Geoderma Regional最新文献

{"title":"Harnessing expert knowledge and legacy data for digital soil mapping with no new field surveys","authors":"Jiawei Yang ,&nbsp;Tianwei Wang ,&nbsp;Yihui Bi ,&nbsp;Zhaoxia Li","doi":"10.1016/j.geodrs.2025.e00998","DOIUrl":"10.1016/j.geodrs.2025.e00998","url":null,"abstract":"<div><div>Legacy soil maps, derived from extensive soil surveys, contain invaluable information crucial for soil management practices. However, these maps risk obsolescence due to outdated technology, changes in classification systems, and evolving soil types. Addressing the need for high-precision and high-resolution soil maps, particularly in regions lacking comprehensive survey data, this study proposes an innovative framework for Expert Knowledge and Diagnostic Information-based Digital Soil Mapping (ED-DSM), enabling digital soil mapping with no new field surveys by integrating expert knowledge with diagnostic information. The framework leverages diagnostic horizons and attributes from Chinese Soil Taxonomy (CST), combined with expert assessments of the probability of certain diagnostic features within legacy map units, to extract pseudo-points and assign diagnostic feature types using expert-guided probability-constrained deterministic annealing clustering. Through repeated random sampling and random forest modeling, probability distributions for all diagnostic features are generated, and retrieval rules are constructed to create probabilistic soil type maps. Application of the framework in a county in China yielded the following key findings: (1) ED-DSM successfully generated probability distributions for 16 diagnostic features and produced maximum and secondary probability distribution maps of soil types at the order, suborder, group, and subgroup levels based on the CST, demonstrating exceptional spatial detail; (2) Validation using 33 soil profiles showed an average mapping accuracy for diagnostic features ranging from 0.62 to 0.99, while the average accuracy for soil types at the order, suborder, group, and subgroup levels under maximum probability were 65.86 %, 65.03 %, 47.85 %, and 44.15 %, respectively; and (3) Considering secondary probabilities improved soil type mapping accuracy by 3.55 %–7.19 %, further confirming the method's efficiency and robustness. The ED-DSM framework enables rapid mapping of soil diagnostic features and types without the need for additional soil surveys, offering a cost-effective and scalable solution for resource-limited regions and providing actionable scientific support for soil management practices.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00998"},"PeriodicalIF":3.3,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880321","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}

{"title":"Croplands expansion and agricultural management changes: Soil erosion scenarios in the Rolling Pampa (Argentina)","authors":"Sebastian Vangeli ,&nbsp;Filipe Behrends Kraemer ,&nbsp;Mario G. Castiglioni ,&nbsp;Celio I. Chagas","doi":"10.1016/j.geodrs.2025.e00994","DOIUrl":"10.1016/j.geodrs.2025.e00994","url":null,"abstract":"<div><div>In recent decades, the Rolling Pampa experienced land-use and agricultural management changes that promote soil erosion, such as cropland expansion into grasslands and simplified crop rotations. However, widespread adoption of no-tillage (&gt;90 %) has been reported beneficial for soil conservation. This study estimated the impact of these changes on water erosion in the Arroyo del Tala watershed (≈80,600 ha) over the past three decades. Croplands expansion and rotations simplification were estimated using remote sensing classifications and NDVI trends analysis. Their impact, along with no-till adoption, was individually assessed at the watershed level by integrating the Universal Soil Loss Equation (USLE) within a GIS environment. The combined effect on erosion was then assessed by simultaneously applying the three agricultural changes. Results showed that cropland expanded into 26.1 % of the watershed between 1987 and 2015, with more than half occurring on erosion-prone lands. Negative NDVI trends (2000–2017) indicated declining crop rotation intensification. Cropland expansion and rotation simplification increased estimated average soil erosion at a watershed level by 20 % and 19.8 %, respectively, leading to estimated sediment yield increases of 28.9 % and 21 % (i.e., net soil loss exported from the catchment). In contrast, no-tillage adoption reduced soil erosion by 57.2 %, decreasing sediment yield by 58.4 %. The combined effect of all practices was a 35.3 % reduction in the estimated soil erosion and a 24.3 % decrease in sediment yield. Despite these benefits, previous studies in the same watershed showed widespread ephemeral and permanent gullies formation in recent years, suggesting that recent land-use changes primarily controlled sheet erosion while having little effect on erosive runoff. These findings support landscape planning, identifying areas vulnerable to degradation and lands suitable for sustainable cropping under diversified no-tillage systems.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00994"},"PeriodicalIF":3.3,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810390","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}

{"title":"Arbuscular mycorrhizal fungal (AMF) diversity and population dynamics in organic vs Chemicalized fields concerning soil types, agroclimatic zones and different organic farming practices over seasons, in South India","authors":"Nirmal Philip George ,&nbsp;Joseph George Ray","doi":"10.1016/j.geodrs.2025.e00992","DOIUrl":"10.1016/j.geodrs.2025.e00992","url":null,"abstract":"<div><div>Arbuscular mycorrhizal fungi (AMF) are crucial plant root symbionts that enhance crop productivity, particularly in organic farming. They improve water and nutrient uptake, even in stressed environments, and can strengthen plant resistance. However, AMF effectiveness in agriculture depends on specific crops, agroclimatic conditions, physicochemical soil properties, agricultural practices, and soil types in cultivated fields. This study examined AMF diversity and population dynamics (based on spore count) in organically and conventionally managed fields cultivating five vegetable crops across diverse agroclimatic zones, soil nutrient contents, soil types, and diverse organic farming practices in Kerala, Karnataka, and Tamil Nadu states of South India. The aim was to determine how soil, other environmental, and plant factors influence AMF community dynamics (spore diversity and variations on specific spore counts) and activities (root colonization) in crop fields. The AMF identification relied on spore morphology. Results showed that irrespective of vegetable types, AMF diversity and activity (indirectly indicated by spore count and root colonization) in fields were significantly higher in organic fields, correlating with specific soil types. This extensive preliminary study enabled the identification of some general ecological relationships between AMF, soil, and agricultural practices, guiding future research into crop-soil-AMF interactions to explore AMF application as a biological tool for sustainable agriculture.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00992"},"PeriodicalIF":3.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772147","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}

{"title":"Spatial variability of soil, water, and vegetation in a Patagonian wetland: Implications for sustainable land management planning","authors":"J. Ivelic-Sáez ,&nbsp;S. Valle ,&nbsp;J. Dörner ,&nbsp;J.L. Arumí ,&nbsp;J. Valenzuela ,&nbsp;E. Muñoz ,&nbsp;P. Cisternas ,&nbsp;A. Báez ,&nbsp;S. Radic-Schilling ,&nbsp;M. González-Chang ,&nbsp;J. Clunes ,&nbsp;D. Dec ,&nbsp;R. Horn ,&nbsp;O. Wendroth ,&nbsp;E. Domínguez","doi":"10.1016/j.geodrs.2025.e00993","DOIUrl":"10.1016/j.geodrs.2025.e00993","url":null,"abstract":"<div><div>Site-specific management (SSM) is a key strategy for optimizing inputs in agriculture and livestock production by accounting for the spatial variability of ecosystem properties. Due to the ongoing degradation of Patagonian Vegas (wetland meadows), SSM may provide a framework for sustainable livestock and agricultural management in these ecosystems. This study aimed to assess spatial variability and relationships between soil properties, water dynamics, and vegetation distribution in a Patagonian Vega and to classify and group soil and ecosystem properties into distinct management zones, providing a functional framework for land-use planning and conservation.</div><div>A grid-based sampling approach was used to assess soil, water, and plant biodiversity across seven topographic zones: northern summit, northern high and low footslopes, center of the Vega, southern low and high footslopes, and southern summit. Five key soil variables—bulk density (BD), aluminum pyrophosphate (Al_p), soil organic carbon (SOC), cation exchange capacity (CEC), and the coefficient of linear extensibility (COLE)—were analyzed using geostatistics, along with soil moisture (M), water table height (WT), soil classification, and plant biodiversity.</div><div>The results revealed strong spatial dependence of soil and water variables, differentiating three to five zones depending on the indicator used. While wetter, organic-rich areas may support higher productivity and grazing, they are also more vulnerable to degradation considering that the higher soil moisture decreases the mechanical stability of the soil. Conversely, drier, shallower soils may require conservation-focused management. These findings provide a foundation for future land-use planning, though further studies are needed to experimentally assess the long-term effects of different management strategies on soil stability and ecosystem resilience.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00993"},"PeriodicalIF":3.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144779429","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}

{"title":"Soil organic carbon stocks in the forested regions of Mongolia and its mitigation potential","authors":"Byambaa Ganbat ,&nbsp;Batkhishig Ochirbat ,&nbsp;Jón Guðmundsson ,&nbsp;Telmen Turmunkh ,&nbsp;Zoljargal Khavtgai ,&nbsp;Ganzorig Ulgiichimeg ,&nbsp;Nyamdavaa Batsaikhan","doi":"10.1016/j.geodrs.2025.e00991","DOIUrl":"10.1016/j.geodrs.2025.e00991","url":null,"abstract":"<div><div>Soils represent the largest terrestrial carbon pool globally, with a significant proportion of this carbon stored in forest soils. Mongolia's forest area represents 0.45 % of the world's total forest cover. Research on the variability of SOC stocks within forest soil groups remains limited. This study aimed to address the SOC stock variations and retention capasities among groups of soils including Umbrisols (Gelic), Leptic Umbrisols, Mollic Umbrisols, Gleyic Umbrisols, and Podzols (Arenic). A total of 1558 soil samples from 316 soil profiles were collected in the Mongolian forest. The SOC stock was calculated from key parameters on SOC content, bulk density, and gravel content for each horizon. Then, the calculated SOC stock was standardized to the following depths: 0–30 cm, 30–60 cm, 60–100 cm, and 0–100 cm depth layers using a weighted average method. Mean SOC stock in 0–100 cm across all groups of forest soil was 88.5 Mg C ha⁻¹. SOC stocks ranged between 59 and 141.0 Mg C ha⁻¹ and varied significantly across soil groups (ANOVA: F = 22.9, <em>p</em> &lt; 0.001). Gleyic Umbrisols, predominantly found on the northern foot slopes of mountain, exhibited the highest SOC stock. In contrast, Podzols (Arenic) in sandy forest areas had the lowest SOC stock. Leptic Umbrisols, the most widespread forest soil in Mongolia, had an average SOC stock of 78.6 Mg C ha⁻¹. Across all soil groups, over 57.7–78.1 % of the SOC stocks was found in the first 30 cm emphasizing the critical role of this layer in carbon sequestration. The total SOC stock in Mongolian forest soils is estimated at approximately 1.24 petagrams (Pg). Furthermore, forest soils have the potential to sequester up to an additional 0.68 Pg of SOC. These results offer the first national scale SOC baseline for Mongolia's forests. The results on mitigation potentials highlight the importance of soil group specific management for carbon sequestration.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00991"},"PeriodicalIF":3.1,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713737","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}

{"title":"Quantitative soil mapping in Sudan−a systematic review","authors":"Magboul M.S. Siddig ,&nbsp;Daniela Sauer ,&nbsp;Eric C. Brevik","doi":"10.1016/j.geodrs.2025.e00990","DOIUrl":"10.1016/j.geodrs.2025.e00990","url":null,"abstract":"<div><div>Quantitative soil mapping (QSM), including both digital soil mapping (DSM) based on the <em>scorpan</em> concept and approaches that rely on geostatistical approaches (GeoSA), is important to provide information to make informed decisions for sustainable soil management and land use planning, especially in developing countries. This work provides a systematic review of QSM literature focused on Sudan between 2000 and 2024. In the literature search, we identified 27 QSM articles for Sudan, with the largest number of articles published in 2023. The majority of the QSM (16 articles) utilized a GeoSA for prediction and mapping, while the rest (11 articles) applied the DSM-based scorpan concept. Ordinary kriging was the most used GeoSA, while machine learning algorithms coupled with environmental covariates (ECOVs: i.e., remote sensing data and terrain attributes) only appeared in recent years. Most studies targeted the 0–60 cm soil depth interval, and soil pH and salinity/sodicity were the soil properties most commonly mapped across the country. Only 30 % of studies provided uncertainty estimation along with model assessment. QSM studies in Sudan are still at their early stages in terms of predictive models applied, ECOVs utilized, and utilization of DSM information. Several challenges and research gaps were identified in the current literature that should be investigated in future studies. We recommend the establishment of an international team including Sudanese scientists and interested scientists from other countries to collaborate in research projects that would improve QSM in Sudan, specifically reliance on DSM. Meanwhile, the present collaboration between the Agricultural Research Corporation, Sudan, and the United Nations Food and Agriculture Organization could be upgraded to include more advanced technologies to support a national DSM program that would transform the conventional objective of QSM (i.e., map production) into operational goals.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00990"},"PeriodicalIF":3.1,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702932","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}

{"title":"Assessing the morphological, physicochemical, and mineralogical properties of black soils and ferralsols and identification of potential risk of degradations along a climotoposequence in Foumbot, West Cameroon","authors":"Georges Martial Ndzana ,&nbsp;Jeroen Meersmans ,&nbsp;Li Huang ,&nbsp;Tabi Fritz Oben ,&nbsp;Etienne Mboua ,&nbsp;Azinwi Primus ,&nbsp;C.T. Kaamil Fonfatawouo ,&nbsp;Danielle Mamba ,&nbsp;Etienne Bekoa ,&nbsp;Bertrand Mungu Akam ,&nbsp;Joseph Kabala Mubolo ,&nbsp;Bin Zhang","doi":"10.1016/j.geodrs.2025.e00989","DOIUrl":"10.1016/j.geodrs.2025.e00989","url":null,"abstract":"<div><div>Foumbot in Cameroon is renowned for its fertile soils, which serves as a food basket for the region. However, these soils are currently under threat due to climate change and overutilization. As such, there is a need to better understand their properties, variability and identify the degradation risks to improve their management and conservation. To address this gap, soil profiles formed under volcanic deposits were sampled at three distinct altitudes: 1156 m (highland), 1075 m (middle land), and 974 m (lowland), representing tropical highland, transitioning tropical highland, and tropical forest climates, respectively. Physical and chemical analyses, X-ray diffraction (XRD) and Fourier-Transform Infrared (FTIR) techniques, were conducted to determine the variability of soil morphology, physical and chemical properties, and mineralogy as well as soil classification under climotoposequence. The findings reveal that pedon 1 in the highland was dark in colors (2.5Y and 10YR), slightly acidic to neutral and exhibited the highest organic carbon content (6.8 %) in the surface horizon. In contrast, the middle land, showed a slightly acidic profile (pedon 2) characterized by a darker surface horizon (10YR) with a yellowish subsoil (7.5YR) and lower organic content (4.1 %) in surface horizon compared to pedon 1. Finally, the lowland profile (pedon 3), displayed more acidic conditions and the lowest soil organic carbon content (2.5 %) in surface horizon compared to pedon 1 and pedon 2. A trend of decreasing Alo + ½Feo and Alp/Alo alongside increasing clay content was observed with decreasing altitude. Mineralogical analysis revealed a transition from short-range ordered minerals (allophane and ferrihydrite) in highland soils to poor crystalline kaolinite dominance in the middle land and well crystalline kaolinite in lowland. Additionally, bulk density increased with decreasing altitude. According to the WRB classification, Pedon 1 was classified as Mollic Vytric Silandic <strong>Andosol</strong> (Loamic, Eutrosilic, Humic), Pedon 2 as Dystric Xanthic Andic <strong>Ferralsol</strong> (Clayic, Humic), and Pedon 3 as Umbric Rhodic <strong>Ferralsol (</strong>Clayic, Humic). Andosol was identified as black soil and presents greater potential for agricultural productivity compared to the two other pedons. Since andosols are situated at the top of the hill, possess structural weaknesses (granular structure), and are subjected to intensive cultivation, they pose a higher potential risk of degradation when farming is practiced compared to the other two pedons. This study highlights the significant influence of pedogenetic factors on the soil properties and mineral composition and reveals the urgent need of adopting new soils sustainable management strategies to protect black soils in the Foumbot region of Cameroon.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00989"},"PeriodicalIF":3.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723558","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}

{"title":"Humus forms, earthworm bioturbation and soil organic carbon storage in Chernozems of the low-intensity land use of steppe zone of Ukraine","authors":"Volodymyr Yakovenko ,&nbsp;Vadym Gorban ,&nbsp;Oleksandr Kotovych ,&nbsp;Oleh Didur ,&nbsp;Julia Poleva","doi":"10.1016/j.geodrs.2025.e00988","DOIUrl":"10.1016/j.geodrs.2025.e00988","url":null,"abstract":"<div><div>Chernozems of the low-intensity land use systems of the steppe zone of Ukraine are an important factor of sustainable development, contributing to the conservation of natural resources and maintaining a balance between agricultural productivity and environmental protection. The aim of the study was to assess the humus state of Chernozems of the low-intensity land use systems of the steppe zone of Ukraine under the influence of different types of vegetation (Wildland, Shelterbelts and Native forest). The humus state was determined by such characteristics as humus forms, intensity of earthworm bioturbation, content and reserves of soil organic carbon (SOC), SOC/clay ratio. Humus forms were classified according to Keys of classification of humus systems and forms. The content of earthworm casts was calculated in thin sections as a percentage of the total number of aggregates of the 2–0.25 mm fraction of the surface layer. Soil organic carbon was determined by the titration method, with subsequent calculation of its reserves in the soil layer. The SOC/clay Ratio was used to determine the soil structure qualities class and the level of soil layer saturation with humus. The comparison of quantitative characteristics of soils under the influence of different types of vegetation was carried out by statistical methods (descriptive statistics, ANOVA/MANOVA, multiple comparison of means according to the Tukey criterion). It was found that humipedons of Wildland Chernozems belong to the Mesomull humus form, humipedons under Shelterbelts and Native forest belong to Oligomull. Earthworm casts content in Native forest Chernozem is 3.5 and 2.9 times higher than in Chernozems under wildland steppe vegetation and artificial forest, respectively. SOC/clay Ratio for Native forest statistically significantly (p ˂ 0.05) exceeds the indicators for Wildland and Shelterbelts. The dependence of the distribution of SOC reserves in the thickness of the studied soils on the type of vegetation was established, according to which the SOC reserve for Native forest statistically significantly (p ˂ 0.05) exceeds this indicator for Wildland and Shelterbelts by 1.42 and 1.40 times, respectively. Thus, the type of vegetation significantly affects the quantity, quality of humus and the overall humus state of Chernozems of the steppe zone of Ukraine under low-intensity land use. The results of the study will be useful for diagnosing organic matter transformations, accounting for carbon reserves in soils of steppe landscapes of Ukraine, and monitoring the humus state of Chernozems that are actively used in agriculture.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00988"},"PeriodicalIF":3.1,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680721","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}

{"title":"Controls on soil respiration in alpine tundra","authors":"Sarah A. Schliemann ,&nbsp;Nels Grevstad ,&nbsp;David A. Parr","doi":"10.1016/j.geodrs.2025.e00987","DOIUrl":"10.1016/j.geodrs.2025.e00987","url":null,"abstract":"<div><div>Alpine tundra ecosystems, like their arctic counterparts, have historically been the sites of considerable soil organic carbon (SOC) storage due to climatic factors that suppressed microbial activity. While climatic factors are important, heterotopic soil respiration (and SOC storage) may be influenced by a range of soil characteristics. In this study, we measured soil respiration, soil temperature, soil moisture, soil nutrient concentrations, soil pH, and soil texture in 4 alpine tundra sites located in Rocky Mountain National Park, Colorado, USA from June 2015 – September 2021. We also used geospatial modeling to visualize predicted climate changes in this system over the 21st century. Finally, we measured SOC concentrations over the seven-year study. We found that soil respiration was significantly correlated with soil temperature, soil moisture, and soil texture. All other parameters were not significantly correlated with soil respiration. We also found that SOC concentrations did not change significantly over the course of the seven-year study. The predictive models show that by the end of the century, over the majority of the park, the mean maximum air temperature will increase, the amount of snowfall will decrease, soil moisture will decrease, and the number of snow-free days will increase. These results suggest that SOC is not currently being lost from this system at a high rate. In addition, it appears that with a changing climate, soil respiration may increase with warming, but the overall increase may be limited by decreased soil moisture and in some cases, high soil temperatures.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00987"},"PeriodicalIF":3.1,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655281","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}

{"title":"Targeted sludge application for carbon sequestration: A novel approach deployed in semi-arid soils","authors":"Fabio Corradini ,&nbsp;Rodrigo Candia ,&nbsp;María Jiménez","doi":"10.1016/j.geodrs.2025.e00986","DOIUrl":"10.1016/j.geodrs.2025.e00986","url":null,"abstract":"<div><div>Municipal wastewater sludge can contribute to nutrient recycling and carbon accumulation in soils. However, achieving these benefits requires both an appropriate application rate and suitable field selection. This study proposes an approach to guide field selection to optimize carbon accumulation. The approach integrates hydrological and topographical data with historical records of sludge applications and soil chemical properties to predict medium- to long-term organic carbon concentration in soils following sludge application. An opportunity map was developed using a model trained with 14 years of data from a wastewater company in Chile. Following a scenario analysis, two fields (each with eight paddocks) with contrasting soil conditions were selected to evaluate model performance and assess organic carbon distribution within the soil profile. The model achieved a root mean square error of 6.2 g kg⁻¹ for topsoil organic carbon, with an R² value of 0.43. The opportunity map revealed that only 20 % of the paddocks that had received sludge since the company started its operations were located in soils with potential for organic carbon accumulation. The case study indicated that fallow-corn rotations promoted organic carbon loss, regardless of the sludge application rate. Direct observations of the paddocks showed that organic carbon accumulated beyond the ploughing depth. Deep, fine-textured soils contained 156.7 ± 17.0 tons ha⁻¹ of organic carbon, whereas shallow, coarse-textured soils had 131.3 ± 14.9 tons ha⁻¹ after similar sludge application rates. The carbon balances for the topsoil, both predicted and observed, were negative for the studied fields. Since sludge application records included only topsoil data, it was not possible to calculate a net carbon balance. The proposed approach accurately reflected paddock conditions and could serve as a decision-making tool for selecting suitable soils for sludge disposal to maximise soil carbon accumulation.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"42 ","pages":"Article e00986"},"PeriodicalIF":3.1,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631463","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}