International Soil and Water Conservation Research最新文献

Novel deep learning algorithm in soil erodibility factor predicting at a continental scale 大陆尺度土壤可蚀性因子预测的深度学习新算法

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: 2025-09-23 DOI: 10.1016/j.iswcr.2025.09.008

Ataollah Shirzadi , Himan Shahabi , Maryam Rahimzad , Aryan Salvati , Abolfazl Jaafari , Victoria Kress , Panos Panagos

Soil erosion poses significant environmental and economic challenges, adversely affecting soil fertility and global agricultural productivity. We developed a novel model based on the Multi-Head Squeeze-and-Excitation Residual One-Dimensional Convolutional Neural Network (MH-SE-Res1DNet) to predict the soil erodibility factor (K) across Europe, representing the first application of this model for such a purpose worldwide. We conducted a comparative analysis using five benchmark machine learning algorithms, i.e., Random Forest (RF), Artificial Neural Network–Multilayer Perceptron (ANN-MLP), Support Vector Regression (SVR), Alternating Model Tree (AMT), and Pace Regression (PR), to assess the efficacy of our model. The results showed that the MH-SE-Res1DNet deep learning model had an outstanding ability for the K prediction. The model's lowest error (MAE = 0.0025, RMSE = 0.0031) and highest coefficient of determination (R² = 0.943) were attained during the validation phase. Benchmark models demonstrated lower performance compared to the MH-SE-Res1DNet model, with R² values ranging from 0.880 to 0.912 and slightly higher errors across MAE and RMSE metrics. The sensitivity analysis of MH-SE-Res1DNet showed that its performance depends predominantly on key soil factors, particularly topsoil texture (M) and organic matter (OM) concentration. This model establishes a data-driven framework that significantly advances soil erodibility prediction by leveraging machine learning. It surpasses traditional methods and existing machine learning approaches in accuracy, efficiency, and scalability, setting a new benchmark for soil conservation planning and enabling adaptable, evidence-based land management strategies across Europe and worldwide.

土壤侵蚀带来了重大的环境和经济挑战，对土壤肥力和全球农业生产力产生不利影响。我们开发了一个基于多头挤压-激励残余一维卷积神经网络（MH-SE-Res1DNet）的新模型来预测整个欧洲的土壤可蚀性因子(K)，这是该模型在全球范围内的首次应用。我们使用随机森林（RF）、人工神经网络多层感知器（ANN-MLP）、支持向量回归（SVR）、交替模型树（AMT）和速度回归（PR）五种基准机器学习算法进行了比较分析，以评估我们的模型的有效性。结果表明，MH-SE-Res1DNet深度学习模型具有较好的K预测能力。验证阶段模型误差最小（MAE = 0.0025, RMSE = 0.0031），决定系数最高（R2 = 0.943）。与MH-SE-Res1DNet模型相比，基准模型表现出较低的性能，R2值从0.880到0.912不等，MAE和RMSE指标的误差略高。MH-SE-Res1DNet的敏感性分析表明，其性能主要取决于关键土壤因子，特别是表层土壤质地(M)和有机质（OM）浓度。该模型建立了一个数据驱动的框架，通过利用机器学习显著推进土壤可蚀性预测。它在准确性、效率和可扩展性方面超越了传统方法和现有的机器学习方法，为土壤保持规划设定了新的基准，并在欧洲和全球范围内实现了适应性强、以证据为基础的土地管理战略。

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引用次数: 0

Convolutional neural networks-driven bias correction of satellite precipitation improves rainfall-runoff-inundation modeling 卷积神经网络驱动的卫星降水偏差校正改进了降雨-径流-淹没模型

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: 2025-09-04 DOI: 10.1016/j.iswcr.2025.09.003

Oudom Satia Huong , Xuan-Hien Le , Linh Nguyen Van , Giha Lee , Ty Sok

A convolutional neural network (CNN)-based framework is developed to address systematic biases inherent in satellite precipitation products. The CNN-based model generated a bias-corrected gridded precipitation dataset across Cambodia between 0.05° grid resolution from the Climate Hazards Infrared Precipitation with Station data (CHIRPS) for 24 years (1985–2008). Then, this study coupled these two datasets, the CHIRPS and Corrected-CHIRPS dataset, into the Rainfall-Runoff-Inundation (RRI) model to replicate river discharge and flood inundation in the Tonle Sap Lake Basin (TSLB). With better spatial and temporal correlations, this study observed significant bias reduction with the KGE(RMSE) values from 0.04 (715.97 mm) in 2007 to 0.87 (170.03 mm) decreased by 76 %, and from 0.07 (510.06 mm) in 2008 to 0.87 (152.80 mm) decreased by 70 %. Additionally, the accuracy of the RRI model improved during the simulation period (2000–2008) at all five stations (S1-S5); on average, NSE, RSR, and R² were 0.73 (0.85), 51.69 (37.81), and 0.78 (0.88) for CHIRPS (Corrected CHIRPS), respectively. A CNN-based approach for a more accurate and contemporary precipitation dataset is presented to benefit Cambodia's hydrological modeling and flood response strategies.

开发了基于卷积神经网络（CNN）的框架来解决卫星降水产品固有的系统偏差。基于cnn的模型生成了柬埔寨24年（1985-2008）气候灾害红外降水站数据（CHIRPS） 0.05°网格分辨率的偏置校正网格化降水数据集。然后，将CHIRPS数据集和校正后的CHIRPS数据集耦合到降雨-径流-淹没（RRI）模型中，模拟洞里萨湖流域（TSLB）的河流流量和洪水淹没。KGE（RMSE）值从2007年的0.04 （715.97 mm）下降到0.87 (170.03 mm)，降低了76%，从2008年的0.07 （510.06 mm）下降到0.87 (152.80 mm)，具有较好的时空相关性。5个台站（S1-S5）的RRI模式的精度在2000-2008年期间均有所提高；校正后CHIRPS的NSE、RSR和R2平均值分别为0.73（0.85）、51.69（37.81）和0.78（0.88）。提出了一种基于cnn的更准确和当代降水数据集的方法，以使柬埔寨的水文建模和洪水响应策略受益。

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引用次数: 0

Is pre-fire soil moisture an important factor affecting post-fire soil susceptibility to erosion? 火前土壤湿度是影响火后土壤侵蚀敏感性的重要因素吗？

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: 2025-09-16 DOI: 10.1016/j.iswcr.2025.09.005

Tingye Wu, Lunjiang Wang, Jiawei Wu, Cheng Yang

Pre-fire soil moisture may affect combustion, thus post-fire soil physicochemical properties and erosion. However, the effect of pre-fire soil moisture content on post-fire soil susceptibility to erosion is not clear. This study collected undisturbed soil samples from the field to conduct burning under different pre-fire soil moistures and burn severities. Post-fire soil physicochemical properties and soil susceptibility to erosion were analysed via soil detachment experiment and calculation. The results exhibited that: (1) Burning reduced soil organic matter, CEC, and roots by 10.7 %, 8.4 %, and 27.6 %. Variation in pre-fire soil moisture affected post-fire soil CEC and soil texture. (2) Soil detachment and soil erodibility increased, while the critical shear stress decreased markedly as burn severity increased. (3) Pre-fire soil moisture decrease led to more post-fire soil detachment for the low burn severity condition (p < 0.05). However, the effect was not observed for higher fire severities. This study suggests that pre-fire soil moisture is important for establishing a more accurate post-fire soil erosion prediction model.

火灾前的土壤水分会影响燃烧，从而影响火灾后土壤的理化性质和侵蚀。然而，火灾前土壤含水量对火灾后土壤侵蚀敏感性的影响尚不清楚。本研究从田间采集原状土壤样品，在不同的火前土壤湿度和燃烧程度下进行燃烧。通过土壤剥离试验和计算，分析了火灾后土壤理化性质和土壤对侵蚀的敏感性。结果表明：(1)燃烧使土壤有机质、CEC和根系分别减少10.7%、8.4%和27.6%。火灾前土壤水分变化影响火灾后土壤CEC和土壤质地。(2)随着烧伤程度的增加，土壤剥离性和土壤可蚀性增加，临界剪应力显著降低。(3)在低烧伤严重程度条件下，火灾前土壤水分减少导致火灾后土壤剥离更多（p < 0.05）。然而，对于较高的火灾严重程度，没有观察到这种影响。研究表明，火灾前土壤湿度对于建立更准确的火灾后土壤侵蚀预测模型具有重要意义。

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引用次数: 0

Carbon sequestration in Australian Vertisols under conservation agriculture – Facts and public perception 保护农业下澳大利亚土壤的碳固存——事实与公众认知

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.2025.07.013

Bettina Faehnrich , Gunnar Kirchhof , Nilantha Hulugalle , Bernhard Goebel

Conservation agriculture (CA) is a complex farming system that combines types of no-tillage with crop sequencing and harvest residue management. One of the main characteristics is an assumption of inevitable soil organic matter increase, which impacts carbon sequestration (CS) to mitigate climate change. This review aims to clarify the definitions of CA, and how CA Practices (CAPs) are implanted in real life farming. CS is discussed in relation to soil type, water availability, temperature, cropping duration/CAPs, and carbon and nitrogen inputs. With focus on Australian Vertisols, we show how CS is reported in research publications vs. in general communication channels which are more important for public perception, to clarify the controversy between actual effects and assumptions. The literature search included original studies and reviews from the last 30+ years as well as grey literature to shed light on public opinion. Research on Vertisols clearly showed low CS potential (max. 0.02–0.4 % SOC increase ha⁻¹ dependent on CAP type and duration) due to their high clay content (>30 %) and intrinsic organic carbon. This is amplified by climatic conditions and low crop residue. Decomposition by microorganisms may exceed the carbon input from biomass production. Therefore, CAPs mostly just slow down humus depletion. We recommend working towards a standardized nomenclature, research under the defined terms and creating incentives for farmers to switch to "real" CA, especially in regions with high potential for CS. Furthermore, we want to raise awareness of the variability of impacts and adjust public perception accordingly.

保护性农业（CA）是一种复杂的农业系统，结合了各种免耕与作物排序和收获残留物管理。其中一个主要特征是假设土壤有机质不可避免地增加，从而影响碳固存（CS）以减缓气候变化。这篇综述旨在澄清CA的定义，以及CA实践（cap）如何植入现实生活中的农业。讨论了CS与土壤类型、水分有效性、温度、种植期/ cap以及碳氮投入的关系。以澳大利亚的versols为重点，我们展示了CS是如何在研究出版物中报告的，而在对公众认知更重要的一般传播渠道中报告的，以澄清实际效果和假设之间的争议。文献检索包括过去30多年的原创研究和评论，以及灰色文献，以揭示民意。对versols的研究清楚地表明，它的CS潜力很低。由于高粘土含量（30%）和固有有机碳，土壤有机碳含量增加0.02 - 0.4%（- 1取决于CAP类型和持续时间）。气候条件和低作物残留加剧了这种情况。微生物的分解可能超过生物质生产的碳输入。因此，cap主要只是减缓腐殖质的消耗。我们建议制定标准化的命名法，根据已定义的术语进行研究，并鼓励农民转向“真正的”农业生产，特别是在农业生产潜力巨大的地区。此外，我们希望提高对影响可变性的认识，并相应地调整公众的看法。

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引用次数: 0

Enhancing soil structure and water dynamics through long-term mulched drip irrigation in arid reclaimed saline soils 长期膜下滴灌改善干旱复垦盐渍土土壤结构和水分动态

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.2025.08.007

Pengcheng Luo , Rui Chen , Juanjuan Yang , Tehseen Javed , Jinzhu Zhang , Pengpeng Chen , Haiqiang Li , Qinggang Liu , Yu Chen , Zhenhua Wang

Soil salinization is a global environmental issue, and in the arid regions of Xinjiang, China, mulched drip irrigation (MDI) has been extensively implemented to combat drought and improve agricultural productivity on reclaimed saline wastelands. Despite its extensive use, the long-term impacts of MDI on soil physical properties and hydraulic characteristics remain underexplored. This study examines these long-term effects in cotton fields over 11, 16, 19, 21, and 26 years. Initial results showed significant improvements, including increases in soil moisture content (7.7 %–12.11 % to 8.1 %–14.58 %), a decrease in soil bulk density (1.66–1.79 g cm⁻³ to 1.34–1.49 g cm⁻³), and an increase in total soil porosity (34.80 %–38.49 % to 44.50 %–50.47 %). However, after 19 years of continuous MDI application, improvements in soil properties plateaued. The geometric mean diameter (GMD), macro-aggregate content, and mean weight diameter (MWD) initially decreased during the first 11 years but improved thereafter. The Soil Structural Stability Index (SI) significantly increased with ongoing MDI application. MDI also enhanced soil water retention and hydraulic conductivity, with saturated hydraulic conductivity (K_s) and saturated water content (θ_s) peaking during the initial and middle phases (11, 16, and 19 years), before diminishing in the later stages (21 and 26 years). Furthermore, MDI elevated soil organic carbon (SOC) levels and aggregate stability, bolstering soil resistance against degradation. Pearson correlation and principal component analyses underscored a positive relationship between SI, K_s, θ_s, SOC, and aggregate stability. This study confirms that MDI can effectively improve soil structure and dynamics, though its long-term sustainability requires periodic reassessment. These findings offer valuable insights into soil management strategies for achieving the UN's SDGs under similar environmental conditions.

土壤盐渍化是一个全球性的环境问题，在中国新疆干旱地区，覆盖滴灌（MDI）已被广泛应用于盐碱化荒地的抗旱和提高农业生产力。尽管MDI被广泛使用，但其对土壤物理特性和水力特性的长期影响仍未得到充分研究。本研究在11年、16年、19年、21年和26年的时间里对棉田的这些长期影响进行了检验。初步结果表明，土壤含水量从7.7% - 12.11%增加到8.1% - 14.58%，土壤容重从1.66-1.79 g cm - 3减少到1.34-1.49 g cm - 3，土壤总孔隙度从34.80% - 38.49%增加到44.50% - 50.47%。然而，在连续使用MDI 19年后，土壤性质的改善趋于平稳。几何平均直径（GMD）、宏观骨料含量和平均重径（MWD）在前11年开始下降，但之后有所改善。随着MDI的持续施用，土壤结构稳定指数（SI）显著增加。MDI还提高了土壤保水能力和导电性，饱和导电性（Ks）和饱和含水量（θs）在初期和中期（11、16和19年）达到峰值，在后期（21和26年）下降。此外，MDI提高了土壤有机碳（SOC）水平和团聚体稳定性，增强了土壤的抗退化能力。Pearson相关和主成分分析强调了SI、Ks、θs、SOC和总体稳定性之间的正相关关系。本研究证实MDI可以有效改善土壤结构和动态，但其长期可持续性需要定期重新评估。这些发现为在类似环境条件下实现联合国可持续发展目标的土壤管理战略提供了有价值的见解。

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引用次数: 0

Evaluation of climate and land use change impacts on discharge variability in the Mekong River's largest tributary 气候和土地利用变化对湄公河最大支流流量变化影响的评估

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: 2025-10-01 DOI: 10.1016/j.iswcr.2025.09.015

Nantawoot Inseeyong , Pavisorn Chuenchum , Bofu Yu , Mengzhen Xu

The Mekong River Basin faces significant challenges in streamflow variability, driven by climate change and human activities. This study evaluates the climate and land use/cover (LULC) variation effects on discharge in the Mun River, the greatest branch of the Mekong River, utilizing advanced climate projections and accurated future LULC maps. MPI-ESM1-2-LR is recommended as the optimal Global Climate Model under the Coupled Model Intercomparison Project Phase 6 for projecting discharge in the Mun River. An analysis reveals future LULC transformations, with the conversion of croplands into forests and urbanized areas. Annual discharge contributing to the Mekong River are projected to rise slightly up to 4 %, with temporal variations indicating wetter wet seasons and drier dry seasons. Wet-season discharge is projected to rise by 5 %–24 %, while the dry season may experience a reduction of 3 %–17 % between 2023 and 2050. These fluctuations are more pronounced in mountainous and upstream regions, highlighting potential risks of severe drought during dry periods and intensified flooding in wet periods. Such changes emphasize challenges for hydropower operations and water resource management in this basin and downstream countries. Therefore, effective and targeted LULC policies and water regulation are essential for ensuring the sustainable management of this catchment and the broader Mekong region.

受气候变化和人类活动的影响，湄公河流域在流量变异性方面面临重大挑战。本研究利用先进的气候预估和精确的未来土地利用/覆盖（LULC）地图，评估了气候和土地利用/覆盖（LULC）变化对湄公河最大支流门河流量的影响。MPI-ESM1-2-LR被推荐为耦合模式比较项目第6阶段预测门河流量的最佳全球气候模式。一项分析揭示了未来LULC的转变，包括农田向森林和城市化地区的转变。对湄公河贡献的年流量预计将略有增加，最高可达4%，时间变化表明雨季较湿润，旱季较干燥。预计在2023年至2050年间，雨季排放量将增加5% - 24%，而旱季排放量可能减少3% - 17%。这些波动在山区和上游地区更为明显，突出了干旱时期严重干旱和潮湿时期洪水加剧的潜在风险。这些变化强调了该流域和下游国家对水电运营和水资源管理的挑战。因此，有效和有针对性的LULC政策和水资源监管对于确保该流域和更广泛的湄公河地区的可持续管理至关重要。

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引用次数: 0

Examining hydrographs, sediment graphs, and rating loops of the Arda-Mignano Dam Watershed, Italy 检查意大利阿尔达-米尼亚诺大坝流域的水文图，沉积物图和评级循环

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: 2025-10-01 DOI: 10.1016/j.iswcr.2025.09.012

Seyed Hamidreza Sadeghi , Manuel La Licata , Azadeh Katebikord , Andrea Terret , Michael Maerker

Scrutinizing the temporal distribution pattern of suspended sediment concentration (SSC) in relation to flow discharge (FD) is particularly important in watersheds with reservoirs. Accordingly, sediment graphs (SGs) and hydrographs were analyzed for the Arda-Mignano Dam watershed in the Apennines of Northern Italy. The study was conducted to recognize determinant factors on SGs, hydrographs, and corresponding rating loops using discharge and SSC data for five distinct storm events from Nov. 2022 to Feb. 2023. The cause-and-effect analytical approach was used to identify the controlling factors for the individual hydrological event. Analyzing these events shows that the SGs were mainly bimodal. Therefore, the peak with a lower SSC occurs first, typically 1–7 h before the runoff peak, resulting in clockwise sediment rating loops. Meanwhile, the higher SSC occurs some 4–7 h after the hydrograph peak, resulting in anti-clockwise hysteresis loops. The clockwise loops indicate the availability of sediment sources in the main channel and its vicinity, near the main outlet. In contrast, the anti-clockwise loops characterize the sediment supply upstream of the watershed and cause the second peaks of SGs with a higher SSC than the first peak. The results also show that the rating loops exhibited hysteresis with a higher SSC for a given discharge occurring on the falling limb rather than the rising limb. The results also indicated that during the events with higher Flushing Index (FI) values—ranging from 0.06 to 0.72—sediment concentrations on the rising limb exceeded those on the falling limb, indicating rapid sediment mobilization from surface sources. Moreover, a comparison between the highest and lowest rainfall intensity events revealed that sediment concentrations increased by up to 117 %, highlighting the sensitivity of sediment response to rainfall energy and runoff generation. These findings underscore the need for targeted soil conservation measures, particularly in areas prone to erosion on hillslopes.

在有水库的流域，研究悬沙浓度（SSC）与流量（FD）的时间分布模式尤为重要。据此，对意大利北部亚平宁地区阿尔达-米尼亚诺大坝流域的泥沙图（SGs）和水文图进行了分析。该研究利用2022年11月至2023年2月期间的5次不同风暴事件的流量和SSC数据，识别了SGs、水文和相应评级回路的决定因素。采用因果分析的方法来确定单个水文事件的控制因素。分析这些事件表明，SGs主要是双峰的。因此，SSC较低的峰值首先出现，通常比径流峰值早1-7 h，形成顺时针的泥沙等级循环。同时，较高的SSC出现在峰后4 ~ 7 h，形成逆时针方向的磁滞回线。顺时针的圆圈表示在主河道及其附近，靠近主要出口的泥沙来源的可用性。相反，逆时针循环表征了流域上游的泥沙供应，并导致SGs的第二个峰的SSC高于第一个峰。结果还表明，在给定的放电发生在下降肢而不是上升肢时，额定值回路表现出较高的SSC滞回。在冲刷指数（Flushing Index， FI）为0.06 ~ 0.72时，上升坡面沉积物浓度大于下降坡面沉积物浓度，表明地表沉积物的快速调动。此外，对最高和最低降雨强度事件的比较显示，沉积物浓度增加了117%，突出了沉积物对降雨能量和产流的敏感性。这些发现强调了采取有针对性的土壤保持措施的必要性，特别是在山坡上容易受到侵蚀的地区。

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引用次数: 0

Assessing plant soil water availability in drought conditions: A comparative analysis of conventional and minimum tillage, example from Slovenia 评估干旱条件下植物土壤水分的有效性：传统耕作和最少耕作的比较分析，以斯洛文尼亚为例

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: 2025-07-05 DOI: 10.1016/j.iswcr.2025.07.003

Matic Noč, Urša Pečan, Vesna Zupanc, Marina Pintar, Matjaž Glavan

Tillage systems, such as conventional tillage (CT) and minimum tillage (MT), with reduced tillage and incorporation of surface crop residues, lead to changes in soil properties, including organic matter content and soil structure, and can alter water infiltration and water retention. This study aimed to assess plant soil water availability by observing soil water status and soil penetration resistance (SPR) in fields under CT and MT in two climate zones (Temperate Mediterranean and Humid Continental) and pedologically diverse river basins in Slovenia. Soil water content and matric potential were continuously measured throughout one growing season and SPR twice at all CT and MT fields with an identical crop rotation (maize - winter wheat - rapeseed/clover grass mixture) and tillage practice. Measurement indicates that, on average, matric potential between CT and MT in the study sites is not statistically different. The mean SPR was higher under MT in the first 30 cm soil layer. Soil matric potential categorised into four categories of plant-available water indicated severe drought conditions lasting for several months in most CT and MT fields. The findings suggest no statistically significant differences in plant soil water availability between the two evaluated tillage methods. Results indicate that a change in the tillage method alone did not substantially enhance plant water availability. Consequently, additional strategies, such as education, training, and support for farmers, alongside technological and technical measures advancements like irrigation and decision support systems, are necessary to adapt to climate change effectively and enhance plant water availability in agricultural soils.

传统耕作（CT）和最小耕作（MT）等耕作系统，减少耕作并掺入地表作物残留物，导致土壤性质的变化，包括有机质含量和土壤结构，并可以改变水的入渗和保水能力。本研究旨在通过观察斯洛文尼亚两个气候区（温带地中海和湿润大陆）和土壤多样性河流流域在CT和MT下的土壤水分状况和土壤渗透阻力（SPR）来评估植物土壤水分有效性。采用相同的轮作（玉米-冬小麦-油菜籽/三叶草混合物）和耕作方式，在所有CT和MT田的一个生长季节和两次SPR连续测量土壤含水量和基质势。测量表明，平均而言，CT和MT在研究部位的基质电位没有统计学差异。MT下前30 cm土层的平均SPR较高。土壤基质势将植物有效水分分为4类，表明旱地旱情严重，旱情持续数月。研究结果表明，在两种评估的耕作方法之间，植物土壤水分有效性没有统计学上的显著差异。结果表明，仅仅改变耕作方法并不能显著提高植物的水分有效性。因此，要有效适应气候变化，提高农业土壤植物水分利用率，就必须采取教育、培训和支持农民等额外战略，同时推进灌溉和决策支持系统等技术措施。

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引用次数: 0

Analyzing soil erosion trends and future predictions using the RUSLE model: A case study of the Dwarakeswar River Basin, West Bengal 利用RUSLE模型分析土壤侵蚀趋势及未来预测：以西孟加拉邦Dwarakeswar河流域为例

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.2025.08.011

Basudeb Pyne , Sushobhan Majumdar , Jaidul Islam , Edris Alam , Md Kamrul Islam

Climate change and non-sustainable land use management are closely linked to soil erosion (SE), which poses the most significant threat worldwide. This paper aims to assess annual SE in Dwarakeswar River Basin (DRB) in terms of current and future climatic and land-use change in 2035 and 2050. The Revised Universal Soil Loss Equation (RUSLE) model was applied to obtain SE. Furthermore, land use has been simulated using an ANN and Markov chain model. Precipitation was projected using the General Circulation Model (GCM) of MIROC6 (Model for Interdisciplinary Climate Research) from CMIP6 (Coupled Model Intercomparison Project Phase 6) under three Representative Concentration Pathway (RCP) 2.6, 4.5, and 8.5 scenarios. Finally, this study examines the variations between forecasted and current erosion rates to identify the patterns of soil erosion change and the SE pockets. The average rainfall rate in future is expected to be lower than in the current period. Results revealed that the mean average estimated annual SE rate in the study area in 2022 approximately 7.74 t ha⁻¹ yr⁻¹. In contrast to RCP 2.6, 4.5, and 8.5 scenarios in 2035 the mean SE 23.56 t ha⁻¹yr⁻¹, 22.95 t ha⁻¹yr⁻¹, and 22.84 t ha⁻¹yr⁻¹, and in 2050 the mean SE 25.16 t ha⁻¹yr⁻¹, 24.76 t ha⁻¹yr⁻¹, and 25.51 t ha⁻¹yr⁻¹ respectively, which represents a 3 to 4 times SE increase in the future. To mitigate this damage, a better management plan should be adopted, which could possibly address this issue, especially in those SE pockets.

气候变化和不可持续土地利用管理与土壤侵蚀密切相关，土壤侵蚀是世界范围内最严重的威胁。基于2035年和2050年的气候变化和土地利用变化，对德拉克斯瓦尔河流域（DRB）的年SE进行了评估。采用修正通用土壤流失方程（RUSLE）模型计算土壤流失系数。此外，利用人工神经网络和马尔可夫链模型对土地利用进行了模拟。利用CMIP6（耦合模式比对项目第6阶段）的MIROC6（跨学科气候研究模式）的环流模式（GCM）预估了代表性浓度路径（RCP） 2.6、4.5和8.5三种情景下的降水。最后，本研究考察了预测和当前侵蚀率之间的变化，以确定土壤侵蚀变化模式和东南口袋。预计未来的平均降雨量将低于当前时期。结果表明，研究区2022年平均估计年SE率约为7.74 tha - 1 yr - 1。与RCP 2.6、4.5和8.5情景相比，2035年的平均SE分别为23.56 t ha - 1yr - 1、22.95 t ha - 1yr - 1和22.84 t ha - 1yr - 1, 2050年的平均SE分别为25.16 t ha - 1yr - 1、24.76 t ha - 1yr - 1和25.51 t ha - 1yr - 1，表明未来SE将增加3 ~ 4倍。为了减轻这种损害，应该采用更好的管理计划，这可能会解决这个问题，特别是在那些SE口袋中。

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引用次数: 0

Spatial variations in runoff, sediment, and nutrient losses induced by toposequence and biochar application in upland maize farming 旱地玉米种植中地形顺序和生物炭施用引起的径流、泥沙和养分损失的空间变化

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: 2025-07-14 DOI: 10.1016/j.iswcr.2025.07.007

Wanwisa Pansak , Jean-Louis Janeau , Suphannika Intanon , Chanisara Rodprai , Khwanrawee Anusorn , Claude Hammecker , Dorian Rumeau , Séraphine Grellier

Soil erosion is a natural process that can be intensified by inappropriate land use and agricultural practices. Therefore, it is essential to gain a deeper understanding of the effects of agro-ecological practices, such as biochar application, on soil erosion processes in upland areas, particularly in Southeast Asia. Moreover, understanding the variations in erosion characteristics across a toposequence is vital for sustaining upland agriculture. The objective of this study was to investigate the effects of toposequence position and biochar application on sediment loss, runoff, and nutrient losses under natural rainfall conditions in Nan Province, Thailand. We installed 24 plots of 1 m² each, located at four positions within the toposequence. The biochar was incorporated into the soil at 5 cm depth. Over two rainy seasons, we regularly measured sediment loss, runoff, and nutrient losses on plots with and without biochar along the four positions of the toposequence. Our findings indicated that the addition of biochar amendments to the topsoil effectively reduced nutrient loss through runoff, particularly nitrogen. This practice also improved vegetation cover, increased soil moisture, and decreased the presence of free elements such as micro-aggregates, gravels, and carbon nodules (biochar) on the soil surface. During the study, we observed the re-emergence of previously integrated biochar on the soil surface after eight months under natural conditions, which manifested as a crust on the soil surface. Positions within the toposequence had a significant impact on various soil properties, including the amount of sediment loss, runoff, and nutrient losses. Therefore, considering the influence of toposequence position is essential for enhancing soil management and implementing suitable agroecological practices.

土壤侵蚀是一个自然过程，不适当的土地利用和农业做法会加剧这一过程。因此，有必要更深入地了解农业生态实践（如生物炭应用）对旱地，特别是东南亚地区土壤侵蚀过程的影响。此外，了解地形序列中侵蚀特征的变化对维持旱地农业至关重要。本研究的目的是研究泰国南省自然降雨条件下拓扑序列位置和生物炭施用对沉积物损失、径流和养分损失的影响。我们在地形序列的四个位置安装了24块1平方米的地块。将生物炭掺入5厘米深的土壤中。在两个雨季中，我们沿着地形序列的四个位置定期测量有和没有生物炭的地块上的沉积物损失、径流和养分损失。我们的研究结果表明，在表土中添加生物炭改进剂可以有效地减少径流带来的养分损失，尤其是氮。这种做法还改善了植被覆盖，增加了土壤水分，减少了土壤表面的微团聚体、砾石和碳结核（生物炭）等自由元素的存在。在研究过程中，我们观察到在自然条件下8个月后，土壤表面重新出现了先前整合的生物炭，表现为土壤表面结皮。地形序列内的位置对各种土壤性质有显著影响，包括泥沙流失量、径流和养分流失量。因此，考虑地形顺序位置的影响对加强土壤管理和实施适宜的农业生态措施至关重要。

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引用次数: 0