Browsing by Author "Ankit Yadav"

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Climate change and its effects on maize yield in Nepal: An empirical analysis using the ARDL model
(Association of Agrometeorologists, 2025) Aashma Aryal; Abha Goyal; Ankit Yadav; Bharath Kumar Mannepalli; Prakhar Deep; Virendra Kamalvanshi; Saket Kushwaha
This study analyzes the impact of climate change on maize yield in Nepal’s Gulmi (hilly) and Rupandehi (Terai) districts using climatic data from 1981 to 2023 on rainfall, relative humidity, maximum temperature, and minimum temperature applying the Autoregressive Distributed Lag (ARDL) model. The findings obtained ARDL model shows that rainfall positively influences yield in both regions. Relative humidity has a positive long-term effect in Gulmi but a negative impact in Rupandehi. Maximum temperature increases yield in Gulmi but significantly reduces it in Rupandehi, indicating regional sensitivity. Minimum temperature negatively affects Gulmi yields but has a negligible positive effect in Rupandehi. The ARDL models demonstrate strong explanatory power, with adjusted R² values of 0.86 (Gulmi) and 0.80 (Rupandehi), confirming a significant long-term relationship between climate variables and yield. Error correction terms suggest that 28% (Gulmi) and 30% (Rupandehi) of short-term yield deviations adjust back to long-run equilibrium annually. These results highlight the importance of localized climate adaptation strategies in agriculture. © 2025, Association of Agrometeorologists. All rights reserved.
Exploring Economic Perspectives in Ornamental Fish Farming in India: Present Status, Opportunities, and Threats
(Springer Science+Business Media, 2025) Avdhesh Sharma; Ankit Yadav; Swati Suman; Debasmita Baruah; Debashish Kumar; Shubhi Patel; Chetan Kumar Garg
The emerging sector of ornamental fish farming in India is a viable route for both economic growth and biodiversity preservation. This chapter examines the current situation, challenges, and future prospects in this industry. India has a large biodiversity and a climate that is ideal for fish farming, but it exports very little ornamental fish to the international market. Barriers to the sector’s potential growth include a lack of infrastructure, regulatory uncertainties, and disorganized value chain. Nonetheless, there are other opportunities for expansion, including support from regulators, market diversification, infrastructure spending, capacity creation, and adoption of new technologies. The study highlights the ways in which ornamental fish farming aids in the advancement of science, economic growth, establishment of livelihoods, preservation of biodiversity, and tourism. It concludes with actionable suggestions on how government organizations, academic institutions, and business troupes may work together to realize the sector’s full potential and promote long-term, sustainable growth. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
The adaptation triangle: a multivariate analysis of vulnerability, resilience and livelihood strategies in semi-arid regions of India
(Frontiers Media SA, 2025) Bharath Kumar Mannepalli; Saket Kushwaha; Virendra Kamalvanshi; Pradip Kumar Parida; Evans Kemboi; Ankit Yadav; Prakhar Deep; Reshmi Mukherjee
India’s semi-arid regions covering 37% of is geographical area were among the most climate-vulnerable ecosystems globally characterized by erratic rainfall, intense heat and fragile livelihoods. Despite extensive research, few studies have comprehensively investigated household vulnerability, resilience and their interplay in these dry regions. This study formulates the “adaptation triangle” framework to examine the interlinkages among livelihood strategies, vulnerability and resilience. Employing a multistage stratified random sampling methodology, primary data was collected from 375 households in Rajasthan, Telangana and Tamil Nadu, encompassing 69 socioeconomic, environmental and institutional factors. Composite indices for household livelihood vulnerability (HLVI) and resilience (HRI) were constructed in accordance with IPCC and FAO guidelines. Multivariate linear regression was employed to investigate the influence of 13 livelihood strategies on HLVI and HRI, while multinomial logistic regression evaluated their effect on household transitions within the vulnerability-resilience matrix’s four quadrants. National-level data indicates moderate vulnerability (HLVI = 0.517) and low resilience (HRI = 0.489) with 37.07% of households categorized in the most at-risk high vulnerability-low resilience (HVLR) quadrant. Key adaptive strategies such as income diversification, rainwater harvesting, adjusting sowing dates and adoption of crop and livestock insurance were found to substantially reduce vulnerability and enhance resilience. Households dependent on casual labor face heightened climate risk was also found to be significant. This study reinforces that livelihood choices are not only survival responses but pivotal levers in shaping climate adaptation outcomes. Policy recommendations include promoting diversified and climate-resilient livelihoods, expanding social safety nets, scaling up insurance access, microfinances and investing in water harvesting and agro-ecological infrastructure. The adaptation triangle framework provides a valuable lens to inform targeted interventions and build long-term resilience among vulnerable populations in India’s semi-arid regions. © © 2025 Mannepalli, Kushwaha, Kamalvanshi, Parida, Kemboi, Yadav, Deep and Mukherjee.