scholarly journals Climate Change and Cereal Production Evolution Trend in the Sahel: Case Study in Mali from 1951 to 2010

2019 ◽  
Vol 8 (2) ◽  
pp. 68
Author(s):  
M. Kouressy ◽  
B. Sultan ◽  
M. Vaksmann ◽  
J. F. Belières ◽  
L. Claessens ◽  
...  
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Daily Maximum ◽  
Climatic Data ◽  
Positive Trend ◽  
Synoptic Weather ◽  
Cereal Production ◽  
Food Crop Production ◽  
Maximum Temperatures

Mali is a Sahelian country with a large climatic contrast from North to South. The current climatic and production evolutionary study is focused on the six major agro-climatic cereal production zones ranging from Kayes (400 mm) to Sikasso (>1000 mm) of rainfalls. Climatic data are rainfall records, daily maximum and minimum temperatures from 60 years of the six major synoptic weather observation stations. Data were analyzed on comparing average decades of the two normal periods of 30 years (1951-1980) and (1981-2010). Annual agronomic production data for millet, sorghum, maize and rice are derived from Mali's agricultural statistics base from 1984 to 2013. Main climatic results analyses indicate that climate change resulted in a decrease of 100 mm isohyets between the 2 periods of 30 years. The structure of the rainy season was little changed between these two periods since the average start of the season was delayed by 6 days and the average end date of the season became earlier by 4 days. Maximum temperatures increased significantly from + 0.44°C to + 1.53°C and minimum temperatures significantly increased from + 1.05°C to + 1.93°C in varying way depending on the sites. Statistics of major agronomic food crop production in Mali from 1984 to 2013 indicate an average increase of 985 to 4492 thousand tones, or 22% increase per year. There is a positive upward in saw tooth trend in Malian production from 1984 to 2013. This positive trend is the result of a combination of agricultural extension, agronomic research application and the management of small farmer holder in the Sahel. This evolution needs better study for drawing necessary right conclusions.

scholarly journals Predicting Shifts in Land Suitability for Maize Cultivation Worldwide Due to Climate Change: A Modeling Approach

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 295
Author(s):  
Yuan Gao ◽  
Anyu Zhang ◽  
Yaojie Yue ◽  
Jing’ai Wang ◽  
Peng Su
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Large Scale ◽  
Land Suitability ◽  
Large Scale Assessment ◽  
Scale Assessment ◽  
Maize Cultivation ◽  
Large Scale Screening ◽  
Selection Of

Suitable land is an important prerequisite for crop cultivation and, given the prospect of climate change, it is essential to assess such suitability to minimize crop production risks and to ensure food security. Although a variety of methods to assess the suitability are available, a comprehensive, objective, and large-scale screening of environmental variables that influence the results—and therefore their accuracy—of these methods has rarely been explored. An approach to the selection of such variables is proposed and the criteria established for large-scale assessment of land, based on big data, for its suitability to maize (Zea mays L.) cultivation as a case study. The predicted suitability matched the past distribution of maize with an overall accuracy of 79% and a Kappa coefficient of 0.72. The land suitability for maize is likely to decrease markedly at low latitudes and even at mid latitudes. The total area suitable for maize globally and in most major maize-producing countries will decrease, the decrease being particularly steep in those regions optimally suited for maize at present. Compared with earlier research, the method proposed in the present paper is simple yet objective, comprehensive, and reliable for large-scale assessment. The findings of the study highlight the necessity of adopting relevant strategies to cope with the adverse impacts of climate change.

scholarly journals Effect of climate change on food crop production and vulnerability assessment in Oyo State

2015 ◽  
Vol 7 (1) ◽  
pp. 18-24 ◽  
Author(s):  
A Adewuyi S ◽  
Folorunso B ◽  
Okojie L O ◽  
Akerele D
Keyword(s):  
Climate Change ◽  
Vulnerability Assessment ◽  
Crop Production ◽  
Food Crop ◽  
Food Crop Production

Impact of climate change on staple food crop production in Nigeria

2015 ◽  
Vol 132 (2) ◽  
pp. 321-336 ◽  
Author(s):  
Valentina Mereu ◽  
Gianluca Carboni ◽  
Andrea Gallo ◽  
Raffaello Cervigni ◽  
Donatella Spano
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Staple Food ◽  
Food Crop ◽  
Impact Of Climate Change ◽  
Food Crop Production

Projection of future streamflow changes of the Pearl River basin in China using two delta-change methods

2015 ◽  
Vol 47 (1) ◽  
pp. 217-238 ◽  
Author(s):  
Fei Yuan ◽  
Yeou-Koung Tung ◽  
Liliang Ren
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Future Climate Change ◽  
Pearl River ◽  
Daily Maximum ◽  
Climatic Data ◽  
Pearl River Basin ◽  
Delta Change ◽  
The Pearl River ◽  
The Pearl River Basin

Considerable biases in precipitation simulations in climate models have required the adoption of delta-change approaches to construct future precipitation scenarios for hydrological climate change impact studies. However, different delta-change methods yield different future precipitation scenarios that might significantly affect the projected future streamflow. To assess these effects, two delta-change methods were compared: the simple delta-change (SDC) method with a constant scaling factor and the quantile-quantile delta-change (QQDC) method with a quantile mapping-based non-uniform delta factor. The Xinanjiang (XAJ) hydrological model was applied using historical climatic data and two future precipitation scenarios for streamflow simulations in the Pearl River basin, China. The results show that the two delta-change methods have significant influences on future precipitation and streamflow projections, and these impacts become more distinct at finer and extreme event time scales. For instance, the QQDC method projects the 20-year daily maximum precipitation to be 8.1–98.6% higher than the SDC method. Consequently, the XAJ model with the QQDC future precipitation produces the 20-year daily maximum streamflow to be approximately 7.0–65.0% higher than that using the SDC precipitation. It implies that future precipitation transformation methods are a source of uncertainty, affecting future discharge projections. Such uncertainty should be considered in water resources management and flood control strategies for future climate change adaptations.

scholarly journals Case for Climate Smart Agriculture in Addressing the Threat of Climate Change

2021 ◽  
pp. 131-145
Author(s):  
John Saviour Yaw Eleblu ◽  
Eugene Tenkorang Darko ◽  
Eric Yirenkyi Danquah
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Change Scenario ◽  
Climate Change Scenarios ◽  
Food Crop ◽  
Adverse Conditions ◽  
Climate Change And Variability ◽  
Food Crop Production ◽  
Smart Agriculture ◽  
Available Information

AbstractClimate smart agriculture (CSA) embodies a blend of innovations, practices, systems, and investment programmes that are used to mitigate against the adverse effects of climate change and variability on agriculture for sustained food production. Food crop production under various climate change scenarios requires the use of improved technologies that are called climate smart agriculture to ensure increased productivity under adverse conditions of increased global temperatures, frequent and more intense storms, floods and drought stresses. This chapter summarizes available information on climate change and climate smart agriculture technologies. It is important to evaluate each climate change scenario and provide technologies that farmers, research scientists, and policy drivers can use to create the desired climate smart agriculture given the array of tools and resources available.

scholarly journals Climate Change and Rural Female Farmers in Ghana: A Study of the Wenchi Municipality

2021 ◽  
Author(s):  
Lily Yarney ◽  
Emmanuel Kojo Sakyi ◽  
Jonathan Chuks Mba ◽  
Peter K. Achamwie
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Adaptation Strategies ◽  
Crop Failure ◽  
Middle Income ◽  
Middle Income Countries ◽  
Farming Community ◽  
Female Farmers ◽  
Basic Infrastructure

Climate change poses a major threat to development in most low and middle-income countries, especially the sub – Saharan Africa. Wurompo is a small farming community in the Wenchi Municipality of the Brong-Ahafo region of Ghana that depends on rain-fed agriculture activities for livelihood. In recent years, droughts, unpredictable rainfall pattern and crop failure have become common in the area. The study assessed knowledge and awareness, effects of climate change on female farmers, and their adaptation strategies. A case study in design, qualitative methods were used to collect data from 50 purposefully selected participants. Data were analyzed using themes and sub-themes generated from the research questions. Findings showed lack of adequate information and knowledge on climate change and its effects. Climate change has impacted negatively on these farmers stemming from decline in crop production and unavailability of adequate water supply in due season. Challenges to climate change adaptation are poverty, poor basic infrastructure, and modern farming practices. Farmers must be educated on climate change and its effects, with training on the necessary adaptation strategies to build their resilience. Policies that target rural farmers to adapt to climate change, and device modern agricultural techniques and practices are also necessary.

scholarly journals Climatic Change in Australia Since 1880

1953 ◽  
Vol 6 (2) ◽  
pp. 209 ◽  
Author(s):  
EL Deacon
Keyword(s):  
High Pressure ◽  
Climatic Change ◽  
Atmospheric Pressure ◽  
Annual Variation ◽  
Summer Rainfall ◽  
Subtropical High ◽  
Daily Maximum ◽  
Climatic Data ◽  
Maximum Temperatures

Australian climatic data show that, for the period 1911?1950, the summer rainfall over much of the southern part of the continent was considerably greater than in the previous 30 years and, for the same season, mean daily maximum temperatures in the interior were appreciably lower. A difference in character of the annual variation of atmospheric pressure between these periods also suggests a shift of mean position of the subtropical high pressure belt.

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