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Lithological controls on SOC fractions through the coupling of microbial CAZyme genes and necromass in karst and non-karst forests 喀斯特和非喀斯特森林中微生物酶基因与坏死块耦合对有机碳组分的岩性控制
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-06 DOI: 10.1016/j.apsoil.2026.106784
Tao Yang , Mu Yang , Jinxing Zhou , Xiawei Peng
Lithological can strongly regulate soil organic carbon (SOC) dynamics by shaping mineral protection and microbial metabolic pathways, yet the mechanisms linking microbial carbohydrate-active enzymes (CAZyme) mediated organic matter metabolism to the formation and stabilization of microbial necromass, remain largely unresolved. Here, we quantified microbial necromass C, SOC functional fractions, and CAZyme gene abundances involved in the degradation of plant- and microbe-derived C across paired karst (carbonate-rich) and non-karst (carbonate-free) conifer forests. Our findings showed that karst soils contained higher SOC contents and a higher mineral-associated organic C to particulate organic C ratio (MAOC/POC, a key indicator of SOC stability) than non-karst soils, driven primarily by an approximately three-fold higher MAOC content, whereas exhibiting comparable POC contents. Total microbial necromass C were significantly higher in karst (6.64 g/kg−1) than non-karst (1.45 g/kg−1) soils and were positively related to MAOC in both systems; however, it was positively associated with SOC only in karst soils (R2 = 0.22, P < 0.05). These results suggest that microbial necromass is more tightly linked to SOC accumulation in carbonate-rich karst soils, consistent with enhanced mineral-mediated stabilization. Microbial CAZyme genes targeting the degradation of bacterial-, fungal-, and plant-derived components were 108.58 %, 142.56 %, and 122.27 % higher, respectively, in non-karst than in karst soils. Correlation and structural equation modeling analyses further indicated that, in non-karst soils, CAZyme gene profiles were closely linked to microbial necromass and MAOC, yet these relationships did not translate into a detectable increase in total SOC. In contrast, in karst soils, CAZyme genes related to the degradation of plant- and bacterial-derived components were consistently and positively associated with SOC and its fractions, supporting a mechanistic linkage between CAZyme functional potential and subsequent SOC sequestration. Overall, the results suggest a lithology-dependent pathway linking CAZyme-mediated organic matter processing to microbial necromass stabilization and SOC persistence.
岩性可以通过塑造矿物保护和微生物代谢途径强烈调节土壤有机碳(SOC)动态,但微生物碳水化合物活性酶(CAZyme)介导的有机物代谢与微生物坏死块形成和稳定之间的机制仍未明确。在这里,我们量化了在成对的喀斯特(富含碳酸盐)和非喀斯特(不含碳酸盐)针叶林中参与植物和微生物来源的碳降解的微生物坏死团C、有机碳功能分数和CAZyme基因丰度。结果表明,与非喀斯特土壤相比,喀斯特土壤具有更高的有机碳含量和更高的矿物相关有机碳/颗粒有机碳比(MAOC/POC,有机碳稳定性的关键指标),这主要是由于MAOC含量高出约3倍,而POC含量相当。喀斯特土壤的总微生物坏死质量C (6.64 g/kg - 1)显著高于非喀斯特土壤(1.45 g/kg - 1),且与MAOC呈正相关;与有机碳呈正相关(R2 = 0.22, P < 0.05)。这些结果表明,在富含碳酸盐的喀斯特土壤中,微生物坏死团块与有机碳积累的关系更为密切,与矿物介导的稳定性增强相一致。针对细菌来源、真菌来源和植物来源成分降解的微生物酶基因在非喀斯特土壤中分别比在喀斯特土壤中高108.58%、142.56%和122.27%。相关分析和结构方程模型分析进一步表明,在非喀斯特土壤中,CAZyme基因谱与微生物坏死团块和MAOC密切相关,但这些关系并未转化为可检测到的总SOC增加。相反,在喀斯特土壤中,与植物和细菌来源组分降解相关的CAZyme基因与有机碳及其组分一致且正相关,支持CAZyme功能电位与随后的有机碳固存之间的机制联系。总的来说,研究结果表明,一个依赖于岩性的途径将cazyme介导的有机物处理与微生物坏死团稳定和有机碳持久性联系起来。
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引用次数: 0
Stable network complexity between bacterial community and dissolved organic matter remains under three-year consecutive nitrogen addition 连续加氮3年,细菌群落与溶解有机质之间的网络复杂性保持稳定
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-06 DOI: 10.1016/j.apsoil.2025.106778
Xiaochun Yuan , Quanxin Zeng , Qiufang Zhang , Cheng-Chung Liu , Junjian Wang , Liang Zeng , Kaimiao Lin , Chaoliang Chen , Weifeng Guo , Jiacong Zhou , Juyan Cui , Xiaoli Gao , Xiaoting Fu , Yuehmin Chen
Interactions between soil microorganisms and dissolved organic matter (DOM) represent critical processes in soil carbon cycle. Yet, the effects of nitrogen (N) addition on these interactions remain unclear. Over three years, we investigated bacterial communities and DOM quantity and quality at two soil depths under varying N addition rates. While N addition reduced dissolved organic carbon content and humification indices in surface soils, bacterial diversity, life-history strategies, and DOM molecular diversity remained largely unchanged. Network analysis revealed a shift from specialist to generalist taxa within bacterial–DOM associations, yet overall network complexity indicators (node number, average degree, path length) remained stable. Structural equation modeling showed that a positive covariation between bacterial diversity and DOM molecular diversity; the neutral response of both DOM molecular diversity and bacterial life-history strategies to N inputs stabilized network complexity. Our findings highlight that bacterial functions are more closely tied to DOM quality than quantity and support the “diversity begets diversity” framework. This study provides novel insights into the microbial mechanisms stabilizing soil carbon pools under N deposition.
土壤微生物与溶解有机质(DOM)相互作用是土壤碳循环的关键过程。然而,氮(N)添加对这些相互作用的影响尚不清楚。在3年多的时间里,我们研究了不同施氮率下两个土壤深度的细菌群落和DOM的数量和质量。添加氮降低了表层土壤溶解有机碳含量和腐殖化指数,但细菌多样性、生活史策略和DOM分子多样性基本保持不变。网络分析揭示了细菌- dom关联中从专门型类群到通才型类群的转变,但总体网络复杂性指标(节点数、平均度、路径长度)保持稳定。结构方程模型表明细菌多样性与DOM分子多样性呈正相关;DOM分子多样性和细菌生活史策略对N输入的中性响应稳定了网络复杂性。我们的研究结果强调,细菌功能与DOM质量的关系比与数量的关系更密切,并支持“多样性产生多样性”的框架。本研究为研究氮沉降下稳定土壤碳库的微生物机制提供了新的思路。
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引用次数: 0
Temperature promotes soil microbial competitive dominance by modulating metabolic interactions 温度通过调节代谢相互作用促进土壤微生物的竞争优势
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-06 DOI: 10.1016/j.apsoil.2025.106777
Na Zhang , Yimei Xie , Yujuan Wang , Naoise Nunan , Yun Wang , Zhiyuan Ma , Jizhong Zhou , Jiabao Zhang , Yuting Liang
Modern coexistence theory quantifies niche and fitness differences to elucidate species competition mechanisms, yet its application to temperature-driven shifts in soil microbial competitive outcomes remains limited. Here, we observed that high temperatures intensified competition among abundant bacterial genera in soil incubation experiments, particularly leading to the competitive dominance of Pseudomonas over Rhodococcus. Specifically, in competitive experiments involving Rhodococcus erythropolis NSX2 and Pseudomonas aeruginosa SB, SB successfully outcompeted NSX2, achieving a dominance of 61.6 % at 32 °C. This competitive dominance correlated with increased niche differences (from 0.45 to 0.88) and reduced fitness differences (from 0.83 to 0.35) at higher temperatures. Additionally, single-cell Raman spectroscopy and metabolite analysis revealed that high temperature enhanced cross-feeding, resulting in the production of more beneficial metabolites and fewer antibacterial quinolones. When metabolites served as the sole carbon source under high-temperature conditions, the growth and population density of SB were significantly promoted. These findings underscore the pivotal role of temperature in shaping soil microbial competitive dominance by regulating metabolic interactions. This study advances our understanding of soil microbial competition within the framework of modern coexistence theory. By integrating the theory with metabolic analysis, this work highlights the importance of temperature-dependent microbial interactions in changing ecosystems.
现代共存理论量化了生态位和适合度差异,以阐明物种竞争机制,但其在温度驱动的土壤微生物竞争结果变化中的应用仍然有限。在这里,我们观察到高温加剧了土壤培养实验中丰富细菌属之间的竞争,特别是导致假单胞菌对红球菌的竞争优势。具体来说,在红红红球菌NSX2和铜绿假单胞菌SB的竞争实验中,SB在32°C下成功地战胜了NSX2,优势度达到61.6%。在较高的温度下,这种竞争优势与生态位差异的增加(从0.45到0.88)和适合度差异的减少(从0.83到0.35)相关。此外,单细胞拉曼光谱和代谢物分析显示,高温增强了交叉喂养,导致产生更多的有益代谢物和更少的抗菌喹诺酮类药物。高温条件下,以代谢物为唯一碳源,可显著促进褐藻的生长和种群密度。这些发现强调了温度通过调节代谢相互作用在塑造土壤微生物竞争优势中的关键作用。本研究促进了我们在现代共存理论框架内对土壤微生物竞争的理解。通过将该理论与代谢分析相结合,这项工作强调了温度依赖性微生物相互作用在不断变化的生态系统中的重要性。
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引用次数: 0
Root exudate-mediated plant–microbe interactions and next-generation strategies for sustainable nitrogen management in agricultural soils 根分泌物介导的植物-微生物相互作用和农业土壤可持续氮管理的下一代策略
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-06 DOI: 10.1016/j.apsoil.2025.106758
Nazir Ahmed , Zhengzhou Yang , Lihua Zhong , Zahoor Ahmed , Abdul Khalique , Zameer Hussain , Saqib Hussain , Bilquees Bozdar , Mehar-un-Nisa Narejo , Muzammil Hussain , Zhengjie Zhu
Agricultural nitrogen (N) losses remain a major global concern, with substantial fractions of applied fertilizer escaping as nitrate (NO3) leachate, ammonia (NH3) emissions, and nitrous oxide (N2O), thereby reducing nitrogen use efficiency and contributing to climate and water quality degradation. Strategies that retain ammonium and moderate biological oxidation are central for mitigating these losses. This review provides an integrative assessment of two major approaches to suppress nitrification: synthetic nitrification inhibitors and plant-derived root exudates. We evaluate their mechanisms, performance across contrasting soils, and associated trade-offs, including microbial guild shifts and the risk of increased NH3 volatilization. We further examined emerging innovations such as exudate-responsive fertilizers, nanomaterial-enhanced delivery systems, precision sensing technologies, and the breeding or engineering of crops with elevated biological inhibition capacity. Building on these developments, we proposed a conceptual framework linking root exudation, soil physicochemical filters, microbial functional groups, and field-scale N outcomes. Key challenges include rapid exudate transformation, soil-dependent efficacy, regulatory barriers, and the need to recalibrate monitoring tools in ammonium-enriched rhizosphere. Together, these insights outline a multi-scale pathway to improve N retention, enhance crop N-use efficiency, and more resilient agroecosystems.
农业氮(N)损失仍然是全球关注的主要问题,施用的肥料中有相当一部分以硝酸盐(NO3−)渗滤液、氨(NH3)排放和氧化亚氮(N2O)的形式逸出,从而降低了氮的利用效率,并导致气候和水质退化。保留铵和适度生物氧化的策略是减轻这些损失的核心。本文综述了抑制硝化作用的两种主要方法:合成硝化抑制剂和植物源性根分泌物。我们评估了它们的机制,在不同土壤中的表现,以及相关的权衡,包括微生物导向变化和NH3挥发增加的风险。我们进一步研究了新兴的创新,如渗出反应肥料、纳米材料增强的输送系统、精确传感技术,以及具有高生物抑制能力的作物的育种或工程。在此基础上,我们提出了一个概念框架,将根系分泌物、土壤理化过滤器、微生物功能群和田间N值结果联系起来。主要挑战包括快速渗出物转化、土壤依赖性功效、监管障碍以及重新校准富铵根际监测工具的必要性。总之,这些见解概述了一个多尺度的途径,以改善氮保留,提高作物氮利用效率,更有弹性的农业生态系统。
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引用次数: 0
Soil-specific functional perturbations of microbiota induced by 17β-estradiol: An integrated microbiomics and metabolomics analysis 17β-雌二醇诱导微生物群的土壤特异性功能扰动:微生物组学和代谢组学综合分析
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-06 DOI: 10.1016/j.apsoil.2025.106768
Zikang Zhang , Junyue Wang , Yang Chen , Yanzheng Gao , Chao Qin , Wanting Ling
The continuous input of the steroid estrogen 17β-estradiol (17β-E2) into agricultural soils via organic fertilizers is increasing annually; however, the environmental effects of such inputs on soil microbial communities and functions remain unclear. We aimed to examine the impacts of low- and high-concentration 17β-E2 treatments (LT and HT, respectively) on microbial communities and metabolism in three agricultural soils: yellow-brown earth (YBS), red soil (RS), and black soil (BS). After 4 weeks, the microbial responses varied with both soil type and 17β-E2 concentration. In the LT group, the microbial α-diversity indices of the different soils did not show significant changes, whereas in the HT group, the α-diversity indices of YBS, BS, and RS decreased by 30.68–34.56 %, 35.56–48.43 %, and 14.48–31.11 %, respectively. Distinct phylum-level responses were noted, with Bacillota dominating in YBS, Bacteroidota dominating in BS, and Actinobacteria (LT) shifting to Pseudomonadota (HT) in RS. Differential metabolites strongly correlated with these microbial shifts (r > 0.6, p < 0.05). LT downregulated metabolites in the ABC transporter, phosphotransferase system, and starch/sucrose metabolism pathways. HT further suppressed metabolites in the cutin, suberin, and wax metabolism pathways. In BS and RS, HT also impaired metabolites linked to carbon and nitrogen cycling and amino acid metabolism. These findings suggest that low-concentration 17β-E2 exposure may shift microbial metabolism toward more recalcitrant carbon, whereas high-concentration exposure may further disrupt complex organic degradation and nitrogen-related functions. This study provides critical insights into the effects of steroid estrogens on soil microbiomes and biogeochemical processes.
类固醇雌激素17β-雌二醇(17β-E2)通过有机肥进入农业土壤的持续量逐年增加;然而,这些投入对土壤微生物群落和功能的环境影响尚不清楚。本研究旨在研究低浓度和高浓度17β-E2处理(分别为LT和HT)对3种农业土壤(黄棕土(YBS)、红壤(RS)和黑土(BS))微生物群落和代谢的影响。4周后,微生物反应随土壤类型和17β-E2浓度的变化而变化。在LT组,不同土壤的微生物α-多样性指数变化不显著,而在HT组,YBS、BS和RS的α-多样性指数分别下降了30.68 ~ 34.56%、35.56 ~ 48.43%和14.48 ~ 31.11%。不同的门水平反应被注意到,在YBS中杆状杆菌属占优势,在BS中拟杆菌属占优势,在RS中放线菌属(LT)向假单胞菌属(HT)转移。差异代谢物与这些微生物转移密切相关(r > 0.6, p < 0.05)。LT下调ABC转运蛋白、磷酸转移酶系统和淀粉/蔗糖代谢途径中的代谢物。HT进一步抑制角质、木质素和蜡代谢途径中的代谢物。在BS和RS中,高温还会损害与碳、氮循环和氨基酸代谢相关的代谢物。这些发现表明,低浓度的17β-E2暴露可能使微生物代谢转向更顽固的碳,而高浓度暴露可能进一步破坏复杂的有机降解和氮相关功能。这项研究为类固醇雌激素对土壤微生物组和生物地球化学过程的影响提供了重要的见解。
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引用次数: 0
Arbuscular mycorrhizal fungi mitigate microplastic-induced shifts in soil nematode communities 丛枝菌根真菌减轻土壤线虫群落微塑料引起的变化
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-05 DOI: 10.1016/j.apsoil.2025.106765
Jinghan Yue , Yuejiao He , Wenjing Ma , Cancan Zhao , Yinzhan Liu , Li Zhang , Guoyong Li , Yaojun Zhang
Microplastic pollution increasingly threatens soil health in agroecosystems, while arbuscular mycorrhizal fungi (AMF) offer potential mitigation strategies. However, the combined effects of AMF and microplastic on soil nematodes remain poorly understood. This study evaluates the individual and interactive effects of AMF inoculation (0.96 % w/w) and microplastic contamination (0–0.60 % w/w) on soil nematode communities in peanut croplands. The results showed that among 57 identified nematode genera, AMF increased the maturity index of plant-parasitic nematodes (PPI) by 89.8 % and amplified metabolic footprints of fungivorous (Fu) and plant-parasitic (PP) groups, indicating enhanced energy channeling via root exudate-mediated pathways. Microplastics exhibited concentration-dependent impacts: low doses (0.06 %) elevated total nematode abundance by 74.4 % and bacterivore (Ba) metabolic activity, likely through microplastic-surface bacterial colonization. Higher concentrations (0.30–0.60 %) reduced total nematode abundance by 27.3–27.9 %, reflecting physical toxicity from sub-50 μm fragments. Soil pH and available phosphorus emerged as key factors driving community restructuring, with pH negatively correlating with nematode diversity, and available phosphorus positively influencing trophic group composition. These findings demonstrate AMF's dual role in enhancing plant-parasite resistance under microplastic stress while exacerbating nutrient imbalances at high contamination levels. We propose AMF application as a bioremediation tool for soils with ≤0.30 % microplastic contamination, coupled with regulatory thresholds to curb trophic cascade disruptions. This work advances strategies for sustainable soil management in plastic-polluted agroecosystems.
微塑料污染日益威胁农业生态系统中的土壤健康,而丛枝菌根真菌(AMF)提供了潜在的缓解策略。然而,AMF和微塑料对土壤线虫的联合作用仍然知之甚少。本研究评价了接种AMF (0.96% w/w)和微塑料污染(0 ~ 0.60% w/w)对花生田土壤线虫群落的个体效应和交互效应。结果表明,在鉴定的57个线虫属中,AMF使植物-寄生线虫(PPI)的成熟指数提高了89.8%,并放大了真菌-寄生线虫(Fu)和植物-寄生线虫(PP)的代谢足迹,表明通过根分泌物介导的途径增强了能量通道。微塑料表现出浓度依赖的影响:低剂量(0.06%)使线虫总丰度提高74.4%,细菌(Ba)代谢活性提高74.4%,可能是通过微塑料表面细菌定植。较高的浓度(0.30 - 0.60%)使线虫总丰度降低27.3 - 27.9%,反映了低于50 μm碎片的物理毒性。土壤pH和速效磷是影响线虫群落重构的关键因素,pH与线虫多样性呈负相关,速效磷正影响营养群组成。这些发现表明AMF在微塑性胁迫下增强植物-寄生虫抗性,同时在高污染水平下加剧营养不平衡的双重作用。我们建议将AMF作为微塑料污染≤0.30%的土壤的生物修复工具,并结合监管阈值来抑制营养级联破坏。这项工作促进了塑料污染农业生态系统中可持续土壤管理的战略。
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引用次数: 0
Ecotoxicological impact of Albendazole and low-density polyethylene microplastics on the collembola Folsomia candida (Willem, 1902) 阿苯达唑和低密度聚乙烯微塑料对念珠菌线虫的生态毒理学影响(Willem, 1902)
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-05 DOI: 10.1016/j.apsoil.2025.106764
Bartolo Forestieri , Diego Voccia , Lucrezia Lamastra , Esperanza Huerta Lwanga , Dimitrios G. Karpouzas , Cristina Nuzzi , Ilaria Negri
Plastics offer significant benefits but also pose serious environmental concerns, especially in areas of intensive livestock production where they frequently coexist in soil with veterinary drugs such as albendazole (ABZ), a broad-spectrum anthelmintic. ABZ can enter soil ecosystems either directly through cattle excretion or indirectly via the application of contaminated manure, raising concerns about its potential harmful effects on soil health. Collembola play a vital role in soil ecosystems through organic matter decomposition and nutrient cycling and the species Folsomia candida is widely used in ecotoxicological studies due to its sensitivity to pollutants. This study examined the individual and combined effects of 28-day exposure to low-density polyethylene (LDPE) microplastics (MPs) at 0 and 0.1 w/w% (0 and 1000 mg kg−1), alone or in combination with ABZ at 0, 0.0001, 0.1, and 1 w/w % (0, 1, 1000, and 10,000 mg kg−1) on F. candida in a sandy soil (LUFA 2.2.). Results showed that LDPE alone had no lethal or reproductive effects on F. candida, while ABZ, either alone or with MPs, significantly reduced the insect reproduction, pointing at ABZ as the key driver of the adverse effects. Reproductive inhibition was observed even at 1 mg kg−1, suggesting that ABZ may affect soil mesofauna at concentrations that can occur in manure-amended agricultural soils. The absence of differences in F. candida survival and reproduction suggests no synergistic effects between ABZ and MPs, nor any potential co-action mechanisms influencing ABZ behaviour under the specific experimental conditions, including soil substrate characteristics.
塑料带来了巨大的好处,但也带来了严重的环境问题,特别是在集约化畜牧生产地区,塑料经常与阿苯达唑(ABZ)等兽药共存于土壤中,这是一种广谱驱虫剂。ABZ可以通过牛的排泄物直接进入土壤生态系统,也可以通过施用受污染的粪便间接进入土壤生态系统,这引起了人们对其对土壤健康潜在有害影响的担忧。弹线虫通过有机物分解和养分循环在土壤生态系统中起着至关重要的作用,假丝酵母菌因其对污染物的敏感性而被广泛应用于生态毒理学研究。本研究考察了低密度聚乙烯(LDPE)微塑料(MPs)在0和0.1 w/w%(0和1000 mg kg - 1)下单独或与ABZ在0、0.0001、0.1和1 w/w%(0、1、1000和10000 mg kg - 1)下暴露28天对沙质土壤中假丝酵母的个体和组合影响(LUFA 2.2)。结果表明,LDPE单独对假丝酵母菌没有致死和繁殖作用,而ABZ单独或与MPs联合使用均显著降低了假丝酵母菌的繁殖,表明ABZ是其不良作用的关键驱动因素。即使在1 mg kg−1的浓度下也观察到生殖抑制,这表明ABZ可能在肥料改良的农业土壤中对土壤中系动物产生影响。假丝酵母菌的存活和繁殖没有差异,这表明ABZ和MPs之间没有协同效应,也没有任何潜在的共同作用机制影响ABZ在特定实验条件下的行为,包括土壤基质特征。
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引用次数: 0
Linking fine root and fungal traits to rhizosphere soil multifunctionality in a temperate forest 温带森林细根和真菌性状与根际土壤多功能性的联系
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-05 DOI: 10.1016/j.apsoil.2025.106756
Dongli Li , Zhenghu Zhou , Ruihan Li , Ying Jin , Chunhua Lv
Plant-fungus interactions in the rhizosphere play a vital role in regulating soil ecosystem processes, yet the coordination between fine root and fungal traits and their impact on rhizosphere soil multifunctionality remains poorly understood. Here, we compared fine root and fungal traits of arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) tree species in northeast China and assessed their influence on rhizosphere soil multifunctionality. The results showed that ECM tree species exhibited a more conservative root strategy, with greater root diameter, higher tissue density, and lower specific root length and nitrogen content compared with AM tree species. Fungal communities in ECM rhizosphere also showed a slower strategy, with higher fungal oligotroph/copiotroph ratio, greater relative abundance of mycorrhizal fungi, larger genome sizes, and smaller body sizes than those in AM rhizosphere. The positive correlation between the first principal component of fine root traits and that of rhizosphere fungal traits indicates a coordinated strategy, where faster acquisitive fine-root strategies select for faster fungal strategies in the rhizosphere, characterized by lower relative abundance of mycorrhizal fungi, smaller genomes, and larger body sizes of copiotrophic fungi. Notably, rhizosphere soil multifunctionality was significantly higher in AM tree species compared with ECM tree species, likely driven by the fast resource-acquisition strategies of both fine roots and rhizosphere fungal communities. These findings collectively highlight the pivotal roles of fine root and fungal traits in shaping rhizosphere soil multifunctionality in temperate forests.
根际植物与真菌的相互作用在调节土壤生态系统过程中起着至关重要的作用,但细根与真菌性状之间的协调及其对根际土壤多功能性的影响尚不清楚。本研究比较了东北地区丛枝菌根(AM)和外生菌根(ECM)两种树种的细根和真菌性状,并评价了它们对根际土壤多功能性的影响。结果表明,与AM树种相比,ECM树种表现出更保守的根系策略,根系直径更大,组织密度更高,比根长和氮含量更低。与AM根际相比,ECM根际真菌群落也表现出较慢的策略,具有较高的寡营养/共营养比率、较高的菌根真菌相对丰度、较大的基因组大小和较小的体大小。细根性状的第一主成分与根际真菌性状的第一主成分之间的正相关表明了一种协调策略,在根际中,更快的细根策略选择更快的真菌策略,其特征是菌根真菌的相对丰度较低,基因组较小,食腐真菌的体型较大。值得注意的是,AM树种的根际土壤多功能性显著高于ECM树种,这可能是由细根和根际真菌群落的快速资源获取策略驱动的。这些发现共同强调了细根和真菌性状在温带森林根际土壤多功能性形成中的关键作用。
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引用次数: 0
Plant diversity changes the trophic position of Collembola in temperate grassland 植物多样性改变了温带草原弹线虫的营养地位
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-05 DOI: 10.1016/j.apsoil.2025.106761
Mona Merkle , Stefan Scheu
Biodiversity loss threatens ecosystem functions, including decomposition and nutrient cycling. We investigated whether Collembola (springtails), key soil decomposers, adjust their trophic positions in response to plant diversity in a long-term temperate grassland experiment (the Jena Experiment). Using stable isotope analysis (13C, 15N), we examined trophic positions of five Collembola families across a gradient of plant species richness and plant- and soil-history treatments. In June 2021, Collembola and plant material were sampled across 240 plots. Collembola families spanned about one trophic level, forming part of the first two trophic levels of the soil food web with relatively narrow basal resource use. Our results demonstrate that Collembola trophic niches were significantly affected by soil history and legume presence. Plant diversity had a weak effect on Collembola trophic niches. Notably, the trophic position of Onychiuroidea increased from monocultures to 60 species plots by about one trophic level in new soil, suggesting a dietary shift from root feeding to microbial consumption. By contrast, the trophic position of Isotomidae decreased by about 1/3 trophic level, likely reflecting a shift towards more detrital food. Overall, the trophic level (Δ15N values) of Collembola was more strongly affected than their use of basal resources (Δ13C values). Importantly, this study is the first to document how Collembola shift trophic roles due to changes in plant diversity and soil history — offering new insights into soil food web dynamics. The findings highlight trophic flexibility of belowground detritivores, with implications for ecosystem functioning under biodiversity loss and land-use change.
生物多样性的丧失威胁到生态系统的功能,包括分解和养分循环。通过长期的温带草地实验(耶拿实验),研究了土壤分解者弹尾虫(弹尾虫)是否会根据植物多样性调整其营养位置。利用稳定同位素分析(13C, 15N),研究了5个蛭形线虫科在植物物种丰富度、植物和土壤历史处理梯度上的营养位置。2021年6月,在240个地块取样了线虫和植物材料。弹线虫科大约跨越一个营养级,构成土壤食物网前两个营养级的一部分,基础资源利用相对狭窄。结果表明,线虫的营养生态位受到土壤历史和豆科植物存在的显著影响。植物多样性对弹线虫营养生态位的影响较弱。值得注意的是,在新土壤中,Onychiuroidea的营养地位从单一栽培增加到60种样地,大约增加了一个营养水平,表明饮食从根食到微生物消耗的转变。相比之下,异tomidae的营养地位下降了约1/3,可能反映了向更多碎屑食物的转变。总体而言,弹线虫的营养水平(Δ15N值)比它们对基础资源的利用(Δ13C值)受到更强烈的影响。重要的是,这项研究首次记录了弹线虫如何因植物多样性和土壤历史的变化而改变营养角色,为土壤食物网动态提供了新的见解。这些发现强调了地下腐殖动物的营养灵活性,并对生物多样性丧失和土地利用变化下的生态系统功能产生了影响。
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引用次数: 0
DNDC-RF framework based regional soil organic carbon modeling and carbon sequestration potential prediction under climate and farm management scenarios 气候与农业管理情景下基于DNDC-RF框架的区域土壤有机碳模拟与固碳潜力预测
IF 5 2区 农林科学 Q1 SOIL SCIENCE Pub Date : 2026-01-05 DOI: 10.1016/j.apsoil.2025.106754
Yue Zhang , Zenghui Jia
<div><h3>Context</h3><div>Accurate farmland soil organic carbon (SOC) modeling in space and time, and the prediction of its future carbon sequestration potential, can help improve soil quality, increase grain yield, and plan farm management strategies in response to climate changes.</div></div><div><h3>Research question</h3><div>Process-based models simulate soil carbon at the site scale, while the widely applied machine learning (ML) based digital soil mapping (DSM) techniques cannot incorporate the carbon cycle process on the land surface. Therefore, reliable monitoring of spatio-temporal SOC storage in agricultural soils remains constrained.</div></div><div><h3>Methods</h3><div>In this study, we collected 249 paired SOC observations under different farm managements from 35 published articles conducted in the Central Jilin Province of China during 1980–2004, to evaluate SOC simulation results from the DeNitrification-DeComposition (DNDC) model. Furthermore, a total of 1947 farmland SOC data (0–20 cm) was collected in 2005, 2010, 2015, 2020, and 2024. Twenty-one environmental variables including topography, climate, soil, parent material, vegetation, and farm management, were selected as the covariates for the random forest (RF) model. Then, the DNDC-RF framework was established by integrating the annual DNDC outputs (e.g., SOC and CO<sub>2</sub>) into the RF model, extending the site-scale simulations to the spatio-temporal dynamics of farmland SOC over the period of 2005–2024. Based on the DNDC-RF results, SOC sequestration potential was predicted under two future climate scenarios (RCP 4.5 and RCP 8.5) and diverse farm managements, spanning the period from 2025 to 2100. Four management categories were designed for these future SOC predictions, including tillage [no tillage (NT), reduced tillage (RT), and deep tillage (DT)], straw return (SR), manure fertilization (MF), and chemical fertilization (CF).</div></div><div><h3>Results and conclusions</h3><div>The DNDC-RF framework exhibited good prediction accuracies in the spatio-temporal SOC prediction, with relatively high R<sup>2</sup> values (0.78, 0.75, 0.80, 0.85, and 0.79) and low root-mean-square error (RMSE) (1.15, 1.21, 1.09, 0.99, and 1.09 g kg<sup>−1</sup>) for the validation dataset in 2005, 2010, 2015, 2020, and 2024, respectively. Under different managements, MF and its related practices showed the highest increasing rates of SOC under future climate scenarios from 2025 to 2100. The highest increasing rate was observed under MF + CF + SR, with 1386–4999, 640–2099, and 494–1622 kg C ha<sup>−1</sup> yr<sup>−1</sup> for short-term (<3 y), mid-term (3–10 y), and long-term (>10 y) periods, respectively.</div></div><div><h3>Significance</h3><div>Our hybrid framework improved the spatio-temporal soil carbon mapping approach in terms of physical mechanism and spatial extension. These findings highlighted the importance of selecting optimal management strategies to enhance soil carbon
准确的农田土壤有机碳(SOC)时空模型及其未来固碳潜力预测,有助于改善土壤质量、提高粮食产量和制定应对气候变化的农业管理策略。研究问题:基于过程的模型模拟场地尺度的土壤碳,而广泛应用的基于机器学习(ML)的数字土壤制图(DSM)技术无法将地表的碳循环过程纳入其中。因此,农业土壤有机碳时空存储的可靠监测仍然受到限制。方法利用1980-2004年在吉林省中部地区发表的35篇论文中249组不同农场经营方式下的有机碳观测数据,对反硝化分解(DNDC)模型的模拟结果进行评价。2005年、2010年、2015年、2020年和2024年共收集了1947个0 ~ 20 cm农田土壤有机碳数据。选取地形、气候、土壤、母质、植被和农场管理等21个环境变量作为随机森林(RF)模型的协变量。在此基础上,通过将土壤有机碳和二氧化碳等土壤有机碳的年度输出数据整合到土壤有机碳模型中,建立了土壤有机碳-土壤有机碳模型框架,并将场地尺度的模拟扩展到2005-2024年农田土壤有机碳的时空动态。基于DNDC-RF结果,预测了2025 - 2100年两种气候情景(RCP 4.5和RCP 8.5)和不同农场管理模式下的碳固存潜力。为预测未来碳含量,设计了4个管理类别,包括免耕(NT)、免耕(RT)和深耕(DT)、秸秆还田(SR)、粪肥施肥(MF)和化学施肥(CF)。结果与结论DNDC-RF框架在2005年、2010年、2015年、2020年和2024年验证数据的时空SOC预测中具有较高的R2值(0.78、0.75、0.80、0.85和0.79)和较低的均方根误差(RMSE)(1.15、1.21、1.09、0.99和1.09 g kg−1)。在不同的管理方式下,MF及其相关实践在2025 - 2100年的未来气候情景下显示出最高的SOC增长率。MF + CF + SR的增加速率最高,短期(3年)、中期(3 - 10年)和长期(10年)的增加速率分别为1386-4999、640-2099和494-1622 kg C / ha−1年−1。本文的混合框架在物理机制和空间扩展方面改进了土壤碳时空制图方法。这些发现强调了选择最佳管理战略以加强土壤固碳以支持未来气候减缓目标的重要性。
{"title":"DNDC-RF framework based regional soil organic carbon modeling and carbon sequestration potential prediction under climate and farm management scenarios","authors":"Yue Zhang ,&nbsp;Zenghui Jia","doi":"10.1016/j.apsoil.2025.106754","DOIUrl":"10.1016/j.apsoil.2025.106754","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Context&lt;/h3&gt;&lt;div&gt;Accurate farmland soil organic carbon (SOC) modeling in space and time, and the prediction of its future carbon sequestration potential, can help improve soil quality, increase grain yield, and plan farm management strategies in response to climate changes.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Research question&lt;/h3&gt;&lt;div&gt;Process-based models simulate soil carbon at the site scale, while the widely applied machine learning (ML) based digital soil mapping (DSM) techniques cannot incorporate the carbon cycle process on the land surface. Therefore, reliable monitoring of spatio-temporal SOC storage in agricultural soils remains constrained.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;div&gt;In this study, we collected 249 paired SOC observations under different farm managements from 35 published articles conducted in the Central Jilin Province of China during 1980–2004, to evaluate SOC simulation results from the DeNitrification-DeComposition (DNDC) model. Furthermore, a total of 1947 farmland SOC data (0–20 cm) was collected in 2005, 2010, 2015, 2020, and 2024. Twenty-one environmental variables including topography, climate, soil, parent material, vegetation, and farm management, were selected as the covariates for the random forest (RF) model. Then, the DNDC-RF framework was established by integrating the annual DNDC outputs (e.g., SOC and CO&lt;sub&gt;2&lt;/sub&gt;) into the RF model, extending the site-scale simulations to the spatio-temporal dynamics of farmland SOC over the period of 2005–2024. Based on the DNDC-RF results, SOC sequestration potential was predicted under two future climate scenarios (RCP 4.5 and RCP 8.5) and diverse farm managements, spanning the period from 2025 to 2100. Four management categories were designed for these future SOC predictions, including tillage [no tillage (NT), reduced tillage (RT), and deep tillage (DT)], straw return (SR), manure fertilization (MF), and chemical fertilization (CF).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results and conclusions&lt;/h3&gt;&lt;div&gt;The DNDC-RF framework exhibited good prediction accuracies in the spatio-temporal SOC prediction, with relatively high R&lt;sup&gt;2&lt;/sup&gt; values (0.78, 0.75, 0.80, 0.85, and 0.79) and low root-mean-square error (RMSE) (1.15, 1.21, 1.09, 0.99, and 1.09 g kg&lt;sup&gt;−1&lt;/sup&gt;) for the validation dataset in 2005, 2010, 2015, 2020, and 2024, respectively. Under different managements, MF and its related practices showed the highest increasing rates of SOC under future climate scenarios from 2025 to 2100. The highest increasing rate was observed under MF + CF + SR, with 1386–4999, 640–2099, and 494–1622 kg C ha&lt;sup&gt;−1&lt;/sup&gt; yr&lt;sup&gt;−1&lt;/sup&gt; for short-term (&lt;3 y), mid-term (3–10 y), and long-term (&gt;10 y) periods, respectively.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Significance&lt;/h3&gt;&lt;div&gt;Our hybrid framework improved the spatio-temporal soil carbon mapping approach in terms of physical mechanism and spatial extension. These findings highlighted the importance of selecting optimal management strategies to enhance soil carbon ","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"219 ","pages":"Article 106754"},"PeriodicalIF":5.0,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145923267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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Applied Soil Ecology
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