Application of indicators for identifying climate change vulnerable areas in semi-arid regions of India

Kumar, Suresh; Raizada, A.; Biswas, H.; Srinivas, S.; Mondal, Biswajit

doi:10.1016/j.ecolind.2016.06.041

Cited by 49 publications

(27 citation statements)

References 38 publications

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“…We designate wells as “dry” in a given season and year if they did not record any data in that time frame, and estimate the % dry wells in a region as ratio of the number of dry wells to the total number of monitoring wells in that region. For climate analysis, we aggregate the % dry wells at the regional scale of NI and SI between 1996 and 2016 (Figure S6), and detrend the data using the least squares approach to reduce the effect of systematic changes (e.g., changing technology or groundwater irrigated area) in a region (Hosseini‐Moghari et al, ; Kumar et al, ). Overall, we find a significant negative correlation between the 36‐month standardized precipitation index ( r = −0.44, p value < 0.1; Figure a) for each year, and the residuals of the % dry well time series.…”

Section: Resultsmentioning

confidence: 99%

The Groundwater Recovery Paradox in South India

Hora

Srinivasan

Basu

2019

Geophysical Research Letters

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Reported groundwater recovery in South India has been attributed to both increasing rainfall and political interventions. Findings of increasing groundwater levels, however, are at odds with reports of well failure and decreases in the land area irrigated from shallow wells. We argue that recently reported results are skewed by the problem of survivor bias, with dry or defunct wells being systematically excluded from trend analyses due to missing data. We hypothesize that these dry wells carry critical information about groundwater stress that is missed when data are filtered. Indeed, we find strong correlations between missing well data and metrics related to climate stress and groundwater development, indicative of a systemic bias. Using two alternative metrics, which take into account information from dry and defunct wells, our results demonstrate increasing groundwater stress in South India. Our refined approach for identifying groundwater depletion hot spots is critical for policy interventions and resource allocation.

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Section: Resultsmentioning

confidence: 99%

The Groundwater Recovery Paradox in South India

Hora

Srinivasan

Basu

2019

Geophysical Research Letters

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“…The study was undertaken in two rural districts of Karnataka -Kolar and Gulbarga, and one urban site -Bangalore city (a growing destination for migrants) (Figure 1). Kolar and Gulbarga were chosen because they see significant commuting and migration, are among the least developed districts in Karnataka state (Government of Karnataka, 2014), and face several environmental risks such as severe water scarcity, recurrent droughts, and increasing natural resource degradation (BCCI-K, 2012;Kumar, Raizada, Biswas, Srinivas, & Mondal, 2016;Singh et al, 2017). Climate change is projected to affect both districts significantly: the average temperature is projected to increase by 1.96°C in Kolar and 2.19°C in Gulbarga.…”

Section: Description Of Study Sitesmentioning

confidence: 99%

Migration as a driver of changing household structures: implications for local livelihoods and adaptation

Singh

2019

Migration and Development

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Rapid environmental change, increasing climate variability, land fragmentation, and underlying institutional lacunae have shaped rural livelihoods in India. Increasingly, rural-urban migration has been a significant livelihood strategy to manage risks, meet aspirations, and move out of increasingly unprofitable agriculture. I argue that this movement of people is changing shape household structures, and the metrics to assess these transitions, often through categories of male-and female-headed households, fall short in understanding the experiences and outcomes of migration. Using a household survey (n = 825) and life history interviews (n = 16) to study rural-urban migration in South India, I demonstrate that shifting household configurations due to migration and commuting have implications for the risk management strategies people undertake. This calls for an expanded understanding of the 'household', which captures the realities of multi-local households, and consequently, for an expanded conceptualisation of 'local adaptation'. Such an understanding is sensitive to the 'beyond-local' flows and networks that shape household risk management behaviour and has implications for improving the effectiveness of climate change adaptation interventions.

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“…A diferencia de Latinoamérica, en otros países se aplicaron metodologías de evaluación del índice de vulnerabilidad de los sistemas agrícolas al cambio climático, uno de ellos fue el Estado de Karnataka en Canadá para lo cual recopilaron datos de pérdidas de producción de cultivos, exposición, sensibilidad y capacidad de adaptación donde asignaron ponderaciones a cada indicador logrando priorizar los distritos más vulnerables, con el fin de aplicar medidas de mitigación a cultivos de cereales, legumbres y oleaginosas. También estimaron que, alrededor del 70% de la superficie cultivada se enfrenta a un nivel de vulnerabilidad de "extremo a alto" proponiendo la implementación de sitios específicos como mejores instalaciones de salud y educación, expansión de oportunidades de empleo en otros sectores o reducir la dependencia excesiva de la agricultura (Kumar et al, 2016). Mientras que en la región rural de Le Marche (Italia) la actividad agrícola arable cumple un rol importante en el desarrollo económico de la zona.…”

Section: Efectos En La Agricultura De Otras Zonasunclassified