Risk Assessment of Compound Dry–Hot Events for Maize in Liaoning Province DOI Creative Commons
Rui Wang, Xiao‐Xuan Zhang,

Longpeng Cong

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(7), P. 834 - 834

Published: July 13, 2024

Extreme climates can result in marked damage to crop yields and threaten regional global food security. Maize is a major grain Liaoning Province which severely affected by dry hot weather events. This study was based on the maize yield daily meteorological data from various stations 2000 2020. We calculated standardized index constructed method for estimating reduction risk under compound dry–hot events (CDHE) combining coefficient of variation reduction, loss index, frequency CDHE during reduction. The results showed that high-risk area occurrence Chaoyang City, located western part Province. Cities low-risk accounted approximately 64.3% total number cities Province, mainly central northern parts emphasizes impact agricultural production provides an assessing production.

Language: Английский

Climate Change and Hydrological Extremes DOI
Jinghua Xiong, Yuting Yang

Current Climate Change Reports, Journal Year: 2024, Volume and Issue: 11(1)

Published: Oct. 2, 2024

Language: Английский

Citations

23
Hydroclimate volatility on a warming Earth DOI Creative Commons
Daniel L. Swain, Andreas F. Prein, John T. Abatzoglou

et al.

Nature Reviews Earth & Environment, Journal Year: 2025, Volume and Issue: 6(1), P. 35 - 50

Published: Jan. 9, 2025

Language: Английский

Citations

17
Performances of different yield-detrending methods in assessing the impacts of agricultural drought and flooding: A case study in the middle-and-lower reach of the Yangtze River, China DOI Creative Commons

Huayue Meng,

Long Qian

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 296, P. 108812 - 108812

Published: April 4, 2024

In evaluating the impacts of drought and flooding disasters on crop yields, accurately calculating meteorological yield (i.e., detrended yield) is an important procedure. The present work aimed to compare various yield-detrending methods in terms characterizing regression relationships between intensities flooding. Taking middle-and-lower reach Yangtze River (MLRYR) as study region, during growing seasons four crops (cotton, oilseed rape, wheat, maize) were quantified using standardized precipitation evapotranspiration index. Nine popular first-difference method employed determine yields. results indicated that examined consistently identified cases with very significant yield-reducing 58 relationships, outperforming (identifying 39–44 relationships). 20-yr moving average linear fitting performed best at provincial level, while cubic smoothing spline quadratic polynomial district level. Based these best-performing methods, was proposed exhibited wider applicability better performance than individual methods. losses, cotton most affected (35% all districts experienced severe loss) Anhui region (with loss 14.06%). impact 41 districts; comparison, only 7 districts. Additionally, rape by These can provide guidance for assessing agricultural under climate change.

Language: Английский

Citations

5
Evaluating the impacts of flooding on crop yields by different meteorological indices: A regional case study in the middle-lower reach of the Yangtze River, China DOI Creative Commons

Huayue Meng,

Long Qian, Kai Duan

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 162, P. 112068 - 112068

Published: April 23, 2024

Flooding is a worldwide destructive disaster that severely restricts agricultural production. Meteorological indices are common tools for regionally assessing the impact of flooding on crop yields, but their performances rarely compared. In this work, six convenient meteorological indices, namely, precipitation (P), standardized anomaly (PA), China Z index (CZI), (SPI), and evapotranspiration (SPEI), antecedent (SAPEI), were employed to establish correlations between intensity yield (FL-Ym correlation). Four major crops in middle-lower reach Yangtze River (cotton, oilseed rape, wheat, maize) selected as study crops. The results indicated intensities quantified by SPI, SPEI, CZI had strong interconnections, whereas those P SAPEI less related others. cases with stronger negative FL-Ym correlations, different more likely consistent identifications. terms districts witnessing significant only 26%, 41%, 44%, 75% them (respectively corresponding cotton, maize, rape), consistently identified majority demonstrating nonnegligible influence selection. relative examined varied calculation periods (whole growth period single critical stage), SPEI was generally best performer. performed during stages, sharp contrast its mediocre performance over whole period. According multiple middle stages exerted greatest impact. Additionally, rape Anhui Province region most affected flooding. This work can provide support assessment water management.

Language: Английский

Citations

4
Agricultural roots of social conflict in Southeast Asia DOI Creative Commons
Justin V. Hastings, David Ubilava

Journal of Peace Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

We examine whether harvest-time transitory shifts in employment and income lead to changes political violence social unrest rice-producing croplands of Southeast Asia. Using monthly data from 2010 2023 on over 86,000 incidents covering 376 one-degree cells across eight Asian countries, we estimate a general increase decrease with rice production during the harvest season relative rest crop year. In finding that is least sensitive alternative model specifications subsetting, 9% against civilians locations considerable compared other parts region season, show conflict are most evident rural rainfed agriculture. location-specific annual variation growing rainfall, then occurs presumably good years, whereas battles between actors follows seasons scarce rainfall. The unrest, protests particular, after bad years. These findings contribute research agroclimatic economic roots offer insights policymakers by suggesting spatiotemporal concentration as well diverging effects forms at time regions

Language: Английский

Citations

0
Increasing Sensitivity of Winter Wheat Yield to Snow Drought DOI Creative Commons
Shuo Wang, Huijiao Chen, Peng Zhu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 29, 2024

Abstract The global crop ecosystem is critically dependent on snow availability, which has diminished in numerous snow-dependent regions due to increasing droughts associated with warmer winters. However, our understanding of yield sensitivity and how this evolves remains limited. In study, we find that from 1960 2020, approximately 51% winter wheat croplands have experienced a significant increase (5.3−6.7% per year) the frequency droughts. To assess droughts, utilized explainable machine learning, gridded datasets, standardized water equivalent index (SWEI) 1982 2016. Our findings reveal positive association between anomalies SWEI under drought conditions over 24% Northern Hemisphere croplands. Additionally, enhanced accumulation growing degree days, increased vapor pressure deficit (VPD), slight decrease total precipitation, heavy rainfall are identified as dominant factors amplifying These highlight an vulnerability systems past three decades, crucial for informing risk management adaptation agriculture warming future less snow.

Language: Английский

Citations

0
Risk Assessment of Compound Dry–Hot Events for Maize in Liaoning Province DOI Creative Commons
Rui Wang, Xiao‐Xuan Zhang,

Longpeng Cong

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(7), P. 834 - 834

Published: July 13, 2024

Extreme climates can result in marked damage to crop yields and threaten regional global food security. Maize is a major grain Liaoning Province which severely affected by dry hot weather events. This study was based on the maize yield daily meteorological data from various stations 2000 2020. We calculated standardized index constructed method for estimating reduction risk under compound dry–hot events (CDHE) combining coefficient of variation reduction, loss index, frequency CDHE during reduction. The results showed that high-risk area occurrence Chaoyang City, located western part Province. Cities low-risk accounted approximately 64.3% total number cities Province, mainly central northern parts emphasizes impact agricultural production provides an assessing production.

Language: Английский

Citations

0