Access to Weather Forecasting and Early Warning Information by Communal Farmers in Seke and Murewa Districts, Zimbabwe

Type Journal Article - Journal of Human Ecology
Title Access to Weather Forecasting and Early Warning Information by Communal Farmers in Seke and Murewa Districts, Zimbabwe
Author(s)
Volume 48
Issue 3
Publication (Day/Month/Year) 2014
Page numbers 357-366
URL http://www.krepublishers.com/02-Journals/JHE/JHE-48-0-000-14-Web/JHE-48-3-000-14-Abst-PDF/JHE-48-3-3​57-14-2653-Mudombi-S/JHE-48-3-357-14-2653-Mudombi-S-Tx[2].pdf
Abstract
In the context of current climate variability and the projected climate change there is need to
strengthen the resilience of communities particularly those whose livelihoods are highly sensitive to change.
Climate change is likely to result in increased frequency and intensity of weather and climate extremes. The first
objective of the present research was to analyze how communal farmers in Seke and Murewa districts of Zimbabwe
accessed weather forecasting and early warning information. The second objective was to assess how access to such
information influenced their farming decisions. The data was collected in 2011, using a general survey of 300
communal farmers and interviewing key informants. The findings show that the two districts are and will be more
vulnerable to dry spells, droughts and to some extent, violent storms. There was a general lack of access to timely,
reliable rainfall forecasts and early warning information on droughts and violent storms. For those that had access
to the information, the main channels that transmitted the information were the radio, extension, the television,
and the farmers enquiring directly. The radio was the most important channel. Besides, the information being
perceived as not very reliable, it played a significant role in the decision-making process of farmers, particularly,
when deciding the time to plant and choosing crop varieties. A serious constraint for the farmers was lack of
complementary information, inputs and technology that could be used to adjust their farming operations, in line
with the forecasts.

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