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Distribution patterns of SOC fractions and mineralization on sloping erosion-prone farmland in the black soil region 黑土区坡耕地土壤有机碳组分及矿化分布规律
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-03-01 Epub Date: 2025-08-08 DOI: 10.1016/j.iswcr.2025.08.001
Mengni Li , Qingwen Zhang , Jeroen Meersmans , Aurore Degré
Soil organic carbon (SOC), primarily accumulated in the surface layers of sloping farmland, experiences disrupted distribution due to soil erosion, affecting its lateral transport and vertical sequestration. To gain a deeper understanding of the interaction between soil erosion and the carbon cycle, this study assessed the effects of two tillage practices, as slope-ridge tillage (SRT) and cross-ridge tillage (CRT), in controlling soil erosion on long gentle sloping farmland in the Northeast black soil region in China, while evaluating spatial variations in erosion rates, SOC content, and SOC fractions using the Caesium-137 (137Cs) technique combined with wavelet analysis. The findings revealed lower 137Cs inventories for both SRT (732.96 Bq·m−2) and CRT (1000.98 Bq·m−2) compared to the reference value (2468.77 Bq·m−2), confirming the occurrence of soil erosion. CRT showed a significantly lower erosion rate (3056.65 t km2·a−1) than SRT (4409.04 t km2·a−1), indicating greater effectiveness in erosion control. Wavelet analysis further uncovered periodic erosion-deposition patterns under both tillage practices, which corresponded to variations in SOC content and its fractions. A significant negative correlation was observed between SOC content and cumulative mineralization, with soil erosion rate emerging as a critical driver of these relationships. Correlation analysis confirmed that SOC fractions play a crucial role in driving SOC mineralization and are intricately linked with SOC dynamics. Random forest analysis identified soil erosion rate, SOC, and dissolved organic carbon (DOC) content as key factors influencing SOC mineralization under SRT. The findings suggest that CRT is more effective in reducing soil erosion by modifying microtopography, thereby minimizing the migration of mineral-associated organic carbon (MAOC) and enhancing SOC retention. This research provides critical insights for developing sustainable land management practices in the region, mitigating the adverse impacts of erosion on the carbon cycle.
土壤有机碳(SOC)主要集中在坡耕地表层,由于土壤侵蚀,其分布被打乱,影响了其横向运输和垂直固存。为了更深入地了解土壤侵蚀与碳循环的相互作用,本研究利用小波分析结合铯-137 (137Cs)技术评价了东北黑土区长坡耕地坡耕地土壤侵蚀速率、有机碳含量和有机碳组分的空间变化,并对坡垄耕作(SRT)和斜垄耕作(CRT)两种耕作方式对土壤侵蚀的控制效果进行了评价。结果表明,SRT (732.96 Bq·m−2)和CRT (1000.98 Bq·m−2)的137Cs库存量均低于参考值(2468.77 Bq·m−2),证实了土壤侵蚀的发生。CRT的侵蚀速率(3056.65 t km2·a−1)明显低于SRT (4409.04 t km2·a−1),表明其控制侵蚀的效果更好。小波分析进一步揭示了两种耕作方式下土壤有机碳含量及其组分变化的周期性侵蚀-沉积模式。土壤有机碳含量与累积矿化呈显著负相关,土壤侵蚀速率是影响这些关系的关键因素。相关分析证实,有机碳组分在有机碳矿化过程中起着至关重要的作用,并与有机碳动力学有着复杂的联系。随机森林分析表明,土壤侵蚀速率、土壤有机碳(SOC)和溶解有机碳(DOC)含量是影响土壤有机碳矿化的关键因素。研究结果表明,CRT通过改变微地形来减少土壤侵蚀,从而最大限度地减少矿物相关有机碳(MAOC)的迁移,提高有机碳的保留率。这项研究为该地区发展可持续土地管理实践提供了重要见解,减轻了侵蚀对碳循环的不利影响。
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引用次数: 0
Response of soil erosion and non-point source pollution to different rainfall, vegetation and land preparation measures in Miyun reservoir area during 2010–2023 2010-2023年密云库区土壤侵蚀和面源污染对不同降雨、植被和整地措施的响应
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 Epub Date: 2025-07-16 DOI: 10.1016/j.iswcr.2025.07.006
Runze Yang , Tianjiao Feng , Bin Wang , Wenzhao Guo , Fenzhong Wang , Zuoxiao Wang , Xiaoyu Liang , Zekun Zhao , Shilei Wang , Saskia Keesstra , Artemi Cerdà
Soil erosion and non-point source pollution are critical global environmental issues, with profound implications for ecosystems, agricultural productivity, and water quality. These problems are especially exacerbated in regions subjected to intense rainfall, where their impacts can be particularly severe. In China, the suburban areas of Beijing have experienced considerable challenges associated with both soil erosion and non-point source pollution. Under different rainfall types, the impact mechanisms of rainfall, vegetation, and land preparation on soil erosion and non-point source pollution are highly complex and have not yet been fully understood. This study is based on soil erosion (runoff, sediment yield) and non-point source pollution (TN, Total nitrogen; TP, Total phosphorus; COD, Chemical Oxygen Demand) data from 130 erosive rainfall events (Classified as light, moderate, heavy and extreme rainfall based on 24-h precipitation) across 16 runoff plots from 2010 to 2023. The runoff plots consist of different vegetation and land preparation measures. The characteristics of soil erosion and non-point source pollution under four different rainfall types and different soil conservation measures were compared. Additionally, the impacts of rainfall, vegetation, and land preparation on soil erosion and non-point source pollution under different rainfall types were explored. The results indicate that the frequency of extreme rainfall events accounts for only 16.9 % of erosive rainfall, yet the runoff, sediment yield, TN, TP, and COD they generate account for 40.7 %, 35.0 %, 37.9 %, 33.4 %, and 41.9 % of the total, respectively. Vegetation and land preparation measures have a significant effect on reducing runoff, sediment yield, TN, TP, and COD. The primary factor influencing runoff, TN, TP, and COD was maximum 30-min rainfall intensity (I30), with correlation coefficients of 0.33, 0.20, 0.30, and 0.28, respectively (p < 0.01). As rainfall intensity increases, the contribution of vegetation to soil erosion and non-point source pollution increases from 0.7 % under light rainfall to 41.1 % under extreme rainfall. The combined effect of vegetation and land preparation increases from 1.7 % to 14.4 % under extreme rainfall. Under the same rainfall conditions, the contribution of vegetation and land preparation to soil erosion is significantly higher than that to non-point source pollution. The study identifies the mechanisms by which rainfall, vegetation, and land preparation influence soil erosion and non-point source pollution under varying rainfall conditions. These findings offer valuable insights for soil conservation and non-point source pollution management, particularly in areas experiencing extreme rainfall events.
土壤侵蚀和非点源污染是严重的全球环境问题,对生态系统、农业生产力和水质有着深远的影响。在遭受强降雨的地区,这些问题尤其加剧,其影响可能特别严重。在中国,北京郊区经历了与土壤侵蚀和非点源污染相关的相当大的挑战。在不同降雨类型下,降雨、植被和整地对土壤侵蚀和非点源污染的影响机制非常复杂,尚未完全了解。本研究基于2010年至2023年16个径流区130次侵蚀性降雨事件(按24小时降水量分为轻、中、强和极端降雨)的土壤侵蚀(径流、产沙量)和非点源污染(TN、总氮、TP、总磷、COD、化学需氧量)数据。径流地块由不同的植被和整地措施组成。比较了4种不同降雨类型和不同水土保持措施下的土壤侵蚀和非点源污染特征。此外,还探讨了不同降雨类型下降雨、植被和整地对土壤侵蚀和面源污染的影响。结果表明,极端降雨事件发生频次仅占侵蚀雨量的16.9%,但其产生的径流、产沙、总氮、总磷和总COD分别占侵蚀雨量的40.7%、35.0%、37.9%、33.4%和41.9%。植被和整地措施对减少径流、产沙量、总氮、总磷和总COD有显著影响。影响径流、全氮、总磷和COD的主要因子是最大30 min降雨强度(I30),相关系数分别为0.33、0.20、0.30和0.28 (p < 0.01)。随着降雨强度的增加,植被对土壤侵蚀和非点源污染的贡献从小雨条件下的0.7%增加到极端降雨条件下的41.1%。在极端降雨条件下,植被和整地的综合效应从1.7%增加到14.4%。在相同降雨条件下,植被和整地对土壤侵蚀的贡献显著高于面源污染。该研究确定了降雨、植被和土地整理在不同降雨条件下影响土壤侵蚀和非点源污染的机制。这些发现为土壤保持和非点源污染管理提供了有价值的见解,特别是在经历极端降雨事件的地区。
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引用次数: 0
A data-driven impact evaluation of nutrient input reduction on wheat yields across Europe 数据驱动的养分投入减少对整个欧洲小麦产量的影响评估
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 Epub Date: 2025-07-28 DOI: 10.1016/j.iswcr.2025.07.012
Elise Van Eynde, Arthur Nicolaus Fendrich, Felipe Yunta, Arwyn Jones, Panos Panagos
The European Union (EU) is one of the largest cereal producers in the world, with wheat covering around one-third of its agricultural area. Sustainable soil management has been put as a key point of EU Green Deal policies, with concrete measures to reduce fertilizer application by 2030. However, uncertainty still exists about the expected impact of such a reduction on wheat yield across the EU. In this work, we construct a regression model to evaluate the possible impacts of fertilizer reduction and climate change on wheat yields by 2050. The regression model quantifies the effects of soil properties, soil management, and climate on wheat yields at the EU scale. In addition, we simulate two scenarios, one based on the EU fertilizer targets only and the other focusing on climate change impact (+4 °C). The results show an important effect of soil phosphorus, nitrogen, and potassium content, soil carbon-to-nitrogen ratio, and nitrogen inputs on the variation in wheat yields across the EU, next to climate. The scenario analysis suggests that reducing N and P inputs by 20 % leads to wheat yield losses of up to 5 %, an effect that can rise to 50 % yield reduction by 2050 under climate change. Fertilizer reduction leads to most significant yield decreases in France, Germany and Northern Italy, while climate change reduces yields mostly in Southern Europe. Beyond highlighting relevant regional patterns, our results show how EU fertilizer reduction targets are expected to have a small impact on wheat production compared to climate change.
欧盟(EU)是世界上最大的谷物生产国之一,小麦约占其农业面积的三分之一。可持续土壤管理已被列为欧盟绿色协议政策的重点,并提出了到2030年减少化肥施用的具体措施。然而,这种减产对整个欧盟小麦产量的预期影响仍然存在不确定性。在这项工作中,我们构建了一个回归模型来评估到2050年化肥减量和气候变化对小麦产量的可能影响。回归模型量化了土壤性质、土壤管理和气候对欧盟范围内小麦产量的影响。此外,我们还模拟了两种情景,一种仅基于欧盟肥料目标,另一种侧重于气候变化影响(+4°C)。结果表明,土壤磷、氮、钾含量、土壤碳氮比和氮投入对整个欧盟小麦产量的变化具有重要影响,仅次于气候。情景分析表明,减少20%的氮磷投入会导致小麦产量损失高达5%,在气候变化的影响下,到2050年,这一影响可能会增加到减产50%。减肥导致法国、德国和意大利北部的产量下降最为显著,而气候变化导致的产量下降主要发生在南欧。除了突出相关的区域模式外,我们的研究结果表明,与气候变化相比,欧盟减肥目标预计对小麦产量的影响很小。
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引用次数: 0
Assessing soil erosion vulnerability using a novel capacity–condition framework (CCF): A case study from New South Wales, Australia 利用新型能力条件框架(CCF)评估土壤侵蚀脆弱性:以澳大利亚新南威尔士州为例
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 Epub Date: 2025-07-05 DOI: 10.1016/j.iswcr.2025.07.002
Anilkumar Hunakunti, Alex B. McBratney, Budiman Minasny, Damien J. Field
Soil water erosion is a major threat to long-term soil sustainability. However, challenges remain in capturing how both natural and human-induced erosion processes interact over space and time to influence soil degradation. Current assessment methods often overlook how erosion simultaneously weakens the soil's inherent resistance (capacity) and degrades its current state (condition)-key drivers of long-term vulnerability and two core dimensions of soil security. To address this, we present a Capacity-Condition (CCF) framework, which quantifies erosion vulnerability using the erosion risk capability metric, which captures the gap between a soil's inherent resistance to erosion (capacity) and its erosion-altered state (condition). The framework employs the pedogeonon concept, identifying unique landscape units where the same soil-forming factors operate over time. Within each pedogeonon, two soil states are compared: genosoil (conditions influenced by natural erosion) and phenosoil (present state shaped by both natural and human-accelerated erosion). Capacity is assessed using genosoil indicators (clay ratio and topsoil thickness), and condition is evaluated using the phenosoil/genosoil ratio for the same indicators. Utility functions standardize these indicators on a 0–1 scale, enabling their aggregation into composite scores. When applied to New South Wales (NSW), Australia, the framework identified regions most vulnerable to erosion. Coastal areas and the upper northwest, characterized by intensive dry cropping and grazing on modified pastures, exhibited the highest risk values, indicating a lower capability to withstand future erosion. Conversely, regions with mixed land use-including grazing on native vegetation, intensive horticulture, and irrigated cropping-showed moderate risk, demonstrating the framework's utility for targeted, spatially explicit soil conservation and land management planning.
水土流失是土壤长期可持续性的主要威胁。然而,在了解自然和人为侵蚀过程如何在空间和时间上相互作用从而影响土壤退化方面仍然存在挑战。目前的评估方法往往忽略了侵蚀如何同时削弱土壤的内在抵抗力(能力)和恶化其当前状态(条件)——长期脆弱性的关键驱动因素和土壤安全的两个核心维度。为了解决这个问题,我们提出了一个容量-条件(CCF)框架,该框架使用侵蚀风险能力度量来量化侵蚀脆弱性,该度量捕获了土壤固有的抗侵蚀能力(能力)与其侵蚀改变状态(条件)之间的差距。该框架采用了土壤的概念,确定了独特的景观单元,其中相同的土壤形成因素随着时间的推移而起作用。在每个土壤区内,比较了两种土壤状态:基因土壤(受自然侵蚀影响的条件)和表型土壤(由自然和人为加速侵蚀形成的现状)。利用基因土壤指标(粘土比和表土厚度)评估能力,并利用相同指标的表型土壤/基因土壤比评估条件。效用函数将这些指标按0-1的等级进行标准化,使其能够聚合成综合分数。当应用于澳大利亚新南威尔士州(NSW)时,该框架确定了最容易受到侵蚀的地区。沿海地区和西北北部以集约旱作和改良草场放牧为特征,其风险值最高,表明其抵御未来侵蚀的能力较低。相反,混合土地利用(包括放牧原生植被、集约化园艺和灌溉种植)的地区显示出中等风险,这表明该框架在有针对性的、空间明确的土壤保持和土地管理规划方面具有实用价值。
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引用次数: 0
Subsoil tillage and straw mulching are synergistic for long-term improvement of soil carbon and structural characteristics 底土耕作和秸秆覆盖对土壤碳和结构特征的长期改善具有协同作用
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 Epub Date: 2025-07-25 DOI: 10.1016/j.iswcr.2025.07.011
Yonghui Yang , Hao Liu , Yunhong Zhang , Cuimin Gao , Weifeng Han , Xiaoying Pan , Fang He , Darrell W.S. Tang
Subsoil tillage (S) improves the stability and quality of soil organic carbon (SOC) and soil structure. Combining straw mulching with subsoil tillage (SS) may further improve soil physical and biogeochemical properties, whilst enabling abundant straw resources to be productively and sustainably recycled. To address knowledge gaps regarding these treatments’ effects under long-term application and at deeper soil layers, we conducted a 14-year field experiment and analyzed changes to SOC, soil aggregate characteristics, SOC associated with various soil aggregate sizes, and soil structural stability indicators at high spatial resolution down to 1 m depth. Results indicate that SS increased the proportion of 0.5–2.0 mm soil aggregates throughout much of the soil profile, but decreased the proportion of smaller <0.25 mm aggregates at 0–20 cm depth. SS increased the total organic carbon (TOC) at 0–20 cm, TOC and labile organic carbon (LOC) content of various aggregate sizes at various depths, the relative contribution of 0.5–2.0 mm aggregates to TOC at 0–40 cm, and multiple soil structure stability indices at 0–20 cm. Although both S and SS improved soil properties, the spatial and quantitative extents of the improvements are greater under SS. Correlation analyses indicate that improvements in SOC, soil stability, and aggregate properties are positively correlated, implying minimal trade-offs in prioritizing SS over S. These findings highlight long-term synergistic interactions: subsoiling mixes decomposed straw mulch applied in previous years into deeper soil, reinforcing the interdependent processes of aggregate formation and stabilization, along with SOC generation and protection, across more extensive soil depths.
底土耕作改善了土壤有机碳(SOC)和土壤结构的稳定性和质量。秸秆覆盖与底土耕作相结合可以进一步改善土壤的物理和生物地球化学性质,同时使丰富的秸秆资源得到有效和可持续的循环利用。为了解决这些处理在长期应用和较深层土层的影响方面的知识空白,我们进行了14年的田间试验,分析了高空间分辨率下土壤有机碳、土壤团聚体特征、与不同土壤团聚体尺寸相关的有机碳以及土壤结构稳定性指标的变化。结果表明,SS增加了0.5-2.0 mm团聚体在大部分土壤剖面上的比例,但减少了0-20 cm深度的较小<;0.25 mm团聚体的比例。SS增加了0 ~ 20 cm土层的总有机碳(TOC)、不同粒径团聚体在不同深度的TOC和活性有机碳(LOC)含量、0.5 ~ 2.0 mm团聚体对0 ~ 40 cm土层TOC的相对贡献以及0 ~ 20 cm土层的多种结构稳定性指标。虽然S和SS都改善了土壤性质,但在空间和数量上,SS的改善程度更大。相关分析表明,土壤有机碳、土壤稳定性和团聚体性质的改善是正相关的,这意味着优先考虑SS比S的权衡最小。深埋混合土将前几年施用的秸秆覆盖分解到更深的土壤中,加强了团聚体形成和稳定的相互依赖过程,以及在更广泛的土壤深度产生和保护有机碳。
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引用次数: 0
Soil degradation: An integrated model of the causes and drivers 土壤退化:原因和驱动因素的综合模型
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 Epub Date: 2025-07-21 DOI: 10.1016/j.iswcr.2025.07.010
Peter M. Kopittke , Stephen M. Harper , Luz G. Asio , Victor B. Asio , Juanito T. Batalon , April Mae T. Batuigas , Apolinario B. Gonzaga Jr. , Nelda R. Gonzaga , Maria Teresa L. de Guzman , Deejay M. Lumanao , Brigid A. McKenna , Gennie B. Soyon , Joana Rose M. Vergara , Pearl B. Sanchez
Soil plays a critical role in seven existential challenges that threaten sustainable development of human society. However, despite this integrative role, humans generally focus on the use of soil to produce the 98.8 % of calories that the growing human population demands while failing to appreciate the less tangible role of soil in other existential challenges such as climate change abatement. Our current agricultural management approaches are causing ongoing soil degradation, manifested as the loss of soil organic matter, acidification, over-application of fertilizers, erosion, salinization, contamination, and biodiversity loss. However, to develop workable, sustainable, and equitable solutions, these proximate causes of degradation need to be considered in combination with the socio-economic factors that are the underlying drivers of this soil degradation, including the economic drivers, land pressure, poverty, security of land tenure, the differences between on-site and off-site impacts of degradation, and the impact of policies. Consideration must also be given to the importance of both intergenerational and developmental equity, whereby the current generation considers future generations, and where developed countries consider those that are still developing. Through this approach, we present a novel, integrated framework for soil degradation that bridges biophysical and socio-economic dimensions of soil degradation, with this providing an approach for advancing global soil security as required to maintain planetary hospitability, both now and into the future.
土壤在威胁人类社会可持续发展的七大生存挑战中发挥着关键作用。然而,尽管具有这种综合作用,人类通常关注的是利用土壤来生产不断增长的人口所需的98.8%的卡路里,而没有意识到土壤在其他生存挑战(如气候变化减缓)中不那么明显的作用。我们目前的农业管理方法正在造成持续的土壤退化,表现为土壤有机质的流失、酸化、化肥的过度施用、侵蚀、盐碱化、污染和生物多样性的丧失。然而,为了制定可行、可持续和公平的解决方案,需要将这些退化的直接原因与作为土壤退化潜在驱动因素的社会经济因素结合起来考虑,包括经济驱动因素、土地压力、贫困、土地保有权的安全、退化的现场和场外影响之间的差异以及政策的影响。还必须考虑到代际平等和发展平等的重要性,即当代人考虑子孙后代,发达国家考虑仍在发展的人。通过这种方法,我们提出了一种新颖的土壤退化综合框架,将土壤退化的生物物理和社会经济层面联系起来,为现在和未来维持地球宜居性所需的全球土壤安全提供了一种方法。
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引用次数: 0
Sediment source determination comparing rare earth element tracing and composite fingerprinting approaches on hillslopes 比较稀土元素示踪法和复合指纹法在山坡上沉积物来源的测定
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 Epub Date: 2025-05-20 DOI: 10.1016/j.iswcr.2025.05.007
Jiaqiong Zhang , Minfeng Yin , Kaizu Wu , Ruru Bai , Yueting Shang , Mingyi Yang , Yingge Xie
<div><div>Both the rare earth element (REE) tracing and the composite fingerprinting approaches are valuable for sediment source identification. However, few studies have compared the accuracy of sediment source determination based on these two approaches, particularly for coarse-textured soils. This study combined simulated rainfall experiments with artificial mixtures, providing validation data for sediment contribution estimation. Simulated rainfall experiments were conducted using lanthana (La<sub>2</sub>O<sub>3</sub>), yttria (Y<sub>2</sub>O<sub>3</sub>), and ceria (CeO<sub>2</sub>) separately tagged Acrisols, Chernozems, and Arenosols at 10°, 15°, and 20° slope gradients under a 120 mm h<sup>−1</sup> rainfall intensity. Sediment from different soils during 1-h (1 h) erosion process was continuously and separately collected within a 6-min time interval. Then, artificial mixtures were created using sediment from different soils over the same collection time. Sediment contributions were estimated using bulk samples (i.e., <1000 μm) for REE tracing, while they were estimated using a series of particle size ranges (i.e., <10, 10–63, 63–125, 125–250, 250–500, and 500–1000 μm) according to the composite fingerprinting for different source soil groups (i.e., Acrisols–Chernozems, Acrisols–Arenosols, Chernozems–Arenosols, and Acrisols–Chernozems–Arenosols). Here, we also analyzed the impacts of particle correction based on REE enrichment ratio (<em>ER</em>) within fine particles (<10, <63, and 10–63 μm). The results showed that sediment contribution accuracy based on the bulk samples was relatively high for both fine-textured and coarse-textured soils (RMSE<13.4%) on hillslopes, with or without adopting the particle correction factor. Whereas the accuracy of sediment contributions determined using different particle size ranges greatly varied for fine-textured source soils, while all the results presented significant (<em>p</em> < 0.05) differences compared to those obtained using the sediment weighting approach when coarse-textured source soil was included. Moreover, particle correction based on <em>ER</em> values of fine particle size fractions in which REEs were mainly enriched had no obvious effects on decreasing sediment contribution estimation bias. Additionally, particle correction had a high risk of decreasing estimation accuracy of sediment contributions using both REE tracing and the composite fingerprinting approaches. For the bulk samples, <em>ER</em>-corrected sediment contributions were significantly different (<em>p</em> < 0.05) from sediment weighting and uncorrected results when a coarse-textured soil (i.e., Arenosols) was included in the source soils. This was also the case for Acrisols and Chernozems, particularly on 15° hillslopes. Clearly, both REE tracing and composite fingerprinting are useful for sediment source determination, and sediment bulk samples normally provide robust results. Additionally, particl
稀土示踪法和复合指纹法在沉积物源识别中都具有重要的应用价值。然而,很少有研究比较基于这两种方法确定沉积物来源的准确性,特别是对于粗糙质地的土壤。本研究将模拟降雨试验与人工混合试验相结合,为泥沙贡献估算提供了验证数据。利用镧(La2O3)、钇(Y2O3)和铈(CeO2)分别标记Acrisols、Chernozems和Arenosols,在10°、15°和20°坡度下进行了模拟降雨实验,降雨强度为120 mm h - 1。在6 min的时间间隔内,连续收集不同土壤在1 h (1 h)侵蚀过程中的沉积物。然后,在相同的收集时间内,使用来自不同土壤的沉积物制成人工混合物。沉积物的贡献采用块状样品(即<;1000 μm)进行REE示踪,而根据不同源土组(即Acrisols-Chernozems、Acrisols-Arenosols、Chernozems-Arenosols、Acrisols-Arenosols和Acrisols-Chernozems - arenosols)的复合指纹图谱,采用一系列粒度范围(即<;10、10 - 63、63-125、125-250、250-500和500-1000 μm)进行估算。在此,我们还分析了基于细颗粒(<10, <;63和10 - 63 μm)内REE富集比(ER)的颗粒校正的影响。结果表明,无论是否采用颗粒校正因子,基于体样的细质土和粗质土沉积物贡献精度均较高(rmse13.4%)。而在细质源土中,不同粒度范围确定的泥沙贡献精度差异很大,而在粗质源土中,所有结果都与采用泥沙加权法获得的结果存在显著差异(p < 0.05)。此外,基于稀土元素富集的细粒度组分的ER值进行粒子校正对减小沉积物贡献估算偏差没有明显作用。此外,粒子校正有降低稀土示踪和复合指纹法估算沉积物贡献的精度的高风险。对于散装样品,当源土壤中包含粗质土壤(即砂硝土)时,er校正的沉积物贡献与沉积物加权和未校正的结果显著不同(p < 0.05)。Acrisols和Chernozems也是如此,特别是在15°山坡上。显然,稀土元素示踪和复合指纹图谱对于沉积物来源的确定都是有用的,沉积物样品通常提供可靠的结果。此外,当沉积物分选效果较弱时,不建议进行颗粒校正。
{"title":"Sediment source determination comparing rare earth element tracing and composite fingerprinting approaches on hillslopes","authors":"Jiaqiong Zhang ,&nbsp;Minfeng Yin ,&nbsp;Kaizu Wu ,&nbsp;Ruru Bai ,&nbsp;Yueting Shang ,&nbsp;Mingyi Yang ,&nbsp;Yingge Xie","doi":"10.1016/j.iswcr.2025.05.007","DOIUrl":"10.1016/j.iswcr.2025.05.007","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Both the rare earth element (REE) tracing and the composite fingerprinting approaches are valuable for sediment source identification. However, few studies have compared the accuracy of sediment source determination based on these two approaches, particularly for coarse-textured soils. This study combined simulated rainfall experiments with artificial mixtures, providing validation data for sediment contribution estimation. Simulated rainfall experiments were conducted using lanthana (La&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;), yttria (Y&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;), and ceria (CeO&lt;sub&gt;2&lt;/sub&gt;) separately tagged Acrisols, Chernozems, and Arenosols at 10°, 15°, and 20° slope gradients under a 120 mm h&lt;sup&gt;−1&lt;/sup&gt; rainfall intensity. Sediment from different soils during 1-h (1 h) erosion process was continuously and separately collected within a 6-min time interval. Then, artificial mixtures were created using sediment from different soils over the same collection time. Sediment contributions were estimated using bulk samples (i.e., &lt;1000 μm) for REE tracing, while they were estimated using a series of particle size ranges (i.e., &lt;10, 10–63, 63–125, 125–250, 250–500, and 500–1000 μm) according to the composite fingerprinting for different source soil groups (i.e., Acrisols–Chernozems, Acrisols–Arenosols, Chernozems–Arenosols, and Acrisols–Chernozems–Arenosols). Here, we also analyzed the impacts of particle correction based on REE enrichment ratio (&lt;em&gt;ER&lt;/em&gt;) within fine particles (&lt;10, &lt;63, and 10–63 μm). The results showed that sediment contribution accuracy based on the bulk samples was relatively high for both fine-textured and coarse-textured soils (RMSE&lt;13.4%) on hillslopes, with or without adopting the particle correction factor. Whereas the accuracy of sediment contributions determined using different particle size ranges greatly varied for fine-textured source soils, while all the results presented significant (&lt;em&gt;p&lt;/em&gt; &lt; 0.05) differences compared to those obtained using the sediment weighting approach when coarse-textured source soil was included. Moreover, particle correction based on &lt;em&gt;ER&lt;/em&gt; values of fine particle size fractions in which REEs were mainly enriched had no obvious effects on decreasing sediment contribution estimation bias. Additionally, particle correction had a high risk of decreasing estimation accuracy of sediment contributions using both REE tracing and the composite fingerprinting approaches. For the bulk samples, &lt;em&gt;ER&lt;/em&gt;-corrected sediment contributions were significantly different (&lt;em&gt;p&lt;/em&gt; &lt; 0.05) from sediment weighting and uncorrected results when a coarse-textured soil (i.e., Arenosols) was included in the source soils. This was also the case for Acrisols and Chernozems, particularly on 15° hillslopes. Clearly, both REE tracing and composite fingerprinting are useful for sediment source determination, and sediment bulk samples normally provide robust results. Additionally, particl","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"13 4","pages":"Pages 876-891"},"PeriodicalIF":7.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183840","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}
引用次数: 0
Forest restoration in tropical forests recovers topsoil water retention but does not improve deep soil layers 热带森林的森林恢复恢复了表层土壤的保水能力,但没有改善深层土壤
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 Epub Date: 2025-05-09 DOI: 10.1016/j.iswcr.2025.05.002
Qiaoyan Chen , Siyuan Cheng , Shuting Yu , Xiaowei Guo , Zhongyi Sun , Zhongmin Hu , Licong Dai
Tropical primary forests have been rapidly reduced in recent decade owing to slash-and-burn, leading to the formation of tropical secondary forests in different recovery stages. However, it is still unclear whether the soil water retention capacity in secondary forests can recover to the level of soil water retention in old-growth forest. In this study, three recovery stages of tropical secondary forests (i.e. early recovery stage, middle recovery stage, late recovery stage), and old-growth forest were selected for comparison in tropical forests on Hainan Island. By using spatiotemporal substitution method, we investigated the variation of soil water retention in three recovery stages and old-growth forest, and revealed its dominant controlling factors. The results showed that 0–60 cm soil water retention was improved as recovery stage progresses. Specifically, the topsoil (0–10 cm) soil water retention in later stage almost could recover the level of old-growth forest, whereas the deep soil (10–60 cm) water retention may not recover the level of old-growth forest as recovery stage progresses. Additionally, the soil structure and soil nutrients also improve while the soil aggregates stability reduced as recovery stage progresses. Among these properties, total porosity was found to be the most important factor controlling soil water retention, accounting for 27.44 %, followed by bulk density (19.62 %) and capillary porosity (16.83 %), but soil particle size composition had a weakly effect on soil water retention. Overall, our results suggested that forest restoration is effective measures improve topsoil water retention capacity, but the deep soil water retention capacity may need more years to recovery. These findings have implications for the management and retention of primary forests and the restoration of secondary forests.
近十年来,由于刀耕火种,热带原始森林迅速减少,导致在不同恢复阶段形成热带次生林。但是,次生林的土壤保水能力能否恢复到原生林的水平,目前还不清楚。本研究选取海南岛热带森林的三个恢复阶段(恢复早期、恢复中期、恢复后期)和原生林进行比较。采用时空替代法,研究了不同恢复阶段和原生林土壤持水量的变化规律,揭示了其主导控制因素。结果表明:随着恢复阶段的推进,0 ~ 60 cm土壤保水能力增强。其中,表层土壤(0 ~ 10 cm)后期保水基本可以恢复原生林的水平,而深层土壤(10 ~ 60 cm)随着恢复阶段的推进,保水可能无法恢复原生林的水平。此外,随着恢复阶段的进展,土壤结构和土壤养分也有所改善,土壤团聚体稳定性降低。其中,总孔隙度是控制土壤保水的最重要因素,占27.44%,其次是容重(19.62%)和毛管孔隙度(16.83%),而土壤粒度组成对土壤保水的影响较弱。综上所述,森林恢复是提高表层土壤保水能力的有效措施,但深层土壤保水能力可能需要较长时间才能恢复。这些发现对原始森林的管理和保留以及次生林的恢复具有启示意义。
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引用次数: 0
The rising threat of subsoil salinization in drylands 旱地地下盐碱化的威胁日益严重
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 Epub Date: 2025-05-10 DOI: 10.1016/j.iswcr.2025.05.003
Jingzhe Wang , Jianli Ding , Ivan Lizaga , Ajay Singh , Paolo Tarolli
{"title":"The rising threat of subsoil salinization in drylands","authors":"Jingzhe Wang ,&nbsp;Jianli Ding ,&nbsp;Ivan Lizaga ,&nbsp;Ajay Singh ,&nbsp;Paolo Tarolli","doi":"10.1016/j.iswcr.2025.05.003","DOIUrl":"10.1016/j.iswcr.2025.05.003","url":null,"abstract":"","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"13 4","pages":"Pages 1044-1045"},"PeriodicalIF":7.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183841","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}
引用次数: 0
Impact of soil compaction on the rill erosion of Mollisol by waterflow: A comparative analysis before and after the seasonal freezing and thawing 土壤压实对水流对Mollisol细沟侵蚀的影响:季节冻融前后的对比分析
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 Epub Date: 2025-05-21 DOI: 10.1016/j.iswcr.2025.05.006
Boxiang Zhang , Yanfeng Jia , Haoming Fan , Chengjiu Guo , Fangli Su , Shuang Li , Juan Fu , Xi Zhang , Mingyao Yu , Mingchun Yang , Renming Ma
Soil erosion resulting from soil compaction and freeze-thaw action is a major global environmental issue in intensively mechanized agricultural and cold regions. Existing studies predominantly focus on the direct effects of freeze-thaw cycles on soil erosion, yet overlook the legacy effects of pre-freeze-thaw soil compaction. This study aimed to reveal the cross-temporal impact mechanisms of pre-freeze-thaw soil compaction on post-freeze-thaw soil erosion and how soil properties drive these effects. A comparative study was conducted in the Mollisol region of Northeast China by utilizing in situ field erosion experiments and soil property measurements under various compaction levels before and after the freeze-thaw period. Results showed that before the freeze-thaw period, compaction significantly increased total runoff and sediment mass (p < 0.05). After the freeze-thaw period, the sediment mass of compacted soil decreased by 1.84 %–57.73 % compared to before the freeze-thaw period, but still increased by 28.59 %–148.22 % compared to uncompacted soil. The structural equation model revealed that before the freeze-thaw period, the influence of soil properties on runoff was greater than their direct effect on sediment mass, and the sediment mass variation was mainly driven by runoff scouring due to soil compaction. After the freeze-thaw period, the decreased soil erosion resistance (aggregate stability and soil strength) and the increased runoff caused by the legacy effects of compaction were the primary reasons for higher sediment mass in compacted soil compared to uncompacted soil. This study highlights the crucial role of human activities before the freeze-thaw period in influencing subsequent erosion dynamics, providing essential insights for erosion control and soil restoration in vulnerable farmlands.
土壤压实和冻融作用导致的土壤侵蚀是农业集约化和寒冷地区的主要全球性环境问题。现有研究主要关注冻融循环对土壤侵蚀的直接影响,而忽视了冻融前土壤压实的遗留效应。本研究旨在揭示冻融前土壤压实对冻融后土壤侵蚀的跨时间影响机制,以及土壤性质如何驱动这些影响。采用冻融前后不同压实程度下的土壤侵蚀试验和土壤性质测量,对东北Mollisol地区进行了对比研究。结果表明,冻融期前,压实作用显著增加了总径流量和泥沙量(p < 0.05)。冻融期结束后,压实土的沉积物质量比冻融前减少了1.84% ~ 57.73%,但仍比未压实土增加了28.59% ~ 148.22%。结构方程模型表明,在冻融期之前,土壤性质对径流的影响大于其对沙质的直接影响,沙质变化主要由土壤压实引起的径流冲刷驱动。冻融期后,压实遗留效应导致的土壤抗侵蚀能力(团聚体稳定性和土壤强度)下降和径流量增加是压实土比未压实土含沙量大的主要原因。该研究强调了冻融期前人类活动对随后侵蚀动态的重要影响,为脆弱农田的侵蚀控制和土壤修复提供了重要的见解。
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引用次数: 0
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International Soil and Water Conservation Research
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