A study on agricultural drought vulnerability at disaggregated level in a highly irrigated and intensely cropped state of India

Murthy, C. S.; Yadav, Manoj Kumar; Ahamed, J. Mohammed; Laxman, B.; Prawasi, Ravindra; Sai, M. V. R. Sesha; Hooda, R. S.

doi:10.1007/s10661-015-4296-x

Cited by 32 publications

(38 citation statements)

References 23 publications

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“…Adaptive Capacity is generally determined by the static parameters of the agro-region, i.e., parameters without intra-annual variation (Murthy et al, 2015a). In this case, the irrigable area, the aridity index and the groundwater table depth, were considered as static parameters.…”

Section: Adaptive Capacity Componentmentioning

confidence: 99%

“…Several approaches have been proposed to assess the agricultural vulnerability of a given region, namely based on vulnerability maps (Luers et al, 2003;O'Brien et al, 2004), composite index methods (Kim et al, 2015;Murthy et al, 2015bMurthy et al, , 2015aWiréhn et al, 2015;Jiang et al, 2012i) and Principal Component Analysis (PCA) (Li et al, 2006), among others. Conversely, Bogardi and Birkmann (2005) emphasize the need to address the components of Exposure, Sensitivity and Adaptability of https://doi.org/10.5194/nhess-2019-256 Preprint.…”

mentioning

confidence: 99%

“…Moreover, the PCA assumes that the significant information retained by the derived variables does not significantly change, which is a major advantage when working with observational data. Finally, to support and corroborate the PCA approach, a categorical methodology (Murthy et al, 2015a, b) was applied based on the same components used in the PCA. This paper is organized in 5 sections.…”

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confidence: 99%

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Crops' sensitivity and adaptive capacity to drought occurrence

Alonso

Gouveia

Russo

et al. 2019

Preprint

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Abstract. In the context of sustainable agricultural management, drought monitoring plays a crucial role assessing the vulnerability of agriculture to drought occurrence. Drought events are very frequent in the Iberian Peninsula (and in Portugal in particular) and an increase of frequency of these extreme events are expected in a very near future. Therefore, the quantitative assessment of the natural ecosystems vulnerability to drought is still very challenging, mainly due to the difficulties of having a common definition of vulnerability. Consequently, several methods have been proposed to assess agricultural vulnerability. In this work, a principal component analysis (PCA) was performed based on the components which characterize the Exposure, Sensitivity and Adaptative Capacity of the agricultural system to drought events with the aim of generating maps of vulnerability of agriculture to drought in Portugal. Several datasets were used to describe these components, namely drought indicators, vegetation indexes and soil characterization variables. A comparison between the PCA-based method and a subjective non-automatic categorical method using the same indicators was performed. Results show that both methods identify Minho and Alentejo as regions of low and extreme vulnerability, respectively. The results are very similar between the two methods, with small differences on certain vulnerability class. However, the PCA method has some advantages over the categorical method, namely the ability to identify the sign of the indicators, not having to use the indicator-component subjective relationship, nor calculating weights. Furthermore, the PCA method is fully statistical and presents results according to a prior knowledge of the region and the data used.

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Section: Adaptive Capacity Componentmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Crops' sensitivity and adaptive capacity to drought occurrence

Alonso

Gouveia

Russo

et al. 2019

Preprint

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“…The frequency and severity of extreme weather events have increased notably in recent decades (Field et al, 2012). Studies on climate variability and future projections indicate that weather extremes pose and will continue to pose a threat to agriculture (FAO, 2016), undermining food security and sustainable agriculture (Murthy et al, 2015b). Droughts may produce significant impacts on agriculture, namely through shortages in water supply, destruction of ecological resources and losses in agricultural production.…”

Section: Introductionmentioning

confidence: 99%

Crops' exposure, sensitivity and adaptive capacity to drought occurrence

Alonso

Gouveia

Russo

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Abstract. In the context of sustainable agricultural management, drought monitoring plays a crucial role in assessing the vulnerability of agriculture to drought occurrence. Drought events are very frequent in the Iberian Peninsula (and in Portugal in particular), and an increase in frequency of these extreme events are expected in a very near future. Therefore, the quantitative assessment of the natural-ecosystem vulnerability to drought is still very challenging, mainly due to the difficulties of having a common definition of vulnerability. Consequently, several methods have been proposed to assess agricultural vulnerability. In this work, a principal component analysis (PCA) was performed based on the components which characterize the exposure, sensitivity and adaptive capacity of the agricultural system to drought events with the aim of generating maps of vulnerability of agriculture to drought in Portugal. Several datasets were used to describe these components, namely drought indicators, vegetation indices and soil characterization variables. A comparison between the PCA-based method and a variance method using the same indicators was performed. Results show that both methods identify Minho and Alentejo as regions of low and extreme vulnerability, respectively. The results are very similar between the two methods, with small differences in certain vulnerability classes. However, the PCA method has some advantages over the variance method, namely the ability to identify the sign of the indicators, not having to use the indicator–component subjective relationship, and not needing to calculate weights. Furthermore, the PCA method is fully statistical and presents results according to prior knowledge of the region and the data used.

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“…Douglas (2007) used fragility curves to model physical vulnerability for evaluation of earthquake and landslide risk. For physical vulnerability of agricultural drought hazard, most studies chose geographical statistical methods or a different drought index with meteorology, hydrology or remote sensing data to calculate the distribution of drought hazard risk (Kellner and Niyogi, 2014;Karavitis et al, 2014;Jain et al, 2015;Murthy et al, 2015). However, none of these studies considered the relationship between meteorological factors and crop water stress during the process of crop growth, making it hard to determine the physical vulnerability of crops to drought hazard.…”

Section: Introductionmentioning

confidence: 99%

The drought risk of maize in the farming–pastoral ecotone in Northern China based on physical vulnerability assessment

Wang¹,

Jiang²,

Ma³

2016

Nat. Hazards Earth Syst. Sci.

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Abstract. Climate change is affecting every aspect of human activities, especially the agriculture. In China, extreme drought events caused by climate change have posed a great threat to food safety. In this work we aimed to study the drought risk of maize in the farming-pastoral ecotone in Northern China based on physical vulnerability assessment. The physical vulnerability curve was constructed from the relationship between drought hazard intensity index and yield loss rate. The risk assessment of agricultural drought was conducted from the drought hazard intensity index and physical vulnerability curve. The probability distribution of drought hazard intensity index decreased from south-west to north-east and increased from south-east to north-west along the rainfall isoline. The physical vulnerability curve had a reduction effect in three parts of the farming-pastoral ecotone in Northern China, which helped to reduce drought hazard vulnerability on spring maize. The risk of yield loss ratio calculated based on physical vulnerability curve was lower compared with the drought hazard intensity index, which suggested that the capacity of spring maize to resist and adapt to drought is increasing. In conclusion, the farmingpastoral ecotone in Northern China is greatly sensitive to climate change and has a high probability of severe drought hazard. Risk assessment of physical vulnerability can help better understand the physical vulnerability to agricultural drought and can also promote measurements to adapt to climate change.

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A study on agricultural drought vulnerability at disaggregated level in a highly irrigated and intensely cropped state of India

Cited by 32 publications

References 23 publications

Crops' sensitivity and adaptive capacity to drought occurrence

Crops' sensitivity and adaptive capacity to drought occurrence

Crops' exposure, sensitivity and adaptive capacity to drought occurrence

The drought risk of maize in the farming–pastoral ecotone in Northern China based on physical vulnerability assessment

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