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12 October 2020 | Story Leonie Bolleurs | Photo Supplied
Adriaan van der Walt
Although several international studies have used temperature metrics to statistically classify their seasonal divisions, a study in which Adriaan van der Walt was involved, would be the first known publication in a South African context using temperature as classification metric.

Gone are the days when we as South Africans would experience a three-month spring season, easing into summer, and then cooling off for three months before we hit winter.

Adriaan van der Walt, Lecturer in the Department of Geography at the University of the Free State (UFS), focuses his research on biometeorology (a specialist discipline exploring the role and climate change in physical and human environments) as well as climatology and geographic information systems.

He recently published an article: ‘Statistical classification of South African seasonal divisions on the basis of daily temperature data’ in the South African Journal of Science.

In this study, which Van der Walt undertook with Jennifer Fitchett, a colleague from the University of the Witwatersrand, data on daily maximum and minimum temperatures was collected from 35 meteorological stations of the South African Weather Service, covering the period between 1980 and 2015.

They went to great lengths to ensure that they had a complete set of data before presenting it to demonstrate seasonal brackets.

First for South Africa

Their statistical seasonal brackets indicate that South Africans now experience longer summers (from October to March), autumn in April and May, winter from June to August, and spring in September.

Although considerable work has been done using rainfall to determine seasonality in Southern Africa, Van der Walt believes that these methods did not work well as there are too many inconsistencies in this approach, as identified by Roffe et al. (2019, South African Geographical Journal). To make matters more complicated – as a semi-arid region, and with desert conditions along the west coast – some regions do not have enough rainfall to use as a classifier.

Temperature, on the other hand, worked well in this study. “Temperature, by contrast, is a continuous variable, and in Southern Africa has sufficient seasonal variation to allow for successful classification,” says Van der Walt.

He continues: “Although several international studies used temperature metrics to statistically classify their seasonal divisions, this study would be the first known publication in a South African context using temperature as classification metric.”

Van der Walt says what we understand as seasons largely relates to phenology – the appearance of blossoms in spring, the colouration and fall of leaves in autumn, and the migration of birds as a few examples. “These phenological shifts are more sensitive to temperature than other climatic variables.”

Seasonal brackets

According to Van der Walt, they believe that a clearly defined and communicated method should be used in defining seasons, rather than just assigning months to seasons.

“One of the most important arguments of our work is that one needs to critically consider breaks in seasons, rather than arbitrarily placing months into seasons, and so we welcome any alternate approaches,” he says.

A number of sectors apply the temperature-based division to their benefit. “For example, in the tourism sector it is becoming increasingly important to align advertising with the season most climatically suitable for tourism,” says Van der Walt.

Temperature-based division is also used to develop adaptive strategies to monitor seasonal changes in temperature under climate change. However, Van der Walt points out that each sector will have its own way of defining seasons. “Seasonal boundaries should nevertheless be clearly communicated with the logic behind them,” he says.

News Archive

UFS scientists involved in groundbreaking research to protect rhino horns
2010-07-27

Pictured from the left are: Prof. Paul Grobler (UFS), Prof. Antoinette Kotze (NZG) and Ms. Karen Ehlers (UFS).
Photo: Supplied

Scientists at the University of the Free State (UFS) are involved in a research study that will help to trace the source of any southern white rhino product to a specific geographic location.

This is an initiative of the National Zoological Gardens of South Africa (NZG).

Prof. Paul Grobler, who is heading the project in the Department of Genetics at the UFS, said that the research might even allow the identification of the individual animal from which a product was derived. This would allow law enforcement agencies not only to determine with certainty whether rhino horn, traded illegally on the international black market, had its origin in South Africa, but also from which region of South Africa the product came.

This additional knowledge is expected to have a major impact on the illicit trade in rhino horn and provide a potent legal club to get at rhino horn smugglers and traders.

The full research team consists of Prof. Grobler; Christiaan Labuschagne, a Ph.D. student at the UFS; Prof. Antoinette Kotze from the NZG, who is also an affiliated professor at the UFS; and Dr Desire Dalton, also from the NZG.

The team’s research involves the identification of small differences in the genetic code among white rhino populations in different regions of South Africa. The genetic code of every species is unique, and is composed of a sequence of the four nucleotide bases G, A, T and C that are inherited from one generation to the next. When one nucleotide base is changed or mutated in an individual, this mutated base is also inherited by the individual's progeny.

If, after many generations, this changed base is present in at least 1% of the individuals of a group, it is described as a single nucleotide polymorphism (SNP), pronounced "snip". Breeding populations that are geographically and reproductively isolated often contain different patterns of such SNPs, which act as a unique genetic signature for each population.

The team is assembling a detailed list of all SNPs found in white rhinos from different regions in South Africa. The work is done in collaboration with the Pretoria-based company, Inqaba Biotech, who is performing the nucleotide sequencing that is required for the identification of the SNPs.

Financial support for the project is provided by the Advanced Biomolecular Research cluster at the UFS.

The southern white rhino was once thought to be extinct, but in a conservation success story the species was boosted from an initial population of about 100 individuals located in KwaZulu-Natal at the end of the 19th century, to the present population of about 15 000 individuals. The southern white rhino is still, however, listed as “near threatened” by the World Wildlife Fund (WWF).

Media Release:
Mangaliso Radebe
Assistant Director: Media Liaison
Tel: 051 401 2828
Cell: 078 460 3320
E-mail: radebemt@ufs.ac.za 
27 July 2010



 

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