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23 September 2020 | Story Leonie Bolleurs | Photo Supplied
Zama Sithole

Zama Sithole, a master’s student in Environmental Managementat the University of the Free State (UFS), would one day like to assist communal artisanal small-scale miners (ASM) to legalise their work. Although the ASMs are not involved in turf wars or criminality as in the case of zama-zamas, they are deemed illegal workers.

The prime mining legislation, the Mineral and Petroleum Resources Development Act, makes no provision for subsistence or communal ASM activities. Such miners are therefore considered illegal miners.

“ASM employs more than 20 million people globally and a country such as South Africa, with an unemployment rate of 30,1%, should assimilate this type of mining as a legal form of employment,” says Zama.

“Their only client base is the surrounding communities. Mining, besides government grants, is their only source of income.”

Zama aspires to assist the illegal miners to become legal and reap the benefits of skills and funding to increase their income.

“And guidance from the regulatory authorities will ensure that the communal ASM miners become more aware of environmental management,” she adds.

Zama recently presented her research, titled: Shortcomings of the South African Legislative Framework in Addressing Communal Artisanal Small-scale Mining: A Blaauwbosch Case Studyat the 2020 Environmental Law Association (ELA) Annual Student Conference.

She also received the award for Best Speaker at the conference.

In her research, Zama focuses on Blaauwbosch, a rural township area located south-east of Newcastle in northern KwaZulu-Natal, where subsistence coal and clay opencast mining by community members has been going on for more than four decades.

Environmental degradation

According to the Mineral and Petroleum Resources Development Act, mining is only deemed legal if there is a mining permit, mining right, production right or preferent mining right authorised by the Department of Mineral Resources. Since communal ASMs are unregulated, environmental degradation is rife.

According to her investigation, environmental hazards such as traces of acid mine drainage and poor air quality (due to spontaneous combustion), are localised in the area. This is a deterrent to the surrounding community that has minimal health and safety awareness.

Owing to the fact that communal ASM miners are not assimilated into the legislation, the competent authorities such as the Department of Mineral Resources and Energy and the Department of Water and Sanitation cannot offer mineral regulation and environmental guidance support.

Losing revenue

Zama says government is also losing revenue by not legalising this unique sector. She believes it is important to differentiate between communal ASMs and the ‘zama-zama’ type of mining.
 
She also found that according to the Mining and Minerals Policy (1998), “regulations in respect of mining should be relevant, understandable and affordable to the small-scale miner and should be enforced in a site-specific manner.” ... “Tax and royalty rates, levies, and financial guarantees for rehabilitation should not constrain the development of small-scale operations.”

“However, to date, this has not been realised,” Zama states.

Communal ASM miners thus cannot benefit from government-funded initiatives to upskill them in terms of mining and environmental management.

Making a difference

Zama plans to conduct more research to understand the dynamics of how other countries have legalised this sector and draw learnings from this to determine how it can be applied in the South African context.

“In our country, there is very limited data and hence understanding on communal ASM. This could be one of the reasons why the government cannot make an informed decision on how to legalise this sector,” she says.

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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