International Soil and Water Conservation Research最新文献_第3页

Inorganic amendments increase soil carbon sequestration across global acidic agroecosystems: A meta-analysis 无机修正增加了全球酸性农业生态系统的土壤碳固存：一项荟萃分析

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2025-09-24 DOI: 10.1016/j.iswcr.2025.09.009

Tianfu Han , Zhe Shen , Kailou Liu , Jing Huang , Muhammad Numan Khan , Minggang Xu , Huimin Zhang , Andong Cai

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.

无机改良剂，包括石灰、石膏和钙基土壤调节剂，广泛用于缓解土壤酸化、提高养分有效性和提高作物生产力。然而，它们对土壤有机碳（SOC）的影响在全球范围内仍不一致且不完全量化。为了评估无机修正对酸性农业生态系统有机碳动态和作物生产力的全球影响，我们通过荟萃分析分析了269个独立田间试验的数据，包括6034个观测值。结果表明，无机修正显著提高土壤有机碳浓度，平均提高2.8%，作物产量提高14.6%。土壤有机碳变化受作物类型、持续时间、初始有机碳、CaO输入和干旱指数的影响。轮作和复合改良对提高有机碳水平至关重要。施用无机改良剂对化学施肥土壤比施用有机肥土壤更有效地提高有机碳含量。这两种肥料类型之间关键因子的变化突出了土壤养分水平和微生物活性在碳循环中的重要性。土壤有机碳响应比（RR）与产量响应比（RR）呈正相关，表明增加有机碳可以提高土壤生产力。总体而言，无机修正是增加酸性农业生态系统中土壤固碳的可行管理策略，对于预测即将到来的全球酸化情景中的碳反馈至关重要。

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引用次数: 0

Soybean yield in response to soil erosion under different dry and wet conditions 不同干湿条件下大豆产量对土壤侵蚀的响应

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2025-08-29 DOI: 10.1016/j.iswcr.2025.08.009

Yun Xie , Chuan Liu , Jie Tang , Shuang Li

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.

土壤侵蚀导致土壤厚度和肥力下降，威胁到全球农业生产力。然而，在不同降雨条件下，不同侵蚀程度对作物产量的影响尚不清楚。本研究收集了122个不同等级农田的土壤厚度样本，研究了黑土厚度与大豆产量的关系。利用2011-2019年大豆观测产量数据和1951-2019年ALMANAC模型模拟产量，评估不同降雨条件下土壤厚度对产量的影响。结果表明：坡度最陡的坡地中部侵蚀最严重，黑土最薄，为31.9 cm；坡地底部为泥沙淤积区，黑土最厚，为47.8 cm；等高线耕作有效地减少了土壤侵蚀，土壤产生量是上下坡和跨坡耕作的1.5倍和1.3倍。黑土厚度与大豆产量之间存在显著的线性关系，黑土厚度每减少10 cm，产量下降约8.0%。气候变化增加了大豆减产的风险。与典型年份相比，极端干旱和极端潮湿年份的产量分别下降14.3%和5.0%。在正常年和干旱年，粗黑土大豆产量最高，中黑土次之，薄黑土次之，湿润年则相反。厚黑土粘土含量高，砂含量低，在干燥条件下提高了保水能力，但在潮湿条件下增加了内涝风险。相反，土壤侵蚀导致黑土变薄，砂含量高，粘土含量低，这降低了涝渍风险，在极端潮湿条件下提高了产量。这些发现有助于改善土地管理和大豆生产策略。

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引用次数: 0

Can increased cover crop diversity increase root-soil binding and reduce soil loss during overland flow? 覆盖作物多样性的增加能增加根-土结合并减少地上流过程中的土壤流失吗？

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2025-08-29 DOI: 10.1016/j.iswcr.2025.08.010

Cristina McBride-Serrano , Alison J. Karley , Timothy S. George , Ian C. Dodd , John N. Quinton

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 (Secale cereale, Brassica juncea, Vicia faba 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 V. faba having 64 % more root mass than the other species, and treatments containing S. cereale 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.

尽管覆盖作物可以潜在地改善农田水土管理以减少侵蚀，但它们结合土壤的能力以及多物种覆盖作物是否提供额外的好处却很少引起人们的注意。本研究以根鞘质量为指标，评估覆盖作物多样性（黑麦、芥菜、蚕豆作为单一栽培和混合栽培）通过根-土结合变化对土壤流失的影响。采用随机区组设计，地面流模拟（8 L min - 1）测试了不同处理的土壤流失量，并收集土壤岩心进行根鞘和根系测量。在测量之前，从一半的地块中去除芽，以分离根系多样性效应。单个物种的特性，而不是物种多样性，决定了根和根鞘质量，含有蚕豆的处理比其他物种的根质量多64%，含有谷物的处理的根鞘质量比其他处理的根干质量多50%。茎部的存在延迟了径流，但根鞘质量和物种多样性都不影响土壤流失。土壤含沙量、总含沙量和总径流量的块间变化表明，土壤流失量更多地受到土壤结构和水力特性的田间变异的影响。这项工作强调了土壤结构和水力特性的田间变异性如何对侵蚀控制措施的成功产生关键影响，为未来研究和具体地点保护土壤功能策略的实际应用提供了有价值的指导。

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引用次数: 0

Introducing article numbering to International Soil and Water Conservation research 介绍国际水土保持研究的文章编号

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2026-02-20 DOI: 10.1016/j.iswcr.2026.100629

引用次数: 0

Modeling forest road runoff and erosion at multiple temporal scales in Florida panhandle region, USA 美国佛罗里达狭长地带森林道路径流和侵蚀的多时间尺度模拟

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2025-09-18 DOI: 10.1016/j.iswcr.2025.09.007

Jingqiu Chen , Shuyuan Wang , William J. Elliot , Bernard A. Engel , Mariana Dobre , Anurag Srivastava , Feng Pan , Yaoze Liu , Johnny M. Grace III

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.

森林道路是通往森林地区的重要基础设施，但其表面会产生大量径流和沉积物，威胁到道路的完整性和水质。本研究利用水侵蚀预测项目（WEPP）模型，研究了2000 - 2023年佛罗里达狭长地带奇波拉实验森林典型未改良森林道路径流和侵蚀的时间动态。我们在多个时间尺度上——每天、每月和每年——量化了径流和侵蚀，并评估了两种缓解方法的效果：砾石表面和压实的“级配骨料地基”设计。对关键土壤可蚀性参数进行了敏感性分析，并评估了不同降雨重复周期对径流和侵蚀结果的影响。结果表明，降水模式与径流和侵蚀均存在较强的相关性，2013-2023年期间降水增加，相应的年径流和土壤流失量增加。减缓方法大大减少了侵蚀：砾石表面减少了90%以上的侵蚀，而压实表面减少了50%。然而，压实的地表也增加了大约20%的径流，这表明在减少侵蚀和减少径流之间存在权衡。敏感性分析表明，临界剪切力τc、表层土壤有效导水率Ke和细沟可蚀性Kr是影响土壤侵蚀预测的主要参数。径流和侵蚀对降雨重现期也很敏感，重现期较短的风暴主导了年径流和产沙量。这些发现为在气候变化条件下设计和管理森林道路提供了重要见解，并为改善基础设施提供了信息，从而提高道路耐久性，同时最大限度地减少侵蚀及其对环境的影响。

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引用次数: 0

Velocity distribution and hydrodynamic characteristics of overland flow on biocrust-covered slopes 生物覆壳坡面流速度分布及水动力特征

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2025-09-02 DOI: 10.1016/j.iswcr.2025.08.008

Chenxi Dan , Gang Liu , Enshuai Shen , Chang Liu , Qiong Zhang , Zhen Guo , Mohamed Ahmed Mohamed Abd Elbasit , Xining Zhao

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 (α) for overland flow in both the control (CK) and BSC treatments exhibited logarithmic increases with Reynolds number (Re). 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.

生物土壤结皮（BSC）是干旱和半干旱地区常见的地表覆盖物，在调节径流过程中具有重要作用。然而，对BSC表面上的陆地流的水动力特性仍然知之甚少。利用粒子图像测速技术（PIV）对BSC坡面流的速度分布和湍流特征进行了全面分析。结果表明，PIV是一种有效的地表流速度分布观测方法，地表流速度分布可分为粗糙亚层、对数层和外层3个区域。对照（CK）和BSC处理的坡面流速度校正系数（α）均随雷诺数（Re）呈对数递增。与CK的流动特性相比，BSC处理的地表流动增强了近层湍流强度，同时保持了湍流强度的垂直分布。发现坡面流对BSC边坡的水力影响受淹没程度的显著影响。在BSC的高淹没条件下，雷诺兹剪应力是床层剪应力的主要组成部分。本研究旨在阐明平衡计分卡对径流过程的调控机制，并为侵蚀模型的参数化提供必要的信息。

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引用次数: 0

Optimizing water and nutrient application for Caragana korshinskii-based vegetation restoration in coal-mine-degraded arid lands 以柠条为基础的煤矿退化干旱区植被恢复优化水分和养分利用

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2025-09-15 DOI: 10.1016/j.iswcr.2025.09.006

Rana Roy , Tanwne Sarker , Fakhrul Islam Monshi , Jinxin Wang

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 Caragana korshinskii 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 C. korshinskii. These findings provide a practical and sustainable strategy for revegetation of coal-mine-degraded lands and contribute to broader ecological restoration efforts.

煤炭开采导致的生态退化是最严重的问题之一，特别是在中国西北干旱半干旱地区，土壤结构差，含水量低，缺乏养分，阻碍了植被的恢复。在这些环境中，提高水分和养分的利用效率对于成功的植被恢复至关重要，但最佳方案尚不清楚。本研究通过水(W)、氮(N)和磷(P)的组合测定，评价了原生灌木柠条（Caragana korshinskii）作为恢复煤矿破坏地区的候选树种。在低水条件下，植株的株高、茎粗、生物量、光合特性和相对含水量显著降低，而施氮磷肥对植株的影响不大。在水分充足的条件下，氮磷配施显著促进了生长。水和营养限制上调抗氧化酶（超氧化物歧化酶、过氧化氢酶、过氧化物酶和抗坏血酸过氧化物酶），导致氧化损伤减少。结果表明，年供水量约为121 mm，外加54 kg ha - 1 N和55 kg ha - 1 P有利于柠条的生长。这些发现为煤矿退化土地的恢复提供了切实可行的可持续策略，并有助于更广泛的生态恢复工作。

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引用次数: 0

Mapping soil organic carbon as soil health indicator of cocoa landscapes in middle Côte d’Ivoire 土壤有机碳作为可可景观土壤健康指标的测绘Côte科特迪瓦中部

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2025-09-03 DOI: 10.1016/j.iswcr.2025.09.002

Guillaume Kouassi , Kpade Ozias Laurentin Hounkpatin , Ebagnerin Jérôme Tondoh , Lucien Diby , Christophe Kouamé

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.

可可种植区土壤有机碳（SOC）的空间分布是土壤健康状况的重要指标，对环境管理具有重要意义。然而，关于SOC映射的文档工作通常无法用于此类景观。同时，具体的土壤肥力管理和旨在提高可可产量的知识政策的实施也需要空间信息。本研究旨在利用数字土壤制图方法建立可可种植景观表层土壤（0 ~ 20 cm）和底土（20 ~ 50 cm）的土壤有机碳基线图，并探讨其空间分布的影响因素。为此，我们使用了随机森林算法的两种变体，分别考虑了正态随机交叉验证（Random CV）和考虑空间自相关的Leave-Location-Out交叉验证（LLOCV）。我们的研究结果表明，与随机CV相比，考虑LLOCV可以更好地预测SOC含量。土壤有机碳含量的空间变异性主要与海拔高度有关，自然植被较多的高海拔地区土壤有机碳含量高于低海拔地区。然而，两种方法都表明，所研究的可可种植景观中有机碳含量低于2%，低于支持可持续可可生产所需的标准。这些结果表明，需要提高所有可可利益相关者和政策制定者对促进土壤有机质积累的行动的认识，这是提高生产力的一种经济有效的方法。

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引用次数: 0

Assessing the impact of residue cover on hillslope soil loss in the Midwest US: insights from the daily erosion project modeling framework 评估残留物覆盖对美国中西部山坡土壤流失的影响：来自日侵蚀项目建模框架的见解

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2025-08-09 DOI: 10.1016/j.iswcr.2025.08.006

Eduardo Luquin , Daryl Herzmann , Brian Gelder , Richard Cruse

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.

设计区域弹性种植系统需要了解影响作物生产和土壤侵蚀易感性的多种因素在空间和时间上的相互作用。本研究的目的是阐明区域坡地土壤流失与日侵蚀项目（DEP）耕作管理情景之间的关系，并评估坡地土壤流失对这些耕作情景相关的不同田渣覆盖的敏感性。DEP模拟对整个域使用相同的耕作管理方案。情景由DEP （T1 ~ T6）内的6个耕作类别组成，值越高意味着耕作强度越大（残留物越少）。结果表明，在不同的空间尺度上（全国、主要土地资源区和DEP流域），耕作强度（剩余物覆盖较少）与土壤侵蚀率之间存在直接关系。该研究还揭示了整个DEP域的显著空间变异性，确定了沿密苏里河、爱荷华州东部和明尼苏达州的侵蚀易发地区，在许多情景中超过17.9 Mg/ha/年。其他地区没有显示出与增加耕作强度相关的响应，这表明地形、土壤、土地利用和气候等当地因素及其相互作用也可能影响侵蚀。敏感性分析表明，当从免耕向耕制过渡时，土壤残留覆盖的微小变化对土壤侵蚀具有很高的敏感性，特别是在丘陵流域。总体而言，本区域研究强调了残茬覆盖管理和最小土壤扰动对减少坡面侵蚀的重要性，并阐明了景观和管理相互作用在空间变化的区域坡面土壤侵蚀速率中所起的关键作用。

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引用次数: 0

HWGEN: An hourly wind stochastic GENerator HWGEN：每小时风力随机发电机

IF 7.3 1区农林科学 Q1 ENVIRONMENTAL SCIENCES

International Soil and Water Conservation Research

Pub Date : 2026-03-01 Epub Date: 2025-10-21 DOI: 10.1016/j.iswcr.2025.10.005

Hao Wang , Jing Liu , Shuiqing Yin , Huanrui Qiao , Zhengyuan Zhu , Jim W. Hall

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.

极端风速对于风蚀评估和风力发电等应用至关重要。然而，它们的高时空变异性限制了观测和模式在捕捉极端情况时的准确性。本研究开发了逐时风随机发生器（HWGEN），这是一种单站点随机模型，旨在改进对日风和逐时风的模拟，特别是极端事件。HWGEN包括两个版本：同时模拟风速和风向的HWGEN_D和只模拟数据稀疏区域的风速的HWGEN_ND。HWGEN_D利用2000-2020年西北地区388个站点的逐时风速数据，自适应地在Weibull和Gumbel分布之间进行选择，并应用对数正态模式模拟日最大逐时风速（Umax）。与WIND GENerator （WINDGEN）相比，HWGEN_D将风蚀力和风力密度的平均绝对百分比误差分别从72.8%和35.1%降低到36.5%和8.1%。HWGEN_ND性能稍差，但只需要15%的参数。此外，HWGEN重现了观测到的日最大10分钟风速（Dmax）与Umax之间的关系，这是现有模式所缺失的。HWGEN可以随机产生无限长的每小时风序列，提高极端风事件的代表性，增强风蚀和风力发电风险评估。

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引用次数: 0