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Isotopy, micromorphology and composition of pedogenic gypsum in loess-palaeosol sequences in the Ebro Valley as a combined paleoenvironmental proxy 埃布罗河谷黄土-古土壤层序中成土石膏的同位素、微形态和组成及其复合古环境指标
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-15 DOI: 10.1016/j.geoderma.2025.117667
D. Álvarez , E. Playà , O. Artieda , R. Rodríguez-Ochoa , J.R. Olarieta , R.M. Poch
The loess palaeosol sequences in the Ebro valley are associated with arid and semi-arid climates in the past, where the main pedogenic process is the mobilisation of carbonate and gypsum through the soil, resulting in secondary accumulations. Due to the fact that, in this context, the conservation of palaeoenvironmental indicators is very limited, the objective of this research is to explore the potential of pedogenic gypsum to provide with information about the palaeoenvironmental conditions affecting its development and preservation.
This study has consisted in the sampling and analysis of pedogenic gypsum accumulations from five Loess-Palaeosol Sequences (LPS) applying several approaches and analytical techniques. Traditional methods based on the morphological study of gypsum and supported by micromorphological research have been applied, allowing us the observation of crystalline shapes, pedofeatures and mineral arrangements. We also performed isotopic analyses of pedogenic gypsum, including the isotopic signature of the stable sulphate (δ34S, δ18O) and gypsum hydration water (δ2H, δ18O). Besides, the minor and trace elements composition (Ba, Sr, Na, K, and Mg) was also analysed.
Despite the difficulties when analysing pedogenic gypsum, due in part to its high solubility, our results show that the intensity of the dissolution/reprecipitation processes combined with the loess sedimentation rates determine gypsum characteristics and distribution in the studied loess profiles. Besides helping to determine the gypsum primary source areas, isotopic and micromorphological analyses suggest possible regional and temporal paleoclimatic differences (more/less arid) from the close or more open systems of gypsum in relation to meteoric water.
In addition, the minor and trace elements composition suggests the presence of fluid and solid inclusions in the gypsum crystals of some horizons. This corresponds to gypsum formation in a medium with water rich in sulphates and other salts, and an increased proportion of primary gypsum in the sediment, in contrast to the precipitation of gypsum in unsaturated water.
The combination of different methods has confirmed that pedogenic gypsum is a potential tool for improving palaeoenvironmental knowledge in arid and semi-arid regions. However, due to its limitations, it is recommended to combine additional techniques and indicators to use pedogenic gypsum as an effective palaeoenvironmental proxy.
埃布罗河谷的黄土古土壤序列与过去的干旱和半干旱气候有关,其主要的成土过程是碳酸盐和石膏通过土壤的动员,导致次生堆积。由于在此背景下,古环境指标的保存非常有限,本研究的目的是探索成土石膏的潜力,为影响成土石膏发育和保存的古环境条件提供信息。本研究采用多种方法和分析技术,对5个黄土-古土壤层序(LPS)的成土石膏堆积进行了采样和分析。基于石膏形态学研究和微形态学研究的传统方法已经得到应用,使我们能够观察到晶体形状、土壤特征和矿物排列。对成土石膏进行了同位素分析,包括稳定硫酸盐(δ34S, δ18O)和石膏水化水(δ2H, δ18O)的同位素特征。此外,还分析了微量元素(Ba、Sr、Na、K、Mg)的组成。尽管在分析成土石膏时存在困难,部分原因是其溶解度高,但我们的研究结果表明,溶解/再沉淀过程的强度与黄土沉积速率相结合,决定了所研究的黄土剖面中石膏的特征和分布。同位素和微形态分析除了有助于确定石膏的主要来源地区外,还从石膏的封闭或开放系统与大气水的关系中揭示了可能的区域和时间古气候差异(多或少干旱)。此外,微量元素和微量元素的组成表明,在某些层位的石膏晶体中存在流体和固体包裹体。这与石膏在富含硫酸盐和其他盐的水的介质中形成相对应,并且与石膏在不饱和水中的沉淀相比,沉积物中初级石膏的比例增加。不同方法的结合证实了成土石膏是改善干旱和半干旱地区古环境知识的潜在工具。然而,由于其局限性,建议结合其他技术和指标,将成土石膏作为有效的古环境指标。
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引用次数: 0
Future societal developments provide a challenge for pedology as an integrative activity within soil science 未来的社会发展对土壤学作为土壤科学中的一门综合性活动提出了挑战
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-23 DOI: 10.1016/j.geoderma.2026.117699
Johan Bouma
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引用次数: 0
Linking biological and organic matter indicators of soil health with soil water functions in semi-arid compost-amended and intensified cropping systems 半干旱堆肥改良集约化种植系统中土壤健康的生物和有机质指标与土壤水分功能的关联
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-23 DOI: 10.1016/j.geoderma.2026.117692
Olufemi Adebayo , Tess Noble Strohm , Veronica Acosta-Martinez , Steven J. Fonte , Meagan Schipanski , Maysoon M. Mikha , Prakriti Bista , Sangamesh V. Angadi , Rajan Ghimire
Soil health is crucial for sustaining agriculture in arid and semi-arid environments. However, soil health assessments in these environments often lack indicators that are both sensitive to management and functionally linked to ecosystem services such as water regulation. This study evaluated a range of physical, chemical, and biological indicators of soil health under varying cropping intensities and amendments at two semi-arid locations to evaluate their sensitivity to management and their linkages to key soil water functions. Among various indicators tested, microbial responses were highly sensitive to compost application. Compost-amended cropping systems had significantly greater soil microbial biomass, labile carbon (C) content, and inorganic nitrogen (N), with the long-term compost site showing a 211% greater particulate organic matter-C, a 63% greater mineral-associated organic matter-C, and 63% to 268% greater microbial community sizes than those in no-compost amended systems. Cover cropping, particularly with a diverse mixture, modestly improved microbial activity and arbuscular mycorrhizal fungi abundance, with a stronger effect when combined with compost. While some indicators exhibited site-specific sensitivity, the most consistently responsive across sites were potentially mineralizable C, total fatty acid methyl esters (FAME), total labile N. Multivariate analysis identified total FAME (microbial community size), total labile N, particulate organic C and field saturated hydraulic conductivity (Kfs) as a minimum data set of indicators for soil health assessment based on their sensitivity, robustness in response, and functional relevance to soil water processes. These findings also support that compost application and intensification of cropping systems can optimize soil health and water regulation in water-limited environments.
土壤健康对于在干旱和半干旱环境中维持农业至关重要。然而,这些环境中的土壤健康评估往往缺乏既对管理敏感又在功能上与水调节等生态系统服务相关的指标。本研究评估了两个半干旱地区不同种植强度和改良措施下土壤健康的一系列物理、化学和生物指标,以评估其对管理的敏感性及其与关键土壤水功能的联系。在所测各项指标中,微生物反应对堆肥施用高度敏感。堆肥改良的种植系统显著增加了土壤微生物生物量、活性碳(C)含量和无机氮(N),长期堆肥的土壤颗粒有机质-C比未堆肥的土壤高211%,矿物相关有机质-C高63%,微生物群落规模比未堆肥的土壤高63% ~ 268%。覆盖种植,特别是多样化的混合种植,适度提高了微生物活性和丛枝菌根真菌的丰度,当与堆肥结合使用时效果更强。虽然一些指标表现出特定地点的敏感性,但在不同地点之间响应最一致的是潜在矿化C、总脂肪酸甲酯(FAME)、总稳定氮(total volatile N)。多变量分析发现,总FAME(微生物群落规模)、总稳定氮、颗粒有机C和田间饱和水力传导率(Kfs)作为土壤健康评估的最小数据集,基于它们的敏感性、响应的稳健性。以及与土壤水过程的功能关联。这些发现还表明,在水资源有限的环境中,施用堆肥和强化种植制度可以优化土壤健康和水分调节。
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引用次数: 0
Structural changes in soil microbial and nematode communities enhance soil carbon mineralization following subalpine forest conversion to plantations 亚高山森林向人工林转化后,土壤微生物和线虫群落结构变化促进了土壤碳矿化
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-19 DOI: 10.1016/j.geoderma.2026.117695
Jia Liu , Kai Fang , Dungang Wang , Xiaohu Wang , Yongping Kou , Wenqiang Zhao , Qing Liu , Huajun Yin
The soil micro-food web, a complex biotic network governing belowground ecological processes, plays a pivotal role in maintaining critical ecosystem functions through nutrient cycling and energy flow. Despite increasing recognition of anthropogenic impacts on soil micro-food webs, the structural reorganization of soil micro-food webs and its cascading effects on biogeochemical cycling following the conversion of subalpine natural forests to monoculture plantations remain poorly understood. Here, we investigated how forest plantations affect the soil micro-food web (including soil microbes and nematodes) and soil carbon (C) and nitrogen (N) mineralization in a subalpine region of southwestern China. Our study found that forest plantations substantially altered the soil micro-food web composition and structure, manifesting as reduced microbial biomass (−10 %), nematode abundance (−41 %, P < 0.01) and, more importantly, the deceased stability of the soil micro-food web (−57 %, P < 0.05). Additionally, compared with the natural forest, the soil C mineralization rates had significantly increased (P < 0.05) by approximately 133 % in the spruce plantation, potentially explaining the observed depletion of soil organic carbon stocks. In contrast, N mineralization rates showed no significant differences. The path modelling further demonstrated that the soil micro-food web significantly mediated the effects of forest plantations on the soil C mineralization. Overall, these results emphasized the importance of the soil micro-food web in understanding the ecological consequences of forest plantations and providing insights for the sustainable management of plantations.
土壤微食物网是控制地下生态过程的复杂生物网络,通过养分循环和能量流动在维持关键生态系统功能中起着关键作用。尽管人类活动对土壤微食物网的影响越来越多,但对亚高山天然林向单一种植人工林转化后土壤微食物网的结构重组及其对生物地球化学循环的级联效应仍知之甚少。本文研究了中国西南亚高山地区人工林对土壤微食物网(包括土壤微生物和线虫)以及土壤碳(C)和氮(N)矿化的影响。研究发现,人工林极大地改变了土壤微食物网的组成和结构,表现为微生物生物量减少(- 10%),线虫丰度减少(- 41%,P < 0.01),更重要的是,土壤微食物网的稳定性下降(- 57%,P < 0.05)。此外,与天然林相比,云杉人工林土壤碳矿化率显著提高(P < 0.05)约133%,这可能解释了观察到的土壤有机碳储量枯竭。相反,氮矿化速率无显著差异。路径模型进一步表明,土壤微食物网显著调节了人工林对土壤碳矿化的影响。总的来说,这些结果强调了土壤微食物网在理解人工林生态后果和为人工林可持续管理提供见解方面的重要性。
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引用次数: 0
How deep is your soil? Quantifying and spatially analyzing understudied deep soil in the United States 你的土壤有多深?美国未充分研究的深层土壤的量化和空间分析
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-19 DOI: 10.1016/j.geoderma.2026.117697
Gabrielle J. Feber , Rebecca S. Collins , Natalie Cowan , Rosmery Cruz-O’Byrne , Emmanuel Komolafe , Kristy I. Lam , Susan E. Crow , Noah Fierer , Caley K. Gasch , Michael S. Strickland , Zeli Tan , Rodrigo Vargas , David G. Williams , Zachary E. Kayler
Deep soil is largely understudied despite its importance for understanding terrestrial biogeochemical processes. Here, understudied soil is defined as the difference between soil studied to a reported depth and the estimated depth to bedrock. To assess deep soil across the US, we quantified and spatially analyzed understudied soil using soil survey data and model estimates of bedrock depth. We derived an equation to estimate understudied soil using the dataset parameters “max lower depth studied”, “depth to bedrock”, and “likelihood of bedrock in the top 200 cm”. Survey data and bedrock model outputs revealed that soil has been studied to an average depth of 1.4 m, and the average depth to bedrock is 26 m in the US. The greatest amounts of understudied soil occur in the Midwest and the Southwest. Soil data density was highest in regions with greater population density, specifically, the Pacific region (excluding Alaska), the Midwest, and the Northeast. In contrast, Alaska, the Mountain region and South were underrepresented. To understand soil diversity and any taxonomic bias of the global soil data available, soil orders in the dataset were compared with US-based National Resource Conservation Service areal percentages. Oxisols, Alfisols, Ultisols, Andisols, and Histosols were overrepresented, whereas Gelisols, Aridisols, Vertisols, Entisols, and Spodosols were markedly understudied.
尽管深层土壤对理解陆地生物地球化学过程具有重要意义,但对其的研究在很大程度上还不够充分。这里,未充分研究的土壤被定义为研究土壤到报告深度与基岩估计深度之间的差。为了评估美国的深层土壤,我们使用土壤调查数据和基岩深度模型估算对未充分研究的土壤进行了量化和空间分析。我们利用数据集参数“最大较低研究深度”、“到基岩的深度”和“顶部200 cm基岩的可能性”推导了一个方程来估计未研究的土壤。调查数据和基岩模型结果显示,土壤研究的平均深度为1.4 m,美国的平均基岩深度为26 m。未被充分研究的土壤数量最多的地区是中西部和西南部。土壤数据密度在人口密度较大的地区最高,特别是太平洋地区(不包括阿拉斯加)、中西部和东北部。相比之下,阿拉斯加、山区和南部的代表人数不足。为了了解土壤多样性和现有全球土壤数据的分类偏差,将数据集中的土壤顺序与美国国家资源保护局的面积百分比进行了比较。oxisol、alfisol、Ultisols、andiols和Histosols被过度描述,而gelisol、aridisol、Vertisols、Entisols和Spodosols的研究明显不足。
{"title":"How deep is your soil? Quantifying and spatially analyzing understudied deep soil in the United States","authors":"Gabrielle J. Feber ,&nbsp;Rebecca S. Collins ,&nbsp;Natalie Cowan ,&nbsp;Rosmery Cruz-O’Byrne ,&nbsp;Emmanuel Komolafe ,&nbsp;Kristy I. Lam ,&nbsp;Susan E. Crow ,&nbsp;Noah Fierer ,&nbsp;Caley K. Gasch ,&nbsp;Michael S. Strickland ,&nbsp;Zeli Tan ,&nbsp;Rodrigo Vargas ,&nbsp;David G. Williams ,&nbsp;Zachary E. Kayler","doi":"10.1016/j.geoderma.2026.117697","DOIUrl":"10.1016/j.geoderma.2026.117697","url":null,"abstract":"<div><div>Deep soil is largely understudied despite its importance for understanding terrestrial biogeochemical processes. Here, understudied soil is defined as the difference between soil studied to a reported depth and the estimated depth to bedrock. To assess deep soil across the US, we quantified and spatially analyzed understudied soil using soil survey data and model estimates of bedrock depth. We derived an equation to estimate understudied soil using the dataset parameters “max lower depth studied”, “depth to bedrock”, and “likelihood of bedrock in the top 200 cm”. Survey data and bedrock model outputs revealed that soil has been studied to an average depth of 1.4 m, and the average depth to bedrock is 26 m in the US. The greatest amounts of understudied soil occur in the Midwest and the Southwest. Soil data density was highest in regions with greater population density, specifically, the Pacific region (excluding Alaska), the Midwest, and the Northeast. In contrast, Alaska, the Mountain region and South were underrepresented. To understand soil diversity and any taxonomic bias of the global soil data available, soil orders in the dataset were compared with US-based National Resource Conservation Service areal percentages. Oxisols, Alfisols, Ultisols, Andisols, and Histosols were overrepresented, whereas Gelisols, Aridisols, Vertisols, Entisols, and Spodosols were markedly understudied.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117697"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000553","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
Stoichiometry of peatlands and plants: Mutual interactions in biogeochemical cycles 泥炭地和植物的化学计量学:生物地球化学循环中的相互作用
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-16 DOI: 10.1016/j.geoderma.2026.117687
Wojciech Piaszczyk , Andrzej Szlachta , Stanisław Łyszczarz , Norbert Szymański , Michał Jasik , Mirosław Żelazny , Stanisław Małek , Jarosław Lasota , Ewa Błońska
Although peatlands cover only a small fraction of the Earth’s surface, they store large amounts of carbon and play a key role in global biogeochemical cycles. A joint assessment of the stoichiometry of biogenic elements (C, N and P) and nutrients ratios may improve our understanding of soil–plant interactions across different types of Histosol. The aim of this study was to analyse the stoichiometry of C:N:P and nutrients ratios in peat soils and conifer needles (Picea abies and Pinus sylvestris) across three different histosol types: fibric, hemic and sapric. Particular emphasis was placed on soil–plant relationships and evaluating the potential of stoichiometric indicators to diagnose peatland condition. Samples were collected from 255 sites across Poland. Composite soil samples (0–15 cm depth) and conifer needles were analysed for C and N using an elemental analyser, and for Ca, Mg, K, Al and P using ICP-OES. Ratios (C/N, C/P, N/P, Ca/Mg, Ca/Al and Ca·K·Mg/Al) were then calculated. Statistical procedures included descriptive statistics (median and quartile deviation), a Kruskal–Wallis test (p < 0.05), a principal component analysis (PCA), generalised linear models (GLM), Spearman’s rank correlations and simple linear regressions. Soil carbon content, as well as the C/N, C/P and N/P ratios, decreased systematically from fibric to sapric histosols. Meanwhile, the contents of Ca, Mg, K and Al were significantly higher in sapric soils. In plants, the contents of C, N and P, as well as the C/N, C/P and N/P ratios, did not differ between histosol types. However, the ratios (particularly Ca/Al and Ca·K·Mg/Al) were highest in sapric histosols. Soil–plant correlations were weak for C/N, C/P, and N/P, but slightly stronger for Ca/Al and Ca·K·Mg/Al. PCA (PC1 = 35.52 %; PC2 = 19.41 %) revealed a clear separation, with plants associated with phosphorus and nutrients ratios and soils grouped with C/N and C/P. GLM confirmed the significant effects of both sample and histosol types, with an interaction observed for most indices (except Ca/Mg). Both classical ratios (C/N, C/P and N/P) and ratios (Ca/Al, Ca/Mg and Ca·K·Mg/Al) provide complementary insights into peatland functioning. The decline of C/N and C/P ratios with increasing humification, combined with higher nutrient ratios, indicates their potential for diagnosing peatland degradation and monitoring nutrient cycling dynamics.
尽管泥炭地只覆盖了地球表面的一小部分,但它们储存了大量的碳,在全球生物地球化学循环中发挥着关键作用。对生物源元素(C、N和P)的化学计量学和养分比例的联合评估可能会提高我们对不同类型组织土壤中土壤-植物相互作用的理解。本研究的目的是分析泥炭土和针叶松(Picea abies和Pinus sylvestris)在三种不同组织类型(纤维、化学和辛辣)中的C:N:P和养分比的化学计量学。特别强调土壤-植物关系和评价化学计量指标诊断泥炭地状况的潜力。样本是从波兰255个地点收集的。使用元素分析仪分析复合土壤样品(0-15 cm深度)和针叶针叶的C和N,使用ICP-OES分析Ca、Mg、K、Al和P。计算C/N、C/P、N/P、Ca/Mg、Ca·K·Mg/Al比值。统计程序包括描述性统计(中位数和四分位数偏差)、Kruskal-Wallis检验(p < 0.05)、主成分分析(PCA)、广义线性模型(GLM)、Spearman秩相关和简单线性回归。土壤碳含量、碳氮比、碳磷比和氮磷比从纤维到树胶呈系统下降趋势。同时,含盐土壤中Ca、Mg、K、Al的含量显著高于含盐土壤。在植物中,C、N、P含量以及C/N、C/P和N/P比值在不同类型的组织溶胶中没有差异。其中,以Ca/Al和Ca·K·Mg/Al比值最高。C/N、C/P和N/P的土壤-植物相关性较弱,而Ca/Al和Ca·K·Mg/Al的土壤-植物相关性略强。PCA (PC1 = 35.52%; PC2 = 19.41%)显示出明显的分离,植物与磷和养分比例相关,土壤与C/N和C/P分组。GLM证实了样品和组织溶胶类型的显著影响,在大多数指数中观察到相互作用(Ca/Mg除外)。经典比率(C/N、C/P和N/P)和比率(Ca/Al、Ca/Mg和Ca·K·Mg/Al)都为泥炭地功能提供了补充见解。C/N和C/P比值随腐殖化程度的增加而下降,并结合更高的养分比率,表明它们在诊断泥炭地退化和监测养分循环动态方面具有潜力。
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引用次数: 0
Analysis of soil thermal property measurements in double-layered soils with the heat pulse sensor vertically crossing a soil horizon interface 热脉冲传感器垂直穿越土壤水平界面测量双层土壤热特性分析
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-12 DOI: 10.1016/j.geoderma.2026.117680
Wei Peng , Lin Liu , Meng Tian , Xiaomeng Yao
The growing demand for studying coupled hydrothermal transport processes in layered soils comes with a need for accurate estimations of thermal properties using the heat pulse (HP) sensor. In the case where a HP sensor is installed vertically in a double-layered soil with the sensor crossing a soil horizon interface, its measurements are affected by different upper and lower layered properties. This study combined laboratory and numerical experiments to quantify the effect of the soil horizon interface on HP measurements, and to develop a parameterized cylindrical perfect conductor (PCPC) model that accounts for the interface position and layered properties. Results indicated that the effect of the layered soil properties on HP measurements depended on the soil horizon interface position, specifically when the soil horizon interface was within 15 mm vertically above or below the thermocouples in the HP sensor. A sigmoid function was used to quantify the effects of soil layer properties and soil horizon interface position on HP measurements. The developed PCPC model, based on the sigmoid function, exhibited strong agreement with the numerical simulations, yielding soil thermal property estimates all within a maximum relative error of −3.1%. The PCPC model effectively captured the combined effects of soil horizon interface and thermal properties of soil layers on the HP measurements in a double-layered soil system. This model provides a theoretical basis for the inversion of soil thermal property in such a double-layered soil environments with a HP sensor vertically crossing a soil horizon interface.
研究层状土壤中热液耦合输运过程的需求日益增长,需要使用热脉冲(HP)传感器准确估计热特性。当高压传感器垂直安装在双层土壤中,传感器穿过土壤水平界面时,其测量结果会受到不同的上下层性质的影响。本研究将室内实验与数值实验相结合,量化了土壤水平界面对HP测量的影响,并建立了考虑界面位置和层状特性的参数化圆柱完美导体(PCPC)模型。结果表明,层状土壤性质对HP测量的影响取决于土壤水平界面的位置,特别是当土壤水平界面在HP传感器热电偶上下垂直15 mm以内时。采用s型函数量化土层性质和土层界面位置对HP测量的影响。基于sigmoid函数建立的PCPC模型与数值模拟结果吻合较好,得到的土壤热特性估算值最大相对误差均在−3.1%以内。在双层土壤系统中,PCPC模型有效地捕获了土壤水平界面和土层热性质对HP测量的综合影响。该模型为利用高压传感器垂直穿越土壤水平界面反演这种双层土壤环境下的土壤热性质提供了理论依据。
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引用次数: 0
A bimodal model for thermal conductivity as a function of matric potential incorporating adsorption and capillarity 热导率的双峰模型,作为包含吸附和毛细作用的基质电位的函数
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-19 DOI: 10.1016/j.geoderma.2026.117677
Yongwei Fu , Wenjie Li , Yili Lu , Hu Zhou , Tusheng Ren , Joshua Heitman , Robert Horton
Estimating soil thermal conductivity (λ) in relation to soil water matric potential (h) is important to understand energy transfer, water movement, and ecological processes in soils. However, there is a lack of universally applicable λ(h) relationships that characterize soil thermal behavior across the full h range, particularly for soils with diverse textural classes and varying bulk density. In this study, we present the Boltzman-Tani (BoT) model, a physically based and continuous framework that captures the bimodal pattern of λ (pF, the common logarithm of |h|) relationship over the entire h range by incorporating both adsorption and capillarity. The BoT model parameters pFads and pFcap, which mark the inflection points in the adsorption and capillary domains, respectively, have clear physical meanings and are linked to key soil thermal and hydraulic properties, i.e., critical and hydraulic continuity water contents. We evaluate the BoT model using a λ(pF) dataset comprising 246 observations from 18 soil samples, representing a wide range of texture and bulk density. The BOT model outperforms two existing models: the unified exponential model and the two-segment power model, achieving the least root mean square error (0.043 W m−1 K−1) and mean error (0.033 W m−1 K−1), the lowest Akaike Information Criterion (−82.2), and the highest coefficient of determination (0.983). The changes in λ are driven by variations in the adsorption and capillary components, with adsorptive force dominating at higher pF and capillary force becoming more influential at lower pF, validating the model’s theoretical framework. Furthermore, we develop pedo-transfer functions to estimate the BoT model parameters from soil texture and bulk density, which facilitates its broader and practical application such as soil-climate feedback and optimizing land management. Future work should focus on validating the model with larger, independent datasets and exploring its integration with advanced machine learning techniques to expand its predictive capabilities.
估算土壤热导率(λ)与土壤基质水势(h)的关系对于理解土壤中的能量传递、水分运动和生态过程具有重要意义。然而,缺乏普遍适用的λ(h)关系来表征整个h范围内的土壤热行为,特别是对于具有不同质地类别和不同体积密度的土壤。在这项研究中,我们提出了Boltzman-Tani (BoT)模型,这是一个基于物理的连续框架,通过结合吸附和毛细作用,在整个h范围内捕获λ (pF, |h|的共同对数)关系的双峰模式。BoT模型参数pFads和pFcap分别标记了吸附域和毛细域的拐点,具有明确的物理意义,并与关键的土壤热水力性质(即临界和水力连续含水量)相关联。我们使用λ(pF)数据集来评估BoT模型,该数据集包含来自18个土壤样品的246个观测值,代表了广泛的纹理和体积密度。BOT模型优于现有的两种模型:统一指数模型和两段功率模型,实现了最小的均方根误差(0.043 W m−1 K−1)和平均误差(0.033 W m−1 K−1),最低的赤池信息准则(- 82.2)和最高的决定系数(0.983)。λ的变化是由吸附和毛细组分的变化驱动的,在较高的pF下,吸附力占主导地位,而在较低的pF下,毛细力的影响更大,从而验证了模型的理论框架。此外,我们建立了基于土壤质地和容重的土壤转移函数来估计BoT模型参数,使其在土壤气候反馈和优化土地管理等方面具有更广泛的实际应用。未来的工作应侧重于用更大的独立数据集验证模型,并探索其与先进机器学习技术的集成,以扩展其预测能力。
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引用次数: 0
Number and dissimilarity of soil amendments influence soil properties and plant communities in a greenhouse experiment 在温室试验中,土壤改良剂的数量和差异对土壤性质和植物群落的影响
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-24 DOI: 10.1016/j.geoderma.2026.117703
Huiying Li , Rebecca Rongstock , Anika Lehmann , Inga Simon , Emma Ring , Anja Wulf , Stefanie Maaß , Matthias C. Rillig
Soil health is fundamental in supporting plant diversity and productivity. In turn, a species-rich plant community enhances soil functions and is crucial in sustainable ecosystem management. However, soil degradation increases globally, raising the need for soil restoration. This study aims to test whether improving soil properties through multiple soil amendments promotes a species-rich plant community. We find that the diversity of amendments drives the changes in plant community composition, enhancing species richness, increasing herb and legume biomass, while reducing grass biomass. However, modifications in soil properties, such as water stable aggregates, water holding capacity and soil pH, are influenced by the number of amendments. Aligned with our findings, we observe that greater dissimilarity between restoration amendments results in more synergistic interactions for total above- and below-ground biomass. Our work emphasizes the mechanistic interactions of multiple soil amendments, providing actionable approach to enhance soil multifunctionality and support more targeted restoration strategies.
土壤健康是支持植物多样性和生产力的基础。反过来,物种丰富的植物群落增强了土壤功能,对可持续的生态系统管理至关重要。然而,全球土壤退化加剧,提高了对土壤恢复的需求。本研究旨在测试通过多种土壤改良剂改善土壤性质是否能促进丰富物种的植物群落。研究发现,修正的多样性驱动了植物群落组成的变化,增加了物种丰富度,增加了草本和豆科植物生物量,同时减少了禾本科生物量。然而,土壤性质的变化,如水稳定团聚体、持水量和土壤pH值,受到修正次数的影响。与我们的研究结果一致,我们观察到恢复修正之间的更大差异导致地上和地下总生物量的更多协同相互作用。我们的工作强调多种土壤改良剂的机制相互作用,为增强土壤的多功能性和支持更有针对性的修复策略提供了可行的方法。
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引用次数: 0
Effects of water conservation methods on soil amelioration and crop yield in saline–alkali soil across China: A meta-analysis 中国盐碱地水土保持措施对土壤改良和作物产量的影响:meta分析
IF 6.6 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-02-01 Epub Date: 2026-01-24 DOI: 10.1016/j.geoderma.2026.117705
Weihao Dou , Ran Li , Chen Guo , Yonggan Zhao , Wan Geng , Liebao Han , Wenchao Zhang
Saline‒alkali soil is widespread and pose a major constraint to crop production. Nevertheless, as a substantial reserve of cultivable land, their reclamation plays a pivotal role in mitigating land scarcity, safeguarding food security, and promoting sustainable ecological development. With the development of irrigated agriculture, flood irrigation, drip irrigation and other water conservation methods are often used to ameliorate saline‒alkali soils. Nevertheless, an insufficient understanding of the efficacy, limitations, and contextual applicability of these methods when used indiscriminately, may render these interventions ineffective and trigger secondary soil salinization and alkalization processes. We employed a meta-analysis and linear regression to quantify the effects of typical water conservation methods (included various forms of drip and flood irrigation, with or without salinity or drainage) on soil properties (salinity, alkalinity, nutrient) and crop yield in saline–alkali soils across China, and to clarify the relationships among these effects. The results indicated that water conservation methods significantly reduced the soil electrical conductivity (EC, −10.0%), soil salt content (SSC, −65.0%), pH (−4.2%), and sodium adsorption ratio (SAR, −42.3%) while notably increasing the soil nutrient content (73.1%) and crop yield (13.3%). Among these methods, conventional drip irrigation and film-mulched drip irrigation reduced soil salinity and alkalinity and increased crop yield the most. Notably, saline water irrigation exhibited unstable ameliorative effects with potential secondary salinization risks, accompanied by yield suppression. The impoundment method decreased the SSC (−56.4%), pH (−7.3%), establishing a viable pathway for the amelioration of saline–alkali soil. However, the combination of flood irrigation with drainage method had a more positive effect on saline–alkali soils than the combination of drip irrigation with drainage. The results of regression analysis revealed that the reduction of soil salinity and alkalinity by water conservation methods improved soil fertility, thereby enhancing crop yields. This study provides theoretical support for the formulation of site-specific strategies to develop resource-efficient and eco-friendly agriculture.
盐碱地分布广泛,是制约作物生产的主要因素。然而,作为大量的可耕地储备,它们的开垦对于缓解土地短缺、保障粮食安全、促进生态可持续发展具有举足轻重的作用。随着灌溉农业的发展,漫灌、滴灌等保水方法常被用于盐碱地改良。然而,当不加区分地使用这些方法时,对这些方法的有效性、局限性和上下文适用性的理解不足,可能会使这些干预措施无效,并引发二次土壤盐碱化和碱化过程。本文采用荟萃分析和线性回归的方法,量化了中国盐碱地典型的节水方法(包括各种形式的滴灌和漫灌,有或无盐或排水)对土壤性质(盐度、碱度、养分)和作物产量的影响,并阐明了这些影响之间的关系。结果表明,水土保持措施显著降低了土壤电导率(EC,−10.0%)、土壤盐分含量(SSC,−65.0%)、pH值(−4.2%)和钠吸附比(SAR,−42.3%),显著提高了土壤养分含量(73.1%)和作物产量(13.3%)。其中,常规滴灌和覆膜滴灌降低土壤盐碱度和提高作物产量的效果最大。值得注意的是,盐水灌溉的改善效果不稳定,存在潜在的二次盐碱化风险,并伴有产量抑制。蓄水法降低了土壤SSC(- 56.4%)和pH(- 7.3%),为盐碱地改良开辟了一条可行的途径。但在盐碱地上,漫灌与排水相结合的灌溉效果要优于滴灌与排水相结合的灌溉效果。回归分析结果表明,通过节水措施降低土壤盐分和碱度可以提高土壤肥力,从而提高作物产量。本研究为制定因地制宜的资源节约型和生态友好型农业发展战略提供理论支持。
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