Geoderma最新文献

{"title":"Achieving the goal of the “4‰ initiative” and agricultural sustainability by co-incorporating rice straw and Chinese milk vetch for rice production in southern China","authors":"Yu Zhang ,&nbsp;Wangwang Zhang ,&nbsp;Fei Xu ,&nbsp;Yuhang Qin ,&nbsp;Hao Chen ,&nbsp;Yuhong Wu ,&nbsp;Shuo Li","doi":"10.1016/j.geoderma.2025.117333","DOIUrl":"10.1016/j.geoderma.2025.117333","url":null,"abstract":"<div><div>The co-incorporation of rice straw (RS) and Chinese milk vetch (CMV) has been suggested as an optimized agronomic management strategy to improve soil organic carbon (SOC) storage and agricultural sustainability. This study was designed to evaluate effects of co-incorporating RS and CMV (RS-CMV) on rice grain yields, sustainable yield index (SYI), economic benefit, the sequestration and stratification of SOC, carbon fractions, and the achievement of the 4 ‰ initiative, especially under lowering 30 % N rate in southern China. Four-year field experiments were designed and implemented with four treatments: no straw incorporation as the control (CK), RS incorporation (RSI), RS-CMV, and lowering 30 % N rate based on RS-CMV (RS-CMVL). Results showed that the RS-CMV exhibited the largest annual average rice grain yields, SYI, and economic profit, higher by 6.2 ∼ 9.4 %, 6.4 ∼ 9.2 %, and 6.4 ∼ 16.8 %, respectively, than those of CK and RSI, and had no obvious discrepancy with the RS-CMVL. Throughout the 0–40 cm soil profile, the RS-CMV and RS-CMVL significanly enhanced SOC storage by 12.5 % and 12.0 % relative to the CK, by9.1 % and 8.6 % relative to the RSI, and by 10.0 % and 9.6 % relative to the pre-experimental soil (2018), respectively. The C sequestered rate per 1000 reached 25.1 ‰ year⁻¹ and 23.9 ‰ year⁻¹ under RS-CMV and RS-CMVL, while no difference existed between RS-CMVL and RS-CMV. As well, the RS-CMV led to the highest storages of soil labile organic carbon fractions (LOCs), especially the highly labile organic carbon, while the RS-CMVL sequestered the largest recalcitrant organic carbon throughout the entire 0–40 cm soil layer. The RS-CMV increased the stratification ratio of LOCs, while no obvious discrepancy was observed when evaluating the SR of SOC. What’s more, the cumulative carbon and nitrogen inputs are highly correlated with the storages of SOC and its LOCs, and the SYI. The co-incorporation of RS and CMV, even under lowering 30 % N rate, was mainly responsible for the improvements of rice grain yields, sustainable yield index, economic profit, SOC and its fractions’ storage, and therefore could enhance SOC sequestration and agricultural sustainability, effectively achieving the goal of the “4‰ initiative”.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117333"},"PeriodicalIF":5.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927518","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":"Synergistic effects of microbial networks, glomalin-related soil protein, and humic substances jointly enhance the stability of soil aggregates: Evidence from converting pure Pinus massoniana plantations into uneven-aged mixed forests","authors":"Haimei Huang ,&nbsp;Xueman Huang ,&nbsp;Xinyu Zhu ,&nbsp;Yi Wang ,&nbsp;JinLiu Yan ,&nbsp;Jiajun Li ,&nbsp;Angang Ming ,&nbsp;Yeming You","doi":"10.1016/j.geoderma.2025.117334","DOIUrl":"10.1016/j.geoderma.2025.117334","url":null,"abstract":"<div><div>The stability of soil aggregates (SSA) serves as a sensitive indicator of soil fertility and plays a crucial role in determining resistance to erosion. However, the synergistic mechanisms of microorganisms, glomalin-related soil protein (GRSP), and humic substances (HS) by which SSA is altered through the conversion of <em>Punus massoniana</em> monoculture plantations into mixed broadleaf-conifer plantations remain unclear. We applied three different soil aggregate analysis methods, combined with high-throughput sequencing regions, to examine the impact of plantation diversification on SSA and microbial community structure. Specifically, we investigated a mixed plantation (MP) composed of two uneven-aged tree species (<em>P. massoniana</em> and <em>Castanopsis hystrix</em>) and a multiple-species mixed plantation (MMP) composed of several uneven-aged tree species (<em>P. massoniana</em>, <em>Castanopsis hystrix</em>, <em>Michelia hedyosperma</em>, <em>Erythrophleum fordii</em>, and <em>Quercus griffithii</em>). These were compared to a pure plantation (PP) of <em>P. massoniana</em> as the control. We also analyzed HS components and GRSP contents. Our results showed that the mean weight diameter (MWD) index and the proportion of soil macroaggregates (&gt;0.25 mm) were significantly higher, while the new aggregate stability index (AS) was significantly lower in MP and MMP than in PP. Chao1 index values for bacteria (0–10 and 10–20 cm soil layers) and fungi (0–10 cm soil layer) were significantly higher in the MMP than in MP and PP. Moreover, the MP and MMP had greater HS component and GRSP levels than the PP plantations. The relative abundance of <em>Chloroflexi</em>, <em>Gemmatimonadota</em>, <em>Ascomycota</em>, and <em>Kickxellomycota</em> primary affected the particle size distribution of aggregates. PLS-PM revealed that higher litterfall mass (LF) and fine root biomass (FR) in mixed broadleaf-conifer plantations enhanced microbial diversity and network complexity via soil C and N accumulation, which directly stimulates GRSP secretion and HS formation, thereby enhancing SSA. Therefore, the introduction of broadleaf species into pure <em>P. massoniana</em> plantations is an effective strategy for preventing land degradation by preserving the complexity of belowground communities. Taken as a whole, this study provides new insights into the intricate interplay of plant–microbe-soil that will contribute to developing plantation management strategies to enhance stability of soil structure.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117334"},"PeriodicalIF":5.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917927","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 conservation tillage breaks the plough pan and promotes the development of preferential flow","authors":"Jinze Han ,&nbsp;Jianye Li ,&nbsp;Qiang Chen ,&nbsp;Xingyi Zhang","doi":"10.1016/j.geoderma.2025.117329","DOIUrl":"10.1016/j.geoderma.2025.117329","url":null,"abstract":"<div><div>Macropores and preferential flow critically regulate soil hydrological functions and ecosystem services in agricultural systems. With the intensification of global soil degradation, especially as conventional tillage (CK) exacerbates soil compaction, conservation tillage (CT) has emerged as a crucial strategy for restoring soil quality. However, the ability of CT to alleviate soil compaction and regulate macropore structure and preferential flow remains unclear. This study aimed to clarify how long-term CT alleviates compaction-driven constraints on macropore structure and preferential flow in black soil. We selected an 18-year located experimental field on a typical Phaeozem (clay loam, mixed, mesic) in black soil region of Northeast China. X-ray computed tomography (25 μm resolution) and dye tracer techniques (1.5 g L⁻¹ Brilliant Blue solution) were used to quantify macropores and preferential flow paths in 0–50 cm soil layers. Independent samples <em>t</em>-test (assuming equal variances and normal distributions) was used to compare two treatments. Correlation analysis was also performed to assess variable relationships. Path analysis via structural equation modeling to elucidate direct and indirect effects, and CMIN/DF, GFI, RMSEA were used to evaluate model fit. The results revealed that CT effectively alleviated soil compaction by breaking the plough pan and optimizing pore structure. Compared with CK, CT significantly enhanced macroporosity (500–1000 μm) by 4.8 times and pore connectivity by 21.3 times in the critical 10–20 cm layer, while reducing bulk density by 9.4 % and pore tortuosity by 2.1 % in this layer (<em>p</em> &lt; 0.05). Notably, CT generated continuous pore and staining paths extending below 20 cm, thereby alleviating the plough pan barrier. These structural improvements drove preferential flow development, evidenced by a 21.5 % reduction in dye variation coefficient and enhanced soil dye coverage. Correlation analysis showed dye coverage correlated strongly with soil physicochemical properties and macropore indexes, especially 500–1000 μm macroporosity (<em>p</em> &lt; 0.05). Path analysis further confirmed CT governed preferential flow patterns through macroporosity enhancement and pore tortuosity reduction (<em>p</em> &lt; 0.001). This study demonstrates that CT restructures compacted soil into hydraulically active systems through breaking plough pan and improving pore structure, providing mechanistic insights for combating soil degradation in ecologically vulnerable black soil regions.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117329"},"PeriodicalIF":5.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911910","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":"Forest soil respiration showed a saturation threshold in response to increasing nitrogen deposition: Evidence from a mesocosm experiment","authors":"Renshan Li ,&nbsp;Xinkuan Han ,&nbsp;Yanfeng Bai ,&nbsp;Fangfang Zhang ,&nbsp;Honggang Sun ,&nbsp;Weidong Zhang ,&nbsp;Qingpeng Yang ,&nbsp;Silong Wang","doi":"10.1016/j.geoderma.2025.117331","DOIUrl":"10.1016/j.geoderma.2025.117331","url":null,"abstract":"<div><div>Whether there is a N saturation threshold for the response of soil respiration (R_s) to increasing nitrogen (N) deposition remains unclear in forest ecosystems. In this work, a simulated N deposition experiment involving five levels of N addition (0 to 44.8 g N m⁻² yr⁻¹) was performed in a mesocosm experiment platform with young Chinese fir (<em>Cunninghamia lanceolata</em>) trees planted on it. R_s and its autotrophic (R_a) and heterotrophic (R_h) components were measured for four years, and the N saturation threshold was estimated using a quadratic-plus-plateau model. With increasing rate of N addition, R_s and R_a first increased dramatically until the critical N addition rate of 12.2 and 13.6 g N m⁻² yr⁻¹, respectively, and then leveled off. A similar non-linear increase in tree growth was also detected with N addition. In contrast, R_h continued to decrease as N addition increases, primarily a consequence of the N-increased recalcitrance of soil organic C, as evidenced by the decreased gram-negative bacteria biomass coupled with increased polyphenol oxidase activity. Our results indicated (1) that there was a N saturation threshold for the soil respiration, before which respiration rate increased with N addition and such an increase vanished thereafter; and (2) that the N saturation threshold of soil respiration was driven by autotrophic rather than heterotrophic respiration. This study advanced our understanding of the response of forest carbon cycle to growing N deposition.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117331"},"PeriodicalIF":5.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911909","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":"Soil modulation of Quaternary glacial-interglacial cycles","authors":"Gregory J. Retallack","doi":"10.1016/j.geoderma.2025.117320","DOIUrl":"10.1016/j.geoderma.2025.117320","url":null,"abstract":"<div><div>Sinusoidal Milankovitch orbital variations do not match the sawtooth pattern of descent into glaciation followed by abrupt termination to greenhouse interglacials seen in records of marine shale, speleothems, and ice cores. Also, climatic response for the past million years has fallen on the weakest Milankovitch forcing of eccentricity (100 ka). Strong obliquity forcings (42 ka) dominate early Pleistocene and Tertiary paleoclimatic records. Both the saw-tooth pattern and mid-Pleistocene switch have been blamed on thermal inertia of large ice sheets or Antarctic bottom water, but this study advances a new pedogenic hypothesis. Interglacial Oxisols and Mollisols were unidirectional engines of atmospheric carbon consumption, albedo, and transpiration, that became more effective and resilient in resisting orbital and volcanic terminations due to grass-grazer coevolution. Diminished carbon consumption in a world of widespread Gelisols and Aridisols allowed abrupt glacial termination by accumulated volcanic CO₂.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117320"},"PeriodicalIF":5.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906826","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":"Stimulatory effects of nutrient addition on microbial necromass C formation depend on soil stoichiometry","authors":"Yihui Chen ,&nbsp;Shutang Liu ,&nbsp;Yaping Huang ,&nbsp;Qiong Xiao ,&nbsp;Xiaorong Zhao ,&nbsp;Lei Wu ,&nbsp;Wenju Zhang","doi":"10.1016/j.geoderma.2025.117323","DOIUrl":"10.1016/j.geoderma.2025.117323","url":null,"abstract":"<div><div>Nutrient availability strongly influences soil organic carbon (SOC) accumulation through microbial necromass C (MNC) formation. However, the effects of nutrient addition on regulating MNC formation in soils with distinct stoichiometric ratios are not well understood. Soil samples were collected from a long-term (&gt;40 years) wheat-maize rotation field trial, without and with nutrient management, which exhibited high and low C:nutrient (N and P) ratios, respectively. These soils were incubated with ¹³C-labeled glucose (labile C) and nutrients (N and/or P) for 63 days. A greater proportion of labile C was converted into MNC, especially bacterial necromass C, in the low C:nutrient soil (averaging 32 %) than in the high C:nutrient soil (averaging 25 %). In the high C:nutrient soil, N and/or P addition significantly increased newly formed MNC (¹³C-MNC) by 8–33 %, whereas in the low C:nutrient soil, N and P addition had a marginal and negative effect on ¹³C-MNC, respectively. The ¹³C-MNC content was negatively correlated with resource stoichiometric ratios (dissolved organic C (DOC):mineral N, microbial C:N imbalance, and DOC:available P), and enzyme activities (β-1,4-glucosidase, leucine amino peptidase, N-acetyl-glucosaminidase, and alkaline phosphatase). These results suggest that the increase in MNC is primarily due to the alleviation of N and P limitations. Furthermore, the ¹³C-MNC content was positively correlated with the ¹³C-phospholipid fatty acids content, indicating that enhanced microbial anabolism, especially bacterial anabolism, promoted MNC formation. Collectively, our findings emphasize the critical role of soil stoichiometry in regulating microbial metabolism and MNC formation in response to nutrient addition. These insights have significant implications for optimizing nutrient management to enhance SOC sequestration in arable soil.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117323"},"PeriodicalIF":5.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904318","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":"A BOX-YOLOv8 framework for automated hyperspectral core analysis","authors":"Hongyan Zhu ,&nbsp;Anjie Li ,&nbsp;Chengzhi Lin ,&nbsp;Shuai Qin ,&nbsp;Junhao Xie ,&nbsp;Jackey J.K. Chai ,&nbsp;Russell Rogers ,&nbsp;Jun-Li Xu","doi":"10.1016/j.geoderma.2025.117325","DOIUrl":"10.1016/j.geoderma.2025.117325","url":null,"abstract":"<div><div>Hyperspectral imaging (HSI) offers significant potential for soil and geological core analysis, yet challenges of large data volume and complex processing hinder its broader usage. To tackle these issues, we introduce an innovative automated framework for hyperspectral soil and core analysis. This framework leverages a synergistic integration of deep learning models—specifically BOX-YOLOv8, SAM2, and a custom MLP—to achieve efficient, automated end-to-end processing. The framework identifies core boxes (BOX-YOLOv8, achieving 99.5% [email protected]), precisely segments these boxes for geometric correction (SAM2), and segments core/soil material from the background using spectral differences (MLP). This automated pipeline significantly improves processing time compared to manual methods. A key innovation is the accurate (sub-1-pixel) spatial transformation enabling the fusion of multi-sensor data (SWIR, MWIR, RGB) for comprehensive borehole characterization. Furthermore, the framework facilitates detailed spectral analyses, including mineral mapping and spectral library matching, advancing soil-related analysis by providing insights into composition and structure. Overall, this deep learning-driven framework significantly automates soil/core analysis, improves assessment speed, and enhances decision-making in resource exploration, soil survey, and environmental studies.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117325"},"PeriodicalIF":5.6,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899842","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":"Priming effect of labile carbon on the decomposition of recalcitrant nitrogen via heterotrophic nitrification in a subtropical acidic forest soil","authors":"Siwen Du ,&nbsp;Yi Zhang ,&nbsp;Wenxuan Jiang ,&nbsp;Jinbo Zhang ,&nbsp;Zucong Cai ,&nbsp;Christoph Müller","doi":"10.1016/j.geoderma.2025.117327","DOIUrl":"10.1016/j.geoderma.2025.117327","url":null,"abstract":"<div><div>Recalcitrant organic nitrogen (N) decomposition is crucial for soil fertility and ecosystem function. Although it is well-established that plant root exudates, containing various labile carbon (C) sources, can stimulate recalcitrant N decomposition, the specific contribution of different labile C in driving this process through heterotrophic nitrification have yet to be fully elucidated. This study investigated the effects of simple C treatments—i.e., citric acid (CA), catechol (CT), and glucose (GLU); as well as combined carbon and nitrogen (C + N) treatments—i.e., glucose + ammonium sulphate (GSA), glucose + glycine (GA), glucosamine (ASS), and glycine (GLY)—on recalcitrant organic N heterotrophic nitrification (<em>O_Nrec</em>) and mineralization (<em>M_Nrec</em>) in a subtropical acidic forest soil. Inorganic nitrogen (as ammonium sulfate, SA) was included as a reference treatment for glycine (N treatment). The <em>Ntrace</em> model was employed to estimate the gross rate of <em>O_Nrec</em> and <em>M_Nrec</em>. Results unveiled that the highest <em>O_Nrec</em> developed in response to the C + N treatments (ranging from 0.143 to 1.953 mg N kg⁻¹ d<em>⁻</em>¹), followed by the N treatments (0.043 mg N kg⁻¹ d⁻¹), C treatments (ranging from 0.003 to 0.009 mg N kg⁻¹ d⁻¹), and the control (CK) (0.003 mg N kg⁻¹ d⁻¹). The positive impact of C + N treatments on <em>O_Nrec</em> was primarily driven by an increase in soil dissolved organic carbon (DOC), likely due to enhanced relative activity of C-:N-hydrolyzing extracellular enzymes (e.g. (CBH + BG):LAP)). Furthermore, the increased abundance of fungi and potential heterotrophic nitrifiers (e.g., <em>Penicillium</em>, <em>Trichoderma</em>, and <em>Mortierella</em>) in the C + N treatments also contributed to their higher <em>O_Nrec</em> rates. Conversely, the highest <em>M_Nrec</em> was observed in the N treatments (53.664 mg N kg⁻¹ d<em>⁻</em>¹), followed by the C + N treatments (ranging from 25.438 to 59.088 mg N kg⁻¹ d<em>⁻</em>¹), simple C treatments (ranging from 0.194 to 0.690 mg N kg⁻¹ d<em>⁻</em>¹), and CK (0.587 mg N kg⁻¹ d<em>⁻</em>¹). Unlike <em>O_Nrec</em>, <em>M_Nrec</em> was primarily driven by an increase in total nitrogen (TN), which fulfilled the N demand for most soil microorganisms. These findings redefined our understanding of recalcitrant N decomposition through the pathway of <em>O_Nrec</em> and <em>M_Nrec</em>, especially in plant-soil ecosystems.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"458 ","pages":"Article 117327"},"PeriodicalIF":5.6,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899727","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":"Response to the letter by Xiaoming Zou on “Earthworms as mutualists rather than predators of soil microorganisms”","authors":"Manuel Blouin,&nbsp;Frédérique Reverchon,&nbsp;Isabelle Barois,&nbsp;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}