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The paper contributes to the growing literature highlighting the significance of assessing risk and vulnerability, micro-level perceptions and adaptation decision-making in building resilience of farm communities to climate change in dryland region of India. To select a region for grassroots enquiry, spatial differential in risk to climate change was assessed in Rajasthan, using IPCC AR5 framework. Among the highly vulnerable and risky districts, Bikaner district was selected for elicitation of micro-level imperatives. Rising atmospheric temperature, inter-seasonal displacements of rainfall and recurrence of extreme events were perceived by the farmers resulting in resource degradation, production risks and erosion of households' socio-economic dynamics. As risk preventive measures, suitable adjustment in agricultural practices, natural resource management, shift to off-farm activities and other relief measures were adopted by the farmers. Farmer's choice of adaptation was influenced by several climatic, socio-economic and infrastructural & institutional factors in varying degree. Moreover, several financial, economic, infrastructural and informational bottlenecks to adaptations were reported during household survey and FGDs. The results suggest that capturing grassroots evidence is crucial for directing locally tailored adaptation strategies, along with the improving deficiencies in the developmental pathways for climate-resilient agriculture. [ABSTRACT FROM AUTHOR]

Globally, agriculture is recognized as a highly vulnerable sector to climate change and risks from climatic aberrations pose an imminent danger to the food security and sustainability of livelihoods. To bring robustness in climate adaptation planning, evaluation of resilience across homogenous regions is essential for developing and scaling suitable location-need-context specific interventions and policies that build the resilience of the agricultural system. In this paper, we present an analysis and discussion of multi-scalar and multi-indicator assessment, by profiling resilience across agro-climatic zones of India, based on the development of a Climate-Resilient Agriculture Index embracing environmental, technological, socio-economic, and institutional and infrastructural dimension. A total of 26 indicators, spread across these four dimensions, were employed to purport inter- and intra-agro-climatic zone differentials in the level of resilience. Among the zones, it was found that West Coast Plains & Ghats and Tans-Gangetic Plains had the highest degree of resilience to manage climate risks. Most of the districts lying within Eastern Himalayan Region, Middle Gangetic Plains, Eastern Plateau & Hills, and Western Dry Region had a lower degree of resilience. The study places greater emphasis on deciphering region-specific drivers and barriers to resilience at a further disaggregated scale for improving rural well-beings. It is construed that devising action plans emphasizing awareness, preservation of natural resources, diversification, building physical infrastructure, strengthening of grass-root institutions, and mainstreaming climate adaptation in the developmental policy is crucial for climate-resilient pathways. [ABSTRACT FROM AUTHOR]

Climate change poses major challenges to agricultural systems in drought prone regions of the world especially in the areas with high poverty, lack of irrigation facilities and low productivity. Towards this it is essential to understand the climate change perceptions, adaptation practices and barriers to effective adaptation at household and community level. This paper using household surveys and focus group discussions in one of the drought prone areas of Odisha in India, explores various aspects of perception on climate change and barriers to adaptation. It also analyses the accuracy of perceptions based on rainfall data from nearest meteorological stations. The study reinforces the argument by earlier studies that the perception by people simply cannot be wrong because they may have a just a low correlation with underlying meteorological data. Results suggest that farmers increasingly perceive the changes in the rainfall and temperature patterns. However, when compared with the trend in actual rainfall data, perceptions on rainfall are found to more closely align with the results from the nearest station as compared to the station farther from it. Analysis revealed that seasonal rainfall variability has a profound influence on the farmers' perceptions on climate change and drought in the study region. Farmers' are still dependent on the traditional forecasting system because of the lack of access to modern climate forecasting and tailored information for agricultural practice. Although farmers in the study region are already adapting to the changing climate, the study finds that while lack of access to water and irrigation, information on climate change adaptation and early warning systems are major barriers to adaptation at the household level lack of government intervention, lack of knowledge on drought resistant crops and varieties and lack of renovation of water bodies and irrigation were mentioned as the major barriers at the community level. Findings from the paper argue for better adaptation planning at the local level incorporating local level perceptions and barriers to adaptation. In such areas local level planning can be crucial in enhancing the adaptive capacity of the farmers. [ABSTRACT FROM AUTHOR]

We investigate the extent to which climate change will result in insurable and uninsurable losses for farmers in India. Changes in temperature and precipitation patterns may increase the volatility of farmers' yields, leading to rising but insurable risk. These changes may also reduce the expected yield in an 'average year', causing uninsurable reductions in the returns to farming. We use a multi-run climate model to predict the future distribution of potential yields at the district level for sixteen major crops. For the average district, we project a sharp decline in expected agricultural revenue, but small shifts in volatility. This is because weather draws resulting in extremely low agricultural returns—what had once been 1-in-100-year events—are predicted to become the norm by the end of the century. Our projections therefore imply substantial uninsurable losses from the changing climate for Indian farmers. [ABSTRACT FROM AUTHOR]

The rapidly changing climatic conditions are adversely impacting the Indian agricultural sector. Farmers are frequently seen adopting several adaptation measures, which are neither equally efficient nor mutually exclusive. Based on the primary data collected from 300 farming households of the Indian Eastern Himalayan foothills, the present study attempts to examine the efficiency of local farmers' adaptation by developing indices combining the feasibility, effectiveness, and sustainability of the adaptation measures with the scale of actual adoption. Further, by employing multiple linear regression, the study analyzes the internal (psychological) and external (physical and socio-economic) factors influencing higher scores of these indices. Results show that local farmers are well aware of climate change and are responding through implementing at least one and up to seven adaptation measures. Farmers preferred agroforestry, a shift from cereals to low water-intensive commercials, irrigation, and intensification of winter crops as the most efficient. There was, however, a misalignment between the perceived efficiency of adaptation measures and their scale of adoption. Farmers' perceptions of pest infestation, satisfaction with farming, soil characteristics, farm size, remittances, and access to credit were found to be positively and significantly influencing the adaptation indices, while open-mindedness toward changing farming practices and crop-raiding by elephants were found to be negatively and significantly associated with adaptation indices. Lastly, the study made relevant recommendations for improving farmers' efficiency in adopting appropriate adaptation measures and strengthening the "State Action Plan on Climate Change". [ABSTRACT FROM AUTHOR]