Journal Articles

In contexts where conventional environmental monitoring has historically been limited, citizen science (CS) for monitoring efforts can be an effective approach for decentralized data generation that also raises scientific literacy and environmental awareness. To that end, the United Nations Environmental Program (UNEP) is considering citizen science (CS) as a mechanism for producing ambient water quality data to track progress on Sustainable Development Goal (SDG) indicator 6.3.2: quot;proportion of bodies of water with good ambient water qualityquot;. However, the alignment of SDG 6.3.2 monitoring requirements with citizen science capacity and results in low- or middle-income countries has not been assessed. Through a systematic literature review of 49 journal publications, complemented by 15 key informant interviews, this article examines the methods and outputs of CS programs in resource-constrained settings. We explore the potential of these programs to contribute to tracking SDG 6.3.2. Using the Citizen Science Impact Assessment Framework (CSIAF), we evaluate broader outcomes of CS programs across 5 domains: society, economy, environment, governance, and science and technology. Despite large variability in scope, CS programs were consistently found to generate useful data for national-level reporting on physicochemical and ecological parameters; however, data quality is a concern for CS measurement of microbiological parameters. The focus in literature to-date is predominantly on scientific data production which falls only within the apos;science and technologyapos; outcome domain. Societal, governance, economic, and environmental outcomes are infrequently evaluated. Of the studies reviewed in this article, 75% identified some form of pollution but only 22% of them reported follow-up actions such as reporting to authorities. While CS has important potential, work is still needed towards the apos;formalizationapos; of CS, particularly if intended for more vulnerable contexts.

Gender and social dimensions of access to and use of water resources are often overlooked in policy and programming despite their importance in shaping water security. This study examines factors affecting water security in urban Pakistan through a gender lens. We surveyed 560 men and women in two towns in Islamabad and Rawalpindi facing water and sanitation challenges. Through a binary logit model and marginal effects analysis, we analyzed the relationship between water security and multiple variables, including gender, education, age, employment status, payment for water, urban wealth quintile, drinking water source, individual water concern level, water satisfaction, and water quality perception. While more than 50 percent of both genders experience water insecurity, the prevalence of water insecurity is notably higher among women. Men in the surveyed population had higher levels of employment, wealth, and education levels compared to women. The regression analysis across both genders reveals that paying for drinking water negatively and significantly impacts water security, while concern about future water issues, satisfaction with drinking water, and water quality significantly and positively impact water security levels. For women specifically, access to improved drinking water sources, higher education levels, and employment significantly improve their water security level, underscoring the importance of promoting women’s education and economic empowerment. For men, age and wealth levels emerged as significant factors impacting their water security, with older men more vulnerable to water insecurity than younger men and women. These findings underscore the complex interplay of individual, social, and structural dynamics shaping water security experiences, emphasizing the need for gender-responsive and intersectional approaches to water interventions in urban Pakistan and beyond. Equitable water policies and programs necessitate the collection of more disaggregated data. This study marks the first application of the Individual Water Insecurity Experiences (IWISE) Scale used in Pakistan’s urban context, with recommendations for its broader implementation to improve decision-making that can lead to sustainable water solutions across diverse gender and social groups.

As the world’s population increases, the growing demand for food intensifies the generation of agricultural waste, leading to several environmental issues. Intensive research indicates black soldier fly (BSF) larvae Hermetia illucens (Linnaeus, 1758) as efficient converters of organic waste into nutrient-rich biomass suitable for animal feed. Using a structured questionnaire and volunteer farmers (N = 595), we investigated the potential for adoption of BSF larvae composting technology for sustainable agricultural waste management in Greater Ahafo-Ano. Almost all surveyed farmers declared they generated a significant amount of biowaste on their farms and were willing to learn how to use the BSF-based technology to transform it into value-added products. The waste generated was mainly disposed of in pits at Ahafo-Ano South-East (56.2%), by composting at AhafoAno South-West (34.9%) and by sale at Ahafo-Ano North (34.4%). Across the three districts, awareness of the BSF was very low – 14.5% in Ahafo-Ano South-East, 14.1% in Ahafo-Ano South-West and 0.5% in Ahafo-Ano North. However, high acceptance of the technology was recorded. It was found that about 8% of farmers surveyed in Ahafo-Ano South-East had already tried BSF farming on a small scale. Indicating this district as a good entry point to introduce the technology into Greater Ahafo-Ano.

5-Hydroxymethylfurfural (5-HMF) holds substantial importance as a foundational chemical that can be potentially transformed into biofuels and various additional high-value products. Fructose is gaining popularity as one of the raw materials for the facile formation of 5-HMF. However, it is not as abundant in nature as glucose, the primary product derived from biomass breakdown and the most abundant monosaccharide globally. Producing fructose through glucose isomerization is an economical approach in this context. This study investigates several types of novel, facile, and reusable hydrogel catalysts for the isomerization of glucose into fructose and dehydration of fructose into 5-HMF in green solvent media. This study marks the first application of both amine and amide functional groups within a single catalyst (PEGDA-DMAPMA) for glucose isomerization. The results of glucose isomerization using Brnsted-base PEGDA-DMAPMA hydrogel catalysts reveal a 45% glucose conversion rate and a 27% fructose yield, with a 61% selectivity at 110 C, within a 2 h reaction time. Brnsted-acid PEGDA-3SMP-H gave a fructose conversion rate of 93%, yielding 65% 5-HMF at 120 C after 6 h. A significant observation was made for PEGDA-3SMP-H, indicating an increase in the catalytic ability with regeneration cycles. The synthesized catalysts PEGDA-DMAPMA and PEGDA-3SMP-H exhibited stability up to 120 C despite an increase in swelling ratio at higher temperatures and times. Furthermore, PEGDA-3SMP-Cu2+ demonstrated a considerable yield of fructose compared to other metal ion-modified Brnsted-acid catalysts. Additionally, an efficient heating method for this process was identified. In conclusion, the prepared hydrogel catalysts are preferred for industrial applications in carbohydrate conversion.

Adoption of improved seed varieties (ISV) is considered one of the key ingredients to sustainably increase crop yields and incomes and reducing hunger. Previous research has extensively demonstrated that there is a positive link between adoption of ISV and several agricultural and health outcomes. However, most prior research focused on a single crop only, particularly maize, yet most smallholder farmers grow multiple crops simultaneously. Additionally, most of the existing studies are largely case studies using cross-sectional data, where controlling for possible unobserved confounding factors is difficult. We attempt to address these caveats by testing the hypothesis that adoption of ISV improves crop productivity and income, dietary diversity, and short-term child nutrition outcomes. To do so, we use a decade (2010–2020) of nationally representative panel data from Malawi. Our panel data regression results show that adoption of ISV is positively correlated with value of crop production, dietary diversity, and weight for age z-scores. Our findings suggest that intensifying development and promoting use of nutrition-sensitive ISV among smallholder farming households could be key to sustainably address food insecurity and child malnutrition.

Advancing food security requires multi-level and inclusive approaches. This article presents a novel framework to (E) evaluate the social inclusiveness of policies and interventions (PIs) towards (V) vulnerable social groups in (A) agricultural value chains. The EVA-framework is applicable to any value chain, geography and vulnerable group. We apply it to the irrigated vegetable value chain of Mali, analyzing the social inclusiveness of weighted PIs towards women and youth. We find that respective PI formulation in Mali is largely not inclusive. Only few PIs set specific targets, quotas or a financial budget for women and youth inclusion. To be inclusive PIs need to consult targeted social groups, include clear targets, budgets, and accountability mechanisms, and be monitored and evaluated.

The water–energy–food–ecosystems (WEFE) provide vital resources that are essential to human existence. Exploring synergies and trade-offs in these systems has been of interest in recent years to increase economic gain while sustaining the environment. The Tana-Beles Sub-basin of Ethiopia is challenged by population density, climate change, and ecosystem degradation that requires a WEFE Nexus thinking. To understand the current WEFE nexus interactions in the basin, a systematic review of 102 scientific research articles published from 1991 to 2021 was undertaken. Additionally, the systematic review is complemented by spatial data analysis to identify synergies and trade-offs among the WEFE nexus indicators. The analysis revealed the dominance of food–water–ecosystem interdependencies in WEFE nexus research for the Tana-Beles Sub-basin. This dominance is driven by extensive food production activities, which lead to substantial water abstraction and hydrological alterations to meet the intensive water demands of crop cultivation. Simultaneously, the energy-ecosystem interactions are critical due to excessive biomass utilization that exceeds the biomass production potential of the area. Furthermore, the available vegetation cover of the area is very limited to supplement the growing fuel wood demands, which is exerting extreme land degradation and threatening the ecosystem in the sub-basin. This study identifies gaps in WEFE understanding, highlights specific challenges and opportunities within the basin, and calls for coordinated stakeholder action for sustainable resource management through a Nexus approach.

Study region: The Shashe catchment, Limpopo River Basin, Botswana, and Zimbabwe. Study focus: The Shashe catchment is the third largest flow contributor to the Limpopo River Basin. Water availability in the Shashe catchment is highly seasonal due to high seasonal rainfall variability. The seasonality and inter-annual variability cause shortfalls (demand exceeds the average water availability) in certain months and years. Storage is needed to bridge the seasonal water availability “gap” and mitigate the deficits in drought years, i.e., inter-annual variability. While the need for water storage through grey infrastructure such as dams has long been known, there is growing recognition of the need for approaches to water storage that capitalize on all storage types. However, the current capacity to plan in ways that utilize all storage types is limited. The analyses conducted for this paper assessed the volume and spatial and temporal variability of different storage options – large and small dams, sand dams, soil moisture, and aquifers – in the Shashe catchment of the Limpopo River Basin. An integrated SWAT-MODFLOW model and remote sensing approach were developed for 2015–2020. New hydrological insights for the region: The total annual water storage in the Shashe catchment is approximately 44,000 Mm3 , dominated by groundwater. The annual storage is about 42,000 Mm3 in aquifers, 1500 Mm3 in soil, 700 Mm3 in large dam reservoirs, 45 Mm3 in small dams/ponds, and 0.13 Mm3 in sand dams. There is high seasonality in water storage availability. Soil moisture storage is at its maximum from January to March and lowest from July to September. Dam storage is at its maximum from March to May, and the water storage is relatively stable throughout the year. Aquifer storage is relatively stable during the dry seasons compared to other storage options. Optimizing water use considering the seasonal variation in different storage types could improve water availability and climate resilience.

Vendors in traditional urban food markets in West Africa offer locally produced vegetables. These may be unsafe, carrying pathogens and posing potential risks to consumers’ health; or safe, being free from pathogens. Safe produce is rarely differentiated from unsafe produce through certification or price differentiation. Consequently, there is no market data on consumers’ actual payments for certified safe vegetables. Therefore, we aimed to find out whether there is a demand for certified safe vegetables and whether such safety certification is profitable for small-scale farmers. Previous studies have used experiments to elicit price premia consumers’ state to be willing to pay. In contrast, we offered pathogen-free cabbage certified as safe on traditional food markets in Tamale, Ghana, and observed what consumers actually paid. We noted consumer’s actual purchases, who – at the same market stalls – chose between ordinary cabbage of unknown safety status and certified safe cabbage, which carried a price premium to be paid in addition to the price of ordinary cabbage. Our results show that 176 consumers purchased certified safe cabbage and 123 bought ordinary cabbage during the test sales. Consumers’ probability to buy certified safe cabbage is explained by the size of the price premium charged, households’ characteristics and perceptions of local production modes. Estimating customers’ demand function for certified safe cabbage revealed that a pioneer farmer should charge a monopolistic price premium of GHS 1.48 (+46 % on top of the average price for ordinary cabbage valid during the test sales) to maximise the profits from introducing certified safe cabbage into the market. We find that the most promising certification option is for groups of geographically concentrated farmers to jointly apply for safe vegetable certification.

Simulation models are useful decision-support tools for designing and analyzing subsurface drainage systems in irrigated lands. However, the challenge is determining the soil hydraulic data inputs required by models to achieve reliable and accurate simulation of water table depths (WTDs) and drainage discharges (DDs) at various drain depths and spacing combinations. This is particularly important for data-scarce areas, such as middle- and low-income countries (MLICs), that lack facilities to determine in-situ soil hydraulic properties. We evaluated the performance of WaSim and DRAINMOD models to simulate WTDs and DDs at a field scale in KwaZulu-Natal, South Africa. Saturated hydraulic conductivity (Ksat) and soil water retention ( (h)) values were determined using the in-situ pumping test and a pressure plate apparatus. Pedotransfer functions (PTFs) in the Rosetta computer program also estimated these soil parameters. The DRAINMOD and WaSim models were calibrated using the in-situ measured Ksat and laboratory-measured (h) data, while the validation exercise used the PTFs-estimated Ksat and (h) data as soil hydraulic inputs. The models’ performance in simulating WTDs and DDs was assessed using Nash-Sutcliffe Model Efficiency (NSE), Modified Index of Agreement (d), Coefficient of Determination (R2 ), and Mean Absolute Error (MAE). During validation, DRAINMOD simulated WTDs with NSE, d, R2 , and MAE of 0.86, 0.81, 0.89, and 5.3 cm, respectively, whereas, for DDs, the model registered NSE, d, R2 , and MPE of 0.81, 0.79, 0.83, and 0.17 mm.day-1, respectively. During the validation period, the WaSim model simulated WTDs with NSE, d, R2 , and MAE of 0.76, 0.74, 0.78, and 9.0 cm, respectively. For the same validation period, the WaSim model simulated DDs with NSE, d, R2 , and MAE of 0.74, 0.73, 0.77, and 0.2 mm.day-1, respectively. The results suggest that both models, with either in-situ measured and laboratory-measured soil data or PTFs-estimated soil data, can be used to design and analyze drainage systems in data-scarce environments with a reasonably high confidence level. Designers of subsurface drainage systems in Pongola, South Africa, can use any of the two drainage models as decision support tools. We recommend using DRAINMOD and WaSim models with PTFs-estimated hydraulic soil data based on soil textural information, soil particle size data, bulk density, and (h) data at field capacity and permanent wilting point.

In this paper we study the case of contract farming for exports with farmers in remote hilly areas of Nepal. The prospect for contract farming in such areas with accessibility issues owing to underdeveloped markets and lack of amenities is ambiguous. On the one hand, contractors find it difficult to build links in these cases particularly when final consumers have quality and safety requirements. On the other hand however, remoteness makes the contracts more sustainable. The latter happens if there are product specific quality advantages because of agro-ecology and more importantly due to lack of side selling opportunities. At the same time concerns remain about monopsonistic powers of the buyers when remotely located small farmers do not have outside options. This study hence quantifies the benefits of contract farming on remotely located farmers’ income and compliance with food safety measures. Results show that contract farming is significantly more profitable (58% greater net income) than independent production, the main pathway being higher price realization along with training on practices and provision of quality seeds.

At a rhetorical level, the SDGs provide a unified global agenda, and their targets and indicators are believed to drive action for social and environmental transformation. However, what if the SDGs (and their specific goals and indicators) are more of a problem than a solution? What if they create the illusion of action through a depoliticised and technical approach that fails to address fundamental dilemmas of politics and power? What if this illusion continues to reproduce poverty, inequality, and environmental degradation? This paper addresses these questions through a focus on SDG 6.5.1 – the implementation of integrated water resources management (IWRM), measured on a 0-100 scale through a composite indicator. The paper presents an empirical analysis of SDG 6.5.1 reporting in Colombia, Ethiopia, India, Malaysia, and the UK, drawing on research from the Water Security and Sustainable Development Hub.1 An evidence review and series of expert interviews are used to interrogate the local politics of IWRM measurement, specifically three dilemmas of global composite indicator construction: (1) reductive quantification of normative and contested processes; (2) weak analysis of actually existing institutional capability, politics, and power; and (3) distracting performativity dynamics in reporting. The paper concludes that SDG 6.5.1 is an example of a apos;fantasy artefactapos;, and that in all countries in this study, IWRM institutions are failing to address fundamental and apos;wickedapos; problems in water resources management. We find little evidence that these numbers, or the survey that gives rise to them, drive meaningful reflection on the aims or outcomes of IWRM. Instead, they tend to hide the actually-existing political and institutional dynamics that sit behind the complexity of the global water crisis.

Climate change significantly challenges the sustainability of forest ecosystems, with broad socio-ecological impacts insufficiently assessed. This study examines one such critical system, the Globally Important Agricultural Heritage Systems (GIAHS), focusing on preserving the Argan tree in the Ait Souab-Ait Mansour region of southern Morocco. The region, including the Massa and Tamanart river basins, is crucial for Argan tree conservation, yet there is limited information on how climate change will affect the tree. This study aims to analyze climate variability trends and potential impacts on Argan tree distribution using observed (1983–2022) and projected rainfall and temperature data up to 2080. The MaxEnt model projected Argan tree distribution for 2041–2060 and 2061–2080 under four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). Findings reveal significant climatic disparities, with warming of 0.4 C between 1983 and 2022 and future temperatures reaching up to 4 C between 2041 and 2080. Rainfall shows considerable variability, with a decrease of approximately 2.5 mm per decade during the rainy season. Projections indicate a decline in annual precipitation, impacting seasonality and increasing the frequency of extreme events during the argan fruit production season. Suitable areas for Argan trees are expected to decline, particularly in the Tamanart and Massa River basins. The study highlights a 47–65% reduction in highly adapted zones in the med term (2041–2060), and 49–81% in the long term (2061–2080), emphasizing the need for proactive adaptation measures in effort to conserve and increase Argan tree’s survival and productivity.

Climate change leading to Climate extremes in the twenty-first century is more evident in megacities across the world, especially in West Africa. The Greater Accra region is one of the most populated regions in West Africa. As a result, the region has become more susceptible to climate extremes such as floods, heatwaves, and droughts. The study employed the Coupled Model Intercomparison Project 6 models in simulating climate extreme indices under the Shared Socioeconomic Pathway scenarios (SSPs) over West Africa between 1979 and 2059 as exemplified by the Greater Accra region. The study observed a generally weak drought in the historical period and expected to intensify especially under SSP585 in Greater Accra. For instance, continuous dry days (CDD) reveal an increasing trend under the SSPs. Similarly, the overall projected trend of CDD over West Africa reveals an increase signifying a more frequent and longer drought in the future. The flood indices revealed a surge in the intensity and duration of extreme precipitation events under the SSPs in the region. For instance, R99pTOT and Rx5days are expected to significantly increase under the SSPs with intensification under the SSP245, SSP370, and SSP585. A similar trend has been projected across West Africa, especially along the Guinean coast. The study foresees a gradual and intensifying rise in heatwave indices over the Greater Accra region. The warming and cooling indices reveal an increasing and decreasing trend respectively in the historical period as well as under the SSPs particularly within urban centers like Accra and Tema. Most West African countries are projected to observe more frequent warm days and nights with cold nights and days becoming less frequent. Expected effects of future climate extreme indices pose potential threats to the water, food, and energy systems as well as trigger recurrent floods and droughts over Greater Accra. The findings of the study are expected to inform climate policies and the nationally determined contribution of the Paris Agreement as well as address the sustainable development goal 11 (Sustainable cities) and 13 (Climate action) in West Africa.

The reliance on rainfed agriculture exposes southern Africa to low agricultural productivity and food and nutritional insecurity; yet, the region is endowed with vast irrigation potential. Extreme weather events including drought, floods, and heatwaves exacerbate the existing challenges, underscoring the need to improve agricultural water management as a climate change adaptation strategy. This mixed-methods review followed the Search, Appraisal, Synthesis, and Analysis (SALSA) framework to explore the irrigation opportunities and challenges in southern Africa by critically analysing the drivers and constraints of irrigation systems in southern Africa. The premise is to understand the reasons behind the abandonment of some of the areas equipped for irrigation. In cases where irrigation systems are present, the study assesses whether such technologies are effectively being used to generate the expected agricultural productivity gains, and what factors, in cases where that is not the case, constrain farmers from fully using the existing infrastructure. The review further discusses the enabling environment supporting irrigated agriculture and the role of gender in irrigation development. An assessment of the role of women in agriculture on the share of land equipped for irrigation to total cultivated land area, as well as on the proportion of the area equipped for irrigation versus the area that is actually irrigated is conducted. The review found a divergence between countries’ land areas equipped for irrigation and actually irrigated areas. Specific to irrigation expansion, the review rebuts the notion that increasing the irrigated area increases crop production and ensures food security. This may not always be true as irrigation development needs to consider the impacts on other closely linked water and energy sectors through transformative approaches like the water–energy–food (WEF) nexus and scenario planning. If well-planned and implemented, sustainable irrigated agriculture could be catalytic to transforming southern Africa’s food system to be inclusive, equitable, socially just, and resilient, benefiting people and the planet.

Years after the initial settlement, food aid remains an essential component of humanitarian assistance for protracted refugees in managed camps. From data collected among refugee households in three camps in southern Chad and an exogenous variation of time between the latest food distribution and households’ interviews, we draw the time path of household’s consumption. Consistent with the literature on intertemporal choices in high-income countries, refugee households experience an average decline of 1.1 to 1.5 percent per day in their daily caloric intake between distributions. The short-term nutritional status of children under five also responds to the distance from food aid distribution and confirms the existence of food distribution cycles. Our results suggest that households don’t smooth consumption during the interval of time between two distributions, and face regular and frequent cycles of food shortage resulting in detrimental consequences on children’s health.

The sediment transport, involving the movement of the bedload and suspended sediment in the basins, is a critical environmental concern that worsens water scarcity and leads to degradation of land and its ecosystems. Machine learning (ML) algorithms have emerged as powerful tools for predicting sediment yield. However, their use by decision-makers can be attributed to concerns regarding their consistency with the involved physical processes. In light of this issue, this study aims to develop a physics-informed ML approach for predicting sediment yield. To achieve this objective, Gaussian, Center, Regular, and Direct Copulas were employed to generate virtual combinations of physical of the sub-basins and hydrological datasets. These datasets were then utilized to train deep neural network (DNN), conventional neural network (CNN), Extra Tree, and XGBoost (XGB) models. The performance of these models was compared with the modified universal soil loss equation (MUSLE), which serves as a process-based model. The results demonstrated that the ML models outperformed the MUSLE model, exhibiting improvements in Nash–Sutcliffe efficiency (NSE) of approximately 10%, 18%, 32%, and 41% for the DNN, CNN, Extra Tree, and XGB models, respectively. Furthermore, through Sobol sensitivity and Shapley additive explanation–based interpretability analyses, it was revealed that the Extra Tree model displayed greater consistency with the physical processes underlying sediment transport as modeled by MUSLE. The proposed framework provides new insights into enhancing the accuracy and applicability of ML models in forecasting sediment yield while maintaining consistency with natural processes. Consequently, it can prove valuable in simulating process-related strategies aimed at mitigating sediment transport at watershed scales, such as the implementation of best management practices.

In recent years, use of solar-powered irrigation pumps (SIPs) has increased significantly in the agricultural plains (terai) of Nepal. Federal and local governments there have subsidized the pumps in an effort to expand irrigated agriculture using renewable energy. We use data from a cross-sectional survey of 656 farming households in the terai to examine how SIPs affect fossil fuel use and groundwater extraction. We find that most SIP users continued to use their fossil-fuel pumps, as very few completely replaced them with solar pumps. Farmers who received SIPs operated their irrigation pumps more hours than those who did not receive SIPs. Taken together, these findings suggest that groundwater use has increased, as SIP recipients ‘stack’ their pumps. We also find that solar pumps were more likely to be owned by richer households and those with better social networks than those who were poorer and had relative social disadvantage. As Nepal expands the use of solar pumps in agriculture, policy efforts may benefit from managing expectations about the carbon-mitigation potential of this technology, managing groundwater risks as SIP use expands, and making SIPs more inclusive.

Purpose and Methods: Crop identification using remotely sensed imagery provides useful information to make management decisions about land use and crop health. This research used phonecams to acquire the Normalized Difference Vegetation Index (NDVI) of various crops for three crop seasons. NDVI time series from Sentinel (L121-L192) images was also acquired using Google Earth Engine (GEE) for the same period. The resolution of satellite data is low therefore gap filling and smoothening filters were applied to the time series data. The comparison of data from satellite images and phenocam provides useful insight into crop phenology. The results show that NDVI is generally underestimated when compared to phenocam data. The Savitzky-Golay (SG) and some other gap filling and smoothening methods are applied to NDVI time series based on satellite images. The smoothened NDVI curves are statistically compared with daily NDVI series based on phenocam images as a reference.; Results: The SG method has performed better than other methods like moving average. Furthermore, polynomial order has been found to be the most sensitive parameter in applying SG filter in GEE. Sentinel (L121-L192) image was used to identify wheat during the year 2022–2023 in Sargodha district where experimental fields were located. The Random Forest Machine Leaning algorithm was used in GEE as a classifier.; Conclusion: The classification accuracy has been found 97% using this algorithm which suggests its usefulness in applying to other areas with similar agro-climatic characteristics.

In low- and middle-income countries, inadequate sanitation results in faecal contamination of the water used by urban farmers for irrigation. Consumers of raw contaminated vegetables run the risk of developing diarrhoeal diseases and helminth infections, which are a leading cause of under-five mortality and impact the well-being and productivity of millions of adults. This review identifies the evidence base for assessing which factors determine the success and/or failure of interventions that aim to manage the risk of faecal contamination in the urban irrigated vegetable value chain. We carried out a systematic search of the literature from the perspective of the COM-B behaviour framework (Capability þ Opportunity þ Motivation ¼ Behaviour). Our results reveal that most interventions address stakeholders’ opportunity or capability to adopt safe practices without adequately considering their motivation. Interventions often focus on one sector rather than on the whole value chain (sanitation, agriculture, trade, consumption). To effectively change hygiene and food safety practices in the urban irrigated vegetable value chain, stakeholders’ intrinsic motivations need to be identified. Where WHO’s multi-barrier approach is the best option, we recommend building on local multistakeholder platforms and adopting a behaviour change framework to support the largely technical change from farm to fork.

Unsafe water reuse in the informal irrigation sector dominates in the Global South and requires more attention to protect food safety and public health. Promoting formal wastewater use in conjunction with (usually constrained) investment in treatment capacities is not sufficient in LMIC. New approaches and indicators are needed across the formal and informal reuse sectors to increase food safety and monitor progress on safe reuse. Current reuse guidelines need to be updated with greater attention to policy, regulations, investments, and behavior change for a higher implementation potential.

The Intergovernmental Panel on Climate Change (IPCC) has been producing influential reports for over 35 years. As the IPCC’s Seventh Assessment Report (AR7) cycle begins, we offer our perspective as former members of the IPCC Technical Support Units from Working Groups I, II amp; III, and the Synthesis Report on lessons learned during the Sixth Assessment Report (AR6) cycle. We identify three broad issues that, if addressed, could reinforce and sustain the IPCC in continuing its mission to comprehensively assess the scientific understanding of human-induced climate change. These are the imperative to ensure balanced representation, the importance of author recognition, and the need for improved institutional memory. Our recommendations include addressing skill and training needs, tackling barriers to participation particularly for Global South authors, and ensuring all contributors receive appropriate recognition for their efforts. We focus, in particular, on feasible incremental changes that could be implemented during AR7 without major changes to the underlying procedures that require approval by the 195 member governments that make up the IPCC.

Precise estimation of irrigated areas is essential for effective water management, increased production, environmental conservation, and conflict resolution. Nonetheless, discrepancies frequently exist between estimated and actual irrigated areas. To address the data gaps in actual irrigation areas within Ethiopia, we utilized high-resolution remote sensing imagery. However, the accuracy of these images under varying climatic and landscape conditions was not fully substantiated. We conducted a comparative analysis between global irrigation map and local irrigated region maps within two distinct watersheds. Field data was gathered to both train and assess by employing random forest supervised classification algorithm. This algorithm was then applied to create accurate irrigation maps using high-resolution Sentinel-1 data for the Bilate and Gumara watersheds. During the irrigation seasons, maps of irrigated regions were produced using time-series imagery. Additionally, we employed maps indicating lands suitable for surface irrigation and applied post-processing techniques to refine the actual irrigated areas. The resulting accuracy was comparably high for both watersheds, with values of 88% and 87%. The kappa coefficients were 0.74 and 0.73, respectively, indicating a very good level of agreement. However, there were significant discrepancies between the global irrigation map and the local irrigated regions map in terms of spatial distribution and the extent of irrigation. This discrepancy necessitates further analysis of both products to decipher the underlying causes of their differences. We recommend for additional studies encompassing diverse watershed characteristics to improve irrigation area mapping via remote sensing. Our findings also validate the effectiveness of post-processing techniques in remote sensing applications.

This study provides a critical assessment of future climate scenarios in the White Volta Basin (WVB), an area heavily reliant on groundwater resources. With monthly model results for two Shared Socioeconomic Pathway Scenarios (SSP2-4.5 and 5–8.5), seven (7) Coupled Model Intercomparison Project Phase 6 (CMIP6) models with spatial resolution ranging from 1.125 × 2.8 were assessed. The study also considered, three 30-year time intervals, 1971–2013 for the Baseline (historical) climate, the 2020s (2020–2040) 2050s (2041–2070), and the 2080s (2071–2075) for the future climate scenarios. The Climate Change for Watershed Modeling (CMhyd) software was used for bias correction of these models, with observational data sourced from the National Centers for Environmental Prediction’s Climate Forecast System Reanalysis (NCEP CFSR) and 12 gridded climate stations. The bias-corrected models validated using R2 , NSE, RMSE, PBIAS, and additional metrics, demonstrated good calibration results compared to observed data. Precipitation ensembles showed 97–99% R2, 94–99% NSE, 70–485 mm RMSE, and -9-5% PBIAS. Maximum and minimum bias corrected temperatures performance varied from 95 to 99% R2, 92–99% NSE, 0.01–0.07 RMSE, and 0.01–0.23 PBIAS, Overall, precipitation levels are expected to decline for SSP2-4.5, while under SSP5-8.5 are expected to increase until the 2080s across all scenarios in comparison to the baseline period. Maximum temperature will be considerably high under SSP5-8.5, with an estimated increase of around 4.3 C/year in comparison to the reference period. The monthly average variation in the maximum temperature ranges from 0.62 to 2.43 0 Cunder the SSP5-8.5 scenario. These findings reveal the potential impacts of climate change on agricultural productivity, groundwater recharge, and crucial information for the development of Ghana’s National Determined Contributions (NDCs) and National Adaptation Plans (NAPs). Thus, emphasizing the need for comprehensive adaptation strategies to mitigate the climate change impact on water resources and ecosystem services.

Flooding, exacerbated by the challenges of climate change, poses a growing threat to communities in the Upper West Region (UWR) of Ghana. This persistent issue, particularly during the rainy seasons has subjected the region to several losses of properties and lives over the years. This has spurred the need for a comprehensive delineation of flood risk terrains (FRTs) and analysis of the rainfall patterns in the region. This study, therefore, started by analysing a digital elevation model (SRTM—DEM) using Jenks Natural Breaks Classification (JNBC) algorithm to delineate potential FRTs map within the region. Further, analysis was performed using Analytical Hierarchy Process Multi-Criteria Decision (AHP-MCD) with the incorporation of six spatial factors (Lineament Density, Elevation, Topographic Wetness Index, Drainage Density, Slope, and Aspect) to generate a comprehensive FRTs map. Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) from 1992 to 2022 were also visualized in a Jupyter Notebook to assess rainfall patterns in the UWR. Historical flood events data were also analysed to understand the trends of flood events impacts. From the findings, both the JNBC and AHP-MCD algorithms categorized the UWR’s total area into five classes, namely; very high, high, moderate, low, and very low FRTs. The JNBC map had area coverages of 4% (856.278 km2), 7% (1466.685 km2), 12% (2418.642 km2), 35% (7014.96 km2), and 42% (8351.496 km2) from very high risk to very low FRTs, respectively. Notably, the very high risk terrains and high risk terrains were predominantly located along the southeastern and eastern regions, particularly along the Kulpawn River and Sisili River in the UWR. The five classes AHP-MCD map also recorded areas as 0.004% (0.707 km2), 21% (3830.02 km2), 69% (12807.31 km2), 10% (1827.011 km2), and 0.062% (11.535 km2) very high risk to very low FRTs, respectively. These findings further revealed a prevalence of high FRTs along stream and river networks. Interestingly, the validation of the AHP-MCD map over the ground truthing points indicated that the UWR is dominated by moderate FRTs (71.76%), underscoring the regionapos;s vulnerability to flooding. The visualization of the spatial rainfall distribution from 1992 to 2022, also highlighted the significance of heavy rainfall years, particularly in 2018, 2019, and 2021, and the month of August as consistent predictors of flood occurrences. A correlation matrix reinforces the strong connection between rainfall and flood-related impacts, such as affected populations, economic costs, and agricultural losses from 2016 to 2021. In light of these findings, UWR residents must prioritize flood-resilient crop cultivation and adhere to flood disaster safety protocols, especially during the critical month of August. These insights hold valuable implications for municipal, district, and community planning policies, offering a foundation for proactive sustainable flood risk mitigation and co

Climate change effects are expected to be profoundly local and region-specific, underlining the urgent need for local-level assessments. This study emphasizes the agriculturally important Zanzan region of northeastern Cte dapos;Ivoire and examines future changes in precipitation, temperature, and resultant drought conditions based on six global climate models (GCMs) from the Coupled Model Intercomparison Project 6 (CMIP6) under shared socioeconomic pathways (SSPs) scenarios - SSP2-4.5 and SSP5-8.5. We integrate data from 12 stations within the Zanzan region, applying CMhyd software to correct model biases. Key statistical metrics confirm the well-calibrated nature of the corrected GCMs vis-a-vis observed data. Projections show a decrease in annual precipitation by an average of 133 mm and 177 mm under SSP2-4.5 and SSP5-8.5 scenarios respectively by 2100. Future precipitation patterns suggest a shift towards the prevalent dry season. Tmax and Tmin are projected to increase by þ3 C and þ4.8 C (SSP2-4.5 and SSP5-8.5) and þ3.3 C (both scenarios) respectively, by the end of the century. These changes suggest an intensification of severe droughts, particularly in the 2050s and 2080s, as assessed by the SPEI. Additionally, extreme temperatures (TX90p) and consecutive dry days (CDD) are projected to intensify, posing imminent threats to food security, water resources, and public health in the Zanzan region. This study bridges a critical gap by offering localized insights into future climate scenarios, thereby enhancing our understanding of the region-specific impacts of climate change. The research also underscores the urgency of adaptation and mitigation strategies tailored to the Zanzan region’s vulnerabilities.

Science funding could contribute more towards achieving the United Nations Sustainable Development Goals. Science– practitioner partnerships illustrate how a patient and outcome-based approach could improve water security for millions of vulnerable people.

The Bale Ecoregion (BER) is known for its global importance in biodiversity and as a water tower for East African drylands. Land use and land covers (LULC) have been changing for decades, affecting forest ecosystem service values (ESVs), but available information is limited. The present study addresses these gaps by using contrasting watersheds representing the highland, midland, and lowland agroecologies in the BER. LULC classifications were performed using GIS and remote sensing tools. Multisite imagery data (using Landsat image resolution 30 m × 30 m) were generated for four observation periods: 1992, 2002, 2012, and 2022. A recently updated global ESV coefficient and the value transfer valuation method were applied to estimate the changes in ESVs related to LULC changes. The result demonstrates that between 1992 and 2022, forest land has decreased by 3%, 63%, and 22% in the highland, midland, and lowland areas, respectively. Different degrees of loss of ESVs were observed across the study periods and LULC. Of the 21 specific ESVs investigated, the highest annual losses were recorded for water ecosystem services both in the midland and lowland landscape positions. Increased ESVs for cultivated land could not offset losses in food ESVs at the scale of agroecology. Significant impacts of LULC changes on specific ecosystem services, such as water, and changes in natural connectivity between the highland and lowland areas were observed. The result suggests that stakeholders need to co-plan and manage the BER. This evidence provides a scientific underpinning for understanding the connection between LULC change and ESVs and supports informed policy decisions.

CONTEXT: Agricultural innovations and their applications are increasingly recognized as crucial mechanisms for achieving the 2030 Sustainable Development Goals (SDGs). Actors in agricultural research for development (AR4D) frequently use Agricultural Innovation Systems (AIS) frameworks to comprehend the ecosystems within which innovations are developed and scaled. Given the SDGsapos; emphasis on social outcomes, a reflection on social diversity, power, and the integration of social theory into AIS and AR4D tools is crucial for addressing the nuances of social objectives. OBJECTIVE: This research critically evaluates AIS frameworks and AR4D tools through applying social theory to enhance social outcomes. We offer practical application through the development of “Equity Principles for Social Transformation (EPs).” These EPs are designed to guide AR4D organizations in innovation and scaling efforts that effectively achieve meaningful social outcomes. Through this approach, we aim to enrich the conceptual understanding of equity within AIS and provide practical strategies for implementing these insights, thus empowering AR4D actors to be more effective. METHODS: We start by selecting key social theories to analyze global power imbalances and local social exclusion within AIS frameworks and AR4D tools. Using these theories, we examine three case studies to uncover gaps in their approach to social dimensions. We categorize these gaps through thematic analysis and formulate EPs informed by social theories and a practical understanding of AR4D tools. RESULTS AND CONCLUSIONS: Equity analysis of each case study reveals gaps in understanding social implications within upstream and downstream research efforts. These gaps include insufficient addressing of power dynamics and agency recognition, lack of comprehensive guidance on critical social components, oversight of cultural and institutional norms, exacerbation of social inequities, and the case studiesapos; limitations in flexibility for addressing social inclusion effectively. Additionally, there is a notable lack of clear operational guidelines for applying the frameworks in diverse contexts, including the challenge of translating conceptual levels into local action. Seven EPs were developed: recognize AR4D power dynamics; define goals, anti-goals, and for whom; build global “horizontal” partnerships; acknowledge social differences among innovation users and non-users; innovate and curate innovation appropriately; assess impact and reflect; and develop systems capacity. SIGNIFICANCE: The EPs connect innovation systems with positive social change. They help AR4D professionals consider and evaluate the impact of innovation. The EPs provide an additional framework that enables AR4D practitioners to prioritize user needs from the beginning, challenge biases, and more effectively achieve the social objectives outlined in the SDGs.

Building policy coherence is significant in governing natural resources, especially in a changing climate and growing population. Designing and implementing coherent climate-adaptive water productivity policies through holistic and integrated knowledge could manage the growing demand for food and water, and sustain small-scale farmersapos; livelihoods and economies, which is the aim of this research. This study focuses on the analysis of power dynamics and the social network that evolves around the control of information and technical assistance that shape policy narratives. Results showed that donors and financial institutions are the primary powers to control and organize knowledge and technical assistance linked to soil-water conservation especially when it’s combined with mobilizing relevant funds. Many smallholder farmers still adopt traditional patterns of cultivation due to the siloed knowledge gaps in the extension services of governmental entities, the unreachability of extension services, the lack of trust in their guidance, and the absence of innovations’ scalability. Building integrated extension services between ministries, by providing equal and suitable financial packages. This would be feasible by managing the coordination with financial institutions, monetary and nonmonetary incentives, and building on existing farmers’ collective organizations and farmers’ pioneers to enable a sociological transition to water productivity.

High costs associated with technology adoption can be a barrier against the improvement of water use in agriculture. Therefore, interventions must be not only technically feasible but also financially affordable and accessible to farmers. To understand the current situation of research in low-cost (and cost-effective) water solutions for effective management of agricultural water challenges in Egypt. A total of 19 peer-reviewed papers were obtained from systematic research on various databases, the employed keywords are: quot;Egyptquot; AND quot;irrigationquot; AND quot;low costquot; OR quot;low-costquot; OR quot;cost-effectivequot; OR quot;cost-effectivequot;. Based on the analysis of the selected studies, many low-cost technologies and techniques are applied in the Egyptian Delta on-farm levels, such as using low-cost soil moisture sensors attached to a smart monitoring unit operated by Solar Photo Voltaic Cells (SPVC), wireless sensor network in cultivating the potato crop, flexible on-field irrigation, cut-off irrigation, and Pressurized Irrigation Systems. The proposed solutions can help improve water use efficiency, increase crop yields, reduce the cost of irrigation, improve the quality of irrigation water, and promote sustainable agricultural practices. The economic analyses and feasibility studies presented in these papers provide valuable insights for policymakers and stakeholders in making informed decisions about water use and agricultural practices.

In sub-Saharan Africa, productivity risks stem from weather variability, while environmental risks include soil nutrient depletion due to unsustainable farming practices that include monoculture, inadequate or lack of soil and water conservation measures, and low-nutrient application. As a result, shifts from the prevailing fallow system to permanent cultivation lead to soil degradation. The present study aimed to quantify the fluxes of biomass, nutrients, and nutrient balances from different fertilizer sources to de-risk the challenges related to agriculture and the environment in Mali. A farm household survey was conducted over two years (July 2018 to June 2020) with 45 households. The survey enabled us to categorize farm households into three typologies: high resource endowment (HRE), medium resource endowment (MRE), and low resource endowment (LRE). Data on sustainability indicators from cropland, livestock, farm input use, and redistribution units enabled the analysis of biomass and nutrient flow dynamics from households to farmlands and vice versa. The nutrient monitoring (NUTMON) tool generated nutrient flows and balances. Results showed that the total annual biomass collected per hectare by HRE (22.3t) is significantly higher than that collected by MRE (13.4t) and LRE (5.35t) farms (P lt; 0.001). Compared to LRE (10.3 t ha 1 year 1 ), HRE and MRE farmers produced six times (60 t ha 1 year 1 ) and three times (34 t ha 1 year 1 ) more manure, respectively. Farm households with better endowment status observed a higher rate of nutrient utilization. For the major crops, nutrient application rates of HRE farms in kg ha 1 (cotton: 12.6 N, 4.2 P, 18.2 K) and (maize: 9.18 N, 2.34 P, 10.7 K) were significantly higher than that of MRE and LRE farms (P lt; 0.01). The study confirms that household endowment status determines farmlandsapos; nutrient flows and fertility levels. Quantifying biomass transport and understanding nutrient flow dynamics enable the derivation of context-specific solutions to reduce risks associated with productivity and the environment.

The new scientific decade (2023-2032) of the International Association of Hydrological Sciences (IAHS) aims at searching for sustainable solutions to undesired water conditions - may it be too little, too much or too polluted. Many of the current issues originate from global change, while solutions to problems must embrace local understanding and context. The decade will explore the current water crises by searching for actionable knowledge within three themes: global and local interactions, sustainable solutions and innovative cross-cutting methods. We capitalise on previous IAHS Scientific Decades shaping a trilogy; from Hydrological Predictions (PUB) to Change and Interdisciplinarity (Panta Rhei) to Solutions (HELPING). The vision is to solve fundamental water-related environmental and societal problems by engaging with other disciplines and local stakeholders. The decade endorses mutual learning and co-creation to progress towards UN sustainable development goals. Hence, HELPING is a vehicle for putting science in action, driven by scientists working on local hydrology in coordination with local, regional, and global processes.

Background: Renewable alternatives for bio-chemical production have gained significant attention. Glucose, as the most abundant monosaccharide globally, has emerged as a pivotal substrate in this pursuit. Consequently, the processes of glucose isomerization into fructose and glucose dehydration into 5-HMF have garnered substantial interest. 5-HMF (5-hydroxymethylfurfural) serves as a platform chemical, enabling the synthesis of valuable biobased compounds, while fructose stands out as a promising precursor for 5-HMF formation. Method: Employing a comprehensive literature review methodology, this paper examines recent advancements in catalytic systems for the conversion of glucose on two primary processes: glucose isomerization into fructose and glucose dehydration into 5-HMF. Significant Findings: This concise review centers on the use of amines as organic base catalysts for glucose isomerization, leading to high selectivity for fructose. It compares the yield and selectivity of fructose achieved with various homogeneous and heterogeneous amine catalysts. Furthermore, it highlights the growing interest in the MIL-101 series of Metal Organic Frameworks (MOFs) for direct glucose dehydration into 5-HMF, comparing the yield and selectivity of 5-HMF attained. This review serves as a guide for future researchers in biomass valorization, offering insights into recent advancements in catalysts for enhanced chemical production efficiency.

Although energy requires large amounts of water for its production, (inter)national statistics or reports on water demand for electricity for the African continent are scarce. Here we provide the spatially most detailed analysis presently available on freshwater demand for electricity for the recent year 2020, covering the whole of Africa. We conduct a major data mining effort using only freely accessible data. This results in 2534 individual power plants, including 1447 fossil (coal, oil and natural gas), 1071 renewable (wind, sun, biomass, geothermal and hydropower with the distinction between reservoir and run-of-river or ROR hydropower) and 16 other (waste heat and nuclear) power plants. We categorized the power plants according to applied fuel, operation cycle, infrastructure, cooling system and local climate. The total water withdrawal (WW) and consumption (WC) amount to 33 108 and 23 822 million m3 per year (Mm3 per year) respectively, for an annual electricity production of 1 050 674 GWh. Hydropower and natural gas, which have high water withdrawal intensities relative to other energy sources such as wind or sun, account for the largest fractions (70% and 27%, respectively) of total water withdrawal. Our database can be used at any spatial level, as we show results on the national, subnational and river basin level. Countries with high annual WW amounts include Egypt (8937 Mm3 ), Ghana (7893 Mm3 ), Zambia (5262 Mm3 ), Mozambique (2602 Mm3 ), Nigeria (2309 Mm3 ) and South Africa (1068 Mm3 ). River basins with high WW amounts include the Nile (10 377 Mm3 ), the Volta (7765 Mm3 ), the Zambezi (7596 Mm3 ) and the Niger (2562 Mm3 ) river basins. In major river basins, these WW amounts do not exceed 10% of renewable water availability, except for the Volta basin, where the value is 43%. By providing all results in a fully open-access database, we provide valuable statistics for any water management or energy stakeholder working in or on Africa.

Indigenous Peoples and local communities are heavily affected by climatic changes. Investigating local understandings of climate change impacts, and their patterned distribution, is essential to effectively support monitoring and adaptation strategies. In this study, we aimed to understand the consistency in climate change impact reports and factors influencing consistency at site and individual levels. We conducted cross-cultural research among iTaukei (Fiji), Dagomba (Ghana), fisherfolks (Tanzania), Tsimane’ (Bolivia), Bassari (Senegal), ribeirinhos (Brazil), Mapuche (Chile), Mongolian (China), Tibetan (China) and Daasanach (Kenya) communities using semi-structured interviews, focus groups, and surveys among 1860 individuals. We found that cross-culturally more than two-thirds of individual reports of climate change impacts match site-confirmed reports. Consistency in reports is higher for changes related to pastoralism than crop production and wild plant gathering. Individual’s experience with nature, Indigenous and local knowledge, and local family roots are not significantly associated with consistency across sites, but site-specific associations are prevalent. Despite high average consistency among sites, there is considerable variation caused by site-specific factors, including livelihood activities, socio-cultural settings, and environmental conditions. Site contexts and related consistency in climate change impact reports need to be taken into account for climate change monitoring and adaptation planning.

Agricultural field experiments are costly and time-consuming, and often struggling to capture spatial and temporal variability. Mechanistic crop growth models offer a solution to understand intricate crop-soil-weather system, aiding farm-level management decisions throughout the growing season. The objective of this study was to calibrate and the Crop Environment Resource Synthesis CERES-Maize (DSSAT v 4.8) model to simulate crop growth, yield, and nitrogen dynamics in a long-term conservation agriculture (CA) based maize system. The model was also used to investigate the relationship between, temperature, nitrate and ammoniacal concentration in soil, and nitrogen uptake by the crop. Additionally, the study explored the impact of contrasting tillage practices and fertilizer nitrogen management options on maize yields. Using field data from 2019 and 2020, the DSSAT-CERES-Maize model was calibrated for plant growth stages, leaf area index-LAI, biomass, and yield. Data from 2021 were used to evaluate the modelapos;s performance. The treatments consisted of four nitrogen management options, viz., N0 (without nitrogen), N150 (150 kg N/ha through urea), GS (Green seeker-based urea application) and USG (urea super granules @150kg N/ha) in two contrasting tillage systems, i.e., CA-based zero tillage-ZT and conventional tillage-CT. The model accurately simulated maize cultivar’s anthesis and physiological maturity, with observed value falling within 5% of the model’s predictions range. LAI predictions by the model aligned well with measured values (RMSE 0.57 and nRMSE 10.33%), with a 14.6% prediction error at 60 days. The simulated grain yields generally matched with measured values (with prediction error ranging from 0 to 3%), except for plots without nitrogen application, where the model overestimated yields by 9–16%. The study also demonstrated the modelapos;s ability to accurately capture soil nitrate–N levels (RMSE 12.63 kg/ha and nRMSE 12.84%). The study concludes that the DSSAT-CERES-Maize model accurately assessed the impacts of tillage and nitrogen management practices on maize crop’s growth, yield, and soil nitrogen dynamics. By providing reliable simulations during the growing season, this modelling approach can facilitate better planning and more efficient resource management. Future research should focus on expanding the modelapos;s capabilities and improving its predictions further.

To increase rice production in Africa, both intensification and area expansion are needed. Inland valley (IV) agroecosystems are important for rice production due to their relatively high water availability and soil fertility. However, the spatial distribution of suitable IVs remains uncertain. The objective of this study was to model spatial distribution patterns of suitable IV areas for rice production. Biophysical, socioeconomic and management practice data were collected from 242 IVs in two contrasting regions in Benin, namely, the Departments of Mono and Couffo (Mono-Couffo) and the Upper Oum River catchment (Upper Oum). Geographically weighted regression (GWR) and ordinary least squares (OLS) models were used to predict the spatial distribution of suitable IV areas for rice production. The results showed that the GWR model performed better than the OLS model in assessing the IV suitability spatial distribution. There were 177,714 ha (46%) and 431,954 ha (31%) of highly suitable IVs for rice production in Mono-Couffo and Upper Oum, respectively. The most significant variables for predicting suitable IV areas for rice production were irrigation water resources, soil fertility management and total nitrogen in topsoil in Mono-Couffo and the number of male farmers in the IV, shallow water table duration at the IV bottom, and elevation in Upper Oum. These results demonstrated the effectiveness of the GWR model in assessing the distribution of highly suitable IVs.

In the era of Climate Change and Climate Variability (CC and CV), renewable energy sources such as Hydropower (HP) have a significant role to play in mitigation. However, inflow to reservoir which is the key fuel for HP generation is vulnerable to CC and CV. Thus, there is a need to investigate the potential impacts of CC and CV on HP systems in the future. This study attempts to assess the potential impacts of CC and CV on the Faye reservoir inflow using the Random Forest (RF) algorithm. For this purpose, bias-adjusted precipitation and temperature data of thirteen climate model outputs and their ensemble mean from Coupled Model Inter-comparison Project Phase 6 (CMIP6) under three Shared Socioeconomic Pathways scenarios (SSP1-2.6; SSP2-4.5 and SSP5-8.5) were used as predictors. The potential changes in reservoir inflows were evaluated in the near (2025–2049), mid (2050–2074) and far (2075–2099) futures relative to the reference period (1990–2014). The results show the good performance of the RF algorithm in simulating reservoir inflows with Cor gt; 0.6 for all models. The annual inflows to the Faye reservoir are noted to increase in the future compared to the reference period despite the potential decrease in future precipitation probably due to land use/cover change. For the ensemble mean of models, this projected increase is estimated to around 16%, 23% and 10%, respectively under the SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios for all projection periods. The largest annual increase is noted under the SSP2-4.5 scenario while the lowest increase is noted under the SSP5-8.5 scenario for all projection periods. This study could help the small dam managers better consider the implications of CC and CV on inflow management.

This study investigates the impact of climate change and variability on reservoir inflow and hydropower generation at three key hydropower plants in Cte dapos;Ivoire including Buyo, Kossou, and Taboo. To simulate inflow to reservoir and energy generation, the Random Forest (RF), a machine-learning algorithm allowing fewer input variables was applied. In three-step, RF k-fold cross validation (with k = 5) was used; (i) 12 and 6 multiple lags of precipitation and temperature at monthly increments were used as predictors, respectively; (ii) the five most important variables were used in addition to the current monthapos;s precipitation and temperature; and (iii) a residual RF was built. The bias-adjusted ensemble mean of eleven climate models output of the COordinated Regional Downscaling Experiment was used for the representative concentration pathways (RCP4.5 and RCP8.5). The model output was highly correlated with the observations, with Pearson correlations gt;0.90 for inflow and gt;0.85 for energy for the three hydropower plants. The temperature in the selected sub-catchments may increase significantly from 0.9 to 3 C in the near (2040–2069) and from 1.7 to 4.2 C in far (2070–2099) future periods relative to the reference period (1981–2010). A time series of precipitation showed a change in range -7 and 15 % in the near and -8 to 20 % in the far future and more years are with increasing change. Depending on the sub-catchment, the magnitude of temperature and precipitation changes will increase as greenhouse gas emissions (GHG)(greater in RCP8.5 than RCP4.5) rise. At all time scales (monthly, seasonal, and annual), the simulated inflow and energy changes were related to climate variables such as temperature and precipitation. At the annual time scale, the inflow is projected to change between -10 and 37 % and variability may depend on the reservoir. However, the energy change is promised to change between -10 and 25 %, -30 to 15 %, and 5–40 % relative to the historical (1981–2010) period for Taabo, Kossou, and Buyo dams, respectively at an annual scale. The changes may vary according to the year, the RCPs, and the dam. Consequently, decision-makers are recommended to take into consideration an energy mix plan to meet the energy demand in these seasons.

Introduction: The increasing pressure on land and water resources, fueled by high population growth and climate change, has profound implications for crop yield and quality. While studies thrive for various crops, a notable research gap exists in understanding the responses of forage crops to irrigation and nutrient management in developing countries. This study aims to address this gap by assessing the impact of irrigation and fertilizer application on forage production in the Ethiopian sub-humid highlands. Methods: The experiment focused on four forage varieties, namely Napier grass (Cenchrus purpureus) cultivars, ILRI-16791, ILRI-16819, ILRI-16803, and Guinea grass (Megathyrsus maximus) ILRI-144 cultivated in experimental plots. Three irrigation levels designated as IR60 (60% of total available soil water), IR80 (80%), and IR100 (100%) were applied, along with three fertilizer rates: organic manure at 30 t ha-1 , and Urea-N at 100 kg ha-1 and 300 kg ha-1 . Agronomic data including growth performance, forage dry matter yield, and nutritional quality were collected during two trial years. Results and discussion: Among the various irrigation treatments, IR80 demonstrated the most favorable balance between forage yield, WUE, net benefit, and LWP. In addition, the highest DMY, WUE, net benefit, and LWP were obtained for UREA at the rate of 300 kg ha-1 while the lowest DMY and WUE were observed for UREA at the rate of 100 kg ha-1 . Significant variations were observed among the four forage varieties, with Napier grass ILRI-16791 having the highest DMY (9.8 tons ha-1 ), WUE (39 kg ha-1 mm-1 ), LWP (0.28 USD m-3 for local cows, and 1.04 USD m-3 for crossbred cows), and net benefit (783 USD ha-1 ). For all forages combined, a 40 and 20% decrease in irrigation increased water use efficiency by 17 and 9.4%, respectively. These results indicate that a moderate level of deficient irrigation such as IR80 could be a viable water management strategy for irrigated forage, especially in water-scarce areas. The conserved water saved from the deficit irrigation can thus be used to irrigate additional land, contributing to a more sustainable and efficient water usage approach.

Small-scale cultivation of irrigated fodder is emerging as a vital production system in mixed farming communities. Efficient water management plays a key role in enhancing forage production, especially in the face of changing climate. A field-scale experimental study was conducted in Robit Bata kebele, Ethiopia, with the following objectives: (1) to examine the effects of conventional farmers’ irrigation scheduling versus climate-based irrigation scheduling; and (2) to assess the influence of water-lifting technologies (manual pulley and solar Majipump) on dry matter yield (DMY), water productivity (WP), irrigation labor productivity (ILP), and water productivity in terms of crude protein and metabolizable energy (WP.CP and WP.ME) of Napier grass. The experiment used 10 farmers’ plots each with a size of 100 m2 . Half of the plots were treated using farmers’ scheduling while the other half were treated using climate-based irrigation scheduling. Monitoring of irrigation water use and crop yield took place over two irrigation seasons from November 2020 to June 2021. Results showed there was an interaction effect of irrigation management (p = 0.019) and water-lifting technologies (p = 0.016) with season on DMY. The highest DMY occurred in the first irrigation season with climate-based scheduling and solar Majipump use. The interaction effect of irrigation management and season affected WP (p = 0.047). Climate-based scheduling had a higher WP in the first season, while farmers’ scheduling had a higher WP during the second season. On average, the solar Majipump outperformed the pulley, achieving 5 kg m-3 WP compared to the pulley’s 4 kg m-3 (p = 0.018). Emphasizing the seasonal impact, it is recommended to promote full irrigation (climate-based) in the first season for maximum yield and WP. Conversely, in the second season, advocating only deficit irrigation is advised due to water scarcity and sustainability concerns. Statistical parity in DMY and lower WP with full irrigation in the second season supports this recommendation, addressing the challenge of optimizing water use in the context of a changing climate and ensuring sustainable smallholder agriculture practices. Therefore, implementing appropriate irrigation management alongside efficient water-lifting technologies holds the potential to enhance fodder productivity and bolster smallholder farmers’ livelihoods. Future research should explore the comparative benefits of irrigated fodder versus other crops and the overall advantages of investing in irrigated fodder over vegetables.

Goal 7 of the Sustainable Development Goals (SDGs) aims to ensure access to affordable, reliable, sustainable, and modern energy for all by 2030 but securing universal access to energy supplies remains a challenge worldwide. There is increased recognition that gender and social inclusion (GESI) is critical for the transition towards low-carbon energy. Nepal’s inclusive 2015 Constitution, and its 2021 federal-level Gender Equality Policy translate this commitment. Likewise, Nepal is committed to SDG 7. Yet energy policy includes only limited provisions for ensuring energy access by marginalized groups and women. This paper focuses on energy policy coherence to identify cohesion between policies and policy instruments at different levels of governance to identify bottlenecks to GESI. Using a policy coherence and feminist policy approach within an energy justice context, it traces the coherence of GESI policy through time and in relation to overall GESI policy objectives. Horizontal and internal coherence are assessed through the parallels/disjoints between energy-related periodic plans, policies, budgets, and GESI aims. The evolution of GESI in energy investments has been slow in part because of a narrow conceptualization of the policy problem and a lack of coherence and synchronization across documents, which undermines implementation of the GESI agenda.

Climate change is increasing the frequency and severity of droughts in semi-arid regions. Small-scale water storage can help build drought resilience, particularly in rural areas with no access to formal water infrastructure. Sand dams, which store water by capturing water in sand-filled ephemeral rivers during the wet season, are one promising storage option. While emerging studies indicate tentative evidence of their benefits, the focus on resilience is under-addressed. This study evaluates the impact of sand dams on resilience to climate variability and changes through a participatory case study approach in the Shashe catchment, a semi-arid catchment shared by Botswana and Zimbabwe. Participatory research was conducted via site inspections, focus group discussions, and interviews at 20 sand dams utilized by 19 villages across the Zimbabwean portion of the Shashe catchment. The results show that sand dams significantly improved local water availability, most notably with a significant increase in the number of months per year that water could be collected from the dam site (mean = 6.5 months before, to mean = 10.9 months after construction, p lt; 0.05). This increase is also reflected in drought years (mean = 5.8 months before, to mean = 9.6 months after construction, p lt; 0.05). Sand dams also contribute to the adaptive capacity of communities via key benefits such as diversification of livelihood activities, improved health and hygiene, and reduced erosion in the surrounding area due to increased vegetation. In sum, the study demonstrates clear benefits to communities facing drought, supporting calls to elevate sand dams on the development agenda.

The objectives of the study were to investigate community perception and articulation of diverse and priority water values and examine water value trade-offs in the context of urban–rural interaction. The study applies the socio-ecological system framework and integrates bio-physical and socioeconomic methods into it. These methods include Household Surveys (HHs); Focused Group Discussions (FGD); Key Informant Interviews (KII); Cumulative Pollution Index (CPI); GIS for spatial analysis and literature review. Through HHs, 23 water values were identified in Akaki. Most respondents of the HHs prioritized three water values (water for agriculture, livestock, and domestic use). The stakeholder consultation substantiated the priority for domestic water value but also acknowledged waste assimilation services of rivers that absorb and strew pollutants from industries and households. The result of KII suggests that water system structures (e.g., reservoirs) are the mnemonic value for past events and sustain scenic values of local, national, and global importance. The Cumulative Pollution Index (CPI) based pollution assessment indicates that the Akaki water system lost a significant number of its water value (compared to the actual uses) due to river pollution across its reach and more critically at its outlet. The differences between the CPI value-based recommended water uses and actual water uses reflect a lack of options, awareness gaps, and a low level of policy enforcement. It is concluded that policy directions and decision-making need to acknowledge the multiple water values and competing uses of water, as points of departure, to reconcile water value trade-offs, conserve water and create awareness.

Many countries in Sub-Saharan Africa (SSA) have made youth inclusion a top priority in their development agendas. This is aimed at overcoming social, technical, and institutional obstacles and providing fair and significant opportunities for the growth of young people. Inclusive agricultural value chain development (VCD) is being used to address youth unemployment in the region. The Nigerian government and its partners have invested in aquaculture VCD to create employment opportunities for young men and women, but the participation rate is low, at around 2%. Further, research and practices focusing on rural youth inclusion in VCD is scant, with biases towards urban youth inclusion. This study explored youth engagement in the aquaculture value chain and how the chain features and context shape inclusive mechanisms/patterns of youth inclusion in VCD processes. We used the integrated livelihood asset framework, access approach, and VCD approaches to present an analysis of conditions influencing the inclusion of young men and women in the aquaculture VCD in Nigeria. Accordingly, two youth inclusion strategies were identified: investment and risk management strategies. Young men and women from better-off households adopt investment strategy and dominate the production function. They use their resources, social networks and support from youth-focused aquaculture projects to invest in production functions. Those adopting a risk management strategy dominate the processing, distribution, and marketing functions. They dominantly use social networks, support from aquaculture projects, and Information Communication Technologies (ICTs) to mitigate risks. The high demand for fresh and processed fish, supportive policies, and youth-centered aquaculture projects encourages the engagement of young men and women to adopt either of the strategies. However, they face challenges such as high-cost and low-quality inputs, lack of tailored services, inadequate infrastructure, and sociocultural norms. This study contributes to youth inclusion literature, provides a comprehensive theoretical lens for understanding youth inclusion in VCD, and offers insights into the specific case of young men and women’s engagement in the aquaculture sector in Nigeria.

Hillslope aquifers regulate streamflow and are a critical potable and irrigation water source, especially in developing countries. Knowing recharge and baseflow is essential for managing these aquifers. Methods using available data to calculate recharge and baseflow from aquifers are not valid for uplands. This paper adapts the Thornthwaite and Mather (T-M) procedure from plains to sloping and mountainous regions by replacing the linear reservoir with a zero-order aquifer. The revised T-M procedure was tested over four years in two contrasting watersheds in the humid Ethiopian highlands: the 57 km2 Dangishta with a perennial stream and the nine km2 Robit Bata, where the flow ceased four months after the end of the rain phase. The monthly average groundwater tables were predicted with an accuracy ranging from satisfactory to good for both watersheds. Baseflow predictions were “very good” after considering the evaporation from shallow groundwater in the valley bottom during the dry phase in Dangishta. We conclude that the T-M procedure is ideally suited for calculating recharge, baseflow and groundwater storage in upland regions with sparse hydrological data since the procedure uses as input only rainfall and potential evaporation data that are readily available together with an estimate of the aquifer travel time.

There is growing optimism about the potential of digital innovations to support climate action and transform agricultural markets. We review and characterize the landscape of digital innovations in the Central and West Asia and North Africa (CWANA) region. We highlight major success stories associated with the potential of digital innovations to facilitate rural market transformation and support climate action, including adaptation and mitigation. Our desk and landscape review identifies various digital innovations used in Egypt, Morocco, and Uzbekistan. We then create a typology of digital innovations based on seven broad service categorizations: weather and climate; agricultural finance; energy and early warning systems; data and crowdsourcing; market information and market place; extension and advisory information; and supply chain coordination. Three technical and validation workshops supplement this review. Our review shows that digital innovations have the potential to build resilience to climate change and increase market access, but their adoption remains low and varying across contexts. Significant heterogeneity and differences exist across these countries, possibly due to different institutional and regulatory frameworks that guide demand and capacity. We identify several supply and demand-side constraints facing the digital ecosystem in the region. There is the existence of a significant digital divide fueled by gender, literacy gaps, and related socioeconomic and psychosocial constraints. A seeming disconnect also exists between pilots and scale-ups, as most existing digital applications are unsuccessful in expanding beyond the pilot phase.

Global warming is projected to result in changes in streamflow in West Africa with implications for frequent droughts and floods. This study investigates projected shifting in the timing, seasonality and magnitude of mean annual minimum (MAM) and annual maximum flows (AMF) in the Volta River basin (VRB) under climate change, using the method of circular statistics. River flow is simulated with the mesoscale hydrologic model (mHM), forced with bias-corrected climate projection datasets consisting of 43 regional and global climate model combinations under three representative concentration pathways (RCPs). Projected changes indicate that AMF increases between + 1 % and +80 % across sub-basins, particularly in the near future (2021–2050), whereas MAM decreases between -19 % and -7 %, mainly from the late century (2071–2100), depending on RCPs. The date of occurrence of AMF is projected to change between -4 and +3 d, while MAM could shift between -4 and +14 d depending on scenarios over the 21st century. Annual high flows denote a strong seasonality with negligible future changes, whereas the seasonality of low flows has a higher variation, with a slight drop in the future.

Water governance demands multi-sector participation beyond the state; and, appropriate laws, policies, regulations, and institutions need to be developed and put in place for sustainable use of water resources. A good water policy, a critical and integral instrument of water governance, guides water use schemes and ensures equitable water distribution among users. The Ethiopian Central Rift Valley (CRV) is rich in water resources, but these water resources are currently under severe strain owing to an imbalance in human-water interactions. This study examined the state of water resources governance framework, policy coherence, actors’ engagement and transparency, accountability, and participation in irrigation water supply in the CRV of Ethiopia. Key informant interviews (KII), focused group discussions, and document reviews were used to gather data for the study. The NVivo 11 program was used to organize, code, and analyze the data. The results revealed that water resources governance practices such as water allocation and apportionment, water resources protection, and conservation activities were inappropriately exercised. Water resources management policy mechanisms were not fully put in place. Lack of coherence in water policy implementation, absence of clear roles and responsibilities of stakeholders, absence of transparency and accountability in irrigation water service delivery, and lack of meaningful participation of key actors in water governance decision-making were observed. As a result, over-abstraction, deterioration of buffer zone areas, and chemical erosion from surrounding farming are attributed to the reduction in water volume and quality in the CRV. These challenges have influenced aquatic ecosystem services and threaten the livelihoods of the surrounding communities. Hence, reforms relating to policy coherence and enforcement, stakeholder engagement, water distribution strategies, and the implementation of water governance principles must be given adequate emphasis.

This paper analyses groundwater governance within a transfrontier conservation landscape. Given the current heightened interest in groundwater development, it is imperative that more thought be given to how groundwater resources can best be managed in different contexts for multiple uses and users. Transfrontier conservation areas are areas of vast biological diversity whose functioning and ecosystem integrity depends on the availability of water to sustain ecosystems and subsequently derive economic benefit. Further, climate vulnerable rural communities depend on and form an important part of this landscape. The work highlighted in this paper is based on a study conducted in parts of the Kavango-Zambezi Transfrontier Conservation Area (TFCA), the largest TFCA in the world. Climate induced challenges such as droughts and general poor land use planning have resulted in threats to long term sustainability of freshwater ecosystems and increased incidences of human-wildlife conflicts over limited water resources. Effective groundwater governance can potentially provide pathways for alleviating these challenges. ; Building on the theoretical fundamentals of polycentric governance, this paper analyses the case of the KAZA TFCA in which multiple levels of governance exist. The paper discusses how to achieve coordination and accountability within a shared landscape to foster sustainable use and management of groundwater. Groundwater within a TFCA context has the potential to alleviate human-wildlife conflict over freshwater, support groundwater dependant ecosystems and sustain smallholder agriculture for the rural communities. Understanding this role of groundwater adds to the framing of freshwater governance and conservation efforts within a TFCA and the identification and development of platforms for the integrated management of groundwater. Bringing together freshwater and conservation institutions in a multi-country context towards integrated water resource management is an initial and novel attempt which forms the foundation for achieving optimal governance approaches in the commons.

The concept of integrated water resource management requires an in-depth analysis of water inflows into a river basin. Population growth and the uncertainties associated with climate change are causing increased water stress and droughts, which are impacting agriculture. Hence the need for studies on the impact of climate change on demand-supply interactions in river basins. In this study, a generic decision support system, ModSim, was used; for the first time in the region; to examine the agricultural water usage and demands over Souss basin in Morocco. ModSim was calibrated over the period from 1990 to 2019 using recorded data about physical processes and hydraulic infrastructures features and management. The simulations succeeded in replicating different deficit episodes at the various irrigated perimeters. During the simulated period from 2012 to 2019, it was observed that the water supplies for the different dams in the basin experienced a decline ranging from 38% to 89%. As a result, the average total unmet demand for surface water from reservoirs in irrigated areas reached 201 mm3 between 1990 and 2019 and the monthly average demand increases by 55% in the dry season, compared to the demands in the rest of the year. The significant amount of unmet demand across all sites suggests that demands are satisfied by the withdrawal of water from groundwater resources. The adopted approach has proven to be a useful decision support tool to understand water resources planning challenges. Water managers require such reliable tools to represent the basinapos;s water trade-offs. Thus, additional investigation to improve the representation of groundwater/surface water interaction approaches is required to enhance the evaluation of the consequences of different uses, especially in arid and semi-arid regions with significant water stress such as Souss. A conceptual framework as well as a detailed discussion have been produced in order to guide efficient water management and governance.

This paper presents the composite drought indicator (CDI) that Jordanian, Lebanese, Moroccan, and Tunisian government agencies now produce monthly to support operational drought management decision making, and it describes their iterative co-development processes. The CDI is primarily intended to monitor agricultural and ecological drought on a seasonal time scale. It uses remote sensing and modelled data inputs, and it reflects anomalies in precipitation, vegetation, soil moisture, and evapotranspiration. Following quantitative and qualitative validation assessments, engagements with policymakers, and consideration of agencies’ technical and institutional capabilities and constraints, we made changes to CDI input data, modelling procedures, and integration to tailor the system for each national context. We summarize validation results, drought modelling challenges and how we overcame them through CDI improvements, and we describe the monthly CDI production process and outputs. Finally, we synthesize procedural and technical aspects of CDI development and reflect on the constraints we faced as well as trade-offs made to optimize the CDI for operational monitoring to support policy decision-making—including aspects of salience, credibility, and legitimacy—within each national context.

Agriculture plays a critical role in ensuring food and nutrition security, livelihood, and rural employment in Nepal. Despite substantial investments and institutional reforms, irrigation projects have faced consistently low performance. While existing studies have shed light on technical aspects of irrigation performance, they often focus on specific themes rather than holistic evaluations of sustainability. This research systematically assesses barriers and challenges to effective irrigation water management in Nepal by assessing and ranking the challenges faced by three irrigation systems located in western Nepal: Mahakali, Rani Jamara Kulariya, and Babai. To investigate these challenges, we collected data from 449 households, which provided insights into 33 indicators representing key barriers to effective irrigation and agricultural management. The identified challenges were categorized into four broad thematic areas: physical and structural, agricultural and water, socioeconomic and market, and gender and governance. A comprehensive evaluation was conducted to compare these challenges among the three irrigation schemes, different thematic areas, and various locations within each scheme (namely, the head, mid, and tail sections of the system). The findings revealed that timely access and availability of fertilizers, spring water availability and fair market prices of agricultural products are the most significant challenges. The Babai irrigation system faced the most substantial challenges among the three systems, particularly in the middle section. These findings emphasize the interconnectedness of these challenges, highlighting the need for a holistic approach to planning, implementation, and management. Integrated strategies are essential to address socioeconomic, market, and endogenous farming issues, ensuring reliable irrigation water availability for sustainable agricultural production.

This article presents a cultural competence-based (CCB) framework to analyse contemporary science culture. Starting from the observation that two separate views of culture-as-context and culture-as-practice cannot address the ongoing transitions in the contemporary sciences towards esoteric–exoteric trans-sphere governance and multicultural science, we introduce key ideas from ‘older’ varieties of competence-based culture theories. We argue that a spectrum of cultural and sociocultural systems shapes contemporary science culture by being (un)supportive of individual scientists acquiring cultural competence and guiding scientists’ research practices. In contrast, individual scientists’ cultural competence shapes the fabrication of cultural and sociocultural systems through their scientific practices, thereby shaping contemporary science cultures. We also synthesize different concepts of science culture, reflect the transitions in contemporary sciences and construct three dimensions of the cultural system, sociocultural system and cultural competence from various elements. By providing a conceptual framework that contributes to a better understanding and management of contemporary science culture, we hope to enhance effective work ethics and fit-for-purpose science knowledge to address emerging ‘wicked’ societal challenges.

The positive impact of stakeholder engagement (SE) in smart city development initiatives has received notable scholarly attention over the past decade. Researchers of stakeholder engagement have investigated various aspects of the engagement process from different theoretical perspectives, yet the complexity and dynamism of inclusion, especially at the societal level and in the context of smart city development, continue to inspire more research. Drawing from the intersection of open strategy (OS) and SE, we seek to enhance understanding of the open strategizing process by elucidating stakeholder inclusion practices in a smart city initiative, focusing on food systems in Da Nang, Vietnam. Our participatory action research draws on 114 semi-structured interviews and four stakeholder workshops to analyze the way stakeholder inclusion practices unfold in the strategic decision-making process of a smart city initiative. Our analysis reveals that stakeholder inclusion is complex and involves four interdependent practices at different stages of the strategizing process. These practices are trust formation, common language creation, role transformation, and expectation alignment. Together, they culminate in the creation of an interactive social space for the strategy-making process. The proposed analytical framework highlights the interdependencies among practices and their outcomes at different stages of the open strategizing process and could serve as a guideline in a context in which stakeholder inclusion at the planning phase is necessary to achieve systemic change.

In the context of river basins, the threat of climate change has been extensively studied. However, many of these studies centred on hazard analysis while neglecting the need for comprehensive risk assessments that account for exposure and vulnerability. Hazard analysis alone is not adequate for making adaptive decisions. Thus, to effectively manage flood risk, it is essential to understand the elements that contribute to vulnerability and exposure in addition to hazard analysis. This study aims to assess flood risk (in space and time until the year 2100) for the agricultural system, in the White Volta Basin in northern Ghana. Employing the impact chain methodology, a mix of quantitative and qualitative data and techniques were used to assess hazard, exposure, and vulnerability. Multi-model climate change data (RCP 8.5) from CORDEX and observation data from the Ghana Meteorological Agency were used for hazard analysis. Data on exposure, vulnerability, and adaptation were collected through structured interviews. Results indicate that flood hazard will increase by 79.1% with high spatial variability of wet periods but the flood risk of the catchment will increase by 19.3% by the end of the twenty-first century. The highest flood risk is found in the Upper East region, followed by North East, Northern, Savannah, and Upper West for all four analysed periods. Adaptive capacity, sensitivity, and exposure factors are driven by poverty, ineffective institutional governance, and a lack of livelihood alternatives. We conclude that the region is highly susceptible and vulnerable to floods, and that shifting from isolated hazard analysis to a comprehensive assessment that considers exposure and vulnerability reveals the underlying root causes of the risk. Also, the impact chain is useful in generating insight into flood risk for policymakers and researchers. We recommend the need to enhance local capacity and foster social transformation in the region.

CONTEXT: Digital innovations can enhance the participation of often-marginalized social groups – including women and resource-poor farmers in low- and middle-income countries – in sustainable, profitable food systems. But digital interventions can also reinforce existing inequities by further increasing the competitive advantage of user groups privileged with literacy, access to smartphones, or high investment capacity. To ensure that the digital transformation in the Global South leaves no one behind, therefore, deliberate efforts are needed to promote the inclusivity of emerging digital innovations. To date, however, there is a lack of practical guidelines and tools to critically assess, demonstrate, and enhance the inclusivity of digital food systems interventions. Too often, inclusivity remains a blurry concept and distant objective. In result, digital development researchers and practitioners have limited incentives for investing time and effort into safeguarding inclusivity.; OBJECTIVE: With this short communication, we intend to contribute to future, practice-oriented discussions about social inclusivity in development-oriented digital interventions for sustainable food systems. We provide a critical reflection on the current discourse around digital inclusion in development context and outline challenges and opportunities for considering inclusivity in the design and deployment of digital food system innovations.; METHODS: Drawing on literature as well as the authors’ own experiences with the design and implementation of digital innovations within research-for-development, we highlight ‘blind spots’ in the current discourse around digital inclusion in low- and middle-income country context. We then develop practical suggestions for overcoming these limitations.; RESULTS AND CONCLUSIONS: We propose a concrete agenda for enabling researchers and other innovation stakeholders, including donors, to contribute to more inclusive digital food system innovation in low- and middle-income countries. First, a standard concept and procedure is required for transparently assessing the inclusivity of digital services. Second, as many digital development stakeholders work under resource constraints, simple design tools can help them effectively consider social inclusion criteria during the design of digital solutions. Lastly, a stronger emphasis on inclusivity is required throughout the research-for-development system, ensuring that design processes themselves are inclusive, rather than considering only the final digital products.; SIGNIFICANCE: As the importance of digital innovation keeps growing within the wider agricultural development discourse, this article helps researchers and practitioners gain conceptual clarity on the goal of digital inclusion. Through concrete suggestions on how inclusivity could be considered in practice, the article promotes a more equitable, inclusive digital transformation of food systems.

Global polls have shown that people in high-income countries generally report being more satisfied with their lives than people in low-income countries. The persistence of this correlation, and its similarity to correlations between income and life satisfaction within countries, could lead to the impression that high levels of life satisfaction can only be achieved in wealthy societies. However, global polls have typically overlooked small-scale, nonindustrialized societies, which can provide an alternative test of the consistency of this relationship. Here, we present results from a survey of 2,966 members of Indigenous Peoples and local communities among 19 globally distributed sites. We find that high average levels of life satisfaction, comparable to those of wealthy countries, are reported for numerous populations that have very low monetary incomes. Our results are consistent with the notion that human societies can support very satisfying lives for their members without necessarily requiring high degrees of monetary wealth.

Antibiotic resistance is a globally recognized health concern which leads to longer hospital stays, increased morbidity, increased mortality, and higher medical costs. Understanding how antibiotic resistance persists and exchanges in environmental systems like soil, water, and wastewater are critically important for understanding the emergence of pathogens with new resistance profiles and the subsequent exposure of people who indirectly/ directly come in contact with these pathogens. There are concerns about the widespread application of prophylactic antibiotics in the clinical and agriculture sectors, as well as chemicals/detergents used in food and manufacturing industries, especially the quaternary ammonium compounds which have been found responsible for the generation of resistant genes in water and soil. The rates of horizontal gene transfer increase where there is a lack of proper water/wastewater infrastructure, high antibiotic manufacturing industries, or endpoint users – such as hospitals and intensive agriculture. Conventional wastewater treatment technologies are often inefficient in the reduction of ARB/ARGs and provide the perfect combination of conditions for the development of antibiotic resistance. The wastewater discharged from municipal facilities may therefore be enriched with bacterial communities/pathogens and provide a suitable environment (due to the presence of nutrients and other pollutants) to enhance the transfer of antibiotic resistance. However, facilities with tertiary treatment (either traditional/emerging technologies) provide higher rates of reduction. This review provides a synthesis of the current understanding of wastewater treatment and antibiotic resistance, examining the drivers that may accelerate their possible transmission to a different environment, and highlighting the need for tertiary technologies used in treatment plants for the reduction of resistant bacteria/genes.

There are debates regarding the safety of faecal derived fertiliser (FDF) due to notions that harmful substances may persist at undetectable levels. A major concern is the recolonisation of indigenous pathogens and nutrient changes while undergoing storage. Abiotic factors such as duration and temperature on indigenous pathogen re-growth and nutrient during FDF storage have received little research attention. In this study, we assess the effect of varying storage temperature conditions and duration on indigenous E. coli re-growth and NPK changes of different FDF (enriched co-compost, NECo and co-compost, Co) during storage. A 2 × 3 × 6 factorial design was used with factors: fertiliser, temperature, and duration. The factorial had 36 experimental conditions in a completely randomised design with three replications. FDF samples were collected monthly for 6 months and analysed for pH, EC, organic carbon, N, NH4-N, NO3-N, P, K, E. coli, and total coliform. Findings show storage temperature and duration did not affect indigenous E. coli re-growth and total N in stored NECo and Co. However, NH4-N concentrations of NECo decreased between 27% and 55% with increasing duration of storage at lower temperatures (5C and 25C). The significance of this study for the FDF industry is that it is safe after storage and longer storage do not necessarily influence nutrient losses in stored FDF. Future studies are recommended to investigate the effect of moisture on stored FDF.

After years of fragmented efforts to create circular approaches to waste management in Ghana, the new circular bio-economy (CBE) Innovation Hub in Ghana is bringing together diverse stakeholders to jointly promote existing CBE approaches through training, advice, demonstrations, and research, while fostering the development of new, accessible innovations.

Introduction: Land degradation is a significant environmental challenge across sub-Saharan Africa. In recent decades, efforts have been undertaken, with varying successes, to rehabilitate degraded rural landscapes. However, there needs to be more evidence on the outcomes regarding enhanced productivity, environmental management, and socio-economic benefits. Methods: This study uses a case study approach, using contrasting sites from Ethiopia and Mali to appraise restoration innovations implemented through various programs. Two distinct sites were chosen from each of the study cases, and an extensive literature search was conducted to document the evidence, focusing on the sustainability gains derived from integrated landscape management (ILM). For this, the sustainable intensification assessment framework (SIAF) was used, encompassing five domains, namely productivity, economic, environmental, social, and human condition, and featuring scales from plot to landscape, all facilitated by simplified yet robust indicators such as yield, soil loss, net income, land access, and food availability. Results: Results highlighted a higher productivity gain (35% to 55%) and an improved socio-economic benefit (gt;20%). The ILM in the Ethiopian highlands enabled a significant improvement in wheat and barley yield (p lt; 0.01). Introducing new crop varieties integrated with the in-situ and ex-situ practices enabled diversifying crops across the landscape and significantly reduced runoff and soil loss (p lt; 0.05). By increasing the cultivable land by 44%, household income was increased by selling potatoes and agroforestry products. In Mali, ILM practices reduced soil loss to 4.97t/ha from 12.1t/ha. In addition to the improvements in the yield of sorghum and maize (33% and 63%, respectively), rehabilitating the once marginal and abandoned landscape in Mali enabled landless and female-headed households to work together, improving the social cohesion among the groups. The introduction of irrigation facilities enabled widowed women to increase household vegetable consumption by 55% and increase their income by 24%. Discussion: The study showed positive evidence from ILM practices in the two contrasting landscapes. However, there is a need to address challenges related to the absence of timely data monitoring and documentation of successful practices. For this, the generation of evidence-based data and the use of advanced geo-spatial tools such as Remote Sensing and GPS-installed drones are recommended.

A convergence of several risk drivers creates the compound crises we see across the globe today. At the same time, the global humanitarian community and national institutions in affected countries are increasingly resource constrained. In this context, existing financing mechanisms should be evaluated for their potential to create synergies between social protection, peace, and inclusion objectives on the one hand and climate resilience outcomes on the other. The existing international architecture of climate change mitigation and adaptation policy and financing holds, in principle, the potential to address not only its main purpose of climate action, but also to contribute to development outcomes and address multiple risk drivers. Examples of this exist, but for these mutual benefits to emerge, and for climate finance to contribute more significantly to crises prevention, the agendas must become more aligned. Aligning several factors may enable coherence: i) Timeframes, from short-term response to multi-year programming; ii) Planning and targeting, moving towards conflict-sensitive area-based approaches and universal access to services; iii) Institutional arrangements and partnerships, coordinated national planning and jointly implemented local action.

Adopting One Health approaches is key for addressing interconnected health challenges. Yet, how to best put One Health into practice in research-for-development initiatives aiming to ‘deliver impacts’ remains unclear. Drawing on the CGIAR Initiative on One Health – a global initiative to address zoonotic diseases, antimicrobial resistance, and food and water safety – we reflect on challenges during program conception and implementation, prompting us to suggest improvements in multisectoral collaboration, coordination, and communication. Our approach involves conducting a researcher-centered process evaluation, comprising individual interviews that are subsequently thematically analyzed and synthesized. The key takeaway is that limited time for planning processes and short program timelines compared to envisioned development impacts may impede research-for-development efforts. Yet, collaborative work can be successful when adequate time and resources are allocated for planning with minimal disruption throughout implementation. Additionally, due to the multifaceted nature of One Health initiatives, it is important to pay attention to co-benefits and trade-offs, where taking action in one aspect may yield advantages and disadvantages in another, aiding to identify sustainable One Health development pathways. Forming close partnerships with national governments and local stakeholders is essential not only to promote sustainability but also to ensure local relevance, enhancing the potential for meaningful impact. Finally, regularly assessing progress toward development goals is critical as development stands as an overarching objective.

Smallholder farms are major contributors to agricultural production, food security, and socioeconomic growth in many developing countries. However, they generally lack the resources to fully maximize their potential. Subsequently they require innovative, evidence-based and lowercost solutions to optimize their productivity. Recently, precision agricultural practices facilitated by unmanned aerial vehicles (UAVs) have gained traction in the agricultural sector and have great potential for smallholder farm applications. Furthermore, advances in geospatial cloud computing have opened new and exciting possibilities in the remote sensing arena. In light of these recent developments, the focus of this study was to explore and demonstrate the utility of using the advanced image processing capabilities of the Google Earth Engine (GEE) geospatial cloud computing platform to process and analyse a very high spatial resolution multispectral UAV image for mapping land use land cover (LULC) within smallholder farms. The results showed that LULC could be mapped at a 0.50 m spatial resolution with an overall accuracy of 91%. Overall, we found GEE to be an extremely useful platform for conducting advanced image analysis on UAV imagery and rapid communication of results. Notwithstanding the limitations of the study, the findings presented herein are quite promising and clearly demonstrate how modern agricultural practices can be implemented to facilitate improved agricultural management in smallholder farmers.

Assessing the efficiency gains, in terms of crop production and productivity, of using agricultural water management is critical to understanding the comparative advantage of using different storage and water-lifting technologies in irrigation development. This study aims to compare the efficiency differences among irrigation farmers using various water-lifting technologies and among users of various technology suites in the Central Rift Valley, Ethiopia. Cross-sectional data collected from 320 randomly selected smallholder farmers, considering the 2019/2020 production season, were used to analyse a one-step Cobb–Douglas stochastic frontier function. The results of the study revealed the existence of technical and allocative efficiency differences between gravity and fuel pump users. Factors that positively determine the level of technical efficiency scores are gender, age, education status, technology type and extension contact. Irrigation experience, access to credit, training and technology type positively affected allocative efficiency, while the distance to the irrigation water source had a negative effect. The findings have important implications for agricultural policy and practice as improving efficiency through the adoption of fuel-powered water-lifting technology could further improve overall agricultural productivity. Designing small-scale friendly business models and promoting irrigation extension services, among others, is critical for scaling successful water management technologies.

Undesirable changes in surface water and groundwater resources and land quality for biophysical and institutional reasons will further endanger the livelihoods of people in Central Asia. The farmersapos; understanding of these problems and the adaptation and solution strategies they opt for are the critical variables in devising relevant policies. Our findings captured significant disparities between farmer-perceived water shortages and officially documented water availability, as well as soil salinity discrepancies. Farmersapos; coping strategies, including crop alterations and water-saving measures, often lead to tradeoffs, such as reduced crop yields. The study highlights the need to consider farmer perceptions and practices along with official data when designing policies. Effective policymaking must consider this dynamic interplay and the multifaceted challenges faced by farmers in these vulnerable Aral Sea regions.

Indigenous Peoples and local communities with nature-dependent livelihoods are disproportionately affected by climate change impacts, but their experience, knowledge and needs receive inadequate attention in climate research and policy. Here, we discuss three key findings of a collaborative research consortium arising from the Local Indicators of Climate Change Impacts project. First, reports of environmental change by Indigenous Peoples and local communities provide holistic, relational, placed-based, culturally-grounded and multi-causal understandings of change, largely focused on processes and elements that are relevant to local livelihoods and cultures. These reports demonstrate that the impacts of climate change intersect with and exacerbate historical effects of socioeconomic and political marginalization. Second, drawing on rich bodies of inter-generational knowledge, Indigenous Peoples and local communities have developed context-specific responses to environmental change grounded in local resources and strategies that often absorb the impacts of multiple drivers of change. Indigenous Peoples and local communities adjust in diverse ways to impacts on their livelihoods, but the adoption of responses often comes at a significant cost due to economic, political, and socio-cultural barriers operating at societal, community, household, and individual levels. Finally, divergent understandings of change challenge generalizations in research examining the human dimensions of climate change. Evidence from Indigenous and local knowledge systems is context-dependent and not always aligned with scientific evidence. Exploring divergent understandings of the concept of change derived from different knowledge systems can yield new insights which may help prioritize research and policy actions to address local needs and priorities.

The effects of climate change depend on specific local circumstances, posing a challenge for worldwide research to comprehensively encompass the diverse impacts on various local social-ecological systems. Here we use a place-specific but cross-culturally comparable protocol to document climate change indicators and impacts as locally experienced and analyze their distribution. We collected first-hand data in 48 sites inhabited by Indigenous Peoples and local communities and covering all climate zones and nature-dependent livelihoods. We documented 1,661 site-agreed reports of change corresponding to 369 indicators. Reports of change vary according to climate zone and livelihood activity. We provide compelling evidence that climate change impacts on Indigenous Peoples and local communities are ongoing, tangible, widespread, and affect multiple elements of their social-ecological systems. Beyond potentially informing contextualized adaptation plans, our results show that local reports could help identify economic and non-economic loss and damage related to climate change impacts suffered by Indigenous Peoples and local communities.

Environmental flows (e-flows) are a central element of sustainable water resource management to mitigate the detrimental impacts of hydrological alteration on freshwater ecosystems and their benefits to people. Many nations strive to protect e-flows through policy, and thousands of local-scale e-flows assessments have been conducted globally, leveraging data and knowledge to quantify how much water must be provided to river ecosystems, and when, to keep them healthy. However, e-flows assessments and implementation are geographically uneven and cover a small fraction of rivers worldwide. This hinders globally consistent target-setting, monitoring and evaluation for international agreements to curb water scarcity and biodiversity loss. Therefore, dozens of models have been developed over the past two decades to estimate the e-flows requirements of rivers seamlessly across basins and administrative boundaries at a global scale. There has been little effort, however, to benchmark these models against locally derived e-flows estimates, which may limit confidence in the relevance of global estimates. The aim of this study was to assess whether current global methods reflect e-flows estimates used on the ground, by comparing global and local estimates for 1194 sites across 25 countries. We found that while global approaches broadly approximate the bulk volume of water that should be precautionarily provided to sustain aquatic ecosystems at the scale of large basins or countries, they explain a remarkably negligible 0%–1% of the global variability in locally derived estimates of the percentage of river flow that must be protected at a given site. Even when comparing assessments for individual countries, thus controlling for differences in local assessment methods among jurisdictions, global e-flows estimates only marginally compared (R 2 0.31) to local estimates. Such a disconnect between global and local assessments of e-flows requirements limits the credibility of global estimates and associated targets for water use. To accelerate the global implementation of e-flows requires further concerted effort to compile and draw from the thousands of existing local e-flows assessments worldwide for developing a new generation of global models and bridging the gap from local to global scales.

Solar irrigation pumps (SIPs) are emerging as a popular technology to address water, energy, and climate change challenges in South Asia while enhancing livelihoods and food security. SIPs are deemed to be a women-friendly renewable energy technology (RET) due to their design, operating system, and safety. While the gender dimensions of natural resources are well documented, the extent to which the water, energy, and food (WEF) policies—including policies to promote SIP technologies in the countries of South Asia—conceptualize and operationalize gender equality and social inclusion (GESI) is not well understood. Therefore, in this study, we reviewed 39 WEF sectoral policies of Bangladesh and Nepal by adopting a gender-transformative analysis approach to rank the policies on a continuum ranging from a scale of 0–3 (denoting gender-unaware, gender-aware, gender-responsive, and gendertransformative). We found that the governments in both countries commit to gender equality and women’s advancement in their WEF sector policies, institutions, and decision-making by ensuring gender and justice principles in their constitutions and national development frameworks. However, these higher-level aspirational principles are not always operationalized in the WEF sector policies. We found that the WEF policies are aware of the need to include GESI and social equity in sectoral programming, yet operational rules for their implementation often fail to challenge structural barriers. Such barriers hinder women and marginalized groups from participating in and benefiting from WEF policies, including the deployment of SIP technologies. This calls for a transformation not only in project implementation but also in the policymaking processes of WEF sectors in the South Asian region.

South Africa’s legally binding National Water Resource Strategy specifies a people-oriented prioritization for the equitable allocation of the nation’s public trust of surface and groundwater resources. This article analyses how the Inkomati–Usuthu Catchment Management Agency seeks to operationalize the three highest priorities in the Sabie Sub Catchment: the Basic Human Needs Reserve for domestic and constitutionally based productive water uses; customary water tenure in former homelands prioritized over the upstream commercial forestry and large-scale farming and the downstream Kruger National Park; and priority General Authorizations overcoming administrative injustices of current licensing. These highest priorities imply curtailment of the lowest priority, high-impact economic uses.

Land degradation is a severe environmental problem in the northern and northwestern Ethiopian highlands. As a response to increasing land degradation, rehabilitation of degraded grazing lands through exclosures (exclusion of farmers and domestic animals) has been undertaken. This study aimed to evaluate the effectiveness of 11 and 8-year exclosures in improving degraded landscapes in the Karita-Wuha and Dengora watersheds. It was assumed that the conditions on communal grazing lands at the time of the investigation corresponded to those at the establishment of exclosures. Vegetation was inventoried, and soil samples were collected and analyzed in 14 and 21 sampling sites selected from exclosures and communal grazing lands in Dengora and Karita-Wuha watersheds, respectively. Sampling plots (20 × 20 m) were established for soil sampling. In the two land uses, 10x10 m and 5x5 m sub-plots were used to survey trees and bushes/shrubs, respectively. Richness, diversity, evenness, and aboveground biomass (AGB) were evaluated using measurements from the vegetation inventory. Organic carbon (OC), total nitrogen (TN), and available phosphorus (AP) and their stocks were used as soil nutrient indicators. The result showed that exclosures aided in restoring vegetation in both watersheds and soil nutrient parameters in the Dengora watershed compared with communal grazing lands. In the Karita-Wuha watershed, there was significantly higher OC, TN, and their stocks in communal grazing land than exclosures (t-test, p lt; 0.05). These results are generally attributed to the fact that communal grazing lands were significantly degraded before exclosure and have yet to recover. As a result, exclosures of Dengora and Karita-Wuha watersheds were limited in restoring degraded landscapes. There have been differences in the effectiveness of lt; 11- and gt; 11-year exclosures in restoring degraded landscapes in the literature. The effectiveness of various aged exclosures in restoring degraded landscapes is likely variable and dependent on local biophysical parameters and land use systems.

Environmental degradation is one of the potentially unforeseen consequences of sanctions, yet few studies have investigated how sanctions affect the environment. For instance, by restricting the acquisition of more efficient technologies, sanctions can strain natural resources and erode environmental performance. Therefore, this study investigates the moderating effects of trade integration on the underlying links between several types of sanctions (i.e., military, arms, trade, financial, and travel) and the environmental quality of the target country. A rich dyadic dataset consisting of 214 sender countries/states, 135 target countries/states, and 28,532 country pairs is used for the empirical analysis. A multi-way panel fixed effects model is employed for the empirical analysis. This approach allows us to control for the unobserved sender and target country-specific as well as time-specific characteristics that might affect environmental performance. The results show that most sanctions result in the deterioration of the environmental quality. In contrast, trade sanctions promote the environmental quality of the target country. We also find that sanctions adversely impact the ecological aspect of the environment while positively influencing the climate change aspect of environmental quality. The results also show that greater bilateral trade interdependence between the sender and the target country helps to mitigate the adverse impacts of most sanctions. The findings of this study suggest that the real effects of sanctions on environmental quality cannot be empirically disentangled if several types of sanctions are clubbed under the umbrella of ‘sanctions’ and captured using a single dummy variable, as is often done in the extant literature. Policies that encourage greater economic integration, such as trade liberalization with multiple countries, can be used strategically by a country to reduce threats of being sanctioned or vulnerabilities to the negative effects of sanctions on the environment.

Purpose: Eastern Africa has a complex hydroclimate and socio-economic context, making it vulnerable to climate change-induced hydrological extremes. This review presents recent research on drivers and typologies of extremes across different geographies and highlights challenges and improvements in forecasting hydrological extremes at various timescales.; Recent Findings: Droughts and floods remain the major challenges of the region. Recently, frequent alterations between droughts and floods have been a common occurrence and concern. Research underlines the heterogeneity of extremes and the impact of climate change as increased intensity and duration of extremes. Moreover, the importance of local and antecedent conditions in changing the characteristics of extremes is emphasized.; Summary: A better understanding of these drivers and how they interact is required. Observational and modeling tools must capture these relationships and extremes on short timescales. Although there are improvements in forecasting these extremes, providing relevant information beyond meteorological variables requires further research.

Egypt’s quota of Nile River water has been constant since the 1950s, despite the continual agricultural land expansion. To facilitate land reclamation, Egypt has reallocated Nile water from downstream users, mostly smallholders in the ‘old lands’ of the Delta. As water demands have grown, more attention has gone to the reuse of waste/drainage water as a reliable source for irrigated agriculture in the “old lands”. Recently, new mega plants for drainage water treatment have been built to promote reclamation of ‘new lands’ in desert-front governorates located outside the Nile Delta. Through these plants and the related water conveyance infrastructure, drainage water from the ‘old lands’ is now being collected, treated, and reallocated to these newly reclaimed areas. This article scrutinizes this transformation of access to drainage water, examining who benefits and what implications it holds for smallholder farmers in the old lands. The analysis suggests that waste/drainage water reclamation schemes do not tap into unused water but actually risk depriving smallholders in the Nile Delta of water access. It argues that more attention should be given to existing informal reuse arrangements and that smallholders’ access to water is guaranteed in light of new drainage water reuse projects.

Climate change poses a significant threat to agricultural systems worldwide. In Pakistan, an agrarian country where the majority of the population relies on agriculture for their livelihoods, the impacts of climate change can be particularly devastating. Understanding the adaptive capacity of farmers is crucial in order to identify effective strategies for coping with the impacts of climate change. This study aimed to assess the adaptive capacity of farmers in Rajanpur and Dera Ghazi Khan, two flood-prone districts of South Punjab, Pakistan. Data were collected in October 2022 from 448 farmers through multistage stratified random sampling, and multivariate regression and bivariate probit models were used to analyze the likelihood of farmers adopting certain joint strategies and the impact of socioeconomic factors on their decision-making. Results indicated that concern for climate change and knowledge of market value of crops were significant determinants for farmers adopting joint strategies, while farmers with more experience and alternate sources of income were less likely to do so. Increased irrigation was a top strategy used despite its potential negative environmental impacts. Findings highlight the need for a holistic approach to climate adaptation that considers complex social, economic, and environmental factors and appreciates the complex decision-making process that farmers undergo. Understanding the local context is key to developing effective interventions to support climate resilience and sustainable livelihoods in agricultural communities.

Irrigation expansion is critical for agricultural and rural development, food and nutrition security, and climate change adaptation in Sub-Saharan Africa (SSA). Lack of accessible energy for irrigation development due to limited off- and on-grid infrastructure and the resulting dependence on costly fuel-based irrigation have been key inhibiting factors for irrigation expansion in the region. Off-grid solar-powered irrigation pumps (SIPs) can overcome many of the energy access and other challenges in the region, but their uptake has been slow. Given the nascent development of the solar irrigation sector in SSA, this paper combines a review of the peer-reviewed and grey literature with key informant interviews to identify systemic barriers to the adoption and growth of solar-powered irrigation. We identify uncovered risks, lack of incentives, and lack of capacity as the key factors limiting the adoption of solar-powered irrigation. Moreover, despite significant global cost reductions, solar-powered irrigation systems remain costly in SSA due to limited market development and geographical constraints. Lack of regulation and low investment in building local institutions and value chains further affect uptake and inhibit leveraging the energy transition for ensuring food security and agriculture-led poverty alleviation in SSA. We propose a move away from thinking of SIPs as “silver bullets” and towards a systems approach and the design of context-specific solutions to address risks, incentives and capacity challenges.

Agriculture consumes the largest share of freshwater globally; therefore, distinguishing between rainfed and irrigated croplands is essential for agricultural water management and food security. In this study, a framework incorporating the Budyko model was used to differentiate between rainfed and irrigated cropland areas in Africa for eight remote sensing landcover products and a high-confidence cropland map (HCCM). The HCCM was generated for calibration and validation of the crop partitioning framework as an alternative to individual cropland masks which exhibit high disagreement. The accuracy of the framework in partitioning the HCCM was evaluated using an independent validation dataset, yielding an overall accuracy rate of 73 %. The findings of this study indicate that out of the total area covered by the HCCM (2.36 million km2 ), about 461,000 km2 (19 %) is irrigated cropland. The partitioning framework was applied on eight landcover products, and the extent of irrigated areas varied between 19 % and 30 % of the total cropland area. The framework demonstrated high precision and specificity scores, indicating its effectiveness in correctly identifying irrigated areas while minimizing the misclassification of rainfed areas as irrigated. This study provides an enhanced understanding of rainfed and irrigation patterns across Africa, supporting efforts towards achieving sustainable and resilient agricultural systems. Consequently, the approach outlined expands on the suite of remote sensing landcover products that can be used for agricultural water studies in Africa by enabling the extraction of irrigated and rainfed cropland data from landcover products that do not have disaggregated cropland classes.

In this paper, we present an analysis of summertime atmospheric simulation (June–July 2016) for southern West Africa (sWA) using the RegCM 4.7.1 regional climate model to describe the atmospheric behaviour over the region, and also engage comparisons between the modelled data and observed upper air data acquired during the DACCIWA (Dynamics–Aerosol–Chemistry– Cloud Interactions in West Africa) field campaign period. First, assessments of relative humidity and zonal wind profiles were made for selected coastal and inland stations, to infer the relative vertical and temporal atmospheric differences for both locations. Thereafter, the model’s performance was evaluated, capturing an excessive wet bias in RH profiles of the model with accompanying reduced zonal winds at the Tropical Easterly Jet (TEJ) region and thus produces excessive upper tropospheric cloud liquid water content. Also, in the lower troposphere (particularly, the monsoon layer), RegCM 4.7.1 model captures adequate spatial differences in both RH and zonal wind profiles along the coast and inland. We judge this outcome to be a valuable contribution on the path to rendering RegCM4 a good tool for simulating atmospheric and climate dynamics in sWA.

Early warning systems (EWS) facilitate societies’ preparedness and effective response capabilities to climate risks. Climate risks embody hazards, exposure, and vulnerability associated with a particular geographical area. Building an effective EWS requires consideration of the factors above to help people with coping mechanisms. The objective of this paper is to propose an approach that can enhance EWSs and ensure an effective climate risk resilience development. The paper focuses on the Southern African Development Community (SADC) region and highlights the issues with EWS, identifying weaknesses and characteristics of EWS to help in climate risk adaptation strategies. The SADC region was chosen as the context because it is a climate variability and change hotspot with many vulnerable populations residing in rural communities. Trending themes on building climate risk resilience were uncovered through scientific mapping and network analysis of published articles from 2008 to 2022. This paper contributes to on-going research on building climate risks resilience through early warning systems to identify hidden trends and emerging technologies from articles in order to enhance the operationalization and design of EWS. This review provides insight into technological interventions for assessing climate risks to build preparedness and resilience. From the review analysis, it is determined that there exists a plethora of evidence to support the argument that involving communities in the co-designing of EWS would improve risk knowledge, anticipation, and preparedness. Additionally, Fourth Industrial Revolution (4IR) technologies provide effective tools to address existing EWS’ weaknesses, such as lack of real-time data collection and automation. However, 4IR technology is still at a nascent stage in EWS applications in Africa. Furthermore, policy across societies, institutions, and technology industries ought to be coordinated and integrated to develop a strategy toward implementing climate resilient-based EWS to facilitate the operations of disaster risk managers. The Social, Institutional, and Technology model can potentially increase communities’ resilience; therefore, it is recommended to develop EWS.

Soil salinity and sodicity problems are one of the major challenges to the permanence of irrigated agriculture in Ethiopia. This manuscript, therefore, concerns its spatial and temporal variation under irrigated fields and suggests possible management options. For this investigation, eight monitoring locations were selected based on the irrigation intensity that farmers practised in the area. With each location, three irrigated farmersapos; fields were randomly selected for sampling purposes. Likewise, six farmersapos; fields from the rain-fed system were also selected for comparison purposes. Sampling was performed at the beginning and end of each cropping season for three consecutive years from 2017 to 2019. The major physical and chemical properties of the soil were analysed in accordance with standard laboratory procedures. A linear model of two-way analysis of variance was used to analyse parameters across time and space. The results indicated that the majority of the soil properties studied showed significant differences (p lt; 0.05) over time. This implies that the change is in accordance with the seasonal soil property, possibly due to irrigation practices. Similarly, approximately 90% of the soil properties studied showed noticeable differences (p lt; 0.05) across locations. Almost all salinity indicators showed an increasing trend in irrigated fields compared to their situation in rain-fed fields. For instance, the electrical conductivity (EC) and exchangeable sodium percentage (ESP) values across the fields ranged from 0.54 to 0.82 dS m ¹ and 8–1%, respectively, with maximum values observed in irrigated fields. This implies that irrigation practices influence soil properties in the area. In addition, the ESP values approaching the maximum permissible limit suggest that sodicity may cause more problems than salinity in the area. Therefore, agronomic practices (e.g. residue management, deep tillage, salttolerant crops and periodic fallowing), irrigation and drainage management practices, and amendments may help farmers mitigate salinity and sodicity problems in the area.

The transition to solar-powered irrigation in South Asia offers an opportunity to cut greenhouse gas emissions and reduce dependency on expensive diesel. However, appropriate institutional and financial models are required to scale up this technology. Three different solar irrigation pump (SIP) implementation modalities coexist in Bangladesh, providing a good opportunity to evaluate and gain insightful knowledge on the solarization process. These conclusions are also applicable to neighboring countries dealing with comparable problems. The three models are (i) community-managed SIP model, (ii) individual ownership model, and (iii) fee-for-service model. In this article, we argue that the fee-for-service model involving a market-based approach and public-private partnership is the most promising in terms of addressing two main challenges in solarization, i.e. high capex financing requirement and generation of sufficient demand. In terms of achieving equity in SIP access and groundwater sustainability, all three models have their respective pros and cons. However, the financial sustainability of SIPs is under threat due to the significant project costs. It is imperative to expedite the integration of SIPs with the national power grid while implementing supportive government policies. This includes enhancing buy-back tariffs and introducing net-metering options to ensure long-term sustainability.

A bibliometric study on mapping the rice cropping systems in VMD is crucial for understanding the trend of EO-based rice mapping and how remote sensing technologies are essential to address the food security issue in the region. This article presents an overview of Earth observation (EO)-based rice mapping strategies since 1979, prioritizing the scope of data, approaches, and techniques derived from 3700 research articles worldwide and contrasting them with the Vietnamese Mekong Delta (VMD). Various quantitative analyses were conducted through bibliometric analysis using the VOS viewer and Scopus database. Optical images, particularly the Landsat (~16%) and MODIS (~12%) time series datasets, were the most commonly utilized globally. MODIS data (~31%) had the highest share in the VMD context, followed by Landsat data (~19%), while Sentinel series (~13% for global and ~16% for VMD) data became more popular in recent years. Research on rice mapping using UAVs has been gradually creeping into rice mapping research globally, but a gap is yet to be filled in the VMD. The most widely used approaches for rice mapping globally were Random Forest, Support Vector Machine, and Principal Component Analysis. Spectral indices like EVI, NDVI, and RVI were commonly used for rice mapping and monitoring. The findings underscore the critical role of EO-based rice mapping studies in the VMD in addressing sustainability and food security challenges.

Scenario-guided foresight processes are increasingly used to engage a broad range of stakeholders in sharing knowledge, reflecting, and setting priorities to respond to present and future climate change related dynamics. They are particularly useful to inform agricultural policies and planning in the face of a changing climate. Such participatory approaches are key to integrating multidisciplinary expertise, perspectives, and viewpoints, and ensuring that the multi-faceted vulnerabilities and the development needs of diverse groups are addressed in the design, planning, and implementation of climate adaptation policy. However, in practice, ensuring meaningful participation in the policy process is far from straightforward. In this paper, we examine the integration of gender and social inclusion considerations in 15 scenario-guided foresight use cases across Africa, Latin America, and Southeast Asia to determine the ways in which gender and social inclusion dynamics were considered and integrated at different stages of scenario-guided planning processes. To inform the analysis, we use qualitative data from key informant interviews, interviewing scenario coordinators and a gender and social inclusion expert who was engaged in one of the cases; we also review associated reports and outputs. The results suggest that few scenario-guided planning processes centred gender and social inclusion considerations from an early stage and consistently throughout the interventions, translating often into low diversity of stakeholders and insufficient depth reached in the content produced. A number of common challenges are reported including time, budget, and human resource constraints, as well as existing power and institutional dynamics. The latter includes, for instance, low women’s representation in technical organizations or important hierarchical social norms structuring discussions. While the focus on the future can disrupt established modes of doing, the complexity of foresight methods can also undermine effective participation leading to important trade-offs. Innovations in the modes of engagement and parallel processes with diverse groups can be important leverage points for inclusion within policymaking processes.

Soil and water conservation have been traditionally part of farming practices for thousands of years. Despite massive efforts to implement modern soil and water conservation practices (SWCPs) in the Ethiopian Highlands, soil erosion increased after the 1970s when social and political events led to a remarkable change in land use. This review aims to critically analyze the impact of conservation practices on soil loss and crop yield and highlight research and modeling gaps. In doing so, 120 published articles on experimental and simulated soil losses in the Ethiopian Highlands were retrieved from the refereed literature. We found that most published experimental studies evaluating SWCPs lasted less than five years in areas of less than 100 ha. Most modeling studies were over short periods, too; some models simulated soil loss over large areas. The literature analysis for these short-term experimental studies showed that SWCP decreased soil loss on individual sites and increased crop yield in semi-arid regions. Simulated sediment concentration increased as a function of watershed size, while observed soil losses did not follow this trend. Moreover, the decrease in soil loss due to the soil and water conservation practices on small plots was also greatly overestimated. Consequently, past research and current modeling techniques are inconclusive on the effectiveness of SWCPs in large catchments over periods exceeding five years and those with active gullies. Additional long-term experimental studies in catchments are required to evaluate whether SWCPs can decrease sediment loads.

Hydro-climatic extremes, such as floods and droughts, are influenced by climate change and climate variability, significantly affecting natural ecosystems, human lives, and livelihood. It is crucial to advance the understanding of long-term trends of hydro-climatic extremes for effective water resource planning and management. We analyzed 25 climatic extremes-related indices and 33 hydrologic extremes-related indices in a medium-range river basin in western Nepal, the Babai River Basin. We used RClimDex and Indicators for Hydrologic Alterations to analyze extreme climatic and hydrologic parameters. We computed monotonic trends to evaluate temporal changes in extreme events. The results show a positive trend of total precipitation at Kusum (+ 2.2 mm/year) and Bargadaha (+ 17.7 mm/year) stations and a negative trend at Gulariya (- 5.7 mm/year), Nayabasti (- 7.0 mm/year), Luwamjula (- 5.9 mm/year), and Ghorai (- 18.5 mm/year) stations. Similarly, we observe that almost all temperature extreme indices have a rising trend except the percentage of the days when the maximum temperature is less than the 10th percentile index at Rani Jaruwa station, located at a low elevation. Notably, the cold day temperature index falls at 0.13 days per year. Overall, the hydrologic alteration value shows moderate variability and reduction in the median flow for the second half. The findings of this study indicate that the study area is subjected to a reduced flow regime with a medium degree of variability.

Antibiotics have revolutionised medicine in the last century and enabled the prevention of bacterial infections that were previously deemed untreatable. However, in parallel, bacteria have increasingly developed resistance to antibiotics through various mechanisms. When resistant bacteria find their way into terrestrial and aquatic environments, animal and human exposures increase, e.g., via polluted soil, food, and water, and health risks multiply. Understanding the fate and transport of antibiotic resistant bacteria (ARB) and the transfer mechanisms of antibiotic resistance genes (ARGs) in aquatic environments is critical for evaluating and mitigating the risks of resistant-induced infections. The conceptual understanding of sources and pathways of antibiotics, ARB, and ARGs from society to the water environments is essential for setting the scene and developing an appropriate framework for modelling. Various factors and processes associated with hydrology, ecology, and climate change can significantly affect the fate and transport of ARB and ARGs in natural environments. This article reviews current knowledge, research gaps, and priorities for developing water quality models to assess the fate and transport of ARB and ARGs. The paper also provides inputs on future research needs, especially the need for new predictive models to guide risk assessment on AR transmission and spread in aquatic environments.

Quantifying water-saving potential (WSP) is crucial for sustainable water resource management in canal command areas and river basins. Previous studies have partially or fully ignored the importance of groundwater in WSP assessments, particularly in irrigated areas. This study is aimed at quantifying WSP in the Lower Chenab Canal (LCC) command area of the Indus River Basin, Pakistan, under various scenarios of future climate change and groundwater recharge. These quantifications are conducted using an empirical model based on the Budyko theory. The model was forced using observed, remote sensing, and CMIP6 future climate data for two Shared Socioeconomic Pathways (SSP245 and SSP585) and their ensembles (cold-dry, cold-wet, warm-dry, and warm-wet) for possible futures. The results showed that the average WSP in the LCC command area was 466 48 mm/year during the historical period (2001–2020). The WSP is projected to decrease by – 68 3% under the warm-dry ensemble scenario (SSP245 and SSP585) and – 48 13% under the ensembled cold-wet scenario by 2100. The results also demonstrated that WSP could be increased by up to 70 9% by artificially recharging 20% of the abstracted groundwater per year in the LCC command area by the late twenty-first century. Our findings highlight the importance of adopting artificial groundwater recharge to enhance the WSP and sustainably manage water resources in the LCC command area. Policymakers should consider these findings when deciding on water resource management in the Indus River Basin.

Freshwater biodiversity loss is accelerating globally, but humanity can change this trajectory through actions that enable recovery. To be successful, these actions require coordination and planning at a global scale. The Emergency Recovery Plan for global freshwater biodiversity aims to reduce the risk for freshwater biodiversity loss through six priority actions: (1) accelerate implementation of environmental flows; (2) improve water quality to sustain aquatic life; (3) protect and restore critical habitats; (4) manage exploitation of freshwater species and riverine aggregates; (5) prevent and control nonnative species invasions in freshwater habitats; and (6) safeguard and restore freshwater connectivity. These actions can be implemented using future-proofing approaches that anticipate future risks (e.g., emerging pollutants, new invaders, and synergistic effects) and minimize likely stressors to make conservation of freshwater biodiversity more resilient to climate change and other global environmental challenges. While uncertainty with respect to past observations is not a new concern for freshwater biodiversity, future-proofing has the distinction of accounting for the uncertainty of future conditions that have no historical baseline. The level of uncertainty with respect to future conditions is unprecedented. Future-proofing of the Emergency Recovery Plan for freshwater biodiversity will require anticipating future changes and developing and implementing actions to address those future changes. Here, we showcase future-proofing approaches likely to be successful using local case studies and examples. Ensuring that response options within the Emergency Recovery Plan are future-proofed will provide decision makers with science-informed choices, even in the face of uncertain and potentially new future conditions. We are at an inflection point for global freshwater biodiversity loss; learning from defeats and successes can support improved actions toward a sustainable future.

Environmental flows (e-flows) aim to mitigate the threat of altered hydrological regimes in river systems and connected waterbodies and are an important component of integrated strategies to address multiple threats to freshwater biodiversity. Expanding and accelerating implementation of e-flows can support river conservation and help to restore the biodiversity and resilience of hydrologically altered and water-stressed rivers and connected freshwater ecosystems. While there have been significant developments in e-flow science, assessment, and societal acceptance, implementation of e-flows within water resource management has been slower than required and geographically uneven. This review explores critical factors that enable successful e-flow implementation and biodiversity outcomes in particular, drawing on 13 case studies and the literature. It presents e-flow implementation as an adaptive management cycle enabled by 10 factors: legislation and governance, financial and human resourcing, stakeholder engagement and co-production of knowledge, collaborative monitoring of ecological and social-economic outcomes, capacity training and research, exploration of trade-offs among water users, removing or retrofitting water infrastructure to facilitate e-flows and connectivity, and adaptation to climate change. Recognising that there may be barriers and limitations to the full and effective enablement of each factor, the authors have identified corresponding options and generalizable recommendations for actions to overcome prominent constraints, drawing on the case studies and wider literature. The urgency of addressing flow-related freshwater biodiversity loss demands collaborative networks to train and empower a new generation of e-flow practitioners equipped with the latest tools and insights to lead adaptive environmental water management globally. Mainstreaming e-flows within conservation planning, integrated water resource management, river restoration strategies, and adaptations to climate change is imperative. The policy drivers and associated funding commitments of the Kunming–Montreal Global Biodiversity Framework offer crucial opportunities to achieve the human benefits contributed by e-flows as nature-based solutions, such as flood risk management, floodplain fisheries restoration, and increased river resilience to climate change.

Groundwater is the single largest source of water for irrigation and domestic use in India. Climate change further exacerbates the threat of depletion, reducing food security and increasing the vulnerabilities of resource users. Governance is complicated by externalities associated with its attributes as an invisible and fluid resource which create problems of rivalry and exclusion. Based on theory-based case studies for evaluation of selected World Bank projects, we analyse challenges for groundwater governance and identify factors that contribute to depletion. It highlights the need for integrating and balancing demand and supply-side approaches, including water-efficient irrigation and climate-smart practices.

Background: A faecal sludge (FS) co-composting study assessed the extent of consistency in compost characteristics between and within batches. The study focused on the consistency of the co-composting process by measuring the variability of key parameters. Method: The set up consisted of 12 FS and food waste (FW) co-composting piles in three successive batches (1, 2 and 3). Consistency was assessed in the three successive batches of co-composted FS and food waste (FW). Within batches, consistency was assessed in each of them by dividing it into four separate replicate piles. Characteristics of interest were E. coli, as well as selected physico-chemical parameters (pH, EC, Mg, Ca, N, NH4-N, NO3-N, P, avail. P, and K) and heavy metals (Se, Fe, Cd, Cu, Hg, Ni, Pb and Cr). Data were subjected to analysis of variance (ANOVA) using SPSS. Result: Results show that, E. coli levels were not consistent between the successive batches during the entire co-composting process. While variations between batches were only observed for EC and nutrient parameters, variations were evident for several measured characteristics within batches. The measured coefficient of variations (CVs) within batches ranged between 0–125% and 3–111% for heavy metals and nutrients, respectively. Conclusion: In conclusion, there was less consistency in nutrients between successive batches and CV within batches was wide. Consistency levels for E. coli may not be an issue if pathogen inactivation is complete. Recommendation: It is recommended that a threshold value be created for determining what is an acceptable level of variation in FS co-composting.

Rainwater harvesting for irrigation can increase sustainable access to irrigation and improve farmer resilience to climate change, particularly in semi-arid regions of sub-Saharan Africa. However, attempts to increase adoption of rainwater harvesting for irrigation in Kenya have rarely been successful, despite decades of efforts by governments, NGOs, and development practitioners. Most scholars investigating reasons for these low levels of adoption tend to focus on hydrogeological, techno-managerial, or socio-economic factors, and leave out explanations grounded in the analysis of macro-level cultural, political, economic, and environmental dynamics within a specific context. To fill this gap, this article analyzes historical processes of two sites to identify how these dynamics contributed to an enabling environment for rainwater harvesting for irrigation in Kenya. The concept of technological innovation systems, which describes processes central to the emergence, growth, and diffusion of technological innovations, was used as a lens to examine long-term rainwater harvesting for irrigation adoption dynamics in the two sites. The identification of elements exogenous to the innovation system demonstrated that ecological, demographic, macroeconomic, political, cultural, and socio-economic elements exerted a major influence on the development of an enabling environment for rainwater harvesting for irrigation. Exogenous elements influenced levels of adoption by shaping the capacity and quality of elements within rainwater harvesting innovation systems, giving rise to systemic problems or opportunities, and influencing the speed of system development.

Irrigation is widely considered a potential means to improve agricultural productivity, nutrition, and income, as farmers can carry out farming and production year-round. However, the feasibility of irrigation technologies is highly dependent on the long-term economic return farmers achieve. Solar-based irrigation could address the challenges of underinvestment in irrigation within Africa. Evidence on the economic viability of the adopted solar pumps such as MajiPump is very scant and focused on ex post evaluation. This study evaluated the income and nutritional feasibility of solar-powered irrigation using the MajiPump in sub-humid Ethiopian highlands using the farm simulation (FARMSIM) model and compared it with the manual pulley system. Results from the FARMSIM model show that farmers’ adoption of Maji solar pump technology to grow vegetables is economically feasible with financial support such as credit or loan for initial and capital investment to acquire the pump. The average profit under the solar MajiPump, drip irrigation, and conservation agriculture was 3.6 times higher than that of the baseline scenario. While the pulley technology provides the same amount of irrigation water to grow vegetables, its feasibility is limited due to high labor costs and time, estimated to be more than seven times the baseline. The simulation results show that the alternative scenarios’ nutrition level has improved relative to other scenarios and met the minimum daily average nutrition requirement level for proteins, iron, and vitamin A but fell short in fat, calcium, and calories. The results suggest that farmers who adopt improved small-scale irrigation technologies (solar MajiPump and drip system) have a higher potential to increase production and income from irrigated crops and improve their nutrition if part of the income generated is used to purchase supplemental food for their nutrition.

The absence of a basin-wide apportionment agreement on using the Nile River equitably has been a long-standing source of disagreement among Nile riparian states. This study introduces a new approach that the riparian states can consider that quantifies the Nile River’s apportionment. The approach includes (1) developing a basin-wide database of indicators representative of the United Nations Watercourse Convention (UNWC) relevant factors and circumstances, (2) developing an ensemble of indicator weighting scenarios using various weighting methods, and (3) developing six water-sharing methods to obtain a range of apportionments for Egypt, Sudan, Ethiopia and the group of the White Nile Equatorial States for each weighting scenarios. The results illustrate a relatively narrow range of country-level water apportionments, even though some individual factor weights vary from 3% to 26%. Considering the entire Nile River, the water apportionment for Ethiopia ranges from 32% to 38%, Sudan and South Sudan from 25% to 33%, Egypt from 26% to 35%, and the Equatorial States from 5% to 7%. We trust that the six proposed equitable water-sharing methods may aid in fostering basin-wide negotiations toward a mutual agreement and address the dispute over water sharing.

The Buffalo River catchment in KwaZulu-Natal, South Africa, has limited water resource infrastructure development, and climate change is predicted to increase its water supply deficits by exacerbating water distribution inequalities. This study evaluates and optimises current climate change policy plans on the Buffalo River catchments water system to aid in assessing the sustainability of policies that address the aforementioned challenges. The water–energy–food (WEF) nexus approach, which encourages system thinking by considering interconnections among water, energy, and food resources when developing integrated natural resource management strategies, was used to perform the evaluation. The water system’s reliability in meeting projected domestic, agricultural, and energy water demands under climate change conditions was used for gauging the sustainability of the development plans. Findings projected the existing water policy plans to increase the domestic water provision by .70% under climate change; however, the ,3% increase in irrigation and energy generation water demand coverage yielded a significant contrast in reliability between densely populated areas and regions with extensive agricultural activities. The optimised policy plans, which improved water provision for all considered sectors increased by .20% under climate change, are thus recommended for future water resource management research and dialogue in the Buffalo River catchment.