Multi-Scale analysis of the impacts of soil and water conservation practices and landscape on grain yield and return on investment in the sub-humid ethiopian highlands.

Ethiopia's sub-humid highlands face a critical challenge in balancing agricultural productivity with land degradation. This study explores the effectiveness of soil and water conservation practices (SWCPs) in addressing this challenge. We investigated the interaction effects of types of SWCPs, landscape positions, and location on Teff (Eragrostis teff) and wheat (Triticum aestivum) yield. In addition, we assessed the economic viability of SWCPs using cost-benefit analysis with farmer-funded and cost-sharing scenarios. The results indicated that yield was significantly affected by the interactions between factors like SWCP type and landscape position. Soil bunds consistently increased crop yield across diverse locations and landscapes, indicating superior erosion control benefits. Lower landscape positions on foot slopes benefited most from SWCP implementation. Teff yield increased by 188 % and wheat yield by 181 % under soil bunds. The cost-benefit analysis confirmed the financial viability of SWCPs, particularly for Teff (NPV = 4499.35 USD, IRR = 50 %, and BCR = 1.51) and wheat (NPV = 544.35 USD, IRR = 16 %, and BCR = 1.06) grown on lower landscapes with farmer-funded investment scenarios. Positive return on investment was observed in both scenarios, with cost-sharing offering greater economic benefits for farmers. These findings highlight the importance of an integrated approach to SWC implementation for achieving multiple Sustainable Development Goals (SDGs) by enhancing food security, improving farmer incomes, and promoting sustainable and productive landscape management practices. Future research should explore the long-term sustainability of SWCPs, their adaptation across diverse agroecological zones and landscapes, the incorporation of various crops, the broader socioeconomic impacts, and the development of effective extension programs for wider adoption by farmers.

Moringa-based homestead to achieve Sustainable Development Goals: A case study from Jaintiapur of Sylhet, Bangladesh.

A study was conducted in Sylhet at Jaintiapur Upazila to determine the prospects of Moringa-based homestead concerning Sustainable Development Goals. A household survey was conducted following a simple random sampling of 135 farmers and following a semi-structured questionnaire and interview schedule with 100 farmers (40 identified Moringa-based adopters and 60 non-adopters). The final questionnaire was prepared after pilot testing, which contained data on common species diversity, and the perception of farmers regarding SDGs indicators of "no poverty, zero hunger, good health, and well-being, gender equality, affordable and clean energy, decent work and economic growth". The extent of agreement was recorded following the points Likert scale high (3) to no change (0), and the SDG index (SDGI) value was calculated. The 10 key informant interviews were conducted with non-adopters to get insights into their perception regarding Moringa-based homesteads. The findings revealed that the status of plant species diversity such as betel nut (100 %), mango (100 %), bean (99 %), and arjun (90 %) was higher in comparison to non-adopters where the status of the respective species was 92 %, 99 %, 89 %, and 73 % respectively. The perception assessment revealed that 100 % of adopters and 90 % of non-adopters believed that Moringa-based homesteads had the potential to increase access to food, nutrition, and medicinal resources. While the majority of 70 % of adopters, and 90.5 % non-adopters disagreed that it had the potential to ensure government access and non-government credit resources. Among the Moringa-based homestead adopters, the gross income derived from Moringa sales was 2828.57 ± 1481.45, where 55 % of homesteads were identified to have Moringa plants between 3 and 5, and homesteads solely supplied fuel materials for 40 % of households. Gender participation was quite evident for homestead farming activities, where female participation was higher in planting, weeding, irrigation, and fencing. Homesteads provided both on-farming and off-farming income opportunities where major responses were found for poultry farming (96 %), vegetable farming (95 %), and day labor (97 %). Farmers were found to practice climate-smart practices of homestead agroforestry (100 %), rainwater harvesting (99 %), weeding (98 %), and management of debris (95 %) in their respective homesteads. The results disclosed that Moringa-based homestead in Sylhet can be a potential option for attaining SDGs indicators of escalation of household income (SDGI = 90), access to food, nutrition, and medicinal resources (SDGI = 103.6), facilitation of natural treatment of diseases (SDGI = 104.6), de-escalation of gender discrepancy in terms of production activities (SDGI = 103.64), own source of fuel (SDGI = 58.44), both off-farm and on-farm income opportunity (SDGI = 100.52), ecosystem health maintenance by resilient practices (SDGI = 104.6). Farmers ranked food security capacity as a major motivational factor, while the low economic return was a major demotivational factor. The escalation of Moringa-based homesteads needs to be prioritized while facilitating credit, and institutional support to extend encouragement to non-adopters for wider integration of Moringa-based homesteads, and appropriate utilization of the existing resources for greater profitability.

The Unequal Economic and Livelihood Impacts of COVID-19 Lockdowns: Qualitative Evidence from Uganda.

Lockdowns were a key policy response to the COVID-19 pandemic. While they were viewed as a necessary intervention, concerns were raised about their potential for harmful economic and livelihood impacts. However, few studies have addressed the unequal economic and livelihood impacts of lockdowns. Our article reports findings from a qualitative study conducted in Uganda on economic and livelihood impacts of COVID-19 lockdowns in urban and rural settings. This study used 14 focus group discussions, 40 household, and 31 key informant interviews in both urban (Kampala district) and rural (Wakiso district) areas in central Uganda. Data analysis was conducted thematically with NVivo 2020 (QSR International). The findings emphasize the unequal impacts of the COVID-19 lockdowns across a range of dimensions: informal sector activities, formal employment, fluctuating prices alongside scarcity and surpluses, food insecurity, and government interventions. Wealthier households in urban areas were least affected, with urban households reliant on informal sector activities experiencing the most significant impacts. Our findings also suggest that longer-term development strategies, such as increased food self-sufficiency and informal sector interventions can support future pandemic preparedness and response. To address these impacts, policymakers should provide targeted support, alongside protecting key productive sectors, and supply chains.

The role of agroforestry systems for addressing climate change livelihood vulnerability of farmers of Northwestern Ethiopia.

Farmers in Ethiopia have been vulnerable to climate change in recent decades. In the face of this change, farmers have managed agroforestry systems to maintain their livelihoods. However, studies exploring the role of agroforestry in reducing household vulnerability are lacking in Northwestern Ethiopia. The objectives of the study were to (i) investigate households' livelihoods vulnerability to climate change in Northwestern Ethiopia; (iii) assess the role of agroforestry in mitigating the negative impacts of climate change on farmers livelihoods. Key informant interviews, in-depth interviews, household surveys (387), and focus group discussions were used to collect the data. Descriptive statistics, principal component analysis, the X2-test, and the t-test were run to analyze the data. The findings revealed that households are vulnerable to rising temperatures, rainfall variability, frost, disease and pests, erosion, hailstorms, price hikes, wildlife damage to crops, and health stress. Agroforestry non-practitioners had a higher livelihood vulnerability index (LVI) (0.42 ± 0.081) than practitioners (0.46 ± 0.079). The Livelihood Vulnerability-Intergovernmental Panel for Climate Change Index (LVI-IPCC) showed that AF non-practitioners had a higher exposure (0.58), sensitivity (0.54) index, and a lower adaptive capacity index (0.44) than the exposure (0.34), sensitivity (0.38), and adaptive capacity index (0.51) of practitioners. Plant diversity, income level and diversity, livelihood activities, social network, and food security status of farmers were improved by agroforestry. Farmers were therefore less susceptible to adverse climate shocks. Thus, the AF system could be part of future adaptation and resilience programs that provide dependable tools to minimize households' vulnerability to climate shocks. However, management guidelines, such as understanding local ecosystems, setting clear objectives, choosing suitable species, planning for diversity, considering the market, and regular maintenance and monitoring, are needed for agroforestry to improve its contribution.

Uncovering the reasons behind the failure of pastoralists in adopting climate change adaptation strategies.

Climate change has caused pastoralists to face serious challenges all around the world. To reduce climate change vulnerability, adaptation strategies need to be adopted by pastoralists. In this regard, the present research was done to seek the reasons for the failure of the northeastern pastoralists of Iran in adopting climate change adaptation strategies. The study is descriptive, which conducted by a field survey. The target population included 249 pastoralists from 7 pastoral units, of whom 148 people were selected as sample size using the stratified random sampling technique. The survey instrument was a researcher-made questionnaire. The content validity and face validity of the questionnaire were checked by the experts. Convergent validity was also confirmed based on the average variance extracted (AVE). Cronbach's α coefficient and composite reliability (CR) were used to evaluate the internal consistency of the questionnaire. The results showed that social and, regulatory and insurance components were the most critical internal and external weaknesses of the pastoralists' failure in adopting climate change adaptation strategies, respectively. Structural equation modeling showed that external weaknesses had positive and significant effects on internal weaknesses of the pastoralists' failure in adopting climate change adaptation strategies.

Beyond grassland degradation: Pathways to resilience for pastoralist households in alpine grassland ecosystems.

Sustaining the development of rural and pastoral communities' hinges on livelihood resilience. Pastoralist household resilience relies on resource availability and decision-making abilities. Despite extensive studies on pastoralist livelihoods, a significant knowledge gap remains in understanding the nuanced adaptive capacities of diverse households, particularly amid grassland degradation. Thus, this study investigates the household-based livelihood resilience of pastoralists in China's Three-River Headwater Region, offering policy recommendations for resilient livelihoods. Using stratified random sampling, 758 pastoralist household heads underwent semi-structured interviews to collect data. Five household characteristics, encompassing age, gender, energy use, well-being perception, and multi-household grazing participation, were evaluated. Looking ot the nature of data, descriptive statistics and non-parametric tests were performed in this study to draw the valid inferences. The results revealed a positive correlation (p < 0.05) between household head age and livelihood resilience, with divergent resilience across age groups. Varied energy usage yielded distinct impacts; households employing solar or mixed energy sources exhibited heightened resilience (p < 0.05). Household well-being emerged as an invariant variable concerning resilience. Furthermore, engagement in multi-household grazing (an informal institution) significantly (p < 0.05) influenced pastoralist livelihood resilience. These insights advocate targeted support for young household heads and the adoption of clean energy. Exploring the deeper strategies and mechanisms of multi-household grazing can enhance understanding and policy integration, guiding eco-friendly progress within rustic landscapes for pastoral communities.

Social sustainability in Bangladesh marine fisheries management: A case from Hatiya fishing community.

Social sustainability in fisheries focuses on retaining or improving societal welfare in the fishery system without threatening its long-term financial benefits and socio-cultural welfare. However, often social sustainability issues are ignored while implementing any fisheries management actions rather than only focusing on economic and environmental sustainability issues. This study assesses the social sustainability in Bangladesh marine fisheries management gaining insights from the coastal and marine fisheries-dependent communities of Hatiya Upazila in 2021-2022 using a mixed method approach especially focusing on the social issues during the marine fishing ban. Results have shown positive effects on fish production but negative implications on the socio-economic circumstances of the reliant households after the implementation of the marine fishing ban. During the ban, the ability of around 33 % of fisher households to have 3 meals a day has drastically reduced to 2 or 1 meal per day. Households' average fish intake has reduced from 7 kg to 4 kg per week during the ban. Similarly, there have been detrimental effects on family relationships, healthcare access and children's education during the ban. Moreover, pregnant women and children have suffered greatly from protein deficiencies as fishers could not buy protein-rich foods for their families during the ban. Due to the shortage of alternate income-generating activities (AIGAs), almost 71 % of fishers became indebted during the ban. To assist the fishers during the ban, the government has implemented several measures, such as offering incentives (40 kg of rice per registered fisherman per month) and/or AIGA but those are too scant to recompense for the loss that is incurred due to the fishing ban. Finally, this study provides some way forward to bring social sustainability that is affected due to the marine fishing ban as well as to partly meet the targets of Sustainable Development Goals 1, 2, 14 and 15.

Assessing coastal population capacity in Tsunami-prone areas: A grid-based approach.

Tambakrejo Beach in Blitar Regency is classified as an area that is very vulnerable to tsunami catastrophes. Many researchers have conducted studies on regions impacted by the tsunami. However, more studies into the link between the outcomes of social and spatial studies still need to be carried out because these are two different perspectives with different parameters and variables. The novel approach in this research involves delineating tsunami-affected areas and assessing population capacity in coastal regions. The hazard maps and livelihood asset variables using grid cells of a specific size have been used to identify risk levels. The grid cells used are 50 m2 × 50 m² so that they are expected to represent the minor units on the face of the earth, such as buildings, assets, property or land parcels, for capacity assessments or measuring the level of threat to disasters and are no longer based on regional administrative boundaries. Contribution: The research results show that using grid cells to analyse areas affected by the tsunami can provide excellent and informative results. Research findings at the research location regarding community preparedness in facing tsunamis show that communities at risk of being affected by the tsunami need to increase their capacity because the majority of communities in coastal areas, especially in the Sidorejo sub-village, have been identified as having low capacity according to several livelihood asset parameters such as financial capital in income. By increasing individual capacity, it is hoped that society will be able to avoid the threat of tsunami waves better.

Impacts of livelihood assets on hydropower displacees' livelihood strategies: Insights from the Tanahu hydropower project in Nepal.

Examination of livelihood assets is crucial for displaced people as it informs effective resource allocation and support. This study investigates the livelihood decisions of households displaced by Nepal's Tanahu Hydropower Project using multinomial logistic regression to evaluate how different assets affect their choices. Data were obtained using questionnaires, with a total of 185 questionnaires used for the analysis in this study. Descriptive and inferential statistics were used for data analysis. This study finds that physical assets substantially influence livelihood strategies, promoting diversification and nonfarming activities. Interestingly, social assets have a negative impact, whereas natural, financial, and human assets exert no significant effect. The study highlights the community's focus on economic stability, balancing immediate financial needs with long-term goals such as children's education. However, it reveals ongoing financial struggles, with an average daily income of only 1.962 USD and many households remaining in poverty, particularly those dependent on farming. The study also reflects on the mixed perceptions toward government policies, influenced by factors such as skill gaps and family aspirations. These findings provide essential insights for targeted support and resource allocation to displaced populations.

Exploring Cheura [Diploknema butyracea (Roxb.) H. J. Lam]: Unveiling its Ethnomedicinal Heritage, Phytochemical Composition, Pharmacological Properties, and Innovative Applications.

Diploknema butyracea (Roxb) H.J Lam, also referred as " Kalpavriksha", is commonly known as Gophal, Cheura, or Indian butter tree. It is a deciduous tree with straight trunks of 15-20m in height and white-yellow-coloured fragile flowers with fragrance, found at altitudes of 300-1500 m in the sub-Himalayan region of India, China, Nepal, and Bhutan. Diploknema have 11 taxa and 8 species, out of which 3 species are found in Uttarakhand hills, Sikkim, Darjeeling, Arunachal Pradesh, and Assam. The tree holds significant economic importance, serving various purposes within ethnic communities. Its high lipid content makes it valuable for food, medicine, construction, and the production of various value-added products. The ethno-pharmacological applications encompass treating rheumatism, burns, asthma, and skin conditions. The plant's different components-bark, leaves, flowers, seeds, and fruits-contain  diverse array of phytoconstituents, including alkaloids, tannins, flavonoids, steroids, terpenoids, and palmitic acid, along with essential nutrients like sodium, calcium, potassium, iron, magnesium, zinc, and various sugars which shows diverse pharmacological and therapeutic activities. Beyond traditional uses, Diploknema is important for diverse industrial application in pharmaceuticals, confectionery, nutraceuticals, and cosmetics. Present paper is an attempt to understand comprehensive details on different aspects of this plant to explore new avenues for various value-added products.

Assessment of conflicts under human-wildlife interactions: An application of the conservation conflict transformation model in communities adjacent to Nyerere National Park, Tanzania.

Conflicts arising from human-wildlife interactions (HWIs) pose a significant challenge in communities neighboring Nyerere National Park. To achieve long-term conservation success, it is critical to understand and resolve complex social conflicts. Currently, most attention is focused on addressing dispute-related conflicts, whereas underlying, and identity-based conflicts are understudied, resulting in inadequate information in literature regarding underlying and identity-based conflicts that drive social conflicts. Through the use of the Conservation Conflict Transformation Model (CCT), this study aimed to identify existing conflicts across three levels of conflict and assess current intervention strategies employed within the study area. Based on data collected from 324 respondents through questionnaire surveys, the study revealed that the dispute level of conflicts was lower than the underlying and identity-based levels of conflicts, emphasizing the limited scope of addressing conflicts solely at the dispute level within the context of conflicts arising from HWIs. To alleviate conflicts at the dispute level, respondents employed both lethal and non-lethal control techniques, with a preference for non-lethal methods. Additionally, socio-demographic factors including age, gender, household size, respondent's attitude towards wildlife, and residence significantly influenced the implementation of intervention strategies (P < 0.05). Furthermore, the findings revealed that respondents faced several challenges, including a lengthy incident reporting process for conflicts arising from HWIs, lack of consolation payment for damages, exclusionary practices, and lack of transparency in seeking assistance from local, wildlife, and government authorities. Overall, the study recommends adopting and implementing a holistic approach aligned with the CCT model to effectively address conflicts under HWIs. Future research should focus on thorough case studies and actual applications of the CCT model to manage conflicts under HWIs.

The impact of COVID-19 on livelihood assets: a case study of high-value crop farmers in North-West Bangladesh.

The COVID-19 pandemic has had a catastrophic impact on public health, extending to the food system and people's livelihoods worldwide, including Bangladesh. This study aimed to ascertain the COVID-19 pandemic impacts on livelihood assets in the North-Western areas (Rajshahi and Rangpur) of Bangladesh. Primary data were collected from 320 farmers engaged in high-value agriculture using a multistage sampling method. The data were analysed using first-order structural equation modelling. The findings reveal a significant impact (p < 0.01) of the pandemic on all livelihood assets in Bangladesh. Notably, human assets exhibited the highest impact, with a coefficient of 0.740, followed sequentially by financial (0.709), social (0.684), natural (0.600), physical (0.542), and psychological (0.537) assets. Government-imposed lockdowns and mobility restrictions were identified as the major causes of the pandemic's negative effects on livelihoods, which included lost income, rising food prices, decreased purchasing power, inadequate access to food and medical supplies, increased social insecurity, and a rise in depression, worry, and anxiety among farmers. The effects of COVID-19 and associated policy measures on the livelihoods of high-value crop farmers have reversed substantial economic and nutritional advances gained over the previous decade. This study suggests attention to the sustainable livelihoods of farmers through direct cash transfer and input incentive programs to minimize their vulnerability to a pandemic like COVID-19 or any other crisis in the future.

Impact of wetland health and provisioning services on the livelihood of the fishing community.

The present study aimed to explore the linkage between wetland health, provisioning service value (PsV) and livelihood vulnerability of the dependent fishermen community taking examples from the Moribund deltaic wetlands of India. Wetland health including hydrological strength, habitat state, and the water quality of the wetland was assessed using a random forest (RF) and XGBoosing machine learning approach, and the Livelihood Vulnerability Index (LVI) was computed using balanced weighted approach. Ordinary least square (OLS) regression, correlation matrix, and rank correlation matrix were done to make the relationship between wetland health and LVI. Wetland health was found poor (28.38%) in the isolated, smaller, and peripheral parts of the wetland with agricultural and built-up area proximity. Hydrological strength (with r2 of 0.67) was found as the most dominant health determinant followed by habitat state (with r2 of 0.62). OLS reported that in most of the cases, the standard regression residual is low (0.5 to - 0.5) which indicates that there is a strong relation between wetland health and LVI. KDE plot and correlation matrix also figured out the same. From the field survey, it was found that the wetlands with good habitat health are promising for providing more provisioning services like fish which in turn supports the livelihood of the dependent communities. The findings of this study have a deeper insight into livelihood management through wetland management. Hence, it would inspire policymakers and stakeholders to conserve wetlands not only for the sake of ecology but also for society.

Rural households' resilience to the adverse impacts of climate variability and food insecurity in the North-eastern highlands of Ethiopia.

Climate variability and food insecurity shocks frequently affect the livelihood of rural households. Therefore, understanding the fundamentals of resilience is essential for enhancing the capabilities of vulnerable households. The objective of this study was to analyze rural households' resilience to the adverse impacts of climate variability and food insecurity in the North-eastern highlands of Ethiopia. Based on a cross-sectional survey, both probability and non-probability sampling procedures were employed to select sample respondents, key informants and focus group discussants. Principal Component Analysis (PCA), one-way ANOVA and linear regression modeling were used to analyze the data. The results indicated that perceptions of climatic variability, agricultural assets, adaptive capacity and income and food access are the four resilience dimensions with the largest contribution to households' resilience. Likewise, social capital and access to basic services were the next positive contributors. However, agricultural technology adoption and social safety nets were insignificant contributors. Moreover, households living in the Meher livelihood zone/LHZ/were highly resilient followed by ABB and Meher-belg. On the other hand, respondents in the SWS, CHV and Belg LHZs were less resilient. Male-headed households, household heads with formal education and married households were found to be more resilient than their counterparts. The study found that 50.4 % of the respondents were non-resilient and 45.5 % were highly resilient. In conclusion, the adverse impacts of climate-related hazards associated with the existing food insecurity have deteriorated the resilience capacity of rural households by which they became highly vulnerable and could be easily exposed to shocks. The study suggested that unless well-planned intervention is implemented many households might quickly lose their resilience status to worse even by a very little shock. Moreover, enhancing capability aspects should be the primary goal of any interventions aimed at increasing households' resilience in drought-prone areas in general and the study area in particular.

Livelihood and Food Security in the Context of Sustainable Agriculture: Evidence from Tea Agricultural Heritage Systems in China.

The conservation of agricultural heritage systems (AHSs) has played a pivotal role in fostering the sustainable development of agriculture and safeguarding farmers' livelihoods and food security worldwide. This significance is particularly evident in the case of tea AHSs, due to the economic and nutritional value of tea products. Taking the Anxi Tieguanyin Tea Culture System (ATTCS) and Fuding White Tea Culture System (FWTCS) in Fujian Province as examples, this study uses statistical analyses and a multinomial logistic regression model to assess and compare farmer livelihood and food security at the tea AHS sites. The main findings are as follows. First, as the tea industries are at different stages of development, compared with agricultural and non-agricultural part-time households, the welfare level of pure agricultural households is lowest in the ATTCS, while welfare is the highest in the FWTCS. Second, factors such as the area of tea gardens and the number of laborers significantly affect farmers' livelihood strategies transformation from pure agricultural households to agricultural part-time households in the ATTCS and FWTCS. Third, the high commodity rate of tea products, combined with compound cultivation in tea gardens, provides local people with essential sources of income, food, and nutrients, so as to improve food security in the ATTCS and FWTCS. These findings are essential for designing policies to ensure farmers' livelihoods and food security through AHSs and other sustainable agriculture.

Rural infrastructure and livelihoods enhancement: The case of Community-Based Rural Development Program in Ghana.

The Community-Based Rural Development Program (CBRDP) was initially hailed as a comprehensive solution for enhancing the well-being of rural communities. However, a significant research gap exists in understanding the impact of the program's infrastructure projects on the livelihoods of its beneficiaries, necessitating a dedicated investigation. This study employed a single case study design, collecting data from district assembly staff and beneficiaries through interviews and observations, with thematic analysis as the analytical approach. The findings uncovered that the CBRDP led to the provision of economic and social infrastructure. The provision of this infrastructure empowered the beneficiaries, resulting in tangible improvements in livelihoods. However, the sustainability of these gains is not guaranteed. To address this, it is recommended that a bottom-up approach be employed for needs assessment, and the establishment of maintenance funds is deemed crucial for ensuring the sustainability of infrastructure delivers long-term benefits.

Socio-economic contributions and determinants of locals engagement with Boswellia papyrifera in lowland woodlands in Burie Zuria district, Ethiopia.

Ethiopia's lowland woodlands are comprised of the major gum and resin-producing genera Acacia, Boswellia, and Commiphora. Boswellia papyrifera is primarily found in the degraded drylands, Burie Zuria district is the existence of the species; however, limited information is available on the woodland socio-economic contribution and determinants of locals' use of woodlands for their livelihoods, particularly Boswellia papyrifera. So to fill this gap, the study was conducted to examine the locals' socio-economic benefits from the woodland and to identify the determinants of locals' engagement in the collection of the benefits for better wise use and conservation policy implementation. The data was collected from household interviews, focus group discussions, and key informants. Species' socio-economic benefits were analyzed through descriptive statistics, whereas determinants of local's willingness to use woodlands were analyzed through an econometric model. The dependent variable used was annual income gained from the woodland and explanatory variables taken were gender, marital status, livestock number, family size, land holding size, age of the respondent, education level, wealth status, perception of local communities towards forest cover change, and distance from woodlands to the household's residence. Based on the results, the total annual income derived from the woodland by the sampled households' was a mean of 1759.45 USD. The result shows the woodland species shares 14.37 % of the total annual income, but because of legal investors Boswellia papyrifera had no contribution to this share. However, the local communities use woodlands for their livelihoods due to explanatory variables, and the usage percentage shows significant differences. The multiple linear regression results showed that the model was significant at a 5 % probability level, and 95.9 % of the variation was due to the explanatory variables. Age of respondent, family size, total land holding size, and education level showed positive and statistically significant relations to annual income derived from the woodland while other remaining variables showed non-significant. The result concludes that the species contributes significantly to local communities' livelihoods and engagement in gathering timber and non-timber products. The study recommended that awareness about the use of non-timber products in addition to forest products be created among the locals, and policies related to woodland sustainability and conservation should also be implemented.

Measuring Community Urbanicity and Its Influence on Household Food Security Across Nepal's Agroecological Zones.

Background: Urbanization influences food systems and food security, but research on these associations in low- and middle-income countries remain limited, partly because of the binary and unstandardized "urban compared with rural" classifications. Objectives: To develop a community urbanicity scale, to assess its associations with household food security, and to explore whether agricultural occupation modifies this relationship across the 3 agroecological zones (mountain, hill, Tarai) of Nepal. Methods: Data came from a nationally and agroecologically representative, multistaged 2013 agri-food system survey of 4285 households with children <5 y in 63 communities (wards) in Nepal. A novel community-level urbanicity scale was constructed using factor analysis that included 8 domains. Multilevel mixed effects logistic regression was used to assess associations between urbanicity and household food security (measured using the validated Household Food Insecurity Access Scale), and to investigate modifying effects of agricultural occupation. Results: Urbanicity scores ranged between 13 and 69, of a possible 80 points. Most agricultural households in the mountains (67%) and hills (54%) were categorized food insecure. Increases in urbanicity were negatively associated with food insecurity, controlling for other factors (odds ratio [OR] per 10-unit urbanicity difference OR: 0.82; confidence interval [CI]: 0.71, 0.94; P ≤ 0.05). Agricultural occupation may have positively influenced this association though was not a statistically significant effect measure modifier (P = 0.07). Conclusions: The novel scale shows more nuance within Nepal's agroecological zones, which had similar urbanicity-to-food security relationships as well as overlapping urbanicity score distributions. Research and policy efforts should consider using scales providing more precise urbanicity measurement, and thus informative assessments on its role in predicting food insecurity, especially in agriculturally reliant populations.

The epidemiology and associated factors of non-exclusive breastfeeding: a comparative cross-sectional study of livelihood-secure and insecure areas.

Introduction: Regardless of national commitment, non-exclusive breastfeeding (NEBF) is a public health problem that worsens over time. It can be associated with sociodemographic, economic, and environmental factors and may vary depending on livelihood security. Hence, this study aimed to determine the magnitude of NEBF and identify its associated factors by considering two areas with varied degrees of livelihood security. Methods: This study represented a comparative cross-sectional survey of 1,060 under 6 months (u6m) infant-mother pairs. Both descriptive and analytic statistics were evaluated using STATA version 17 packages. A binary logistic regression was used to identify associated factors of NEBF. The odds ratio (OR) with a 95% confidence interval (CI) was used to measure the significance of the association at a p-value of <0.05. Results: The pooled magnitude of 51% of NEBF mothers (95% CI: 48.0, 54.0) was 53.1% (95% CI: 49.2, 57.0) and 48.1% (95% CI: 43.4, 52.8) in livelihood-secure and livelihood-insecure areas, respectively. The lack of recollecting the infant's birth date by mothers (AOR = 2.4; 95% CI = 1.15-4.40) had the highest odds of NEBF while household heads with tertiary education (AOR = 0.14; 95% CI = 0.01-0.54) and the poorest households (AOR = 0.43; 95%CI = 0.20-0.82) had the lowest odds of NEBF in livelihood-secure areas but not in livelihood-insecure areas. Moreover, mothers with male infants (AOR = 1.9; 95% CI = 1.18-2.92) had high odds of NEBF in livelihood-insecure areas but not in livelihood-secure areas. Infants of 2 to less than 4-month-old (AOR = 8.5; 95% CI = 3.47-18.63) and 4 to less than 6-month-old (AOR = 22.2; 95% CI = 8.02-51.97) in livelihood-secure areas and infants of 2 to less than 4-month-old (AOR = 4.3; 95% CI = 1.29-11.67) and 4 to less than 6-month-old (AOR = 8.3; 95% CI = 2.44-22.39) in livelihood-insecure areas had high odds of NEBF. Conclusion: Over half of the mothers were practicing NEBF, which represents a failure to meet national and international targets. Area vulnerability to livelihood security modifies factors of NEBF. Male infants in insecure areas, infants of unknown age in secure areas, and infants aged 2 months or older, regardless of setting, were more vulnerable to NEBF. However, households with the lowest wealth and higher household head educational status in livelihood-secure areas were less vulnerable to NEBF. Hence, livelihood-based interventions targeting mothers of 2 to less than 6-month-old infants, with emphasis on these factors, may help address and reduce NEBF.

Residents' future residential preference and its affecting factors in the rapid urbanization zone of rural China from a family life cycle perspective.

Understanding farmers' future residential preferences and the factors affecting these choices is crucial for tackling the issues related to hollow village management and rural planning. Despite limited research on the role of the family life cycle, this study explores how the family life cycle, characteristics of the household head, livelihood strategies, and resource availability shape farmers' future residential preferences. Data were collected from 777 households in China's main grain-producing area. The findings reveal that 52.90% of households prefer to stay in their current rural residences. Other favored options are elderly care facilities (13.90%), living with children in the village (12.36%), and ancestral homes (11.68%). The family life cycle significantly affects these preferences (p < 0.01), with changes in family structure and age leading to different living choices. Specifically, households in the initial (71.29%), burden (70.32%), and stable stages (40.14%) prefer their current rural residences, while those in the maintenance and empty-nest stages opt for living with their children's residences (22.22% and 16.96%, respectively) or in elderly care facilities (30.00% and 33.93%). Meanwhile, age, health, income, livelihood strategies, and land ownership also markedly influence the choice of residence. Recommendations include educational programs for elderly rural residents, improving older individuals' adaptability to rural changes, creating more rural employment opportunities, and enhancing medical and infrastructural services for the sustainable rural development.