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Analysis of vegetation coverage changes and driving forces in the source region of the yellow river
Abstract As a significant ecological barrier, the source region of the Yellow River serves as a crucial water source in China, and its vegetation dynamics play a pivotal role in water conservation. Monitoring vegetation dynamics is essential for ecological protection and the achievement of sustainable development goals, as it facilitates systematic assessment of vegetation restoration, supports the advancement of ecological civilization, and promotes coordinated economic and environmental development. Based on the newly released AVHRR GIMMS NDVI3g data from 1982 to 2020 provided by the NASA Goddard Space Flight Center, this study aims to identify the driving mechanisms influencing vegetation dynamics in the source region of the Yellow River over the past 40 years (1982–2020) by utilizing ordered cluster analysis, Pearson correlation analysis, and the Geodetector method. The influence of each driving factor on NDVI was systematically examined, and the spatial and temporal characteristics of vegetation as well as the effects of key drivers were clarified to inform ecological protection and sustainable development strategies. The results indicate that: (1) the overall NDVI in the source region of the Yellow River exhibited a significant upward trend from 1982 to 2020, with a noticeable shift occurring in 2009. Prior to 2009, NDVI demonstrated a slight declining trend, whereas a significant increase was observed afterward; (2) NDVI distribution displayed a spatial gradient, increasing from northwest to southeast, with higher values in the southeast and lower values in the northwest; (3) the interaction between any two driving factors had a more substantial influence on NDVI than individual factors, demonstrating a two-factor enhancement effect. Notably, the interaction between precipitation and temperature with other variables exhibited the strongest explanatory power, with q-values exceeding 0.5. Overall, natural factors such as temperature and precipitation played a crucial role in NDVI variation, and the abrupt change in 2009 may be attributed to regional warming and the implementation of ecological protection measures.
Dynamic margin contrastive learning for open-set recognition in long-tailed sonar imagery
Fractal theory-based analysis of strength degradation in steel slag powder-stabilized soil under chloride ion environment
Power management enhancement and smoothing DC voltage using integrated BESS and SMES in Off-grid hybrid AC/DC microgrid based on ILCs
Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach
The clinical benefit of alveolar ridge preservation in the posterior maxilla: a systematic review and meta-analysis
Seasonal colonisation and ecological succession shape coral reef sessile cryptobenthic communities in Autonomous Reef Monitoring Structures
Exploring electrolyte specific effects on multisheets 2-dimensional Ti3C2Tx-BiFeO3 nanocomposites electrodes for high-performance supercapacitors applications
Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery
g-C3N4-Vitamin B5-Cu@γ-Fe2O3 as a magnetic nano biocomplex photocatalyzed efficient one pot tandem synthesis of benzimidazoles and imines
SIRT1 antisense long noncoding RNA attenuates interleukin-1β-induced osteoarthritic gene expression in human chondrocytes through its mRNA interaction
A refined lion optimizer for deep learning
The influence of meteorological factors and air pollution on acute cardiovascular and cerebrovascular events in Western Guizhou
Microstructure and composition evolution of He charged solid-gas nanocomposite films of different matrix elements during thermal annealing in vacuum
Abstract Sputtering of cobalt, silicon and zirconium in a helium magnetron discharge (MS) is reported as a bottom-up procedure to obtain He-charged films (i.e. 4 He and 3 He filled nanopores encapsulated in the matrix material). Composition and microstructural analyses are presented from ion beam analysis (IBA) and scanning and transmission electron microscopies (SEM and TEM). Helium desorption was investigated by IBA in a dedicated chamber for “in situ” thermal evolution in vacuum. The simultaneous recording of the helium and matrix-element signals shows different behaviors of the different matrix elements (i.e. Co, Si and Zr) and deposition conditions (i.e., DC or RF discharge modes and dynamic or quasistatic vacuum). Effusion, blistering, delamination and flaking have been observed for the different samples leading to the formation of nano-porous/nanostructured thin films. The methodology is being envisaged as a process for nanostructured thin-films fabrication with potential applications.