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17 January 2020 | Story Leonie Bolleurs | Photo Leonie Bolleurs
Prof Aliza le Roux and Dr Mpho Romoejane
Prof Aliza le Roux and Dr Mpho Ramoejane (camera-trap expert) at a wetland area in the Golden Gate National Park, searching for the rare white-winged flufftail.

The White-winged Flufftail, a highly endangered bird species, was spotted less than 70 km from the UFS Qwaqwa Campus, home of the Afromontane Research Unit (ARU). In collaboration with BirdLife South Africa, the ARU is conducting a study to find out if this species also made its home in the Golden Gate Highlands National Park.

This rare species has so far only been found at three sites in South Africa.


Study to benefit local community

One of the ARU’s goals is to undertake research that will benefit the local communities, including SANParks. Should it be confirmed that these rare birds are also found in the area, the status of the Golden Gate Highlands National Park in the Important Birding Area (IBA) directory is likely to increase.

Prof Aliza le Roux, Associate Professor in the Department of Zoology and Entomology on the Qwaqwa Campus of the University of the Free State (UFS) and affiliated to the ARU, is conducting the study. She is also involved in other wetland studies.

According to Prof Le Roux, it is very difficult to find the bird. In a study, Prof Le Roux, Dr Sandy-Lynn Steenhuisen (botanist in the Department of Plant Sciences), and Dr Ralph Clark (ARU Director) have been deploying song meters in a rolling grid in the wetland areas, recording all bird noises around dawn and dusk. This is a non-invasive method to record bird sounds and helps to maintain the health of wetlands.

With these song meters they are trying to create a soundscape of the wetlands, recording all the sounds of the area by changing the location of the song meters every two weeks to cover the entire 2 km-long wetland area. Soundscape ecology is a fairly new technique and could be an effective way of measuring wetland health in high-altitude settings.

“In contrast with camera traps, song meters do not need a direct line of sight to record the presence of a specific bird – it can pick up songs from 150 m away in all directions. Camera traps may, however, be useful for adding visual confirmation of any bird’s presence, which is useful for a species that has only been heard a few times. In fact, no recording of the White-winged Flufftail’s call is currently in the public domain,” says Dr Le Roux.


Collaboration with Japanese university

Using these recordings from the soundscape, the team identifies the different bird, frog, and insect sounds recorded. According to Prof Le Roux, they are fairly new to the process and she would like to learn more, specifically about the analysis of the song diversity. She is visiting researchers at the Okinawa Institute of Science and Technology (OIST) in Japan in early December to investigate the variety of tools available to effectively analyse terabytes of acoustic data. Researchers at OIST have done similar studies on soundscapes in Okinawa along an urban gradient, and their expertise as well as access to a supercomputer could boost this research significantly.

The Qwaqwa area is on the border of the White-winged Flufftail’s expected distribution range.

“Because they and their habitat are threatened,
we are not sure if they are in the area;
and whether they may only be here to breed.”
—Prof Aliza Le Roux,
Associate Professor, UFS.


“If we find that they did make the park their home, they will be more protected, as the park is a conservation area.”


Grasslands

Prof Aliza le Roux and Dr Mpho Ramoejane (camera-trap expert) at a wetland area in the Golden Gate National Park. The wetlands often get trampled, affecting the condition of the area. Interestingly, trampling improves conditions for flufftails, as the cattle open up spaces between the reeds.

Photo: Leonie Bolleurs

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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