The Impact of Climate Variability on Food Security and Coping Mechanisms of Farmers in Boricha District Southern Ethiopia
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International Journal of Atmospheric and Oceanic Sciences 2021; 5(2): 29-41 http://www.sciencepublishinggroup.com/j/ijaos doi: 10.11648/j.ijaos.20210502.13 ISSN: 2640-1142 (Print); ISSN: 2640-1150 (Online) The Impact of Climate Variability on Food Security and Coping Mechanisms of Farmers in Boricha District Southern Ethiopia Berhanu Majo Biology Department, Hawassa College of Teacher Education, Hawassa, Ethiopia Email address: To cite this article: Berhanu Majo. The Impact of Climate Variability on Food Security and Coping Mechanisms of Farmers in Boricha District Southern Ethiopia. International Journal of Atmospheric and Oceanic Sciences. Vol. 5, No. 2, 2021, pp. 29-41. doi: 10.11648/j.ijaos.20210502.13 Received: June 27, 2021; Accepted: July 16, 2021; Published: August 27, 2021 Abstract: The rapid growth of greenhouse gas emissions as a result of human activities such as burning fossil fuels is raising the Earth’s temperature and leading to climate change. This results in variability in precipitation, the prevalence of more extreme weather events, and shifting seasons. The accelerating pace of climate change, combined with population growth, will also threaten food security. Climate change will result in irreparable ecological degradation and possibly the reduction of agricultural productivity in many parts of the World with serious consequences for food security. This paper investigated the impacts of climate variability on food security and coping mechanisms of farmers in Boricha district of Ethiopia by using meteorological, agricultural and socio-economic survey data. The study employed various data analysis methods such as computing the coefficient of rainfall variability, estimating the impact of rainfall and temperature change on agricultural productivity, and analyzing coping strategies of the local communities in response to climate extreme events. The coefficient of rainfall variation results show that rainfall variability has significant and negative impacts on agricultural productivity in the Boricha district. Moreover, linear regression model outputs for the relationship between rainfall and crop yields indicate that rainfall variability has been significantly affecting agricultural productivity in the district. Results from the multinomial logistic model for multi-choice coping/adaptation mechanisms also show that different socio- economic factors such as education level and age of household head, family size, farm income and livestock ownership affect how households cope with extreme climate events. This research suggests that policies should introduce adaptation measures outlined by existing rural communities such as inter-cropping, livelihood diversification and early maturing crops to incorporate indigenous knowledge to ensure food security and sustain the economic growth of the country. Keywords: Climate Change, Food Security, Coping Mechanisms, Agricultural Productivity, Impact, Regression Models, Boricha human-related influences. 1. Introduction Humans are relatively new comers in the vast scale of the The environment of our planet is in a state of continuous Earth’s geological history, but we have become agents of change at alarming rate. United State Global Change environmental change, at least on timescales of decades to Research Program (USGCRP) [20] stated that climate system centuries. Although some early societies had negative is highly variable, with conditions changing significantly impacts on their surroundings, others lived in relative over the span of seasons, from year to year, and over longer harmony with nature. In modern times, however, growing timescales. Many scientific observations indicate that the human populations and the power of our technology have Earth may be undergoing a period of relatively rapid change heightened concern about what we are doing to our on timescales of decades to centuries, when compared to environment [2]. historical rates of change. Much scientific evidences also Human influences include industrial activities which emit indicate that these changes are the results of both natural and a variety of atmospheric pollutants, burning of fossil fuels International Journal of Atmospheric and Oceanic Sciences 2021; 5(2): 29-41 30 which lead to emission of greenhouse gases (GHGs), experienced considerable water stress as a result of alteration of the land’s surface for example due to insufficient and unreliable rainfall, changing rainfall patterns, deforestation, burning of biomass and vegetation which also inadequate storage and uneven distribution of rain during the produce GHGs and particulate soot, agricultural practices year. For Africa, it is estimated that 25% of the population which produce methane (CH4) and nitrous oxide (N2O). approximately 200 million people currently experience water These human activities have significantly altered the stress, with more countries expected to face high risks in the atmosphere, particularly its composition resulting in future. This may, in turn, leads to increased food and water increased acidity in the atmosphere, production of pollutants, insecurity for at risk populations, undermining socio- elevated level of GHGs and threats to the ultraviolet-filtering economic growth [15, 17]. ozone layer in the stratosphere. These gases also produce a Over 80% of Ethiopia’s 80 million people live in rural greenhouse effect by allowing incoming solar radiant energy areas and are heavily dependent on rain-fed agriculture. This to penetrate to the Earth’s surface while reabsorbing infrared makes them extremely vulnerable to changes in weather radiation emanating from it and not letting this radiation to conditions. Over the last four decades, there have been a scape to the outer atmosphere [12]. number of severe famines at least partly triggered by Of all the climatic factors, the seasonal and inter-annual droughts in Ethiopia [1]. Therefore, Ethiopia is likely to be variations in precipitation and temperature are most crucial vulnerable to climate change. The Government of Ethiopia’s for rain-fed agriculture and also for runoff irrigated National Adaptation Plan of Action (NAPA) process of 2007 production. Spatial and temporal variation in precipitation identified arid, semi-arid and dry sub-humid areas of the plays a great role for both rain-fed and irrigated agricultural country as being most vulnerable to drought. The systems [3]. The day-to-day variability of rainfall associated vulnerability assessment based on the existing information with weather is also the major risk factor for agricultural and a rapid assessments carried out under the Ethiopian productivity. Moreover, the variability in rainfall intensity National Meteorological Agency [14] has indicated that the and duration makes agricultural production and productivity most vulnerable sectors to climate variability and change are very difficult in relation to long-term climate variability to agriculture, water and human health. anticipate [3]. African agriculture is already under stress as a This study therefore was conducted to examine the impact result of population increase, industrialization and urbaniza- of climate variability on food security and livelihoods, with tion, competition over resource use, degradation of resources, particular emphasis on the effects of rainfall and temperature and insufficient public spending for rural infrastructure and variation on crop and livestock productivity and socio- services [11]. The impact of climate change is likely to economic impacts, as well as investigation of the coping exacerbate these stresses even further. capacity of the farmers in the Boricha district of southern A number of countries in Sub Saharan Africa already Ethiopia. Figure 1. Administrative location of Boricha woreda. 31 Berhanu Majo: The Impact of Climate Variability on Food Security and Coping Mechanisms of Farmers in Boricha District Southern Ethiopia 2. Materials and Methods in-depth analysis of climate change impacts and coping capacity in the households and communities visited within 2.1. Description of the Study Area the four kebeles of the study area. Both primary and Boricha woreda is found in Sidama maize belt zone which secondary data sources were used. The primary data were covers the lowest areas of Sidaama administrative region, collected by using structured questionnaires and interviews including parts of Hawassa, Dale, Aleta Wondo, Dara, Bensa for households. On the other hand, secondary data such as; and Aroresa woredas. Although described by many officials as agricultural yields data were collected from Boricha woreda lowland or kola, it technically falls into the borderline area agriculture and rural development office (ARDO) and between the kola and woyna dega agro-ecological zones, with meteorological data from National Meteorological Agency altitudes in the range of 1400–1700 m above sea level. Average Hawassa branch for four stations of the district, namely annual rainfall is in the range of 700-1200 mm per year and Darara, Yirba, Balela and Bilate. falls during two rainy seasons, the Belg and Kiremt rains. The Data from Balela station were used as complementary total population of this woreda was 284,576 in 2011 and it is since data were incomplete in all stations and this station has estimated to be 310,533 at present (2018). The landscape only 10 years data of both temperature and rainfall. varies between undulating hills and plains. Most of the Population data of the area were also collected from central household surveyed