Livelihoods Of Rural Households Research Articles

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.

Rural household livelihood strategy, household reliance on forest goods, and its effect on protected area: Evidence from communities living adjacent to Kafta-Sheraro national park, Tigray, northern Ethiopia

Issues concerning household livelihood strategies and households' reliance on forest goods around Ethiopia's protected areas have not been adequately addressed. Thus, the purpose of this study is to quantify and determine the influence of livelihood assets on the choice of livelihood strategy, as well as the contribution of forest goods to rural livelihood and its effect on park conservation. The data was collected in 2020 through a survey of 384 households. To discover livelihood strategies, cluster analysis was employed. According to the study's findings, the livelihood asset indicators that significantly affected the likelihood of the household being in one of the identified livelihood strategies were forest income, labor, education level, number of livestock in TLU, agricultural income, off-farm income, non-farm income, access to credit, membership in a cooperative, and ethnicity. The study also discovered that forest income accounted for 17 % of the total income of the sample households, which varies across livelihood strategies (10 %–24 %) and ethnic backgrounds (43 % for Kunama). Households in low-income livelihood strategies (small-business and mixed-activity operators) generate more total and relative forest income than households in high-income livelihood strategies (large-scale and small-scale). There was no safe livelihood strategy for conserving park resources, as households in the entire livelihood strategy were involved in unlawful exploitation of park resources, which resulted in the deterioration of the park's ecological resources over time. Policy on agricultural intensification and encouraging livelihood choices less dependent on natural resources through creating opportunities (credit access, skill and knowledge development, and technology) should be applied, and the use of natural resources should be regulated and evaluated regularly.

Exploring the Contribution of Agroforestry Practices to Income and Livelihoods of Rural Households in the Central Highlands of Ethiopia

Exploring the Contribution of Agroforestry Practices to Income and Livelihoods of Rural Households in the Central Highlands of Ethiopia

Impact of Nature Reserves on the Rural Household's Livelihood Vulnerability In Surrounding Communities: 17 Giant Panda Nature Reserves in China As Examples

Impact of Nature Reserves on the Rural Household's Livelihood Vulnerability In Surrounding Communities: 17 Giant Panda Nature Reserves in China As Examples

Influence of Small-Scale Irrigation on Livelihoods of Rural Farm Households in the Case of Legehida District, Ethiopia.

Irrigation development, particularly small-scale irrigation, is one of the most important projects for improving agricultural productivity in a country's rural communities. The extent to which small-scale irrigation has improved household livelihoods in Ethiopia's rural areas is not widely recognized. As a result, research on the influence of small-scale irrigation on farmers' livelihoods in the Legehida district will be sought. The study took a "with" and "without" strategy, comparing farmers who used irrigation against those who did not. For analysis, both quantitative and qualitative data were employed. The survey's respondents were chosen using a random sample approach from both irrigation users and nonuser households. Quantitative data for the study were collected from randomly selected 241 farm households, of which 113 were users and 128 were nonusers, using a semistructured questionnaire. Accordingly, the propensity score matching model was employed to examine the impacts of small-scale irrigation on farmers' livelihoods. The logit model result indicates that cultivated land size, off-farm income, education level, family size, dependency ratio, total livestock unit, and distance to the nearest agricultural extension office/FTC are determinant factors in determining whether to practice irrigation when other factors remain constant. The impact of irrigation on a household's income and food security (in terms of daily calorie intake) was evaluated using a propensity score matching model. The result shows that a positive and significant impact on farmers who use small-scale irrigation has increased the daily calorie intake and annual income of households by 244.162 kilocalories and 5234.258 ETB, respectively, as compared to nonirrigation users. This shows that households that participate in small-scale irrigation activities have a higher annual income and food security status than comparable groups. In general, the study recommends that to reduce food insecurity and the socioeconomic problems of rural households, irrigation farming is one of the viable solutions; therefore, the government and nongovernmental organizations should extensively focus on the enhancement of small-scale irrigation infrastructure, policies, strategies, and extension services to increase productivity, income, and livelihood improvement in rural households.

Bamboo research and development in Nepal

Bamboos are important sources of income for rural households in Nepal and elsewhere. This paper highlights bamboo research and development activities that have so far been carried out in Nepal and the prospects for future research and development. Bamboos, the perennial woody grasses, are one of the very important non-timber forest products of Nepal. They are an important component of rural farming system. These play a critical role in rural economy and helps sustain livelihoods of many rural households, in particular social and economically disadvantaged groups. Bamboo culms and its various products are readily sold and bought in the market (Poudyal, 1992; Das, 1999). It is in this context that Bamboo is increasingly identified as potential species for poverty reduction programs in many countries including Nepal. Box 1 indicates the importance of Bamboo for domestic as well as commercial purposes. Despite its importance, management and commercial utilization aspects are not yet fully explored to its potential in Nepal.

Agriculture-livestock-forestry nexus and household income diversification: Experiences from selected villages of West Bengal, India

CONTEXTThe COVID-19 pandemic has posed unprecedented challenges to the livelihoods of rural households, especially in developing countries. The reverse migrated workers faced the most economic crisis. They have created additional pressure on local resources and opportunities to maintain their livelihood. In this connection the agriculture-livestock-forestry nexus plays a significant role by providing them livelihood opportunities. OBJECTIVESThis paper attempts to understand the resource use patterns during the post-COVID period, and analyse the impact of agriculture-livestock-forest nexus on household income diversification and poverty reduction. METHODSThe present study uses a novel approach to fulfil the objectives of the study. A well-designed survey was conducted to collect the necessary primary data from sixteen sample villages of West Bengal, India. The scientific design of the survey and data collection procedure is maintained. Moreover, geospatial techniques are used to examine the land use and land cover patterns of the study areas. The econometric models are estimated to inspect the role of agriculture-livestock-forest nexus and household characteristics on household level income diversification and the reduction of poverty. RESULTS AND CONCLUSIONSOur analysis reveals that a significant number of the sample households depend on agriculture, livestock and forestry to maintain their livelihoods. The reverse migration of workforce has created additional pressure on these activities. This is mainly due to non-availability of other non-farm employment opportunities locally. The analysis of econometric models shows that while engagement in different activities of the primary sector makes income diversified, it is more so when the households possess necessary technologies, skills and financial supports. All of these are crucial given that income diversification helps households to overcome of poverty. SIGNIFICANCEThe intricate web of the agriculture-livestock-forestry nexus serves as a critical source of livelihood for a substantial number of households, yet the challenges and opportunities it presents necessitate targeted policy interventions. Enabling technology transfer, fostering skill development, and extending financial support emerge as key measures to diversify rural livelihoods, thereby fostering sustainable rural development and poverty reduction in the post-pandemic landscape. The integration of socioeconomic data and geospatial satellite information offers an invaluable basis for formulating effective policy strategies in this evolving era.

Does the closure of polluting enterprises improve rural livelihoods? Evidence from rural China

AbstractIn response to an increasingly dire pollution scenario, the Chinese government initiated the largest and most extensive environmental inspection campaign in history starting in 2016. Numerous polluting enterprises were closed due to environmental concerns in the rural areas. Drawing on two‐period panel data from the China Rural Development Survey, this study revealed the inherent mechanism of the polluting enterprises closure on local rural livelihoods using the difference‐in‐differences method and structural equation model, with reference to the sustainable livelihood framework. Results showed that shuttering polluting enterprises enhanced rural households' livelihood capital, notably in human, natural, and physical aspects, and promoted labor migration. Additional heterogeneous analysis revealed that the enhancements were notably more pronounced in Southern China and among affluent demographics. Based on the findings, we suggested the local government should support the development of sustainable agriculture and green industries and pay more attention to vulnerable populations when making policy decisions. The use of mandatory directives, such as shutting down polluting enterprises, is a common strategy in developing countries. This study presents an analytical framework for understanding the impact of environmental governance on the livelihoods of rural households in developing countries, contributing to a better balance between rural environmental management and livelihood improvement in these regions.

Examining the links between household livelihood resilience and vulnerability: disaster resettlement experience from rural China

Livelihood status of rural households is the focus of disaster resettlement research. Influenced by various factors, rural households face multiple environmental and social pressures after relocation, and the study of livelihood resilience and vulnerability provides a new framework for research into the livelihoods of relocated households. There has been a call for more quantitative evidence about the links between livelihood resilience and livelihood vulnerability in the context of disaster resettlement. This study uses data from a sample of 657 individuals from the relocation area of Ankang prefecture in southern Shaanxi, China. The resilience of rural household livelihood systems is quantified in terms of two dimensions of general resilience and specific resilience using the spatial vector method from systems engineering. The IPCC framework was used to measure three dimensions of livelihood vulnerability: exposure, sensitivity, and adaptability, and a threshold regression model was applied to investigate the impacts of livelihood resilience on livelihood vulnerability. Results show that: (i) livelihood vulnerability of relocated households (−0.042) was significantly lower than that of local households (0.091), while relocated households in the process of livelihood reconstruction had a certain degree of vulnerability risk. (ii) there is a significant threshold effect of livelihood resilience on livelihood vulnerability of rural households. (iii) increasing livelihood resilience significantly reduced the degree of vulnerability of rural households, and the marginal effect of general resilience on livelihood vulnerability shows a decreasing trend. Specific resilience has a positive influence on livelihood vulnerability before it exceeds the threshold, but the effect disappears above the threshold of resilience. (iv) The threshold value of livelihood resilience of local households (0.5039) is generally lower than that of relocated households (0.6548), and relocation does improve the ability of rural households to resist uncertainty risks. It is necessary for local governments to formulate more targeted policies to reduce the livelihood vulnerability of rural households and thereby promote sustainable livelihood development.

Rural households' livelihood adaptation strategies in the face of changing climate: A case study from Pakistan

Rural and agricultural communities' adaptation to climate change has gained significant attention owing to many countries' vulnerability to climate change risks. A similar trend has been witnessed in South Asia, a highly climate-vulnerable region, where research has grown dramatically considering the agriculture sector's vulnerability to climate-induced disasters. However, little attention has been paid to the adaptation of the livelihoods of rural households. This research, therefore, takes the case of Pakistan to explore livelihood adaptation strategies of rural households to climate change and investigate the factors that expedite or halt the adoption of livelihood diversification strategies. A multistage sampling design is used in this research, where 480 rural households from the Punjab province of Pakistan were selected and interviewed using stratified and random sampling approaches. A multivariate probit (MVP) regression model is employed to analyze the factors affecting households' adoption of livelihood adaptation strategies. The results show that besides adaptation of agronomic operations (agricultural adaptation strategies), rural households in the study area employed a wide range of strategies to adapt their livelihoods to climate change. These strategies include poultry and livestock farming, value addition of farm produce, trading of animals and farm commodities, small businesses (shops, etc.), daily wage labor, horticultural crop farming, and non-farming jobs. The estimates of the MVP model revealed that respondents' education, household size, income, access to a credit facility, access to farm advisory services, and access to climate forecasts have significantly influenced the choice of livelihood adaptation strategies. Based on these findings, this research recommends that the authorities should make efforts to improve farmers' understanding of the adaptation of climate change risks and educate them to adopt multiple livelihood options to improve the resilience of their livelihoods to climate-induced risks. This research has important policy implications for other countries with similar socio-economic features.

Edible indigenous fruit trees and shrubs in Tigray, Ethiopia

Edible indigenous fruit trees and shrubs (IFTS) serve as crucial sources of supplementary food and essential nutrients, income/cash, traditional medicine, and various other uses for local communities in Tigray, Ethiopia. However, there is limited documentation on IFTS contributions, production potential, and nutritional compositions. The primary aim of this study was to analyse the production potential, nutritional compositions, and overall contributions of IFTS to rural households. Data were gathered through structured and semi-structured questionnaires from 55 key informants, 15 vendors, and 30 consumers. Nutrient analyses were conducted using triplicate samples following the basic procedures of the Association of Official Analytical Chemists. This study has identified and documented 44 IFTS species. These edible fruits from trees and shrubs are available throughout the year, with peak seasons varying across agroecological zones. Specifically, the lowland, midland, and highland experienced peak fruit availability in November, May, and June, respectively. Fruit yields exhibited significant variation among agroecological zones (P = 0.001), and among growth stages (P < 0.001) within each agroecological zone. Further laboratory analysis revealed that edible IFTS are rich in carbohydrates, crude fiber, crude protein, crude fat, iron (Fe) and zinc (Zn) contents. These nutritional attributes underline the importance of integrating indigenous fruits into the diets of rural and urban households. In conclusion, this research highlights the significant roles played by edible IFTS in the livelihoods of rural households in Tigray, Ethiopia. It also suggests the need for their recognition, conservation, domestication and restoration to enhance food security, income generation, climate adaptation and overall well-being in these communities and beyond.

Phylogenetic Analysis of Newcastle Disease Virus Isolated from Poultry in Live Bird Markets and Wild Waterfowl in Zambia.

Poultry production is essential to the economy and livelihood of many rural Zambian households. However, the industry is threatened by infectious diseases, particularly Newcastle disease virus (NDV) infection. Therefore, this study employed next-generation sequencing to characterise six NDV isolates from poultry in Zambia's live bird markets (LBMs) and wild waterfowl. Four NDV isolates were detected from 410 faecal samples collected from chickens in LBMs in Lusaka and two from 2851 wild birds from Lochinvar National Park. Phylogenetic analysis revealed that the four NDVs from LBM clustered in genotype VII and sub-genotype VII.2 were closely related to viruses previously isolated in Zambia and other Southern African countries, suggesting possible local and regional transboundary circulation of the virus. In contrast, the two isolates from wild birds belonged to class I viruses, genotype 1, and were closely related to isolates from Europe and Asia, suggesting the possible introduction of these viruses from Eurasia, likely through wild bird migration. The fusion gene cleavage site motif for all LBM-associated isolates was 112RRQKR|F117, indicating that the viruses are virulent, while the isolates from wild waterfowl had the typical 112ERQER|L117 avirulent motif. This study demonstrates the circulation of virulent NDV strains in LBMs and has, for the first time, characterised NDV from wild birds in Zambia. The study further provides the first whole genomes of NDV sub-genotype VII.2 and genotype 1 from Zambia and stresses the importance of surveillance and molecular analysis for monitoring the circulation of NDV genotypes and viral evolution.

Identification of influential weather parameters and seasonal drought prediction in Bangladesh using machine learning algorithm

Droughts pose a severe environmental risk in countries that rely heavily on agriculture, resulting in heightened levels of concern regarding food security and livelihood enhancement. Bangladesh is highly susceptible to environmental hazards, with droughts further exacerbating the precarious situation for its 170 million inhabitants. Therefore, we are endeavouring to highlight the identification of the relative importance of climatic attributes and the estimation of the seasonal intensity and frequency of droughts in Bangladesh. With a period of forty years (1981–2020) of weather data, sophisticated machine learning (ML) methods were employed to classify 35 agroclimatic regions into dry or wet conditions using nine weather parameters, as determined by the Standardized Precipitation Evapotranspiration Index (SPEI). Out of 24 ML algorithms, the four best ML methods, ranger, bagEarth, support vector machine, and random forest (RF) have been identified for the prediction of multi-scale drought indices. The RF classifier and the Boruta algorithms shows that water balance, precipitation, maximum and minimum temperature have a higher influence on drought intensity and occurrence across Bangladesh. The trend of spatio-temporal analysis indicates, drought intensity has decreased over time, but return time has increased. There was significant variation in changing the spatial nature of drought intensity. Spatially, the drought intensity shifted from the northern to central and southern zones of Bangladesh, which had an adverse impact on crop production and the livelihood of rural and urban households. So, this precise study has important implications for the understanding of drought prediction and how to best mitigate its impacts. Additionally, the study emphasizes the need for better collaboration between relevant stakeholders, such as policymakers, researchers, communities, and local actors, to develop effective adaptation strategies and increase monitoring of weather conditions for the meticulous management of droughts in Bangladesh.

Assessment of Socio-economic Characteristics of Ruminant Livestock Producers in Ushongo Local Government Area of Benue State, Nigeria

The study assessed the socio-economic and effects of livestock production on the livelihood of rural households in Ushongo Local Government area of Benue State, Nigeria. Does not tally with the title above. Multi-stage sampling procedure was used to sample respondents for the study, data was collected using structural questionnaire administered to the respondents. Data was collected from 120 respondents as the population for the study. It was evident from the study that the age category 31-40 years (37.50%) were more actively involved in ruminant production and majority (53.33%) were found to be males while majority (72.50%) were married. Most of the respondents (57.50%) were found to be farmers and majority (45.00%) attained secondary education with 60.83% of them with household size of 6-10 members. Majority (39.17%) have 11-20 ruminants, their membership of formal organization was found to be 75.83% while 99.17% of them produce goats, most of them (58.33%) had annual income of 0-100,000 naira and have low access to production technologies (51.67%). Majority (51.70%) farming experience of 6-10 years. The study concluded that some socio-economic characteristics have significant effects on ruminants’ production on the respondents in the study area (This was not measured). It was recommended that: government through extension agents educate ruminants farmers on modern production technologies; ruminant production farmers should be accessed formal credit in form of loans by government and commercial banks for effective production; ruminant production farmers should also pool their financial resource to enable them remain in production; and ruminant production farmers should engage in formal association to gain more knowledge based on the interaction with others.

Sustainability Practices and Financial Performance of Coffee Producers in Nueva Vizcaya

Coffee is one of the largest traded agricultural commodities in the world. Its production is an important component of the overall economy and is essential to the livelihoods of rural households in the developing countries. This study aimed to determine the extent of sustainability practices and financial performance of seven coffee producers from Nueva Vizcaya in different municipalities. The proponents used a structured questionnaire in gathering the data using descriptive correlational and financial performance analysis. The data was analyzed using the following statistical tools: Mean, Standard Deviation, Financial Profitability Ratio, Spearman Rho, and Thematic Analysis using IBM SPSS version 25. Findings reveal that, coffee producers are generally implementing sustainable practices in their operations, and they are achieving good financial performance, as evidenced by their average ROA, ROE, and ROS ratios. These shows a commendable balance between profitability and sustainability efforts. However, it is also revealed that there is no significant relationship between the variables, and a weak negative correlation between them is discovered. Moreover, most of the respondents are confident in their ability to ensure long-term sustainability as they continuously seek for growth and improvement in their efficiency and profitability. For further findings, the researchers recommend that coffee producers continue to implement sustainability practices, and for future researchers to include liquidity and solvency ratios to provide a more comprehensive assessment of financial health.

Impact of adoption of better management practices and nutrition-sensitive training on the productivity, livelihoods and food security of small-scale aquaculture producers in Myanmar

Small-scale aquaculture is a major source of food in Myanmar. Beyond its importance for food security and nutrition, small-scale aquaculture contributes to the livelihoods of many rural households and is a potentially valuable strategy for rural development. However, small-scale aquaculture producers have limited access to improved production technologies and information, which hampers the productivity and socioeconomic performance of small-scale aquaculture systems. In this study we assessed the impact of the adoption of better management practices and exposure to nutrition-sensitive training by 379 small-scale aquaculture producers in the Sagaing and Shan regions of Myanmar. We focused on whether and how the exposure to these interventions affected household food security through improvements in productivity and livelihoods. We used Propensity Score Matching to compare the performance of groups that were exposed to the intervention for one or two years, for seven impact variables. Exposure to the intervention had a positive effect for most impact variables, with differentiated effects among variables, group comparisons and regions. In terms of food security, beneficiaries had significantly higher dietary diversity (measured as the Food Consumption Score, FCS), but there were no significant differences for fish self-consumption (measured in kg/week). Longer exposure to the interventions produced significantly higher positive effects across most impact variables for the 2-year beneficiaries compared to 1-year beneficiaries and control groups. Our study suggests that the length of exposure to such interventions can be important in mediating the actual impact of small-scale aquaculture systems on household food security and livelihoods. Sustained help to small-scale producers should be considered in initiatives and development projects seeking to enhance the food security and rural development of small-scale aquaculture systems in Myanmar, and beyond.

The role of social capital in shaping livelihood for rural Vietnamese households.

This study explores the role of social capital in the livelihoods of rural households in Vietnam, examining both direct and indirect impacts. The author uses a revised sustainable livelihood framework to analyze social capital, focusing on bonding-bridging and linking forms. The study applies quantitative methods to a secondary dataset from a rural household survey, including entropy-weighted indicators, cluster analysis, and SEM models. The findings suggest that social capital has complex and significant impacts on household livelihood strategies. Bridging and linking social capital promotes non-agricultural and wage-based strategies, while bonding social capital drives transfer-based strategies. The study highlights the importance of social capital as a complementary resource to other livelihood capitals, such as financial, human, and physical capital. These results have important implications for policy implementation aimed at supporting rural households and their livelihoods, especially regarding social capital's interaction with other livelihood capitals. By understanding the complex relationship between social capital, other livelihood capitals and livelihood strategies, policymakers can design more effective policies that harness the potential of social connections to support rural households.

Effect of Rapid Urban Housing Expansion on On-Farm Activities of Rural Household Livelihoods in Simat/Kapseret Ward, Kenya

The study focused on examining how an increase in urban housing expansion affects livelihoods of rural households. The study objective was to determine the effect of urban housing expansion on on-farm activities of households in Kapseret/Simat ward, Kenya. A sample of 164 households was selected from a target population of 13610 households. A systematic random sampling technique was used to obtain the population of the study. A household survey questionnaire and an interview guide were used as tools for data collection taking a mixed methods research design. Quantitative data was analyzed using descriptive methods in form of frequencies, means and deviation. Inferential statistics specifically Chi square was used to test the hypotheses in terms of the strength and direction of the independent and dependent variables. Qualitative data was analyzed thematically and triangulated into the quantitative data of the study. Quantitative study findings indicated that there was a statistical significant relationship between urban housing expansion and on-farm activities of rural households (p=0.000). The qualitative study findings indicated that there was a shift from on-farm to off-farm livelihood activities of rural households. The study concluded that as land value and land sales increased, there was a higher likelihood for demand for land to facilitate the urban housing developments and ultimately housing expansion within the area of study. The study concluded that there was a significant statistical effect of urban housing expansion on rural household livelihoods.

Climatic extremes’ resilient livelihoods of rural households in the Eastern Ethiopia

Climate change is affirmed as a major challenge to global food security in the twenty-first century and a threat to availability of adequate food for the population. This study was conducted to analyze rural households’ vulnerability to climatic extremes, and their resilience capacities in the eastern Ethiopia. The study employed both quantitative and qualitative methods of data, and analysis to achieve the objectives. While 397 sample households were randomly selected for household survey, key informants and focus group discussion participants were purposively selected. To analyze the quantitative data, both descriptive and inferential statistics were employed while thematic content analysis was employed to analyze the qualitative data. Rainfall variability, increase in local temperature, frequent drought, irregularity in rainfall, and pest infestation were identified as the key climatic extremes in the study area. The findings of the study asserted that rural local households in the study area have very high vulnerability to climatic extremes underpinned by their dependence on rain-fed farming. Reduction in crop yield (93%), and decline in production and productivity of livestock (91%) were confirmed as the major impacts of climatic extremes in the study area. Contrary to very high vulnerability to climatic vulnerability, local farming households’ resilience capacities were confirmed to be very poor. Moreover, the overall resilience capacity index was 0.44, which is below the minimum threshold and underpinned by low absorptive (0.45), low adaptive (0.47), and low transformative (0.4) capacity of farmers. Furthermore, the indexes derived from the five resilience building blocks imply that the level of household resilience is still poor (0.47). The very high vulnerability to extreme climate conditions and the very low livelihood resilience of rural farmers requires integrated strategies to reduce vulnerability and enhance livelihood resilience by governmental and non-governmental organizations. More importantly, it is worth to initiate rural livelihoods diversification and sustainable natural resource conservation, and management strategies. Above all, it is worth to integrate climate-resilient social protection programs into rural poverty reduction policies at national, regional, and local levels to reduce vulnerability, and enhance resilience of rural households in the study area.

Forest products monetary contribution to households’ income: A means to improve the livelihood of a low-income rural community in South Ethiopia

Forest products and forest-based activities in Ethiopia play a substantial economic contribution to the livelihoods of rural households. Despite its pivotal role, empirical data are inadequate on forests' monetary contribution across a range of ecological locations and social situation, particularly for rural agrarian communities of the developing nations, like Ethiopia. We estimated the economic contributions of forest products and forest-based activities to forest-dependent rural households’ income and highlighted key socioeconomic characteristics in Wolaita, Ethiopia. We collected demographic, socioeconomic, and forest use data using a semi-structured questionnaire survey of 384 households, and surveyed markets to determine the prices of forest products for the valuation of forest use in three districts. We used descriptive statistics, the Chi-square test, the two-sample t-test, and one-way ANOVA to analyze the data. Findings showed that all respondents were engaged in one way or another in forest-based activities, while 84.6 % were involved in farming. The annual average income from forest products was 252.7US per household, contributing to 28.1 % of the total yearly average income (989.4US$), and 38.3 % relative forest income (RFI). Annual mean household income from crops was 648.1US$. Average annual household income from grazing, charcoal, firewood, woodcutting, cut-and-carry, NTFP, seed selling, medicinal plants, and seedling selling was 77.3 %, 58.4 %, 50.2 %, 24.1 %, 18.5 %, 12.7 %, 7.1 %, 6.8 % and 5.4 % of the total annual mean income, respectively revealing a significant difference (p < 0.05). Family size, farmland size, distance to the forest, and occupation were the determinants of the contribution of forest products to household income. In general, poor households derive the highest relative forest income implying high dependence of the poorer on forest resources in the study area. The findings provide useful information for developing sustainable forest management policies and strategies to enhance the economic and ecological benefits of forests, and highlight the need for funding projects to pay attention to the specific household variables that affect forest use. Mainstreaming conservation activities in development sectors and integrating development and conservation projects may improve the livelihood of the low-income family in the region.