scholarly journals Impact of Climate Change on Cereal Yield and Production in the Sahel: Case of Burkina Faso

Author(s):  
Shéïtan Sossou ◽  
Charlemagne Babatounde Igue ◽  
Moussa Diallo

Climate change is one of the biggest challenges of the 21st century. It affects all countries in the world, especially Sahelian countries in Africa. This paper aimed at evaluating the impact of climate change on cereal yield in Burkina Faso. The ordinary least squares (OLS) was applied to time-series data from 1991 to 2016 collected on the World Bank website. The results have shown that temperature adversely affects yield and cereal production, while precipitation has positive effect. An increase in rainfall of 1 millimetre would increase cereal production by 385 tons in the long term and 252 tons in the short term. In the same, an increase in rainfall of 1 millimetre would increase agricultural yield by 9 kg per hectare in the long term. However, in the short term, an increase in temperatures of 1ºC would result in a decrease in cereal production and agricultural yield of 134748 tons and 72 kg per hectare, respectively. However, in the long term, a rise in temperatures of 1ºC would result in a decrease in cereal production and cereal yield of 154 634 tons and 1074 kg per hectare, respectively. Besides, the results indicate that the emission of carbon dioxide (CO2) has no significant effect on yield and cereal production. Implementing effective adaptation strategies, such as access to improved seed, introduce smart agriculture in the system of cereal in Burkina Faso and increasing irrigation infrastructure could reduce the cereal production's vulnerability to climate shocks.

Author(s):  
M.G. Debesai ◽  

The impact of climate change on the livelihood of farming households is a great concern particularly in developing countries. Based on a household survey conducted in 2016, in Eritrea, this paper attempts to investigate the adaptation conditions to climate change impacts on smallholder farming household. Several socioeconomic, biophysical and environmental factors affecting their farming system were listed by the respondents, including drought, soil degradation, pests and diseases, poor farm management, poor soil fertility, poor agricultural tools, and poor seed quality. Farming households employed short term coping mechanisms and long term adaption strategies to overcome the problems resulted from climate variability. The households cope up with short term climate variability at the expense of deteriorating their resources or losing their assets temporarily or permanently while they practice a long term adaptation strategy which is more or less in favour of sustaining the resource and preserving the environment. It is, therefore, recommended that policymakers need to encourage sustainable development and work to reduce the negative impact of climate change on farming households by emphasising on both short tern coping mechanisms and long term adaptation strategies.


2020 ◽  
Vol 8 ◽  
Author(s):  
Paul Frogner-Kockum ◽  
Gunnel Göransson ◽  
Marie Haeger-Eugensson

In order to study the impact of climate change on metal contaminant transport in urban waters and its relevance for water quality, we have analyzed variations in metal- and suspended sediment concentrations (SSC) in three urban rivers and one small creek in the Gothenburg region during various hydrological events such as spring flood, dry period, and wet period. To interpret river loads of metals and SSC we have furthermore followed meteorological trends since 1961 and additionally calculated future trends for the Gothenburg region, located on the west coast of Sweden. During periods of a short-term increase in precipitation we found an increased particle bound metal transport in urban watercourses of the Göta Älv River. In addition, a correlation between studied parameters indicates that surface runoff from brownfields most likely is the main source to the increased transport of pollutants in river systems rather than re-suspension of polluted river sediment.


Author(s):  
Hanna Bolbot ◽  
Vasyl Grebin

A huge number of scientific researches in the world are devoted to the research of global and regional climate change and their impact on water resources. In Ukraine, this issue is receiving insufficient attention. Researches have been done to assess current trends in river runoff, but future estimates of changes in Ukraine’s water flow have been presented in only a few papers. Present studies of this issue are conducted using hydrological modeling. The ensemble approach is widely used to increase the reliability of estimates of possible future changes in water runoff, that is, the use of data from several GCM and RCM models, with subsequent averaging of their results. Unfortunately, this methodological approach was not used in Ukraine. Using the water-balance method, local manifestations of global climate change within individual catchments can be estimated with sufficient quality. To estimate the temporal variability of the components of the water balance, a comparison of the available hydrological and climatic characteristics of the current period with the period of the climatic norm is used, as well as the method of differential integral curves, which reflects characteristic tendencies in the long-term dynamics of individual components of the water balance. Analyzing all available approaches to research on the impact of climate change on water flow, we can conclude that a complex method is the best for this investigation. Given that a large number of methods are used in the world, reliable estimates can be obtained by developing unified and validated methods and techniques. Therefore, the first step in this way should be a comparative analysis of the results obtained by the most commonly used methods. In the field of water, climate change can lead to changes in rainfall, hydrodynamic regime and water balance of rivers, increase of catastrophic floods and excessive drought, shortage of fresh water. Unfortunately, there is insufficient attention paid to the study of this issue in Ukraine. That is why assessing the impact of climate change on water flow and forecasting them is a very necessary task.


2010 ◽  
Vol 14 (5) ◽  
pp. 783-799 ◽  
Author(s):  
P. Döll ◽  
J. Zhang

Abstract. River flow regimes, including long-term average flows, seasonality, low flows, high flows and other types of flow variability, play an important role for freshwater ecosystems. Thus, climate change affects freshwater ecosystems not only by increased temperatures but also by altered river flow regimes. However, with one exception, transferable quantitative relations between flow alterations and ecological responses have not yet been derived. While discharge decreases are generally considered to be detrimental for ecosystems, the effect of future discharge increases is unclear. As a first step towards a global-scale analysis of climate change impacts on freshwater ecosystems, we quantified the impact of climate change on five ecologically relevant river flow indicators, using the global water model WaterGAP 2.1g to simulate monthly time series of river discharge with a spatial resolution of 0.5 degrees. Four climate change scenarios based on two global climate models and two greenhouse gas emissions scenarios were evaluated. We compared the impact of climate change by the 2050s to the impact of water withdrawals and dams on natural flow regimes that had occurred by 2002. Climate change was computed to alter seasonal flow regimes significantly (i.e. by more than 10%) on 90% of the global land area (excluding Greenland and Antarctica), as compared to only one quarter of the land area that had suffered from significant seasonal flow regime alterations due to dams and water withdrawals. Due to climate change, the timing of the maximum mean monthly river discharge will be shifted by at least one month on one third on the global land area, more often towards earlier months (mainly due to earlier snowmelt). Dams and withdrawals had caused comparable shifts on less than 5% of the land area only. Long-term average annual river discharge is predicted to significantly increase on one half of the land area, and to significantly decrease on one quarter. Dams and withdrawals had led to significant decreases on one sixth of the land area, and nowhere to increases. Thus, by the 2050s, climate change may have impacted ecologically relevant river flow characteristics more strongly than dams and water withdrawals have up to now. The only exception refers to the decrease of the statistical low flow Q90, with significant decreases both by past water withdrawals and future climate change on one quarter of the land area. However, dam impacts are likely underestimated by our study. Considering long-term average river discharge, only a few regions, including Spain, Italy, Iraq, Southern India, Western China, the Australian Murray Darling Basin and the High Plains Aquifer in the USA, all of them with extensive irrigation, are expected to be less affected by climate change than by past anthropogenic flow alterations. In some of these regions, climate change will exacerbate the discharge reductions, while in others climate change provides opportunities for reducing past reductions. Emissions scenario B2 leads to only slightly reduced alterations of river flow regimes as compared to scenario A2 even though emissions are much smaller. The differences in alterations resulting from the two applied climate models are larger than those resulting from the two emissions scenarios. Based on general knowledge about ecosystem responses to flow alterations and data related to flow alterations by dams and water withdrawals, we expect that the computed climate change induced river flow alterations will impact freshwater ecosystems more strongly than past anthropogenic alterations.


Author(s):  
Reem Saeed Al- Ghamdi, Maha Alandejani

The study examined the effect of the impact of manufacturing industries on the economic growth in the Kingdom of Saudi Arabia، and to analyze the size of manufacturing growth and its contribution to economic growth. This study is based on the descriptive analytical approach to identify the development of manufacturing industries in Saudi Arabia and the size of its impact on the growth of the Saudi economy and also based on the methodology of standard analysis using time series data، and the application of unit root testing and common integration and multiple linear regression by applying an Ordinary Least Square (OLS)، to examine the relationship between the rate of economic growth، the rate of GDP of manufacturing، the rate of oil exports، the rate of industrial loans، and the rate of exports of manufacturing industries. The results indicate to negative impact of manufacturing industries، oil exports and industrial exports on economic growth in the long term، despite their positive impact in the short term and the existence of a direct correlation between the rate of growth of oil exports and economic growth in the short term، and the inverse relationship of industrial loans and industrial exports on economic growth. The study summarized several recommendations، including that decision-makers need to pay attention to manufacturing industries and oil exports taking into account the long- term risks of global oil markets and import prices، and the adoption of more extensive policies with regard to industrial loans and maximize industrial exports to affect economic growth positively.


Author(s):  
Opeyemi Gbenga ◽  
H. I. Opaluwa ◽  
Awarun Olabode ◽  
Olowogbayi Jonathan Ayodele

Aim: Agriculture entails majorly crop and animal production. Crop and Livestock production provide the major human caloric and nutrition intake. Assessing the impact of climate change on crop and livestock productivity, is therefore critical to maintaining food supply in the world and particularly in Nigeria. Different studies have yielded different results in other parts of the world, it is therefore, very important to examine the linkage between climate change and agricultural productivity in Nigeria. Study Design: The study utilized secondary data. The study utilize climate data from Nigerian Meteorology Station and Carbon emission, Crop and Livestock production data from FOASTAT. Place and Duration of Study: The study was carried in Nigeria and it covers the period between 1970-2016. Methodology: The data were used to estimate the empirical models. Data were analyzed using descriptive statistics, trend analysis, stationarity, Co-integration and Fully-Modified Least Squares regression. Results: The result of the research reveals that there is variation in the trend of the climatic factors examined and also variation in crop and livestock production over the period covered by the study in Nigeria. The finding also shows that rainfall, temperature and Carbon emission are the climatic factors that significantly affect crop and livestock production in Nigeria. Long term adverse impact of climate change on crop and livestock production index indicates threat to food availability to the country. Conclusion: The study concluded that climatic variables have significant effect on agricultural productivity in Nigeria. The study recommended the need to put in place measures that will reduce the negative effects of climate on agricultural production.


2014 ◽  
Vol 20 (6) ◽  
pp. 1770-1781 ◽  
Author(s):  
Alexandre Millon ◽  
Steve J. Petty ◽  
Brian Little ◽  
Olivier Gimenez ◽  
Thomas Cornulier ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Harouna M. Soumare ◽  
Wamdaogo Moussa Guelbeogo ◽  
Marga van de Vegte-Bolmer ◽  
Geert-Jan van Gemert ◽  
Zongo Soumanaba ◽  
...  

Abstract Background Mosquito feeding assays using venous blood are commonly used for evaluating the transmission potential of malaria infected individuals. To improve the accuracy of these assays, care must be taken to prevent premature activation or inactivation of gametocytes before they are fed to mosquitoes. This can be challenging in the field where infected individuals and insectary facilities are sometimes very far apart. In this study, a simple, reliable, field applicable method is presented for storage and transport of gametocyte infected blood using a thermos flask. Methods The optimal storage conditions for maintaining the transmissibility of gametocytes were determined initially using cultured Plasmodium falciparum gametocytes in standard membrane feeding assays (SMFAs). The impact of both the internal thermos water temperature (35.5 to 37.8 °C), and the external environmental temperature (room temperature to 42 °C) during long-term (4 h) storage, and the impact of short-term (15 min) temperature changes (room temp to 40 °C) during membrane feeding assays was assessed. The optimal conditions were then evaluated in direct membrane feeding assays (DMFAs) in Burkina Faso and The Gambia where blood from naturally-infected gametocyte carriers was offered to mosquitoes immediately and after storage in thermos flasks. Results Using cultured gametocytes in SMFAs it was determined that an internal thermos water temperature of 35.5 °C and storage of the thermos flask between RT (~ 21.3 °C) and 32 °C was optimal for maintaining transmissibility of gametocytes for 4 h. Short-term storage of the gametocyte infected blood for 15 min at temperatures up to 40 °C (range: RT, 30 °C, 38 °C and 40 °C) did not negatively affect gametocyte infectivity. Using samples from natural gametocyte carriers (47 from Burkina Faso and 16 from The Gambia), the prevalence of infected mosquitoes and the intensity of oocyst infection was maintained when gametocyte infected blood was stored in a thermos flask in water at 35.5 °C for up to 4 h. Conclusions This study determines the optimal long-term (4 h) storage temperature for gametocyte infected blood and the external environment temperature range within which gametocyte infectivity is unaffected. This will improve the accuracy, reproducibility, and utility of DMFAs in the field, and permit reliable comparative assessments of malaria transmission epidemiology in different settings.


2021 ◽  
Author(s):  
Pushp Kumar ◽  
Naresh Chandra Sahu ◽  
Siddharth Kumar ◽  
Mohd Arshad Ansari

Abstract This study empirically examines the impact of climate change on cereal production in selected lower-middle-income countries with a balanced panel dataset spanning the period 1971-2016. The study uses average annual temperature, average annual rainfall, and CO 2 emissions to measure climate change. Besides this, cultivated land under cereal production, and rural population are also used as the control variables. Second generation unit root tests, i.e., CIPS, and CADF, are used to test the stationarity of the variables. Feasible Generalized Least Square (FGLS) model is used to overcome the issues of cross-sectional dependence, serial correlation, and group-wise heteroscedasticity. The findings show that a rise in the temperature reduces the cereal production in lower-middle-income countries. While other climate variables, i.e., rainfall and CO 2, affect cereal production positively. The sensitivity of long run elasticity has been checked with the help of Driscoll-Kraay standard regression. The adverse effects of temperature on cereal production are likely to pose severe implications for food security. In conclusion, the paper recommends that governments and cereal producers should carry out adaptation activities and programmes to cope with the negative effects of temperature on cereal production.


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