Geoderma最新文献

{"title":"Response to the letter by Xiaoming Zou on “Earthworms as mutualists rather than predators of soil microorganisms”","authors":"Manuel Blouin, Frédérique Reverchon, Isabelle Barois, Patrick Lavelle","doi":"10.1016/j.geoderma.2025.117306","DOIUrl":"10.1016/j.geoderma.2025.117306","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117306"},"PeriodicalIF":5.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116277","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":"Integrating fractional-order derivatives of soil and leaf hyperspectral reflectance for improved estimation of mangrove soil organic carbon","authors":"Yibo Luo ,&nbsp;Chunlin Li ,&nbsp;Jinhong Huang ,&nbsp;Chengcheng Dong ,&nbsp;Junjie Wang","doi":"10.1016/j.geoderma.2025.117324","DOIUrl":"10.1016/j.geoderma.2025.117324","url":null,"abstract":"<div><div>Mangrove ecosystems are vital for carbon sequestration and coastal protection, yet accurate estimation of soil organic carbon (SOC) using remote sensing remains challenging due to spectral interference caused by dynamic vegetation cover. This study presents a novel framework integrating fractional-order derivative (FOD) techniques with machine learning algorithms for SOC estimation in mangrove wetlands. A total of 201 soil samples were collected from five mangrove wetlands in southern China. FOD was applied to both soil and leaf hyperspectral reflectance to amplify subtle spectral variations typically overlooked by conventional approaches. SOC-sensitive wavelengths were identified using the SHAP-XGBoost (Shapley Additive Explanations-Extreme Gradient Boosting) method. A total of 363 modeling strategies were constructed using Random Forest, XGBoost, and CatBoost (Categorical Boosting) algorithms across 11 vegetation cover levels (0–100 %) and 11 fractional orders (0–2 at 0.2 intervals). Results indicate that fractional orders between 0.8 and 1.4 consistently yielded superior performance. The CatBoost model under 10 % vegetation cover and a fractional order of 1.2 achieved the highest accuracy (R² = 0.730, RMSE = 0.858 %). Incorporating key soil and terrain variables (e.g. soil iron, clay content, pH, salinity, redox potential, and elevation) into the spectra-based SOC estimation model significantly enhanced prediction accuracy, highlighting the complementary roles of spectral signals, soil characteristics, and topographic features in SOC modeling. This framework holds the potential for advancing blue carbon accounting and supporting sustainable mangrove conservation and management under changing environmental conditions.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117324"},"PeriodicalIF":5.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899812","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":"Effect of chronic N deposition on soil carbon composition along a subtropical urbanization gradient: Underlying microbial taxa with ecological roles","authors":"Wenjuan Yu ,&nbsp;Xinyu Jiao ,&nbsp;Yan Li ,&nbsp;Shanshan Zhang ,&nbsp;Hongzhang Kang","doi":"10.1016/j.geoderma.2025.117328","DOIUrl":"10.1016/j.geoderma.2025.117328","url":null,"abstract":"<div><div>Contributions of plant- vs. microbial-derived C to soil organic carbon (SOC) is vital for predicting SOC persistence, yet little is known about impact of N deposition on SOC composition and the underlying microbial taxa with distinct ecological roles in subtropical forests. Here, along an urbanization gradient with increasing ambient N deposition from exurb and suburb to center in Shanghai, we investigated relationships among SOC composition and N deposition and uncovered the microbial mechanisms. SOC composition reflected by 121 pyrolysis products were related to soil physicochemical and microbial variables. Lignin (plant-derived SOC) and N-bearing (microbial-derived SOC) abundances showed opposite patterns and relationships with biogeochemical variables along the gradient. Ratio of lignin to N-bearing increased from exurb and suburb to center and had strong positive relationships with soil available N and SOC. This suggests that N deposition caused a greater increase in plant- vs. microbial-derived SOC. Major bacterial and fungal taxa positively related to the ratio and lignin abundance were involved in partial decomposition of lignin. Taxa positively related to the ratio and negatively to N-bearing abundance were copiotrophic while those showing opposite relationships were oligotrophic. These major taxa were also correlated with SOC and/or available N. Overall, our study uncovered microbial taxa with distinct ecological roles underlying effect of N deposition on SOC composition in subtropical forests.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117328"},"PeriodicalIF":5.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899841","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":"Corrigendum to “The problematic case of data leakage: A case for leave-profile-out cross-validation in 3-dimensional digital soil mapping” [Geoderma 455 (2025) 117223]","authors":"Kingsley John ,&nbsp;Daniel D. Saurette ,&nbsp;Brandon Heung","doi":"10.1016/j.geoderma.2025.117286","DOIUrl":"10.1016/j.geoderma.2025.117286","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"457 ","pages":"Article 117286"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886292","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":"Taxonomic and functional β-diversity of Collembola across elevational and seasonal gradients on a temperate mountain","authors":"Zhijing Xie ,&nbsp;Jian Zhang ,&nbsp;Yuhao Zhao ,&nbsp;Dingliang Xing ,&nbsp;Yunga Wu ,&nbsp;Johannes Lux ,&nbsp;Liang Chang ,&nbsp;Kangle Lu ,&nbsp;Xin Sun ,&nbsp;Donghui Wu ,&nbsp;Stefan Scheu","doi":"10.1016/j.geoderma.2025.117322","DOIUrl":"10.1016/j.geoderma.2025.117322","url":null,"abstract":"<div><div>Understanding seasonal variations in community composition and species distribution along elevation gradients is a core task in biogeography and ecology but remains poorly studied, particularly in soil animal communities. In this study, we assessed seasonal β diversity of Collembola assemblages on Changbai Mountain, China. We sampled 18,942 individuals comprising 96 Collembola species across 10 altitudes (800 –2150 m) and measured five morphological traits (body length, number of ocelli, furca development, pigmentation and scales) of the species across three seasons. We then assessed both incidence-based and abundance-weighted taxonomic as well as functional β-diversity, and partitioned them into species turnover and nestedness, while also considering the contributions of particular species and elevation. Finally, we used multiple regression-based distance matrices to investigate the relative contribution of local habitat-related and climatic factors to β-diversity and their components. Overall taxonomic β-diversity, but not functional β-diversity, increased significantly with elevational distance. Generally, turnover components dominated taxonomic β-diversity across elevations, while both nestedness and turnover equally contributed to functional β-diversity. By contrast, both taxonomic and functional β-diversity varied inconsistently among seasons. The turnover components dominated taxonomic β-diversity across seasons, whereas the nestedness component contributed more to functional β-diversity. Furthermore, the local contribution to overall incidence-based taxonomic β-diversity followed a pronounced U-shaped pattern, indicates that lower and higher elevations significantly contribute to the biodiversity of Collembola communities. Notably, the local contribution to abundance-weighted taxonomic β-diversity decreased significantly with elevation in September but not in May and July. The species contributing to β-diversity varied not only between taxonomic and functional β-diversity but also between seasons. Temperature strongly influenced both taxonomic and functional β-diversity patterns, underscoring its role in shaping Collembola diversity across elevation. Soil pH correlated with functional β-diversity and its turnover component in September but not in May and July. Our findings highlight the importance of incorporating seasonal variations in biodiversity assessments and underscore the contribution of lower and higher elevations to biodiversity conservation in mountainous regions.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117322"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895233","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":"Long-term effects of biochar on the hydraulic properties of soil: A meta-analysis based on 1–10 years field experiments","authors":"Zhen Jiang,&nbsp;Shuang Huang,&nbsp;Zhuowen Meng","doi":"10.1016/j.geoderma.2025.117318","DOIUrl":"10.1016/j.geoderma.2025.117318","url":null,"abstract":"<div><div>The improvement of soil hydraulic properties by the addition of biochar has been assessed by many researchers. However, the long-term effects of biochar on soil hydraulic properties under field conditions are still unclear. In this study, we conducted a statistical <em>meta</em>-analysis of 1–10 years of field experiment data from 61 studies published between 2009 and 2023. We sought to elucidate the long-term effects of biochar properties and application rates on soil hydraulic characteristics. Furthermore, we investigated the effects of applying biochar of different particle sizes to soils with different textures on soil hydraulic properties. According to the results, applying biochar under field experimental conditions significantly increased soil total porosity, saturated hydraulic conductivity, field capacity, and available water capacity, and obviously decreased soil bulk density. The effect of biochar on soil bulk density decreased as the duration of the field experiments increased. The effect sizes of biochar addition on soil total porosity, field capacity, and available water capacity reached maximum values in the second year and then gradually decreased in the following years because of biochar aging; however, a positive effect remained even after 3 years compared with the control. The key factors driving the long-term effects of biochar on soil hydraulic properties were biochar feedstock, application rate, and soil texture. Compared with crop residue biochar, woody biochar had stronger and more long-lasting effects on the hydraulic properties of soil. Compared with those of coarse-textured and medium-textured soils, saturated hydraulic conductivity, field capacity, and available water capacity of fine-textured soils were greater with biochar addition. This study recommends using woody biochar at an application rate of 20-40 Mg/ha to ensure its effectiveness in improving soil quality.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117318"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882543","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":"Earthworms are both predators and mutualists of soil microorganisms: a nuanced perspective","authors":"Xiaoming Zou","doi":"10.1016/j.geoderma.2025.117305","DOIUrl":"10.1016/j.geoderma.2025.117305","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117305"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116276","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":"Nutrient availability mediates organic carbon turnover in paddy soils through regulating microbial metabolism","authors":"Han Sun ,&nbsp;Lili Wang ,&nbsp;Amit Kumar ,&nbsp;Muhammad Auwal ,&nbsp;Lukas Van Zwieten ,&nbsp;Tida Ge ,&nbsp;Yingyi Fu ,&nbsp;Yakov Kuzyakov","doi":"10.1016/j.geoderma.2025.117313","DOIUrl":"10.1016/j.geoderma.2025.117313","url":null,"abstract":"<div><div>Nutrient availability significantly influences soil microbial communities and the soil organic carbon (SOC) cycle. Yet, the precise response of microbial metabolism, particularly carbon use efficiency (CUE), to varying nutrient levels, and the subsequent impact on microbial respiration in paddy soils, remains a key area of investigation. In this study, we utilized six paddy soils collected across a latitudinal gradient from Northeast to Southeast China to examine the effects of nutrient availability on CUE, employing the ¹⁸O water labeling approach. We also assessed associated microbial metabolic parameters, including growth, biomass, turnover rate, and extracellular enzyme activity, under different nitrogen, phosphorus, and potassium (NPK) fertilization regimes. Our results revealed that the highest NPK amendment rate (NPK_H) generally led to the greatest microbial growth and biomass, coupled with the slowest microbial biomass turnover rates, especially in the southeastern paddy soils. This enhanced growth and biomass accumulation likely resulted from increased CUE following the alleviation of C and nutrient limitations through fertilization. Furthermore, we observed that reducing these limitations led to decreased extracellular enzyme activity and a corresponding reduction in microbial respiration. This suggests a critical balance between microbial investment in anabolic processes (biomass production) and catabolic processes (decomposition of soil organic matter) in determining CO₂ loss from paddy soils. Overall, our findings indicate that soil microorganisms exhibiting higher CUE, faster growth, larger biomass, but lower CO₂, turnover and extracellular enzyme activity contribute to reduced SOC mineralization and, consequently, limited release. These results suggest that strategic nutrient management in paddy soils has the potential to mitigate C emissions by effectively regulating key aspects of microbial metabolism, specifically by promoting a shift towards biomass production over decomposition.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117313"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878619","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":"Letter-to-the-Editor: Unfrozen water availability controls temperature-dependence of biogeochemical processes in frozen soils","authors":"Fereidoun Rezanezhad","doi":"10.1016/j.geoderma.2025.117307","DOIUrl":"10.1016/j.geoderma.2025.117307","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117307"},"PeriodicalIF":5.6,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876773","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":"Advancing remote sensing of biocrusts with drone imagery and machine learning","authors":"Jana Stewart ,&nbsp;Roxane J. Francis ,&nbsp;David J. Eldridge ,&nbsp;Richard T. Kingsford ,&nbsp;Nathali Machado de Lima","doi":"10.1016/j.geoderma.2025.117315","DOIUrl":"10.1016/j.geoderma.2025.117315","url":null,"abstract":"<div><div>Biocrusts are a major ground cover type in drylands, driving ecosystem function and contributing to biodiversity at large scales. However, their small size and similar colour to background soils and vegetation make them challenging to monitor with remote sensing. We developed a simple and accurate field method for large scale surveys of biocrust, using drone imagery and machine learning, guided by visual ground survey data. We compared the accuracy of three different camera sensors- RGB, multispectral, and thermal. We used XGBoost predictive modelling to classify groundcover into six classes including three biocrust community morphology types (bare ground, cyanobacteria-lichen biocrust, crustose and foliose lichen biocrust, moss biocrust, dead vegetation, live vegetation). Visual ground-based survey data and fine-scale photography were used to ground truth drone imagery to develop training datasets. Modelled outputs demonstrated that Multispectral was the best drone camera sensor type, with the highest accuracy of 97.0 %, with NDVI the most important band for the model. When we applied the model to 50 m² plots to validate its predictions, we had similar results to visual classification from field surveys and fine-scale photographs, successfully separating biocrust from bare ground. Our relatively simple method can be applied to biocrusts using readily available, low-cost technology. Considerable opportunities exist for using this approach to provide landscape-level biocrust assessment, using remote sensing, leading to improved restoration and management of drylands for conservation.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117315"},"PeriodicalIF":5.6,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877320","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}