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26 October 2021 | Story Nonsindiso Qwabe | Photo Nonsindiso Qwabe
From the right: Dr Ralph Clark,, with fellow researchers, Dr Stephanie Payne, Dr Sandy-Lynn Steenhuisen, Dr Onalenna Gwate and Evelin Iseli, a Swiss PhD student on RangeX at the open top chambers on the Maloti-Drakensberg mountain range.

What impact has global change had on alpine vegetation in our own mountains and those around the world, and why are certain plants in mountains around the world rapidly expanding their ranges?

This is the question on which the Afromontane Research Unit (ARU) on the Qwaqwa Campus will be shining the research lens over the next three years, through Project ‘RangeX’, a multi-institutional research consortium under the Mountain Invasive Research Network (MIREN), with ETH Zurich (Switzerland) leading the research project. The project is underway in the Witsieshoek area of the Free State component of the Maloti-Drakensberg, as part of a global consortium to better understand the ecological drivers of range-expanding plant species in mountains around the world.

South Africa’s participation in the project is led by the ARU Director, Dr Ralph Clark. Other RangeX partners are Germany, Norway, Sweden, Denmark, Australia, China, Chile, and France, with research locations in the Swiss Alps, Himalayas, Andes, Australian Alps, and Scandes.

The official launch of the research site for the Maloti-Drakensberg mountains, which took place on 20 October, marked the beginning of the South African component of globally coordinated research to understand how range-expanding species may affect current alpine environments under future climatic conditions. The launch involved a site visit to the summit of the Maloti-Drakensberg. Situated at 3 100 m above sea level in the Witsieshoek area, the research seeks to determine whether typical range-expanding species might colonise the alpine zone above 2 800 m under a simulated future warmer climate. 

The South African component of RangeX is funded by the Department of Science and Innovation (DSI) through BiodivERsA, an initiative of the European Union’s Horizon 2020, which promotes research on biodiversity and ecosystem services and offers innovative opportunities for the conservation and sustainable management of biodiversity.
Speaking at the launch of the project, Dr Clark said the alpine zone of the Maloti-Drakensberg is an ecologically severe environment, resulting in only specialised species being found above 2 800 m. “However, with climate warming, it can be expected that many lower elevation plants might start to ‘climb’ the mountain and invade its upper reaches. This will have a major impact on ecology, livelihoods, endemic alpine species, and water production.”

This is the first time that such experiments will be undertaken in the alpine context of the Maloti-Drakensberg, Dr Clark explained. The ARU is using this project to promote an ambitious and long-term alpine research programme centred on the Mont-aux-Sources area, where the Free State, KwaZulu-Natal, and Lesotho meet.  

Toto Matshediso, Deputy Director: Strategic Partnerships at DSI, said the Range X project with South African funding from the DSI was aligned with the departmental priorities for investment in global change and biodiversity research and innovation. 

“The research conducted is strengthening international cooperation in terms of research collaboration with its European Union partners as a region, as well as bilateral partners involved in the project. The project is also located in an area that has been historically disadvantaged, and the DSI is proud to be part of contributors to mountain research initiatives and direct contribution to the local community. The project also places the spotlight on the rich biodiversity data of the area, and how it could contribute to the overall government priorities regarding biodiversity.”

News Archive

Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03

 Description: Lisa read more Tags: Plant disease, Lisa Ann Rothman, Department of Plant Sciences, 3 Minute Thesis,  

Lisa Ann Rothman, researcher in the Department of
Plant Sciences.
Photo: Supplied

 


Plant disease epidemics have wreaked havoc for many centuries. Notable examples are the devastating Great Famine in Ireland and the Witches of Salem. 

Plant diseases form, due to a reaction to suitable environments, when a susceptible host and viable disease causal organism are present. If the interactions between these three factors are monitored over space and time the outcome has the ability to form a “simplification of reality”. This is more formally known as a plant disease model. Lisa Ann Rothman, a researcher in the Department of Plant Sciences at the University of the Free State (UFS) participated in the Three Minute Thesis competition in which she presented on Using mathematical models to predict plant disease. 

Forecast models provide promise fighting plant diseases
The aim of Lisa’s study is to identify weather and other driving variables that interact with critical host growth stages and pathogens to favour disease incidence and severity, for future development of risk forecasting models. Lisa used the disease, sorghum grain mold, caused by colonisation of Fusarium graminearum, and concomitant mycotoxin production to illustrate the modelling process. 

She said: “Internationally, forecasting models for many plant diseases exist and are applied commercially for important agricultural crops. The application of these models in a South African context has been limited, but provides promise for effective disease intervention technologies.

Contributing to the betterment of society
“My BSc Agric (Plant Pathology) undergraduate degree was completed in combination with Agrometeorology, agricultural weather science. I knew that I wanted to combine my love for weather science with my primary interest, Plant Pathology. 
“My research is built on the statement of Lord Kelvin: ‘To measure is to know and if you cannot measure it, you cannot improve it’. Measuring the changes in plant disease epidemics allows for these models to be developed and ultimately provide practical solutions for our farmers. Plant disease prediction models have the potential ability to reduce the risk for famers, allowing the timing of fungicide applications to be optimised, thus protecting their yields and ultimately their livelihoods. I am continuing my studies in agriculture in the hope of contributing to the betterment of society.” 

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