International Soil and Water Conservation Research最新文献

{"title":"Inorganic amendments increase soil carbon sequestration across global acidic agroecosystems: A meta-analysis","authors":"Tianfu Han ,&nbsp;Zhe Shen ,&nbsp;Kailou Liu ,&nbsp;Jing Huang ,&nbsp;Muhammad Numan Khan ,&nbsp;Minggang Xu ,&nbsp;Huimin Zhang ,&nbsp;Andong Cai","doi":"10.1016/j.iswcr.2025.09.009","DOIUrl":"10.1016/j.iswcr.2025.09.009","url":null,"abstract":"<div><div>Inorganic amendments, including lime, gypsum, and calcium-based soil conditioners, are widespread for soil acidification mitigation, enhancing nutrient availability, and boosting crop productivity. However, their impacts on soil organic carbon (SOC) remain inconsistent and incompletely quantified worldwide. To evaluate the global influence of inorganic amendments on SOC dynamics and crop productivity in acidic agroecosystems, we examined data from 269 independent field experiments, encompassing 6034 observations, via meta-analysis. Our findings indicate that inorganic amendments significantly increased SOC concentration by an average of 2.8 % and crop yield by 14.6 %. These SOC alterations are impacted by crop types, duration, initial SOC, CaO input, and aridity index. Crop rotation and composite amendment are critical for enhancing organic carbon levels. Applying inorganic amendments to chemically fertilized soil is more effective at elevating SOC than when applied to organically fertilized soil. The changes in critical factors between these two fertilizer types highlight the importance of soil nutrient levels and microbial activity in carbon cycling. Moreover, the positive correlation between response ratios (RR) of SOC and RR of yield indicates that enhancing organic carbon can improve soil productivity. Overall, inorganic amendments are a viable management strategy for increasing soil carbon sequestration in acidic agroecosystems and are essential for predicting carbon feedback in upcoming global acidification scenarios.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100577"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soybean yield in response to soil erosion under different dry and wet conditions","authors":"Yun Xie ,&nbsp;Chuan Liu ,&nbsp;Jie Tang ,&nbsp;Shuang Li","doi":"10.1016/j.iswcr.2025.08.009","DOIUrl":"10.1016/j.iswcr.2025.08.009","url":null,"abstract":"<div><div>Soil erosion leads to reductions in soil thickness and fertility, threatening global agricultural productivity. However, the influence of different erosion degrees on crop yield under varying rainfall conditions remains unclear. This study collected 122 soil thickness samples across croplands of different grades to examine the relationship between black soil thickness and soybean yield. The observed soybean yield data (2011–2019) and simulated yields (1951–2019) using the ALMANAC model were used to assess the impact of soil thickness on yield under varying rainfall conditions. Results showed that the middle regions of hillslopes with the steepest gradients experienced the most severe erosion and had the thinnest black soil at 31.9 cm, whereas the bottom regions, as sediment deposition areas, had the thickest black soil at 47.8 cm. Contour tillage effectively reduced erosion, yielding soil thickness 1.5 and 1.3 times greater than those under up-and downslope and cross-slope tillage areas. A significant linear relationship existed between soybean yield and black soil thickness, with a 10 cm reduction in thickness corresponding to a yield decrease of approximately 8.0 %. Climate change increase the risk of soybean yield reductions. Compared with typical years, extreme dry and wet years resulted in yield reductions of 14.3 % and 5.0 %. Thick black soil presented the highest soybean yield in normal and dry years, followed by medium black soil and thin black soil, but this trend was reversed during wet years. The higher clay and lower sand content in thick black soil improved water retention under dry conditions but increased the risk of waterlogging during wet conditions. In contrast, soil erosion led to thinner black soils with higher sand and lower clay content, which reduced waterlogging risk and resulted in higher yields under extreme wet conditions. These findings can contribute to improved land management and soybean production strategies.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100566"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can increased cover crop diversity increase root-soil binding and reduce soil loss during overland flow?","authors":"Cristina McBride-Serrano ,&nbsp;Alison J. Karley ,&nbsp;Timothy S. George ,&nbsp;Ian C. Dodd ,&nbsp;John N. Quinton","doi":"10.1016/j.iswcr.2025.08.010","DOIUrl":"10.1016/j.iswcr.2025.08.010","url":null,"abstract":"<div><div>Although cover crops can potentially improve on-farm soil and water management to reduce erosion, their ability to bind soil and whether multi-species cover crops offer additional benefits has attracted little attention. This study aimed to assess the impact of cover crop diversity (<em>Secale cereale</em>, <em>Brassica juncea</em>, <em>Vicia faba</em> as monocultures and mixtures) on soil loss through changes in root-soil binding using rhizosheath mass an indicator in a silt loam field near Dundee, Scotland. Using a randomized block design, overland flow simulations (8 L min⁻¹) tested soil loss across treatments, and soil cores were collected for rhizosheath and root measurements. Shoots were removed from half of the plots prior to measurements to isolate root diversity effects. Individual species identity, rather than species diversity, determined root and rhizosheath mass, with treatments containing <em>V</em>. <em>faba</em> having 64 % more root mass than the other species, and treatments containing <em>S. cereale</em> having 50 % more rhizosheath mass per unit of root dry mass than others. Shoot presence delayed runoff, but neither rhizosheath mass nor species diversity affected soil loss. Between-block variation in sediment concentration, total sediment and total runoff suggested that soil loss was influenced more by intra-field variability in soil structural and hydraulic properties. This work highlights how intra-field variability in soil structural and hydraulic properties can critically influence the success of erosion control measures, offering valuable guidance for future research and practical application of site-specific strategies for conserving soil function.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100567"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introducing article numbering to International Soil and Water Conservation research","authors":"","doi":"10.1016/j.iswcr.2026.100629","DOIUrl":"10.1016/j.iswcr.2026.100629","url":null,"abstract":"","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100629"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling forest road runoff and erosion at multiple temporal scales in Florida panhandle region, USA","authors":"Jingqiu Chen ,&nbsp;Shuyuan Wang ,&nbsp;William J. Elliot ,&nbsp;Bernard A. Engel ,&nbsp;Mariana Dobre ,&nbsp;Anurag Srivastava ,&nbsp;Feng Pan ,&nbsp;Yaoze Liu ,&nbsp;Johnny M. Grace III","doi":"10.1016/j.iswcr.2025.09.007","DOIUrl":"10.1016/j.iswcr.2025.09.007","url":null,"abstract":"<div><div>Forest roads are critical infrastructure for accessing forested areas, yet their surfaces can generate substantial runoff and sediment that threaten both road integrity and water quality. This study examines the temporal dynamics of runoff and erosion along a typical unimproved forest road at the Chipola Experimental Forest in the Florida Panhandle Region from 2000 to 2023, using the Water Erosion Prediction Project (WEPP) model. We quantified runoff and erosion at multiple temporal scales - daily, monthly, and annual - and evaluated the effects of two mitigation methods: a gravel surface and a compacted “graded aggregate base” design. Sensitivity analyses were performed on key soil erodibility parameters, and the influence of different rainfall recurrence intervals on runoff and erosion outcomes was assessed. The results indicate a strong correlation between precipitation patterns and both runoff and erosion, with increased precipitation observed during the 2013–2023 period corresponding to elevated annual runoff and soil loss. Mitigation methods substantially reduced erosion: gravel surfaces decreased erosion by more than 90 %, while compacted surfaces reduced it by 50 %. However, the compacted surface also increased runoff by approximately 20 %, indicating a trade-off between erosion reduction and runoff mitigation. Sensitivity analysis revealed that critical shear (τ_c), effective hydraulic conductivity of surface soil (K_e), and rill erodibility (K_r) are the most influential parameters for erosion prediction. Runoff and erosion were also found to be sensitive to rainfall recurrence intervals, with storms of lower recurrence intervals dominating annual runoff and sediment yield. These findings offer critical insights for designing and managing forest roads under changing climate conditions and informing infrastructure improvements that enhance road durability while minimizing erosion and its environmental impacts.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100575"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Velocity distribution and hydrodynamic characteristics of overland flow on biocrust-covered slopes","authors":"Chenxi Dan ,&nbsp;Gang Liu ,&nbsp;Enshuai Shen ,&nbsp;Chang Liu ,&nbsp;Qiong Zhang ,&nbsp;Zhen Guo ,&nbsp;Mohamed Ahmed Mohamed Abd Elbasit ,&nbsp;Xining Zhao","doi":"10.1016/j.iswcr.2025.08.008","DOIUrl":"10.1016/j.iswcr.2025.08.008","url":null,"abstract":"<div><div>Biological soil crusts (BSC), commonly distributed as ground cover in arid and semi-arid regions, are recognized for the significant role in regulating runoff yield processes. However, the hydrodynamic properties of overland flow over BSC surface remain poorly understood. A comprehensive analysis of the velocity distribution and turbulent characteristics of overland flow on the BSC slope was conducted and detailed through Particle Image Velocimetry (PIV). The results showed that PIV is an effective method for observing the velocity distribution of overland flow over BSC surface, with flow velocities categorized into three regions: the rough sublayer, logarithmic layer, and outer layer. The velocity correction coefficients (<em>α</em>) for overland flow in both the control (CK) and BSC treatments exhibited logarithmic increases with Reynolds number (<em>Re</em>). In comparison to the flow characteristics of CK, the overland flow of BSC treatment was observed to enhance the intensity of near-bed turbulence while preserving the vertical distribution of turbulent intensity. The hydraulic impacts of overland flow on the BSC slope were found to be significantly influenced by the degree of submergence. Under high submergence conditions of BSC, Reynolds shear stress was identified as the dominant component of bed shear stress. This investigation aimed to elucidate the regulatory mechanisms of BSC on runoff processes and provides essential information for the parameterization of erosion models.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100565"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing water and nutrient application for Caragana korshinskii-based vegetation restoration in coal-mine-degraded arid lands","authors":"Rana Roy ,&nbsp;Tanwne Sarker ,&nbsp;Fakhrul Islam Monshi ,&nbsp;Jinxin Wang","doi":"10.1016/j.iswcr.2025.09.006","DOIUrl":"10.1016/j.iswcr.2025.09.006","url":null,"abstract":"<div><div>Ecological degradation caused by coal mining is one of the most severe problems, especially in arid and semi-arid areas of northwestern China, where poor soil structure, low water content, and lack of nutrients obstruct vegetation restoration. Improving water and nutrient use efficiency is essential for successful revegetation in these environments, yet optimal regimes remain unclear. In this study, we evaluated the native shrub <em>Caragana korshinskii</em> as a candidate species for restoring coal mine-damaged areas by testing combinations of water (W), nitrogen (N), and phosphorus (P) supply. Under low-water regimes, plants exhibited marked reductions in height, stem diameter, biomass, photosynthetic traits, and relative water content, while N-P fertilization offered little benefit. When sufficient water was available, the combined application of N and P significantly enhanced growth. Water and nutrient limitation upregulated antioxidant enzymes (superoxide dismutase, catalase, peroxidase, and ascorbate peroxidase), leading to reduced oxidative damage. Our results indicate that supplying approximately 121 mm of water per year along with 54 kg ha⁻¹ N and 55 kg ha⁻¹ P optimizes the growth of <em>C. korshinskii</em>. These findings provide a practical and sustainable strategy for revegetation of coal-mine-degraded lands and contribute to broader ecological restoration efforts.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100574"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping soil organic carbon as soil health indicator of cocoa landscapes in middle Côte d’Ivoire","authors":"Guillaume Kouassi ,&nbsp;Kpade Ozias Laurentin Hounkpatin ,&nbsp;Ebagnerin Jérôme Tondoh ,&nbsp;Lucien Diby ,&nbsp;Christophe Kouamé","doi":"10.1016/j.iswcr.2025.09.002","DOIUrl":"10.1016/j.iswcr.2025.09.002","url":null,"abstract":"<div><div>The spatial distribution of soil organic carbon (SOC) in cocoa-growing landscapes is a vital indicator of soil health and essential for environmental management. However, documented work on the mapping of SOC is often unavailable for such landscape. At the same time, spatial information is required for specific soil fertility management and the implementation of knowledge-based policies that aim at increasing cocoa production. This study aimed to establish baseline SOC maps in cocoa-growing landscape for topsoil (0–20 cm) and subsoil (20–50 cm) and investigate underlying factors for its spatial distribution using a digital soil mapping approach. For that purpose, two variants of the Random Forest algorithm were used, considering the normal random cross-validation (random CV) and the Leave-Location-Out cross-validation (LLOCV), which accounts for spatial autocorrelation. Our findings revealed that SOC content was better predicted by considering LLOCV compared to random CV. The spatial variability of SOC content was primarily related to elevation at all depths, with areas with more natural vegetation located at high altitude having higher SOC content than lower regions. However, both methods indicate that SOC content in the studied cocoa-growing landscapes is less than 2 %, which is below the standard required for supporting a sustainable cocoa production. These results put forward the need to increase the awareness among all cocoa stakeholders and policymakers towards actions that promote the building up of soil organic matter as a cost-effective way to boost productivity.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100570"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the impact of residue cover on hillslope soil loss in the Midwest US: insights from the daily erosion project modeling framework","authors":"Eduardo Luquin ,&nbsp;Daryl Herzmann ,&nbsp;Brian Gelder ,&nbsp;Richard Cruse","doi":"10.1016/j.iswcr.2025.08.006","DOIUrl":"10.1016/j.iswcr.2025.08.006","url":null,"abstract":"<div><div>Designing regionally resilient cropping systems requires understanding the interactions of multiple factors important to crop production and soil erosion-susceptibility both spatially and temporally. The objectives of this study were to elucidate the relationships between regional hillslope soil loss and Daily Erosion Project (DEP) tillage management scenarios and assess the sensitivity of hillslope soil loss to different field residue covers associated with these tillage scenarios. DEP simulations used the same tillage management scenario for the entire domain. Scenarios consisted of the six tillage categories within DEP (T1 to T6), with increasing values implying more intense tillage (less residue). Results indicated a direct relationship between tillage intensity (less residue cover) and higher erosion rates at different spatial scales (statewide, major land resource areas [MLRA], and DEP watersheds). The study also revealed a significant spatial variability across the DEP domain, identifying erosion-prone regions along the Missouri River and eastern Iowa and Minnesota, surpassing in many scenarios 17.9 Mg/ha/yr. Other areas showed no response associated with increasing tillage intensity, demonstrating how local factors such as topography, soil, land use, and climate and their interaction could also affect erosion. The sensitivity analysis uncovered a very high erosion sensitivity to small changes in residue cover, especially in hilly watersheds, while transitioning from no-till to tilled systems. Overall, this regional study underscores the importance of residue cover management and minimal soil disturbance in reducing hillslope erosion and illustrates the critical role landscape and management interactions play in spatially variable regional hill slope soil erosion rates.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100563"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HWGEN: An hourly wind stochastic GENerator","authors":"Hao Wang ,&nbsp;Jing Liu ,&nbsp;Shuiqing Yin ,&nbsp;Huanrui Qiao ,&nbsp;Zhengyuan Zhu ,&nbsp;Jim W. Hall","doi":"10.1016/j.iswcr.2025.10.005","DOIUrl":"10.1016/j.iswcr.2025.10.005","url":null,"abstract":"<div><div>Extreme wind speeds are vital for applications such as wind erosion assessment and wind power generation. However, their high spatial and temporal variability limits the accuracy of observations and models in capturing extremes. This study develops the Hourly Wind stochastic GENerator (HWGEN), a single-site stochastic model designed to improve the simulation of daily and hourly wind, particularly extreme events. HWGEN includes two versions: HWGEN_D, which simulates both wind speed and direction, and HWGEN_ND, which simulates only wind speed for data-sparse regions. Using hourly data from 388 stations in northwest China (2000–2020), HWGEN_D adaptively selects between Weibull and Gumbel distributions for daily wind speed and applies a lognormal model to simulate daily maximum hourly wind (U_max). Compared with WIND GENerator (WINDGEN), HWGEN_D reduces mean absolute percentage errors in wind erosion force and wind power density from 72.8 % to 36.5 % and from 35.1 % to 8.1 %, respectively. HWGEN_ND performs slightly worse but requires only 15 % of the parameters. Moreover, HWGEN reproduces the observed relationship between daily maximum 10-min wind speed (D_max) and U_max, missing in existing models. HWGEN can stochastically generate infinitely long hourly wind sequences, improving the representation of extreme wind events and enhancing wind erosion and wind power risk assessments.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"14 1","pages":"Article 100589"},"PeriodicalIF":7.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}