Assessment on vulnerability of sorghum to climate change in India

Srivastava, Aditi; Kumar, Soora Naresh; Aggarwal, Pramila

doi:10.1016/j.agee.2010.04.012

Cited by 112 publications

(68 citation statements)

References 35 publications

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“…Liu et al 2013;Srivastava et al 2010) considers the sensitivity of crop production to climatic shocks. The methodological approaches of this stream include statistical and multi-criteria analysis of AE indicators; -The economic assessments of the agricultural sector analyse the effects of climate change on its economic performance (e.g.…”

Section: Introductionmentioning

confidence: 99%

Assessing agricultural systems vulnerability to climate change to inform adaptation planning: an application in Khorezm, Uzbekistan

Aleksandrova

Gain

Giupponi

2015

Mitig Adapt Strateg Glob Change

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Agriculture is one of the most vulnerable sectors to climate change. The current vulnerability assessments through traditional fragmented sectoral methods are insufficient to capture the effects on complex agricultural systems. Therefore, the traditional methods need to be replaced by integrated approaches. The objective of this study is to propose a holistic vulnerability assessment method for agricultural systems. By aggregating both agro-ecological and socio-economic information, we develop an agricultural systems vulnerability index (ASVI) which allows for: (i) a classification of geographical units according to their vulnerability level; (ii) an identification of key determinants of vulnerability for each unit; (iii) an assessment of adaptation policy scenarios considering their effects on the sustainability of the analysed systems. The proposed method is applied in the Khorezm region of Uzbekistan -a representative irrigated agricultural region in the Lower Amu Darya river basin. A decision support tool is used to facilitate multi-criteria decision analysis, including the computation of the index and performing sensitivity analysis of the results. The assessment for Khorezm reveals significant spatial differences of vulnerability levels due to a variation of contributing factors, e.g. natural resources, water productivity, rural-urban ratio. It reveals also that feasible land and water management policies could reduce the vulnerability in Khorezm, particularly in the districts with the poorest agro-ecological conditions. Overall, the proposed method could support national and local authorities in the identification of sustainable adaptation policies for the agriculture sector.

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Section: Introductionmentioning

confidence: 99%

Assessing agricultural systems vulnerability to climate change to inform adaptation planning: an application in Khorezm, Uzbekistan

Aleksandrova

Gain

Giupponi

2015

Mitig Adapt Strateg Glob Change

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“…Recent observations of total rainfall amounts during the monsoon period indicate a decline in the last few decades (Bollasina, Ming, and Ramaswamy 2011;Srivastava, Naresh Kumar, and Aggarwal 2010;Turner and Annamalai 2012;Wang et al 2011). While the observed decline is inconsistent with the projected effects of global warming, there are indications that the decline could be (at least in part) due to the effects of black carbon and other anthropogenic aerosols (Bollasina, Ming, and Ramaswamy 2011;Turner and Annamalai 2012).…”

Section: Monsoonmentioning

confidence: 99%

Climatic risks and impacts in South Asia: extremes of water scarcity and excess

et al. 2016

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“…As opposed to the socioeconomic approach, this focuses on the 'end point'. In the context of crop production, this involves simulating or modelling how crop yields change under conditions that characterize climate variability or climate change [13][14][15][16][17] .…”

Section: Biophysical Approachmentioning

confidence: 99%

A District Level Assessment of Vulnerability of Indian Agriculture to Climate Change

et al. 2016

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Assessing vulnerability to climate change and variability is an important first step in evolving appropriate adaptation strategies to changing climate. Such an analysis also helps in targeting adaptation investments, specific to more vulnerable regions. Adopting the definition of vulnerability given by IPCC, vulnerability was assessed for 572 rural districts of India. Thirty eight indicators reflecting sensitivity, adaptive capacity and exposure were chosen to construct the composite vulnerability index. Climate projections of the PRECIS model for A1B scenario for the period 2021-2050 were considered to capture the future climate. The data on these indicators were normalized based on the nature of relationship. They were then combined into three indices for sensitivity, exposure and adaptive capacity, which were then averaged with weights given by experts, to obtain the relative vulnerability index. Based on the index, all the districts were divided into five categories with equal number of districts. One more district was added to 'very high' and 'high' categories. The analysis showed that districts with higher levels of vulnerability are located in the western and peninsular India. It is also observed that the highly fertile Indo-Gangetic Plains are relatively more sensitive, but less vulnerable because of higher adaptive capacity and lower exposure.

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Assessment on vulnerability of sorghum to climate change in India

Cited by 112 publications

References 35 publications

Assessing agricultural systems vulnerability to climate change to inform adaptation planning: an application in Khorezm, Uzbekistan

Assessing agricultural systems vulnerability to climate change to inform adaptation planning: an application in Khorezm, Uzbekistan

Climatic risks and impacts in South Asia: extremes of water scarcity and excess

A District Level Assessment of Vulnerability of Indian Agriculture to Climate Change

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