Ecological and vegetation responses in a humid region in southern China during a historic drought DOI
Ting Yang,

Jiasheng Qin,

Xudong Li

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 122986 - 122986

Published: Oct. 31, 2024

Language: Английский

Increasing influence of minimum temperature on grassland spring phenology in arid Central Asia DOI
Jianhao Li, Liang Liu,

Jianghua Zheng

et al.

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 355, P. 110122 - 110122

Published: June 14, 2024

Language: Английский

Citations

5

The impact of compound drought and heatwave events from 1982 to 2022 on the phenology of Central Asian grasslands DOI

Ruikang Tian,

Jianhao Li,

Jianghua Zheng

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121624 - 121624

Published: July 4, 2024

Language: Английский

Citations

4

Vegetation Resilience Evaluation of Coal Waste Dumps After Reclamation in Arid and Semi‐Arid Mining Areas Based on Temporal Satellite Imagery DOI Open Access

Lifan Zhang,

Yanling Zhao, He Ren

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

ABSTRACT Open‐pit mine waste dumps often exhibit unstable ecological recovery due to the limitations of artificial reconstruction process, despite undergoing land reclamation efforts. Especially in arid and semi‐arid mining regions, where harsh climatic conditions drought events occur, exacerbating vulnerability vegetation degradation hinder restoration Therefore, it is crucial conduct continuous monitoring ensure stability succession coal after reclamation. This study employed Landsat time series imagery combined with BFAST change detection algorithm evaluate resilience two reclaimed dumps, North dump (NCWD) South (SCWD), a typical area China, focusing on both resistance rate. The results viewed that all pixels across experienced 2–5 breakpoints from 2013 2021. Compared NCWD, SCWD exhibited fewer overall. 86.11% 93.31% NCWD SCWD, respectively, can be effectively recovered long‐term drought. However, rate was generally low, primarily concentrated 0–0.002, highlighting negative impact extreme restoration. Vegetation distinct spatial distribution influenced by terrain characteristics. Generally, steeper slope, higher elevation, windward direction (N‐W) were associated lower resistance. Besides, status before severe significantly resilience. NDVI positively correlated ( r = 0.318, p < 0.01) 0.301, 0.01), respectively. It also observed positive effect management as shown superiority terms Our research provided valuable reference for post‐reclamation measure areas.

Language: Английский

Citations

0

Spatiotemporal Dynamics of Drought and the Ecohydrological Response in Central Asia DOI Creative Commons

Keting Feng,

Yanping Cao,

Erji Du

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(1), P. 166 - 166

Published: Jan. 6, 2025

Due to the influences of climate change and human activities, resources environments “One Belt One Road” initiative are facing severe challenges. Using drought indicators, this study aimed analyze spatiotemporal characteristics environment response vegetation cover in area conditions. The Gravity Recovery Climate Experiment (GRACE) severity index (GRACE-DSI), GRACE water storage deficit (GRACE-WSDI) standardized precipitation (SPI) were calculated measure hydrological drought. Additionally, based on Global Land Data Assimilation System (GLDAS) data, groundwater data Central Asia was retrieved calculate using Standardized Groundwater Level Index (GRACE-SGI). findings indicate that, from 2000, Asia’s annual decreased at a rate 1.80 mm/year (p < 0.1), its temperature increased slightly, 0.008 °C/year = 0.62). Water significantly −3.53 0.001) showed an increase-decrease-increase-decrease pattern. During period, aridity deteriorated, especially eastern coast Caspian Sea Aral basin. After 2020, most experienced droughts both levels varying lengths severity. growing season, there substantial positive association between Normalized Difference Vegetation (NDVI) indicators such as GRACE-DSI GRACE-WSDI. Nonetheless, NDVI cultivated land grassland distribution areas displayed strong negative correlation with GRACE-SGI. This concludes that arid affected growth vegetation. ecological system may be put under additional stress if conditions continue worsen. paper explores Asia, those drought, analyzes vegetation, which is very important for environmental protection region.

Language: Английский

Citations

0

How Do Changes in Grassland Phenology and Its Responses to Extreme Climatic Events in Central Asia? DOI Creative Commons
Xinwei Wang, Jianhao Li,

Jianghua Zheng

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 160 - 160

Published: Jan. 14, 2025

Extreme climate events have become more frequent under global warming, significantly affecting vegetation phenology and carbon cycles in Central Asia. However, the mediating effects of intensity compound drought heat (CDHEs) moisture (CMHEs) on grassland their trends relative contributions to over time remained unclear. Based calculation results (CEs), this study used trend analysis, partial least squares regression structural equation modeling (PLS-SEM), ridge analysis investigate effect temporal contribution CEs Asia, magnitude sensitivity CEs. This revealed that start season (SOS) was advanced by 0.4 d·a−1, end (EOS) delayed 0.5 length (LOS) extended 0.8 d·a−1 1982–2022. The duration CDHEs (0−37 days) greater than CMHEs (0−9 direct were generally negative, except for positive LOS. indirect temperature precipitation through phenology. consistently CMHEs, both curves showed a significant upward trend. higher its at 0.79 (SOS), 1.18 (EOS), 0.72 (LOS). Our emphasize Under influence LOS will further lengthen future.

Language: Английский

Citations

0

A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU GIMMS NDVI (1984–2022) DOI Creative Commons
Mi Yan,

Jingyang Lu,

Yingying Ma

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113193 - 113193

Published: Feb. 1, 2025

Language: Английский

Citations

0

Vegetation Response to Flash Drought Events Considering Resilience in Southwestern China DOI Open Access
Liangliang Jiang, Guangming Wu,

Qijin Li

et al.

Water, Journal Year: 2025, Volume and Issue: 17(5), P. 653 - 653

Published: Feb. 24, 2025

Flash drought events occur frequently in Southwestern China, and a notable upward trend is predicted for the future. Attention should be given to how severity of flash droughts vegetation vulnerability hinder from recovering their original state, leading losses. Vegetation resilience was assessed dry years by adopting ‘resistance–resilience’ framework new perspective, we measured significance various characteristics affecting reduction using boosted regression tree (BRT) model. The results showed that croplands Sichuan Basin displayed low resistance droughts, whereas grasslands forests mountainous areas had high resistance. Croplands demonstrated resilience, while Guizhou province resilience. Most regions experienced especially Yunnan province. We found 2006 exhibited significant decrease LAI during events. where duration (DD) exceeded 60 days, interval (DIV) ranged 30 40 days. Forest with DD exceeding days DIV below 20 LAI. Furthermore, shrubs could recover once fell thresholds 0.34 0.30, respectively. impact species richness on can explored future research. This study reveals spatial patterns provides information preventing managing deterioration China.

Language: Английский

Citations

0

Widespread Sensitivity of Vegetation to the Transition From Normal Droughts to Flash Droughts DOI Creative Commons
Junjie Liao, Yuyue Xu, Jiatian Pi

et al.

Geophysical Research Letters, Journal Year: 2025, Volume and Issue: 52(6)

Published: March 16, 2025

Abstract Global climate change has intensified flash droughts, which differ from traditional and have significant ecological impacts. However, differences in ecosystem responses to normal droughts China remain unclear, particularly terms of vegetation vulnerability resilience. Using a three‐dimensional clustering method, we identified disparities between these drought types 1982 2022 found that developed 40% faster than but caused more severe damage. With the transition sensitivity increased. Shapley's additive interpretation assessed role each environmental factor recovery. The results show characteristics drive resilience vegetation, whereas temperature vapor pressure deficit become significant. These insights provide deeper understanding tolerance under changing climatic conditions.

Language: Английский

Citations

0

Divergent trends in vegetation greenness and resilience across China's forestry ecological engineering regions DOI
Xinxin Fu,

Zhenhong Li,

Jiahao Ma

et al.

Ecological Engineering, Journal Year: 2025, Volume and Issue: 215, P. 107614 - 107614

Published: March 27, 2025

Language: Английский

Citations

0

Space–Time Dynamics of Mortality and Recruitment of Stems and Trees in a Seasonally Dry Tropical Forest: Effect of the 2012–2021 Droughts DOI Creative Commons
Maria Beatriz Ferreira, Rinaldo Luíz Caraciolo Ferreira, José Antônio Aleixo da Silva

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(9), P. 1491 - 1491

Published: April 23, 2025

Seasonally dry tropical forests (SDTFs) represent about 41.5% of the planet’s forests. The objective this study was to characterize annual mortality and recruitment patterns stems trees between years 2012–2021 in a Caatinga remnant state Pernambuco, Brazil, through geostatistical modeling, associate drought events recorded region with vegetation dynamics. Mortality were monitored 80 permanent plots located an SDTF remnant, counted year by 2012 2021. standardized precipitation index (SPI) calculated quantify deficit or excess rainfall evaluated period. data then subjected analysis based on calculation classical semivariances. As result, there loss 68.33% 61.93% forest community during 2012–2021, which associated water caused SPI for region. Gaussian semivariogram model better represented spatial variability trees. An accumulative effect droughts increasing rates reducing period observed. relationship tree stem highlights impact vegetation, emphasizing importance considering extreme climatic proper management natural resources.

Language: Английский

Citations

0