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Comparison of alternative chemical density and physical methods for isolating soil organic matter fractions in high carbon soils 化学密度法与物理方法分离高碳土壤有机质组分的比较
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-12 DOI: 10.1016/j.catena.2025.109788
Hamond Motsi , Catherine E. Clarke , Ailsa G. Hardie , Michele L. Francis , Alastair J. Potts
Soils beneath Portulacaria afra (spekboom) within the evergreen Albany Subtropical Thicket of South Africa contain unusually high soil organic carbon concentrations despite the biome's semi-arid climate. Fractionation of soil organic matter (SOM) into particulate organic matter (POM) and mineral-associated organic matter (MAOM) provide insights into the mechanisms of soil carbon (C) accumulation. Conventionally, sodium polytungstate (SPT) is used in density fractionation, but its high-cost limits sample numbers. Cheaper, reliable alternatives to SPT are therefore required to understand the C dynamics of spekboom and other high-C soils. Particle size (PS) sieving has been proposed as cheaper alternative to density fractionation, but its application in spekboom soils is unknown. This study compared SPT with PS fractionation and density fractionation using cheaper, highly soluble salts: sodium iodide (NaI), potassium iodide (KI), and calcium chloride (CaCl2). The relationship between permanganate oxidizable carbon (POXC) and POM-C was also explored. High C (>5 %) topsoils with a range of POM:MAOM ratios from the spekboom thicket, a pine forest, a wetland, and a grassland were evaluated. Results demonstrated that fractionation methods significantly affected (p < 0.05) fractions in each soil. NaI showed similar performance to SPT in SOM fractionation followed by KI. The PS method used in this study compared poorly to SPT, underestimating POM-C (34–39 %) and overestimating MAOM-C (39–51 %) in high POM soils (spekboom and pine forest soils) with the opposite effect in lower POM soils (wetland and grassland). The CaCl2 method was also not ideal due to salt entrainment. Some soils did not conform to the expected linear relationship between POM-C and POXC demonstrating that POXC method is not always suitable. Thus, NaI is proposed as a cheaper alternative to replace SPT in density fractionation of spekboom soils. Findings from this study have significant implications in appropriate method selection for SOM fractionation of high C soils.
南非奥尔巴尼亚热带常绿灌丛内的马齿苋(斑马草)下的土壤含有异常高的土壤有机碳浓度,尽管该生物群落处于半干旱气候。土壤有机质(SOM)分异为颗粒有机质(POM)和矿物相关有机质(MAOM),为土壤碳(C)积累机制的研究提供了新的思路。传统上,多钨酸钠(SPT)用于密度分馏,但其高成本限制了样品数量。因此,需要更便宜、更可靠的SPT替代品来了解spekboom和其他高碳土壤的碳动态。粒径(PS)筛分被认为是密度分选的一种更便宜的选择,但其在爆炸土壤中的应用尚不清楚。本研究将SPT与PS分馏和密度分馏进行了比较,这些分馏采用了更便宜、高可溶性的盐:碘化钠(NaI)、碘化钾(KI)和氯化钙(CaCl2)。探讨了高锰酸盐可氧化碳(POXC)与POM-C之间的关系。研究了高C (> 5%)表土的POM:MAOM比值范围,分别来自胡木灌丛、松林、湿地和草地。结果表明,不同的分馏方法对各土壤组分有显著影响(p < 0.05)。NaI与SPT在SOM分选中的表现相似,其次是KI。本研究中使用的PS方法与SPT相比效果较差,在高POM土壤(石竹林和松林土壤)中低估了POM- c(34 - 39%),高估了MAOM-C(39 - 51%),而在低POM土壤(湿地和草地)中则相反。由于盐夹带,CaCl2方法也不理想。部分土壤POM-C与POXC之间不符合预期的线性关系,说明POXC方法并不总是适用的。因此,NaI被认为是一种更便宜的替代SPT的方法。本研究结果对高碳土壤SOM分馏方法的选择具有重要意义。
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引用次数: 0
Development and application of a distributed hydrology and soil erosion model in a semi-arid catchment, China 半干旱流域分布式水文水土流失模型的建立与应用
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-12 DOI: 10.1016/j.catena.2026.109811
Ang Lu , Peng Tian , Guangju Zhao , Xingmin Mu , Xiaojing Tian , Chaojun Gu , Lin Yang , Junjian Fan
Soil erosion models are efficient tools for quantifying regional soil erosion, estimating long-term soil erosion rates, and assessing the effects of land surface changes on soil erosion and sediment yield. These models offer significant advantages over costly and geographically limited field monitoring. These models are crucial for understanding hydrological and sediment dynamic on the Loess Plateau, which is highly vulnerable to soil erosion due to its complex topography, high erodible loess and frequent storms. To address the need of event-based simulations that can capture the impacts of widespread conservation practices, this study developed a novel distributed hydrology and soil erosion model. The model couples the Vertical Mixed Runoff Model (VMM) with the Morgan-Morgan-Finney (MMF) erosion model and integrates a specialized module to explicitly simulate the interception effects of terraces, which are a key soil and water conservation measure in the region. This integrated model simulates three key components at the flood-event scale, including runoff generation, soil erosion, and sediment transport. The model was calibrated and validated using data from nine flood events in the Xichuanhe catchment, a typical tributary of the Yanhe River on the Loess Plateau. The results demonstrate a high level of accuracy in runoff simulation, achieving Nash-Sutcliffe Efficiency (NSE) coefficients of 0.82 and 0.67 for the calibration and validation periods, respectively. Relative Peak Errors (RPE) were consistently below 23%, indicating a close match between simulated and observed hydrographs. For sediment simulation, the model effectively captured the overall dynamics with an average NSE of 0.80 and RPE between 2.3% and 18.7% during calibration periods, though with some discrepancies during validation periods. The model confirms the significant role of terraces in reducing runoff and sediment yield. On average, terraces could reduce total runoff volume by 12.1% and sediment yield by 17.2% during flood events. These findings demonstrated the model's effectiveness for hydrological and soil erosion simulation and its potential in evaluating soil and water conservation measures on the Loess Plateau. The model can offer a valuable tool for quantitatively assessing the effectiveness of soil and water conservation measures in this critical region and similar semi-arid environments.
土壤侵蚀模型是量化区域土壤侵蚀、估算长期土壤侵蚀速率以及评估地表变化对土壤侵蚀和产沙影响的有效工具。这些模型相对于昂贵且地理位置有限的现场监测具有显著优势。这些模型对于了解黄土高原的水文和泥沙动力学至关重要,由于其复杂的地形,高可蚀性黄土和频繁的风暴,黄土高原极易受到土壤侵蚀。为了满足基于事件的模拟的需求,能够捕捉广泛的保护措施的影响,本研究开发了一个新的分布式水文和土壤侵蚀模型。该模型将垂直混合径流模型(VMM)与Morgan-Morgan-Finney侵蚀模型(MMF)耦合在一起,集成了一个专门的模块,明确模拟了该地区重要的水土保持措施梯田的截流效果。这个综合模型在洪水事件尺度上模拟了三个关键组成部分,包括径流产生、土壤侵蚀和沉积物运输。利用黄土高原延河典型支流西川河流域9次洪水事件的数据对模型进行了标定和验证。结果表明,径流模拟具有较高的准确性,在校准和验证期间,Nash-Sutcliffe效率(NSE)系数分别为0.82和0.67。相对峰值误差(RPE)始终低于23%,表明模拟和观测的水文曲线非常接近。对于泥沙模拟,该模型在校准期间有效捕获了整体动态,平均NSE为0.80,RPE在2.3%至18.7%之间,尽管在验证期间存在一些差异。该模型证实了梯田在减少径流和产沙量方面的重要作用。平均而言,在洪水期间,梯田可以减少12.1%的总径流量和17.2%的产沙量。这些结果证明了该模型在黄土高原水文和土壤侵蚀模拟中的有效性以及在水土保持措施评价中的潜力。该模型可为定量评价该关键区域及类似半干旱环境下水土保持措施的有效性提供有价值的工具。
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引用次数: 0
Trampling disturbance affects the stability of soil carbon pools in urban park green spaces by disrupting soil aggregates and altering the composition of organic carbon components 踩踏干扰通过破坏土壤团聚体,改变有机碳组分组成,影响城市公园绿地土壤碳库的稳定性
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-12 DOI: 10.1016/j.catena.2025.109765
Wei Tang, Xiurong Wang, Rong Zou, Bingyang Shi, Jiaqi Chen
While trampling disturbance affects soils, its impact on urban park soil carbon cycling remains unclear. This study elucidates the mechanisms by which varying trampling intensities influence urban park soil carbon pools, thereby providing theoretical foundations for soil restoration and park management. Four gradient sampling plots (0-3 m, 3-6 m, 6-9 m, 9-12 m) were established along park trail edges. Soil samples were collected using a five-point sampling method, with trampling intensities (heavy, moderate, light) classified based on changes in soil bulk density (compared to control) using the Jenks Natural Breaks method. Results indicated that heavy trampling reduced the >2 mm aggregate proportion by 30.95 %, mean weight diameter by 11.62 %, and geometric mean diameter by 16.62 %, thereby decreasing soil stability. Heavy trampling decreased total soil organic carbon by 34.45 % while increasing the <0.053 mm aggregate contribution by 40.58 %, facilitating carbon migration from >2 mm to <0.053 mm aggregates. Heavy trampling transiently increased labile organic carbon but decreased recalcitrant and inert fractions, while suppressing microbial biomass carbon. Structural equation modeling confirmed that trampling directly (P < 0.05) and indirectly (via reduced aggregate stability and carbon activity, P < 0.01) affected carbon dynamics. Trampling disturbance significantly compromises soil carbon pool stability and sequestration capacity through multiple mechanisms: disrupting aggregate stability, reducing organic carbon content, altering carbon fraction composition, and suppressing microbial activity. Compared to simply increasing carbon inputs, minimizing physical disturbance proves more effective for maintaining soil carbon sink functionality, providing a scientific basis for urban park carbon management.
踩踏干扰对土壤有影响,但对城市公园土壤碳循环的影响尚不清楚。本研究阐明了不同践踏强度对城市公园土壤碳库的影响机制,为土壤修复和公园管理提供理论依据。沿公园步道边缘设置0 ~ 3 m、3 ~ 6 m、6 ~ 9 m、9 ~ 12 m 4个梯度样地。土壤样品采用五点采样法,踩踏强度(重、中、轻)根据土壤容重的变化(与对照组相比)使用Jenks自然断裂法进行分类。结果表明,重度践踏使2 mm骨料比例降低30.95%,平均重径降低11.62%,几何平均径降低16.62%,从而降低了土壤的稳定性。重度践踏使土壤总有机碳减少34.45%,使0.053 mm团聚体贡献增加40.58%,促进了碳从2 mm团聚体向0.053 mm团聚体的迁移。重度踩踏会短暂地增加不稳定有机碳,但会减少顽固性和惰性组分,同时抑制微生物生物量碳。结构方程模型证实,践踏直接(P < 0.05)和间接(通过降低团聚体稳定性和碳活性,P < 0.01)影响碳动力学。踩踏干扰通过破坏团聚体稳定性、降低有机碳含量、改变碳组分组成和抑制微生物活性等多种机制显著影响土壤碳库稳定性和固碳能力。与单纯增加碳输入相比,减少物理干扰对维持土壤碳汇功能更有效,为城市公园碳管理提供了科学依据。
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引用次数: 0
Response of hydrological processes to event- and annual-scale precipitation extremes in a rocky mountainous area of northern China 中国北方多岩山区水文过程对事件尺度和年尺度极端降水的响应
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-12 DOI: 10.1016/j.catena.2026.109803
Yuxin Wu , Xinxiao Yu , Guodong Jia , Zihe Liu , Honghong Rao
In the context of global change and human activities, the increasing frequency of heavy rainfall and drought events due to uneven precipitation distribution poses significant challenges to ecosystem hydrology. Forest and grass ecosystems can exhibit distinct hydrological responses to climate extremes, yet their short- and long-term reactions across multiple temporal scales remain inadequately quantified. Using field standard runoff plots and vertically-distributed soil moisture monitoring systems over 13 years, this study investigated the effects of extreme rainfall events on P (precipitation), R (runoff), ET (evapotranspiration), and SWC (soil water content) in forest and grass ecosystems within a rocky mountainous area of Beijing. At the event scale, NG (natural grass) showed faster and more pronounced hydrological responses in shallow soil layers compared to SF (secondary forest). Storm events induced significant water transport in deep soils across both NG and SF. Deep water movement was regulated by root systems and pre-storm SWC, with SF demonstrating greater soil water retention capacity. At the annual scale, the primary water output was ET, accounting for 75.42% ∼ 107.69% of NG and 78.68% ∼ 121.55% of SF. Multi-year R was markedly higher in NG than in SF, although mean annual R accounted for only 6.74% to 12.97% of annual P. Deep SWC was significantly greater in extremely wet years compared to extremely dry years, highlighting the role of extreme precipitation in deep soil water recharge and retention. Both ecosystems exhibited multi-year soil water deficits, although heavy rainfall at the end of the growing season occasionally resulted in annual water surplus. These findings provide new insights into the hydrological dynamics of rocky mountain ecosystems under increasing climate variability.
在全球变化和人类活动的背景下,由于降水分布不均匀,强降雨和干旱事件日益频繁,给生态系统水文带来了重大挑战。森林和草地生态系统可以对极端气候表现出不同的水文响应,但它们在多个时间尺度上的短期和长期反应仍然没有得到充分的量化。利用13年野外标准径流样地和垂直分布土壤水分监测系统,研究了极端降雨事件对北京石山区林草生态系统P(降水)、R(径流)、ET(蒸散发)和SWC(土壤含水量)的影响。在事件尺度上,天然草在浅层土壤中表现出比次生林更快、更显著的水文响应。风暴事件在NG和SF的深层土壤中引起了显著的水分输送。深水运动受根系和风暴前SWC的调节,其中SF表现出更强的土壤保水能力。在年尺度上,主要出水量为ET,占NG的75.42% ~ 107.69%,SF的78.68% ~ 121.55%。尽管年平均R仅占年p的6.74% ~ 12.97%,但多年R显著高于丰水区,极湿年深层SWC显著大于极干年,突出了极端降水对深层土壤水分补给和保持的作用。两个生态系统都表现出多年的土壤水分亏缺,尽管生长期末的强降雨偶尔会导致年水分过剩。这些发现为研究日益增加的气候变率下落基山生态系统的水文动力学提供了新的见解。
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引用次数: 0
Disentangling the impacts of climate, catchment, and morphological characteristics on hydrological drought propagation and recovery 气候、流域和形态特征对水文干旱传播和恢复的影响
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-12 DOI: 10.1016/j.catena.2026.109799
Xuan Luo , Xuan Ji , Yi Zou , Siqi Wang , Xinbei Liu , Xiaodong Wu , Jianxing Li , Yungang Li
Hydrological drought (HD) propagation and recovery dynamics exhibit spatiotemporal heterogeneity, which is driven by coupled climate-catchment interactions. However, the relative contributions and role of these drivers remain poorly quantified. This study developed an attribution approach integrating process-based modeling and machine learning to disentangle multi-factor controls on HD propagation and recovery in the Lancang-Mekong River Basin. By employing a Variable Infiltration Capacity model to reconstruct natural runoff, we quantified meteorological-to-hydrological drought propagation time (PT) and recovery lag time (RT) through event-based analysis. A multi-stage predictor selection strategy, combined with Optimal Parameter-based Geodetector (OPGD), Recursive Feature Elimination (RFE), and Extreme Gradient Boosting (XGBoost) algorithms, addressed spatial heterogeneity and multicollinearity among driver factors while retaining predictive power. Finally, SHapley Additive exPlanations (SHAP) were incorporated to quantify feature contributions and support the interpretation of nonlinear driver-response relationships. Results revealed that RT (mean: 3.45 months) consistently exceeded PT (mean: 1.12 months) across all sub-basins, with drought duration and severity amplifying PT and RT. The hybrid OPGD-RFE-XGBoost model achieved higher R2 (50% increase for PT and 42% increase for RT) using only 18% and 35% of the original features compared to XGBoost model. SHAP analysis identified climate as the primary controlling factor for both PT (contribution: 45.5%) and RT (51.8%). Catchment and morphological characteristics exhibited subordinate influence on PT (41.3%) and RT (32.7%). By integrating spatially structured predictors and explainable machine learning, this study establishes an analytical framework to decouple climate-catchment interactions in drought cascades, highlighting the role of underlying characteristics in drought propagation and recovery.
水文干旱(HD)的传播和恢复动态表现出时空异质性,这是由气候-流域耦合相互作用驱动的。然而,这些驱动因素的相对贡献和作用仍然难以量化。基于过程建模与机器学习相结合的归因方法研究了澜沧江-湄公河流域HD传播与恢复的多因素控制。采用变入渗能力模型重建自然径流,通过事件分析量化了气象-水文干旱传播时间(PT)和恢复滞后时间(RT)。多阶段预测器选择策略结合基于最优参数的地理探测器(OPGD)、递归特征消除(RFE)和极端梯度增强(XGBoost)算法,在保持预测能力的同时解决了驱动因素之间的空间异质性和多重共线性问题。最后,采用SHapley加性解释(SHAP)来量化特征贡献,并支持非线性驾驶员-响应关系的解释。结果显示,在所有子流域,RT(平均3.45个月)一直超过PT(平均1.12个月),干旱持续时间和严重程度放大了PT和RT。与XGBoost模型相比,混合OPGD-RFE-XGBoost模型仅使用18%和35%的原始特征,就获得了更高的R2 (PT增加50%,RT增加42%)。SHAP分析表明,气候是影响PT(贡献45.5%)和RT(51.8%)的主要控制因子。流域和形态特征对PT(41.3%)和RT(32.7%)的影响次要。通过整合空间结构化预测因子和可解释的机器学习,本研究建立了一个分析框架,以解耦干旱级联中的气候-流域相互作用,突出潜在特征在干旱传播和恢复中的作用。
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引用次数: 0
Natural susceptibility and human intervention in gullies sidewalls in tropical environments of southeastern Brazil 巴西东南部热带环境沟壑侧壁的自然易感性与人为干预
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-10 DOI: 10.1016/j.catena.2025.109783
Estêvão Botura Stefanuto , Cenira Maria Lupinacci , Higor Lourenzoni Bonzanini , Danilo Marques de Magalhães , Filipe Carvalho , Estela Nadal-Romero , Melina Fushimi , Fabiano Tomazini da Conceição , Archimedes Perez Filho
It is crucial to distinguish between gully erosion responses derived from the inherent fragility of the environment and those induced by human activities. This study examines gully sidewall erosion in relation to soil physical variables and land use, with particular attention to livestock farming. Sidewall data were collected and analysed during both wet and dry seasons, including grain size, soil resistance to penetration, and infiltration. Land use data were also compiled before and after the implementation of a restoration technique. These data were compared with three years of erosion monitoring on the gully sidewall. The results indicate that tropical environments with two well-defined seasons (summer and winter) also require careful consideration of transitional periods (spring and fall), as soil drying and crack formation increase erosion risk. Sandy fractions demonstrate high susceptibility to erosion; however, the role of finer fractions, especially silt, is equally critical, since their presence, together with higher soil penetration resistance during dry periods, indicates areas with high erosive potential. Infiltration measured under field conditions shows high variability, which complicates the assessment of its contribution to gully development. The adoption of simple measures, such as fencing off eroded areas, proved effective in reducing soil loss from gullies in pastures under livestock farming. Overall, the findings underline that the combined effect of environmental fragility and grazing pressure constitutes a major driver of gully erosion in tropical regions. Recognising these interactions is fundamental for designing appropriate soil conservation strategies in livestock-dominated landscapes.
区分由环境固有脆弱性引起的沟壑侵蚀反应和由人类活动引起的沟壑侵蚀反应至关重要。本研究考察了沟壑侧壁侵蚀与土壤物理变量和土地利用的关系,并特别关注畜牧业。在湿季和旱季收集并分析了侧壁数据,包括粒度、土壤抗渗透能力和渗透能力。在实施恢复技术之前和之后,还汇编了土地利用数据。这些数据与三年来对沟侧壁的侵蚀监测进行了比较。结果表明,由于土壤干燥和裂缝形成增加了侵蚀风险,具有两个明确季节(夏季和冬季)的热带环境也需要仔细考虑过渡时期(春季和秋季)。砂质组分对侵蚀表现出较高的敏感性;然而,细颗粒的作用,特别是粉土,同样至关重要,因为它们的存在,加上干旱时期土壤渗透阻力较大,表明这些地区具有高侵蚀潜力。在野外条件下测量的入渗表现出很高的变异性,这使得评估其对沟壑发育的贡献变得复杂。采取一些简单的措施,例如用栅栏把受侵蚀的地区围起来,在减少畜牧业牧场沟渠的土壤流失方面被证明是有效的。总的来说,研究结果强调了环境脆弱性和放牧压力的综合影响是热带地区沟壑侵蚀的主要驱动因素。认识到这些相互作用是在以牲畜为主的景观中设计适当的土壤保持策略的基础。
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引用次数: 0
Methodological advancements in soil erosion: a meta-analysis of organic matter content and erosion in the Mediterranean region 土壤侵蚀的方法学进展:地中海地区有机质含量和侵蚀的荟萃分析
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-10 DOI: 10.1016/j.catena.2026.109793
Tom Avikasis Cohen , Gabriel Cotlier , Ioannis Daliakopoulos , Pandi Zdruli , Shahar Baram , Anna Brook
Topsoil organic matter content (OMC), particularly within the upper 30 cm, is critical for soil fertility, ecosystem functioning, and resilience. In Mediterranean environments, OMC is highly vulnerable to soil water erosion (SWE), a process intensified by increasingly frequent and intense rainfall. While SWE research has largely focused on mineral soil loss, its effects on OMC, especially the balance between depletion in source areas and accumulation in depositional zones, remain poorly quantified at regional scales. This study applies advanced analytical approaches, including multilevel meta-analytic models, to examine the spatial dynamics of OMC redistribution under SWE and to evaluate how scale and methodology influence reported outcomes. A meta-analysis was conducted using data from 71 studies across Mediterranean landscapes. Due to the limited availability of land-use-specific studies, the analysis adopts a broad regional perspective rather than stratification by management type. Results reveal extremely high heterogeneity, driven primarily by methodological differences, spatial scale, and timing. Mean effects varied by study type: field experiments showed a weakly negative association between SWE and OMC (β = −0.0421, k = 68), rainfall-based studies showed a positive relationship (β = 0.7209, k = 66), and simulation studies indicated a mild positive trend (β = 0.0835, k = 14), all with high heterogeneity (I2 > 90 %). Overall, the findings demonstrate that SWE does not uniformly result in OMC loss but often reflects spatial translocation. These results highlight the need for improved methodological consistency and ecologically grounded frameworks to interpret OMC dynamics in Mediterranean erosion-prone landscapes.
表层土壤有机质含量(OMC)对土壤肥力、生态系统功能和恢复力至关重要。在地中海环境中,OMC极易受到水土流失(SWE)的影响,而日益频繁和强烈的降雨加剧了这一过程。虽然SWE研究主要集中在矿质土壤流失上,但其对OMC的影响,特别是对源区耗损与沉积带积累之间平衡的影响,在区域尺度上仍然缺乏量化。本研究采用先进的分析方法,包括多层次元分析模型,来研究SWE下OMC再分配的空间动态,并评估规模和方法如何影响报告的结果。对地中海地区71项研究的数据进行了荟萃分析。由于具体土地用途的研究有限,分析采用了广泛的区域观点,而不是按管理类型分层。结果显示了极高的异质性,主要是由方法差异、空间尺度和时间驱动的。平均效应因研究类型而异:田间试验显示SWE与OMC呈弱负相关(β = - 0.0421, k = 68),基于降雨量的研究显示正相关(β = 0.7209, k = 66),模拟研究显示轻度正相关(β = 0.0835, k = 14),均具有高度异质性(I2 > 90%)。总的来说,研究结果表明SWE并不是均匀地导致OMC损失,而是经常反映空间易位。这些结果强调需要改进方法一致性和生态基础框架来解释地中海易侵蚀景观中的OMC动态。
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引用次数: 0
Slope orientation regulates the joint influence of ephemeral plants and microorganisms on the soil multifunctionality of the mobile sand dunes 坡向调节着短期植物和微生物对流动沙丘土壤多功能性的共同影响
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-10 DOI: 10.1016/j.catena.2026.109818
Xinmeng You , Xiaodong Yang , Lu Gong , Yihu Niu , Xue Wu , Xiaochen Li , Qian Guo
In desert dune ecosystems, climate change-and human disturbance-induced ecological processes have exacerbated the expansion risk of mobile dunes, substantially impairing soil functions maintenance and performance. As key biological functional groups in the dune ecosystem, ephemeral plants and soil microorganisms play crucial roles in regulating soil multifunctionality (SMF). However, the ecological mechanisms underlying this regulation remain unclear. To address this gap, we conducted a study on typical mobile dunes at the southern margin of the Gurbantunggut Desert. We established plots across four dune slope orientations to investigate the structure and diversity of ephemeral plant communities, employed high-throughput sequencing to analyze soil microbial community composition, and comprehensively evaluated SMF and its driving mechanisms. Results showed that SMF was significantly higher at the dune bottom than on the middle positions. Biodiversity and single functional indicators varied among different slope orientations. Piecewise structural equation modeling (SEM) analysis revealed that microbial diversity (bacterial ACE and fungal ACE) exerted a direct and significant positive effect on SMF. In contrast, plant diversity (Shannon and MNTD) imposed significant negative impacts through the dominant-species effect and their interactions with microorganisms. Our findings indicated that slope orientation, as a key environmental filtering factor, regulated soil physicochemical factors such as soil moisture, electrical conductivity, and pH. This regulation indirectly affected the structure and interaction of plant and microbial communities, which in turn modulated SMF. Collectively, slope orientation-driven environmental heterogeneity, microbial functional complementarity, and the dominant-species effect govern the spatial differentiation of SMF in arid desert dune ecosystems.
在荒漠沙丘生态系统中,气候变化和人为干扰导致的生态过程加剧了流动沙丘的扩张风险,严重损害了土壤功能的维持和性能。作为沙丘生态系统中关键的生物功能群,短期植物和土壤微生物在调节土壤多功能性(SMF)中起着至关重要的作用。然而,这种调控背后的生态机制尚不清楚。为了解决这一问题,我们对古尔班通古特沙漠南缘典型移动沙丘进行了研究。在4个沙丘坡向上建立样地,研究沙丘坡向短期植物群落结构和多样性,利用高通量测序技术分析土壤微生物群落组成,综合评价沙丘坡向短期植物群落及其驱动机制。结果表明,沙丘底部的SMF显著高于沙丘中部。不同坡向的生物多样性和单一功能指标存在差异。分段结构方程模型(SEM)分析表明,微生物多样性(细菌ACE和真菌ACE)对SMF有直接且显著的正向影响。相比之下,植物多样性(Shannon和MNTD)通过优势种效应及其与微生物的相互作用施加了显著的负面影响。研究结果表明,坡向作为一个关键的环境过滤因子,对土壤水分、电导率和ph等土壤理化因子进行调控,并间接影响植物和微生物群落的结构和相互作用,进而调节土壤土壤肥力。总体而言,坡向驱动的环境异质性、微生物功能的互补性和优势种效应决定了干旱荒漠沙丘生态系统SMF的空间分异。
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引用次数: 0
Multi-annual evolution of coastal dunes: Transition from fixed to transgressive dunes state 海岸沙丘的多年演化:从固定沙丘状态到海侵沙丘状态的过渡
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-10 DOI: 10.1016/j.catena.2025.109787
Alexandre Nicolae Lerma , Olivier Burvingt , Bruno Castelle , Bruce Ayache , Nicolas Robin , David Rosebery , Julie Billy
Most of coastal dunes located in temperate latitudes, especially in the Northern Hemisphere, are relatively stable. However, along the Gironde coast (SW France) substantial dune remobilization has been observed over the last decade following major marine erosion events during the 2013–2014 winter. This study is based on the analysis of a robust dataset including (i) 10 high-resolution Digital Terrain Models (DTMs) derived from airborne LiDAR surveys conducted over a 12-year period (2011−2023) and (ii) 7 Satellite-derived Digital maps of dune vegetation cover derived from Sentinel-2 satellite images acquired between 2017 and 2023. These morphological and biological parameters are linked to forcing parameters derived from observed wind data, to provide a comprehensive analysis of coastal dune changes related to the transition from vegetation-fixed dunes to the development of transgressive dunes. For the first time, morphological and vegetation dynamics are explored over a large spatial scale (tens of km), covering a range of initial dune morphology and sediment supply.
Dunes have transitioned from stable to transgressive states primarily driven by sediment stoss slope recycling process (cannibalism) across a gradient of alongshore variable dune sediment budget, ranging from slightly negative to notably positive (+10 to 15 m3/m/yr), Along this coast, transgressive dunes defined as dune migrating via similar stoss and lee slope migration rates, have tripled in number over the last 10 years (reaching ≈ 15 km or 17.3 % of the studied coast). At the center of the Gironde coast where dunes are heavily remobilised, the lee slope of the dune translates landward at a rate of several meters to more than 10 m/year. In the following years, dunes will probably continue to migrate and remobilise across a broader scale if no re-stabilization management plan is implemented.
温带地区的海岸沙丘,尤其是北半球的海岸沙丘,大多是相对稳定的。然而,在过去十年中,在2013-2014年冬季的主要海洋侵蚀事件之后,沿着吉伦特海岸(法国西南部)观察到大量沙丘的重新移动。本研究基于对一个强大数据集的分析,该数据集包括:(i) 12年(2011 - 2023年)期间进行的机载激光雷达调查得出的10个高分辨率数字地形模型(DTMs),以及(ii) 2017年至2023年期间获得的哨兵2号卫星图像得出的7个卫星衍生沙丘植被覆盖数字地图。这些形态和生物学参数与观测风资料的强迫参数相联系,提供了与植被固定沙丘向海侵沙丘发展过渡有关的海岸沙丘变化的综合分析。首次在大空间尺度(数十公里)上探索了沙丘的形态和植被动态,涵盖了沙丘的初始形态和泥沙供应。沙丘已经从稳定状态过渡到海侵状态,主要是由沉积物压力斜坡循环过程(同类相食)驱动的,沿着海岸变化的沙丘泥沙收支梯度,范围从轻微负到显著正(+10至15 m3/m/yr)。在这条海岸,海侵沙丘被定义为通过类似的压力和背风斜坡迁移速率进行沙丘迁移,在过去10年中数量增加了两倍(达到约15公里或17.3%的研究海岸)。在吉伦特海岸的中心,沙丘被大量地重新移动,沙丘的背风斜坡以每年几米到10多米的速度向陆地平移。在今后几年中,如果不执行重新稳定管理计划,沙丘可能会继续在更大范围内迁移和重新动员。
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引用次数: 0
Deciphering sediment connectivity drivers in the loess watershed of northwestern Hebei Province using machine learning and structural equation modeling 基于机器学习和结构方程模型的冀西北黄土流域沉积物连通性驱动因素解析
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-10 DOI: 10.1016/j.catena.2025.109752
Yibo Wang , Zhen Li , Yancang Li , Ke Wu , Zhiguo Qi , Zhe Li
Sediment connectivity is a crucial metric for characterizing erosion and sediment transport within watersheds, influenced by the complex interplay of multiple factors. However, current research has inadequately explored the cascading effects of these driving pathways. This study investigates a typical watershed in the loess region of northwestern Hebei, China, where 13 potential driving factors, such as topography, vegetation, and gully morphological features, are systematically extracted by combining high-precision DEMs with high-resolution GF-7 and Sentinel-2 imagery. A unique integrated analytical framework combining machine learning and structural equation modeling was developed. To assess factor relevance, Random Forest (RF) and Extreme Gradient Boosting (XGBoost) models were initially employed, followed by the selection of the optimal feature subset using Shapley values from SHapley Additive exPlanations (SHAP). Subsequently, a Partial Least Squares Structural Equation Model (PLS-SEM) was constructed to quantitatively evaluate the driving pathways influencing sediment connectivity. The results indicate that vegetation factors (NDVI, LAI), topographical factors (LS, Kp), and gully characteristics (A, L) are the primary variables identified by RF and XGBoost in combination with SHAP. With a high path value of 0.66, topography strongly increases sediment connectivity, while vegetation considerably reduces connectivity with a path coefficient of −0.45. Gully erosion contributes positively to sediment connectivity with a coefficient of 0.17 and is jointly controlled by vegetation (path coefficient = −0.10) and topography (path coefficient = 0.54). This primarily reflects topography's dominant control, which outweighs vegetation's comparatively little suppressive effect. Furthermore, regarding goodness-of-fit, the PLS-SEM model with optimal components outperformed the conventional SEM by 19.3 %. This study presents a novel multi-model integration framework that delivers innovative insights for driving factor selection, effect analysis, and cascading pathway assessment. It provides a robust analytical approach for investigating sediment connectivity mechanisms and offers theoretical guidance for optimizing soil and water conservation strategies in loess watersheds.
泥沙连通性是表征流域侵蚀输沙的重要指标,受多种因素复杂的相互作用影响。然而,目前的研究还没有充分探索这些驱动途径的级联效应。以冀西北黄土地区典型流域为研究对象,采用高精度dem与高分辨率GF-7和Sentinel-2影像相结合的方法,系统提取了地形、植被、沟谷形态等13个潜在驱动因子。建立了机器学习与结构方程建模相结合的独特集成分析框架。为了评估因子相关性,首先采用随机森林(RF)和极端梯度增强(XGBoost)模型,然后使用Shapley加性解释(SHAP)中的Shapley值选择最优特征子集。随后,构建了偏最小二乘结构方程模型(PLS-SEM),定量评价了影响沉积物连通性的驱动途径。结果表明,植被因子(NDVI、LAI)、地形因子(LS、Kp)和沟谷特征(A、L)是RF和XGBoost结合SHAP识别的主要变量。路径系数为- 0.45,地形显著增加沉积物连通性,路径系数为0.66,植被显著降低沉积物连通性。沟蚀对泥沙连通性有正向影响,其影响系数为0.17,受植被(径系数= - 0.10)和地形(径系数= 0.54)共同控制。这主要反映了地形的主导作用,超过了植被相对较小的抑制作用。此外,在拟合优度方面,具有最优成分的PLS-SEM模型比传统SEM模型高出19.3%。本研究提出了一个新的多模型集成框架,为驱动因素选择、效应分析和级联路径评估提供了创新的见解。这为研究黄土流域泥沙连通性机制提供了强有力的分析方法,并为优化黄土流域水土保持策略提供了理论指导。
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