Pub Date : 2025-11-05DOI: 10.1016/j.soilbio.2025.110036
Alexine Ehlinger , Sara Martinengo , Maria Sofia Lasagna , Fulvia Tambone , Maria Martin , Luisella Celi , Daniel Said-Pullicino
Rice roots represent an important contributor to belowground organic carbon (C) inputs in paddy soils. They have characteristic traits specifically linked to their growth in predominantly anoxic soils, such as the presence of iron plaque (IP) on the roots surfaces and the development of apoplastic barriers through the lignification/suberization of cell wall exteriors. Nevertheless, evidence on how these traits influence microbial decomposition and root C turnover in the detritusphere is still lacking. In this work we evaluated how water management practices, involving rice cropping under continuous flooding (CF) and alternate wetting and drying (AWD), affect coarse and fine root C inputs, their biochemical quality and IP contents. Moreover, by harnessing the difference in natural abundance 13C between C3 rice plant residues added to a C4 maize-cropped soil, we elucidated how these traits affect microbial decomposition, soil organic C (SOC) priming and the contribution of root C to different functional SOC pools over a 90-d microcosm incubation under aerobic conditions. The main findings suggest that growing rice under CF resulted in a lower abundance of fine roots and favoured the accumulation of root-associated IP compared to AWD. This, together with their greater content of aromatic and alkyl C moieties, was mainly responsible for the slower turnover of fine compared to coarse roots, and their slightly greater contribution to mineral-associated OC pools, without considerably affecting native SOC priming. We conclude that evaluating the effects of water management practices, among other parameters, on belowground C inputs and rice root traits may help decipher the root C turnover and contribution to stable SOC in rice paddies.
{"title":"The influence of iron plaque and root traits on organic carbon turnover in the rice root detritusphere","authors":"Alexine Ehlinger , Sara Martinengo , Maria Sofia Lasagna , Fulvia Tambone , Maria Martin , Luisella Celi , Daniel Said-Pullicino","doi":"10.1016/j.soilbio.2025.110036","DOIUrl":"10.1016/j.soilbio.2025.110036","url":null,"abstract":"<div><div>Rice roots represent an important contributor to belowground organic carbon (C) inputs in paddy soils. They have characteristic traits specifically linked to their growth in predominantly anoxic soils, such as the presence of iron plaque (IP) on the roots surfaces and the development of apoplastic barriers through the lignification/suberization of cell wall exteriors. Nevertheless, evidence on how these traits influence microbial decomposition and root C turnover in the detritusphere is still lacking. In this work we evaluated how water management practices, involving rice cropping under continuous flooding (CF) and alternate wetting and drying (AWD), affect coarse and fine root C inputs, their biochemical quality and IP contents. Moreover, by harnessing the difference in natural abundance <sup>13</sup>C between C3 rice plant residues added to a C4 maize-cropped soil, we elucidated how these traits affect microbial decomposition, soil organic C (SOC) priming and the contribution of root C to different functional SOC pools over a 90-d microcosm incubation under aerobic conditions. The main findings suggest that growing rice under CF resulted in a lower abundance of fine roots and favoured the accumulation of root-associated IP compared to AWD. This, together with their greater content of aromatic and alkyl C moieties, was mainly responsible for the slower turnover of fine compared to coarse roots, and their slightly greater contribution to mineral-associated OC pools, without considerably affecting native SOC priming. We conclude that evaluating the effects of water management practices, among other parameters, on belowground C inputs and rice root traits may help decipher the root C turnover and contribution to stable SOC in rice paddies.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"213 ","pages":"Article 110036"},"PeriodicalIF":10.3,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145441531","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 : 2025-11-03DOI: 10.1016/j.soilbio.2025.110028
Chao Wang , Xiaoyi Huang , Jing Yu , Yue Liu , Fangying Qu , Jian Wang , Xu Wang , Edith Bai
Soil biodiversity is declining globally due to human activities and climate change, but the consequences for soil carbon cycling and carbon dioxide (CO2) emissions remain poorly understood. Here, we investigated the relationship between microbial diversity and soil CO2 flux using a microbial dilution-to-extinction approach across three land-use types (forest, grassland and cropland). We find that soil CO2 fluxes respond nonlinearly to diversity loss, increasing initially at moderate diversity loss, then declining sharply at severe loss. Several key microbial physiological properties, including microbial carbon use efficiency (CUE), nitrogen use efficiency (NUE), and turnover rate, exhibit similar hump-shaped responses to declining diversity. Linear mixed-effects models show that microbial turnover and NUE are positively correlated with soil CO2 fluxes, whereas microbial CUE and the interaction between turnover and NUE are negatively correlated with them. Structural equation modeling approaches further demonstrate that indirect effects mediated by microbial physiological properties, especially turnover rate, exert a stronger influence on soil CO2 fluxes than the direct effects of diversity loss. Together, these findings highlight the complexity of biodiversity-function relationships in soils and emphasize the need to incorporate microbial physiological properties into soil carbon cycle models in the context of global biodiversity change.
{"title":"Nonlinear effect of microbial diversity loss on soil carbon flux","authors":"Chao Wang , Xiaoyi Huang , Jing Yu , Yue Liu , Fangying Qu , Jian Wang , Xu Wang , Edith Bai","doi":"10.1016/j.soilbio.2025.110028","DOIUrl":"10.1016/j.soilbio.2025.110028","url":null,"abstract":"<div><div>Soil biodiversity is declining globally due to human activities and climate change, but the consequences for soil carbon cycling and carbon dioxide (CO<sub>2</sub>) emissions remain poorly understood. Here, we investigated the relationship between microbial diversity and soil CO<sub>2</sub> flux using a microbial dilution-to-extinction approach across three land-use types (forest, grassland and cropland). We find that soil CO<sub>2</sub> fluxes respond nonlinearly to diversity loss, increasing initially at moderate diversity loss, then declining sharply at severe loss. Several key microbial physiological properties, including microbial carbon use efficiency (CUE), nitrogen use efficiency (NUE), and turnover rate, exhibit similar hump-shaped responses to declining diversity. Linear mixed-effects models show that microbial turnover and NUE are positively correlated with soil CO<sub>2</sub> fluxes, whereas microbial CUE and the interaction between turnover and NUE are negatively correlated with them. Structural equation modeling approaches further demonstrate that indirect effects mediated by microbial physiological properties, especially turnover rate, exert a stronger influence on soil CO<sub>2</sub> fluxes than the direct effects of diversity loss. Together, these findings highlight the complexity of biodiversity-function relationships in soils and emphasize the need to incorporate microbial physiological properties into soil carbon cycle models in the context of global biodiversity change.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"213 ","pages":"Article 110028"},"PeriodicalIF":10.3,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145428042","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 : 2025-11-01DOI: 10.1016/j.soilbio.2025.110027
Min Liu , Xingliang Xu , Peng Jin , Helge Bruelheide , Yakov Kuzyakov , Richard D. Bardgett , Wolfgang Wanek
Plants uptake nitrogen (N) from soils in inorganic forms, such as ammonium (NH4+) and nitrate (NO3−), but also in the form of organic compounds like amino acids. Despite extensive research on terrestrial N cycling, the patterns and underpinning mechanisms of inorganic and organic N uptake by tree species across forest biomes remained very uncertain. To address this knowledge gap, we conducted field-based hydroponic labelling experiments on 34 tree species spanning from temperate to subtropical and tropical climate zones. We assessed uptake rates of nine common amino acids (15N and 13C dual-labelled) alongside with NH4+ and NO3− (15N-labelled) at micromolar concentrations. Root morphological traits, soil chemical properties, soil N pool sizes and microbial N functional genes were determined to assess their role in explaining differential N uptake among tree species and forest biomes. Our results demonstrated stable N uptake rates and preferences across all forest biomes but showed large differences among N forms. Such N uptake was predominantly affected by N intrinsic properties, followed by effects of soil properties and microbial N functional genes on soil N availability, while controls by tree root traits were weakest. Mean uptake rates of single amino acids contributed to 39 % of the total root N uptake, with NH4+ showing the highest (56 %), and NO3− showing the lowest uptake rates (5.0 %). Uptake rates of positively charged and high N% amino acids such as arginine, histidine, and lysine were fastest, i.e., 0.98, 0.81, and 0.78 μg N g−1 d. w. root h−1, respectively. Nitrogen uptake rates were faster when trees have longer and thinner fine roots, in soils with higher pH and phosphorus (P) availability and faster microbial N turnover. Our findings highlight the important role of organic N and NH4+ for tree nutrition and reveal how tree N uptake is influenced (in increasing importance) by tree root morphological traits, soil microbial N functional composition, soil resource availability, and N form intrinsic properties. These findings provide profound quantitative and predictive insights into our understanding of forest N sink processes, offering a scientific foundation for optimizing global forestry N management strategies in the context of environmental change.
植物以无机形式从土壤中吸收氮(N),如铵(NH4+)和硝酸盐(NO3 -),但也以有机化合物的形式,如氨基酸。尽管对陆地氮循环进行了广泛的研究,但森林生物群系树种对无机氮和有机氮的吸收模式和基本机制仍不确定。为了解决这一知识缺口,我们对34种树种进行了基于田间的水培标记实验,这些树种分布在温带、亚热带和热带气候区。我们评估了九种常见氨基酸(15N和13C双标记)以及NH4+和NO3 - (15N标记)在微摩尔浓度下的吸收率。根系形态特征、土壤化学性质、土壤氮库大小和微生物氮功能基因在不同树种和森林生物群落间氮吸收差异中的作用。我们的研究结果表明,所有森林生物群落的氮素吸收速率和偏好都很稳定,但氮素形态之间存在较大差异。氮素吸收主要受氮素内在特性的影响,其次是土壤特性和微生物氮功能基因对土壤氮素有效性的影响,而根系性状对土壤氮素有效性的影响最弱。单氨基酸的平均吸收率占根系总氮吸收率的39%,其中NH4+吸收率最高(56%),NO3 -吸收率最低(5.0%)。对带正电荷和高N%氨基酸如精氨酸、组氨酸和赖氨酸的吸收速率最快,分别为0.98、0.81和0.78 μg N g-1 d w根h-1。在pH和磷有效度较高、微生物氮周转快的土壤中,树木细根长、细根细的土壤吸收氮速率较高。我们的研究结果强调了有机氮和NH4+对树木营养的重要作用,并揭示了树木对N的吸收如何受到树木根系形态特征、土壤微生物N功能组成、土壤资源有效性以及树木和森林生物群落中N形态固有特性的影响(其重要性日益增加)。这些发现为我们对森林氮汇过程的理解提供了深刻的定量和预测见解,为优化环境变化背景下的全球森林氮管理策略提供了科学依据。
{"title":"Advancing predictive understanding of tree organic and inorganic nitrogen uptake across forest biomes","authors":"Min Liu , Xingliang Xu , Peng Jin , Helge Bruelheide , Yakov Kuzyakov , Richard D. Bardgett , Wolfgang Wanek","doi":"10.1016/j.soilbio.2025.110027","DOIUrl":"10.1016/j.soilbio.2025.110027","url":null,"abstract":"<div><div>Plants uptake nitrogen (N) from soils in inorganic forms, such as ammonium (NH<sub>4</sub><sup>+</sup>) and nitrate (NO<sub>3</sub><sup>−</sup>), but also in the form of organic compounds like amino acids. Despite extensive research on terrestrial N cycling, the patterns and underpinning mechanisms of inorganic and organic N uptake by tree species across forest biomes remained very uncertain. To address this knowledge gap, we conducted field-based hydroponic labelling experiments on 34 tree species spanning from temperate to subtropical and tropical climate zones. We assessed uptake rates of nine common amino acids (<sup>15</sup>N and <sup>13</sup>C dual-labelled) alongside with NH<sub>4</sub><sup>+</sup> and NO<sub>3</sub><sup>−</sup> (<sup>15</sup>N-labelled) at micromolar concentrations. Root morphological traits, soil chemical properties, soil N pool sizes and microbial N functional genes were determined to assess their role in explaining differential N uptake among tree species and forest biomes. Our results demonstrated stable N uptake rates and preferences across all forest biomes but showed large differences among N forms. Such N uptake was predominantly affected by N intrinsic properties, followed by effects of soil properties and microbial N functional genes on soil N availability, while controls by tree root traits were weakest. Mean uptake rates of single amino acids contributed to 39 % of the total root N uptake, with NH<sub>4</sub><sup>+</sup> showing the highest (56 %), and NO<sub>3</sub><sup>−</sup> showing the lowest uptake rates (5.0 %). Uptake rates of positively charged and high N% amino acids such as arginine, histidine, and lysine were fastest, i.e., 0.98, 0.81, and 0.78 μg N g<sup>−1</sup> d. w. root h<sup>−1</sup>, respectively. Nitrogen uptake rates were faster when trees have longer and thinner fine roots, in soils with higher pH and phosphorus (P) availability and faster microbial N turnover. Our findings highlight the important role of organic N and NH<sub>4</sub><sup>+</sup> for tree nutrition and reveal how tree N uptake is influenced (in increasing importance) by tree root morphological traits, soil microbial N functional composition, soil resource availability, and N form intrinsic properties. These findings provide profound quantitative and predictive insights into our understanding of forest N sink processes, offering a scientific foundation for optimizing global forestry N management strategies in the context of environmental change.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"213 ","pages":"Article 110027"},"PeriodicalIF":10.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145411688","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}
Anthropogenic nitrogen (N) deposition and phosphorus (P) enrichment are profoundly altering terrestrial ecosystem stoichiometry, with particularly pronounced impacts on the fragile alpine meadow ecosystems. Yet, the effects of N and P inputs on critical metabolic functions of soil microbial communities remain poorly understood. Here, we conducted a 4-year N and P addition experiment in alpine meadows on the Qinghai-Tibetan Plateau. Our results demonstrate that N and P additions increased soil nitrate by 10.3-fold and 2-fold, respectively, but concurrently reduced plant species richness by 44.3 % and 33.6 %, favoring the dominance of grasses. N fertilization markedly increased the abundance of amoA genes (5.7-fold) and microbial alpha-diversity, accelerating nitrification processes. In contrast, low-level P addition (50 kg P Ha−2) enhanced the diversity of phoD (alkaline phosphatase) genes (Richness: +6.8 %, Shannon index: +2.0 %). Metagenomic analysis revealed a shift towards copiotrophic bacteria (e.g., Proteobacteria) by N enrichment, while P addition boosted predatory bacteria (e.g., Myxococcus). Both nutrient additions altered carbon (C) metabolism. This shift favored the metagenomic functions of proteins biosynthesis and ATP synthases for growth-associated synthetic processes, over the synthesis of complex compounds (e.g, aromatic compounds). This led to a depletion of complex lipids and aromatic compounds, which are crucial for stable soil organic matter formation. These findings demonstrate that N and (or) P inputs profoundly reshape microbial community structure and metabolism, with implications for C stability and functioning of these vulnerable ecosystems under ongoing global change and human disturbance.
{"title":"Nitrogen and phosphorus additions reshape soil microbial metabolic functions in Qinghai-Tibetan Plateau alpine meadows","authors":"Jiayi Zhao , Yuying Jiang , Fei Ren , Lanping Li , Huaihai Chen","doi":"10.1016/j.soilbio.2025.110026","DOIUrl":"10.1016/j.soilbio.2025.110026","url":null,"abstract":"<div><div>Anthropogenic nitrogen (N) deposition and phosphorus (P) enrichment are profoundly altering terrestrial ecosystem stoichiometry, with particularly pronounced impacts on the fragile alpine meadow ecosystems. Yet, the effects of N and P inputs on critical metabolic functions of soil microbial communities remain poorly understood. Here, we conducted a 4-year N and P addition experiment in alpine meadows on the Qinghai-Tibetan Plateau. Our results demonstrate that N and P additions increased soil nitrate by 10.3-fold and 2-fold, respectively, but concurrently reduced plant species richness by 44.3 % and 33.6 %, favoring the dominance of grasses. N fertilization markedly increased the abundance of <em>amoA</em> genes (5.7-fold) and microbial alpha-diversity, accelerating nitrification processes. In contrast, low-level P addition (50 kg P Ha<sup>−2</sup>) enhanced the diversity of <em>phoD</em> (alkaline phosphatase) genes (Richness: +6.8 %, Shannon index: +2.0 %). Metagenomic analysis revealed a shift towards copiotrophic bacteria (e.g., Proteobacteria) by N enrichment, while P addition boosted predatory bacteria (e.g., <em>Myxococcus</em>). Both nutrient additions altered carbon (C) metabolism. This shift favored the metagenomic functions of proteins biosynthesis and ATP synthases for growth-associated synthetic processes, over the synthesis of complex compounds (e.g, aromatic compounds). This led to a depletion of complex lipids and aromatic compounds, which are crucial for stable soil organic matter formation. These findings demonstrate that N and (or) P inputs profoundly reshape microbial community structure and metabolism, with implications for C stability and functioning of these vulnerable ecosystems under ongoing global change and human disturbance.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"213 ","pages":"Article 110026"},"PeriodicalIF":10.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145411689","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 : 2025-10-31DOI: 10.1016/j.soilbio.2025.110025
Ziyue Wang , Man Liu , Wenli Ding , Zhihui Chang , Benjamin L. Turner , Hans Lambers
Earthworms are integral to soil processes and influence plant growth and phosphorus (P) nutrition. We investigated the role of earthworms in the P cycle by synthesizing data from 181 studies, of which 22 % were field observations and 78 % were from pot or mesocosm experiments. Earthworms increase the concentration of soil Olsen P and microbial P, phosphatase activity, and plant biomass. Deep-dwelling epi-anecic and anecic earthworms are more effective than other ecological groups at increasing the soil available P, although surface-dwelling earthworms (epigeic and endogeic) contribute more effectively to plant P uptake. The increase of plant biomass by earthworms decreases with increasing organic matter content, but Olsen P concentration and plant P uptake show the opposite trend. Moreover, the impact of endogeic earthworms on P is sensitive to soil organic matter content. The positive effects of earthworms on P cycling are more pronounced under acidic and alkaline conditions than under neutral conditions (6.5–7.5). Finally, the increased available P concentration due to earthworms directly stimulates microbial P uptake, while all three main ecological categories of earthworms indirectly stimulate root growth and increase plant P uptake. Overall, earthworms can effectively promote P cycling in ecosystems, with a more significant effect in nutrient-poor soils.
{"title":"Earthworms enhance soil phosphorus cycling but plant responses differ among earthworm ecological categories: a meta-analysis","authors":"Ziyue Wang , Man Liu , Wenli Ding , Zhihui Chang , Benjamin L. Turner , Hans Lambers","doi":"10.1016/j.soilbio.2025.110025","DOIUrl":"10.1016/j.soilbio.2025.110025","url":null,"abstract":"<div><div>Earthworms are integral to soil processes and influence plant growth and phosphorus (P) nutrition. We investigated the role of earthworms in the P cycle by synthesizing data from 181 studies, of which 22 % were field observations and 78 % were from pot or mesocosm experiments. Earthworms increase the concentration of soil Olsen P and microbial P, phosphatase activity, and plant biomass. Deep-dwelling <em>epi</em>-anecic and anecic earthworms are more effective than other ecological groups at increasing the soil available P, although surface-dwelling earthworms (epigeic and endogeic) contribute more effectively to plant P uptake. The increase of plant biomass by earthworms decreases with increasing organic matter content, but Olsen P concentration and plant P uptake show the opposite trend. Moreover, the impact of endogeic earthworms on P is sensitive to soil organic matter content. The positive effects of earthworms on P cycling are more pronounced under acidic and alkaline conditions than under neutral conditions (6.5–7.5). Finally, the increased available P concentration due to earthworms directly stimulates microbial P uptake, while all three main ecological categories of earthworms indirectly stimulate root growth and increase plant P uptake. Overall, earthworms can effectively promote P cycling in ecosystems, with a more significant effect in nutrient-poor soils.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"213 ","pages":"Article 110025"},"PeriodicalIF":10.3,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145411692","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 : 2025-10-29DOI: 10.1016/j.soilbio.2025.110024
M. Bahram , L. Lehtovirta-Morley , V. Mikryukov , T.R. Sveen , A. Grant , M. Pent , F. Hildebrand , M. Labouyrie , J. Köninger , L. Tedersoo , A. Jones , P. Panagos , A. Orgiazzi
Archaea are an important group of soil organisms that play key roles in carbon and nitrogen cycling, particularly in nitrification (ammonia oxidation) and methanogenesis. However, there are knowledge gaps regarding their importance in ecosystem processes relative to other microbial groups and how they may be impacted by land-use and environmental changes. Here, by carrying out a continental-scale sample collection and utilising archaea-specific primers for metabarcoding and shotgun metagenomics, we aimed to decipher the structure and function of archaeal communities across various land-use types in Europe. Metagenomic data reveal that land-use intensification increases the relative abundance of archaea, whereas bacteria and eukaryotes show no increase. Alongside this, ammonia oxidising archaea (AOA) increase as a proportion of the total metabarcoding reads, from 1 % of archaea in coniferous woodland to >90 % in croplands. Functional gene profiles reveal that land-use intensification shifts archaeal communities from adaptive metabolic pathways in forests to specialised, ammonia-oxidising microbes in fertiliser-enriched cropland soils. Our data suggest that land-use intensification may shift archaeal communities toward greater dependence on external nitrogen inputs, with potential consequences for soil fertility and greenhouse gas emissions.
{"title":"Intensive land use enhances soil ammonia-oxidising archaea at a continental scale","authors":"M. Bahram , L. Lehtovirta-Morley , V. Mikryukov , T.R. Sveen , A. Grant , M. Pent , F. Hildebrand , M. Labouyrie , J. Köninger , L. Tedersoo , A. Jones , P. Panagos , A. Orgiazzi","doi":"10.1016/j.soilbio.2025.110024","DOIUrl":"10.1016/j.soilbio.2025.110024","url":null,"abstract":"<div><div>Archaea are an important group of soil organisms that play key roles in carbon and nitrogen cycling, particularly in nitrification (ammonia oxidation) and methanogenesis. However, there are knowledge gaps regarding their importance in ecosystem processes relative to other microbial groups and how they may be impacted by land-use and environmental changes. Here, by carrying out a continental-scale sample collection and utilising archaea-specific primers for metabarcoding and shotgun metagenomics, we aimed to decipher the structure and function of archaeal communities across various land-use types in Europe. Metagenomic data reveal that land-use intensification increases the relative abundance of archaea, whereas bacteria and eukaryotes show no increase. Alongside this, ammonia oxidising archaea (AOA) increase as a proportion of the total metabarcoding reads, from 1 % of archaea in coniferous woodland to >90 % in croplands. Functional gene profiles reveal that land-use intensification shifts archaeal communities from adaptive metabolic pathways in forests to specialised, ammonia-oxidising microbes in fertiliser-enriched cropland soils. Our data suggest that land-use intensification may shift archaeal communities toward greater dependence on external nitrogen inputs, with potential consequences for soil fertility and greenhouse gas emissions.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"213 ","pages":"Article 110024"},"PeriodicalIF":10.3,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145382540","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 : 2025-10-25DOI: 10.1016/j.soilbio.2025.110021
Si-moussi Sara , Thuiller Wilfried , Galbrun Esther , Decaëns Thibaud , Gérard Sylvain , Marchán Daniel F. , Marsden Claire , Capowiez Yvan , Hedde Mickaël
Earthworms are key drivers of soil function, influencing organic matter turnover, nutrient cycling, and soil structure. Understanding the environmental controls on their distribution is essential for predicting the impacts of land use and climate change on soil ecosystems. While local studies have identified abiotic drivers of earthworm communities, broad-scale spatial patterns remain underexplored. We developed a multi-species, multi-task deep learning model to jointly predict the distribution of 77 earthworm species across metropolitan France, using historical (1960–1970) and contemporary (1990–2020) records. The model integrates climate, soil, and land cover variables to estimate habitat suitability. We applied SHapley Additive exPlanations (SHAP) to identify key environmental drivers and used species clustering to reveal ecological response groups. The joint model achieved high predictive performance (TSS >0.7) and improved predictions for rare species compared to traditional species distribution models. Shared feature extraction across species allowed for more robust identification of common and contrasting environmental responses. Precipitation variability, temperature seasonality, and land cover emerged as dominant predictors of earthworm distribution but differed in ranking across species and functional groups. Species clustering into response groups to climatic, land use and soil revealed distinct ecological strategies including a gradient of sensitivity to precipitation seasonality, differential habitat preferences in terms of vegetation cover and wetness and trade-offs between soil acidity and organic matter quality. Our study advances both the methodological and ecological understanding of soil biodiversity. We demonstrate the utility of interpretable deep learning approaches for large-scale soil fauna modeling and provide new insights into earthworm habitat specialization. These findings highlight land cover and seasonal climate variability as efficient proxies for soil biodiversity, providing actionable indicators for global monitoring initiatives and helping to identify habitat requirements of earthworm species to guide emerging earthworm conservation strategies in the face of global environmental change.
{"title":"Digging deeper: deep joint species distribution modeling reveals environmental drivers of Earthworm Communities","authors":"Si-moussi Sara , Thuiller Wilfried , Galbrun Esther , Decaëns Thibaud , Gérard Sylvain , Marchán Daniel F. , Marsden Claire , Capowiez Yvan , Hedde Mickaël","doi":"10.1016/j.soilbio.2025.110021","DOIUrl":"10.1016/j.soilbio.2025.110021","url":null,"abstract":"<div><div>Earthworms are key drivers of soil function, influencing organic matter turnover, nutrient cycling, and soil structure. Understanding the environmental controls on their distribution is essential for predicting the impacts of land use and climate change on soil ecosystems. While local studies have identified abiotic drivers of earthworm communities, broad-scale spatial patterns remain underexplored. We developed a multi-species, multi-task deep learning model to jointly predict the distribution of 77 earthworm species across metropolitan France, using historical (1960–1970) and contemporary (1990–2020) records. The model integrates climate, soil, and land cover variables to estimate habitat suitability. We applied SHapley Additive exPlanations (SHAP) to identify key environmental drivers and used species clustering to reveal ecological response groups. The joint model achieved high predictive performance (TSS >0.7) and improved predictions for rare species compared to traditional species distribution models. Shared feature extraction across species allowed for more robust identification of common and contrasting environmental responses. Precipitation variability, temperature seasonality, and land cover emerged as dominant predictors of earthworm distribution but differed in ranking across species and functional groups. Species clustering into response groups to climatic, land use and soil revealed distinct ecological strategies including a gradient of sensitivity to precipitation seasonality, differential habitat preferences in terms of vegetation cover and wetness and trade-offs between soil acidity and organic matter quality. Our study advances both the methodological and ecological understanding of soil biodiversity. We demonstrate the utility of interpretable deep learning approaches for large-scale soil fauna modeling and provide new insights into earthworm habitat specialization. These findings highlight land cover and seasonal climate variability as efficient proxies for soil biodiversity, providing actionable indicators for global monitoring initiatives and helping to identify habitat requirements of earthworm species to guide emerging earthworm conservation strategies in the face of global environmental change.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"212 ","pages":"Article 110021"},"PeriodicalIF":10.3,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145382552","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 : 2025-10-22DOI: 10.1016/j.soilbio.2025.110022
Wei Wang , Yang Wang , Jian-Ming Li , Meng-Ying Li , Peng He , Yongxing Cui , Sheng-Jun Ji , Wen-Ying Wang , Levis Kavagi , Muhammd Ashraf , Yinglong Chen , Matthias C. Rillig , You-Cai Xiong
Long-term intercropping represents a key strategy to boost productive and ecological benefits. However, its potential to mitigate soil carbon-climate feedbacks remains unclear. Through a decade-long field investigation, we systematically characterized soil organic carbon (SOC) persistence, bioavailability, microbial traits, and soil properties in both intercropping and monoculture systems. Parallel controlled incubation experiments were conducted to quantify the temperature sensitivity (Q10) of SOC decomposition. The relative contributions of these biotic and abiotic factors to Q10 variability were ultimately determined using mixed-effects modeling. We found that cereal-legume intercropping significantly reduced the Q10 on average by 14.1–18.2 %, relative to monocultures, significantly facilitating carbon resilience of agroecosystems. This effect was closely associated with increased SOC persistence driven by both the chemical recalcitrance of SOC (e.g., Alkyl C and Aromatic C) and its chemical protection through mineral associations. Particularly, sustained intercropping was observed to elevate soil microbial abundance (12.0–39.8 %) and α-diversity (2.4–8.9 %), and network complexity mediated by the enrichment of keystone taxa. Mechanistically, both microorganisms and substrates showcased evident positive effects on improving the resilience of microbial networks and carbon stability, thereby reducing carbon loss caused by warming. Therefore, long-term cereal–legume intercropping can act as a scalable strategy to facilitate climate–smart agriculture and Sustainable Development Goals.
{"title":"Long-term intercropping mitigates warming-induced carbon loss via enhancing microbial and substrate resistance","authors":"Wei Wang , Yang Wang , Jian-Ming Li , Meng-Ying Li , Peng He , Yongxing Cui , Sheng-Jun Ji , Wen-Ying Wang , Levis Kavagi , Muhammd Ashraf , Yinglong Chen , Matthias C. Rillig , You-Cai Xiong","doi":"10.1016/j.soilbio.2025.110022","DOIUrl":"10.1016/j.soilbio.2025.110022","url":null,"abstract":"<div><div>Long-term intercropping represents a key strategy to boost productive and ecological benefits. However, its potential to mitigate soil carbon-climate feedbacks remains unclear. Through a decade-long field investigation, we systematically characterized soil organic carbon (SOC) persistence, bioavailability, microbial traits, and soil properties in both intercropping and monoculture systems. Parallel controlled incubation experiments were conducted to quantify the temperature sensitivity (Q<sub>10</sub>) of SOC decomposition. The relative contributions of these biotic and abiotic factors to Q<sub>10</sub> variability were ultimately determined using mixed-effects modeling. We found that cereal-legume intercropping significantly reduced the Q<sub>10</sub> on average by 14.1–18.2 %, relative to monocultures, significantly facilitating carbon resilience of agroecosystems. This effect was closely associated with increased SOC persistence driven by both the chemical recalcitrance of SOC (e.g., Alkyl C and Aromatic C) and its chemical protection through mineral associations. Particularly, sustained intercropping was observed to elevate soil microbial abundance (12.0–39.8 %) and α-diversity (2.4–8.9 %), and network complexity mediated by the enrichment of keystone taxa. Mechanistically, both microorganisms and substrates showcased evident positive effects on improving the resilience of microbial networks and carbon stability, thereby reducing carbon loss caused by warming. Therefore, long-term cereal–legume intercropping can act as a scalable strategy to facilitate climate–smart agriculture and Sustainable Development Goals.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"212 ","pages":"Article 110022"},"PeriodicalIF":10.3,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363841","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 : 2025-10-19DOI: 10.1016/j.soilbio.2025.110023
Ling Li , Chao Xue , Yue Wang , Mingtao Liu , Junjie Guo , Manqiang Liu , Qirong Shen , Ning Ling
Microbial life-history strategies determine how microbial communities prioritize resource allocation toward growth, resource acquisition, or stress tolerance. However, how soil microbial communities adjust their life-history strategies in response to distinct soil fertility remains poorly understood. In this study, metatranscriptomic sequencing was performed to investigate shifts in microbial life-history strategies in soils with different fertility, developed by 37 year diverse fertilization regimes: no fertilization, mineral fertilization, manure fertilization, and combined mineral/manure fertilization. Organic amendments increased the transcript abundance of genes (normalized by transcripts per million [TPM]) related to biogeochemical cycles by 13 %–246 % relative to unfertilized soils. We quantified the relative transcript abundance of each functional pathway within individual biogeochemical cycles to compare transcriptional allocation across treatments. Within each cycle, organic amendments increased the relative transcript abundance of genes involved in organic matter degradation by 9 %–12 % and dissimilatory nitrate reduction by 24 %–37 % relative to unfertilized soils. Although TPM-normalized transcript abundance of growth-associated genes increased 1.8- to 2.2-fold in fertilized soils, their relative abundance among all life-history transcripts remained stable at approximately 77 %. Organic inputs altered microbial resource allocation by favoring resource acquisition over stress tolerance. This shift was associated with increased nutrient availability and soil pH neutralization. Taxonomic analysis revealed growth yield as the dominant strategy across most phyla. Within each strategy, Desulfobacterota showed a strong association with growth yield, Verrucomicrobiota with resource acquisition, and Pseudomonadota and Actinomycetota with stress tolerance. Notably, while strategy preferences were broadly conserved across phyla, fertilization modulated the intensity of strategy-specific gene expression, indicating functional plasticity of microbial communities in response to environmental change. Collectively, our findings suggest that differences in soil fertility resulting from long-term fertilization alter microbial resource allocation among life-history strategies by changing the functional expression of transcripts assigned to different taxa, reflecting the functional plasticity of soil microbial communities under intensified agriculture.
{"title":"Microbial lifestyles adapted to distinct soil fertility","authors":"Ling Li , Chao Xue , Yue Wang , Mingtao Liu , Junjie Guo , Manqiang Liu , Qirong Shen , Ning Ling","doi":"10.1016/j.soilbio.2025.110023","DOIUrl":"10.1016/j.soilbio.2025.110023","url":null,"abstract":"<div><div>Microbial life-history strategies determine how microbial communities prioritize resource allocation toward growth, resource acquisition, or stress tolerance. However, how soil microbial communities adjust their life-history strategies in response to distinct soil fertility remains poorly understood. In this study, metatranscriptomic sequencing was performed to investigate shifts in microbial life-history strategies in soils with different fertility, developed by 37 year diverse fertilization regimes: no fertilization, mineral fertilization, manure fertilization, and combined mineral/manure fertilization. Organic amendments increased the transcript abundance of genes (normalized by transcripts per million [TPM]) related to biogeochemical cycles by 13 %–246 % relative to unfertilized soils. We quantified the relative transcript abundance of each functional pathway within individual biogeochemical cycles to compare transcriptional allocation across treatments. Within each cycle, organic amendments increased the relative transcript abundance of genes involved in organic matter degradation by 9 %–12 % and dissimilatory nitrate reduction by 24 %–37 % relative to unfertilized soils. Although TPM-normalized transcript abundance of growth-associated genes increased 1.8- to 2.2-fold in fertilized soils, their relative abundance among all life-history transcripts remained stable at approximately 77 %. Organic inputs altered microbial resource allocation by favoring resource acquisition over stress tolerance. This shift was associated with increased nutrient availability and soil pH neutralization. Taxonomic analysis revealed growth yield as the dominant strategy across most phyla. Within each strategy, Desulfobacterota showed a strong association with growth yield, Verrucomicrobiota with resource acquisition, and Pseudomonadota and Actinomycetota with stress tolerance. Notably, while strategy preferences were broadly conserved across phyla, fertilization modulated the intensity of strategy-specific gene expression, indicating functional plasticity of microbial communities in response to environmental change. Collectively, our findings suggest that differences in soil fertility resulting from long-term fertilization alter microbial resource allocation among life-history strategies by changing the functional expression of transcripts assigned to different taxa, reflecting the functional plasticity of soil microbial communities under intensified agriculture.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"212 ","pages":"Article 110023"},"PeriodicalIF":10.3,"publicationDate":"2025-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314683","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 : 2025-10-18DOI: 10.1016/j.soilbio.2025.110019
Jie Zheng , Ziyi Peng , Francisco Dini-Andreote , Andrew D. Barnes , Guangping Shi , Anton M. Potapov , Shungui Zhou , Yuji Jiang
Energy fluxes driven by predation are crucial to the relationships between biodiversity and ecosystem functioning in soils. However, there is little empirical evidence connecting these fluxes within soil micro-food webs to soil multifunctionality. Here, we initially used a long-term field experiment to investigate the extent to which nematode predation influences energy fluxes in soil micro-food webs and, in turn, impacts soil multifunctionality. Based on our analysis of body mass-scaled metabolic rates for 70 organismal groups, we estimated that nematodes require roughly three orders of magnitude more energy per individual than bacteria. In the field, we found nematode addition to increase multitrophic diversity and to strengthen interactions between bacteria-feeding nematodes and bacteria. This resulted in multitrophic energy fluxes that were 5.9–169.4 % greater than in soil lacking nematode additions. Specifically, nematode addition reinforced the bacterial energy channel, resulting in greater energy transfer from basal resources to bacteria and subsequently to protists and bacterivorous or omnivorous-predatory nematodes, which altered energy composition and reduced energy flow uniformity. Moreover, our results revealed that elevated multitrophic diversity and shifts in the energetic structure of soil micro-food webs mediated the enhancement in soil multifunctionality. Lastly, a complementary 13C-tracer microcosm experiment validated selective predation by nematodes on bacterial taxa (e.g., Mesorhizobium and Paenibacillus), as shown by significant positive correlations between 13C-labeled bacteria and 13C-enriched nematodes that explain the trophic transfer observed in nematode addition field treatments. Taken together, this study demonstrates that selective predation by nematodes reorganizes energy flow within soil micro-food webs, offering mechanistic evidence that predator-driven shifts in energy flow underpin biodiversity-function relationships in agricultural soils.
{"title":"Nematode predation modulates the energetic dynamics of soil micro-food webs with consequences for soil multifunctionality","authors":"Jie Zheng , Ziyi Peng , Francisco Dini-Andreote , Andrew D. Barnes , Guangping Shi , Anton M. Potapov , Shungui Zhou , Yuji Jiang","doi":"10.1016/j.soilbio.2025.110019","DOIUrl":"10.1016/j.soilbio.2025.110019","url":null,"abstract":"<div><div>Energy fluxes driven by predation are crucial to the relationships between biodiversity and ecosystem functioning in soils. However, there is little empirical evidence connecting these fluxes within soil micro-food webs to soil multifunctionality. Here, we initially used a long-term field experiment to investigate the extent to which nematode predation influences energy fluxes in soil micro-food webs and, in turn, impacts soil multifunctionality. Based on our analysis of body mass-scaled metabolic rates for 70 organismal groups, we estimated that nematodes require roughly three orders of magnitude more energy per individual than bacteria. In the field, we found nematode addition to increase multitrophic diversity and to strengthen interactions between bacteria-feeding nematodes and bacteria. This resulted in multitrophic energy fluxes that were 5.9–169.4 % greater than in soil lacking nematode additions. Specifically, nematode addition reinforced the bacterial energy channel, resulting in greater energy transfer from basal resources to bacteria and subsequently to protists and bacterivorous or omnivorous-predatory nematodes, which altered energy composition and reduced energy flow uniformity. Moreover, our results revealed that elevated multitrophic diversity and shifts in the energetic structure of soil micro-food webs mediated the enhancement in soil multifunctionality. Lastly, a complementary <sup>13</sup>C-tracer microcosm experiment validated selective predation by nematodes on bacterial taxa (e.g., <em>Mesorhizobium</em> and <em>Paenibacillus</em>), as shown by significant positive correlations between <sup>13</sup>C-labeled bacteria and <sup>13</sup>C-enriched nematodes that explain the trophic transfer observed in nematode addition field treatments. Taken together, this study demonstrates that selective predation by nematodes reorganizes energy flow within soil micro-food webs, offering mechanistic evidence that predator-driven shifts in energy flow underpin biodiversity-function relationships in agricultural soils.</div></div>","PeriodicalId":21888,"journal":{"name":"Soil Biology & Biochemistry","volume":"212 ","pages":"Article 110019"},"PeriodicalIF":10.3,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314682","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}