Research in Cold and Arid Regions最新文献

{"title":"Synergistic effects and influencing factors of reducing atmospheric pollutants and carbon dioxide emissions in China","authors":"HengJi Li,&nbsp;Peng Meng,&nbsp;Tek Narayan Maraseni,&nbsp;Dai Wang,&nbsp;ChenYu Lu,&nbsp;JianSheng Qu","doi":"10.1016/j.rcar.2025.06.007","DOIUrl":"10.1016/j.rcar.2025.06.007","url":null,"abstract":"<div><div>Atmospheric pollutants and greenhouse gases, such as carbon dioxide share common roots, sources, and processes. Promoting the synergistic reduction of carbon dioxide and air pollutants offers numerous environmental and health benefits. Based on atmospheric pollutant and carbon emission data from 285 cities in China and seven regional perspectives between 2000 and 2020, this study employs Geographic Information System (GIS) technology to analyze the current status of carbon and pollution. The coupling coordination degree model and Geographically and Temporally Weighted Regression (GTWR) model are used to measure the synergistic status and influencing factors of atmospheric pollutant and carbon emission reduction. The results indicate that: (1) from 2000 to 2020, atmospheric pollutants and carbon emissions in 285 Chinese cities initially increased and then decreased, with higher levels in coastal regions compared to inland areas. (2) The coordination of atmospheric pollutant and carbon emission reduction in Chinese cities is generally low, with mild to moderate imbalance. However, the overall coordination level shows a gradual upward trend, with a spatial distribution pattern of higher levels in the east and north, and lower levels in the west and south. (3) Since 2010, China's synergistic reduction strategies for atmospheric pollutants and carbon dioxide have transitioned their core focus from air pollution control to carbon dioxide mitigation, with a spatial gradient decreasing from the southeastern coast to the northwestern inland regions. Carbon reduction is a key focus for future ecological and environmental governance in China. (4) Total energy consumption, energy consumption intensity, employment in the secondary industry, and the proportion of secondary industry value added to regional GDP inhibit the synergistic reduction of atmospheric pollutants and carbon dioxide, with energy consumption intensity being the primary inhibitory factor. Built-up area green coverage, per capita GDP, and the proportion of science and technology expenditure in local general public budgets promote the synergistic reduction, with the proportion of science and technology expenditure being the primary promoting factor. Urbanization rate exhibits a reverse inhibitory effect in eastern China and a positive promoting effect in western China.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 3","pages":"Pages 284-297"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148573248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Satisfaction of herdsmen with the Grassland Ecological compensation policy and its influencing factors in typical pastoral areas of Qilian Mountains","authors":"Rui Liu,&nbsp;NaiAng Wang,&nbsp;HongYi Cheng,&nbsp;YiPeng Wang,&nbsp;Hang Zhao","doi":"10.1016/j.rcar.2025.05.004","DOIUrl":"10.1016/j.rcar.2025.05.004","url":null,"abstract":"<div><div>Research on grassland ecological compensation is highly significant for promoting grassland ecosystem protection and realizing sustainable development of regional animal husbandry. Herdsmen's satisfaction with the grassland ecological compensation policy has, to a certain extent, improved the compensation policy and performance. A total of 197 herdsmen were selected from three typical pastoral areas in the Qilian Mountains: Maozang Township, Huangcheng Town, and Yeniugou Township. Combined with questionnaire surveys and in-depth interviews, an ordered logistic model was constructed to analyze the influence of relevant factors on satisfaction. The results indicate that 45.1% of the surveyed herdsmen are “relatively satisfied” and “very satisfied” with the compensation policy. Actual inventory, changes in household income, and their agreement to ecological migration have significantly negative impacts on the satisfaction of the surveyed herdsmen, while gender, age, contracted grassland area, and changes in employability indicate no significant impact. To effectively implement the grassland policy and improve the livelihood of herdsmen, it is necessary to accelerate the perfection of the mechanism design of the grassland ecological compensation policy and formulate differentiated grassland ecological compensation standards.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 3","pages":"Pages 237-244"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148573247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sentinel 1A data-based glacier facies identification, mass balance and its response to climate change: A focus on benchmark glaciers of the North Western Himalaya","authors":"Ajay Kumar Taloor,&nbsp;Gurnam Parsad,&nbsp;Akash Basotra,&nbsp;Sanchayita Das,&nbsp;Shiwalika Sambyal,&nbsp;Varun Khajuria,&nbsp;Girish Ch Kothyari,&nbsp;Ashutosh Tiwari,&nbsp;Mehnaz","doi":"10.1016/j.rcar.2025.06.001","DOIUrl":"10.1016/j.rcar.2025.06.001","url":null,"abstract":"<div><div>This study presents an eight-year (2016–2023) analysis of Northwestern Himalayan benchmark glaciers using Sentinel-1A dual-polarized Synthetic Aperture Radar (SAR) data and a refined linear decision rule-based classification model to delineate glacial zones during ablation periods, enabling transient snowline detection and empirical Glacier Mass Balance (GMB) estimation. The average GMB for the Gangotri glacier was found to be −0.77 m water equivalent (m w.e.), Baspa −0.71 m w.e. Yamnotri −0.69 m w.e., Bara Shigri −0.07 m w.e., Thajwas −0.09 m w.e., and Durung-Drung −0.0049 m w.e. for the 2016–2023 period. The Equilibrium Line Altitudes (ELAs) were derived from the snowlines, upto to the end of ablation period, and further used to compute GMB alongside Accumulation Area Ratios (AARs), with associated uncertainties quantified. Correlation analysis incorporating land surface temperature during ablation and annual precipitation provided insights into the climatic drivers of GMB variability across the region.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 3","pages":"Pages 208-225"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148588854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Freeze-thaw damage continuous constitutive of modified asphalt mixture based on the MMF model","authors":"Shuai Mao,&nbsp;ShaoLong Jie,&nbsp;ZuRun Yue,&nbsp;TianFei Hu,&nbsp;CaoLin Qing,&nbsp;ZhongAng Zhai,&nbsp;ChenPeng Miao","doi":"10.1016/j.rcar.2025.07.005","DOIUrl":"10.1016/j.rcar.2025.07.005","url":null,"abstract":"<div><div>A modified asphalt mixture was prepared using polystyrene-butadiene-styrene block copolymer (SBS) and waste tire rubber powder (WTRP), with the asphalt mixture ratio optimized based on the particle accumulation theory and the particle interference effect. Considering the impact of freeze-thaw cycles (FTC), the evolution of the stress–strain relationship about the material was analyzed from various perspectives, including strength deterioration and freeze-thaw damage, using the splitting strength tests. A unified calculation model for strength deterioration was developed using a single logarithmic coordinate transformation, effectively capturing the strength degradation behavior of asphalt mixtures under FTC while minimizing test errors in coarse-grained mixtures. The results showed that: (1) After 30 freeze-thaw cycles, the matrix asphalt mixture exhibited the highest strength loss rate of 45.08%. (2) The SBS/WTRP-modified asphalt mixture with AC-16C grading showed the lowest freeze-thaw strength degradation rate, reduced to 47.59% of the pre-modification rate. (3) A continuous damage constitutive relationship for asphalt mixtures considering FTC was established based on the Morgan–Mers–Flodin (MMF) model and the strain equivalence principle. Using data from the first 20 freeze-thaw strength deterioration tests, the model could predict strength deterioration curves for 25 and 30 FTC. This study aims to investigate the SBS/WTRP-modified asphalt mixtures and establish a continuous damage constitutive model based on the MMF model to predict long-term performance under FTC.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 3","pages":"Pages 197-207"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148588853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are area changes the primary indicator for predicting glacial lake outburst Risks?——A case study of the HMA region","authors":"ZhiJuan Tian ,&nbsp;XiaoJun Yao ,&nbsp;Cong Zhang ,&nbsp;HongYu Duan ,&nbsp;Juan Zhang ,&nbsp;Qin Ma","doi":"10.1016/j.rcar.2025.03.005","DOIUrl":"10.1016/j.rcar.2025.03.005","url":null,"abstract":"<div><div>Glacial lake outburst floods (GLOFs) have received substantial attention owing to their catastrophic potential. Thus, accurate susceptibility assessments are crucial for disaster prevention and mitigation. These assessments primarily depend on the characteristics of glacial lakes and their surrounding environments. While some studies highlight glacial lake area expansion as a key indicator, quantitative analyses remain limited. This study investigates 94 reported GLOF events in High Mountain Asia (HMA) since 1998, confirming 40 precise events through literature review, remote sensing imagery, and geomorphological analysis. By constructing year-by-year boundary data for these 40 glacial lakes and analyzing their area changes, we identified three key findings: (1) Relationship between lake size and outburst frequency: Smaller lakes are more prone to outbursts. The mean glacial lake area was 0.25 km², with 42.5% being &lt;0.1 km² and only 2.5% &gt;1 km². (2) Complex area change patterns: Area changes before outbursts were categorized into four types: expanding, stable, shrinking, and fluctuating. Notably, 45% of lakes showed expansion trends, while 15.56% exhibited significant shrinkage. (3) Regional differences in susceptibility: In the Himalayas, pre-outburst area changes were highly variable, making area growth an unreliable indicator of GLOF susceptibility. Conversely, lakes in the Nyainqentanglha Mountains were either stable or expanding before outbursts, suggesting that continuous expansion could serve as a potential trigger and warrants close monitoring. These findings underscore the need for comprehensive, region-specific approaches to GLOF risk assessment, emphasizing the complexity of area changes and the importance of tailored monitoring strategies.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 120-129"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of ecological vulnerability in Xinjiang Uygur Autonomous Region, China","authors":"Yue Liu ,&nbsp;Hui Tao ,&nbsp;Jie Zhu ,&nbsp;Sanjit Kumar Mondal ,&nbsp;Zulfiyor Bakhtiyorov","doi":"10.1016/j.rcar.2025.02.009","DOIUrl":"10.1016/j.rcar.2025.02.009","url":null,"abstract":"<div><div>Since the Mid-20th century, the impact of global change on regional ecology has become increasingly significant, especially in the aspects of climate change and land use change. The Xinjiang Uygur Autonomous Region, located in the arid and semi-arid areas of northwest China, represents a typical ecologically vulnerable region. This study focuses on Xinjiang by incorporating temperature and precipitation variability into the ecological vulnerability assessment framework using the Pressure-State-Response (PSR) model. The objective of this study was to assess the ecological vulnerability of Xinjiang from 2000 to 2020 and analyze the driving mechanisms behind these changes. The findings reveal a spatial distribution of ecological vulnerability in Xinjiang. From 2000 to 2020, the ecological vulnerability in Xinjiang initially increased and then decreased, with an upward trend from the northwest to the southeast. It reflects the differences in the natural environment and human activities among different regions, and region-specific ecological protection and restoration measures should be implemented based on the characteristics of each region. From 2000 to 2010, 36% of the study area has witnessed an increasing vulnerability while the percent was 25.3% for areas with decreasing vulnerability from 2010 to 2020. Xinjiang's ecosystems are sensitive to climate change, with influencing factors including temperature and precipitation variability, accumulated temperature (≥10 °C), annual precipitation, Aridity Index (AI), and Fractional Vegetation Cover (FVC).</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 167-177"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diversity and pathogenic potential of fungal communities along elevational gradients in the Everest Glacier","authors":"Tong Ma ,&nbsp;XinYue Wang ,&nbsp;ZhiYuan Chen ,&nbsp;YeTeng Xu ,&nbsp;Wei Zhang ,&nbsp;Tuo Chen ,&nbsp;GuangXiu Liu ,&nbsp;JunMing Guo ,&nbsp;ShanJia Li ,&nbsp;BingLin Zhang","doi":"10.1016/j.rcar.2025.05.003","DOIUrl":"10.1016/j.rcar.2025.05.003","url":null,"abstract":"<div><div>Fungi are a critical member of glacier microbial communities, driving organic matter decomposition, nutrient cycling, and forming symbiotic interactions that help sustain ecosystem stability in extreme conditions. However, the diversity, distribution characteristics, and pathogenic potential of fungal communities in high-altitude glaciers remain poorly understood. In this study, we used Illumina high-throughput sequencing to characterize fungal communities across different elevations of the East Rongbuk Glacier on Mount Everest. A total of 8 phyla, 31 classes, 77 orders, 144 families, 215 genera, and 273 species were identified. The phylum Ascomycota predominated across all elevations. Alpha diversity indices, including Chao1 and Shannon indices, revealed no clear trend with altitude, though beta diversity analyses indicated that geographical factors–latitude, longitude, and altitude–significantly shaped community structure. Canonical correspondence analysis (CCA) and heatmap correlations further demonstrated that environmental variables such as electrical conductivity, total dissolved solids, and nutrient levels were closely associated with specific fungal taxa. Potential pathogenic fungi, such as <em>Basidiobolus microsporus</em> and <em>Fusarium</em>, were identified, suggesting their adaptability to extreme environments and potential health risks. The findings highlight both the ecological significance of fungal communities in glacier ecosystems and the possible implications of climate-induced environmental changes, offering a foundation for future research on the impacts of climate change on glacial biodiversity and public health.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 178-186"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Qppq method for streamflow prediction in ungauged basins: Study case of Ouzoud basin in Morocco","authors":"Zilali Abdessamad ,&nbsp;Larabi Abdelkader ,&nbsp;Ajdor Youssef","doi":"10.1016/j.rcar.2025.07.002","DOIUrl":"10.1016/j.rcar.2025.07.002","url":null,"abstract":"&lt;div&gt;&lt;div&gt;As a result of no direct measurement data, accurate stream flow prediction in ungauged basins has remained a challenge in water resource management and flood forecasting. To meet this challenge, advanced hydrological models can be integrated with remote sensing and machine learning techniques. Hydrological models are used to understand the dynamics of streamflow patterns while remotely sensed information provides real-time information on land surface conditions as well as weather parameters thus enhancing the accuracy of these models. Using classical approaches, machine learning methods enable the analysis of complex datasets to detect interrelations or patterns that may not be obvious. Therefore, an integrated approach is crucial for improving flow predictions in ungauged basins that ultimately support effective water management and flood mitigation strategies.&lt;/div&gt;&lt;div&gt;This can become even more complicated with climate change as shown by Morocco's high sensitivity to irregular rainfall patterns brought about by climate variations. One such place is the Ouzoud watershed, which stretches 315.6 km&lt;sup&gt;2&lt;/sup&gt; across Central High Atlas Mountains and is characterized by frequent flooding leading to socio-economic impacts. This study aims at assessing streamflow prediction methods particularly the Quantile-Quantile Plot (QPPQ) method endorsed by USGS for its applicability in predicting streamflow at ungauged locations.&lt;/div&gt;&lt;div&gt;The study area includes both gauged and ungauged watersheds such as the Bernat River, Lakhdar River, Ghassaf River, and Tassaouet River, with Ouzoud River being the only ungauged basin. The geological setting is characterized by carbonate rocks (limestone) throughout the catchment. Mediterranean climate mountainous conditions prevail in this region that experience significant rainfall variations. Other watersheds within the survey site are those of Tassaout and Bernat which have different geological and climatic influences on streamflow patterns.&lt;/div&gt;&lt;div&gt;The QPPQ method entails estimating the Flow Duration Curve (FDC) for the catchment of interest, identifying matching donor sites in terms of hydrological characteristics, transferring non-excessive probabilities from these donor sites and mapping these probabilities to streamflow estimates. The performance of the QPPQ method is assessed based on several statistical criteria including Correlation Coefficient (CC), Coefficient of Determination (R&lt;sup&gt;2&lt;/sup&gt;), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Nash-Sutcliffe Efficiency (NSE), and Kling-Gupta Efficiency (KGE). For instance, the CC value of 0.55 at Bernat River Sgatt station means that there exists a moderate linear relationship between predicted and observed streamflows while &lt;em&gt;R&lt;/em&gt;&lt;sup&gt;2&lt;/sup&gt; value at 0.36 indicates that about 36 % of the explained variation in observed flow is covered by predicted ones. Meanwhile, MAE=22.50 mirrors an average absolute prediction error while RMSE equal","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 146-158"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen and phosphorus allocation strategy among dominant species' major organs in desert grassland","authors":"JianNan Lu ,&nbsp;XueYong Zhao ,&nbsp;YuQiang Li","doi":"10.1016/j.rcar.2025.02.008","DOIUrl":"10.1016/j.rcar.2025.02.008","url":null,"abstract":"<div><div>Allometric allocation of limiting nutrient elements at the organ level is a crucial strategy for plants to adapt to environmental changes. However, our understanding of intra- and inter-organ allocation patterns of nitrogen (<em>N</em>) and phosphorus (<em>P</em>) in desert grassland plants remains limited. A one-year pot experiment (June 2020 to August 2021) was conducted to investigate the <em>N</em>–<em>P</em> allometric scaling relationships within and between plant organs of dominant shrubs and herbaceous species cultivated in two soil types: desert eolian sand soil (DESS) and brown calcic soil (BCS). The results indicated that, overall, the leaves of both shrubs and herbaceous plants exhibited higher <em>N</em> and <em>P</em> contents compared to other plant organs. Notably, under BCS conditions, fine roots of <em>Ammopiptanthus mongolicus</em> exhibited higher <em>P</em> content than leaves. For shrubs, <em>N</em> content in leaves changes faster than <em>P</em> content, while in other organs, <em>P</em> content increased faster than N content. The <em>N</em>–<em>P</em> allometric exponents for herbaceous leaves and roots were 0.47 and 0.56, respectively. Additionally, <em>N</em> and <em>P</em> contents in shrub leaves and fine roots were linearly positively correlated with soil total <em>N</em> and <em>P</em> contents. Generally, changes in soil type from DESS to BCS did not alter the <em>N</em>–<em>P</em> allometric scaling relationships within specific plant organs but did affect the <em>N</em> and <em>P</em> allocation in shrub fine roots. These findings enhance our understanding of <em>N</em> and <em>P</em> allocation strategies within and between major organs of desert plants.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 159-166"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of river vegetation on sediment transport and erosion mitigation: A review","authors":"Mohd Nadim Ahmed,&nbsp;Berlin Mohanadhas","doi":"10.1016/j.rcar.2025.07.001","DOIUrl":"10.1016/j.rcar.2025.07.001","url":null,"abstract":"<div><div>Natural river systems are essential for conveying water, sediments, and organic material from upstream catchments to downstream reaches. One of the key processes influencing channel morphology is bedload transport, defined by the movement of coarse sediments on the channel bed. Vegetation within channels significantly modifies bedload dynamics, offering both obstructive and supportive effects on sediment transport processes. This review synthesizes current understanding of how instream vegetation governs sediment mobility and erosion control by integrating insights from hydraulic, geomorphic, and ecological perspectives. The analysis highlights how vegetation influences flow structure and shear stress distribution, and examines its role in enhancing sediment capture, deposition, and stabilization. The review also considers how vegetation shapes channel morphology and supports bar formation. In addition, it explores the feedback loops connecting vegetation, hydraulic forces, and bedload transport. Finally, key research gaps are identified, with suggested future directions to improve understanding of vegetation and bedload interactions within natural river channels.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 101-105"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}