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Five-year decomposition effects on nutrient stocks of woody species in Mediterranean ecosystems 地中海生态系统木本物种养分储量的五年分解效应
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2026-01-23 DOI: 10.1016/j.geodrs.2026.e01055
Giuliano Bonanomi , Anna De Marco , Giuseppina Iacomino , Mohamed Idbella
Long-term data on nutrient dynamics during woody debris (WD) decomposition in Mediterranean ecosystems are not sufficiently explored. This study aims to characterize the stocks of key nutrients (P, K, Ca, Na, and Mn) through a five-year litterbag experiment using ten types of WD, incubated in shrubland and woodland environments in Southern Italy under a Mediterranean climate. To explore relationships between nutrient dynamics and WD traits, thirty anatomical, chemical, and functional traits of undecomposed WD were assessed, including nutrient contents, cellulose and lignin contents, and organic chemical composition via 13C NMR analysis. After five years of incubation, the concentration and content of P, K, Ca, Na, and Mn in the WD were quantified. Mass loss after 5 years was higher in woodland (47.6%) than in shrubland (29.6%). Among the species, S. junceum, P. lentiscus and F. carica showed the highest mass losses while C. monspelliensis and E. arboreea recorded the lowest. Regarding nutrient dynamics, we observed net mineralization in 90 experimental cases, while nutrient immobilization occurred in only ten instances, i.e. five were for Mn, three for P, and two for Ca. Nutrient mineralization was significantly influenced by the type of WD and strongly correlated with the initial concentration of each nutrient. Different WD traits showed varying correlations with nutrient mineralization. For example, P release was negatively correlated with lignin concentration, K and Na release were positively associated with decay rates, Ca release was linked to labile C and the initial concentration of Mg, Mn, and Ca, while Mn mineralization was regulated by the availability of the carboxylic C fraction. This study provides the first long-term dataset on nutrient stocks during WD decomposition in Mediterranean ecosystems, highlighting the distinct roles of mineralization and immobilization based on nutrient type and WD traits. These findings have critical implications for modelling wood tissue decomposition processes in Mediterranean ecosystems.
地中海生态系统中木质碎屑(WD)分解过程中营养动态的长期数据尚未得到充分探索。本研究旨在通过在地中海气候下意大利南部灌木和林地环境中培养的10种WD进行为期5年的凋落物袋试验,表征关键营养物质(P、K、Ca、Na和Mn)的储量。为了探讨营养动态与木质素性状之间的关系,通过13C核磁共振分析,对未分解木质素的30个解剖、化学和功能性状进行了评估,包括营养成分含量、纤维素和木质素含量以及有机化学成分。经过5年的培养,对WD中P、K、Ca、Na、Mn的浓度和含量进行了量化。林地5年后的质量损失率(47.6%)高于灌木林地(29.6%)。其中,junceum、P. lentiscus和F. carica的质量损失最大,C. monspelliensis和E. arboreea的质量损失最小。在养分动态方面,我们观察到90个实验案例的净矿化,而只有10个实验案例发生了养分固定,即Mn 5个,P 3个,Ca 2个。养分矿化受WD类型的显著影响,与每种养分的初始浓度密切相关。不同的WD性状与养分矿化表现出不同的相关性。例如,P释放与木质素浓度呈负相关,K和Na释放与腐烂率呈正相关,Ca释放与活性C和Mg、Mn和Ca的初始浓度有关,而Mn矿化受羧基C组分的有效性调节。该研究提供了地中海生态系统WD分解过程中营养储量的第一个长期数据集,突出了基于养分类型和WD特征的矿化和固定化的不同作用。这些发现对模拟地中海生态系统中木材组织分解过程具有重要意义。
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引用次数: 0
An alternative to mitigate soil compaction and improve crop yield under no-till systems 一种在免耕制度下减轻土壤压实和提高作物产量的替代方法
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2026-01-22 DOI: 10.1016/j.geodrs.2026.e01051
Camila Jorge Bernabé Ferreira , Vívian Ribeiro de Oliveira Preto , Cassio Antonio Tormena , Marcio Renato Nunes , Guilherme Braga Pereira Braz , Eduardo da Costa Severiano , Alvaro Sanz Saez de Jauregui
Soil compaction has caused significant crop yield losses owing to deleterious changes in the soil physical quality in the root zone. Our objective was to evaluate the use of seed drills equipped with fixed shanks operating at two depths under different levels of soil compaction as an alternative to mitigate soil compaction and improve crop yield in no-till (NT) conditions. The study was conducted in Paraná, southern Brazil, on a Rhodic Ferralsol under 20 years of NT management. The treatments included (i) four levels of induced soil compaction (0, 3, 6, and 9 tractor passes) and (ii) two operating depths of the seed drill shank (shallow = 10 cm and deep = 15 cm) as a strategy to mitigate soil compaction. The treatment effects on soil physical quality were quantified through soil air permeability, bulk density, water and air storage capacity, and penetration resistance, measured within 0–10 cm and 10–20 cm soil depths. Plant responses to the treatments were quantified by measuring the stem diameter, shoot dry mass, leaf area, plant height, and light interception. We measured the number of pods per plant at harvest, root diameter and length, and the grain yield. Soil compaction caused by tractor traffic increases water retention and decreases air storage capacity in the soil. The deep-acting shank significantly improved soil physical conditions for root growth and development compared with the shallow shank (10 cm), reducing soil bulk density by approximately 20% and penetration resistance by nearly 50%. Improved soil physical conditions within deeper soil layers promoted greater root length in the first 20 cm of soil profile, ensuring greater crop resistance to extreme weather. Overall, using seed drills equipped with deep-acting shanks is an efficient alternative for mitigating topsoil compaction (up to 15 cm) and promoting plant development in NT systems.
由于根区土壤物理质量的有害变化,土壤压实造成了重大的作物产量损失。我们的目标是评估在不同土壤压实程度下,在两个深度下使用配备固定柄的播种机作为缓解土壤压实和提高免耕(NT)条件下作物产量的替代方法。这项研究是在巴西南部的帕拉纳进行的,在一个Rhodic Ferralsol上进行了20年的NT管理。处理包括(i) 4个级别的诱导土壤压实(0、3、6和9个拖拉机通道)和(ii)两个操作深度的播种机柄(浅= 10 cm和深= 15 cm)作为缓解土壤压实的策略。通过在0 ~ 10 cm和10 ~ 20 cm土壤深度测量土壤透气性、容重、储水储气能力和渗透阻力,量化处理对土壤物理质量的影响。通过测定茎粗、地上部干质量、叶面积、株高和截光量来量化植株对不同处理的响应。我们测量了收获时每株的豆荚数、根的直径和长度以及籽粒产量。拖拉机交通造成的土壤压实增加了土壤的保水能力,降低了土壤的空气储存能力。与浅柄(10 cm)相比,深柄显著改善了根系生长发育的土壤物理条件,土壤容重降低约20%,穿透阻力降低近50%。深层土壤物理条件的改善促进了土壤剖面前20厘米根系长度的增加,确保了作物对极端天气的抵抗力。总的来说,在NT系统中,使用配备深层作用柄的播种机是缓解表土压实(高达15厘米)和促进植物发育的有效替代方法。
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引用次数: 0
Pedotransfer functions for Peruvian soils: A web tool for dry bulk density estimation 秘鲁土壤的土壤传递函数:用于干体积密度估计的网络工具
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2026-01-22 DOI: 10.1016/j.geodrs.2026.e01054
Carlos Mestanza , Miguel Chicchon , Jonathan Vásquez , Alexandre ten Caten , César Beltrán
Dry bulk density measurements are crucial in soil science for calculating soil mass and absolute contents of compounds such as carbon, nutrients, or contaminants. Despite its importance, bulk density is often omitted in soil survey due to the specialized equipment and time required for direct measurement. Pedotransfer functions provide an accurately and cost-effective alternative for estimating bulk density from readily available soil data. However, these equations face two key limitations: they lack universal applicability, requiring country-specific production or recalibration to account for national soil conditions and laboratory protocols, and their implementation remains challenging for end-users (e.g., farmers and agronomists), who need simplified tools to implement functions in field settings. Here we developed dry bulk density pedotransfer functions for Peruvian soil conditions and an open-access web tool to facilitate their application. A total of 15 pedotransfer functions were developed, 4 traditional and 11 machine learning-based, the latter including 3 models based on tabular deep learning. Model performance was evaluated based on the root mean square error (RMSE), goodness of fit (R2), and training time (TT). Statistical comparisons between the model predictions were performed with the Friedman test. Our results show that eXtreme Gradient Boosting machine (RMSE = 0.2215 Mg·m−3, R2 = 0.56, TT = 0.24 s) achieve the highest predictive performance. However, Friedman test revealed no statistically differences among most models, suggesting that traditional approaches, like the multiple linear regression (RMSE = 0.2475 Mg·m−3, R2 = 0.45, TT = 0.02 s), retain practical advantages due to their simplicity and practicality. Among tabular deep learning, only the Feature Tokenizer Transformer demonstrated competitive performance (RMSE = 0.2278 Mg·m−3, R2 = 0.54, TT = 223 s), other models showed limited predictive capability, likely due to constraints imposed by our training dataset size. The pedotransfer functions web tool enables end-users to access and utilize the developed models, thereby reducing the knowledge and application gaps.
干容重测量在土壤科学中计算土壤质量和碳、营养物质或污染物等化合物的绝对含量是至关重要的。尽管容重很重要,但由于直接测量需要专门的设备和时间,因此在土壤调查中经常忽略容重。土壤传递函数为从现成的土壤数据中估计体积密度提供了一种准确和经济有效的替代方法。然而,这些公式面临两个关键的限制:它们缺乏普遍适用性,需要针对具体国家的生产或重新校准,以考虑到国家土壤条件和实验室规程;它们的实施对最终用户(例如农民和农学家)仍然具有挑战性,他们需要简化工具来执行现场设置的功能。在这里,我们开发了秘鲁土壤条件下的干体积密度土壤转移函数和一个开放访问的网络工具,以促进其应用。总共开发了15个儿童传递函数,其中4个是传统的,11个是基于机器学习的,后者包括3个基于表格深度学习的模型。基于均方根误差(RMSE)、拟合优度(R2)和训练时间(TT)对模型性能进行评估。采用Friedman检验对模型预测进行统计比较。结果表明,eXtreme Gradient Boosting机器(RMSE = 0.2215 Mg·m−3,R2 = 0.56, TT = 0.24 s)具有最高的预测性能。然而,Friedman检验显示大多数模型之间没有统计学差异,这表明传统的方法,如多元线性回归(RMSE = 0.2475 Mg·m−3,R2 = 0.45, TT = 0.02 s),由于其简单实用,保留了实际优势。在表格式深度学习中,只有Feature Tokenizer Transformer表现出有竞争力的表现(RMSE = 0.2278 Mg·m−3,R2 = 0.54, TT = 223 s),其他模型的预测能力有限,可能是由于我们的训练数据集大小的限制。pedotransfer函数网络工具使最终用户能够访问和利用开发的模型,从而减少知识和应用程序的差距。
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引用次数: 0
Long-term partial substitution of chemical fertilizers regulates soil quality and productivity of semi-arid Inceptisols under a pearl millet–wheat system 长期部分替代化肥对半干旱珠粒-小麦体系下黄壤土壤质量和生产力的调节作用
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2026-01-20 DOI: 10.1016/j.geodrs.2026.e01052
Manu Rani , V. Goyal , Pradip Dey , Mamta Phogat , Manoj Kumar , S.R. Singh , I.C. Haokip
<div><div>The long-term effect of partially substituting chemical fertilizers by organic inputs on soil quality and yield of pearl-millet and wheat under semi-arid region of Indo-Gangetic plains of India is unclear. This decadal field experiment (2009–2019) evaluated the impact of partial substitution of chemical fertilizers through organic inputs on soil carbon, microbial dynamics, soil quality and yield of pearl millet-wheat system. The experiment was laid out under randomized block design (RBD) with seven treatments and three replications in ten consecutive cropping cycles from 2009 to 2019. The seven treatments were: Ck- no chemical fertilizer, FYM-farm yard manure @15 Mg ha<sup>−1</sup>, RDF- recommended dose of N and P, STCR-I- chemical fertilizer for achieving 3.0 and 5.5 Mg ha<sup>−1</sup> targeted yield of pearl millet and wheat, respectively, STCR-II- chemical fertilizer for achieving 3.5 and 6.0 Mg ha<sup>−1</sup> targeted yield of pearl millet and wheat, respectively, IPNS-I- FYM + chemical fertilizer for achieving 3.0 and 5.5 Mg ha<sup>−1</sup> targeted yield of pearl millet and wheat, respectively and IPNS-II-FYM + chemical fertilizer for achieving 3.5 and 6.0 Mg ha<sup>−1</sup> targeted yield of pearl millet and wheat, respectively. Treatment IPNS-I and IPNS-II improved nutrient supply system, and yields of pearl millet and wheat by lowering soil pH (7.78 and 7.79), soil bulk density (1.38 Mg m<sup>3</sup>) and enhancing soil organic carbon (0.83 and 0.85%), C-stock (17.1 and 17.6 Mg C ha<sup>−1</sup>) and its buildup rate (1.71 to 1.76 Mg C ha<sup>−1</sup> yr<sup>−1</sup>). Treatments FYM, IPNS-I and IPNS-II significantly (<em>P</em> < 0.05) enhanced microbial biomass carbon, potential activities of soil enzymes, soil nutrients and soil quality over the STCR-II, STCR-I, RDF and Ck, however, microbial (M<sub>q</sub>) and metabolic quotient exhibited reverse trends. The highest SQI (0.795) was recorded with IPNS-I followed by IPNS-II (0.791), T<sub>2</sub> (0.771) and the lowest in Ck (0.341). Available P, acid phosphatase, available N and Mq were the key soil quality indicators in MDS for the pearl millet-wheat production in semi-arid zone, contributing 20.4, 21.0, 19.6 and 7.96% toward soil quality development, respectively. Treatment IPNS-I and IPNS-II not only achieved the targeted yield of pearl millet and wheat within ±10% yield deviation, but also increased pearl millet yields by 7.83 and 25.6%, and wheat yield by 10.4 and 23.9% over RDF, respectively due to improving SQI. As a result, SQI had significant correlation with grain and stover/straw yield of pearl millet and wheat indicated prominent influence of partial substitution of organic manure to inorganic fertilizers. Thus, our results evinced that long-term partial substitution of inorganic fertilizer based on targeted yield approach of soil test crop response (STCR) provides better environment for pearl millet-wheat productivity in semi-arid Inceptisol of India.</div
在印度恒河平原半干旱区,有机投入部分替代化肥对土壤质量和珍珠粟、小麦产量的长期影响尚不清楚。本年代际田间试验(2009-2019)评估了有机投入部分替代化肥对珍珠粟-小麦系统土壤碳、微生物动态、土壤质量和产量的影响。试验于2009 - 2019年采用随机区组设计(RBD), 7个处理,3个重复,连续10个种植周期。这七种治疗方法是:Ck-无化肥,FYM-农场厩肥@15 Mg ha - 1, RDF- N和P推荐用量,STCR-I-珍珠谷子和小麦目标产量分别达到3.0和5.5 Mg ha - 1的化肥,STCR-II-珍珠谷子和小麦目标产量分别达到3.5和6.0 Mg ha - 1的化肥,IPNS-I- FYM +珍珠谷子和小麦目标产量分别达到3.0和5.5 Mg ha - 1的化肥,IPNS-II-FYM +化肥分别可实现珍珠粟和小麦3.5和6.0 Mg ha−1的目标产量。IPNS-I和IPNS-II处理通过降低土壤pH值(7.78和7.79)、土壤容重(1.38 Mg m3)、提高土壤有机碳(0.83和0.85%)、碳储量(17.1和17.6 Mg C ha−1)及其积累速率(1.71 ~ 1.76 Mg C ha−1年−1),改善了珍珠粟和小麦的养分供应系统和产量。与STCR-II、STCR-I、RDF和Ck处理相比,FYM、IPNS-I和IPNS-II处理显著(P < 0.05)提高了土壤微生物生物量碳、土壤酶活性、土壤养分和土壤质量,但微生物(Mq)和代谢商呈相反趋势。IPNS-I组SQI最高(0.795),其次为IPNS-II组(0.791),T2组(0.771),Ck组最低(0.341)。有效磷、酸性磷酸酶、有效氮和Mq是半干旱区珍珠小麦生产MDS中土壤质量的关键指标,对土壤质量发展的贡献率分别为20.4%、21.0、19.6%和7.96%。IPNS-I和IPNS-II处理不仅实现了珍珠粟和小麦在±10%产量偏差内的目标产量,而且由于SQI的改善,珍珠粟产量和小麦产量分别比RDF提高了7.83%和25.6%,小麦产量分别提高了10.4%和23.9%。结果表明,SQI与珍珠粟和小麦的籽粒及秸秆产量呈极显著相关,表明有机肥部分替代无机肥对SQI的影响显著。因此,本研究结果表明,在印度半干旱地区,基于土壤试验作物响应目标产量法(STCR)的长期部分替代无机肥料为珍珠粟-小麦生产提供了更好的环境。
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引用次数: 0
Soil multifunctionality and changes in the microbiome community following the transition from forest to agriculture in southern Spain 西班牙南部从森林向农业过渡后土壤多功能性和微生物群落的变化
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2026-01-19 DOI: 10.1016/j.geodrs.2026.e01050
Ricardo Andrés Oviedo Celis , Maria Patiño , Felipe Bastida , Cristhian Hernández Gamboa , José Antonio Pascual , Margarita Ros
The conversion of forests to cropland, driven primarily by agricultural expansion, can significantly alter ecosystem services and soil multifunctionality. In this study, we examined the effects of forest-to-cropland conversion in two semi-arid areas of Spain on soil chemical properties, microbial activity, and community structure. Sampling sites included perennial crops in soil A and annual crops in soil B, compared to Aleppo pine (Pinus halepensis) forests in both locations (PS and PC). Forest-to-cropland conversion and land use type influenced soil properties, microbial activity, and carbon and nitrogen cycles. We also observed significant differences (P < 0.05) in nutrient content for the two agricultural systems compared to the PS and PC forest soils. The annual crop showed a 61% decrease in total organic carbon, which reduced enzymatic activity compared to the forest soil (PS), where the implementation of perennial crops resulted in up to four times higher levels of nutrients such as phosphorus (P). The multifunctionality of the forest (PS) in soil B showed higher values than those of the cultivated lands, while in soil A, the forest (PS) only showed greater microbial activity. According to our study, the conversion of forests to perennial crops can promote soil management in semi-arid regions. These findings highlight the importance of implementing appropriate soil management strategies after the conversion of forest lands to agricultural use, prioritizing systems that maximize overall ecosystem functioning.
主要由农业扩张驱动的森林向农田的转变可以显著改变生态系统服务和土壤的多功能性。在这项研究中,我们研究了西班牙两个半干旱区林改田对土壤化学性质、微生物活性和群落结构的影响。取样地点包括土壤A中的多年生作物和土壤B中的一年生作物,并与两个地点(PS和PC)的阿勒颇松林(Pinus halepensis)进行比较。林改田和土地利用类型影响土壤性质、微生物活动和碳氮循环。我们还观察到,与PS和PC森林土壤相比,两种农业系统的养分含量存在显著差异(P < 0.05)。与森林土壤(PS)相比,一年生作物的总有机碳减少了61%,这降低了酶活性,在森林土壤中,多年生作物的种植导致磷(P)等养分水平提高了四倍。土壤B中森林(PS)的多功能性高于耕地,而土壤A中森林(PS)仅表现出更强的微生物活性。研究表明,在半干旱区,退耕还林可促进土壤管理。这些发现强调了在林地转为农业利用后实施适当土壤管理战略的重要性,优先考虑使整体生态系统功能最大化的系统。
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引用次数: 0
Developing a pedotransfer function for the prediction of nitrogen mineralization in the agricultural soils of Quebec 建立用于预测魁北克农业土壤氮矿化的土壤传递函数
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-12-25 DOI: 10.1016/j.geodrs.2025.e01048
Chedzer-Clark Clement , R. Deragon , B. Heung , J. Dessureault-Rompré , M.O. Gasser , J.-B. Mathieu , D.L. Burton
Effective nitrogen (N) management is crucial for maximizing crop yields while minimizing environmental impacts. In the agricultural systems of Quebec, soil organic matter mineralization supplies a significant portion of crop N demand, but direct quantification is challenging and costly. This study utilized zero-N trial data to evaluate a two-pool zero-plus first-order kinetic model for predicting growing season N mineralization (GSNM) based on total N (TN) and potentially mineralizable N (PMN). Additionally, machine learning-based pedotransfer functions (PTFs) were developed to predict TN, PMN, and GSNM from easily measurable soil properties using a large soil health dataset (n = 3117). The kinetic model showed strong agreement between predicted and observed soil N supply, especially with the inclusion of deeper soil layers and early-season mineralization estimates. Recursive feature elimination identified total carbon (TC) and clay as the best predictors for TN, yielding a Lin's concordance correlation coefficient (CCC) of 0.93 and a coefficient of determination (R2) of 0.86, while soil respiration (SR) and pH best predicted PMN (CCC = 0.89, R2 = 0.80). For GSNM, SR, TC, and pH were the top predictors (CCC = 0.91, R2 = 0.83). The developed PTFs provide a practical framework for estimating soil N-pools where direct data is unavailable, ultimately improving site-specific N management decisions. These tools support more efficient fertilizer use and minimize environmental losses. Future research should focus on integrating soil management practices into the development of PTFs and considering spatial and landscape variability through digital soil mapping.
有效的氮素管理对于最大限度地提高作物产量,同时尽量减少对环境的影响至关重要。在魁北克的农业系统中,土壤有机质矿化提供了作物氮需求的很大一部分,但直接量化是具有挑战性和昂贵的。本研究利用零氮试验数据,对基于总氮(TN)和潜在矿化氮(PMN)的两池零+一级动力学模型进行了评价。此外,利用大型土壤健康数据集(n = 3117),开发了基于机器学习的土壤传递函数(ptf),从易于测量的土壤特性中预测TN、PMN和GSNM。动力学模型在预测和观测土壤氮供应之间显示出很强的一致性,特别是包含较深土层和早期矿化估计。递归特征消去识别出总碳(TC)和粘土是TN的最佳预测因子,Lin’s一致性相关系数(CCC)为0.93,决定系数(R2)为0.86,而土壤呼吸(SR)和pH最能预测PMN (CCC = 0.89, R2 = 0.80)。对于GSNM, SR、TC和pH是最重要的预测因子(CCC = 0.91, R2 = 0.83)。开发的ptf为估算无法获得直接数据的土壤氮库提供了一个实用框架,最终改善了特定地点的氮管理决策。这些工具支持更有效地使用肥料,并最大限度地减少环境损失。未来的研究应侧重于将土壤管理实践纳入ptf的开发,并通过数字土壤制图考虑空间和景观的变异性。
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引用次数: 0
Influence of parent materials, landforms and climate on the soil properties distribution in northern and central Malawi 母质、地貌和气候对马拉维北部和中部土壤性质分布的影响
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-12-25 DOI: 10.1016/j.geodrs.2025.e01047
Cornelius Mgobola Chisambi , Hitoshi Shinjo
Parent material, landform, and climate strongly influence soil properties, yet their combined effects remain underexplored in Malawi. This study analysed B horizon samples from 41 soil profiles developed on diverse parent materials, landforms (rift valley floor, escarpments, mid- and high-altitude plateaus), and climatic zones across northern and central Malawi. Total elemental composition was used to infer parent material origin and weathering intensity, while effective precipitation (EP; precipitation minus potential evapotranspiration) ranged from −362 to 954 mm. Based on total elemental composition, soils were grouped into four categories: silica-rich (356.0 g kg−1 Si), iron-rich (92.4 g kg−1 Fe), intermediate (297.1 g kg−1 Si, 55.0 g kg−1 Fe), and CaMgK enriched (7.0, 4.6, and 20.0 g kg−1, respectively). Silica-rich soils exhibited high sand, Al3+, kaolinite, and quartz contents but low pH, total exchangeable bases (TEB), cation exchange capacity (CEC), total reserve bases (TRB), and mica—reflecting felsic parent materials and advanced weathering. These soils, mainly from stable mid-plateaus, were classified as Lixisols, with few Acrisols and Arenosols from the rift valley floor. Iron-rich soils, predominantly from escarpments, had high clay, pH, TEB, CEC (soil and clay), TRB, and mica, indicating not advanced weathering and the presence of weatherable primary minerals. These were mostly Luvisols, Cambisols, and Alisols. Intermediate soils from mid- and high-altitude plateaus showed transitional properties; those from mid-altitude plateau developed into Luvisols and Lixisols, while those from high plateaus under higher EP formed Acrisols. CaMgK enriched soils, common in unstable rift valley and escarpment zones, had the highest pH, TEB, CEC, TRB, and mica but low kaolinite, indicating limited weathering linked to erosion–deposition processes. These were mainly Luvisols, Cambisols, and Vertisols. Increasing EP corresponded with declining pH, TEB, and base saturation, and rising Al3+, reflecting leaching and Acrisol formation under wetter and in stable conditions. Overall, parent material, landform, and climate collectively shaped soil properties and classification, with iron-rich soils appearing less weathered than expected, likely due to ongoing tectonic rejuvenation within the Malawi Rift Valley.
母质、地形和气候强烈影响土壤性质,但它们的综合影响在马拉维仍未得到充分探索。这项研究分析了来自41个不同母质、地形(裂谷底、悬崖、中、高海拔高原)和马拉维北部和中部气候带的土壤剖面的B层样品。总元素组成用于推断母质来源和风化强度,而有效降水(EP;降水减去潜在蒸散)范围为- 362至954 mm。根据总元素组成,将土壤分为4类:富硅(356.0 g kg - 1 Si)、富铁(92.4 g kg - 1 Fe)、中等(297.1 g kg - 1 Si、55.0 g kg - 1 Fe)和富CaMgK(分别为7.0、4.6和20.0 g kg - 1)。富硅土壤表现为砂、Al3+、高岭石和石英含量高,但pH、总交换碱(TEB)、阳离子交换容量(CEC)、总储备碱(TRB)、云母反射长英质母质和超前风化。这些土壤主要来自稳定的中高原,被归类为利沙土,裂谷底部的阿克里沙土和阿瑞诺沙土较少。富铁土壤主要来自悬崖峭壁,具有较高的粘土、pH值、TEB、CEC(土壤和粘土)、TRB和云母,表明风化程度不高,存在可风化的原生矿物。这些主要是露维索,cambisol和alisol。中、高海拔高原中间土壤表现出过渡性;来自中海拔高原的植物发育为luvisol和lixisol,而来自高海拔高原的植物在高EP条件下发育为acrisol。CaMgK富集土壤在不稳定裂谷和悬崖带中较为常见,其pH值、TEB、CEC、TRB和云母含量最高,但高岭石含量较低,表明侵蚀-沉积过程中风化作用有限。这些主要是露色剂,cambisol和verisol。EP的增加与pH、TEB和碱饱和度的下降和Al3+的上升相对应,反映了湿润和稳定条件下的淋溶和Acrisol的形成。总的来说,母质、地形和气候共同塑造了土壤的性质和分类,富铁土壤的风化程度比预期的要低,这可能是由于马拉维裂谷内部正在进行的构造复兴。
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引用次数: 0
Effects of rock fragments on water infiltration and physical properties of volcanic soils in southern Brazil 岩石碎块对巴西南部火山土水分入渗及物理性质的影响
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-12-23 DOI: 10.1016/j.geodrs.2025.e01045
Geane Alves de Moura , Fabrício de Araújo Pedron , Paulo Ivonir Gubiani , Ricardo Simão Diniz Dalmolin , Jean Michel Moura-Bueno , Luis Eduardo Akiyoshi Sanches Suzuki , Noeme da Costa Santos , Raí Ferreira Batista , Issa Buana Alfane , Luís Felipe Rech , Victor Hugo Carvalho Sabóia , Bruna Trevizan Paese , Agnes Estela Fontana
The presence of rock fragments (RF) is a common feature in agricultural areas with sloping terrain and poorly developed soils, potentially modifying soil physical attributes and water dynamics. We investigated the relationships among RF content, water infiltration, bulk density, and porosity in volcanic agricultural soils of southern Brazil, using 123 sampling points distributed across different soil classes, RF contents, and slope gradients. Infiltration data showed high variability: cumulative infiltration (I) ranged from 3 to 2275 mm, while the steady-state infiltration rate (i) ranged from 2 to 957 mm h−1, both with large standard deviations. No significant differences in i or I were observed among slope classes. We found greater cumulative infiltration, lower bulk density, and higher fine-earth porosity in poorly developed soils (Leptosols and Regosols) with higher RF content. However, RF content did not significantly influence water infiltration in the evaluated soils. Bulk density and total porosity remained relatively stable despite variations in RF content. Infiltration in these stony agricultural soils exhibited high variability and low correlations with morphological and physical properties, indicating a complex multivariate behavior not easily captured by routine analyses.
岩石碎片(RF)的存在是坡地和土壤发育不良的农业区的一个共同特征,可能会改变土壤的物理属性和水动力学。利用分布在不同土壤类别、不同RF含量和不同坡度的123个采样点,研究了巴西南部火山农业土壤中RF含量、水分入渗、体积密度和孔隙度之间的关系。入渗数据表现出高变异性:累积入渗(I)范围为3 ~ 2275 mm,而稳态入渗速率(I)范围为2 ~ 957 mm h−1,两者均具有较大的标准偏差。坡类间i和i无显著差异。我们发现,RF含量较高的欠发达土壤(细粒土和细粒土)的累积入渗量较大,容重较低,细土孔隙度较高。RF含量对土壤水分入渗影响不显著。尽管RF含量变化,堆积密度和总孔隙率保持相对稳定。这些石质农业土壤的渗透表现出高变异性,与形态和物理性质的相关性较低,表明常规分析不容易捕捉到复杂的多元行为。
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引用次数: 0
Soil color serves as a key pedogenic indicator in the Godavari Basin, India 在印度哥达瓦里盆地,土壤颜色是一个重要的成土指标
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-12-22 DOI: 10.1016/j.geodrs.2025.e01046
Gizachew Ayalew Tiruneh , Bhaskara Phaneendra , Ciro Abbud Righi
The Godavari River basin, a major rice —producing region, requires an accurate understanding of soil drainage to enhance crop productivity. Soil color-evaluated using the Munsell chart and converted to the CIE Lab system, acts as a reliable indicator of soil moisture, texture, and drainage. In this system, L* denotes lightness, a* redness, and b* yellowness. A drainage index was derived using Mahalanobis distance based on these color parameters. A total of forty-two soil profiles were opened from three landforms—fluvial, fluviomarine, and marine—using a 1:250,000-scale soil resource inventory. Fluvial soils exhibited clay to silty clay textures with Ap horizons (0–18 cm) and Bg horizons extending beyond 100 cm, indicating sustained alluvial deposition. Fluviomarine soils displayed stratified silty clay to silty clay loam and sand layers with subsoil effervescence, indicating carbonate accumulation under combined fluvial and marine influence. In contrast, marine soils showed lighter silt loam to sandy textures, reflecting slower pedogenesis. CIE Lab analysis showed marine soils are lighter (L* = 50.65) with higher b* values (23.76), while fluvial soils are darker (L* = 33.88) and more reddish-yellow (b* = 12.32). Fluviomarine soils exhibited the highest color variability, reflecting heterogeneous sediment mixing and fluctuating redox conditions. Drainage assessments showed moderate to poor subsoil drainage in fluvial and fluviomarine soils, which influenced root growth, water retention, and soil color. These results demonstrated strong relationships between soil color, texture, and drainage, emphasizing the need for site-specific management to optimize irrigation, fertility, and pedogenesis in the Godavari rice landscapes.
戈达瓦里河流域是一个主要的水稻产区,需要对土壤排水有准确的了解,以提高作物产量。土壤颜色评估使用蒙塞尔图表和转换到CIE实验室系统,作为土壤湿度,质地和排水的可靠指标。在这个系统中,L*表示亮度,a*表示红色,b*表示黄色。基于这些颜色参数,利用马氏距离推导出排水指数。利用1:25万比例尺的土壤资源清查,从河流、河流海洋和海洋三种地形中共打开了42个土壤剖面。河流土壤表现为粘土-粉质粘土结构,Ap层(0 ~ 18 cm)和Bg层延伸至100 cm以上,表明持续的冲积沉积。河流海洋土壤表现为粉质粘土-粉质粘土壤土和砂层的分层,并伴有底土泡腾,表明在河流和海洋共同作用下碳酸盐聚集。相比之下,海洋土壤表现出较轻的粉砂质到砂质质地,反映了较慢的成土作用。CIE Lab分析表明,海洋土壤颜色较浅(L* = 50.65), b*值较高(23.76);河流土壤颜色较深(L* = 33.88),偏红黄色(b* = 12.32)。河流海洋土壤表现出最高的颜色变异性,反映了不均匀的沉积物混合和波动的氧化还原条件。排水评估显示,河流和河流海洋土壤的底土排水中等至较差,这影响了根系生长、保水和土壤颜色。这些结果表明了土壤颜色、质地和排水之间的密切关系,强调了在Godavari水稻景观中,需要针对特定地点进行管理,以优化灌溉、肥力和土壤形成。
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引用次数: 0
Soil formation conditions, processes and classification on the Baltic Sea coast of Latvia 拉脱维亚波罗的海沿岸的土壤形成条件、过程和分类
IF 3.3 2区 农林科学 Q2 SOIL SCIENCE Pub Date : 2025-12-15 DOI: 10.1016/j.geodrs.2025.e01044
Baiba Dirnēna , Oļģerts Nikodemus , Karīna Bagāta , Guntis Brūmelis , Raimonds Kasparinskis , Māris Krievāns , Imants Kukuļs
This study investigates the complex and dynamic soil formation processes on the Baltic Sea coast, where the parent material consists of sandy sediments derived from the Baltic Ice Lake. It focuses on morphological and physicochemical transformations driven by recurrent disturbances, including forest fires, wind erosion, potential slash-and-burn agriculture, marine aerosol deposition, and the aeolian transport of beach sand into the forest ecosystem. Pedogenesis initially progressed through podzolization but was subsequently replaced by alkalinization and depodzolization, as indicated by an increase in soil pH and a relatively low Fed/Fet ratio in the B horizon. This suggested a relatively short podzolization phase, which was further reinforced by the neutralisation of soil acidity and the low organic matter content in the upper horizons. Eolian activity caused the erosion, transport and subsequent burial of the initial soil, preserving morphological characteristics typical of a podzol. However, the chemical properties of the B horizon did not fulfil the criteria for a spodic horizon. Mean pH values in the upper horizons were 7.3 (H2O) and 6.0 (BaCl2), whereas pH in the B horizon consistently exceeded 5.9. Elevated concentrations of Ca, Mg and K in the upper soil horizons, along with higher pH, indicated a strong marine aerosol influence. According to WRB 2022, the soils are classified as Eutric Brunic Aeolic Arenosols (Amphiclaric, Novic, Ochric) or Eutric Brunic Aeolic Arenosols (Epiclaric, Novic, Ochric). These findings enhance our understanding of coastal soil pedogenesis, clarify the impact of various disturbances in soil development and highlight the classification challenges posed by coastal aeolian environment.
本研究探讨了波罗的海沿岸复杂而动态的土壤形成过程,其中母质由来自波罗的海冰湖的沙质沉积物组成。它侧重于由周期性干扰驱动的形态和物理化学转变,包括森林火灾、风蚀、潜在的刀耕火种农业、海洋气溶胶沉积以及海滩沙子进入森林生态系统的风成运输。土壤成土作用最初通过灰化化进行,但随后被碱化和去灰化所取代,这表明土壤pH值增加,B层的Fed/Fet比值相对较低。这表明灰化期相对较短,土壤酸度中和和上层有机质含量低进一步加强了灰化期。风成活动引起了最初土壤的侵蚀、搬运和随后的掩埋,保留了灰土的典型形态特征。然而,B视界的化学性质并不符合视界的标准。上层的平均pH值为7.3 (H2O)和6.0 (BaCl2),而B层的pH值一直超过5.9。上层土壤中Ca、Mg和K浓度的升高,以及pH值的升高,表明海洋气溶胶的影响很强。根据WRB 2022,土壤被分类为中性布吕尼风成砂(amphilaric, Novic, ochrc)或中性布吕尼风成砂(Epiclaric, Novic, ochrc)。这些发现增加了我们对海岸土壤成土作用的认识,阐明了各种干扰对土壤发育的影响,并强调了海岸风成环境对分类的挑战。
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引用次数: 0
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Geoderma Regional
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