GSTDTAP  > 气候变化
DOI10.1029/2021GL094702
Probabilistic Assessment of Extreme Heat Stress on Indian Wheat Yields under Climate Change
Mariam Zachariah; Arpita Mondal; Amir AghaKouchak
2021-10-13
发表期刊Geophysical Research Letters
出版年2021
英文摘要

The wheat belt along the Indo-Gangetic Plains (IGP) in India is an emergent hotspot of climate change-driven crop loss threatening local food security. Using statistical Generalized Linear Models (GLMs), observed temperature and wheat production data, we show an increase in magnitude, frequency and areal extent of heat stress episodes in the IGP region during 1967-2018. Such episodes comprise of temperatures exceeding a senescence-inducing threshold. Further, using a copula-based multivariate framework, we probabilistically assess wheat production conditioned on heat stress indicators, both in the historical period and also in the Coupled Model Intercomparison Project (CMIP6) future projections. Probabilistic estimates of below-average wheat production under scenario-averaged heat stress conditions are expected to rise by 8-27% under the SSP5-8.5 scenario, with Punjab showing the largest increase. Quantitative links between heat stress indicators and loss of crop yield highlight increased agricultural vulnerability in India under climate change.

领域气候变化
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/340088
专题气候变化
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Mariam Zachariah,Arpita Mondal,Amir AghaKouchak. Probabilistic Assessment of Extreme Heat Stress on Indian Wheat Yields under Climate Change[J]. Geophysical Research Letters,2021.
APA Mariam Zachariah,Arpita Mondal,&Amir AghaKouchak.(2021).Probabilistic Assessment of Extreme Heat Stress on Indian Wheat Yields under Climate Change.Geophysical Research Letters.
MLA Mariam Zachariah,et al."Probabilistic Assessment of Extreme Heat Stress on Indian Wheat Yields under Climate Change".Geophysical Research Letters (2021).
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