Water and poverty interface is strongly interconnected and a robust assessment of water stress is crucial to identify needy areas and develop appropriate intervention for poverty reduction. Water Poverty Index (WPI) provides an interdisciplinary tool to assess water stress by linking physical estimates of water availability with socio-economic drivers of poverty. This study presents an application of Water Poverty Index (WPI) to estimate and compare the level of water stress in 27 districts of Koshi River Basin in Nepal. Based on data availability, relevance to the study area and review of literatures, 12 indicators were selected under five key components outlined by WPI. The study result shows medium-low degree (WPI = 54.4) of water poverty in the Koshi River Basin in Nepal. The WPI score varies widely (from 49.75 to 69.29) along the districts and it was found that districts in Tarai regions and urban areas were more water stressed compared to the districts in mid-hill and high-hill regions. Priorities for intervention must be given to the districts in Tarai regions and urban areas with a low WPI score, explicitly on the sector regarding access to water and sanitation to address water poverty in the basin.

Experiences of left-behind family members of transnational migrant workers have been in the shadow of academic discourse on migration. To contribute to the slowly growing body of literature, this study explores the impact of male out-migration on left-behind wives. The study proposes and applies a novel framework to estimate Women Empowerment Index (WEI) for comparing the empowerment level across households with and without men in transnational labor. Cross-sectional surveys and unstructured interviews were used to collect data from 373 respondents from three selected areas in Nepal. Results indicate that left-behind wives experience a higher degree of decision-making authority, physical mobility, and involvement in socio-political spheres compared to women with husbands at home. However, left behind wives were found to experience increased unpaid workload and decreased access to information, together with emotional and psychological costs in the absence of their husbands.

Drought vulnerability analysis at the household level can help people identify livelihood constrains and potential mitigation and adaptation strategies. This study used meteorological and household level data which were collected from three different districts (Kavrepalanchowk, Sindhuli, and Saptari) in the Koshi River Basin of Nepal to conduct a drought vulnerability analysis. We developed a model for assessing drought vulnerability of rural households based on three critical components, i.e., exposure, sensitivity, and adaptive capacity. The results revealed that Saptari (drought vulnerability index, 0.053) showed greater vulnerability to drought disasters than Kavrepalanchowk (0.014) and Sindhuli (0.007). The most vulnerable district (Saptari) showed the highest exposure, the highest sensitivity, and the highest adaptive capacity. Kavrepalanchowk had the middle drought vulnerability index with middle exposure, low sensitivity, and middle adaptive capacity. Sindhuli had the lowest vulnerability with the lowest exposure, the lowest sensitivity, and the lowest adaptive capacity. On the basis of the results of the vulnerability assessment, this paper constructed livelihood adaptation strategies from the perspectives of households, communities, and the government. Many households in Kavrepalanchowk and Sindhuli significantly depend on agriculture as their main source of income. They need to implement some strategies to diversify their sources of income. In addition, the most important livelihood adaptation strategy for Saptari is improving water conservancy facilities to facilitate the allocation of water.

Understanding the pattern of species distribution and the underlying mechanism is essential for conservation planning. Several climatic variables determine the species diversity, and the dependency of species on climate motivates ecologists and bio-geographers to explain the richness patterns along with elevation and environmental correlates. We used interpolated elevational distribution data to examine the relative importance of climatic variables in determining the species richness pattern of 26 species of gymnosperms in the longest elevation gradients in the world. Thirteen environmental variables were divided into three predictors set representing each hypothesis model (energy-water, physical-tolerance, and climatic-seasonality); to explain the species richness pattern of gymnosperms along the elevational gradient. We performed generalized linear models and variation partitioning to evaluate the relevant role of environmental variables on species richness patterns. Our findings showed that the gymnosperms’ richness formed a hump-shaped distribution pattern. The individual effect of energy-water predictor set was identified as the primary determinant of species richness. While, the joint effects of energy-water and physical-tolerance predictors have explained highest variations in gymnosperm distribution. The multiple environmental indicators are essential drivers of species distribution and have direct implications in understanding the effect of climate change on the species richness pattern.

This article provides a comprehensive analysis of the multifaceted impacts of transnational migration in Nepal, drawing on findings from 42 systematically selected research articles. Employing a thematic analysis approach, the study constructs a schematic representation delineating four key themes: the use effect of remittance income on individuals, the offset effect on land, the substitution effect on people due to a reduced workforce, and the neglect effect on land stemming from decreased working members in households and communities. This comprehensive examination sheds light on the migration dynamics and addresses its implications for rural sustainability. The central theme underscores the connections between transnational migration and its implication for food security, livelihood enhancement, income diversification, and ecological restoration. The paper emphasizes the importance of understanding these interlinkages for informed policy decisions aligned with long-term macroeconomic goals. The synthesized framework contributes to theoretical foundations and encourages further research on the impacts of transnational migration in agrarian economies and the pathways for socio-economic transitions.