Asymmetric Responses of Summer Soil Moisture Anomalies to the Large-Scale Teleconnections on the Loess Plateau between 2000 and 2020 DOI

Jialan Hu,

Shuangshuang Li, Xianfeng Liu

и другие.

Опубликована: Янв. 1, 2023

Soil moisture is a key regulator of hydrological cycle and closely related to vegetation growth climate changes. However, exactly how soil content (SMC) anomalies on the Loess Plateau respond large-scale teleconnection remails unclear. Here, based 1 km daily dataset using in situ measurement machine learning, we demonstrated that there was an interdecadal fluctuation from 2000 2020 sensitive areas restoration (SAVR) Plateau, with only 13.3% whose tendency passed significant level 0.05. Spatially, summer SMC greater than 5 m3/m3 (less -5 m3/m3) accounted for 28.1% (15.4%) positive (negative) anomalous years, this discrepancy can be attributed distinct circulation pattern water vapor transport. We found asymmetrical distribution atmospheric patterns between negative years. In years SMC, combination low-pressure system around Lake Baikal westward expansion western Pacific subtropical high triggered sustained southerly west flank, strengthened meridional transport south China north North China. during anticyclone prevailed over transported northwestward central-eastern rather Plateau. Under above patterns, accumulation approximately 4.1-fold more abundant corresponding upward sinking motions, further leading less summer, respectively. The conclusions study have implications excavating early warning information natural sustainable management

Язык: Английский

Spatiotemporal changes of vegetation in the northern foothills of Qinling Mountains based on kNDVI considering climate time-lag effects and human activities DOI
Lili Chen,

Zhenhong Li,

Chenglong Zhang

и другие.

Environmental Research, Год журнала: 2025, Номер unknown, С. 120959 - 120959

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2
Unraveling the interplay between NDVI, soil moisture, and snowmelt: A comprehensive analysis of the Tibetan Plateau agroecosystem DOI Creative Commons
Di Wei, Yunkai Li, Ziqi Zhang

и другие.

Agricultural Water Management, Год журнала: 2025, Номер 308, С. 109306 - 109306

Опубликована: Янв. 13, 2025

Язык: Английский

Процитировано

1
Exploring the dominant drivers affecting soil water content and vegetation growth by decoupling meteorological indicators DOI

Xurui Mao,

Jianghua Zheng,

Jingyun Guan

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 631, С. 130722 - 130722

Опубликована: Янв. 23, 2024

Язык: Английский

Процитировано

8
Response of Vegetation to Drought in the Source Region of the Yangtze and Yellow Rivers Based on Causal Analysis DOI Creative Commons
Jie Lu, Tianling Qin, Denghua Yan

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(4), С. 630 - 630

Опубликована: Фев. 8, 2024

The vegetation and ecosystem in the source region of Yangtze River Yellow (SRYY) are fragile. Affected by climate change, extreme droughts frequent permafrost degradation is serious this area. It very important to quantify drought–vegetation interaction area under influence climate–permafrost coupling. In study, based on saturated vapor pressure deficit (VPD) soil moisture (SM) that characterize atmospheric drought, as well Normalized Differential Vegetation Index (NDVI) solar-induced fluorescence (SIF) greenness function, evolution regional productivity drought were systematically identified. On basis, technical advantages causal discovery algorithm Peter–Clark Momentary Conditional Independence (PCMCI) applied distinguish response VPD SM. Furthermore, study delves into mechanisms NDVI SIF considering different types areas. findings indicated low SM high limiting factors for growth. positive negative effects accounted 47.88% 52.12% total area, respectively. Shrubs most sensitive SM, speed grassland was faster than forest land. impact SRYY stronger VPD, effect frozen more obvious. average 0.21 0.41, respectively, which twice those whole dominated changes 62.87% (76.60%) research results can provide scientific basis theoretical support assessment adaptation permafrost, vegetation, change reference ecological protection regions.

Язык: Английский

Процитировано

7
Integrating social-ecological system into watershed ecosystem services management: A case study of the Jialing River Basin, China DOI Creative Commons
Yixu Wang, Jie Gong,

Yuehua Zhu

и другие.

Ecological Indicators, Год журнала: 2024, Номер 160, С. 111781 - 111781

Опубликована: Фев. 26, 2024

A severe decline in ecosystem services (ES) has accompanied the rapid development of human societies. There is a growing interest considering ES management from systemic and integrated perspective. Yet, researchers still need to explore effective ways integrate natural systems for strengthening ES. This study proposes an integrating framework that connects concept social-ecological system (SES) with We utilize land use types as indicators basic SES structure employ InVEST model evaluate typical Jialing River Basin (JRB). By analyzing spatial temporal characteristics multiple ES, we investigate how related different types. The results reveal that: (1) 1980 2020, JRB underwent significant transformations, including decrease cropland areas, while construction forestland areas increased. Especially, experienced increase high 212.53%. (2) Regarding water yield (WY) increased soil conservation (SC), carbon storage (CS), habitat quality (HQ) decreased. (3) relationship analysis demonstrated disparities levels across various Construction exhibited highest average WY but lower SC, CS, HQ values compared which had higher instead. These findings imply regional will be positively or negatively affected by transformation within SES. In long run, it crucial synthesize both functional benefits provided JRB, then control favorable transformations enhance sustainable supply provides novel methodology connecting comprehensively new perspectives beneficial building enhancement.

Язык: Английский

Процитировано

7
Assessment of Vegetation Dynamics in Xinjiang Using NDVI Data and Machine Learning Models from 2000 to 2023 DOI Open Access
Nan Ma,

Shanshan Cao,

Tao Bai

и другие.

Sustainability, Год журнала: 2025, Номер 17(1), С. 306 - 306

Опубликована: Янв. 3, 2025

This study utilizes NASA’s Normalized Difference Vegetation Index (NDVI) data from the Google Earth Engine (GEE) platform and employs methods such as mean analysis, trend Hurst index to assess NDVI dynamics in Xinjiang, with a particular focus on desert, meadow, grassland vegetation. Furthermore, multiple linear regression, random forest, support vector machines, XGBoost models are applied construct evaluate prediction models. The key driving forces identified ranked based results of optimal model. Changes vegetation cover response these analyzed using Mann–Kendall test partial correlation analysis. indicate following: (1) From 2000 2023, annual variation Xinjian fluctuates at rate 0.0012 per year. intra-annual follows an inverted U shape, meadow exhibiting highest monthly fluctuations. (2) During this period, average Xinjiang ranges 0 0.3, covering 74.74% region. Spatially, higher values observed north northwest, while lower concentrated south southeast. (3) overall slope between 2023 −0.034 0.047, indicating no significant upward trend. According index, future projections suggest shift improvement potential degradation. (4) Machine learning developed predict NDVI, forest showing precision. Soil moisture, runoff, evaporation drivers. In last 24 years, temperatures have generally increased, precipitation, soil runoff declined. There is negative both temperature evaporation, positive significant, distinct spatial variations throughout has been increasing, but outlook less promising. Enhanced environmental monitoring protective measures essential moving forward.

Язык: Английский

Процитировано

0
Evaluation of impact of climate extremes on vegetation change in Southwest China considering time-lag effect DOI Creative Commons

Gang Qi,

Nan Cong,

Tangzhen Qiu

и другие.

Global Ecology and Conservation, Год журнала: 2025, Номер unknown, С. e03497 - e03497

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Investigation into the temporal impacts of drought on vegetation dynamics in China during 2000 to 2022 DOI Creative Commons

Yutian Du,

Shaowei Lv,

Fuqiang Wang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 21, 2025

Quantifying vegetation's response to drought and understanding its mechanisms is crucial for mitigating the adverse effects of disasters. The asymmetric cumulative lag on vegetation growth are widespread, yet responses different types, climate zones, elevations in China remain unclear. This study used Standardized Precipitation Evapotranspiration Index (SPEI) Normalized Difference Vegetation (NDVI) analyze status trends from 2000 2022, examining differentiation (CED) effect (LED) under various conditions. main findings as follows: (1) 85.1% area becoming greener, with an overall rate 0.026 per decade. Annual levels fluctuate, increasingly severe conditions parts southwestern northwestern China. (2) CED affects 35.94% vegetated areas, 77.44% showing a positive correlation between SPEI NDVI. Grasslands have longest (5.90 months), while forests shortest (4.72 months). Temperate Arid zones show higher CED, at 6.91 months 6.77 months, respectively. highest found 2000-2500 m (6.34 lowest 3000-3500 (4.28 (3) LED larger (39.22%) average duration 6.42 greater than (5.56 (7.72 (6.78 months) shrublands (6.48 shorter. zone has (8.35 Tropical (4.82 shows significant elevation differences, being smallest low (4) Climate type potential evapotranspiration explain 0.269 0.259 For LED, temperature dominant (0.173 0.167). combination factors significantly enhances explanatory power temporal effects. (5) NDVI stability negatively influenced by CED. vegetation-drought relationship provides theoretical support addressing risks change.

Язык: Английский

Процитировано

0
Groundwater drought propagation and the drought resistance capacity in different climatic regions of China DOI Creative Commons
Shuqi Dong, Linqi Li, Zhaoqiang Zhou

и другие.

Agricultural Water Management, Год журнала: 2025, Номер 312, С. 109425 - 109425

Опубликована: Март 13, 2025

Язык: Английский

Процитировано

0
Spatiotemporal Pattern of Soil Moisture and Its Association with Vegetation in the Yellow River Basin DOI Open Access
Jun Xia, Junliang Jin, Shanshui Yuan

и другие.

Water, Год журнала: 2025, Номер 17(7), С. 1028 - 1028

Опубликована: Март 31, 2025

Soil moisture (SM) plays a crucial role in the hydrological and ecological processes of Yellow River Basin (YRB), with its spatiotemporal distribution variability serving as key factors for understanding ecosystem responses to environmental changes. However, previous research has often overlooked variation SM across different soil layers complex bidirectional interactions between vegetation, particularly indicated by Normalized Difference Vegetation Index (NDVI), within vegetation zones layers. Widely used fields such agriculture water cycle research, GLDAS dataset been applied analyze patterns at four depths (0–10 cm, 10–40 40–100 100–200 cm) YRB from 1948 2022, revealing continuous increase over time, more pronounced changes after identified breakpoints (1985 cm layer, 1986 other layers). Granger causality tests show that interaction NDVI dominates all regions, far surpassing unidirectional effects on or vice versa. Regardless whether is primary variable, Temperate Evergreen Broadleaf Forest (TEBF) region consistently exhibits strongest lag layers, followed Qinghai-Tibet Plateau Alpine (QTPAV) Desert Region (TDR). The Subtropical Warm Deciduous (SWTDF) Grassland (TGR) weakest effects. This offers new insights into mutual feedback hydrology provides scientific basis effective resource management.

Язык: Английский

Процитировано

0