Influences of human activity and climate change on growing-season soil moisture in the Qinghai–Tibet grasslands from 2000 to 2020 DOI Creative Commons
Jianyu Xiao, Chengqun Yu, Gang Fu

et al.

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: Nov. 1, 2023

Soil moisture (SM) serves as a vital indicator reflecting environmental water conditions, but significant uncertainties still persist regarding how human activity and climate change affect SM. In this study, we quantified the influences of on growing-season SM in Qinghai–Tibet grasslands from 2000 to 2020. Climate led decline spatially mean at rate −0.01 −0.06 g −1 year 0–10 10–20 cm, respectively. Nonetheless, caused soil become wetter 39.97% 22.29% areas Human resulted by 36% 21% 2.82% cm 30.03% cm. Therefore, both have contributed pattern where whole became drier while specific parts during last 20 years. addition temperature precipitation change, should also pay attention response radiation change.

Language: Английский

Warming increases root water uptake on the Qinghai-Tibet Plateau via changes in alpine meadows root tips DOI Creative Commons

Baisha Weng,

Siying Yan,

Haotian Fang

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 312, P. 109438 - 109438

Published: March 27, 2025

Language: Английский

Citations

0

Exploring Soil Hydro-Physical Improvements Under No-Tillage: A Sustainable Approach for Soil Health DOI Creative Commons

G. Mihu,

Tudor George Aostăcioaei,

Cosmin Ghelbere

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 981 - 981

Published: April 30, 2025

No-tillage (NT) is a key practice in conservation agriculture that minimizes soil disturbance, thereby enhancing structure, porosity, and overall quality. However, its long-term effects on pore networks hydro-physical functions remain underexplored. This study evaluated the impacts of NT conventional tillage (CT) properties using undisturbed columns, X-ray computed tomography, standard physical measurements. A field experiment was conducted under an eight-year continuous cropping system, with four-year rotation [winter wheat (Triticum aestivum L.)—maize (Zea mays L.)—sunflower (Helianthus annuus L.)—peas (Pisum sativum L.)], comparing CT treatments three replications. Soil parameters including bulk density (BD), moisture content, total porosity (SP), water-stable aggregates (WSA), saturated hydraulic conductivity (Ksat) were measured. Results showed increased BD (1.45 g/cm3) compared to (1.19 g/cm3), likely due reduced disturbance. Moisture content up 78% higher than CT. Saturated also NT, 17% 43% increases observed at harvest 2022 2023, respectively, except 0–30 cm layer immediately after sowing. Micro-CT analysis revealed 34–115% increase macropores (>1025 μm) 10–40 depth. These findings demonstrate improves properties, supporting integration into sustainable farming systems balance productivity environmental stewardship.

Language: Английский

Citations

0

Temporal response of urban soil water content in relation to the rainfall and throughfall dynamics in the open and below the trees DOI Open Access
Katarina Zabret, Klaudija Lebar, Mojca Šraj

et al.

Journal of Hydrology and Hydromechanics, Journal Year: 2023, Volume and Issue: 71(2), P. 210 - 220

Published: May 14, 2023

Abstract Rainfall interception process is an important part of the biohydrological cycle, in which vegetation plays role by regulating amount and dynamics rainfall reaching ground. In this paper, event-based analysis performed to discuss influence on dynamic temporal response soil volumetric water content (VWC) upper layer during events. More specifically, six events that occurred between 19 November 2021 30 June 2022, characterized different hydro-meteorological conditions, are analyzed based continuous measurements VWC open below groups two deciduous ( Betula pendula Roth.) coniferous trees Pinus nigra Arnold), as well throughfall urban experimental plot Ljubljana, Slovenia. values at depth (16 cm) were highest under birch tree, followed location pine tree. However, lowest (74 responses showed seasonal patterns related pre-event wetness with a faster occurrence maximum leafless period. Additionally, its event significantly affect response, general reaches peak after more intense rainfall. Such analysis, offering insight into development, crucial very beneficial for understanding processes.

Language: Английский

Citations

8

Response of Soil Moisture to Four Rainfall Regimes and Tillage Measures under Natural Rainfall in Red Soil Region, Southern China DOI Open Access

Ziwei Liang,

Xiaoan Chen, Ce Wang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(10), P. 1331 - 1331

Published: May 7, 2024

Investigating the effects of natural rainfall on soil moisture for sloping farmland is extremely important comprehending a variety hydrological processes. Rainfall regimes can elicit different responses to at depth layers, and may differ depending landscape position farmland. This paper utilized surface runoff measured with conventional tillage contour in red area China investigate influence events content evaluate if response results were consistent across four regimes. Natural classified into line duration, amount, maximum 30 min intensity (I30) by k-means clustering method, including advanced, intermediate, uniform delayed The result showed that advanced regime was predominant one study area, which represented 45.9% total events. influenced coefficient tillage, generating highest (5.20% 5.82%) (2.00% 2.05%), respectively. For 0–20 cm increased appreciably when amount larger than 20 mm regime. 20–40 layer 15 mm, while values modified duration antecedent dry day (ADD). A longer had more obvious effect increasing deep soil. At cm, ADD an positive correlation increment moisture, means brief produces compounding event. present underline complexity under two measures suggest significantly affects distinction effectively reduce water loss enhance storage soil, presenting theoretical basis local conservation research management.

Language: Английский

Citations

3

Combining graph neural network and convolutional LSTM network for multistep soil moisture spatiotemporal prediction DOI

Ziwei Pan,

Lei Xu, Nengcheng Chen

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132572 - 132572

Published: Dec. 1, 2024

Language: Английский

Citations

3

Enhanced Variability and Declining Trend of Soil Moisture Since the 1880s on the Southeastern Tibetan Plateau DOI
Lu Wang, Hongyan Liu, Jussi Grießinger

et al.

Water Resources Research, Journal Year: 2023, Volume and Issue: 59(3)

Published: March 1, 2023

Abstract Historical soil moisture (SM) variations, trends, and their driving factors remain scarce for the area of Tibetan Plateau (TP), which hinders putting a sensible assessment current future ecological drought risk into perspective. Here, we report first three century‐long regional summer (July–August) SM reconstruction southeastern TP during 1691–2007 CE using paleoclimate proxy, that is, tree‐ring δ 18 O. The reconstruction, explained 60.9% actual variance, revealed an abrupt wet‐to‐dry change occurred in 1884. After 1884, exhibited decreasing trend enhanced variability, dry summers more frequently. In particular, variability reached unprecedented level after 1950s relative to past centuries. A structural equation model running correlation analysis variation was mainly controlled by precipitation rather than temperature. This indicates anthropogenic‐related weakening Indian monsoon played dominant role changes 1884 increase If is be further increased future, it may undermine ecosystem stability forest health. results this study are significant predicting ecologically vulnerable regions such as High Asia.

Language: Английский

Citations

7

Leaf nutrient traits of planted forests demonstrate a heightened sensitivity to environmental changes compared to natural forests DOI Creative Commons
Xing Zhang, Mengyao Yu,

Jianxiao Su

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: March 18, 2024

Leaf nutrient content (nitrogen, phosphorus) and their stoichiometric ratio (N/P) as key functional traits can reflect plant survival strategies predict ecosystem productivity responses to environmental changes. Previous research on leaf has primarily focused the species level with limited spatial scale, making it challenging quantify variability influencing factors of forest a macro scale. This study, based field surveys literature collected from 2005 2020 384 planted forests 541 natural in China, investigates differences between types (planted forests, forests) driving factors. Results show that (leaf nitrogen (LN), phosphorus (LP), N/P ratio) are significantly higher than those (P< 0.05). The impact climatic soil is greater forests. With increasing age, increase content, significant decrease Climatic dominating traits. They not only directly affect communities but also indirectly through regulation nutrients stand factors, direct effects being more indirect effects.

Language: Английский

Citations

2

Anthropogenic activities dominated the spatial and temporal changes of normalized difference vegetation index (NDVI) in the Hehuang valley in the northeastern Qinghai Province between 2000 and 2020 DOI Creative Commons

Bin Xu,

Xufeng Mao, Xingyue Li

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: April 12, 2024

The Hehuang Valley (HV) is a key development area in the Qinghai Province; understanding changes vegetation within this of great significance if we are to maintain ecological quality regional environment. Based on 30 m spatial resolution Normalized difference index (NDVI) time series dataset, paper analyzes and temporal characteristics evolutionary trends NDVI HV from 2001 2020 under influences climate change human activities, by applying Mann-Kendall trend analysis, Hurst index, residual analysis. Analysis showed that firstly, high values (>0.5) were distributed low elevation areas except for towns cropland, while (<0.5) mainly regions; exhibited an increasing over study period. Second, activities promoted growth changing land-use types, although there risk degradation future. Third, proportion affected was determined be 87.24% HV; furthermore, contribution three-fold higher than change. Fourth, managers should scientifically manage grasslands forests implement specific anthropogenic interventions based degradation, improve ecosystem resilience. These results can used quantitatively analyze relative contributions natural factors HV, provide reference guidelines management environments.

Language: Английский

Citations

2

Light thinning effectively improves forest soil water replenishment in water-limited areas: Observational evidence from Robinia pseudoacacia plantations on the Loess Plateau, China DOI
Xia Liu, Lei Jiao, Dong Cheng

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 637, P. 131408 - 131408

Published: May 24, 2024

Language: Английский

Citations

2

Using singular spectrum analysis and empirical mode decomposition to enhance the accuracy of a machine learning-based soil moisture forecasting algorithm DOI
Eduart Murcia, Sandra M. Guzmán

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 224, P. 109200 - 109200

Published: July 13, 2024

Language: Английский

Citations

2