Pub Date : 2026-02-01DOI: 10.1016/j.geoderma.2025.117670
Thanh Thuy Nguyen Tu , Marion Texier , Rania Krimou , Philippe Biron , Sylvie Collin , Emmanuel Aubry , Mercedes Mendez-Millan , Christelle Anquetil , Caroline Kunz , Frédéric Delarue , Marie A. Alexis , Joëlle Dupont
This work aimed at better documenting the effects of fungal activity on dissolved organic matter (OM) in soils. Dynamics of water-extractable OM (as surrogate for dissolved OM) quantity and chemical quality was monitored during a ca. 6 month microcosm incubation of plant residues in the presence of fungi. Differential 13C-labelling of metabolites vs structural compounds of the incubated residues further allowed clarifying the balance between fungal mineralisation and production of soluble compounds (through biosynthesis and/or decomposition). The fungus Trichoderma harzianum was mainly active during the first weeks of incubation, substantially mineralizing WEOM, preferentially consuming carbohydrates. The fungus induced chemical modification of WEOM, notably selective preservation of lipids and oxidation of lignin moieties. While T. harzianum probably degraded some insoluble structural molecules and produced biomass, these contributions to bulk WEOM appeared minor (when compared with leaching and mineralization), either because non-significant or entering non-extractable carbon pool. Additionally, characterization of control fungus-free microcosms, highlighted the potential role of abiotic processes on WEOM production, including leaching and depolymerisation by extracellular enzymes, notably of carbohydrate rich (insoluble) macromolecules.
{"title":"Dissolved organic matter dynamics and chemistry under fungal activity: A microcosm incubation with litter differentially 13C-labelled","authors":"Thanh Thuy Nguyen Tu , Marion Texier , Rania Krimou , Philippe Biron , Sylvie Collin , Emmanuel Aubry , Mercedes Mendez-Millan , Christelle Anquetil , Caroline Kunz , Frédéric Delarue , Marie A. Alexis , Joëlle Dupont","doi":"10.1016/j.geoderma.2025.117670","DOIUrl":"10.1016/j.geoderma.2025.117670","url":null,"abstract":"<div><div>This work aimed at better documenting the effects of fungal activity on dissolved organic matter (OM) in soils. Dynamics of water-extractable OM (as surrogate for dissolved OM) quantity and chemical quality was monitored during a ca. 6 month microcosm incubation of plant residues in the presence of fungi. Differential <sup>13</sup>C-labelling of metabolites vs structural compounds of the incubated residues further allowed clarifying the balance between fungal mineralisation and production of soluble compounds (through biosynthesis and/or decomposition). The fungus <em>Trichoderma harzianum</em> was mainly active during the first weeks of incubation, substantially mineralizing WEOM, preferentially consuming carbohydrates. The fungus induced chemical modification of WEOM, notably selective preservation of lipids and oxidation of lignin moieties. While <em>T. harzianum</em> probably degraded some insoluble structural molecules and produced biomass, these contributions to bulk WEOM appeared minor (when compared with leaching and mineralization), either because non-significant or entering non-extractable carbon pool. Additionally, characterization of control fungus-free microcosms, highlighted the potential role of abiotic processes on WEOM production, including leaching and depolymerisation by extracellular enzymes, notably of carbohydrate rich (insoluble) macromolecules.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117670"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014535","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}
Pub Date : 2026-02-01DOI: 10.1016/j.geoderma.2026.117696
Jia Liu , Dongliang Luo , Shizhen Li , Chenyang Peng , Fangfang Chen , Kefei Du , Qingbai Wu , Huijun Jin , Yajuan Zao , Qi Shen
Ground surface temperature (GST) serves as the upper thermal boundary condition governing the thermal regime of permafrost, yet its fine-scale spatial heterogeneity associated with complex surface characteristics remains a critical uncertainty, largely due to a scarcity of high-density in-situ observations. To bridge this gap, we established a multi-scale systematic monitoring network in June-July 2023 at a representative alpine meadow site in the Headwater Area of the Yellow River, northeastern Qinghai-Xizang Plateau. The network comprises two regular grids with extents of 100 m × 100 m and 1000 m × 1000 m (121 nodes each), capturing hourly GST dynamics. By integrating thermal data with high-resolution (0.1 m) unmanned aerial vehicle (UAV)-derived fractional vegetation cover (FVC), we identified a non-linear vegetation forcing mechanism. A cooling optimum was observed at medium FVC (0.5–0.75), yielding the lowest MAGST (−0.56 ± 0.06 °C and −0.71 ± 0.12 °C for the 100-m and 1000-m grids, respectively) by effectively offsetting summer radiative heating against winter insulation. Conversely, low FVC grid points showed amplified diurnal variability (up to 6.09 °C). Spatial analysis revealed scale-dependent thermal regimes: the fine-scale 100-m grid highlighted localized heat accumulation linked to micro-scale surface heterogeneity, while the 1000-m grid showed seasonal structural instability, where coherent spatial patterns disintegrated during winter. These findings provide critical, scale-dependent constraints for calibrating process-based permafrost models.
{"title":"100-m and 1000-m regular grid observations reveal vegetation-controlled ground surface thermal differentiation in the alpine permafrost of the Headwater Area of the Yellow River","authors":"Jia Liu , Dongliang Luo , Shizhen Li , Chenyang Peng , Fangfang Chen , Kefei Du , Qingbai Wu , Huijun Jin , Yajuan Zao , Qi Shen","doi":"10.1016/j.geoderma.2026.117696","DOIUrl":"10.1016/j.geoderma.2026.117696","url":null,"abstract":"<div><div>Ground surface temperature (GST) serves as the upper thermal boundary condition governing the thermal regime of permafrost, yet its fine-scale spatial heterogeneity associated with complex surface characteristics remains a critical uncertainty, largely due to a scarcity of high-density <em>in-situ</em> observations. To bridge this gap, we established a multi-scale systematic monitoring network in June-July 2023 at a representative alpine meadow site in the Headwater Area of the Yellow River, northeastern Qinghai-Xizang Plateau. The network comprises two regular grids with extents of 100 m × 100 m and 1000 m × 1000 m (121 nodes each), capturing hourly GST dynamics. By integrating thermal data with high-resolution (0.1 m) unmanned aerial vehicle (UAV)-derived fractional vegetation cover (FVC), we identified a non-linear vegetation forcing mechanism. A cooling optimum was observed at medium FVC (0.5–0.75), yielding the lowest MAGST (−0.56 ± 0.06 °C and −0.71 ± 0.12 °C for the 100-m and 1000-m grids, respectively) by effectively offsetting summer radiative heating against winter insulation. Conversely, low FVC grid points showed amplified diurnal variability (up to 6.09 °C). Spatial analysis revealed scale-dependent thermal regimes: the fine-scale 100-m grid highlighted localized heat accumulation linked to micro-scale<!--> <!-->surface heterogeneity, while the 1000-m grid showed seasonal structural instability, where coherent spatial patterns disintegrated during winter. These findings provide critical, scale-dependent constraints for calibrating process-based permafrost models.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117696"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071602","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}
Pub Date : 2026-02-01DOI: 10.1016/j.geoderma.2026.117684
Vipin Singh , Teodor Chiaburu , Einar Eberhardt , Stefan Broda , Joey Prüssing , Frank Haußer , Felix Bießmann
Recent advances in artificial intelligence (AI), in particular foundation models, have improved the state of the art in many application domains including geosciences. Some specific problems, however, could not benefit from this progress yet. Soil horizon classification, for instance, remains challenging because of its multimodal and multitask characteristics and a complex hierarchically structured label taxonomy. Accurate classification of soil horizons is crucial for monitoring soil condition, which directly impacts agricultural productivity, food security, ecosystem stability and climate resilience. In this work, we propose SoilNet - a multimodal multitask model to tackle this problem through a structured modularized pipeline. In contrast to omnipurpose AI foundation models, our approach is designed to be inherently transparent by following the task structure human experts developed for solving this challenging annotation task. The proposed approach integrates image data and geotemporal metadata to first predict depth markers, segmenting the soil profile into horizon candidates. Each segment is characterized by a set of horizon-specific morphological features. Finally, horizon labels are predicted based on the multimodal concatenated feature vector, leveraging a graph-based label representation to account for the complex hierarchical relationships among soil horizons. Our method is designed to address complex hierarchical classification, where the number of possible labels is very large, imbalanced and non-trivially structured. We demonstrate the effectiveness of our approach on a real-world soil profile dataset and a comprehensive user study with domain experts. Our empirical evaluations demonstrate that SoilNet reliably predicts soil horizons that are plausible and accurate. User study results indicate that SoilNet achieves predictive performance on par with or better than that of human experts in soil horizon classification. All code and experiments can be found in our repository: https://github.com/calgo-lab/BGR/.
{"title":"SoilNet: A multimodal multitask model for hierarchical classification of soil horizons","authors":"Vipin Singh , Teodor Chiaburu , Einar Eberhardt , Stefan Broda , Joey Prüssing , Frank Haußer , Felix Bießmann","doi":"10.1016/j.geoderma.2026.117684","DOIUrl":"10.1016/j.geoderma.2026.117684","url":null,"abstract":"<div><div>Recent advances in artificial intelligence (AI), in particular foundation models, have improved the state of the art in many application domains including geosciences. Some specific problems, however, could not benefit from this progress yet. Soil horizon classification, for instance, remains challenging because of its multimodal and multitask characteristics and a complex hierarchically structured label taxonomy. Accurate classification of soil horizons is crucial for monitoring soil condition, which directly impacts agricultural productivity, food security, ecosystem stability and climate resilience. In this work, we propose <em>SoilNet</em> - a multimodal multitask model to tackle this problem through a structured modularized pipeline. In contrast to omnipurpose AI foundation models, our approach is designed to be inherently transparent by following the task structure human experts developed for solving this challenging annotation task. The proposed approach integrates image data and geotemporal metadata to first predict depth markers, segmenting the soil profile into horizon candidates. Each segment is characterized by a set of horizon-specific morphological features. Finally, horizon labels are predicted based on the multimodal concatenated feature vector, leveraging a graph-based label representation to account for the complex hierarchical relationships among soil horizons. Our method is designed to address complex hierarchical classification, where the number of possible labels is very large, imbalanced and non-trivially structured. We demonstrate the effectiveness of our approach on a real-world soil profile dataset and a comprehensive user study with domain experts. Our empirical evaluations demonstrate that SoilNet reliably predicts soil horizons that are plausible and accurate. User study results indicate that SoilNet achieves predictive performance on par with or better than that of human experts in soil horizon classification. All code and experiments can be found in our repository: <span><span>https://github.com/calgo-lab/BGR/</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117684"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014526","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}
Pub Date : 2026-02-01DOI: 10.1016/j.geoderma.2026.117690
Hongliang Li, Charles R. Warren, Andrew J. Holmes, Claudia Keitel, Feike A. Dijkstra
Earthworms affect soil organic carbon (SOC) decomposition and C stabilization into mineral associated organic matter (MAOM) following fresh organic matter input. However, it remains untested how these earthworm-induced C dynamics vary with the rate of fresh organic matter input and soil texture and how they are associated with soil microbial C use efficiency (CUE). Herein, we conducted a 48-day incubation to investigate the impact of earthworms on soil C dynamics following litter input, as well as the relationships of C dynamics with microbial CUE. The experimental set-up consisted of three factors including earthworms (with and without), 13C-labeled grass litter input rate (0, 1 and 6 g C kg−1 soil) and soil texture (grassland soils with either clay or sand addition). Earthworms increased SOC decomposition without litter input by 9 % − 13 %, while amplifying the priming effect (PE) in soil with clay and sand addition at the highest litter addition by 24 % − 139 %, but decreasing the PE in soil with sand and low litter addition by 32 %. In soil with sand addition, earthworms increased MAOM formation efficiency from litter (fraction of added litter C stabilized in MAOM) by 17 % − 23 %, and the litter C sequestration quotient (litter-derived C in MAOM divided by the sum of litter derived C in MAOM and respiration) by 10 % − 27 %. However, earthworm-induced changes in SOC decomposition, PE and MAOM formation were not associated with earthworm-induced changes in microbial CUE. In conclusion, earthworms can facilitate SOC accrual more in soils with sand addition through disproportional amplification of SOC stabilization compared with SOC loss through decomposition. The influence of earthworms on SOC accrual is more likely driven by physicochemical protection of SOC rather than by changes in microbial metabolism.
蚯蚓影响新鲜有机质输入后土壤有机碳(SOC)分解和碳稳定为矿物伴生有机质(MAOM)。然而,这些蚯蚓诱导的碳动态如何随新鲜有机质输入速率和土壤质地而变化,以及它们如何与土壤微生物碳利用效率(CUE)相关,仍未得到验证。本研究通过48天的培养,研究了蚯蚓对凋落物输入后土壤C动态的影响,以及C动态与微生物CUE的关系。实验设置包括三个因素,包括蚯蚓(有和没有),13c标记的草凋落物输入率(0,1和6 g C kg - 1土壤)和土壤质地(添加粘土或沙子的草地土壤)。蚯蚓使无凋落物输入的土壤有机碳分解提高了9% ~ 13%,而在凋落物添加量最大的土壤中,添加粘土和沙子的土壤的启动效应(PE)提高了24% ~ 139%,而在添加沙子和低凋落物的土壤中,PE降低了32%。在添加沙子的土壤中,蚯蚓使凋落物中MAOM的形成效率(添加的凋落物C稳定在MAOM中的比例)提高了17% ~ 23%,凋落物C的固存商(MAOM中凋落物衍生的C除以MAOM中凋落物衍生的C和呼吸的总和)提高了10% ~ 27%。然而,蚯蚓诱导的SOC分解、PE和MAOM形成的变化与蚯蚓诱导的微生物CUE变化无关。综上所述,蚯蚓通过对土壤有机碳稳定化的不成比例放大,促进了土壤有机碳的积累,而不是通过分解导致的有机碳损失。蚯蚓对有机碳积累的影响更可能是由有机碳的物理化学保护驱动的,而不是由微生物代谢的变化驱动的。
{"title":"Earthworms facilitate soil mineral associated organic matter formation but increase priming effect depending on litter addition and soil texture","authors":"Hongliang Li, Charles R. Warren, Andrew J. Holmes, Claudia Keitel, Feike A. Dijkstra","doi":"10.1016/j.geoderma.2026.117690","DOIUrl":"10.1016/j.geoderma.2026.117690","url":null,"abstract":"<div><div>Earthworms affect soil organic carbon (SOC) decomposition and C stabilization into mineral associated organic matter (MAOM) following fresh organic matter input. However, it remains untested how these earthworm-induced C dynamics vary with the rate of fresh organic matter input and soil texture and how they are associated with soil microbial C use efficiency (CUE). Herein, we conducted a 48-day incubation to investigate the impact of earthworms on soil C dynamics following litter input, as well as the relationships of C dynamics with microbial CUE. The experimental set-up consisted of three factors including earthworms (with and without), <sup>13</sup>C-labeled grass litter input rate (0, 1 and 6 g C kg<sup>−1</sup> soil) and soil texture (grassland soils with either clay or sand addition). Earthworms increased SOC decomposition without litter input by 9 % − 13 %, while amplifying the priming effect (PE) in soil with clay and sand addition at the highest litter addition by 24 % − 139 %, but decreasing the PE in soil with sand and low litter addition by 32 %. In soil with sand addition, earthworms increased MAOM formation efficiency from litter (fraction of added litter C stabilized in MAOM) by 17 % − 23 %, and the litter C sequestration quotient (litter-derived C in MAOM divided by the sum of litter derived C in MAOM and respiration) by 10 % − 27 %. However, earthworm-induced changes in SOC decomposition, PE and MAOM formation were not associated with earthworm-induced changes in microbial CUE. In conclusion, earthworms can facilitate SOC accrual more in soils with sand addition through disproportional amplification of SOC stabilization compared with SOC loss through decomposition. The influence of earthworms on SOC accrual is more likely driven by physicochemical protection of SOC rather than by changes in microbial metabolism.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117690"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033236","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}
Pub Date : 2026-02-01DOI: 10.1016/j.geoderma.2026.117713
Yanna Luo , Yunbo Niu , Wentao Pan , Lei Shi , Yingqiang Zhang , Xinxin Ye , Qizhong Xiong , Bingqiang Zhao , Jianyuan Jing
It is widely accepted that humic acid-enhanced phosphate fertilizers (HAEP) improve crop yield and phosphorus (P) use efficiency, largely because the carboxyl-rich structure of humic acid (HA) reduces P fixation and enhances soil P availability. However, this prevailing view overlooks the potential structural transformations of HA in soil and its localized regulation of P availability—restricted to the phosphate fertilizer fertosphere (PFF) rather than the bulk soil. In this study, we simulated the PFF to examine how HA influences the migration, transformation, and availability of P within the PFF. Using multispectral analysis, we characterized structural changes of HA and its corresponding ability to inhibit P immobilization within the PFF. We also identified the key microbial drivers, thereby clarifying the mechanisms through which HA regulates P availability in this microzone. Compared with that of the control, HA amendment resulted in greater migration of PFF-derived P over 90 days: cumulative migration increased by 10.7%, the migration distance extended by 0.40 mm, and the effective radius of the available P-enriched zones around the fertosphere expanded by 0.84 mm. The increased P availability might be attributed to two main mechanisms. First, the increase in HA-specific surface area and the accumulation of fungal necromass provided additional sites for ion adsorption, thereby inhibiting the transformation of P into insoluble forms. Second, HA slowed the luxury uptake of P by microorganisms, effectively reducing its biological fixation. Notably, the carboxyl functional groups of HA contributed minimally to this improvement. Instead, HA within the PFF underwent progressive depletion of carboxyl groups, mediated jointly by soil bacteria and fungi. HA enhances both the P supply area and the intensity of PFF primarily through microbial-driven structural modifications that maintain its ion-adsorption capacity. These findings offer new perspectives for re-evaluating the efficiency-enhancing mechanisms of HAEP.
{"title":"Microbial-mediated structural changes in humic acid increase phosphorus availability in the fertosphere","authors":"Yanna Luo , Yunbo Niu , Wentao Pan , Lei Shi , Yingqiang Zhang , Xinxin Ye , Qizhong Xiong , Bingqiang Zhao , Jianyuan Jing","doi":"10.1016/j.geoderma.2026.117713","DOIUrl":"10.1016/j.geoderma.2026.117713","url":null,"abstract":"<div><div>It is widely accepted that humic acid-enhanced phosphate fertilizers (HAEP) improve crop yield and phosphorus (P) use efficiency, largely because the carboxyl-rich structure of humic acid (HA) reduces P fixation and enhances soil P availability. However, this prevailing view overlooks the potential structural transformations of HA in soil and its localized regulation of P availability—restricted to the phosphate fertilizer fertosphere (PFF) rather than the bulk soil. In this study, we simulated the PFF to examine how HA influences the migration, transformation, and availability of P within the PFF. Using multispectral analysis, we characterized structural changes of HA and its corresponding ability to inhibit P immobilization within the PFF. We also identified the key microbial drivers, thereby clarifying the mechanisms through which HA regulates P availability in this microzone. Compared with that of the control, HA amendment resulted in greater migration of PFF-derived P over 90 days: cumulative migration increased by 10.7%, the migration distance extended by 0.40 mm, and the effective radius of the available P-enriched zones around the fertosphere expanded by 0.84 mm. The increased P availability might be attributed to two main mechanisms. First, the increase in HA-specific surface area and the accumulation of fungal necromass provided additional sites for ion adsorption, thereby inhibiting the transformation of P into insoluble forms. Second, HA slowed the luxury uptake of P by microorganisms, effectively reducing its biological fixation. Notably, the carboxyl functional groups of HA contributed minimally to this improvement. Instead, HA within the PFF underwent progressive depletion of carboxyl groups, mediated jointly by soil bacteria and fungi. HA enhances both the P supply area and the intensity of PFF primarily through microbial-driven structural modifications that maintain its ion-adsorption capacity. These findings offer new perspectives for re-evaluating the efficiency-enhancing mechanisms of HAEP.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117713"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134161","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}
Pub Date : 2026-02-01DOI: 10.1016/j.geoderma.2025.117668
Emily E.E.M. te Pas, Rob N.J. Comans, Sarai Bisseling, Mathilde Hagens
Enhanced rock weathering (ERW) and biochar are potentially effective and scalable options for large-scale carbon dioxide removal (CDR), required to limit global temperature rise to 1.5 °C. Here we present experimental data on their co-deployment, an urgent and novel research direction that may render even larger CDR on multiple timescales. Two greenhouse pot experiments were conducted growing maize (Zea mays L) on sandy and clayey soils mixed with various doses of crushed dunite rocks (20–220 t ha−1) and a fixed dose of biochar (20 t ha−1) for two months. Furthermore, through a comparison of multiple soil extraction procedures for mass balance construction, our work supports the development of a standardized quantification method for CDR associated with ERW. Based on these elemental mass balances, dunite weathering was found to sequester between 1.06 ± 0.025 and 3.48 ± 0.084 t CO2 ha−1 in sandy soils and between 0.28 ± 0.015 and 1.60 ± 0.051 t CO2 ha−1 in clayey soils, while biochar co-deployment only slightly enhanced dunite weathering in the latter. Soil respiration also significantly increased on both soils, exceeding the achieved inorganic CO2 sequestration in our short-term experiments. However, we observed significant increases in soil pH and amorphous iron (hydr)oxide minerals, the latter known to be important for long-term organic carbon stabilization. We argue that the reduction in soil carbon due to enhanced soil respiration is only short term and is likely compensated for by the promising potential of ERW and biochar combinations for long-term inorganic carbon sequestration and organic carbon stabilization. The observed effects of ERW and biochar co-deployment on soil chemical properties, most notably increases in reactive (hydr)oxide minerals and soil pH, provide a great opportunity to boost CDR, with important differences between soil types.
增强岩石风化(ERW)和生物炭是大规模二氧化碳去除(CDR)的潜在有效和可扩展的选择,需要将全球气温上升限制在1.5°C。在这里,我们提出了它们共同部署的实验数据,这是一个紧迫而新颖的研究方向,可能在多个时间尺度上呈现更大的CDR。在两个温室盆栽试验中,玉米(Zea mays L)在砂质和粘土土壤上生长,混合不同剂量的碎质岩石(20 - 220 t ha - 1)和固定剂量的生物炭(20 t ha - 1),为期两个月。此外,通过对质量平衡构建的多种土壤提取方法的比较,我们的工作支持了与ERW相关的CDR标准化量化方法的发展。基于这些元素质量平衡,发现沙质土壤对沙丘风化作用的吸收在1.06±0.025 ~ 3.48±0.084 t CO2 ha - 1之间,粘质土壤对沙丘风化作用的吸收在0.28±0.015 ~ 1.60±0.051 t CO2 ha - 1之间,而黏性土壤对沙丘风化作用的吸收仅轻微增强。两种土壤的土壤呼吸也显著增加,超过了我们短期实验中实现的无机CO2固存。然而,我们观察到土壤pH值和无定形铁(水)氧化物矿物显著增加,后者已知对长期有机碳稳定很重要。我们认为,由于土壤呼吸增强而导致的土壤碳的减少只是短期的,并且可能被ERW和生物炭组合在长期无机碳固存和有机碳稳定方面的潜力所补偿。已观察到的ERW和生物炭共同部署对土壤化学性质的影响,最显著的是活性(水合)氧化物矿物质和土壤pH的增加,为提高CDR提供了很好的机会,土壤类型之间存在重要差异。
{"title":"Enhanced weathering and biochar co-deployment boosts CO2 sequestration through changing soil properties","authors":"Emily E.E.M. te Pas, Rob N.J. Comans, Sarai Bisseling, Mathilde Hagens","doi":"10.1016/j.geoderma.2025.117668","DOIUrl":"10.1016/j.geoderma.2025.117668","url":null,"abstract":"<div><div>Enhanced rock weathering (ERW) and biochar are potentially effective and scalable options for large-scale carbon dioxide removal (CDR), required to limit global temperature rise to 1.5 °C. Here we present experimental data on their co-deployment, an urgent and novel research direction that may render even larger CDR on multiple timescales. Two greenhouse pot experiments were conducted growing maize (<em>Zea mays</em> L) on sandy and clayey soils mixed with various doses of crushed dunite rocks (20–220 t ha<sup>−1</sup>) and a fixed dose of biochar (20 t ha<sup>−1</sup>) for two months. Furthermore, through a comparison of multiple soil extraction procedures for mass balance construction, our work supports the development of a standardized quantification method for CDR associated with ERW. Based on these elemental mass balances, dunite weathering was found to sequester between 1.06 ± 0.025 and 3.48 ± 0.084 t CO<sub>2</sub> ha<sup>−1</sup> in sandy soils and between 0.28 ± 0.015 and 1.60 ± 0.051 t CO<sub>2</sub> ha<sup>−1</sup> in clayey soils, while biochar co-deployment only slightly enhanced dunite weathering in the latter. Soil respiration also significantly increased on both soils, exceeding the achieved inorganic CO<sub>2</sub> sequestration in our short-term experiments. However, we observed significant increases in soil pH and amorphous iron (hydr)oxide minerals, the latter known to be important for long-term organic carbon stabilization. We argue that the reduction in soil carbon due to enhanced soil respiration is only short term and is likely compensated for by the promising potential of ERW and biochar combinations for long-term inorganic carbon sequestration and organic carbon stabilization. The observed effects of ERW and biochar co-deployment on soil chemical properties, most notably increases in reactive (hydr)oxide minerals and soil pH, provide a great opportunity to boost CDR, with important differences between soil types.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117668"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074610","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}
Pub Date : 2026-02-01DOI: 10.1016/j.geoderma.2026.117699
Johan Bouma
{"title":"Future societal developments provide a challenge for pedology as an integrative activity within soil science","authors":"Johan Bouma","doi":"10.1016/j.geoderma.2026.117699","DOIUrl":"10.1016/j.geoderma.2026.117699","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117699"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033230","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}
Pub Date : 2026-02-01DOI: 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.
{"title":"Structural changes in soil microbial and nematode communities enhance soil carbon mineralization following subalpine forest conversion to plantations","authors":"Jia Liu , Kai Fang , Dungang Wang , Xiaohu Wang , Yongping Kou , Wenqiang Zhao , Qing Liu , Huajun Yin","doi":"10.1016/j.geoderma.2026.117695","DOIUrl":"10.1016/j.geoderma.2026.117695","url":null,"abstract":"<div><div>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 %, <em>P</em> < 0.01) and, more importantly, the deceased stability of the soil micro-food web (−57 %, <em>P</em> < 0.05). Additionally, compared with the natural forest, the soil C mineralization rates had significantly increased (<em>P</em> < 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.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117695"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000551","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}
Pub Date : 2026-02-01DOI: 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.
{"title":"How deep is your soil? Quantifying and spatially analyzing understudied deep soil in the United States","authors":"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","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}
Pub Date : 2026-02-01DOI: 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.
{"title":"Linking biological and organic matter indicators of soil health with soil water functions in semi-arid compost-amended and intensified cropping systems","authors":"Olufemi Adebayo , Tess Noble Strohm , Veronica Acosta-Martinez , Steven J. Fonte , Meagan Schipanski , Maysoon M. Mikha , Prakriti Bista , Sangamesh V. Angadi , Rajan Ghimire","doi":"10.1016/j.geoderma.2026.117692","DOIUrl":"10.1016/j.geoderma.2026.117692","url":null,"abstract":"<div><div>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 (<em>Kfs</em>) 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.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"466 ","pages":"Article 117692"},"PeriodicalIF":6.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033231","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}