Quantifying the Evolution of Extreme Drought Under Climate Change and Its Impacts on Vegetation Productivity Over the Hai River Basin of China DOI Open Access

Tao-chung Yao,

Suxia Liu, Shi Hu

et al.

International Journal of Climatology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 22, 2024

ABSTRACT There has been increasing attention paid to the effects of drought, especially extreme on vegetation productivity under climate change. However, there are still challenges in quantifying variations and adverse effect drought at a regional scale within context historical This study quantified changes characteristics droughts their Hai River Basin (HRB) China, using factual (with trends) counterfactual (detrended) data from ISIMIP3a project. Standardised Precipitation Evapotranspiration Index (SPEI) Run theory were utilised determine characteristic factors (drought frequency, duration, severity, intensity peak) By comparing forcing simulations, detected attributed climatic trends. The negative gross primary (GPP) quantified. Results showed that more serious events occurred HRB 1901 2019 than those climate. difference was exacerbated late stages (1980–2019) over most basin. A deceleration found rising pattern GPP last four decades, exacerbating Compared during 1982–2000, experienced further losses related 2000–2018 rate 2°gC°m −2 °day −1 . Furthermore, drought‐related pronounced summer, indicating sensitive this season. These findings enhance our understanding historically observed trends suggest strategies should be implemented protect drought.

Language: Английский

Identification and characterization of long-term meteorological drought events in the Yellow River Basin DOI Creative Commons

Jiepeng Li,

Lajiao Chen,

Geli Zhang

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 102992 - 102992

Published: Jan. 1, 2025

Language: Английский

Citations

1
The role of large reservoirs in drought and flood disaster risk mitigation: A case of the Yellow River Basin DOI
Jianming Feng, Tianling Qin, Denghua Yan

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 175255 - 175255

Published: Aug. 3, 2024

Language: Английский

Citations

4
Earthquake Risk Severity and Urgent Need for Disaster Management in Afghanistan DOI Creative Commons
Noor Ahmad Akhundzadah

GeoHazards, Journal Year: 2025, Volume and Issue: 6(1), P. 9 - 9

Published: Feb. 19, 2025

Afghanistan is located on the Eurasian tectonic plate’s edge, a highly seismically active region. It bordered by northern boundary of Indian plate and influenced collisional Arabian to south. The Hindu Kush Pamir Mountains in are part western extension Himalayan orogeny have been uplifted sheared convergence plates. These activities generated numerous deep faults across Kush–Himalayan region, many which intersect Afghanistan, resulting frequent high-magnitude earthquakes. This interaction produces ground shaking varying intensity, from high moderate low, with epicenters often northeast extending southwest country. study maps Afghanistan’s structures, identifying most geological regions heightened seismicity. Historical earthquake data were reviewed, recent destructive events incorporated into national dataset improve disaster management strategies. Additionally, addresses hazards related building infrastructure design, offering potential solutions directions mitigate risks life property.

Language: Английский

Citations

0
Drought Driving Factors as Revealed by Geographic Detector Model and Random Forest in Yunnan, China DOI Open Access

Haiqin Qin,

Douglas Schaefer, Ting Shen

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 505 - 505

Published: March 12, 2025

Yunnan Province, as a critical ecological security barrier in China, has long been highly susceptible to drought events. Characterizing the spatiotemporal distributions of and identifying its driving factors is crucial. Due complexity occurrence, linear correlation analysis alone insufficient quantify drivers their interactions. This study used Standardized Precipitation Evapotranspiration Index (SPEI) indicator analyze trends across six major river basins. The geographic detector model (GDM) random forest (RF) were utilized impacts meteorological, topographical, soil, human activities on drought, well interactions among these factors. results showed that 63.61% area exhibits significant drying trend (p-value < 0.05), with Jinsha River Basin (JSRB) experiencing highest frequency extreme (PRE), temperature, potential evapotranspiration (PET), vapor pressure deficit (VPD), relative humidity (RH) identified primary controlling factor displaying nonlinear enhancement effects. PRE plays dominant role Yunnan, whereas elevation primarily influenced severity JSRB, Lancang (LCRB), Nujiang (NJRB). RF-based SPEI prediction demonstrated superior performance simulating short-term (SPEI_1, R2 > 0.931, RMSE 0.279), particularly JSRB (R2 = 0.947 0.228). These findings provide scientific basis for regional water resource management applications early warning systems, offering robust framework understanding mitigating ecologically sensitive regions.

Language: Английский

Citations

0
Response of the Evolution of Basin Hydrometeorological Drought to ENSO: A Case Study of the Jiaojiang River Basin in Southeast China DOI Open Access

He Qiu,

Hao Chen, Yijing Chen

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2616 - 2616

Published: March 16, 2025

Drought is one of the most widespread natural disasters globally, and its spatiotemporal distribution profoundly influenced by El Niño-Southern Oscillation (ENSO). As a typical humid coastal basin, Jiaojiang River Basin in southeastern China frequently experiences hydrological extremes such as dry spells during flood seasons. This study focuses on Basin, aiming to investigate response mechanisms drought evolution ENSO regions. employs 10-day scale data from 1991 2020 driven through comprehensive framework that combines standardized indices with climate–drought correlation analysis. The results indicate Comprehensive Index (CDI), integrating advantages Standardized Precipitation (SPI) Runoff (SRI), effectively reflects basin’s combined meteorological wet-dry characteristics. A strong relationship exists between events. characteristics basin vary significantly different phases. findings can provide theoretical support for construction resilient regional water resource systems, research holds reference value sustainable development practices similar regions globally.

Language: Английский

Citations

0
Intermittent fasting driven different adaptive strategies in Eothenomys miletus (Red-backed vole) at different altitudes: based on the patterns of variations in intestinal microbiota DOI Creative Commons
Ting Jia, Wei Zhang, Wanlong Zhu

et al.

BMC Microbiology, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 31, 2025

In the face of global warming, Eothenomys miletus (Red - backed vole), a species dwelling in highland mountainous regions, is likely to encounter difficulties. Given its restricted mobility, it may struggle with uncertainty food resources. such circumstances, becomes increasingly crucial for this adjust diverse responses fulfill energy requirements. E. specimens were gathered from different altitudes intermittent fasting (IF) experiments. these experiments, underwent random 3 days within seven day cycle. 16 S rDNA sequencing technology, combined physiological and biochemical assessment methods, was employed analyze impacts IF on gut microorganisms, indicators, interactions among them. By exploring adaptive uncertain resources, which provides novel perspectives strategies small rodents wild during food-scarce periods. The results showed that significantly reduced body mass miletus. Significant correlations found between various microbes indicators. Under conditions, at high experienced smaller reduction compared those low altitudes. Moreover, diversity endemic bacteria varied more than differential response high-altitude low-altitude under conditions indicated altitude an important factor influencing adaptation dietary changes. High-altitude relatively decrease mass, potentially reflecting their better environmental stressors over time. Additionally, greater variation microbe implied shape microbiota, turn could be related unique adaptations Overall, possess stable regulatory mechanisms, demonstrating conditions. These findings provide valuable insights into complex interplay diet, altitude, microbiota context physiology, highlighting importance considering both microbial factors understanding species' nutritional challenges.​.

Language: Английский

Citations

0
Spatiotemporal Characteristics of Drought Events in Africa's Great Green Wall Region During 1950–2022 DOI

Kidane Welde Reda,

Yongdong Wang,

You Yuan

et al.

Journal of Geophysical Research Biogeosciences, Journal Year: 2025, Volume and Issue: 130(4)

Published: April 1, 2025

Abstract Understanding historical spatiotemporal drought patterns is crucial for effective adaptation and mitigation strategies. Despite the launch of Africa's Great Green Wall (AGGW) initiative by African Union to combat desertification in semi‐arid Sahel region, there remains a limited comprehensive long‐term assessment patterns. In this study, we analyzed characteristics AGGW region using Standardized Precipitation‐Evapotranspiration Index (SPEI) at multiple timescales (1‐month, 3‐month, 6‐month, 9‐month, 12‐month) from 1950 2022. regional variations, results showed an overall increasing trend across during past 73 years. Trends change per year were −0.012, −0.015, −0.018, −0.009, −0.021 SPEI01, SPEI03, SPEI06, SPEI09, SPEI12, respectively. Significant spatial variability duration, frequency, intensity, observed, mainly larger values concentrated northern central areas AGGW. Two significant turning points detected, occurring 1973 1996 that indicated periods 1950–1972 1973–1995 non‐significant increase while severe occurred late (1996–2022), with widespread coverage. Seasonal variation demonstrates autumn, spring, summer, winter all SPEI time scales, notably rates autumn winter. Finally, these findings provide important insights into mechanisms droughts have implication strategies meet core objectives initiative.

Language: Английский

Citations

0
How to improve drought resilience to guarantee regional sustainable development DOI Creative Commons
Huihui Wang,

Xiaoyong Gao,

Yunsong Yang

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38533 - e38533

Published: Sept. 26, 2024

Language: Английский

Citations

2
Propagation Characteristics and Influencing Factors of Meteorological Drought to Soil Drought in the Upper Reaches of the Shiyang River Based on the Copula Function DOI Creative Commons
Junju Zhou,

Anning Gou,

Shizhen Xu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2050 - 2050

Published: Nov. 29, 2024

Drought propagation is a complex process, and understanding the mechanisms of meteorological drought to soil crucial for early warning, disaster prevention, mitigation. This study focuses on eight tributaries in upper reaches Shiyang River. Based Standardized Precipitation Index (SPI) Soil Moisture (SSMI), Propagation Intensity (DIP) Copula function were applied quantify intensity time from explored patterns at different temporal spatial scales these tributaries. Results showed that, 0–10 cm layer, was peer-to-peer, with one month. In middle (10–40 cm) deep (40–100 layers, characteristics differed between eastern western The experienced stronger shorter times (2–4 months), while exhibited peer-to-peer longer (4–10 months). large areas forests grasslands River contributed strong land–atmosphere interactions, leading layer. had extensive cultivated land, where irrigation during enhanced moisture, resulting layers. contrast, tributaries, larger forest widespread permafrost, high water consumption limited recharge 10–40 40–100 propagation.

Language: Английский

Citations

2
Spatiotemporal evolution and driving force analysis of drought characteristics in the Yellow River Basin DOI Creative Commons
Meiying Wang, Yangbo Chen,

Jingyu Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113007 - 113007

Published: Dec. 20, 2024

Language: Английский

Citations

2