Impacts of Extreme Temperature and Precipitation on Crops during the Growing Season in South Asia

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(23), P. 6093 - 6093

Published: Dec. 1, 2022

South Asia, one of the most important food producing regions in world, is facing a significant threat to grain production under influence extreme high temperatures. Furthermore, probability simultaneous trends precipitation patterns and heat conditions, which can have compounding effects on crops, likelihood Asia. In this study, we found complex relationships between patterns, as well compound major crops (rice wheat) We also employed event coincidence analysis (ECA) quantify temperature crop extremes. used Enhanced Vegetation Index (EVI) primary data evaluate distinct responses weather Our results suggest that while events small, Asia (more than half) experienced events. The regulatory effect stress very unevenly distributed harm caused by wet year at far greater during dry year, although year. For growing seasons, highest rates low EVI were for both high- low-temperature responded positively temperatures mainly concentrated irrigated farmland, negatively mostly mountains other high-altitude regions. Implications guide adaptation interventions response these climate influences.

Language: Английский

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Probabilistic assessment of drought impacts on wheat yield in south-eastern Australia

Agricultural Water Management, Journal Year: 2023, Volume and Issue: 284, P. 108359 - 108359

Published: May 16, 2023

A risk-based approach is more meaningful to quantify the effects of drought on crop yield given randomness nature past events, compared deterministic approach. However, majority these probabilistic studies are conducted at national or global scale assess loss probability under conditions. There still a lack research combining droughts and yields in way local scale. Moreover, it unclear how threshold triggering conditional will vary dryland cropping regions. Here, we used wheat data from 66 shires New South Wales (NSW) belt meteorological 986 weather stations. copula-based method was developed explore various We investigated using constructed copula function. found that SPEI-6 October optimal index represent detrended variation as this period covered main growth stages winter study region. Our results show severity increased, also increased. Yield varied among shires, mainly due climate conditions each The subregion 1 (the northwest) highest, followed by 2 southwest) 3 eastern), indicating sensitive drought. findings could provide important direction benchmarks for stakeholders evaluating agricultural impact drought, especially those prone areas. expect methodological framework here can be extended other areas helpful information growers, risk management policy makers insurance evaluators.

Language: Английский

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Identification of Best CMIP6 Global Climate Model for Rainfall by Ensemble Implementation of MCDM Methods and Statistical Inference

Water Resources Management, Journal Year: 2023, Volume and Issue: 37(13), P. 5147 - 5170

Published: Sept. 16, 2023

Language: Английский

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Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin

Theoretical and Applied Climatology, Journal Year: 2023, Volume and Issue: 155(3), P. 1605 - 1624

Published: Oct. 31, 2023

Language: Английский

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Exploring Climate Change Effects on Drought Patterns in Bangladesh Using Bias-Corrected CMIP6 GCMs

Earth Systems and Environment, Journal Year: 2023, Volume and Issue: 8(1), P. 21 - 43

Published: Dec. 26, 2023

Language: Английский

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