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The contribution of seasonal climate forecasts to the management of agricultural disaster-risk in South Africa

A thesis submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Doctor of Philosophy. July 2014. / South Africa’s climate is highly variable, implying that the national agricultural
sector should make provision to have early warning services in place in order to
reduce the risks of disasters. More than 70% of natural disasters worldwide are
caused by weather and climate or weather and climate related hazards. Reliable
Seasonal Climate Forecasting (SCF) for South Africa would have the potential to be
of great benefit to users in addressing disaster risk reduction. A disaster is a serious
disruption of the functioning of a community or a society, causing widespread
human, material, economic or environmental losses, which exceed the ability of the
affected community or society to cope when using their own resources. The negative
impacts on agricultural production in South Africa due to natural disasters including
disasters due to increasing climate variability and climate change are critical to the
sector.
The hypothesis assumed in the study is the improved early warning service and better
SCF dissemination lead to more effective and better decision making for subsequent
disaster risk reduction in the agricultural sector. The most important aspect of
knowledge management in early warning operations is that of distributing the most
useful service to the target group that needs it at the right time. This will not only
ensure maximum performance of the entity responsible for issuing the early
warnings, but will also ensure the maximum benefit to the target group.
South Africa is becoming increasingly vulnerable to natural disasters that are afflicted
by localised incidents of seasonal droughts, floods and flash floods that have
devastating impacts on agriculture and food security. Such disasters might affect
agricultural production decisions, as well as agricultural productivity. Planting dates
and plant selection are decisions that depend on reliable and accurate meteorological
and climatological knowledge and services for agriculture. Early warning services
that could be used to facilitate informed decision making includes advisories on
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future soil moisture conditions in order to determine estimated planting times, on
future grazing capacity, on future water availability and on forecasts of the following
season’s weather and climate, whenever that is possible. The involvement of
government structures, obviously, is also critical in immediate responses and long term
interventions.
The importance of creating awareness, of offering training workshops on climate
knowledge and SCF, and of creating effective early warning services dissemination
channels is realized by government. This is essential in order to put effective early
warning services in place as a disaster-risk coping tool. Early warning services,
however, can only be successful if the end-users are aware of what early warning
systems, structures and technologies are in place, and if they are willing that those
issuing the early warning services become involved in the decision-making process.
Integrated disaster-risk reduction initiatives in government programmes, effective
dissemination structures, natural resource-management projects and communityparticipation
programmes are only a few examples of actions that will contribute to
the development of effective early warning services, and the subsequent response to
and adoption of the advices/services strategies by the people most affected. The
effective distribution of the most useful early warning services to the end-user, who
needs it at the right time through the best governing structures, may significantly
improve decision making in the agricultural, food security and other water-sensitive
sectors. Developed disaster-risk policies for extension and farmers as well as other
disaster prone sectors should encourage self-reliance and the sustainable use of
natural resources, and will reduce the need for government intervention.
The SCF producers (e.g. the South African Weather Service (SAWS)) have issued
new knowledge to intermediaries for some years now, and it is important to
determine whether this knowledge has been used in services, and if so whether these
services were applied effectively in coping with disaster-risks and in disaster
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reduction initiatives and programmes. This study for that reason also intends to do an
evaluation of the knowledge communication processes between forecasters, and
intermediaries at national and provincial government levels. It therefore, aims to
assess and evaluate the current knowledge communication structures within the
national agricultural sector, seeking to improve disaster-risk reduction through
effective early warning services. A boundary organisation is an organization which
crosses the boundary between science, politics and end-users as they draw on the
interests and knowledge of agencies on both sides to facilitate evidence base and
socially beneficial policies and programmes.
Reducing uncertainty in SCF is potentially of enormous economic value especially to
the rural communities. The potential for climate science to deliver reduction in total
SCF uncertainty is associated entirely with the contributions from internal variability
and model uncertainty. The understanding of the limitations of the SCFs as a result of
uncertainties is very important for decision making and to end-users during planning.
Disappointing, however, is that several studies have shown a fairly narrow group of
potential users actually receive SCFs, with an even a smaller number that makes use
of these forecasts
In meeting the objectives of the study the methodology to be followed is based on
knowledge communication. For that reason two types of questionnaires were drafted.
Open and closed questionnaires comprehensively review the knowledge,
understanding, interpretation of SCFs and in early warning services distribution
channels. These questionnaires were administered among the SCF producers and
intermediaries and results analysed.
Lastly the availability of useful SCFs knowledge has important implications for
agricultural production and food security. Reliable and accurate climate service, as
one of the elements of early warning services, will be discussed since they may be
used to improve agricultural practices such as crop diversification, time of planting
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and changes in cultivation practices. It was clear from the conclusions of the study
that critical elements of early warning services need to receive focused attention such
as the SCF knowledge feedback programme should be improved by both seasonal
climate producers and intermediaries, together with established structures through
which reliable, accurate and timely early warning services can be disseminated. Also
the relevant dissemination channels of SCFs are critical to the success of effective
implementation of early warning services including the educating and training of
farming communities.
The boundary organisation and early warning structures are important in effective
implementation of risk reduction measures within the agricultural sector and thus
need to be prioritised. Enhancing the understandability and interpretability of SCF
knowledge by intermediaries will assist in improving action needed to respond to
SCFs. Multiple media used by both SCF producers and intermediaries in
disseminating of SCFs should be accessible by all users and end-users. The
Government should ensure that farming communities are educated, trained and well
equipped to respond to risks from natural hazards.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/16916
Date06 February 2015
CreatorsKgakatsi, Ikalafeng Ben
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Formatapplication/pdf, application/pdf

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