2018
DOI: 10.3390/rs10020244
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Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002

Abstract: Abstract:India is the second-most populous country and the second-most important producer of rice of the world. Most Indian rice production depends on monsoon timing and dynamics. In 2002, the lowest monsoon precipitation of the last 130+ years was observed. It coincided with the worst rice production anomaly recorded by FAOSTAT from 1961 to 2014. In that year, freshwater limitation was blamed as responsible for the yield losses in the southeastern coastal regions. Given the important implication for local foo… Show more

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Cited by 28 publications
(25 citation statements)
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“…Qiu et al [42] exploited the readily available soil moisture dataset from the ESA CCI SM product, ERA-Interim/Land reanalysis, and agro-meteorological network observations to examine the long-term soil moisture trend over China. Zampieri et al [43] adopted the ESA CCI SM product to compare the standardized precipitation evapotranspiration index and the standardized river discharge index. In future work, we will focus on other possible applications of the soil moisture products, such as climate variability and change assessment, hydrological and land surface modeling, and drought monitoring.…”
Section: Discussionmentioning
confidence: 99%
“…Qiu et al [42] exploited the readily available soil moisture dataset from the ESA CCI SM product, ERA-Interim/Land reanalysis, and agro-meteorological network observations to examine the long-term soil moisture trend over China. Zampieri et al [43] adopted the ESA CCI SM product to compare the standardized precipitation evapotranspiration index and the standardized river discharge index. In future work, we will focus on other possible applications of the soil moisture products, such as climate variability and change assessment, hydrological and land surface modeling, and drought monitoring.…”
Section: Discussionmentioning
confidence: 99%
“…In the future, it would also be interesting to carry on this analysis with an indicator of Blue Water Resources Resilience, which could be easily defined by computing the resilience indicator on the surface water budget given by precipitation minus evapotranspiration. This could be put in relation with soil moisture and river drought through the standardized Precipitation Evapotranspiration Index (SPEI [56,57]) or the Standardized River Discharge Index (SRDI [58,59]) to measure the reliability of freshwater resources for society and to help assessing the status of river ecosystems [60]. This additional resilience indicator may be potentially suitable for river related ecosystem services.…”
Section: Discussionmentioning
confidence: 99%
“…In order to quantify the links between climate and wheat production variability, we adopt a statistical model defined as a calibrated combination of heat and water stress indicators, i.e., the Combined Stress Index (CSI; Zampieri et al 2017). The CSI has been widely used to estimate the effects of climate anomalies on crop yields anomalies in current climate (Zampieri et al 2017(Zampieri et al , 2018(Zampieri et al , 2019b; it was applied in the context of seasonal forecasting (Ceglar et al 2018) and in economical modeling (Chatzopoulos et al 2019). The CSI procedure was further developed to quantify crop optimal production and the climate-related losses from the recorded crop production data available at the country level and to estimate the future production losses according to climate projections (Zampieri et al 2019a).…”
Section: Methodsmentioning
confidence: 99%