1990’s, which enables the better management of household finance and the absorption of financial shocks.

A further reason which contributed to the reduction in volatility in countries such as the United States of America’s business cycle is better inventory management. While the volatility of inventory in South Africa has also reduced there is, according to Prof. Burger, little proof that better inventory management contributed to the reduction in volatility of the GDP.

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