Geoderma最新文献_第2页

Intensive smooth cordgrass removal strengthens tidal and temperature impacts on methane emission 密集的平滑清除网草加强了潮汐和温度对甲烷排放的影响

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-10 DOI: 10.1016/j.geoderma.2026.117719

Yueting Deng , Ruichen Lin , Han Yang , Hui Luo , Lulu Song , Xudong Zhu

The world’s largest ecosystem restoration via intensive removals of invasive smooth cordgrass (Spartina alterniflora) is being implemented in coastal China, potentially exerting a large impact on soil biogeochemical cycles of greenhouse gases including methane (CH₄). However, the degree to which CH₄ emission and its environmental controls change with such anthropogenic disturbances has been rarely assessed with direct empirical evidence. To quantify these disturbance effects, we utilized the eddy covariance (EC) approach to continuously measure net CH₄ exchange from Jul. 2022 to Oct. 2023, covering both pre- and post-removal periods, in a disturbed coastal wetland of Southeast China experiencing an intensive cordgrass removal in late Oct. 2022. Our analyses, based on this unique EC dataset of high-frequency (30-min) time series CH₄ fluxes, revealed that (a) the removal caused a pulse of CH₄ emission peaking one month later up to 0.76 g CH₄ m⁻² d^-1, with the mean post-removal emission over ten times that of the pre-removal level (0.03 g CH₄ m⁻² d^-1); (b) the removal intensified the controls of tidal inundation and pumping on CH₄ fluxes, showing much stronger pumping effects within two months following the disturbances; (c) the removal also enlarged the temperature sensitivity of CH₄ emission, leading to larger daytime emission especially at afternoon hours; (d) the combination of enhanced tidal impacts and temperature dependence thus promoted the diel variability of CH₄ fluxes during the post-removal period. These results suggest that coastal restoration via intensive cordgrass removals boosts both the magnitude and the diel variability of CH₄ emission, highlighting the necessity of better understanding the climate impact of restoration activities. Future longer flux data with extended years are needed to further assess potential regime shift in soil CH₄ biogeochemistry and long-term evolution of such unintended environmental costs of the restoration.

中国沿海地区正在实施世界上最大规模的生态系统修复，通过大量清除入侵的互花米草（Spartina interniflora），可能对包括甲烷（CH4）在内的温室气体的土壤生物地球化学循环产生重大影响。然而，很少有直接的经验证据评估CH4排放及其环境控制随这种人为干扰而变化的程度。为了量化这些干扰效应，我们利用涡动相关（EC）方法连续测量了2022年7月至2023年10月期间中国东南部沿海受干扰湿地的净CH4交换，涵盖了去除前和去除后的时期，该湿地在2022年10月下旬经历了一次密集的网茅去除。基于这一独特的EC高频（30分钟）时间序列CH4通量数据集，我们的分析表明：(a)去除导致CH4排放脉冲在一个月后达到峰值0.76 g CH4 m−2 d-1，去除后的平均排放量是去除前水平（0.03 g CH4 m−2 d-1）的十倍以上；(b)清除加强了潮汐淹没和抽吸对CH4通量的控制，在扰动发生后的两个月内，抽吸效果明显增强；(c) CH4排放的温度敏感性增大，导致白天特别是下午CH4排放增大；(d)增强的潮汐影响和温度依赖性共同促进了CH4通量在去除后时期的日变率。这些结果表明，通过密集清除网茅进行的海岸恢复增加了CH4排放的幅度和日变率，突出了更好地了解恢复活动对气候影响的必要性。未来需要更长时间的通量数据，以进一步评估土壤CH4生物地球化学的潜在状态变化以及恢复过程中这种意外环境成本的长期演变。

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引用次数: 0

Differential responses of prokaryotic and fungal communities in soil microenvironments to drying and wetting as affected by soil aggregate isolation method 土壤团聚体分离方法对土壤微环境中原核生物和真菌群落干湿响应的差异影响

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-10 DOI: 10.1016/j.geoderma.2026.117723

Jonathan Y. Lin , Daoyuan Wang , Cameron K. McMillan , King C. Law , Kate M. Scow , Jorge L. Mazza Rodrigues

Microorganisms live in communities within and on the surface of soil aggregates of varying sizes. A growing body of evidence suggests that different size fractions of aggregates are habitats for distinct microbial communities, but comparisons have been difficult owing to different aggregate separation methods. Two aggregate isolation methods, dry and wet sieving, originating from field moist and dried soils were used to investigate their effects on the prokaryotic and fungal communities in four aggregate size fractions (large macroaggregates (>2000 μm), small macroaggregates (250–2000 μm), microaggregates (53–250 μm), and silt & clay (<53 μm)) using metabarcoding of the 16S rRNA gene and internal transcribed spacer. While prokaryotic community composition among treatments in each of the four size fractions was different, the composition and alpha diversity for fungi were more resistant to change in large and small macroaggregates than in the microaggregate and silt & clay fractions. The average prokaryotic ribosomal RNA copy number and genome size increased in all aggregate size fractions when soils were dried before sieving. Decisions on which aggregate separation method to use depend heavily on the questions one is interested in, but soil storage conditions between sample collection and sieving are highlighted as driving the biggest differences in microbial community composition.

微生物生活在不同大小的土壤团聚体内部和表面的群落中。越来越多的证据表明，不同大小的团聚体部分是不同微生物群落的栖息地，但由于不同的团聚体分离方法，比较一直很困难。利用16S rRNA基因的元编码和内部转录间隔物，研究了干湿两种团聚体分离方法（干湿筛分）对土壤中4个团聚体粒径组分(大团聚体（2000 μm）、小团聚体（250 ~ 2000 μm）、微团聚体（53 ~ 250 μm）和粉土团聚体（53 μm）的影响。虽然4个粒径组分中不同处理的原核生物群落组成不同，但真菌的组成和α多样性在大团聚体和小团聚体中比在微团聚体和粉土组分中更能抵抗变化。土壤在筛前干燥后，原核核糖体RNA拷贝数和基因组大小均增加。使用哪种聚合分离方法的决定在很大程度上取决于一个人感兴趣的问题，但样品收集和筛分之间的土壤储存条件被强调为驱动微生物群落组成的最大差异。

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引用次数: 0

Different mechanisms of phosphorus transformation in calcareous and acid soils affected by ammonium polyphosphate 聚磷酸铵对钙质和酸性土壤磷转化的不同影响机制

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-10 DOI: 10.1016/j.geoderma.2026.117718

Yang Luo, Yaoli Su, Minghui Huang, Yang Li, Dehua Xu, Zhengjuan Yan, Xinlong Wang

The effects of ammonium polyphosphate (APP, (NH₄)_n+2P_nO_3n+1, n < 20) on soil phosphorus (P) availability vary depending on polymerization distributions and the soil type, yet the mechanisms driving these differences remain unclear. This study explored the availability and transformation of P affected by APP1 (P species of P₁-P₂) and APP2 (P species of P₁-P₇) in two different soils, in comparison with conventional ammonium phosphates (APs). APP application increased Olsen-P by 10.7–24.8% in calcareous soil, but decreased it by 2.6–10.8% in acid soil relative to APs. In calcareous soil, APP significantly increased soluble-P, adsorbed-P, and Fe-associated P, as reflected by CaCl₂, NaHCO₃, and NaOH extractable Ps, while decreased more stable Ca-associated P and occluded P indicated by NH₄Ac and Na₃C₆H₅O₇-Na₂S₂O₄-NaOH extractable Ps. The changes in the composition of CaCO₃ and Fe/Al oxides together with/without the reduced organic carbon loss mainly contributed to the decrease in P sorption/precipitation and the increase in P desorption/dissolution. In acid soil, APP significantly increased microbial biomass P, leading to reduced labile inorganic P and elevated labile organic P. Meanwhile, APP increased both oxalate-extractable and complex Fe/Al oxides, which affected P adsorption–desorption to a certain extent. Compared to APP1, APP2 resulted in P existing in a more labile adsorbed state, thereby increasing P availability in both calcareous and acid soils. The main processes affecting P availability in the calcareous soils were abiotic transformations, while biotic transformations played the key role in the acid soils.

聚磷酸铵（APP, (NH4)n+2PnO3n+1, n < 20）对土壤磷有效性的影响因聚合分布和土壤类型而异，但导致这些差异的机制尚不清楚。以常规磷酸铵（APs）为对照，探讨了两种不同土壤中APP1 （P1-P2的P种）和APP2 （P1-P7的P种）对磷的有效性和转化的影响。在钙质土壤中，施用APP使Olsen-P含量增加了10.7% ~ 24.8%，而在酸性土壤中则使Olsen-P含量降低了2.6 ~ 10.8%。在钙质土壤中，APP显著增加了CaCl2、NaHCO3和NaOH可提取磷，显著增加了可溶性磷、吸附磷和铁伴生磷，而NH4Ac和Na3C6H5O7-Na2S2O4-NaOH可提取磷，显著降低了较为稳定的钙伴生磷和闭合磷。CaCO3和Fe/Al氧化物组成的变化，以及有机碳损失的减少和不减少，主要是导致磷的吸附/沉淀减少和磷的解吸/溶解增加。在酸性土壤中，APP显著增加了微生物生物量P，导致活性无机P降低，活性有机P升高。同时，APP增加了草酸-可萃取和复合Fe/Al氧化物，在一定程度上影响了磷的吸附-解吸。与APP1相比，APP2使磷以更不稳定的吸附状态存在，从而提高了钙质和酸性土壤中磷的有效性。影响钙质土壤磷有效性的主要过程是非生物转化，而在酸性土壤中，生物转化起关键作用。

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引用次数: 0

Subsoiling reduces N2O emissions by altering the relative gas diffusivity, O2 status and microbial communities in grazed pasture soil 深埋土壤通过改变放牧草地土壤的相对气体扩散系数、O2状态和微生物群落减少N2O排放

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-07 DOI: 10.1016/j.geoderma.2026.117716

Juan Liu , Timothy Clough , Sam Carrick , Jiafa Luo , Andriy Podolyan , Naomi Wells , Chris Chisholm , Jupei Shen , Peng Li , Lianfeng Du , Hong Pan , Limei Zhang , Hong J. Di

Nitrous oxide (N₂O) is a potent greenhouse gas predominantly emitted from grazed pasture through denitrification, driven by soil oxygen (O₂) availability and urine-derived nitrogen (N). Pasture soils are vulnerable to compaction from animal treading, restricting gas diffusion and enhancing N₂O emissions. Although subsoiling alleviates compaction, its impact on soil O₂ status and N₂O emissions, particularly under high urine N load, remain poorly understood and rarely investigated. This in-situ field study (March-August 2023) evaluated the effect of subsoiling on soil moisture, O₂ content, relative gas diffusivity (D_p/D_o), functional gene abundance, N₂O emissions, and pasture production. Treatments included non-subsoiling or subsoiling, each with or without synthetic ruminant urine (713 kg N ha⁻¹). Subsoiling improved macroporosity, enhanced O₂ availability, increased D_p/D_o at 5, 10 and 20 cm depth (P < 0.001), and reduced moisture at 10 cm depth (P < 0.001). Subsoiling significantly reduced N₂O emissions by 52% and 81% of non-subsoiled plots for non-urine and urine treatments, respectively (P < 0.05). D_p/D_o was strongly correlated with N₂O fluxes during the first 15 days following urine application (R² = 0.59–0.87), suggesting its utility as a predictive indicator under high substrate availability. Molecular analysis showed reduced nirK gene abundance under subsoiling, with limited response for other denitrification genes. Subsoiling had no significant effect on pasture yield or N uptake. Overall, subsoiling mitigates N₂O emissions by improving soil aeration and D_p/D_o while maintaining productivity, offering a promising strategy for sustainable N management in grazed pasture soils.

一氧化二氮（N2O）是一种强效温室气体，主要由放牧牧场通过反硝化作用排放，受土壤氧（O2）有效性和尿源性氮(N)的驱动。牧草土壤容易被动物踩踏压实，限制气体扩散，增加N2O排放。虽然沉土缓解了压实，但其对土壤O2状态和N2O排放的影响，特别是在高尿氮负荷下，仍然知之甚少，很少研究。本研究（2023年3月- 8月）评估了深埋对土壤水分、O2含量、相对气体扩散系数（Dp/Do）、功能基因丰度、N2O排放和牧草产量的影响。处理包括不渗土或渗土，分别添加或不添加合成反刍动物尿液（713 kg N ha−1）。沉土改善了宏观孔隙度，增强了O2有效性，增加了5、10和20 cm深度的Dp/Do (P < 0.001)，降低了10 cm深度的水分（P < 0.001）。在不排尿和排尿处理中，未排尿地块的N2O排放量分别显著减少52%和81% （P < 0.05）。Dp/Do与尿液应用后15天内N2O通量密切相关（R2 = 0.59-0.87），表明其在高底物利用率下可作为预测指标。分子分析表明，土壤深埋降低了nirK基因的丰度，对其他反硝化基因的响应有限。深耕对牧草产量和氮素吸收无显著影响。总体而言，深埋土壤通过改善土壤通气和Dp/Do来减少N2O排放，同时保持生产力，为放牧草地土壤的可持续氮管理提供了一种有希望的策略。

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引用次数: 0

Selecting the right samples rather than more samples: A new spectral–environmental similarity strategy for local soil spectral modeling 选择正确的样本而不是更多的样本：一种新的光谱-环境相似策略用于局部土壤光谱建模

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-07 DOI: 10.1016/j.geoderma.2026.117710

Liangyi Li , Zipeng Zhang , Minglu Sun , Jianli Ding , Jingzhe Wang , Dong Xu , Yuanyuan Huang

Addressing the dual challenges of limited sample size and high environmental heterogeneity in small-scale soil organic carbon (SOC) spectral modeling, this study proposes a fundamental hypothesis: selecting samples that are similar to the target region in both “spectral features and environmental characteristics” is more effective for improving prediction accuracy and stability. Based on this assumption, we developed a synergistic sample transfer strategy that integrates spectral similarity with environmental similarity under the Third Law of Geography, aiming to systematically screen the most comparable samples from the global soil spectral library to enhance the performance and robustness of local SOC modeling. A spectral-environmental similarity framework was established to identify samples that are simultaneously similar to the target region in spectral properties and environmental settings, and instance-based transfer modeling experiments were conducted in five representative small-sample regions (A-E). Results show that the synergistic strategy significantly improved modeling performance in most regions, with maximum increases in predictive power (as indicated by R²) of up to 18% compared with the baseline global transfer model. Remarkably, even when the number of global samples was reduced from 20,961 to around 200, the proposed strategy still outperformed local modeling and conventional global modeling approaches. In relatively stable environments, higher weights on environmental similarity yielded the best models, whereas in highly heterogeneous regions, spectral similarity played a more dominant role. The synergistic strategy also optimized the distribution of important spectral bands, enhanced SOC-responsive features in the visible region (450–750 nm), suppressed redundant information, and improved modeling efficiency. This study demonstrates that the proposed spectral-environmental synergistic sample transfer modeling method not only challenges the conventional assumption that “more samples guarantee better models” but also provides a novel pathway and theoretical support for the efficient use of global soil spectral libraries in regional SOC modeling.

针对小尺度土壤有机碳（SOC）光谱建模中样本量有限和环境异质性高的双重挑战，本研究提出了一个基本假设：选择在“光谱特征和环境特征”上都与目标区域相似的样本，可以更有效地提高预测精度和稳定性。基于这一假设，我们开发了基于地理第三定律的光谱相似度与环境相似度相结合的协同样本转移策略，旨在系统地筛选全球土壤光谱库中最具可比性的样本，以提高局部土壤有机碳模型的性能和鲁棒性。建立光谱-环境相似性框架，识别与目标区域在光谱特性和环境设置上同时相似的样本，并在5个具有代表性的小样本区域（A- e）进行基于实例的转移建模实验。结果表明，在大多数地区，协同策略显著提高了建模性能，与基线全球转移模型相比，预测能力（如R2所示）的最大增幅高达18%。值得注意的是，即使全局样本数量从20,961减少到200左右，所提出的策略仍然优于局部建模和传统的全局建模方法。在相对稳定的环境中，较高的环境相似度权重可以得到最佳模型，而在高度异质的区域，光谱相似度起更大的作用。该协同策略还优化了重要光谱带的分布，增强了可见光区域（450-750 nm）的soc响应特征，抑制了冗余信息，提高了建模效率。研究表明，本文提出的光谱-环境协同样本迁移建模方法不仅挑战了“样本越多，模型越好”的传统假设，而且为有效利用全球土壤光谱库进行区域土壤有机碳建模提供了新的途径和理论支持。

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引用次数: 0

The interplay of aboveground and belowground biodiversity drives the soil multifunctionality of hummock wetlands 地上和地下生物多样性的相互作用推动了丘陵湿地土壤的多功能性

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-01 DOI: 10.1016/j.geoderma.2026.117708

Xiaoai Cao , Huamin Liu , Rui Zhang , Yunhao Wen , Linqian Ma , Zhichao Xu , Lu Wen , Yi Zhuo , Dongwei Liu , Lixin Wang

Hummock wetlands are important ecosystem components for maintaining biogeochemical cycles and biodiversity. Currently, there remains a lack of systematic understanding of how hummock microtopography regulates soil multifunctionality (SMF). This study investigated 11 hummock wetlands in the Inner Mongolia Plateau. By comparing and analyzing the influence of hummocks (vs. hollows) on SMF and its nutrient cycling function, the synergistic regulatory mechanism of aboveground and underground biodiversity was revealed. The results showed that hummock significantly increased key single functional indicators such as SOC, URE, β-GC, aboveground biomass (AB), and underground biomass (UB) (P < 0.05), thereby significantly enhancing SMF. Especially in the functions of the carbon cycling, plant growth, and microbial activity (P < 0.05). Linear fitting analysis indicated that plant species richness was significantly positively correlated with SMF (P = 0.031), while microbial diversity, especially fungal diversity (Sob index, Shannon index, and ACE index), had a higher explanatory power for SMF (P < 0.05). The structural equation model showed that microtopography drives SMF by altering soil water content and, at the same time, by influencing soil pH and thereby affecting plant diversity. Furthermore, given the high explanatory power of fungal diversity for SMF, it was further identified that saprophytic fungi (such as Titaea, Dactylonectria, and Collarina) play key ecological functions in the process of organic matter decomposition and nutrient turnover. This study emphasizes the significance of protecting the heterogeneity of microtopography and the diversity of plants for the maintenance and restoration of wetland functions, providing a theoretical basis for the management of high-latitude wetlands.

丘陵湿地是维持生物地球化学循环和生物多样性的重要生态系统组成部分。目前，对丘陵微地形如何调节土壤多功能性还缺乏系统的认识。本文对内蒙古高原11个丘状湿地进行了调查。通过比较分析丘与洼地对土壤养分循环功能的影响，揭示了地上与地下生物多样性的协同调控机制。结果表明，丘堆显著提高了土壤有机碳（SOC）、URE、β-GC、地上生物量（AB）和地下生物量（UB）等关键单一功能指标（P < 0.05），从而显著提高了土壤土壤生物量（SMF）。特别是在碳循环、植物生长和微生物活动等方面的作用（P < 0.05）。线性拟合分析表明，植物物种丰富度与SMF呈显著正相关（P = 0.031），而微生物多样性，尤其是真菌多样性（Sob指数、Shannon指数和ACE指数）对SMF具有较高的解释力（P < 0.05）。结构方程模型表明，微地形通过改变土壤含水量，同时影响土壤pH值，从而影响植物多样性，从而驱动SMF。此外，鉴于真菌多样性的高解释力，进一步确定腐生真菌（如Titaea、Dactylonectria和Collarina）在有机质分解和养分转化过程中发挥关键的生态功能。本研究强调了保护微地形异质性和植物多样性对维持和恢复湿地功能的重要意义，为高纬度湿地的管理提供了理论依据。

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引用次数: 0

Experimental study of rainfall and inflow characteristics effects on gully head erosion on the Loess Plateau 黄土高原降雨及入流特征对沟头侵蚀影响的试验研究

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-01 DOI: 10.1016/j.geoderma.2026.117682

Chengcheng Jiang , Zhao Jin , Wen Fan , Ningyu Yu , Enlong Liu

Gully head erosion is considered a major form of soil degradation on the Loess Plateau, where distinctive topographic conditions promote runoff convergence during rainfall events and consequently intensify gully head retreat. However, systematic monitoring approaches and mitigation mechanisms under the combined effects of rainfall and inflow remain insufficiently understood. The objectives of this study are to reveal the synergistic mechanisms of rainfall and inflow driving gully head erosion through field experiments, and to establish hydrodynamic critical thresholds governing gully head erosion, thereby providing new insights for predicting erosion at the gully head by integrating topographic and hydraulic conditions. Through systematic field experiments, it was revealed that soil loss increased proportionally with both the rainfall intensity and the inflow rate. Moreover, catchment characteristics are the dominant factors influencing erosion dynamics at gully heads, with inflow playing a more significant role than rainfall in triggering gully wall expansion and collapse. Specifically, stream power is the optimal hydrodynamic parameter for predicting erosion rates, with a critical threshold of 2.33 N m⁻¹ s⁻¹ to distinguish stable and erosive conditions. Based on these findings, a dimensionless model was developed to predict gully head erosion under combined rainfall and inflow conditions, integrating both topographic and hydraulic parameters, and the model achieved high predictive accuracy (

R^{2} = 0.843

,

N_{SE} = 0.788

) for erosion initiation of gully head under complex rainfall-inflow interactions. This study establishes a simple and effective method for predicting erosion initiation and progression. These advances provide not only a mechanistic understanding of erosion drivers but also valuable scientific insights for rational engineering and management of the Loess Plateau.

沟头侵蚀被认为是黄土高原土壤退化的主要形式，其独特的地形条件促进了降雨期间径流的汇聚，从而加剧了沟头退缩。然而，对降雨和流入综合影响下的系统监测方法和缓解机制的了解仍然不够充分。本研究旨在通过野外试验揭示降雨和入流对沟头侵蚀的协同作用机制，建立控制沟头侵蚀的水动力临界阈值，从而为综合地形和水力条件预测沟头侵蚀提供新的见解。通过系统的田间试验，发现土壤流失量随降雨强度和入流速率成比例增加。流域特征是影响沟头侵蚀动力学的主导因素，在引发沟壁扩张和崩塌方面，入流比降雨的作用更为显著。具体来说，水流功率是预测侵蚀速率的最佳水动力参数，其临界阈值为2.33 N m−1 s−1，以区分稳定和侵蚀状态。在此基础上，建立了综合地形和水力参数的降雨-入流复合条件下沟头侵蚀无因次预测模型，该模型对复杂降雨-入流相互作用条件下沟头侵蚀起爆的预测精度较高（R2=0.843， NSE=0.788）。本研究建立了一种简单有效的预测侵蚀发生和发展的方法。这些研究成果不仅为黄土高原侵蚀机理的研究提供了理论依据，也为黄土高原的合理治理提供了科学依据。

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引用次数: 0

Interactions between soil environmental factors and microbial communities consistently predict plant health 土壤环境因子和微生物群落之间的相互作用一致地预测植物健康

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-01 DOI: 10.1016/j.geoderma.2026.117709

Hao Su , Yuanyuan Yan , Qiqi He , Ya Li , Ruimin Li , Yi Ren , Xing Zhou , Liangliang Liu , Zucong Cai , Xinqi Huang

Intensive agricultural practices cause dysbiosis in soil nutrient levels and microbial communities, significantly affecting plant health and productivity. However, the mechanisms underlying the interactions between soil environmental factors and microbial communities, and their role in determining and predicting plant health, remain poorly understood. In this study, we collected soils planted with tomato in different health conditions, including healthy and bacterial wilt, Fusarium wilt, and nematode diseases, to identify key abiotic and biotic factors influencing plant health. Additionally, We fitted machine learning models using multidimensional data to classify plant health status. Our results revealed that diseased soils (bacterial wilt, Fusarium wilt, and nematode disease) exhibited significantly higher AP levels compared to healthy soils. Moreover, increased Amplicon Sequence Variants (ASVs) in diseased soils had lower network connectivity and were positively correlated with soil nutrient contents, pathogen abundance, and pathogen-supportive soil microbial functions, while being negatively correlated with plant defense-associated soil microbial functions. Both soil nutrient levels and the increased ASVs in diseased soil were stronger correlates of disease occurrence than other soil indicators. Optimal classification performance was observed when both soil environmental factors and microbial communities were considered, with AP emerging as the most influential indicator. In conclusion, excessive accumulation of AP was associated with disrupted microbial community structures, destabilized microbial networks, enhanced pathogen abundance, and impaired microbial functions, which collectively correlated with higher disease occurrence. These findings highlight the potential importance of optimizing soil nutrient management for supporting plant health.

集约化农业做法导致土壤养分水平和微生物群落失调，严重影响植物健康和生产力。然而，土壤环境因子与微生物群落之间相互作用的机制及其在确定和预测植物健康方面的作用仍然知之甚少。在本研究中，我们收集了不同健康条件下种植番茄的土壤，包括健康和细菌性枯萎病、枯萎病和线虫病，以确定影响植物健康的关键非生物和生物因素。此外，我们使用多维数据拟合机器学习模型来对植物健康状况进行分类。我们的研究结果显示，与健康土壤相比，患病土壤（细菌性枯萎病、枯萎病和线虫病）表现出显著更高的AP水平。此外，病害土壤中扩增子序列变异（Amplicon Sequence Variants, asv）的增加具有较低的网络连通性，且与土壤养分含量、病原体丰度和病原支持型土壤微生物功能呈正相关，与植物防御相关的土壤微生物功能呈负相关。土壤养分水平和病害土壤中asv的增加与病害发生的相关性强于其他土壤指标。在综合考虑土壤环境因素和微生物群落的情况下，分类效果最佳，其中有机磷是影响最大的指标。综上所述，AP的过度积累与微生物群落结构破坏、微生物网络不稳定、病原体丰度增加和微生物功能受损有关，这些都与较高的疾病发生率相关。这些发现强调了优化土壤养分管理对支持植物健康的潜在重要性。

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引用次数: 0

Climate-dependent variations in plant and nematode functional traits following shrub encroachment 灌木入侵后植物和线虫功能性状的气候依赖性变化

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-01 DOI: 10.1016/j.geoderma.2026.117694

Anning Zhang , Ziyang Liu , Jingwei Chen , Hongxian Song , Jiajia Wang , Hanwen Cui , Zi Yang , Shuyan Chen , Lizhe An , Sa Xiao , Pedro Cardoso

Current climate change and anthropogenic activities are causing shrub encroachment, affecting biodiversity and ecosystem functioning. Shrub and their associated herbaceous plants and soil organisms will asynchronously colonize the new range, shaping different above and belowground relationships along climate gradients. With this work we quantify the functional linkage of plant and nematode communities in functional diversity and traits between shrubs and open spaces at 63 sites spanning broad climatic gradients on the Qinghai-Tibet Plateau. Shrub and climate interaction reshuffles herbaceous plant and nematode diversity and their function. Shrubs increased nematode taxonomic and functional diversity with increasing precipitation and temperature, but such shrub effects on plant diversity were independent of the climatic gradient. Shrub, precipitation, and temperature jointly modulate nematode traits, but have little effects on herbaceous plant traits. Shrubs increased nematodes with longer generation time, larger body mass, and at higher trophic levels, enhancing the metabolic footprint of soil communities; stronger modification on soil food webs and enrichment footprints amplified with increasing precipitation and temperature. Shifts in plant traits were associated with nematode C-P value and trophic structure, while Shrubs reduced the linkage between plants and nematodes in functional traits. Our study demonstrates that climate modulates the facilitative shrub effects on biodiversity and its functions, but points to the functional decoupling of plants and nematodes to environment shifts that may delay nutrient cycle and impact ecosystem functioning.

当前的气候变化和人为活动正在造成灌木侵蚀，影响生物多样性和生态系统功能。灌木及其伴生草本植物和土壤生物将沿着气候梯度形成不同的地上和地下关系，并在新的范围内异步殖民。在青藏高原不同气候梯度的63个地点，我们量化了植物和线虫群落在灌木和开放空间之间的功能多样性和性状的功能联系。灌木与气候的相互作用改变了草本植物和线虫的多样性及其功能。随着降水和温度的增加，灌木增加了线虫的分类和功能多样性，但灌木对植物多样性的影响与气候梯度无关。灌木、降水和温度共同调节线虫性状，但对草本植物性状影响不大。灌丛孳生线虫的时间长、质量大、营养水平高，增加了土壤群落的代谢足迹；随着降水和温度的增加，土壤食物网和富集足迹的改变程度增强。植物性状的变化与线虫的C-P值和营养结构有关，而灌木在功能性状上降低了植物与线虫的联系。我们的研究表明，气候调节了灌木对生物多样性及其功能的促进作用，但指出植物和线虫对环境变化的功能解耦可能会延迟营养循环并影响生态系统功能。

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引用次数: 0

Corrigendum to “Optimization of soil hydraulic parameters within a constrained sampling space” [Geoderma 455 (2025) 117210] “在受限采样空间内优化土壤水力参数”的勘误表[Geoderma 455 (2025) 117210]

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma

Pub Date : 2026-02-01 DOI: 10.1016/j.geoderma.2026.117701

Meijun Li , Wei Shao , Wenjun Yu , Ye Su , Qinghai Song , Yiping Zhang , Hongkai Gao , Yonggen Zhang , Jianzhi Dong

引用次数: 0