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Abstract People residing in the char regions of Assam are among the most vulnerable in the state, and particularly susceptible to multiple disasters such as floods, storms, and land erosion. Despite the existing vulnerabilities and widespread poverty, people continue to live in these areas. Our research aims to investigate why people continue to reside in these areas in such conditions and explore the feasibility of relocation as a possible solution to catastrophe risk mitigation, considering people's perceptions of living in these locations. This study uses a mixed method’s approach to achieve its objectives, based on primary data, collected through a household survey and focus group discussions. A total of 394 char residents from four districts of Assam participated in data collection. The Contingent Valuation Method (CVM) has been applied to understand residents' living preferences. Additionally, we used regression models to determine the factors influencing char residents' preference for living in these vulnerable areas. Our findings reveal that while most people prefer to live in the char areas, the risks of multiple disasters are driving some to consider leaving, exacerbated by infrastructure bottlenecks. However, char dwellers do not view relocation as a desirable solution. Alternatively, improving infrastructure and reducing disaster risks could lead to higher-levels of development and satisfaction for char residents.

The paper tries to analyze the impacts of erosion on the livelihood and vulnerability statusof the char dwellers of Assam, India. The study employs both quantitative and qualitative methodologies, choosing one district from each of Assam's agro-climatic zones across the Brahmaputra valley as a representative of the state's char regions. As a qualitative tool, the study uses the participatory rural appraisal (PRA) technique and as quantitative tool the study uses Vulnerability as Uninsured Exposure to Risk (VER) econometric model.394 char households were surveyed through a semi-structured schedule. For each village selected for the study, a combined social-resource map was created using the PRA method in order to determine the severity of the erosion issue in the char regions. The VER model is used to empirically examine the relationship between char land erosion and the well-being of char inhabitants. The study reveals that erosion of the char land has serious, detrimental impacts on the livelihood and economic well-being of the char residents and thereby make the char dwellers vulnerable. The study makes recommendations of both structural and non-structural adaptation practices to minimize the effects of erosion on char dwellers livelihood.

Mitigation of greenhouse gases (GHGs), improving nutrient-use efficiency (NUE), and maximizing yield in rainfed lowland rice cultivation poses significant challenges. To address this, a two-year field experiment (2020 and 2021) was conducted in Assam, India, to examine the impact of different fertilizer-management practices on grain yield, NUE, and GHGs in wet direct-seeded rice (Wet-DSR) during the kharif season. The experiment included eight treatments: control; farmer’s practice (30-18.4-36 kg N-P2O5-K2O ha−1); state recommended dose of fertilizer (RDF) @ 60-20-40 kg N-P2O5-K2O ha−1 with N applied in three splits @ 30-15-15 kg ha−1 as basal, at active tillering (AT), and panicle initiation (PI); best fertilizer management practices (BMPs): 60-20-40 kg N-P2O5-K2O ha−1 with N applied in three equal splits as basal, at AT, and PI; and fertilizer deep placement (FDP) of 120%, 100%, 80%, and 60% N combined with 100% PK of RDF. The experiment was arranged out in a randomized complete block design with three replications for each treatment. The highest grain yield (4933 kg ha−1) and straw yield (6520 kg ha−1) were achieved with the deep placement of 120% N + 100% PK of RDF. FDP with 80% N + 100% PK reduced 38% N2O emissions compared to AAU’s RDF and BMPs, where fertilizer was broadcasted. This is mainly due to the lower dose of nitrogen fertilizer and the application of fertilizer in a reduced zone of soil. When considering both productivity and environmental impact, applying 80% N with 100% PK through FDP was identified as the most effective practice.