The proliferation of food, feed and biofuels demands promises to increase pressure on water competition and stress, particularly for Thailand, which has a large agricultural base. This study assesses the water footprint of ten staple crops grown in different regions across the country and evaluates the impact of crop water use in different regions/watersheds by the water stress index and the indication of water deprivation potential. The ten crops include major rice, second rice, maize, soybean, mungbean, peanut, cassava, sugarcane, pineapple and oil palm. The water stress index of the 25 major watersheds in Thailand has been evaluated. The results show that there are high variations of crop water requirements grown in different regions due to many factors. However, based on the current cropping systems, the Northeastern region has the highest water requirement for both green water (or rain water) and blue water (or irrigation water). Rice (paddy) farming requires the highest amount of irrigation water, i.e., around 10,489 million m3/year followed by the maize, sugarcane, oil palm and cassava. Major rice cultivation induces the highest water deprivation, i.e., 1862 million m3H₂Oeq/year; followed by sugarcane, second rice and cassava. The watersheds that have high risk on water competition due to increase in production of the ten crops considered are the Mun, Chi and Chao Phraya watersheds. The main contribution is from the second rice cultivation. Recommendations have been proposed for sustainable crops production in the future.

Natural resources are consumed in food production, and food loss is consequently accompanied with a loss of resources as well as greenhouse gas (GHG) emissions. This study analyses food loss based on India-specific production data (for the year 2013) and reported food loss rates during production and post-harvest stages of major food crops and animal products in India. Further, the study evaluates the environmental impacts of food loss in terms of utilization of water, land resources and GHG emissions. The total food loss in harvest and post-harvest stages of the food supply chain for the selected food items amounted to 58.3 ± 2.22 million tonnes (Mt) in the year 2013 with the highest losses by mass in sugarcane and rice. The volume of water associated with the food losses was found to be 115 ± 4.15 billion m³, of which 105 ± 3.77 billion m³ was direct water use (blue + green) and 9.54 ± 0.38 billion m³ was indirect water use (grey). Wasted sugarcane and rice were found to be the largest contributors for water loss. Land footprint and carbon footprint associated with food loss were found to be 9.58 ± 0.4 million hectares (Mha) and 64.1 ± 3.8 Mt CO₂eq, respectively, with rice accounting for the largest impact in both. This highlights the immediate need for quantification and taking measures for minimization of losses across the food supply chains in India.

Atrazine, an herbicide used to control grassy and broadleaf weed, has become an essential part of agricultural crop protection tools. It is widely sprayed on corn, sorghum and sugar cane, with the attendant problems of its residues in agri-food and washing water. If ingested into humans, this residual atrazine can cause reproductive harm, developmental toxicity and carcinogenicity. It is therefore important to find clean and economical degradation processes for atrazine. In recent years, many physical, chemical and biological methods have been proposed to remove atrazine from the aquatic environment. This review introduces the research works of atrazine degradation in aqueous solutions by method classification. These methods are then compared by their advantages, disadvantages, and different degradation pathways of atrazine. Moreover, the existing toxicological experimental data for atrazine and its metabolites are summarized. Finally, the review concludes with directions for future research and major challenges to be addressed.

The institutional reform of the State established in Ecuador during the last decade has aimed at regaining control of specific sectors such as the consumptive use of water. Since 2014, regulation, consumption, and use of water, especially in agriculture, have been analyzed through policies and fiscal instruments. This research presents itself in the context of the simulation of scenarios using positive mathematical programming, to analyze the economic impact of pricing policies on agro-food farms. Policies of fixed costs, water blocks, and volumetric prices are evaluated. The results show that the existing fixed costs do not reduce water consumption. In contrast, the scenarios of water blocks and volumetric prices impact on the behavior of farmers. The tendency of water consumption to the application of volumetric prices demonstrates that banana farms have a greater tolerance to the increase of water costs. On the other hand, the response to an increase in cost in the case of cacao, sugar cane, and rice depends on the productivity of farmers. The negative effects can lead to the abandonment of agriculture. Thus, volumetric policies are more efficient in reducing water consumption as well as in recovering the costs of the irrigation system.

The article takes hydro-development schemes in the Upper Blue Nile Basin of Ethiopia as an example to discuss the suitability and shortcomings of nexus approaches for the analysis of complex socio-ecological transformations. Based on critical theoretical debates and extensive field research in Ethiopia, the paper broadens the nexus perspective by integrating the three analytical dimensions of time, space, and power. The empirical material comes from a case study of the Fincha-Amerti-Neshe scheme that was implemented in three consecutive stages over almost half a century, combining dams, hydro-power plants, large-scale sugar cane plantations, and a factory for sugar production. The empirical findings follow the historical stages of the scheme and their physical outcomes, which affected much more than just water, energy, and food. The paper explores socio-ecological transformations along the analytical dimensions of time, scale, and power. First, it views time and temporality as essential aspects of change and calls for a more systematic recognition of the historical context out of which development trajectories and current nexus situations have emerged. Second, it takes a cross-scalar perspective to explain how local land use is influenced by regional and global drivers. And third, it emphasizes the importance of asymmetric power structures to explain the dynamics of hydro-developments and their social consequences. In conclusion, the paper calls for a “nexus-plus” perspective that is more sensitive to the historical and cross-scalar embeddedness of hydro-development, and which enables more inclusive and fair governance of scarce resources.

Since the Bonn 2011 Conference, the Food-Energy-Water (FEW) nexus has become one of the most popular global research topics. Understanding and addressing the complex interactions between the FEW components is essential for sustainable development. This study proposes an environmental impact minimization model, which considers the FEW nexus under four climate change scenarios, to optimize the spatial distribution of three energy crops (rice, corn, and sugarcane). Life cycle assessment (LCA), linear programming, and a climate change simulation model are integrated to analyze appropriate bioenergy production rates while comparing the benefits of bioenergy with the current renewable energy policy in Taiwan. The major findings of LCA in this study indicate that electricity generation using bio-coal produced from rice straw is very beneficial to the environment. Considering the spatial characteristics of Taiwan, simulations from the spatial optimization model suggested that (a) the rice and corn cultivation areas should be increased in southern Taiwan for bio-coal and bioethanol production, in accordance with the “food and feed priority policy”; and (b) the rice cultivation area should be decreased across Taiwan, based on the “water conservation policy”. In addition, compared to solar power, the development of bioenergy can simultaneously enhance food and energy self-sufficiency.

Biofuels in Ecuador were born with the purpose of achieving an effective substitution of imports of petroleum derivatives. The objective of this research is to analyze the impact that biofuel production has on water, food, and energy, and its contribution to reducing the growing dependence on fossil fuels in the transportation sector in Ecuador. The analysis focuses on ethanol produced from sugar cane, which is used to produce Ecopaís gasoline. The methodology is composed of three parts. For the first part, Geographic Information Systems were used; for the second, the FAO Penman-Monteith method; and, finally, in the third, the energy consumption was obtained through secondary information. As a result, taking the year 2019 as a reference, ethanol became the ninth product with the largest amount of land suitable for agriculture, and the seventh with the most irrigated areas in a country that suffers from malnutrition. Countries with a tropical climate and highly dependent on imports of petroleum derivatives are tempted to implement policies to promote biofuels. However, due to the risks that this renewable fuel represents on food security, other options for reducing its energy dependence should be exhausted.

Forty seven percent of the population of Pakistan is food insecure, access to food is uneven and malnutrition is widespread. In addition, food production depends greatly on irrigation, including the use of substantial volumes of water from already stressed aquifers. Our aim in this paper is to examine the implications of continued population growth on the required production of food and the implied water demand.We examine the historical trends of crop production, water use, food availability and population growth in Pakistan, and project them forward to 2050. Food availability has improved over recent decades, mostly as a result of increasing the area and water use of crops and fodder, and partly as a result of importing more pulses and cooking oils. We show that a continuation of current trends leads to nearly a doubling of the (already unsustainable) groundwater use. There is uncertainty in the magnitude of climate change impacts, but climate change may further exacerbate matters. To avoid further increases of groundwater use, some combination would be required of: more dams and other irrigation infrastructure; increasing crop yields (particularly yields per unit volume of water) at a greater rate than in the past; a change in crop mix away from high water use crops like rice and sugarcane, to crops that use less water; and, exporting less and importing more food. The alternatives appear difficult to implement quickly, so it appears likely that in the short to medium term more groundwater will be consumed, with attendant problems of water quality and sustainability. Our analysis provides new perspectives on past trends and future food and water (including groundwater) challenges.

The increasing demands of the population and the need for development obliged the optimal use and adaptive management of the watershed resources. Accordingly, it is necessary to adopt comprehensive measures to reach sustainable development goals. This objective can be achieved by the application of interdisciplinary and professional approaches through establishing dynamic and optimal balance in supply and demand resources. However, such important optimization approaches have been rarely practiced at the watershed scale. The present study has been therefore formulated to apply a linear water-energy-food nexus optimization for the Shazand watershed, Markazi Province, Iran. This approach was applied for planning 14 crops planted in orchard, irrigated farms, and rain-fed farms, between 2006 and 2014, and targeting water-energy-food nexus index (WEFNI) maximization. The connections among the water, energy, and food were then evaluated through determining the amount of consumption, mass productivity, and economic productivity of water and energy. The results of WEFNIs revealed that almond has the highest WEFNI with values of 0.92, 0.76, 0.76, 0.83, 0.86, 0.86, 0.87, 0.87, and 0.88. Whilst, potato with WEFNI of 0.05, 0.05, 0.05, 0.06, 0.09, 0.10 and 0.11, sugar cane with WEFNI of 0.10 and cucumber with WEFNI of 0.13 had the lowest scores and the corresponding lowest performance among the study crops. The outcomes of optimization study explained that the current situation of land use in the Shazand Watershed is unsuitable to minimize water and energy consumption and maximize benefit. The results can be used as an effective tool for designating proper soil and water resource management strategies in the region.

The prospect of climate change has revived both fears of food insecurity and its corollary, market opportunities for agricultural production. In Australia, with its long history of state-sponsored agricultural development, there is renewed interest in the agricultural development of tropical and sub-tropical northern regions. Climate projections suggest that there will be less water available to the main irrigation systems of the eastern central and southern regions of Australia, while net rainfall could be sustained or even increase in the northern areas. Hence, there could be more intensive use of northern agricultural areas, with the relocation of some production of economically important commodities such as vegetables, rice and cotton. The problem is that the expansion of cropping in northern Australia has been constrained by agronomic and economic considerations. The present paper examines the economics, at both farm and regional level, of relocating some cotton production from the east-central irrigation areas to the north where there is an existing irrigation scheme together with some industry and individual interest in such relocation. Integrated modelling and expert knowledge are used to examine this example of prospective climate change adaptation. Farm-level simulations show that without adaptation, overall gross margins will decrease under a combination of climate change and reduction in water availability. A dynamic regional Computable General Equilibrium model is used to explore two scenarios of relocating cotton production from south east Queensland, to sugar-dominated areas in northern Queensland. Overall, an increase in real economic output and real income was realized when some cotton production was relocated to sugar cane fallow land/new land. There were, however, large negative effects on regional economies where cotton production displaced sugar cane. It is concluded that even excluding the agronomic uncertainties, which are not examined here, there is unlikely to be significant market-driven relocation of cotton production.