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The 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. This 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. The 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. Our 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. The 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. [Display omitted] • Examines the agriculture-livestock-forest nexus and its impact on income diversification during the post-COVID period. • Analysing resource use and livelihoods with primary data, geospatial and econometric methods. • Technology transfer, skill development, and financial aid boost rural income diversification. • Socio-economic and satellite data integration aids in crafting impactful policies. [ABSTRACT FROM AUTHOR]

Land is a limited resource that provides food and cooking fuel to the rural population. In this paper, we determine the land required for food production and compare it with the land required for cooking fuel (i.e. fuelwood) for six different regions of India. We use regional data to assess the land requirements for both food and fuelwood. Dietary patterns and agricultural yields are the major drivers of land demand for food production. The average land requirement for food is about 1000 m2/cap/yr, but the values range between 800-1300 m2/cap/yr. The greatest proportion of this land requirement is for cereals, especially rice and wheat. Determining the land needed for cooking fuel requires biomass productivity and fuelwood use. We found that the average land requirement for fuelwood is about 3 to 7 times larger than the area required to produce food. Thus, there is a wide disparity in land demand between all the regions of India. Dietary change is not an option as rural inhabitants are already consuming less than their urban counterparts. Changes to cooking fuels could be another option. This comparative study shows the high demand for land for cooking fuel in comparison to food. It implies that, from a land requirement perspective, reducing the fuelwood consumption and shifting to a more efficient cooking fuel would be a better option. • Land required for food and fuelwood in rural India was studied. • Large regional variations in food consumption and cooking fuel use were found. • Land requirement for food is about 1000 m2/cap/yr. • Land required for fuelwood was seven times as higher than land required for food. • This study is typical for rural areas in developing nations comprising three billion people. [ABSTRACT FROM AUTHOR]