Mitigating Climate Change Impacts for Optimizing Water Productivity

2019 ◽  
pp. 245-279
Author(s):  
Zhongxiao Sun ◽  
Feng Wu ◽  
Aisha Arowolo ◽  
Chunhong Zhao ◽  
Xiangzheng Deng
Keyword(s):  
Climate Change ◽  
Water Productivity ◽  
Climate Change Impacts

Mitigating Climate Change Impacts for Optimizing Water Productivity

2018 ◽  
pp. 1-35
Author(s):  
Zhongxiao Sun ◽  
Feng Wu ◽  
Aisha Arowolo ◽  
Chunhong Zhao ◽  
Xiangzheng Deng
Keyword(s):  
Climate Change ◽  
Water Productivity ◽  
Climate Change Impacts

Impact of climate change and carbon dioxide fertilization effect on irrigation water demand and yield of soybean in Serbia

2015 ◽  
Vol 153 (8) ◽  
pp. 1365-1379 ◽  
Author(s):  
M. JANCIC ◽  
B. LALIC ◽  
D. T. MIHAILOVIC ◽  
G. JACIMOVIC
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Water Productivity ◽  
Climate Change Impacts ◽  
Weather Data ◽  
Soybean Yield ◽  
Change Models ◽  
Irrigation Demand ◽  
Carbon Dioxide Fertilization ◽  
Weather Stations

SUMMARYThe Decision Support System for Agrotechnology Transfer (DSSAT) v. 4·2 crop model was used to estimate climate change impacts on soybean yield in Serbia in simulations for 2030 and 2050 integration periods using three global climate change models (GCMs): the European Centre Hamburg Model (ECHAM), The Hadley Centre Coupled Model (HadCM) and the National Center for Atmospheric Research Parallel Climate Model (NCAR-PCM) under two scenarios from the IPCC Special Report on Emissions Scenarios (IPCC 2001): A1B SRES and A2 SRES. Input data included weather data from a 1971–2000 baseline period from ten weather stations assimilated from the Republic Hydrometeorological Service of Serbia. Output results from the three GCMs under the two scenarios for 2030 and 2050 were statistically downscaled with the ‘Met & Roll’ weather generator for predicted climate conditions. Mechanical and chemical soil properties were collected in the vicinity of weather stations and analysed by the Agency for Environmental Safety in Belgrade. Genetic coefficients, for the soybean maturity group II variety, were slightly modified using the DSSAT-SOYGRO model ones. The results showed a considerable benefit of carbon dioxide fertilization on soybean yield and yield increases at all locations. The greatest estimated yield increases obtained using outputs the HadCM model for 2030 both scenarios; in 2050, however, the A2 scenario resulted in smaller increase in yield at some locations. The highest increase in yield was in the central and eastern parts of Serbia. Analyses of the climate change impacts on irrigation demand showed a great increase in the irrigation demand amount per growing season. The average irrigation demand reached the highest values in the southern and eastern parts of Serbia. Water productivity reached highest values in eastern and central locations, while the minimum is expected in the most southern and northern location. According to all results it can be concluded that soybean will benefit greatly under climate change conditions and that soybean cropping, currently most concentrated in the Vojvodina region in northern Serbia, expanding in the central part and one location in eastern Serbia.

scholarly journals Impact of Climate Change on Land Suitability for the Optimization of the Irrigation System in the Anger River Basin, Ethiopia

Climate ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 97
Author(s):  
Meseret Dawit ◽  
Megarsa Olumana Dinka ◽  
Olkeba Tolessa Leta ◽  
Fiseha Behulu Muluneh
Keyword(s):  
Climate Change ◽  
Irrigation System ◽  
Water Productivity ◽  
Climate Change Impacts ◽  
Future Climate Change ◽  
Command Area ◽  
Surface Irrigation ◽  
Irrigation Suitability ◽  
Suitability Maps ◽  
Suitable Area

Evaluating climate change impacts and the suitability of potential land resources is crucial for sustainable irrigated agricultural systems. This study applied a multi-criteria analysis supported by the Geographic Information System (GIS) application to produce irrigation suitability maps for the Anger River basin’s (Ethiopia) irrigation command area to optimize its irrigation system. Six irrigation suitability factors, such as distance to water sources (rivers), slope, land use/land cover, soil texture, drainage, and depth, including climate change impacts, were used. These factors were spatially analyzed using a comparison matrix and overlying the factors with 30 m resolutions to estimate the potential irrigable area. About 40% of the study area was classified as moderately to highly suitable for surface water irrigation systems. Moreover, we found that a large proportion of the study area is suitable for surface irrigation system, suggesting the relevance of implementing an enhanced irrigation system for improving the surface irrigation water productivity of the basin. However, future climate change is predicted to negatively affect the irrigation suitable area due to water scarcity. Therefore, this study provides useful information on the irrigation suitability and potential of the study area that could be used to facilitate the water resource development and food security plans.

Climate change impacts on crop yields in Ethiopia

2019 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)
Keyword(s):  
Climate Change ◽  
Crop Yields ◽  
Climate Change Impacts
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