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Going Underground: Soil's Role in Nature Recovery 进入地下:土壤在自然恢复中的作用
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-12-01 DOI: 10.1111/ejss.70208
T. Juniper, E. Y. Reed

Soil is one of the most important parts of the natural environment but is in serious decline. At risk are the planet's life support systems including clean water and air, food security, carbon storage, flood and drought reduction and thriving wildlife. Natural England recognises that improving soil health is an essential step towards meeting the twin challenges of recovering Nature and addressing climate change. To achieve this, we need to understand soil health and the many capabilities of soil to support sustainable land use and management, enabling natural soil processes that deliver ecosystem services in the long term.

土壤是自然环境中最重要的组成部分之一,但其数量正在严重减少。面临风险的是地球的生命支持系统,包括清洁的水和空气、粮食安全、碳储存、减少洪涝和干旱以及蓬勃发展的野生动物。英国自然协会认识到,改善土壤健康是应对恢复自然和应对气候变化这两大挑战的必要步骤。为了实现这一目标,我们需要了解土壤健康和土壤的许多能力,以支持可持续土地利用和管理,使自然土壤过程能够长期提供生态系统服务。
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引用次数: 0
Predicting Soil Properties Using Spectral Subsets of LUCAS Visible Near-Infrared Spectroscopy Data 利用LUCAS可见近红外光谱数据的光谱子集预测土壤性质
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-11-27 DOI: 10.1111/ejss.70242
Fatemeh Hateffard, Thomas Gumbricht, Theodor Ranhem, Timo Breure, Panos Panagos, Gustaf Hugelius

Soil health is critical for sustaining ecosystem functions and addressing environmental challenges. Effective soil health management requires reliable methods for assessing soil properties. Soil spectroscopy may allow resource-effective assessment of soil properties, but more knowledge is needed to transfer knowledge from laboratory-grade spectrometers to in-field data acquisition. This study explores the predictive potential of selected spectral subsets from the full visible and near-infrared (VIS–NIR) range, using various machine learning algorithms (MLAs), as a theoretical exercise to support the design of practical soil sensing tools. Specifically, we evaluated whether narrower spectral ranges can provide predictions comparable to those achieved with the full VIS–NIR spectrum. The ranges are chosen to emulate the spectral coverage and resolution of commercially available sensors which are candidates for widespread and resource-effective data collection. We used the VIS–NIR spectral data (400–2500 nm) alongside laboratory analyses of several soil properties to be predicted from the pan-European LUCAS dataset. We employed four different MLAs for estimating soil properties: support vector regression (SVR), cubist, random forest (RF), and multi-layer perceptron (MLP), which were benchmarked against ordinary least squares regression. Our results showed that spectral subset ranges of 1000–2500 nm and 1350–2500 nm (emulating Trinamix and NeoSpectra sensors, respectively) yielded prediction accuracies similar to the full spectrum. Spectral subsets limited to the visible and early NIR range (350–1000 nm) were less effective. The most informative spectral features were found in wavelengths above approximately 1750 nm. Among MLAs, MLP consistently delivered the best performance, particularly when estimating organic carbon, nitrogen, pH and clay, which were predicted with greater accuracy compared to potassium (K), phosphorus (P) and coarse fragments (CF) which cannot yet be robustly predicted from spectral data alone. This study provides preliminary insight into the spectral regions most relevant for soil property prediction. These findings may inform future development and optimisation of real-world soil sensors. Validation with actual sensor data, both on dried and in situ samples, remains an important next step.

土壤健康对于维持生态系统功能和应对环境挑战至关重要。有效的土壤健康管理需要可靠的评估土壤特性的方法。土壤光谱学可以对土壤特性进行资源有效的评估,但需要更多的知识来将实验室级光谱仪的知识转化为现场数据采集。本研究探索了全可见光和近红外(VIS-NIR)范围内选定光谱子集的预测潜力,使用各种机器学习算法(MLAs)作为理论练习,以支持实际土壤传感工具的设计。具体来说,我们评估了较窄的光谱范围是否可以提供与全VIS-NIR光谱相当的预测。选择这些范围是为了模拟商用传感器的光谱覆盖范围和分辨率,这些传感器是广泛和资源有效数据收集的候选者。我们使用了VIS-NIR光谱数据(400-2500 nm),并对来自泛欧洲LUCAS数据集的几种土壤特性进行了实验室分析。我们使用了四种不同的MLAs来估计土壤性质:支持向量回归(SVR)、立体回归(cubist)、随机森林(RF)和多层感知器(MLP),它们与普通最小二乘回归进行了基准测试。我们的研究结果表明,光谱子集范围为1000 - 2500nm和1350 - 2500nm(分别模拟Trinamix和NeoSpectra传感器)的预测精度与全光谱相似。局限于可见光和早期近红外范围(350-1000 nm)的光谱子集效果较差。在大约1750 nm以上的波长中发现了最有信息的光谱特征。在mla中,MLP始终提供最好的性能,特别是在估计有机碳、氮、pH和粘土时,与钾(K)、磷(P)和粗片段(CF)相比,它们的预测精度更高,而钾(K)、磷(P)和粗片段(CF)尚不能仅从光谱数据进行可靠预测。这项研究为土壤性质预测提供了最相关的光谱区域的初步见解。这些发现可能为现实世界土壤传感器的未来发展和优化提供信息。对干燥和原位样品的实际传感器数据进行验证仍然是重要的下一步。
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引用次数: 0
Editorial for Special Issue on “Soil Solutions for a Sustainable World” “可持续发展世界的土壤解决方案”特刊社论
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-11-22 DOI: 10.1111/ejss.70227
Loes van Schaik, Mathilde Hagens, Slava Vasenev, Giulia Bongiorno

Soil is a vitally important resource supplying numerous ecosystem services such as the provision of food, water purification, nutrient regulation, and biodiversity (Adhikari and Hartemink 2016; Pereira et al. 2018). At the same time soils are increasingly impacted by natural and anthropogenic soil threats such as erosion, contamination and sealing (JRC: Institute for Environment and Sustainability et al. 2015). For example, Sonderegger and Pfister (2021) estimate a long-term global productivity loss of 15% in high-input production areas, of which 43% is due to compaction and 57% due to erosion. The past decades have seen a worldwide increasing pressure on soils due to population growth (Brown 1981), which led to ongoing urbanization (Sun et al. 2023), intensification of agriculture (Kopittke et al. 2019) and a decrease in the maintenance of traditional land use–land management systems, such as extensive ranging or hedgerows and terraces (Plieninger et al. 2006; Arnaiz-Schmitz et al. 2018; Durán et al. 2020). In addition to these developments, climate change, with increases in extreme weather events, both in terms of longer meteorological droughts as well as shorter, more intense rainfall events (Furtak and Wolińska 2023), has led to more frequent and more severe floods and droughts and a worldwide increase in soil degradation (Montanarella et al. 2016). Thus the ecosystem services provided by soils are declining due to anthropogenic activities, while at the same time mankind is dependent on these different ecosystem services.

In view of these challenges, there is a move in research and practice toward more sustainable soil and land management to recover degraded soils and maintain or improve soil health, namely the capacity of soil to function (Lehmann et al. 2020). The ecosystem services supplied by soils are the result of multiple concurrently acting soil functions, which can be supported by sustainable soil and land management using e.g., land management frameworks (Schulte et al. 2014). The United Nations (1992) defines sustainable land management (SLM) as “The use of land resources, including soils, water, animals and plants, for the production of goods to meet changing human needs, while simultaneously ensuring the long-term productive potential of these resources and the maintenance of their environmental functions.” Despite the development of decision support systems at the field scale (Debeljak et al. 2019), quantification of the influence of sustainable land management practices on several soil functions remains challenging. Important steps to improve this quantification are the inclusion of biological soil indicators in soil health assessments (Vazquez et al. 2025), improvement of spatiotemporal measurement me

土壤是一种至关重要的资源,提供多种生态系统服务,如提供食物、水净化、营养调节和生物多样性(Adhikari and Hartemink 2016; Pereira et al. 2018)。与此同时,土壤越来越多地受到侵蚀、污染和密封等自然和人为土壤威胁的影响(JRC: Institute for Environment and Sustainability et al. 2015)。例如,Sonderegger和Pfister(2021)估计,在高投入生产地区,全球长期生产力损失为15%,其中43%是由于压实,57%是由于侵蚀。过去几十年,由于人口增长(Brown 1981),全球范围内的土壤压力越来越大,这导致了持续的城市化(Sun等人,2023)、农业集约化(Kopittke等人,2019)以及传统土地利用-土地管理系统的维护减少,如广泛的范围或树篱和梯田(Plieninger等人,2006;Arnaiz-Schmitz等人,2018;Durán等人,2020)。除了这些发展之外,气候变化,极端天气事件的增加,无论是更长时间的气象干旱,还是更短、更强的降雨事件(Furtak和Wolińska 2023),都导致了更频繁、更严重的洪水和干旱,以及全球范围内土壤退化的加剧(Montanarella等人,2016)。因此,由于人为活动,土壤提供的生态系统服务正在下降,而与此同时,人类又依赖于这些不同的生态系统服务。鉴于这些挑战,研究和实践正朝着更可持续的土壤和土地管理的方向发展,以恢复退化的土壤,保持或改善土壤健康,即土壤的功能能力(Lehmann et al. 2020)。土壤提供的生态系统服务是多种同时起作用的土壤功能的结果,可以通过土地管理框架等可持续土壤和土地管理来支持(Schulte et al. 2014)。联合国(1992)将可持续土地管理(SLM)定义为“利用土地资源,包括土壤、水、动物和植物,生产满足不断变化的人类需求的商品,同时确保这些资源的长期生产潜力并维持其环境功能。”尽管在田间尺度上发展了决策支持系统(Debeljak et al. 2019),但量化可持续土地管理实践对几种土壤功能的影响仍然具有挑战性。改善这一量化的重要步骤是将生物土壤指标纳入土壤健康评估(Vazquez等人,2025),改进时空测量方法(Otten等人,2021),以及在不同尺度上对土壤过程和功能进行建模(Zeng等人,2025;Bancheri等人,2025)。此外,为了评估土壤可持续管理在空间和时间上对土壤功能的影响,有必要采用监测、制图和(不确定性)评估方法(Poggio et al. 2016; Orgiazzi et al. 2018; Helfenstein et al., 2024)。通过提供重要的生态系统服务,土壤有可能通过所谓的基于自然的解决方案(Sowińska-Świerkosz和García 2022)为解决若干全球挑战做出贡献。欧盟委员会将NBS定义为“受自然启发和支持的解决方案,具有成本效益,同时提供环境、社会和经济效益,并有助于建立复原力。”这些解决方案通过因地制宜、资源高效和系统的干预,为城市、景观和海景带来更多、更多样化的自然和自然特征和过程。”国家生态系统被认为是城市蓝绿色基础设施可持续发展的基本要素,也是增强生态系统服务(如减轻洪水、适应气候变化和维持生物多样性)的有效工具(DeLosRíos-White et al. 2020)。本期特刊对2023年瓦赫宁根土壤会议的这四个关键主题作出了贡献,将总结如下。在对2023年瓦赫宁根土壤会议以及本期特刊的贡献中所经历的主题宽度代表了土壤研究在非常广泛的意义上取得的进展。这些贡献共同促进了对土壤性质和过程、它们与生态系统服务的联系以及土壤与社会相互作用的重要性的全面了解。人们似乎越来越认识到土壤对可持续未来的作用。鉴于不断增加的人口压力以及土地利用和气候变化的挑战,这是一项重要的发展,有望导致在全世界范围内增加有效的可持续土地管理的应用。 我们期待着计划于2027年举行的下一届瓦赫宁根土壤会议,在那里我们希望同样鼓舞人心的科学演讲和讨论!Loes van Schaik:概念化,写作-原稿,写作-审查和编辑。马蒂尔德·哈根斯:构思,写作-原稿,写作-审查和编辑。Slava Vasenev:构思,写作-原稿,写作-审查和编辑。朱莉亚·邦乔诺:构思,写作-原稿,写作-审查和编辑。作者声明无利益冲突。由于这是一篇社论,我们没有提供或分析任何数据。
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引用次数: 0
Biochar-Driven Soil Restoration: Balancing Carbon Sequestration and Ecosystem Recovery in Degraded Lands 生物炭驱动的土壤恢复:退化土地碳固存与生态系统恢复的平衡
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-11-20 DOI: 10.1111/ejss.70244
Wei Liu, Guoyao Niu, Chiquan He, Yangyang Ma, Yanxiang Tao, Sihan Liu, Guangqiang Xiang

Grassland degradation poses serious threats to global carbon sequestration capacity and the provision of ecosystem services. This study investigates how pristine and iron-modified biochar derived from apple wood (ABC) and rice straw (RBC) influence soil carbon dynamics and ryegrass (Lolium perenne L.) growth in degraded grassland soils. Four biochar treatments (ABC, RBC, Fe-ABC, and Fe-RBC) were tested in a field-scale experiment. Results showed that all biochar amendments increased soil organic carbon (SOC) content, particularly in the Fe-ABC treatment which showed 211% more SOC than the control. Iron-modified biochars (Fe-ABC and Fe-RBC) significantly enhanced plant root length, plant height, and underground dry biomass. However, unmodified ABC achieved the largest carbon pool management index (CPMI = 169.49 ± 16.70), a key indicator that evaluates both the size (storage) and the activity (lability) of the soil carbon pool. This result demonstrates an optimal balance between SOC stabilization and labile carbon maintenance. The Fe-ABC treatment reduced soil inorganic carbon (SIC) content by 23.5%, attributable to carbonate dissolution via acidification (pH decreased from 8.26 to 7.77) and potentially enhanced plant uptake of the dissolved inorganic carbon derivatives. Our findings underscore the importance of application-oriented biochar selection. For degraded grasslands, Fe-ABC was the superior option due to its enhanced capacity for stable SOC formation. Conversely, Fe-RBC demonstrated greater potential for rapid vegetation restoration and productivity enhancement. When a balanced approach to carbon storage and lability is required, ABC emerged as the most suitable amendment, effectively increasing carbon storage without inducing inertness.

草地退化对全球固碳能力和生态系统服务的提供构成严重威胁。本文研究了退化草地土壤中苹果木(ABC)和稻草(RBC)的原始生物炭和铁修饰生物炭对土壤碳动态和黑麦草(Lolium perenne L.)生长的影响。四种生物炭处理(ABC、RBC、Fe - ABC和Fe - RBC)在田间规模试验中进行了测试。结果表明,所有生物炭处理均增加了土壤有机碳(SOC)含量,其中Fe - ABC处理的有机碳含量比对照增加了211%。铁修饰生物炭(Fe‐ABC和Fe‐RBC)显著提高了植物的根长、株高和地下干生物量。而未经改良的ABC获得了最大的碳库管理指数(CPMI = 169.49±16.70),这是评价土壤碳库大小(储量)和活性(不稳定性)的关键指标。这一结果证明了有机碳稳定和不稳定碳维持之间的最佳平衡。Fe - ABC处理使土壤无机碳(SIC)含量降低了23.5%,这是由于酸化过程中碳酸盐的溶解(pH从8.26降至7.77),并可能增强了植物对溶解无机碳衍生物的吸收。我们的研究结果强调了以应用为导向的生物炭选择的重要性。对于退化草地,铁- ABC是更好的选择,因为它增强了稳定有机碳形成的能力。相反,Fe‐RBC显示出更大的快速植被恢复和生产力提高的潜力。当需要平衡碳储量和不稳定性时,ABC成为最合适的修正,有效地增加了碳储量而不引起惰性。
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引用次数: 0
Time to Retire “Pedology”? Reflecting on Disciplinary Terminology in Soil Science 是时候让“教育学”退休了?对土壤学专业术语的思考
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-11-20 DOI: 10.1111/ejss.70240
Gian Franco Capra

The difference between “Pedology” and “Soil Science” is not simply a matter of terminology; it is fundamentally connected to how varied disciplines define their missions, address new emerging challenges, or interact within the scientific, socioeconomic, and cultural landscape at every level (regional, national, and international). This opinion paper aims to initiate a discussion on critically examining whether the continued parallel use of these two terms remains justified in the current scientific context. By considering both the historical context from which we come and future challenges, the article—while acknowledging the undeniable historical and conceptual value of “Pedology”—raises the issue of how its use can become limiting in an era marked by a growing drive toward interdisciplinary collaboration, multidisciplinarity, and ongoing technological innovation. The paper discusses, not claiming to possess the whole truth but simply aiming to open a broader debate, how the univocal adoption of “Soil Science” could serve as a unifying and accessible term, capable of (i) reflecting the current breadth and complexity of the discipline (from biochemical processes to landscape management, food security, and the crucial role of soils in combating climate change) and (ii) ensuring greater inclusiveness and communicative clarity for researchers, professionals, students, policymakers, and society as a whole. The article proposes a shift in language that aligns with current practices in major international journals, scientific societies, international calls, and educational settings at all levels. While honouring the undeniable pedological heritage of the past, such a shift would allow the soil science community to achieve greater recognition on the international stage. In this context, several recommendations are made to foster more balanced and future-oriented terminology for a discipline at the crossroads of tradition and transformation. Without any claim to finality, the paper aims to foster an open and transparent dialogue, encouraging a broad and meaningful cultural debate.

“土壤学”和“土壤学”之间的区别不仅仅是术语的问题;它从根本上与不同的学科如何定义他们的使命,解决新出现的挑战,或在科学、社会经济和文化景观的各个层面(地区、国家和国际)相互作用有关。这篇意见论文的目的是发起一个讨论,批判性地审查是否继续平行使用这两个术语在当前的科学背景下仍然是合理的。考虑到我们所处的历史背景和未来的挑战,这篇文章在承认“土壤学”不可否认的历史和概念价值的同时,提出了一个问题,即在一个以跨学科合作、多学科和持续的技术创新为标志的时代,它的使用如何受到限制。这篇论文并没有声称拥有全部的真相,而只是为了展开一场更广泛的辩论,讨论了“土壤科学”如何作为一个统一的、可理解的术语,能够(i)反映该学科当前的广度和复杂性(从生物化学过程到景观管理、粮食安全和土壤在应对气候变化中的关键作用),(ii)确保研究人员、专业人士更大的包容性和沟通清晰度。学生、政策制定者和整个社会。这篇文章提出了一种语言的转变,使其与主要国际期刊、科学学会、国际电话会议和各级教育机构的当前做法保持一致。在尊重过去不可否认的土壤学遗产的同时,这种转变将使土壤科学界在国际舞台上获得更大的认可。在此背景下,提出了一些建议,以促进在传统和转型的十字路口的学科更平衡和面向未来的术语。本文旨在促进开放和透明的对话,鼓励广泛而有意义的文化辩论,而不主张最终结果。
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引用次数: 0
Linking Phosphate Sorption Kinetics With Hysteresis Ratio in Soils of Varying Weathering Intensity 变风化强度土壤中磷酸盐吸附动力学与滞回比的联系
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-11-20 DOI: 10.1111/ejss.70235
Abhijit Debnath, Anurup Mazumder
<div> <p>Phosphorus (P) sorption, desorption hysteresis and sorption rates have been extensively studied, but often in isolation. The interrelationship amongst these processes, particularly how the rate of phosphate sorption relates to the hysteresis ratio, remains unclear. This study aimed to investigate this relationship and identify which parameter serves as a better indicator for managing P availability in soils. We analysed 30 soil samples from five soil orders in India – Entisol, Inceptisol, Vertisol, Alfisol and Ultisol – spanning a gradient from young to highly weathered soils. Phosphorus hysteresis ratios were calculated using a modified Freundlich equation, and sorption rates were determined in selected soils by reacting them with P solutions over time and fitting data to the equation, <span></span><math> <semantics> <mrow> <mi>S</mi> <mo>=</mo> <mi>a</mi> <msup> <mi>c</mi> <msub> <mi>b</mi> <mn>1</mn> </msub> </msup> <msup> <mi>t</mi> <msub> <mi>b</mi> <mn>2</mn> </msub> </msup> </mrow> <annotation>$$ S=a{c}^{b_1}{t}^{b_2} $$</annotation> </semantics></math>, where <i>S</i> is the amount sorbed, <i>c</i> is the solution concentration, <i>t</i> the time of contact, and <i>a</i>, <i>b</i><sub>1</sub> and <i>b</i><sub>2</sub> are parameters. The P sorption–desorption curves obtained from the isothermal sorption experiment showed substantial variation, leading to a wide range of hysteresis ratios, which remained stable over time. Our results revealed an exponential relationship between hysteresis ratio and the sorption parameter ‘<i>b</i>’, and an inverse relationship with Colwell extractable P. Soils with low native P showed both higher sorption rates (<i>b</i><sub>2</sub>) and hysteresis ratios and their relationships are exponential. The sorption equation parameter ‘<i>a</i>’ was inversely related with the parameter <i>b</i>. We infer that younger, more heterogeneous soils exhibit lower ‘<i>b</i>’ values, whilst highly weathered soils with less site diversity have higher ‘<i>b</i>’ values. Variations in hysteresis ratio emphasized differences in P retention ability and its subsequent diffusion into particles. The study highlights that hysteresis ratio and <i>b</i><sub>2</sub>, both measuring the rate of reaction, are crucial indicators of P behaviour in soils but the hysteresis ratio is a more reliable predictor for guiding fertilizer P management in diverse soil types. The study highlights how soil weathering – and thus soil order – influences sorption characteristics by altering surface heterogeneity.</p>
磷(P)的吸附、解吸滞后和吸附速率已被广泛研究,但往往是孤立的。这些过程之间的相互关系,特别是磷酸吸附速率与迟滞比的关系,仍然不清楚。本研究旨在探讨这种关系,并确定哪个参数可以作为管理土壤磷有效性的更好指标。我们分析了来自印度5个土壤目的30个土壤样本——初生土、初生土、垂直土、Alfisol和最终土——跨越了从年轻土壤到高度风化土壤的梯度。采用修正的Freundlich方程计算磷滞回比,并通过与P溶液随时间的反应来确定所选土壤的吸附速率,并将数据拟合到方程中,其中S为吸附量,c为溶液浓度,t为接触时间,a, b1和b2为参数。等温吸附实验得到的P吸附-解吸曲线变化较大,导致滞回比范围较大,且随时间保持稳定。结果表明,滞回率与吸附参数b呈指数关系,与Colwell可提取磷呈反比关系。土壤中磷含量低,吸附率(b2)和滞回率均较高,且两者呈指数关系。吸附方程参数a与参数b呈负相关。我们推断,较年轻、异质性较强的土壤具有较低的“b”值,而高度风化、场地多样性较少的土壤具有较高的“b”值。迟滞比的变化强调了磷保留能力及其随后向颗粒扩散的差异。研究强调,滞回比和b2都是衡量土壤中磷行为的重要指标,但滞回比是指导不同土壤类型肥料磷管理的更可靠的预测指标。这项研究强调了土壤风化——以及因此而产生的土壤秩序——是如何通过改变表面非均质性来影响吸附特性的。
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引用次数: 0
Conservation Tillage Increases Carbon Storage by Regulating Mineral-Mediated Aggregate Stability and Carbon Chemistry 保护性耕作通过调节矿物介导的团聚体稳定性和碳化学来增加碳储量
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-11-19 DOI: 10.1111/ejss.70233
Zixuan Han, Aurore Degré, Shengping Li, Xiaojun Song, Huizhou Gao, Angyuan Jia, Qiqi Gao, Xueping Wu, Aizhen Liang

Widespread adoption of conservation practices is increasingly encouraged to improve soil organic carbon (SOC) storage and mitigate climate change. However, soil texture and mineralogy cause variable SOC responses under conservation tillage. The role of minerals and organic carbon composition in soil aggregation and SOC stabilization remains insufficiently understood. This study evaluated the long-term effects of conservation tillage (no-tillage with straw return, NTS) versus conventional tillage (plough tillage with straw removal, CT) on carbon storage across Phaeozems, Calcaric Cambisols, and Calcic Luvisols. Compared to CT, NTS increased the annual average C sequestration rate by 15.3%–76.7% and SOC storage by 10.2%–28.4% in different soil types. NTS also increased macroaggregate percentage and mean weight diameter (MWD), resulting in 17.8%–28.3% larger macroaggregate-associated SOC and total nitrogen (TN) contents. Notably, the aromatic-C/aliphatic-C ratio under NTS increased in bulk soil and macroaggregates, which were positively correlated with larger amorphous iron (Feo) content, Ca2+ concentration, and specific surface area in different treatments. Phaeozems exhibit the largest SOC storage, along with larger Feo and Ca2+ contents and aromatic-C/aliphatic-C ratio. However, NTS led to the greatest increases in MWD and SOC storage in Calcaric Cambisols, and the greatest enhancement of microbial biomass carbon in Calcic Luvisols. PLS-PM analysis indicated that although the aromatic-C/aliphatic ratio directly enhances aggregated stability, Feo and Ca2+ promoted MWD indirectly by facilitating greater aromatic-C and polysaccharide-C. Overall, conservation tillage promoted selective binding of Feo and Ca2+ to SOC functional groups, thus enhancing soil aggregation and SOC physico-chemical protection, with calcareous soils showing a stronger response.

越来越多的人鼓励广泛采用保护措施来提高土壤有机碳(SOC)储量和减缓气候变化。然而,土壤质地和矿物学导致保护性耕作下土壤有机碳的变化。矿物和有机碳组成在土壤团聚和有机碳稳定中的作用尚不清楚。本研究评估了保护性耕作(免耕秸秆还田,NTS)与常规耕作(耕耕秸秆还田,CT)对Phaeozems、Calcaric Cambisols和calcalic Luvisols碳储量的长期影响。与CT相比,NTS可使不同土壤类型的年平均碳固存率提高15.3% ~ 76.7%,土壤有机碳储存量提高10.2% ~ 28.4%。NTS还增加了大团聚体百分比和平均重径(MWD),导致大团聚体相关的有机碳(SOC)和总氮(TN)含量增加17.8%-28.3%。值得注意的是,在NTS处理下,土壤和大团聚体中芳香- C/脂肪族- C比值增加,这与不同处理下较大的非晶铁(Feo)含量、ca2 +浓度和比表面积呈正相关。Phaeozems具有最大的SOC储存量,以及较大的Feo和ca2 +含量和芳族- C/脂肪族- C比值。然而,NTS对钙质camvisols的MWD和SOC储量的增加最大,对钙质Luvisols的微生物生物量碳的增加最大。PLS - PM分析表明,虽然芳香族- C/脂肪族比例直接提高了聚集稳定性,但Feo和ca2 +通过促进芳香族- C和多糖- C的增加间接促进了MWD。总体而言,保护性耕作促进了Feo和ca2 +与有机碳官能团的选择性结合,从而增强了土壤团聚和有机碳的物理化学保护作用,其中钙质土壤表现出更强的响应。
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引用次数: 0
Rethinking Soil Phosphate Chemistry: Towards a Shift in Conceptual Framework 重新思考土壤磷酸盐化学:迈向概念框架的转变
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-11-19 DOI: 10.1111/ejss.70239
Abhijit Debnath

Classical soil phosphorus (P) chemistry is based on the belief that fertiliser P precipitates as isolated iron, aluminium and calcium compounds, an opinion encouraged by fractionation schemes and textbook dogma. However, years of evidence indicate the paradigm to be incorrect. Evidence indicates that P rather gets adsorbed onto variable-charge surfaces with subsequent penetration into particles, causing hysteresis in low-P soils and reducing fertiliser effectiveness with time. As P accumulates in soils, hysteresis decreases and fertiliser efficacy stabilises. Likewise, long-held supposition concerning the most favourable soil pH for crop growth and the role of phosphate-solubilising bacteria is found to be misleading when the direct measurement of plant uptake is interrogated. Through the exposure of such misconceptions, we contend that there is a new paradigm of soil P chemistry that more satisfactorily explains experimental observations and informs sustainable fertiliser management.

经典的土壤磷(P)化学是基于这样一种信念,即肥料P沉淀为分离的铁、铝和钙化合物,这种观点受到分选方案和教科书教条的鼓励。然而,多年的证据表明这种范式是不正确的。有证据表明,磷被吸附到可变电荷表面,随后渗透到颗粒中,在低磷土壤中造成滞后,并随着时间的推移降低肥料的有效性。随着磷在土壤中的积累,滞回效应减小,肥效趋于稳定。同样,长期以来关于最有利于作物生长的土壤pH值和溶磷细菌作用的假设,在对植物吸收的直接测量进行质疑时,被发现是误导性的。通过揭露这些误解,我们认为存在一种新的土壤磷化学范式,可以更令人满意地解释实验观察结果,并为可持续肥料管理提供信息。
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引用次数: 0
Mechanisms of Soil Inorganic Carbon Migration and CO2 Exchange in Arid and Semi-Arid Regions 干旱半干旱区土壤无机碳迁移和co2交换机制
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-11-19 DOI: 10.1111/ejss.70241
Peng Shi, Xueyu Guan, Jun Xiao, Zimin Li, José A. Gómez

Soil inorganic carbon (SIC) plays a critical role in the global carbon cycle, particularly in arid and semi-arid regions in which SIC reserves are substantial. However, the mechanisms governing SIC migration and transformation remain poorly understood. This study comprehensively reviews the influence of soil weathering, respiration, depth, precipitation, and acidity on SIC dynamics. We highlight the role of vegetation restoration in enhancing SIC storage and shifting the interactions of soil organic carbon (SOC) with SIC. The solubility changes of CO2 and carbonates, mineral surface adsorption, and soil chemical reactions are regulated by various environmental factors, substantially affecting CO2 flux. Yet the carbonate crystals left behind by evaporation during the downward migration of SIC in the soil solution can lead to soil stratification. Furthermore, vegetation restoration boosts carbon storage by adding organic matter through humus and potentially increasing SIC. Our findings reveal that SIC contributes significantly to carbon sequestration, with implications for mitigating climate change. This review provides a framework for better understanding SIC dynamics and its potential for enhancing soil carbon storage in arid ecosystems.

土壤无机碳(SIC)在全球碳循环中起着至关重要的作用,特别是在SIC储量丰富的干旱和半干旱地区。然而,控制SIC迁移和转化的机制仍然知之甚少。本文综述了土壤风化、呼吸、深度、降水和酸度对碳化硅动态的影响。我们强调了植被恢复在提高碳化硅储量和改变土壤有机碳(SOC)与碳化硅相互作用中的作用。co2与碳酸盐的溶解度变化、矿物表面吸附和土壤化学反应受各种环境因子的调控,对co2通量产生实质性影响。碳化硅在土壤溶液中向下迁移过程中蒸发留下的碳酸盐晶体会导致土壤分层。此外,植被恢复通过腐殖质增加有机质和潜在的SIC增加了碳储量。我们的研究结果表明,SIC对碳固存有显著贡献,对减缓气候变化具有重要意义。这一综述为更好地理解干旱生态系统碳化硅动态及其提高土壤碳储量的潜力提供了框架。
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引用次数: 0
A Novel Shifting Framework to Describe Bimodal Soil Hydraulic Properties 一种描述土壤双峰水力特性的新型移位框架
IF 3.8 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-11-18 DOI: 10.1111/ejss.70243
Yunquan Wang, Rui Ma, Ziyong Sun, Kunpeng Zhou, Gaofeng Zhu

Accurately describing bi- or multi-modal soil hydraulic properties (SHPs) is essential for understanding soil water flow processes. Traditional bimodal models, based on capillary theory, often require numerous empirical parameters and fail to adequately represent macropore flow driven by gravity and film flow held by adsorption forces. In this study, we introduce a novel framework to describe bimodal SHPs by shifting from a reference unimodal model. We propose a new bimodal soil hydraulic model based on the widely used unimodal van Genuchten–Mualem (VGM) model and incorporate the additional effects of adsorption forces. The so-called VGM-Bi model introduces two additional parameters, which can be easily derived or constrained from the measured soil water retention curve (SWRC), enhancing its usability. We further propose a modified version, the VGM-Bi-Macro model, to account for macropore effects by using a hydraulic conductivity value at a slightly negative matric potential as a new matching point. Evaluation with 25 soil samples shows that the VGM-Bi model accurately captures bimodal SWRCs but struggles with bimodal hydraulic conductivity curves (HCCs) for a few samples. In contrast, the VGM-Bi-Macro model effectively captures both. Specifically, the VGM-Bi-Macro model achieves a slightly lower mean root-mean-square error (RMSE) of 0.200 in estimating HCCs and nearly half the RMSE (0.008 cm3 cm−3) in estimating SWRCs compared to the VGM-Bi model (0.229 and 0.014 cm3 cm−3) and an existing bimodal model (0.262 and 0.015 cm3 cm−3), underscoring the importance of gravity-driven macropore flow. These models offer a physically meaningful and efficient tool for simulating water flow in structured soils.

准确描述双模态或多模态土壤水力特性(SHPs)对于理解土壤水流过程至关重要。传统的基于毛细理论的双峰模型往往需要大量的经验参数,不能充分表征重力驱动下的大孔流动和吸附力作用下的膜流。在这项研究中,我们引入了一个新的框架来描述双峰SHPs,从参考单峰模型转移。在广泛使用的单峰van Genuchten-Mualem (VGM)模型的基础上,我们提出了一个新的双峰土壤水力模型,并考虑了吸附力的附加效应。所谓的VGM - Bi模型引入了两个额外的参数,这些参数可以很容易地从测量的土壤保水曲线(SWRC)中导出或约束,从而增强了其可用性。我们进一步提出了一个修改版本,即VGM - Bi - Macro模型,通过使用略负的基质电位的水力电导率值作为新的匹配点来解释大孔效应。对25个土壤样品的评估表明,VGM‐Bi模型准确地捕获了双峰SWRCs,但对少数样品的双峰水力导率曲线(HCCs)存在问题。相比之下,VGM - Bi - Macro模型有效地捕获了两者。具体来说,与VGM - Bi模型(0.229和0.014 cm 3 cm - 3)和现有的双峰模型(0.262和0.015 cm 3 cm - 3)相比,VGM - Bi - Macro模型在估计HCCs方面的平均均方根误差(RMSE)略低,为0.200,在估计SWRCs方面的RMSE (0.008 cm 3 cm - 3)接近一半,强调了重力驱动的大孔隙流动的重要性。这些模型为模拟结构性土壤中的水流提供了物理上有意义和有效的工具。
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引用次数: 0
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