scholarly journals A Global and Spatially Explicit Assessment of Climate Change Impacts on Crop Production and Consumptive Water Use

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e57750 ◽  
Author(s):  
Junguo Liu ◽  
Christian Folberth ◽  
Hong Yang ◽  
Johan Röckström ◽  
Karim Abbaspour ◽  
...  
2013 ◽  
Vol 5 (2) ◽  
pp. 128-150 ◽  
Author(s):  
Nishadi Eriyagama ◽  
Yann Chemin ◽  
Ranjith Alankara

Coffee is the second most traded commodity in the world after oil. A sustainable coffee industry is crucial to maintaining global agriculture, trade, human and environmental well-being, and livelihoods. With increasing water scarcity and a changing climate, understanding and quantifying the risks associated with water, a primary input in coffee production, is vital. This methodological paper examines the means of quantifying: (a) ‘current’ consumptive water use (CWU) of green coffee (coffee beans at harvest time) globally; (b) coffee ‘hot spots’ and ‘bright spots’ with respect to levels of CWU, yields and water stress; and (c) possible impacts of climate change on the CWU of coffee. The methodology employs satellite-derived monthly evapotranspiration data and climate projections from two global circulation models for three future scenarios. Initial estimates suggest that currently (on average) 18.9 m3/kg of water is consumed in producing one unit of green coffee. The same estimate for irrigated coffee is 8.6 m3/kg, while that for rain fed coffee is 19.6 m3/kg. Climate scenarios show that effective mean annual rainfall in many major coffee areas may decrease by the 2050s. The generic methodology presented here may be applied to other crops, too, if crop data are available.


2020 ◽  
Vol 12 (22) ◽  
pp. 9535
Author(s):  
Muhammad Usman ◽  
Talha Mahmood ◽  
Christopher Conrad ◽  
Habib Ullah Bodla

Water crises are becoming severe in recent times, further fueled by population increase and climate change. They result in complex and unsustainable water management. Spatial estimation of consumptive water use is vital for performance assessment of the irrigation system using Remote Sensing (RS). For this study, its estimation is done using the Soil Energy Balance Algorithm for Land (SEBAL) approach. Performance indicators including equity, adequacy, and reliability were worked out at various spatiotemporal scales. Moreover, optimization and sustainable use of water resources are not possible without knowing the factors mainly influencing consumptive water use of major crops. For that purpose, random forest regression modelling was employed using various sets of factors for site-specific, proximity, and cropping system. The results show that the system is underperforming both for Kharif (i.e., summer) and Rabi (i.e., winter) seasons. Performance indicators highlight poor water distribution in the system, a shortage of water supply, and unreliability. The results are relatively good for Rabi as compared to Kharif, with an overall poor situation for both seasons. Factors importance varies for different crops. Overall, distance from canal, road density, canal density, and farm approachability are the most important factors for explaining consumptive water use. Auditing of consumptive water use shows the potential for resource optimization through on-farm water management by the targeted approach. The results are based on the present situation without considering future changes in canal water supply and consumptive water use under climate change.


2016 ◽  
Vol 47 (5) ◽  
pp. 1025-1037 ◽  
Author(s):  
Usman Khalid Awan ◽  
Umar Waqas Liaqat ◽  
Minha Choi ◽  
Ali Ismaeel

Accurate assessment of spatio-temporal variations of consumptive water use (CWU) in large irrigation schemes is crucial for several hydrological applications. This study is designed to evaluate the impact of climate change on CWU in the Lower Chenab Canal (LCC) irrigation scheme of the Indus basin irrigation system of Pakistan. A distributed hydrological model, the soil and water assessment tool (SWAT), was spatially calibrated (2005–2009) and validated (2010–2012) for monthly CWU. The estimated CWU using the SWAT model showed promising results (the coefficient of determination (R2) = 0.87 ± 0.06, Nash–Sutcliffe model efficiency (NSE) = 0.83 ± 0.06)) when compared with CWU determined by the Surface Energy Balance Algorithm (SEBAL) (R2 = 0.87 ± 0.06, NSE = 0.83 ± 0.06). Future evaluation, performed by considering the representative concentration pathways (RCP) 4.5 and 8.5 climate change scenarios, showed that changes in temperature and rainfall would significantly influence the CWU in the LCC scheme. Compared with the reference period, annual water consumption in the basin would increase overall by 7% and 11% at the end of 2020 with monthly variations of –40% to 60% and –17% to 80% under RCP 4.5 and RCP 8.5 climate change scenarios, respectively. The water managers in the region have to consider this fluctuating consumptive use in water allocation plans due to climate change for better management of available water resources.


2021 ◽  
Vol 42 (17) ◽  
pp. 6628-6669
Author(s):  
Indrani Choudhury ◽  
B.K. Bhattacharya ◽  
R. Eswar ◽  
M. Sekhar

1986 ◽  
Vol 7 (2) ◽  
pp. 128-144 ◽  
Author(s):  
S.O. Ojo ◽  
M. Ijioma ◽  
A.O. Ojo

Water Policy ◽  
2017 ◽  
Vol 19 (5) ◽  
pp. 886-907 ◽  
Author(s):  
Brian D. Richter ◽  
James D. Brown ◽  
Rachel DiBenedetto ◽  
Adrianna Gorsky ◽  
Emily Keenan ◽  
...  

As water scarcity worsens globally, there is growing interest in finding ways to reduce water consumption, and for reallocating water savings to other uses including environmental restoration. Because irrigated agriculture is responsible for more than 90% of all consumptive water use in water-scarce regions, much attention is being focused on opportunities to save water on irrigated farms. At the same time, many recent journal articles have expressed concern that claims of water-saving potential in irrigation systems lack technical credibility, or are at least exaggerated, due to failures to properly account for key elements of water budgets such as return flows. Critics have also asserted that opportunities for reallocating irrigation savings to other uses are limited because any freed-up water is taken up by other farmers. A comprehensive literature and internet survey was undertaken to identify well-documented studies of water-saving strategies in irrigated agriculture, as well as a review of case studies in which water savings have been successfully transferred to other uses. Our findings suggest that there is in fact considerable potential to reduce consumptive water use in irrigation systems when proper consideration is given to water budget accounting, and those savings can be beneficially reallocated to other purposes.


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