Geoderma最新文献

{"title":"Response of soil health indicators to tillage is associated with soil mineralogy in maize-based agroecosystems across the U.S","authors":"Rosa E. Lopez,&nbsp;Jordon Wade,&nbsp;Matthew H.H. Fischel,&nbsp;Michel A. Cavigelli,&nbsp;Jude E. Maul,&nbsp;Hanna Poffenbarger,&nbsp;Andrea Jilling,&nbsp;Steve Culman,&nbsp;María B. Villamil,&nbsp;Ezra Aberle,&nbsp;Morgan P. Davis,&nbsp;Andrew J. Margenot","doi":"10.1016/j.geoderma.2026.118073","DOIUrl":"10.1016/j.geoderma.2026.118073","url":null,"abstract":"<div><div>The sensitivity of soil health indicators to tillage can be strongly influenced by agroecosystem context, leading to inconsistent responses of soil health indicators to tillage practices across sites. Using long-term maize-based tillage experiments encompassing a gradient of soil mineralogy across six U.S. states, we quantified differences in soil organic carbon (SOC) and additional soil health indicators of microbial biomass C (MBC) and N (MBN), mineralizable C (C_min), permanganate-oxidizable “carbon” (POXC), autoclave-extractable “protein” (ACE protein) and the activities of β-glucosidase (BG), <em>N</em>-acetyl-β-D-glucosaminidase (NAG), protease (PRO), phosphomonoesterase (PME) and arylsulfatase (SUL) between no-tillage and conventional (chisel or moldboard) tillage. To explain differences in soil health indicator sensitivity to tillage, we assessed (1) associations between SOC and soil health indicator inter- and intra-site responses to tillage, and (2) associations between mineralogy and soil health indicator responses to tillage on a soil versus SOC basis. The responses of soil health indicators to tillage were generally lower in magnitude when expressed on a SOC basis relative to a soil mass basis. However, indicator responses to tillage increased concomitantly with SOC response (1:1) across sites, except for (i) NAG activity, which was twice as sensitive to tillage as SOC (2:1), and (ii) POXC, which was half as sensitive to tillage as SOC (1:2). Within sites, the responses of soil health indicators to tillage were generally unaffected by SOC response. Metrics of reactive Fe and Al phases were generally the strongest predictors of SOC and soil health indicator responses to tillage, likely due to enhanced organomineral associations by these phases relative to other minerals. Our findings indicate that soil mineralogy can be used to further interpret the context dependency of the effects of tillage practices and potentially additional management practices on soil health and SOC.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118073"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"porositAI: An open-source, interactive tool for rapid and reproducible quantification of pore space in soil thin sections","authors":"Cedric J. Hagen,&nbsp;Axel Cerón González,&nbsp;Lilit Pogosyan,&nbsp;Tyler D. Karns,&nbsp;Henry W. Loescher,&nbsp;Michael D. SanClements","doi":"10.1016/j.geoderma.2026.118064","DOIUrl":"10.1016/j.geoderma.2026.118064","url":null,"abstract":"<div><div>Accurate quantification of pore space from soil thin-section imagery is central to understanding soil structure, soil formation, and associated ecosystem functions, yet remains limited by challenges in segmentation robustness, reproducibility, and user effort. Here, we present <em>porositAI</em>, a free and open-source, interactive image analysis tool designed for rapid and reproducible quantification of pore space using user-guided, sample-specific machine learning. The workflow combines sparse pixel labeling (∼15–25 clicks/labels) with on-the-fly random forest classification to generate pore masks, estimate areal porosity, and extract pore-scale metrics, with optional uncertainty visualization and refinement. We evaluated porositAI using a validation dataset of 167 soil thin-section images, for which porosity was independently estimated by two experts and by an automated thresholding approach. porositAI showed strong agreement with expert-derived porosity (<em>r</em> = 0.89), with low mean absolute error (MAE; 2.4%) and small but statistically significant bias (−1.2%). Notably, porositAI’s error was comparable to the deviation of an individual expert, from the two-expert mean (2.4% vs. 2.8%; inter-expert difference ∼5.6%), indicating performance at the level of a single human analyst and within the inherent uncertainty of manual interpretation. In contrast, the threshold-based method exhibited large error (MAE = 18.9%), strong positive bias (∼18.8%), and weaker correlation with expert estimates. All findings were obtained using single-modality plane-polarized light imagery, suggesting that performance represents a conservative baseline. Because porositAI is designed to integrate multiple co-registered imaging modalities, accuracy may improve when additional information is available. By reducing user effort while improving accuracy and reproducibility, porositAI provides a practical and scalable framework for quantitative soil micromorphology and supports more consistent reporting of pore-space metrics across studies.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118064"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149050059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vertical carbon and biochar transport in a sandy soil lysimeter experiment","authors":"Arthur Gross,&nbsp;Jens Kruse,&nbsp;Nina Siebers,&nbsp;Bruno Glaser,&nbsp;Snežana Maletić,&nbsp;Marijana Kragulj Isakovski,&nbsp;Slaven Tenodi,&nbsp;Lutz Weihermüller","doi":"10.1016/j.geoderma.2026.118074","DOIUrl":"10.1016/j.geoderma.2026.118074","url":null,"abstract":"<div><div>Sandy soils are characterized by high water infiltration, low water and nutrient retention, and low soil organic matter (SOM). Organic soil amendments (OSA) can improve hydraulic properties and SOM levels, making them suitable for sustainable agricultural use. Additionally, biochar amendments sequester atmospheric carbon dioxide and interact with SOM, potentially enhancing its stability. This study analyzed carbon dynamics in a sandy soil following the addition of OSA, including dredged sediment (20 %) and compost (5 %), mixed with and without biochar (1 %). For this purpose, a lysimeter experiment was setup in Novi Sad, Serbia, and conducted for 441 days. Total organic carbon (TOC) stocks in the lysimeters were measured after the experiment and compared with the amounts of TOC added at the beginning. Drained water amounts were collected throughout the experiment and analyzed for truly dissolved organic carbon (DOC) and particulate organic carbon (POC) in the first six months. Black carbon was used to specifically analyze biochar in 5 cm increments of the lysimeter columns at the end of the experiment. This molecular marker revealed no significant vertical biochar transport but accumulation trends in intermediate lysimeter levels. The addition of compost exhibited the highest relative TOC loss with 24.5 %, although differences were not statistically significant. DOC leaching with increased by 0.17 % (p &lt; 0.05) if compost was added purely. Mixing compost with biochar did not affect the TOC loss but significantly reduced DOC leaching. Sediment additions led to the highest relative POC loss with 0.023 % but were significantly mitigated (p &lt; 0.05) by co-additions of biochar. Combining both OSA with biochar was associated with lower DOC and POC leaching than adding sediment and compost alone, while the relative TOC loss was not significantly affected. These findings suggest that biochar influences the partitioning and leaching of organic carbon in coarse-textured soil agroecosystems.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118074"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149085411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Field experiment reveals varied earthworm densities boost soil organic carbon more than they increase carbon dioxide emissions” [Geoderma 456 (2025) 6–7/117251]","authors":"Yufeng Qiu,Ronggui Tang,Yihong Liu,Youchao Chen,Yuye Shen,Shoujia Zhuo,Yanjiang Cai,Scott X. Chang","doi":"10.1016/j.geoderma.2026.118093","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.118093","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"15 1","pages":"118093"},"PeriodicalIF":6.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149209001","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}

{"title":"Spatial patterns and drivers of permafrost peatlands on the Qinghai-Tibet Plateau","authors":"Yunxia Dong,&nbsp;Jinyue Song,&nbsp;Yunjie Jia,&nbsp;Shijie Li,&nbsp;Jianyu Li,&nbsp;Shenchao Zhu,&nbsp;Mei Mu,&nbsp;Chunling Zhang,&nbsp;Xiangyi Li,&nbsp;Yongqi Ge,&nbsp;Xinlong Du,&nbsp;Yuguo Wei,&nbsp;Xiaoqing Peng,&nbsp;Xiaodong Wu,&nbsp;Cuicui Mu","doi":"10.1016/j.geoderma.2026.118076","DOIUrl":"10.1016/j.geoderma.2026.118076","url":null,"abstract":"<div><div>Under climate warming, permafrost thaw increasingly destabilizes alpine peatlands, which sustain vital carbon sequestration and hydrological regulation services. However, the explicit spatial distribution of alpine peatlands, especially high-altitude permafrost peatlands, remains poorly understood. Here, we conducted field surveys along a 1,900 km transect across the Qinghai-Tibet Plateau (QTP) and compiled a dataset comprising 863 field-observed peatland sites and unmanned aerial vehicle image interpretations. By integrating Sentinel-1 synthetic aperture radar data, Sentinel-2 optical imagery and topographic variables within machine learning models, we produced a 30 m-resolution alpine peatland distribution map covering seasonally frozen ground and permafrost regions. Our model achieves an overall accuracy of 93 %, representing accuracy improvements of 8 % and 41 % relative to the Global Peatland Map and PEATMAP products, respectively. We estimate the total QTP peatland area reaches approximately 5.2 × 10⁴ km², with 68.7 % distributed in seasonally frozen ground and 31.3 % in permafrost regions. The relative predictive importance of environmental variables differed between the two frozen-ground regions. Permafrost peatlands were primarily associated with topography and permafrost conditions, whereas peatlands under seasonally frozen ground were mainly linked to topographic features. Our findings refine the delineation of fragmented alpine peatlands and provide a scientific basis for assessing future peatland dynamics, carbon cycling and ecosystem functions.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118076"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From sink to source: long-term soil carbon trends in cropland soils under high organic matter inputs","authors":"David I. Schubert,&nbsp;René Dechow,&nbsp;Christopher Just,&nbsp;Michael Diepolder,&nbsp;Axel Don,&nbsp;Ingrid Kögel-Knabner,&nbsp;Florian Ebertseder,&nbsp;Martin Wiesmeier","doi":"10.1016/j.geoderma.2026.118075","DOIUrl":"10.1016/j.geoderma.2026.118075","url":null,"abstract":"<div><div>SOC in European croplands has declined over recent decades, affecting CO₂ emissions and soil functioning. A more detailed understanding of the relative contribution of agricultural management and climate change in these losses is lacking.</div><div>We analyzed SOC dynamics over 29 years (1994–2023) in a long-term field experiment in Puch, Germany, comparing organic amendments (green manure, three compost types) combined with different mineral N fertilization levels. We further examine how recent climate change may have influenced SOC trajectories during the experimental period.</div><div>Organic amendments significantly increased SOC content, with fine sized compost achieving the highest levels, 33% above the non-amended control, which showed the lowest SOC. High mineral N fertilization also significantly enhanced SOC content by 7–9%, though its effect (η² = 9.7%) remained smaller than that of organic amendments (η² = 68.3%), despite substantially increasing crop yield and associated crop residue C input.</div><div>SOC content increased until 2012 but substantially declined in all treatments thereafter despite high C inputs from organic amendments and rising C inputs from crop residues. This decline coincided with rising temperatures and more frequent droughts at the site. RothC model configurations that explicitly accounted for climatic controls best reproduced observed SOC trajectories, suggesting that climate-related effects may have contributed to the observed SOC decline.</div><div>Although compost application mitigated SOC decline on croplands, additional measures are required to fully prevent climate-induced losses. The long–term effectiveness of organic amendments depends on amendment properties and climatic conditions. This pattern raises questions about SOC accumulation under combined influences of organic matter inputs and climatic warming.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118075"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149150546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global potential and synergistic benefits of soil amendments for saline-alkali soil amelioration, soil carbon sequestration, and plant productivity: A meta-analysis","authors":"Yang Ruizhe,&nbsp;Tao Jianguo,&nbsp;Duan Qianyuan,&nbsp;Zhou Hongwu,&nbsp;Tang Lichao,&nbsp;Xu Lingying,&nbsp;Luo Yue,&nbsp;Chen Zicheng,&nbsp;Liu Ji,&nbsp;Xia Longlong,&nbsp;Li Yüze,&nbsp;Zou Xinqing,&nbsp;Josep Peñuelase","doi":"10.1016/j.geoderma.2026.118072","DOIUrl":"10.1016/j.geoderma.2026.118072","url":null,"abstract":"<div><div>Saline-alkali land is a critical arable land reserve, but severe soil salinity-alkalinity threatens ecosystem health and agricultural production security. Organic amendment (OA), inorganic amendment (IA), and organic-inorganic composite amendment (OIA) have been widely used for saline-alkali land rehabilitation, but their effectiveness and synergistic effects in alleviating soil salinity-alkalinity, increasing soil organic carbon (SOC) and plant productivity remain debated. To address these knowledge gaps, based on 3763 observations from 215 studies, we combined a global meta-analysis with machine learning-based spatial prediction models to quantify the effects of OA, IA, and OIA on soil electrical conductivity (EC), pH, SOC content, plant productivity and their comprehensive improvement benefits (CIBs), identify their key drivers, compare the rehabilitation performance of different soil amendments under key environmental factors and future climate scenarios, and map the global distribution of optimal rehabilitation strategies for saline-alkali land. The results showed the OA, IA, and OIA were all effective rehabilitation measures, significantly reducing soil EC and pH and increasing SOC content and plant productivity, with CIBs of 34.7%, 27.5%, and 31.2%, respectively. The effectiveness of soil amendments was driven by initial soil factors, especially soil salinity-alkalinity, C:N ratio, and soil texture. Among soil amendments, OIA was better suited to rehabilitating severely salinized soils. OA and OIA were more favorable for SOC sequestration in high initial C:N ratio soils and had greater synergistic effects for SOC sequestration and plant productivity in sandy and clayey soils, while reducing dependence on irrigation and mineral N inputs. IA showed no advantage over OA or OIA across major initial soil factors, with its rehabilitation benefits requiring irrigation and higher N input rates. Global spatial predictions showed that OA and OIA had broader applicability, and their CIBs remained higher and more stable than those of IA under future climate scenarios. These results highlight the need to prioritize soil amendments involving organic inputs (OA or OIA) in rehabilitation strategies to synergistically achieve soil amelioration, soil carbon sink enhancement, and food security.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118072"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149085349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term effects of soil and water conservation practices on soil fertility and crop productivity in the Ethiopian Highlands","authors":"Eyasu Elias,&nbsp;Weldemariam Seifu,&nbsp;Abreham Berta Aneseyee,&nbsp;Annissa Muhammed,&nbsp;Abrham Seyoum","doi":"10.1016/j.geoderma.2026.118059","DOIUrl":"10.1016/j.geoderma.2026.118059","url":null,"abstract":"<div><div>Land degradation and declining soil fertility remain major constraints to agricultural productivity in the Ethiopian Highlands. Yet, evidence on the long-term effectiveness of soil and water conservation (SWC) interventions across contrasting farming systems remains limited. This study integrated two decades of land restoration records, multi-temporal NDVI data (2003–2024), and field measurements from 56 watersheds to assess the long-term effects of SWC interventions on soil properties, vegetation recovery, and crop productivity across four major farming systems in the Ethiopian Highlands. A paired watershed matched-control design compared SWC-treated and adjacent untreated watersheds using 672 composite soil samples. Results show that land restoration interventions significantly improved soil quality − increasing soil moisture content from 16.65% to 20.92%, soil organic carbon from 1.71% to 3.08%, total nitrogen from 0.13% to 0.27%, and cation exchange capacity from 11.83 to 33.51 cmol(+) kg⁻¹, while reducing bulk density from 1.26 to 1.17 g cm⁻³. Average grain yields increased by approximately 56% for maize and 50% for wheat, with soil bunds producing the strongest maize response and fanya juu terraces generating the largest wheat gains. NDVI increased by 22.6%, from 2003 to 2024, indicating substantial landscape-scale vegetation recovery consistent with field-based evidence of improved soil fertility and crop productivity. Overall, the results provide robust highland-scale evidence that long-term SWC interventions can simultaneously restore soil functions, enhance vegetation recovery, and sustain crop productivity across diverse farming systems of the Ethiopian Highlands, although the magnitude of soil, vegetation, and yield responses varied across farming systems.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118059"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149049166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep soil desiccation patterns and ecohydrological feedbacks of vegetation re-establishment in desiccated soils on the Loess Plateau","authors":"Jing Lu,&nbsp;Yuhong Zhou,&nbsp;Xing Wang,&nbsp;Kemeng Zhang,&nbsp;Zhiyong Gao","doi":"10.1016/j.geoderma.2026.118070","DOIUrl":"10.1016/j.geoderma.2026.118070","url":null,"abstract":"<div><div>Deep soil water (&gt;200 cm) is a critical water source for sustaining vegetation productivity and long term ecosystem stability in water limited regions. However, under the large scale “Grain for Green” program on the Loess Plateau, deep soil water patterns across different vegetation restoration types remain insufficiently understood. The ecohydrological feedbacks associated with vegetation reestablishment in desiccated soils are also unclear. This study integrated 6,516 observations from 176 sites across the Loess Plateau. We systematically assessed soil water conditions and desiccation characteristics within 0–1000 cm soil profiles under rainfed cropland, natural grassland, artificial grassland, orchards, and ecological forests (including tree and shrub plantations). In addition, a 5-year replanting experiment was conducted on soils with pre-existing deep desiccation (&gt;10 m). The experiment compared the coupled responses of soil water dynamics and plant growth under different vegetation configurations. The results show that deep soil desiccation is widespread during vegetation restoration on the Loess Plateau. Rainfed orchards, ecological forests, and artificial grasslands developed persistent dry layers 3–5 m thick. The most severe desiccation occurred in ecological forests. Following replanting on desiccated soils, deep rooted species (<em>Robinia pseudoacacia</em> L., <em>Caragana korshinskii</em> Kom., and <em>Medicago sativa</em> L.) continuously depleted middle and deep soil water because of their high water consumption. They also preferentially utilized infiltrated rainfall, thereby limiting deep recharge and maintaining or exacerbating soil desiccation. Meanwhile, these species exhibited a rainfall-pulse-driven adaptive growth strategy that supported survival and biomass accumulation. In contrast, shallow rooted vegetation (<em>Poa annua</em> L.) and bare land showed limited utilization of deep soil water. Their low water consumption facilitated downward rainfall infiltration. This promoted the gradual rewetting of desiccated layers from shallow to deeper soil depths, with a maximum recovery depth of 450 cm within five years. Deep rooted vegetation dominated the rainfall responsive water use pattern. In contrast, shallow rooted vegetation or bare land was associated with a water conserving rewetting pattern. The divergence between these patterns reveals a coupled mechanism among soil water storage, rainfall input, and vegetation water use strategies. This finding provides a theoretical basis for vegetation restoration under water limited conditions on the Loess Plateau and in similar dryland regions.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118070"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AHFO soil water content calibration model considering heating power: establishment and field application","authors":"Yu-Ling Xin,&nbsp;Meng-Ya Sun,&nbsp;Jie Liu,&nbsp;Xing Zheng,&nbsp;Jun-Yi Guo,&nbsp;Jun-Cheng Yao,&nbsp;Bin Shi","doi":"10.1016/j.geoderma.2026.118081","DOIUrl":"10.1016/j.geoderma.2026.118081","url":null,"abstract":"<div><div>Actively heated fiber-optic (AHFO)-based soil water content measurement technology has been widely applied in geological, agricultural, and environmental monitoring due to its distributed and real-time sensing capability. However, variations in heating power among AHFO sensors are often neglected in large-scale deployments, reducing the accuracy and applicability of soil water content measurements. The primary novelty of this study is the development of a <em>T</em>_t–<em>w</em> calibration framework that explicitly considers heating power and enables the calibration relationship at target heating powers to be derived from a single reference-power calibration. The proposed framework was verified through laboratory experiments using loess samples and further applied to in situ monitoring of soil water content in loess over a distance of up to 218 m, demonstrating its applicability to large-scale soil water content monitoring. Laboratory results demonstrated an approximately linear relationship between <em>T</em>_t and <em>Q</em>. Using 10 W/m for 20 min as the reference, the predicted <em>T</em>_t values at 20 W/m and 35 W/m yielded RMSEs of 1.37°C and 2.02°C, showing good agreement with the experimental results. Further in situ tests indicated that the soil water content values determined by the proposed model showed good agreement with neutron probe measurements (RMSE = 0.0197 g/g), enabling the spatiotemporal dynamics of shallow soil water content and temperature in the loess region to be captured and demonstrating the effectiveness and potential of the model under complex field conditions.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118081"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149150548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}