Mulches are used to block light and retain soil moisture which may affect the survival of bacterial pathogens on soil. This study examined the effectiveness of different types of mulches to minimize microbial risk from contaminated water used for irrigation of cucumbers. A production bed of 120 ft2 with 18 beds (30 ft long) covered with five different types of mulch (paper, paper with fertilizer incorporated (PF), maize-based mulch, biodegradable plastic covering, and conventional plastic) including three beds with no cover was planted with Dasher 2 Variety cucumber. Soil samples from each bed were collected for the first five weeks to examine natural E. coli and coliforms. Well water contaminated with or without nalidixic acid-resistant mutant of E. coli (8 Log CFU/mL) was used for drip irrigation for 7 days before harvesting. Prior to irrigation with contaminated water, naturally present E. coli and coliform in the soil samples with or without mulch were in the range of 3.45–3.78 Log CFU/g and 4.18–5.31 Log CFU/g, respectively. E. coli levels on cucumbers harvested from mulched beds and irrigated with contaminated irrigation water had significantly higher (P < 0.05) levels of E. coli as compared with samples from similar beds irrigated with noncontaminated water. However, Cucumber, harvested within each irrigation water quality were not significantly different regardless of the type of mulch with E. coli levels from 1.72 to 3.30 Log CFU/cm2 (contaminated water) and 0.28–1.86 Log CFU/cm2 (noncontaminated water). A significant die-off of inoculated E. coli was observed on cucumber within 3 days (>1.17 Log CFU/cm2) and >1.38 Log CFU/cm2 after 4 days. Beds with maize mulch were effective on minimizing E. coli contamination on cucumber from contaminated irrigation water.

Despite evidence of women’s roles and expertise in the management of water, energy, food, and the environment (WEFE), the WEFE literature is almost silent on gender issues. In the context of climate change, achieving more inclusive management of natural resources is vital; yet women continue to be underrepresented as professionals in WEFE sectors, and largely absent in leadership positions. Using Nepal as a case study, this paper explores the enduring barriers to their exclusion, and entry points for greater equity among professionals in these sectors. To do so, we draw on key informant interviews with 34 male and 31 women professionals from government, civil society, non-governmental organizations and consultants, as well as a roundtable discussion with 20 women professionals specifically focused on gender barriers in these sectors in Nepal. Drawing on Gaventa (2006)’s power cube, this paper examines how power dynamics within and between the public and the private spheres create a web of barriers that conflate to sideline women professionals. While women have reached the “closed space” as defined by Gaventa (i.e., are recruited to professional positions in WEFE sectors), different sources of “hidden” and “invisible” power at play in the public and private spheres continue to limit their participation, influence and decision-making. We argue that the continued marginalization of women professionals calls for a focus on understanding the power and intersectionality dynamics that sustain exclusion. This focus is critical for the development of strategies to increase the voice and leadership of women professionals in WEFE decision-making.

Despite evidence of women’s roles and expertise in the management of water, energy, food, and the environment (WEFE), the WEFE literature is almost silent on gender issues. In the context of climate change, achieving more inclusive management of natural resources is vital; yet women continue to be underrepresented as professionals in WEFE sectors, and largely absent in leadership positions. Using Nepal as a case study, this paper explores the enduring barriers to their exclusion, and entry points for greater equity among professionals in these sectors. To do so, we draw on key informant interviews with 34 male and 31 women professionals from government, civil society, non-governmental organizations and consultants, as well as a roundtable discussion with 20 women professionals specifically focused on gender barriers in these sectors in Nepal. Drawing on Gaventa (2006)’s power cube, this paper examines how power dynamics within and between the public and the private spheres create a web of barriers that conflate to sideline women professionals. While women have reached the “closed space” as defined by Gaventa (i.e., are recruited to professional positions in WEFE sectors), different sources of “hidden” and “invisible” power at play in the public and private spheres continue to limit their participation, influence and decision-making. We argue that the continued marginalization of women professionals calls for a focus on understanding the power and intersectionality dynamics that sustain exclusion. This focus is critical for the development of strategies to increase the voice and leadership of women professionals in WEFE decision-making.

Over the years, desalination has become integral to water resources management, primarily in coastal semi-arid to arid regions. While desalinated seawater has mainly been supplied to municipal and high-revenue industries, the agriculture sector faces increasing irrigation demands, making it a potential user. This review assesses the sustainability of using desalinated seawater for irrigation, shedding light on its limitations and potential. Using desalinated water for irrigation presents challenges, including its high energy consumption, potential contribution to climate change, and agronomy-related concerns. However, evidence suggests that these challenges can be addressed effectively through tailor-fitted strategies. That said, conventional binary decision-making paradigms that label practices as good or bad and focus on a singular, isolated aspect are insufficient for evaluating the sustainability of desalination due to the complex and interconnected nature of the issues involved. To overcome this, the climate-water-energy-food (CWEF) nexus concept is proposed as a comprehensive framework for sustainability assessment. Adopting the CWEF nexus approach allows for a better understanding of the potential challenges associated with using desalinated water for irrigation, encompassing social, economic and environmental concerns. To ensure effective management of these challenges, it is crucial to tailor desalination projects to specific regional conditions and employ either prophylactic or corrective strategies. By embracing the CWEF nexus approach, informed decisions can be made regarding the future utilization of desalinated water for irrigation, contributing to broader sustainability goals.

This study applied the Gebre optimization model to optimize the land and water usage in the Omo-Gibe river basin, Ethiopia, where competition among stakeholders and growing demands pose a challenge. This model was applied through a nexus approach to maximize benefits and minimize conflicting trade-offs. The main objective was to maximize the economic benefit from land and water allocation with the framework of the land-water-food-energy-environment nexus under climate change mitigation and river ecosystem services (LWFEEN). This model takes into account multiple dimensions, including economic, environmental, social, and technical factors, going beyond ordinary optimization models. It also incorporates an innovative crop succession allocation concept not often seen in the literature. This crop succession proposal includes sequences of cropping patterns and fallow land use options that closely resemble real-world farming practices. The results demonstrated that the Gebre optimization model effectively resolves the existing constraint conflicts and maximizes economic benefits by reducing costs, penalties, and environmental impacts, promoting sustainable use of natural resources in the Omo-Gibe river basin and avoiding conflicts among stakeholders. Therefore, this study offered decision-makers a strategic perspective on how to apply the Gebre-model within the context of the land-water-food-energy-environment nexus(LWFEEN) approach in river basins such as the Omo-Gibe, with the ultimate goal of achieving sustainable development.

This study applied the Gebre optimization model to optimize the land and water usage in the Omo-Gibe river basin, Ethiopia, where competition among stakeholders and growing demands pose a challenge. This model was applied through a nexus approach to maximize benefits and minimize conflicting trade-offs. The main objective was to maximize the economic benefit from land and water allocation with the framework of the land-water-food-energy-environment nexus under climate change mitigation and river ecosystem services (LWFEEN). This model takes into account multiple dimensions, including economic, environmental, social, and technical factors, going beyond ordinary optimization models. It also incorporates an innovative crop succession allocation concept not often seen in the literature. This crop succession proposal includes sequences of cropping patterns and fallow land use options that closely resemble real-world farming practices. The results demonstrated that the Gebre optimization model effectively resolves the existing constraint conflicts and maximizes economic benefits by reducing costs, penalties, and environmental impacts, promoting sustainable use of natural resources in the Omo-Gibe river basin and avoiding conflicts among stakeholders. Therefore, this study offered decision-makers a strategic perspective on how to apply the Gebre-model within the context of the land-water-food-energy-environment nexus(LWFEEN) approach in river basins such as the Omo-Gibe, with the ultimate goal of achieving sustainable development.

Agriculture is of great importance in all societies, serving as the fundamental basis for producing food and ensuring the survival of human populations. The process of agricultural production and the associated logistical elements face numerous difficulties, which are further intensified by the worldwide water scarcity resulting from climate change. Nevertheless, the existing body of literature has not sufficiently addressed the consequences of water scarcity on agri-food supply chains. To bridge this research gap and contribute to mitigating the global water crisis induced by climate change, this study proposes a hybrid model that combines optimized neural networks based on meta-heuristic algorithms and mathematical optimization for a sustainable agricultural supply chain. The proposed model integrates particle swarm optimization (PSO) for feature selection and a hybrid convolutional neural network (CNN)-gated recurrent unit (GRU) with a genetic algorithm (GA) optimized structure to predict water consumption. Leveraging the model’s results, a multi-objective sustainable agriculture supply chain model is developed to optimize supply chain profitability while simultaneously addressing environmental pollutants, production waste, food waste, water usage, and manufacturing costs and time. To evaluate the effectiveness of the proposed approach, a real case study in Iran is employed, providing both theoretical and practical insights into the design of agriculture supply chain optimization that incorporates sustainability factors and effectively tackles the growing challenge of water scarcity. The findings of this study hold implications for managers and policymakers in countries where the importance of sustainability is growing. By integrating advanced optimization techniques and predictive models, this research offers a novel framework for enhancing the sustainability of agricultural supply chains and addressing the pressing issues of water scarcity induced by climate change.

This paper constructs a green development efficiency index framework of water-energy-food in China, and uses the Super-EBM model to measure it more accurately and scientifically. The existing studies on water-energy-food efficiency lack the analysis of regional differential decomposition and spatial state transition. In this paper, two kinds of models are used for complementary analysis. One is kernel density map, Dagum spatial Gini coefficient decomposition and traditional Markov chain, which does not contain spatial factors. The other is the global Moran index, spatial Markov chain and spatial spillover effect, including spatial factors. The spatio-temporal dynamic evolution of the green development efficiency of water-energy-food (GWEF) in China is compared from the perspective of national, regional and provincial dimensions. The conclusion is more scientific and comprehensive, which is conducive to the green collaborative development among water-energy-food, economy and environment in China. The study found that GWEF had a lot of room for improvement. The overall spatial difference was mainly derived from the regional difference. GWEF had a significant positive spatial autocorrelation. The development of GWEF maintained the convergence characteristics of clubs. The spatial spillover effect of the main influencing factors was studied. HIGHLIGHTS This paper adopts two categories of models.; One is kernel density map, Dagum spatial Gini coefficient decomposition and traditional Markov chain, which does not contain spatial factors.; The other is global Moran index, spatial Markov chain and spatial spillover effect, including spatial factors.; The spatio-temporal dynamic evolution of GWEF in China was compared from national, regional and provincial dimensions.;

The introduction of modern bioenergy alternatives is promoted to address water–energy–food (WEF) security in the rural highlands of Ethiopia. While the role of women in WEF security is an essential component of these challenges, gender dimensions remain invisible in the nexus debate. This study explores the impact of gender-specific roles between female- and male-headed households on the nexus resources in the rural highlands of Ethiopia using an agent-based modeling approach. This includes capturing the gender-specific responses to modern bioenergy interventions to address current energy crises that may reduce or enhance synergies among nexus resources and whether the introduction of modern bioenergy technology would improve the quality of life for both men and women. Using the participatory gendered mental model of the food–energy–land nexus, a base ABM was developed to simulate the predicted effects under scenarios of population growth and labor reallocation. Initial simulation results show that there is low adoption of alternative bioenergy (i.e., biogas digesters), and the majority remain dependent on traditional energy sources (e.g., fuel wood and animal dung), suggesting further land degradation. Female-headed households that adopt biogas increase their burden of collecting water needed for the operation. Reallocation of labor from crop production to fuelwood collection would result in the reduction of crop yields. It is expected that male-headed households have better crop yields than female counterparts due to gender-specific roles. However, by shifting 10% of labor allocated from energy collection to crop production, yields (i.e., teff and wheat) produced by female-headed households would be comparable to their male counterparts, enhancing their food security. However, the reduced workloads for women resulting from the adoption of biogas digesters will not necessarily enhance their quality of life. This study suggests that trade-offs may arise between efficiency (in resource use) and social equity, which deserve to be further analyzed.

Arable land and water resource scarcity for food production to fulfill the growing demand is a global challenge. Expansion of rice cultivation in Thailand without planning increases land and water depletion especially for the low-productivity rice cultivation areas. The Thai government has an agricultural zoning policy on promoting rice cultivation using land suitability classes for efficient use of land and costs; however, there is still some rice grown on land with low suitability. The study evaluated the land suitability class implications on major and second rice cultivation in view of the Land-Water-Food Nexus performance using Chainat, a key province of rice cultivation in Thailand, as the study area. The land and water intensity indicators were calculated using a normalized approach as the Land-Water-Food Nexus Index (LWFNI). The geographic information system (GIS) tool was used to analyze land-use classification, interpolate the rainfall, and overlay the land suitability classification with the Land-Water-Food Nexus of rice. Rice cultivation on highly suitable areas has a higher LWFNI score for resource efficiency and economic value. Scenarios were considered for changing rice cultivation in marginally and unsuitable areas to alternative crops to conserve water and reduce costs. The option for alternative crops to replace the base case with major rice and mungbean scenario was the most water-saving at about 3,601 m3/ha/year and made a profit increase of about 84,106 baht/ha. Additionally, the major rice and peanut scenario achieved the most profit increase of about 302,366 baht/ha and saved water at about 2,081 m3/ha/year.