Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain DOI Creative Commons
Ziyuan Zhou, Ying Guo, Dan Chen

et al.

International Journal of Disaster Risk Science, Journal Year: 2024, Volume and Issue: 15(5), P. 831 - 851

Published: Oct. 1, 2024

Abstract Due to global climate anomalies, the intensity and spatial extent of weather extremes have increased notably. Therefore, extreme events must be studied ensure agricultural production. In this study, growing season accumulated temperature above 10 °C (GSAT ) was used as regionalization index for maize in Songliao Plain region, study area divided into three zones. The standardized precipitation requirement (SPRI) (STI) were introduced analyze temporal patterns drought, waterlogging, heat during from May September using meteorological station data between 1991 2020. compound event magnitude indices constructed by modeling marginal distribution detect drought (CDHEs) waterlogging (CWHEs), assess their potential impacts on results show that: (1) major disasters region heat. areas with prolonged high temperatures similar higher severity extremes, mainly concentrated central southern parts (Zone 3). (2) CWHEs occurred northern part (Zones 1 2), CDHEs predominantly area. (3) For most sites Plain, duration, severity, positively correlated relative yield ( Y w ). Maize reduction significantly affected CDHEs.

Language: Английский

Dynamic interplay among soil nutrients, rhizosphere metabolites, and microbes shape drought and heat stress responses in summer maize DOI

Ao Yuan,

Saini Dinesh Kumar,

Haotian Wang

et al.

Soil Biology and Biochemistry, Journal Year: 2024, Volume and Issue: 191, P. 109357 - 109357

Published: Feb. 11, 2024

Language: Английский

Citations

16
A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain DOI Creative Commons
Hanmi Zhou,

Linshuang Ma,

Xiaoli Niu

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 296, P. 108807 - 108807

Published: April 2, 2024

The reference evapotranspiration (ETo) is a key parameter in achieving sustainable use of agricultural water resources. To accurately acquire ETo under limited conditions, this study combined the northern goshawk optimization algorithm (NGO) with extreme gradient boosting (XGBoost) model to propose novel NGO-XGBoost model. performance was evaluated using meteorological data from 30 stations North China Plain and compared XGBoost, random forest (RF), k nearest neighbor (KNN) models. An ensemble embedded feature selection (EEFS) method results RF, adaptive (AdaBoost), categorical (CatBoost) models used obtain importance factors estimating ETo, thereby determine optimal combination inputs indicated that by top 3, 4, 5 important as input combinations, all achieved high estimation accuracy. It worth noting there were significant spatial differences precisions four models, but exhibited consistently precisions, global indicator (GPI) rankings 1st, range coefficient determination (R2), nash efficiency (NSE), root mean square error (RMSE), absolute (MAE) bias (MBE) 0.920–0.998, 0.902–0.998, 0.078–0.623 mm d−1, 0.058–0.430 −0.254–0.062 respectively. Furthermore, accuracy varied across different seasons, which more significantly affected humidity wind speed winter. When target station insufficient, trained historical neighboring still maintained precision. Overall, recommends reliable for provides calculating absence data.

Language: Английский

Citations

11
Wetting or greening? Probing the global trends in Vegetation Condition Index (VCI) DOI Creative Commons
Guoying Yin, Wei He, X. Liu

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 129, P. 103822 - 103822

Published: April 7, 2024

Vegetation Condition Index (VCI), as a widely used drought index for monitoring vegetation stress and estimating trends, is constructed by normalizing the long-term satellite-based Normalized Difference (NDVI) data. However, under global greening, across different regions has shown an increasing trend in greenness, which may cause VCI to inherit greening NDVI further hamper its ability analysis. Therefore, this study quantitatively explored underlying relationship among VCI, from 2001 2021 examine utility of changing environment. Multi-source indicators were employed surrogates greenness drought, respectively. Particularly, Leaf Area (LAI) Net Primary Production (NPP) proxies while Root-Zone Soil Moisture (RZSM), Palmer Drought Severity (PDSI), Standardized Precipitation-Evapotranspiration (SPEI) indices. Based on Sen's slope estimator, Mann-Kendall (MK) test, partial correlation analysis, our results show that proportion pixels with approximately 38.5%, similar greenness-related indices (i.e., NPP [26.47%] LAI [59.14%]), significantly higher than other RZSM [19.83%], PDSI [10.38%], SPEI [9.32%]). Furthermore, demonstrate index, exhibits closer (LAI NPP) (RZSM, PDSI, SPEI). These reveal potential limitations practical applications could enhance understanding dynamics especially current globe. Additionally, serves cautionary note scientific community involved monitoring, emphasizing not be suitable tool evaluating trends impacts vegetation.

Language: Английский

Citations

9
Development potential of multi-cropping systems and its influence on agricultural water consumption in the Huang–Huai–Hai River Basin of China DOI Creative Commons
Linghui Li, Qingming Wang,

Zhao Yong

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 308, P. 109298 - 109298

Published: Jan. 13, 2025

Language: Английский

Citations

1
A new deep learning method for meteorological drought estimation based-on standard precipitation evapotranspiration index DOI
Sercan Yalçın, Musa Eşit, Önder Çoban

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 124, P. 106550 - 106550

Published: June 12, 2023

Language: Английский

Citations

19
Characterising baseflow signature variability in the Yellow River Basin DOI Creative Commons
Shixuan Lyu,

Chunling Guo,

Yuyu Zhai

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 345, P. 118565 - 118565

Published: July 8, 2023

Language: Английский

Citations

17
Dynamic evolution characteristics and hazard assessment of compound drought/waterlogging and low temperature events for maize DOI
Dan Chen, Ying Guo,

Yunmeng Zhao

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 946, P. 174427 - 174427

Published: July 3, 2024

Language: Английский

Citations

7
Fertilizer response to climate change: Evidence from corn production in China DOI
Quan Quan, Fujin Yi, Huilin Liu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 928, P. 172226 - 172226

Published: April 7, 2024

Language: Английский

Citations

6
Teleconnections of Atmospheric Circulations to Meteorological Drought in the Lancang-Mekong River Basin DOI Creative Commons
Lei Fan, Yi Wang,

Chenglin Cao

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(1), P. 89 - 89

Published: Jan. 10, 2024

The Lancang-Mekong River Basin (LMRB) is one of the major transboundary basins globally, facing ongoing challenges due to flood and drought disasters. Particularly in past two decades, basin has experienced an increased frequency meteorological events, posing serious threats local socio-economic structures ecological systems. Thus, this study aimed analyze characteristics LMRB identify impact correlation atmospheric circulation on basin. Specifically, different levels events were defined using Run Theory based seasonal annual SPEI from 1980 2018. time lag between EI Nino-Southern Oscillation (ENSO), Arctic (AO), North Atlantic (NAO), Pacific Decadal (PDO), analyzed LMRB. Our results indicated that, a temporal perspective, period November April following year was particularly prone droughts In terms spatial distribution, primary agricultural regions within basin, including Thailand, Eastern Cambodia, Vietnam, highly susceptible droughts. Further analysis revealed teleconnection factors. sensitivity basin’s timing its response decreased order ENSO > AO NAO PDO. general, had most substantial influence with strongest relationship, while upper reaches displayed significant AO; occurrence progression area synchronized AO. These findings enhance our understanding drought-prone areas LMRB, factors driving mechanisms involved. This information valuable for effectively mitigating managing risks region.

Language: Английский

Citations

4
Refined Evaluation of Climate Suitability of Maize at Various Growth Stages in Major Maize-Producing Areas in the North of China DOI Creative Commons
Xiaowei Wang, Xiaoyu Li,

Yunsheng Lou

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(2), P. 344 - 344

Published: Feb. 8, 2024

The Northeast region of China and Huang Huai Hai (3H) are vital maize production bases in northern that crucial for national food security. absence phenological data hinders a detailed assessment the alignment between development stages climatic resources. This study combines authors’ phenology with climate suitability modeling to evaluate maize’s at different developmental both regions. shows during growth cycle, average temperature, precipitation, sunshine, comprehensive were 0.77, 0.49, 0.87, 0.65, respectively, Northeast. In contrast, 3H 0.98, 0.53, 0.73, 0.70, respectively. Precipitation is major factor influencing growth, temperature sunshine impacting differently across Temperature significantly affects Northeast, while plays greater role region. suitable drought-resistant varieties, implementing late harvest policy Liaoning could enhance yield. generally has favorable conditions. Apart from certain parts Henan needing areas ample growing seasons can adopt long-duration varieties maximize thermal resource utilization. Our results have important implications optimizing planting strategies enhancing regional resilience, aiming assess meteorological factors’ impact on key areas.

Language: Английский

Citations

4