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Effects of fire severity on soil organic matter: a multi-isotope (C, N, H, O) comparison of wildfires and experimental burns 火灾严重程度对土壤有机质的影响:野火和实验烧伤的多同位素(C, N, H, O)比较
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-15 DOI: 10.1016/j.catena.2026.109817
Layla M. San-Emeterio , Nicasio T. Jiménez-Morillo , José A. Vega , Cristina Fernández , Teresa Fontúrbel , Gonzalo Almendros , José.A. González-Pérez
Fire severity is key in shaping soil organic matter (SOM) composition, affecting biogeochemical cycles and post-fire recovery. However, accurately assessing fire severity is highly challenging, requiring the implementation of soil burn severity (SBS) indexes. This study employs a multi-isotope and elemental approach (C, N, H, O) to assess fire-induced changes in SOM quantity and quality across soil burn severity (SBS) levels in 0–2 cm mineral soil samples from wildfires and controlled experimental burns on intact soil monoliths in pine forests of Galicia (NW Spain). Results indicate that total organic carbon (TOC) and nitrogen (TN) decreased with increasing burn severity, with TOC losses reaching up to 90% in the most severe burns. Stable isotope analyses revealed divergent fractionation patterns: carbon isotope (δ13C) depletion in wildfire-affected soils suggested preferential combustion of lignin-derived compounds, whereas experimental burns exhibited slight δ13C enrichment due to the removal of thermolabile organic fractions. Similarly, nitrogen isotope (δ15N) values increased with burn severity, which may be linked to the alteration soil microbial community and selective nitrogen volatilization. Hydrogen (δ2H) and oxygen (δ18O) isotopes showed distinct evaporative and oxidative fractionation trends, with experimental fires displaying stronger δ2H enrichment due to more controlled combustion conditions. These findings highlight the utility of elemental and stable isotope analysis in distinguishing between fire types and assessing fire impacts on SOM. These results confirm the suitability of this system of visual indicators for assessing changes in the quality of organic matter in a simple way after a fire.
火灾严重程度是影响土壤有机质组成、生物地球化学循环和火灾后恢复的关键因素。然而,准确评估火灾严重程度极具挑战性,需要实施土壤烧伤严重程度(SBS)指数。本研究采用多同位素和元素方法(C, N, H, O)来评估火灾引起的SOM数量和质量在土壤烧伤严重程度(SBS)水平上的变化,这些土壤烧伤严重程度(SBS)水平来自加利西亚(西班牙西北部)松林中野火和受控实验烧伤的0-2 cm矿物土壤样品。结果表明,随着烧伤严重程度的增加,总有机碳(TOC)和总氮(TN)减少,在最严重的烧伤中TOC损失高达90%。稳定同位素分析揭示了不同的分馏模式:受野火影响的土壤中的碳同位素(δ13C)耗损表明木质素衍生化合物优先燃烧,而实验燃烧由于去除了耐热性有机组分而表现出轻微的δ13C富集。氮同位素(δ15N)值也随烧伤程度的增加而增加,这可能与土壤微生物群落的改变和氮的选择性挥发有关。氢(δ2H)和氧(δ18O)同位素表现出明显的蒸发和氧化分馏趋势,实验火表现出更强的δ2H富集,因为燃烧条件更受控。这些发现强调了元素和稳定同位素分析在区分火灾类型和评估火灾对SOM的影响方面的效用。这些结果证实了该视觉指标系统在火灾后有机物质量变化评估中的适用性。
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引用次数: 0
Hydrological alterations induced lakeward expansion of wetland vegetation in Dongting Lake, China's second-largest lake 水文变化导致中国第二大湖泊洞庭湖湿地植被向湖泊扩展
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-14 DOI: 10.1016/j.catena.2026.109821
Jiangjie Yang , Zhijun Dai , Xuefei Mei , Fangyuan Bu , Yizhuang Liu
Dongting Lake (DTL), one of China's largest freshwater lakes and a critical wetland ecosystem, has shrunk rapidly due to both natural and human factors. This study presents one of the longest continuous analyses of wetland vegetation dynamics from 1989 to 2023 by combining long-term hydrological data with high-resolution remote sensing imagery, explicitly examining the impacts of hydrological alterations before and after the construction of the Three Gorges Dam (TGD). Results revealed that the vegetation area of DTL increased at a rate of 5.08 km2/yr, with regional rates of 1.88 km2/yr (East), 2.54 km2/yr (South), and 1.46 km2/yr (West), advancing lakeward at average rates of 27.56 ± 27.03 m/yr (East), 13.74 ± 14.45 m/yr (South), and 22.45 ± 20.67 m/yr (West), corresponding with water retreat and a downward shift of vegetation zones. Hydrological alterations caused by the TGD, including lower water levels (∼0.6 m) and longer dry seasons (35 days), strongly shaped wetland vegetation dynamics, with East DTL mainly responding to water level decline and South and West DTL being more sensitive to dry season duration. Sediment input supported vegetation expansion, and vegetation-sediment feedback accelerated wetland evolution by trapping sediments and raising floodplain elevation. Local reclamation and sand mining resulted in a substantial wetland loss of 117.7 km2. This study provides a comprehensive understanding of the coupled effects of hydrological drivers and ecological feedback on wetland evolution, offering critical insights for the sustainable management and restoration of lake ecosystems.
洞庭湖是中国最大的淡水湖之一,也是重要的湿地生态系统,由于自然和人为因素的影响,洞庭湖正在迅速萎缩。本研究结合长期水文资料和高分辨率遥感影像,对1989 - 2023年湿地植被动态进行了最长时间的连续分析,明确考察了三峡大坝建设前后水文变化的影响。结果表明:DTL植被面积以5.08 km2/yr的速率增加,区域速率分别为1.88 km2/yr(东)、2.54 km2/yr(南)和1.46 km2/yr(西),向湖推进的平均速率分别为27.56±27.03 m/yr(东)、13.74±14.45 m/yr(南)和22.45±20.67 m/yr(西),与水体退缩和植被带向下移动相对应。三峡库区水位降低(~ 0.6 m)、旱季延长(35 d)等水文变化对湿地植被动态的影响较大,东部旱季区主要响应水位下降,而南部和西部旱季区对旱季持续时间更为敏感。泥沙输入支持植被扩张,植被-泥沙反馈通过截流泥沙和提高河漫滩高程加速湿地演化。当地的填海和采砂造成了117.7平方公里的湿地损失。该研究全面揭示了水文驱动因素和生态反馈对湿地演变的耦合作用,为湖泊生态系统的可持续管理和恢复提供了重要见解。
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引用次数: 0
Discrepancies in microbial nitrogen cycling among diverse karst hydrological systems: enhanced nitrate reduction potential in karst conduits 不同岩溶水文系统中微生物氮循环的差异:岩溶管道中硝酸盐还原潜力的增强
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-14 DOI: 10.1016/j.catena.2026.109795
Danni Zhu , Yi Li , Lihua Niu , Changsong Zhou , Lianjie Fan , Haiping Lu , Li Lin
Karst groundwater, a critical global drinking water source, exhibits heightened vulnerability to nitrate (NO3) contamination due to rapid hydraulic connectivity and redox fluctuations. Microbial nitrogen (N) cycling influenced by hydrological conditions is crucial to accurately identify the NO3 fate in karst aquifers. However, how karst hydrological conditions affect microbial N-cycling and NO3 turnover remains unclear. Herein, NO3 sources, transformation, and underlying microbial mechanisms of N-cycling were investigated by coupling hydrochemistry, stable isotopes, and microbial sequencing in two karst conduit systems (velocity: 54 and 37 m h−1) and a matrix aquifer (velocity: 0.8 m h−1). Hydrochemistry and stable isotope signatures indicated broader sources of NO3-N in conduit systems than in the matrix aquifer, yet conduit groundwater possessed lower NO3 concentrations, suggesting active nitrate attenuation. The microbes and functional genes of N-cycling revealed that NO3 reduction potentials involved in dissimilatory nitrate reduction, assimilatory nitrate reduction, and denitrification were significantly enhanced in conduit systems compared to the matrix aquifer. Additionally, conduit systems exhibited stronger community cohesion and a higher proportion of deterministic processes than the matrix aquifer. Generalized linear models further confirmed that community coalescence and assembly synergistically drive the enrichment of nitrate-reducing taxa in conduit systems. Partial least squares path modeling finally identified ORP, DIC, turbidity, and velocity as key hydrological drivers shaping N-cycling functions via community coalescence and assembly. These results link karst hydrodynamics to NO3 attenuation via microbially mediated ecological mechanisms, providing insights for NO3 pollution mitigation in karst aquifers.
岩溶地下水是全球重要的饮用水源,由于快速的水力连通性和氧化还原波动,其对硝酸盐(NO3−)污染的脆弱性增加。受水文条件影响的微生物氮循环是准确识别岩溶含水层NO3−命运的关键。然而,喀斯特水文条件如何影响微生物n循环和NO3−周转尚不清楚。本文通过耦合水化学、稳定同位素和微生物测序,研究了两个岩溶管道系统(流速为54和37 m h−1)和基质含水层(流速为0.8 m h−1)中NO3−的来源、转化和n循环的潜在微生物机制。水化学和稳定同位素特征表明,管道系统中NO3−-N的来源比基质含水层更广泛,但管道地下水的NO3−浓度较低,表明硝酸盐的活性衰减。氮循环的微生物和功能基因表明,与基质含水层相比,管道系统中参与异化硝酸盐还原、同化硝酸盐还原和反硝化的NO3−还原电位显著增强。此外,管道系统比基质含水层表现出更强的群落凝聚力和更高比例的确定性过程。广义线性模型进一步证实了群落聚合和组装协同驱动管道系统中硝酸盐还原类群的富集。偏最小二乘路径模型最终确定ORP、DIC、浊度和流速是通过群落聚合和组装形成n循环函数的关键水文驱动因素。这些结果通过微生物介导的生态机制将岩溶水动力学与NO3−衰减联系起来,为岩溶含水层的NO3−污染缓解提供了见解。
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引用次数: 0
Impacts of increasing extreme climate events on Muz Taw glacier, Central Asia 日益增多的极端气候事件对中亚木兹陶冰川的影响
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-13 DOI: 10.1016/j.catena.2026.109823
Puyu Wang , Fengchen Yu , Fanglong Wang , Puchen Chen , Hongliang Li , Ming Zhang
The increasing frequency of extreme climate events has drawn widespread attention, particularly regarding their impacts on glacier ablation. As the only glacier in the Sawir Mountains with long-term monitoring, the Muz Taw Glacier provides continuous records and serves as an important reference for glaciers in the regions of high latitude and low altitude. Using RClimDex model combination with measurements, ERA5-Land reanalysis, and multi-source remote sensing data, this study analyzed the evolution of extreme climate events in this typical glacier area from 2000 to 2024. Over the past 25 years, all extreme temperature indices show rapid warming in the glacier area, accompanied by differences in temporal pattern, with nighttime warming faster than daytime, and warming magnitude during the non-ablation period exceeding that during the ablation period. Except for R1Xday and R5Xday, extreme precipitation indices showed increasing duration and cumulative intensity, with greater intensity during the ablation period. The stronger correlation between extreme temperature indices and glacier albedo with mass balance suggests that rising extreme warm events and declining albedo contribute to the accelerated glacier mass loss. Particularly in 2024, the Muz Taw Glacier experienced the highest temperature and the greatest amount of mass loss ever recorded.
极端气候事件频率的增加引起了广泛关注,特别是对冰川消融的影响。木兹陶冰川是萨维尔山区唯一被长期监测的冰川,提供了连续的记录,是高纬度低海拔地区冰川的重要参考。利用RClimDex模型结合实测数据、ERA5-Land再分析和多源遥感数据,分析了2000 - 2024年典型冰川区极端气候事件的演变。近25 a来,各极端温度指数均表现出冰川区快速升温的特征,且在时间格局上存在差异,夜间升温快于白天,非消融期升温幅度大于消融期。除R1Xday和R5Xday外,极端降水指数持续时间和累积强度均呈增加趋势,消融期降水强度更大。极端温度指数与冰川反照率与物质平衡之间的相关性较强,表明极端温暖事件的增加和反照率的下降是冰川物质损失加速的原因。特别是在2024年,Muz Taw冰川经历了有史以来最高的温度和最大的质量损失。
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引用次数: 0
Impact of plateau pika burrows on soil water infiltration: Insights from controlled experiments and numerical simulation 高原鼠兔洞对土壤水分入渗的影响:来自对照实验和数值模拟的见解
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-13 DOI: 10.1016/j.catena.2026.109816
Zhijie Cai , Xiujie Wu , Zhongyuan Xu , Weini Hu , Longwei Hao , Zongxu Liu , Jiani Li
High density plateau pika activity in Qinghai-Tibet Plateau reforms soil properties and affects hydrological processes. However, studies focusing on the ecohydrology of pika burrows are sparse. This study, based on field investigations, applies sandbox experiments to investigate the effects of plateau pika burrows on preferential flow. Numerical simulations are conducted using COMSOL to explore the influence of various burrow structural parameters on water infiltration, including burrow diameter, depth, bottom length, and the separated burrow entrance and bottom section. Additionally, the impact of different burrow densities on water infiltration is analyzed.
The results showed that both the experiments and the model confirmed the occurrence of preferential flow in rodent burrows under varying rainfall intensity conditions. In the experiments, the soil water content at the same location was being up to 16.2% higher compared to non-burrow. Moreover, the bottom drainage of the burrow sandbox occurred first, and the total drainage volume was 8.6 times that of the non-burrow. Simulations demonstrate that burrow depth is the most significant factor among structural parameters of burrow. A 150% increase in depth led to a 62.67% increase in infiltration flux. Burrow diameter ranks second, while the burrow bottom length has the least effect. And the contribution of the burrow bottom alone to promoting water infiltration is very limited. Furthermore, excessive burrow density led to overly localized infiltration, weakening the overall enhancement. The findings enhance our understanding of rodent burrows on soil water movement and hydrological cycles, providing valuable scientific support for ecohydrology and water resource assessment.
青藏高原高密度高原鼠兔活动改变了土壤性质,影响了水文过程。然而,对鼠兔洞穴生态水文的研究较少。本研究在野外调查的基础上,采用沙盒实验研究高原鼠兔洞穴对优先流的影响。利用COMSOL软件进行了数值模拟,探讨了不同穴道结构参数对水入渗的影响,包括穴道直径、深度、底部长度以及分离的穴道入口和底部断面。此外,还分析了不同钻孔密度对水分入渗的影响。结果表明,实验和模型都证实了在不同降雨强度条件下啮齿动物洞穴中存在优先流动。在实验中,同一位置的土壤含水量比非穴居土壤含水量高16.2%。其中,有洞沙箱底部排水最先发生,总排水量是非有洞沙箱的8.6倍。仿真结果表明,掘进深度是掘进结构参数中最重要的因素。深度增加150%,入渗通量增加62.67%。洞穴直径排名第二,洞穴底部长度影响最小。而单靠洞底对促进水分入渗的贡献是非常有限的。此外,过大的洞密度导致入渗过于局部化,削弱了整体增强效果。这一发现加深了我们对啮齿动物洞穴对土壤水分运动和水循环的认识,为生态水文和水资源评价提供了有价值的科学依据。
{"title":"Impact of plateau pika burrows on soil water infiltration: Insights from controlled experiments and numerical simulation","authors":"Zhijie Cai ,&nbsp;Xiujie Wu ,&nbsp;Zhongyuan Xu ,&nbsp;Weini Hu ,&nbsp;Longwei Hao ,&nbsp;Zongxu Liu ,&nbsp;Jiani Li","doi":"10.1016/j.catena.2026.109816","DOIUrl":"10.1016/j.catena.2026.109816","url":null,"abstract":"<div><div>High density plateau pika activity in Qinghai-Tibet Plateau reforms soil properties and affects hydrological processes. However, studies focusing on the ecohydrology of pika burrows are sparse. This study, based on field investigations, applies sandbox experiments to investigate the effects of plateau pika burrows on preferential flow. Numerical simulations are conducted using COMSOL to explore the influence of various burrow structural parameters on water infiltration, including burrow diameter, depth, bottom length, and the separated burrow entrance and bottom section. Additionally, the impact of different burrow densities on water infiltration is analyzed.</div><div>The results showed that both the experiments and the model confirmed the occurrence of preferential flow in rodent burrows under varying rainfall intensity conditions. In the experiments, the soil water content at the same location was being up to 16.2% higher compared to non-burrow. Moreover, the bottom drainage of the burrow sandbox occurred first, and the total drainage volume was 8.6 times that of the non-burrow. Simulations demonstrate that burrow depth is the most significant factor among structural parameters of burrow. A 150% increase in depth led to a 62.67% increase in infiltration flux. Burrow diameter ranks second, while the burrow bottom length has the least effect. And the contribution of the burrow bottom alone to promoting water infiltration is very limited. Furthermore, excessive burrow density led to overly localized infiltration, weakening the overall enhancement. The findings enhance our understanding of rodent burrows on soil water movement and hydrological cycles, providing valuable scientific support for ecohydrology and water resource assessment.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"264 ","pages":"Article 109816"},"PeriodicalIF":5.7,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974010","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}
引用次数: 0
Valley agriculture in the middle reaches of the Yarlung Zangbo River was buffered against the drought event during the last millennium 雅鲁藏布江中游河谷农业在过去一千年的干旱事件中得到缓冲
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-13 DOI: 10.1016/j.catena.2026.109800
Weiyu Cao , Fang Tian , Zixin Liu , Meijiao Chen , Xianyong Cao
Knowledge of the long-term land-use history and human-environment interaction processes in broad valleys is essential for the harmonious development of the Tibetan Plateau. In this study, we analyzed high-resolution multi-proxy records derived from Ruba Lake in the middle reaches of the Yarlung Zangbo River, including pollen, grain-size, End-member modelling, total organic carbon, total nitrogen, black carbon (BC), and δ13C of black carbon (δ13CBC), to reconstruct the valley agriculture history and its environmental background over the last 2600 years. There is possible evidence that agriculture was practiced in the Ruba Basin since ca. 2000 cal yr BP, while it flourished after ca. 500 cal yr BP, as represented by increases in the pollen abundance and frequency of cereal Poaceae. Increased Artemisia and Nitraria indicate a regional aridification trend on the southern Tibetan Plateau, while elevated BC concentrations and enriched δ13CBC values reflect intensified human activities. The increase in coarse-grained sediments further suggests enhanced soil erosion under these conditions. Our results confirm that regional drought at ca. 500 cal yr BP (middle Ming Dynasty) did not apparently affect the valley agriculture directly because of advanced cultivation technology and the relatively plentiful water resources.
了解青藏高原广阔河谷的长期土地利用历史和人-环境相互作用过程对青藏高原的和谐发展至关重要。本文利用雅鲁藏布江中游鲁巴湖的花粉、粒度、端元模拟、总有机碳、总氮、黑碳(BC)和黑碳δ13C (δ13CBC)等高分辨率多代记录,重建了流域2600年来的农业历史及其环境背景。有可能的证据表明,鲁巴盆地的农业活动始于约2000 cal yr BP,而在约500 cal yr BP之后,农业活动蓬勃发展,表现为禾本科植物花粉丰度和频率的增加。青藏高原南部蒿属和白刺属的增加反映了区域干旱化趋势,而BC浓度的升高和δ13CBC值的富集反映了人类活动的加剧。粗粒沉积物的增加进一步表明在这些条件下土壤侵蚀加剧。研究结果表明,约500 calyr BP(明代中期)的区域干旱对流域农业的直接影响并不明显,这主要是由于流域耕作技术先进,水资源相对丰富。
{"title":"Valley agriculture in the middle reaches of the Yarlung Zangbo River was buffered against the drought event during the last millennium","authors":"Weiyu Cao ,&nbsp;Fang Tian ,&nbsp;Zixin Liu ,&nbsp;Meijiao Chen ,&nbsp;Xianyong Cao","doi":"10.1016/j.catena.2026.109800","DOIUrl":"10.1016/j.catena.2026.109800","url":null,"abstract":"<div><div>Knowledge of the long-term land-use history and human-environment interaction processes in broad valleys is essential for the harmonious development of the Tibetan Plateau. In this study, we analyzed high-resolution multi-proxy records derived from Ruba Lake in the middle reaches of the Yarlung Zangbo River, including pollen, grain-size, End-member modelling, total organic carbon, total nitrogen, black carbon (BC), and δ<sup>13</sup>C of black carbon (δ<sup>13</sup>C<sub>BC</sub>), to reconstruct the valley agriculture history and its environmental background over the last 2600 years. There is possible evidence that agriculture was practiced in the Ruba Basin since ca. 2000 cal yr BP, while it flourished after ca. 500 cal yr BP, as represented by increases in the pollen abundance and frequency of cereal Poaceae. Increased <em>Artemisia</em> and <em>Nitraria</em> indicate a regional aridification trend on the southern Tibetan Plateau, while elevated BC concentrations and enriched δ<sup>13</sup>C<sub>BC</sub> values reflect intensified human activities. The increase in coarse-grained sediments further suggests enhanced soil erosion under these conditions. Our results confirm that regional drought at ca. 500 cal yr BP (middle Ming Dynasty) did not apparently affect the valley agriculture directly because of advanced cultivation technology and the relatively plentiful water resources.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"264 ","pages":"Article 109800"},"PeriodicalIF":5.7,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974011","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}
引用次数: 0
Strategies for predictive digital soil mapping by geophysical, remote sensing and machine learning approaches 基于地球物理、遥感和机器学习方法的预测性数字土壤制图策略
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-12 DOI: 10.1016/j.catena.2026.109822
Gustavo Vieira Veloso , Danilo César de Mello , Lucas Vieira Silva , Elpídio Inácio Fernandes-Filho , Jorge Tadeu Fim Rosas , Fellipe Alcantara de Oliveira Mello , José João Lelis Leal de Souza , Márcio Rocha Francelino , Sara Ramos dos Santos , Francis Henrique Tenório Firmino , Nícolas Augusto Rosin , Gabriel Pimenta Barbosa de Sousa , Tiago Osório Ferreira , Arnaldo Barros e Souza , José A.M. Demattê
<div><div>Pedology, the study of pedogenesis, includes soil classification and mapping. Digital soil mapping (DSM) has evolved from traditional methods to creating comprehensive spatial soil information systems. This advancement is achieved by integrating field and laboratory data with environmental covariates and incorporating new geotechnologies such as geophysical techniques and remote sensing data, alongside machine learning approaches. This integration in DSM provides novel insights into soil survey and mapping, offering detailed information on soil variability both vertically and laterally. It also raises new research questions that traditional pedology may not have addressed. In this study, we proposed and compared three strategies for DSM in Brazil, creating predictive pedological mapping. These strategies integrate data from three geophysical sensors, remote sensing data, relief, and lithology as input in a machine learning approach testing five algorithms. The four proposed strategies were: <em>i)</em> the combined use of geophysical variables and remote sensing data (G + RS + DEM); <em>ii)</em> the use of remote sensing data only (RS + DEM); <em>iii)</em> the use of geophysical variables only (G + DEM) and; iv) relief data (DEM). Lithology and relief were used as common input data in the predictive pedological mapping modeling process for all four strategies. We conducted a statistical analysis to evaluate the models' performance employing the Kruskal-Walli's test, the F1-score, Kappa, Accuracy, Sensitivity, and Specificity. Additionally, the best strategy was chosen based on the Kruskal-Walli's test and Overall Agreement and Disagreement statistical validation method, utilizing the reference map generated by an expert pedologist. Results revealed that the Random Forest algorithm presented the best performance for modeling predictive pedological mapping in all proposed strategies. Among the predictor variables, the Synthetic Soil Image (a synthetic multi-temporal soil image created by selecting and integrating bare soil observations from satellite data to capture key soil properties for mapping and analysis), relief, and geophysical data had the most significant contributions. While variables associated with remote sensing displayed stronger correlations with surface pedological attributes, geophysical variables demonstrated stronger associations with subsurface pedological attributes and diagnostic horizons. The most effective strategies for predictive digital pedological mapping were the G + RS, while the least effective was DEM. The individual performances of G and RS were comparable. The final predictive digital pedological map had a strong correlation with the traditional one, considering the Agreement/Disagreement validation method. The most significant prediction errors occurred in the transitional zones between pedological and lithological classes. Within the predicted classes, the most substantial errors were observed in class
土壤学是研究土壤形成的学科,包括土壤分类和制图。数字土壤制图(DSM)已经从传统的方法发展到创建综合的空间土壤信息系统。这一进步是通过将现场和实验室数据与环境协变量相结合,并结合新的地球物理技术和遥感数据,以及机器学习方法来实现的。这种与DSM的整合为土壤调查和制图提供了新的见解,提供了垂直和横向土壤变异的详细信息。它还提出了传统教育学可能没有解决的新研究问题。在这项研究中,我们提出并比较了巴西DSM的三种策略,创建了预测性土壤学制图。这些策略整合了来自三种地球物理传感器、遥感数据、地形和岩性的数据,作为机器学习方法测试五种算法的输入。提出的四种策略是:i)结合使用地球物理变量和遥感数据(G + RS + DEM);ii)仅使用遥感数据(RS + DEM);iii)仅使用地球物理变量(G + DEM);iv)地形数据(DEM)。在所有四种策略的预测土壤学填图建模过程中,岩性和地形被用作共同的输入数据。我们采用Kruskal-Walli检验、f1评分、Kappa、准确性、敏感性和特异性对模型的性能进行了统计分析。此外,根据Kruskal-Walli测试和总体一致性和不一致性统计验证方法,利用专家土壤学家生成的参考地图选择最佳策略。结果表明,随机森林算法在预测土壤学制图方面的建模效果最好。在预测变量中,合成土壤图像(通过从卫星数据中选择和整合裸土观测数据来捕获关键土壤属性以进行制图和分析而生成的合成多时相土壤图像)、地形和地球物理数据的贡献最大。遥感相关变量与地表土壤学属性的相关性较强,而地球物理变量与地下土壤学属性和诊断层位的相关性较强。预测数字土壤学制图最有效的策略是G + RS,而最不有效的策略是DEM。G和RS的个人表现具有可比性。考虑到协议/分歧验证方法,最终预测的数字土壤学图与传统的土壤学图有很强的相关性。最显著的预测误差发生在土壤学和岩性之间的过渡带。在预测的类别中,在具有相似形态属性(如纹理、颜色和含氧矿物学)的类别中观察到最大的错误。
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引用次数: 0
The influence of soil physico-chemical properties and land uses on organic carbon stocks in contrasting Mediterranean pedosystems 土壤理化性质和土地利用方式对地中海不同土壤系统有机碳储量的影响
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-12 DOI: 10.1016/j.catena.2025.109746
Antonio Ganga , Ludmila Ribeiro Roder , Iraê Amaral Guerrini , Rafael Barroca Silva , Emmanuele Farris , Alfredo Maccioni , Gian Franco Capra
Soil plays a pivotal role in the processes and behavior of the global carbon cycle, with soil organic carbon stocks (SOCs) representing the largest terrestrial carbon (C) pool. Mediterranean areas are among the world's biodiversity hotspots for conservation priorities. The island of Sardinia (southern Italy), due to the rare convergence of environmental and historical land use factors, is characterized by extremely peculiar soil conditions. This study investigated SOCs and their behavior in two contrasting Mediterranean pedosystems: Cambisols developed on granite (the most common pedosystem) vs Luvisols on limestone (one of the rarest), featuring different land covers with a gradient varying from agricultural (vineyard at different ages) to more natural areas (remnants of natural potential vegetation cover). Several soil physico-chemical features were assessed. An ANOVA was conducted to determine significant differences (p < 0.05) between and among investigated horizons and land uses. The variability and complex multiple relationships were analyzed by factor (FA) and principal component analysis (PCA). Results revealed that areas with natural or near-natural features exhibited significantly higher SOCs compared to more intensively managed and human-influenced land covers. Interestingly, the two investigated pedosystems, originating from diverse substrates and thus contributing to different soil formation processes, are characterized by significantly different SOC amounts and behaviors. Overall, soil features have a greater influence on SOCs than usually expected and previously reported. Consequently, this study suggests that SOC investigations, if not conducted in conjunction with a thorough soil analysis, may lead to inaccurate or misleading outcomes and subsequent conclusions.
土壤在全球碳循环过程和行为中起着关键作用,土壤有机碳储量(soc)是最大的陆地碳库。地中海地区是世界上生物多样性保护的热点地区之一。撒丁岛(意大利南部),由于罕见的环境和历史土地利用因素的融合,具有极其特殊的土壤条件。本研究调查了两种截然不同的地中海土壤系统中的SOCs及其行为:在花岗岩(最常见的土壤系统)上发育的cambisol与石灰岩(最稀有的土壤系统之一)上发育的luvisol,具有不同的土地覆盖,从农业(不同年龄的葡萄园)到更自然的地区(自然潜在植被覆盖的残余)的梯度不同。评估了几种土壤物理化学特征。采用方差分析(ANOVA)确定被调查层位和土地利用之间的显著差异(p < 0.05)。采用因子分析(FA)和主成分分析(PCA)对变异率和复多元关系进行分析。结果显示,具有自然或接近自然特征的地区的土壤有机碳含量明显高于管理更为密集和受人类影响的土地覆盖。有趣的是,这两种土壤系统源自不同的基质,因此对不同的土壤形成过程有不同的贡献,其特征是有机碳含量和行为显著不同。总体而言,土壤特征对soc的影响比通常预期和先前报道的要大。因此,本研究表明,如果不结合彻底的土壤分析进行有机碳调查,可能会导致不准确或误导性的结果和随后的结论。
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引用次数: 0
Comparison of alternative chemical density and physical methods for isolating soil organic matter fractions in high carbon soils 化学密度法与物理方法分离高碳土壤有机质组分的比较
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-12 DOI: 10.1016/j.catena.2025.109788
Hamond Motsi , Catherine E. Clarke , Ailsa G. Hardie , Michele L. Francis , Alastair J. Potts
Soils beneath Portulacaria afra (spekboom) within the evergreen Albany Subtropical Thicket of South Africa contain unusually high soil organic carbon concentrations despite the biome's semi-arid climate. Fractionation of soil organic matter (SOM) into particulate organic matter (POM) and mineral-associated organic matter (MAOM) provide insights into the mechanisms of soil carbon (C) accumulation. Conventionally, sodium polytungstate (SPT) is used in density fractionation, but its high-cost limits sample numbers. Cheaper, reliable alternatives to SPT are therefore required to understand the C dynamics of spekboom and other high-C soils. Particle size (PS) sieving has been proposed as cheaper alternative to density fractionation, but its application in spekboom soils is unknown. This study compared SPT with PS fractionation and density fractionation using cheaper, highly soluble salts: sodium iodide (NaI), potassium iodide (KI), and calcium chloride (CaCl2). The relationship between permanganate oxidizable carbon (POXC) and POM-C was also explored. High C (>5 %) topsoils with a range of POM:MAOM ratios from the spekboom thicket, a pine forest, a wetland, and a grassland were evaluated. Results demonstrated that fractionation methods significantly affected (p < 0.05) fractions in each soil. NaI showed similar performance to SPT in SOM fractionation followed by KI. The PS method used in this study compared poorly to SPT, underestimating POM-C (34–39 %) and overestimating MAOM-C (39–51 %) in high POM soils (spekboom and pine forest soils) with the opposite effect in lower POM soils (wetland and grassland). The CaCl2 method was also not ideal due to salt entrainment. Some soils did not conform to the expected linear relationship between POM-C and POXC demonstrating that POXC method is not always suitable. Thus, NaI is proposed as a cheaper alternative to replace SPT in density fractionation of spekboom soils. Findings from this study have significant implications in appropriate method selection for SOM fractionation of high C soils.
南非奥尔巴尼亚热带常绿灌丛内的马齿苋(斑马草)下的土壤含有异常高的土壤有机碳浓度,尽管该生物群落处于半干旱气候。土壤有机质(SOM)分异为颗粒有机质(POM)和矿物相关有机质(MAOM),为土壤碳(C)积累机制的研究提供了新的思路。传统上,多钨酸钠(SPT)用于密度分馏,但其高成本限制了样品数量。因此,需要更便宜、更可靠的SPT替代品来了解spekboom和其他高碳土壤的碳动态。粒径(PS)筛分被认为是密度分选的一种更便宜的选择,但其在爆炸土壤中的应用尚不清楚。本研究将SPT与PS分馏和密度分馏进行了比较,这些分馏采用了更便宜、高可溶性的盐:碘化钠(NaI)、碘化钾(KI)和氯化钙(CaCl2)。探讨了高锰酸盐可氧化碳(POXC)与POM-C之间的关系。研究了高C (> 5%)表土的POM:MAOM比值范围,分别来自胡木灌丛、松林、湿地和草地。结果表明,不同的分馏方法对各土壤组分有显著影响(p < 0.05)。NaI与SPT在SOM分选中的表现相似,其次是KI。本研究中使用的PS方法与SPT相比效果较差,在高POM土壤(石竹林和松林土壤)中低估了POM- c(34 - 39%),高估了MAOM-C(39 - 51%),而在低POM土壤(湿地和草地)中则相反。由于盐夹带,CaCl2方法也不理想。部分土壤POM-C与POXC之间不符合预期的线性关系,说明POXC方法并不总是适用的。因此,NaI被认为是一种更便宜的替代SPT的方法。本研究结果对高碳土壤SOM分馏方法的选择具有重要意义。
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引用次数: 0
Development and application of a distributed hydrology and soil erosion model in a semi-arid catchment, China 半干旱流域分布式水文水土流失模型的建立与应用
IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-01-12 DOI: 10.1016/j.catena.2026.109811
Ang Lu , Peng Tian , Guangju Zhao , Xingmin Mu , Xiaojing Tian , Chaojun Gu , Lin Yang , Junjian Fan
Soil erosion models are efficient tools for quantifying regional soil erosion, estimating long-term soil erosion rates, and assessing the effects of land surface changes on soil erosion and sediment yield. These models offer significant advantages over costly and geographically limited field monitoring. These models are crucial for understanding hydrological and sediment dynamic on the Loess Plateau, which is highly vulnerable to soil erosion due to its complex topography, high erodible loess and frequent storms. To address the need of event-based simulations that can capture the impacts of widespread conservation practices, this study developed a novel distributed hydrology and soil erosion model. The model couples the Vertical Mixed Runoff Model (VMM) with the Morgan-Morgan-Finney (MMF) erosion model and integrates a specialized module to explicitly simulate the interception effects of terraces, which are a key soil and water conservation measure in the region. This integrated model simulates three key components at the flood-event scale, including runoff generation, soil erosion, and sediment transport. The model was calibrated and validated using data from nine flood events in the Xichuanhe catchment, a typical tributary of the Yanhe River on the Loess Plateau. The results demonstrate a high level of accuracy in runoff simulation, achieving Nash-Sutcliffe Efficiency (NSE) coefficients of 0.82 and 0.67 for the calibration and validation periods, respectively. Relative Peak Errors (RPE) were consistently below 23%, indicating a close match between simulated and observed hydrographs. For sediment simulation, the model effectively captured the overall dynamics with an average NSE of 0.80 and RPE between 2.3% and 18.7% during calibration periods, though with some discrepancies during validation periods. The model confirms the significant role of terraces in reducing runoff and sediment yield. On average, terraces could reduce total runoff volume by 12.1% and sediment yield by 17.2% during flood events. These findings demonstrated the model's effectiveness for hydrological and soil erosion simulation and its potential in evaluating soil and water conservation measures on the Loess Plateau. The model can offer a valuable tool for quantitatively assessing the effectiveness of soil and water conservation measures in this critical region and similar semi-arid environments.
土壤侵蚀模型是量化区域土壤侵蚀、估算长期土壤侵蚀速率以及评估地表变化对土壤侵蚀和产沙影响的有效工具。这些模型相对于昂贵且地理位置有限的现场监测具有显著优势。这些模型对于了解黄土高原的水文和泥沙动力学至关重要,由于其复杂的地形,高可蚀性黄土和频繁的风暴,黄土高原极易受到土壤侵蚀。为了满足基于事件的模拟的需求,能够捕捉广泛的保护措施的影响,本研究开发了一个新的分布式水文和土壤侵蚀模型。该模型将垂直混合径流模型(VMM)与Morgan-Morgan-Finney侵蚀模型(MMF)耦合在一起,集成了一个专门的模块,明确模拟了该地区重要的水土保持措施梯田的截流效果。这个综合模型在洪水事件尺度上模拟了三个关键组成部分,包括径流产生、土壤侵蚀和沉积物运输。利用黄土高原延河典型支流西川河流域9次洪水事件的数据对模型进行了标定和验证。结果表明,径流模拟具有较高的准确性,在校准和验证期间,Nash-Sutcliffe效率(NSE)系数分别为0.82和0.67。相对峰值误差(RPE)始终低于23%,表明模拟和观测的水文曲线非常接近。对于泥沙模拟,该模型在校准期间有效捕获了整体动态,平均NSE为0.80,RPE在2.3%至18.7%之间,尽管在验证期间存在一些差异。该模型证实了梯田在减少径流和产沙量方面的重要作用。平均而言,在洪水期间,梯田可以减少12.1%的总径流量和17.2%的产沙量。这些结果证明了该模型在黄土高原水文和土壤侵蚀模拟中的有效性以及在水土保持措施评价中的潜力。该模型可为定量评价该关键区域及类似半干旱环境下水土保持措施的有效性提供有价值的工具。
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