Pub Date : 2026-02-12DOI: 10.1016/j.geoderma.2026.117725
Siyu Wang, Wei Hu, Heather Jenkins, Dougal Stalker, Craig Tregurtha, Rogerio Cichota, Henry Wai Chau, Jim Moir, Karin Müller, Brendon Malcolm
{"title":"Wheel traffic compaction intensified with orchard age while hydraulic responses were partially decoupled in the top 30 cm","authors":"Siyu Wang, Wei Hu, Heather Jenkins, Dougal Stalker, Craig Tregurtha, Rogerio Cichota, Henry Wai Chau, Jim Moir, Karin Müller, Brendon Malcolm","doi":"10.1016/j.geoderma.2026.117725","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117725","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"91 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160811","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}
Pub Date : 2026-02-11DOI: 10.1016/j.geoderma.2026.117712
Christian Vogel, Julian Helfenstein, Michael Massey, Ruben Kretzschmar, Ulrich Schade, René Verel, Oliver Chadwick, Emmanuel Frossard
{"title":"Spectroscopic analysis shows crandallite can be a major component of soil phosphorus","authors":"Christian Vogel, Julian Helfenstein, Michael Massey, Ruben Kretzschmar, Ulrich Schade, René Verel, Oliver Chadwick, Emmanuel Frossard","doi":"10.1016/j.geoderma.2026.117712","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117712","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"64 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152893","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}
Pub Date : 2026-02-11DOI: 10.1016/j.geoderma.2026.117722
Paula Godinho Ribeiro, Gabriel Negreiros Salomão, Sérgio Henrique Godinho Silva, Gabriel Caixeta Martins, Luiz Roberto Guimarães Guilherme, Marcio Sousa da Silva, Silvio Junio Ramos, Roberto Dall’Agnol
{"title":"Regional patterns of soil magnetic susceptibility and color in the Itacaiúnas River Watershed: Geological influences and practical applications","authors":"Paula Godinho Ribeiro, Gabriel Negreiros Salomão, Sérgio Henrique Godinho Silva, Gabriel Caixeta Martins, Luiz Roberto Guimarães Guilherme, Marcio Sousa da Silva, Silvio Junio Ramos, Roberto Dall’Agnol","doi":"10.1016/j.geoderma.2026.117722","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117722","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"22 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160814","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}
Pub Date : 2026-02-11DOI: 10.1016/j.geoderma.2026.117715
Dennis Baulechner, Katharina John, Andrey Zaitsev, Ruslan Saifutdinov, Volkmar Wolters
{"title":"The impact of grazing and fertilization intensity on functional trait diversity and assembly processes of soil mesofauna in grasslands","authors":"Dennis Baulechner, Katharina John, Andrey Zaitsev, Ruslan Saifutdinov, Volkmar Wolters","doi":"10.1016/j.geoderma.2026.117715","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117715","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"246 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160815","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}
The world’s largest ecosystem restoration via intensive removals of invasive smooth cordgrass (Spartina alterniflora) is being implemented in coastal China, potentially exerting a large impact on soil biogeochemical cycles of greenhouse gases including methane (CH4). However, the degree to which CH4 emission and its environmental controls change with such anthropogenic disturbances has been rarely assessed with direct empirical evidence. To quantify these disturbance effects, we utilized the eddy covariance (EC) approach to continuously measure net CH4 exchange from Jul. 2022 to Oct. 2023, covering both pre- and post-removal periods, in a disturbed coastal wetland of Southeast China experiencing an intensive cordgrass removal in late Oct. 2022. Our analyses, based on this unique EC dataset of high-frequency (30-min) time series CH4 fluxes, revealed that (a) the removal caused a pulse of CH4 emission peaking one month later up to 0.76 g CH4 m−2 d-1, with the mean post-removal emission over ten times that of the pre-removal level (0.03 g CH4 m−2 d-1); (b) the removal intensified the controls of tidal inundation and pumping on CH4 fluxes, showing much stronger pumping effects within two months following the disturbances; (c) the removal also enlarged the temperature sensitivity of CH4 emission, leading to larger daytime emission especially at afternoon hours; (d) the combination of enhanced tidal impacts and temperature dependence thus promoted the diel variability of CH4 fluxes during the post-removal period. These results suggest that coastal restoration via intensive cordgrass removals boosts both the magnitude and the diel variability of CH4 emission, highlighting the necessity of better understanding the climate impact of restoration activities. Future longer flux data with extended years are needed to further assess potential regime shift in soil CH4 biogeochemistry and long-term evolution of such unintended environmental costs of the restoration.
中国沿海地区正在实施世界上最大规模的生态系统修复,通过大量清除入侵的互花米草(Spartina interniflora),可能对包括甲烷(CH4)在内的温室气体的土壤生物地球化学循环产生重大影响。然而,很少有直接的经验证据评估CH4排放及其环境控制随这种人为干扰而变化的程度。为了量化这些干扰效应,我们利用涡动相关(EC)方法连续测量了2022年7月至2023年10月期间中国东南部沿海受干扰湿地的净CH4交换,涵盖了去除前和去除后的时期,该湿地在2022年10月下旬经历了一次密集的网茅去除。基于这一独特的EC高频(30分钟)时间序列CH4通量数据集,我们的分析表明:(a)去除导致CH4排放脉冲在一个月后达到峰值0.76 g CH4 m−2 d-1,去除后的平均排放量是去除前水平(0.03 g CH4 m−2 d-1)的十倍以上;(b)清除加强了潮汐淹没和抽吸对CH4通量的控制,在扰动发生后的两个月内,抽吸效果明显增强;(c) CH4排放的温度敏感性增大,导致白天特别是下午CH4排放增大;(d)增强的潮汐影响和温度依赖性共同促进了CH4通量在去除后时期的日变率。这些结果表明,通过密集清除网茅进行的海岸恢复增加了CH4排放的幅度和日变率,突出了更好地了解恢复活动对气候影响的必要性。未来需要更长时间的通量数据,以进一步评估土壤CH4生物地球化学的潜在状态变化以及恢复过程中这种意外环境成本的长期演变。
{"title":"Intensive smooth cordgrass removal strengthens tidal and temperature impacts on methane emission","authors":"Yueting Deng, Ruichen Lin, Han Yang, Hui Luo, Lulu Song, Xudong Zhu","doi":"10.1016/j.geoderma.2026.117719","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117719","url":null,"abstract":"The world’s largest ecosystem restoration via intensive removals of invasive smooth cordgrass (<ce:italic>Spartina alterniflora</ce:italic>) is being implemented in coastal China, potentially exerting a large impact on soil biogeochemical cycles of greenhouse gases including methane (CH<ce:inf loc=\"post\">4</ce:inf>). However, the degree to which CH<ce:inf loc=\"post\">4</ce:inf> emission and its environmental controls change with such anthropogenic disturbances has been rarely assessed with direct empirical evidence. To quantify these disturbance effects, we utilized the eddy covariance (EC) approach to continuously measure net CH<ce:inf loc=\"post\">4</ce:inf> exchange from Jul. 2022 to Oct. 2023, covering both pre- and post-removal periods, in a disturbed coastal wetland of Southeast China experiencing an intensive cordgrass removal in late Oct. 2022. Our analyses, based on this unique EC dataset of high-frequency (30-min) time series CH<ce:inf loc=\"post\">4</ce:inf> fluxes, revealed that (a) the removal caused a pulse of CH<ce:inf loc=\"post\">4</ce:inf> emission peaking one month later up to 0.76 g CH<ce:inf loc=\"post\">4</ce:inf> m<ce:sup loc=\"post\">−2</ce:sup> d<ce:sup loc=\"post\">-1</ce:sup>, with the mean post-removal emission over ten times that of the pre-removal level (0.03 g CH<ce:inf loc=\"post\">4</ce:inf> m<ce:sup loc=\"post\">−2</ce:sup> d<ce:sup loc=\"post\">-1</ce:sup>); (b) the removal intensified the controls of tidal inundation and pumping on CH<ce:inf loc=\"post\">4</ce:inf> fluxes, showing much stronger pumping effects within two months following the disturbances; (c) the removal also enlarged the temperature sensitivity of CH<ce:inf loc=\"post\">4</ce:inf> emission, leading to larger daytime emission especially at afternoon hours; (d) the combination of enhanced tidal impacts and temperature dependence thus promoted the diel variability of CH<ce:inf loc=\"post\">4</ce:inf> fluxes during the post-removal period. These results suggest that coastal restoration via intensive cordgrass removals boosts both the magnitude and the diel variability of CH<ce:inf loc=\"post\">4</ce:inf> emission, highlighting the necessity of better understanding the climate impact of restoration activities. Future longer flux data with extended years are needed to further assess potential regime shift in soil CH<ce:inf loc=\"post\">4</ce:inf> biogeochemistry and long-term evolution of such unintended environmental costs of the restoration.","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"1 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146752","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}
Pub Date : 2026-02-10DOI: 10.1016/j.geoderma.2026.117723
Jonathan Y. Lin, Daoyuan Wang, Cameron K. McMillan, King C. Law, Kate M. Scow, Jorge L. Mazza Rodrigues
{"title":"Differential responses of prokaryotic and fungal communities in soil microenvironments to drying and wetting as affected by soil aggregate isolation method","authors":"Jonathan Y. Lin, Daoyuan Wang, Cameron K. McMillan, King C. Law, Kate M. Scow, Jorge L. Mazza Rodrigues","doi":"10.1016/j.geoderma.2026.117723","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117723","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"95 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152898","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}
Pub Date : 2026-02-10DOI: 10.1016/j.geoderma.2026.117718
Yang Luo, Yaoli Su, Minghui Huang, Yang Li, Dehua Xu, Zhengjuan Yan, Xinlong Wang
The effects of ammonium polyphosphate (APP, (NH4)n+2PnO3n+1, n < 20) on soil phosphorus (P) availability vary depending on polymerization distributions and the soil type, yet the mechanisms driving these differences remain unclear. This study explored the availability and transformation of P affected by APP1 (P species of P1-P2) and APP2 (P species of P1-P7) in two different soils, in comparison with conventional ammonium phosphates (APs). APP application increased Olsen-P by 10.7–24.8% in calcareous soil, but decreased it by 2.6–10.8% in acid soil relative to APs. In calcareous soil, APP significantly increased soluble-P, adsorbed-P, and Fe-associated P, as reflected by CaCl2, NaHCO3, and NaOH extractable Ps, while decreased more stable Ca-associated P and occluded P indicated by NH4Ac and Na3C6H5O7-Na2S2O4-NaOH extractable Ps. The changes in the composition of CaCO3 and Fe/Al oxides together with/without the reduced organic carbon loss mainly contributed to the decrease in P sorption/precipitation and the increase in P desorption/dissolution. In acid soil, APP significantly increased microbial biomass P, leading to reduced labile inorganic P and elevated labile organic P. Meanwhile, APP increased both oxalate-extractable and complex Fe/Al oxides, which affected P adsorption–desorption to a certain extent. Compared to APP1, APP2 resulted in P existing in a more labile adsorbed state, thereby increasing P availability in both calcareous and acid soils. The main processes affecting P availability in the calcareous soils were abiotic transformations, while biotic transformations played the key role in the acid soils.
{"title":"Different mechanisms of phosphorus transformation in calcareous and acid soils affected by ammonium polyphosphate","authors":"Yang Luo, Yaoli Su, Minghui Huang, Yang Li, Dehua Xu, Zhengjuan Yan, Xinlong Wang","doi":"10.1016/j.geoderma.2026.117718","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117718","url":null,"abstract":"The effects of ammonium polyphosphate (APP, (NH<ce:inf loc=\"post\">4</ce:inf>)<ce:inf loc=\"post\">n+2</ce:inf>P<ce:inf loc=\"post\">n</ce:inf>O<ce:inf loc=\"post\">3n+1</ce:inf>, n < 20) on soil phosphorus (P) availability vary depending on polymerization distributions and the soil type, yet the mechanisms driving these differences remain unclear. This study explored the availability and transformation of P affected by APP1 (P species of P<ce:inf loc=\"post\">1</ce:inf>-P<ce:inf loc=\"post\">2</ce:inf>) and APP2 (P species of P<ce:inf loc=\"post\">1</ce:inf>-P<ce:inf loc=\"post\">7</ce:inf>) in two different soils, in comparison with conventional ammonium phosphates (APs). APP application increased Olsen-P by 10.7–24.8% in calcareous soil, but decreased it by 2.6–10.8% in acid soil relative to APs. In calcareous soil, APP significantly increased soluble-P, adsorbed-P, and Fe-associated P, as reflected by CaCl<ce:inf loc=\"post\">2</ce:inf>, NaHCO<ce:inf loc=\"post\">3</ce:inf>, and NaOH extractable Ps, while decreased more stable Ca-associated P and occluded P indicated by NH<ce:inf loc=\"post\">4</ce:inf>Ac and Na<ce:inf loc=\"post\">3</ce:inf>C<ce:inf loc=\"post\">6</ce:inf>H<ce:inf loc=\"post\">5</ce:inf>O<ce:inf loc=\"post\">7</ce:inf>-Na<ce:inf loc=\"post\">2</ce:inf>S<ce:inf loc=\"post\">2</ce:inf>O<ce:inf loc=\"post\">4</ce:inf>-NaOH extractable Ps. The changes in the composition of CaCO<ce:inf loc=\"post\">3</ce:inf> and Fe/Al oxides together with/without the reduced organic carbon loss mainly contributed to the decrease in P sorption/precipitation and the increase in P desorption/dissolution. In acid soil, APP significantly increased microbial biomass P, leading to reduced labile inorganic P and elevated labile organic P. Meanwhile, APP increased both oxalate-extractable and complex Fe/Al oxides, which affected P adsorption–desorption to a certain extent. Compared to APP1, APP2 resulted in P existing in a more labile adsorbed state, thereby increasing P availability in both calcareous and acid soils. The main processes affecting P availability in the calcareous soils were abiotic transformations, while biotic transformations played the key role in the acid soils.","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"6 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146753","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}
Pub Date : 2026-02-07DOI: 10.1016/j.geoderma.2026.117716
Juan Liu , Timothy Clough , Sam Carrick , Jiafa Luo , Andriy Podolyan , Naomi Wells , Chris Chisholm , Jupei Shen , Peng Li , Lianfeng Du , Hong Pan , Limei Zhang , Hong J. Di
Nitrous oxide (N2O) is a potent greenhouse gas predominantly emitted from grazed pasture through denitrification, driven by soil oxygen (O2) availability and urine-derived nitrogen (N). Pasture soils are vulnerable to compaction from animal treading, restricting gas diffusion and enhancing N2O emissions. Although subsoiling alleviates compaction, its impact on soil O2 status and N2O emissions, particularly under high urine N load, remain poorly understood and rarely investigated. This in-situ field study (March-August 2023) evaluated the effect of subsoiling on soil moisture, O2 content, relative gas diffusivity (Dp/Do), functional gene abundance, N2O emissions, and pasture production. Treatments included non-subsoiling or subsoiling, each with or without synthetic ruminant urine (713 kg N ha−1). Subsoiling improved macroporosity, enhanced O2 availability, increased Dp/Do at 5, 10 and 20 cm depth (P < 0.001), and reduced moisture at 10 cm depth (P < 0.001). Subsoiling significantly reduced N2O emissions by 52% and 81% of non-subsoiled plots for non-urine and urine treatments, respectively (P < 0.05). Dp/Do was strongly correlated with N2O fluxes during the first 15 days following urine application (R2 = 0.59–0.87), suggesting its utility as a predictive indicator under high substrate availability. Molecular analysis showed reduced nirK gene abundance under subsoiling, with limited response for other denitrification genes. Subsoiling had no significant effect on pasture yield or N uptake. Overall, subsoiling mitigates N2O emissions by improving soil aeration and Dp/Do while maintaining productivity, offering a promising strategy for sustainable N management in grazed pasture soils.
一氧化二氮(N2O)是一种强效温室气体,主要由放牧牧场通过反硝化作用排放,受土壤氧(O2)有效性和尿源性氮(N)的驱动。牧草土壤容易被动物踩踏压实,限制气体扩散,增加N2O排放。虽然沉土缓解了压实,但其对土壤O2状态和N2O排放的影响,特别是在高尿氮负荷下,仍然知之甚少,很少研究。本研究(2023年3月- 8月)评估了深埋对土壤水分、O2含量、相对气体扩散系数(Dp/Do)、功能基因丰度、N2O排放和牧草产量的影响。处理包括不渗土或渗土,分别添加或不添加合成反刍动物尿液(713 kg N ha−1)。沉土改善了宏观孔隙度,增强了O2有效性,增加了5、10和20 cm深度的Dp/Do (P < 0.001),降低了10 cm深度的水分(P < 0.001)。在不排尿和排尿处理中,未排尿地块的N2O排放量分别显著减少52%和81% (P < 0.05)。Dp/Do与尿液应用后15天内N2O通量密切相关(R2 = 0.59-0.87),表明其在高底物利用率下可作为预测指标。分子分析表明,土壤深埋降低了nirK基因的丰度,对其他反硝化基因的响应有限。深耕对牧草产量和氮素吸收无显著影响。总体而言,深埋土壤通过改善土壤通气和Dp/Do来减少N2O排放,同时保持生产力,为放牧草地土壤的可持续氮管理提供了一种有希望的策略。
{"title":"Subsoiling reduces N2O emissions by altering the relative gas diffusivity, O2 status and microbial communities in grazed pasture soil","authors":"Juan Liu , Timothy Clough , Sam Carrick , Jiafa Luo , Andriy Podolyan , Naomi Wells , Chris Chisholm , Jupei Shen , Peng Li , Lianfeng Du , Hong Pan , Limei Zhang , Hong J. Di","doi":"10.1016/j.geoderma.2026.117716","DOIUrl":"10.1016/j.geoderma.2026.117716","url":null,"abstract":"<div><div>Nitrous oxide (N<sub>2</sub>O) is a potent greenhouse gas predominantly emitted from grazed pasture through denitrification, driven by soil oxygen (O<sub>2</sub>) availability and urine-derived nitrogen (N). Pasture soils are vulnerable to compaction from animal treading, restricting gas diffusion and enhancing N<sub>2</sub>O emissions. Although subsoiling alleviates compaction, its impact on soil O<sub>2</sub> status and N<sub>2</sub>O emissions, particularly under high urine N load, remain poorly understood and rarely investigated. This in-situ field study (March-August 2023) evaluated the effect of subsoiling on soil moisture, O<sub>2</sub> content, relative gas diffusivity (D<sub>p</sub>/D<sub>o</sub>), functional gene abundance, N<sub>2</sub>O emissions, and pasture production. Treatments included non-subsoiling or subsoiling, each with or without synthetic ruminant urine (713 kg N ha<sup>−1</sup>). Subsoiling improved macroporosity, enhanced O<sub>2</sub> availability, increased D<sub>p</sub>/D<sub>o</sub> at 5, 10 and 20 cm depth (<em>P < 0.001</em>), and reduced moisture at 10 cm depth (<em>P < 0.001</em>). Subsoiling significantly reduced N<sub>2</sub>O emissions by 52% and 81% of non-subsoiled plots for non-urine and urine treatments, respectively (<em>P < 0.05</em>). D<sub>p</sub>/D<sub>o</sub> was strongly correlated with N<sub>2</sub>O fluxes during the first 15 days following urine application (<em>R<sup>2</sup> = 0.59</em>–<em>0.87</em>), suggesting its utility as a predictive indicator under high substrate availability. Molecular analysis showed reduced <em>nirK</em> gene abundance under subsoiling, with limited response for other denitrification genes. Subsoiling had no significant effect on pasture yield or N uptake. Overall, subsoiling mitigates N<sub>2</sub>O emissions by improving soil aeration and D<sub>p</sub>/D<sub>o</sub> while maintaining productivity, offering a promising strategy for sustainable N management in grazed pasture soils.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"467 ","pages":"Article 117716"},"PeriodicalIF":6.6,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134156","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}
Pub Date : 2026-02-07DOI: 10.1016/j.geoderma.2026.117710
Liangyi Li , Zipeng Zhang , Minglu Sun , Jianli Ding , Jingzhe Wang , Dong Xu , Yuanyuan Huang
Addressing the dual challenges of limited sample size and high environmental heterogeneity in small-scale soil organic carbon (SOC) spectral modeling, this study proposes a fundamental hypothesis: selecting samples that are similar to the target region in both “spectral features and environmental characteristics” is more effective for improving prediction accuracy and stability. Based on this assumption, we developed a synergistic sample transfer strategy that integrates spectral similarity with environmental similarity under the Third Law of Geography, aiming to systematically screen the most comparable samples from the global soil spectral library to enhance the performance and robustness of local SOC modeling. A spectral-environmental similarity framework was established to identify samples that are simultaneously similar to the target region in spectral properties and environmental settings, and instance-based transfer modeling experiments were conducted in five representative small-sample regions (A-E). Results show that the synergistic strategy significantly improved modeling performance in most regions, with maximum increases in predictive power (as indicated by R2) of up to 18% compared with the baseline global transfer model. Remarkably, even when the number of global samples was reduced from 20,961 to around 200, the proposed strategy still outperformed local modeling and conventional global modeling approaches. In relatively stable environments, higher weights on environmental similarity yielded the best models, whereas in highly heterogeneous regions, spectral similarity played a more dominant role. The synergistic strategy also optimized the distribution of important spectral bands, enhanced SOC-responsive features in the visible region (450–750 nm), suppressed redundant information, and improved modeling efficiency. This study demonstrates that the proposed spectral-environmental synergistic sample transfer modeling method not only challenges the conventional assumption that “more samples guarantee better models” but also provides a novel pathway and theoretical support for the efficient use of global soil spectral libraries in regional SOC modeling.
{"title":"Selecting the right samples rather than more samples: A new spectral–environmental similarity strategy for local soil spectral modeling","authors":"Liangyi Li , Zipeng Zhang , Minglu Sun , Jianli Ding , Jingzhe Wang , Dong Xu , Yuanyuan Huang","doi":"10.1016/j.geoderma.2026.117710","DOIUrl":"10.1016/j.geoderma.2026.117710","url":null,"abstract":"<div><div>Addressing the dual challenges of limited sample size and high environmental heterogeneity in small-scale soil organic carbon (SOC) spectral modeling, this study proposes a fundamental hypothesis: selecting samples that are similar to the target region in both “spectral features and environmental characteristics” is more effective for improving prediction accuracy and stability. Based on this assumption, we developed a synergistic sample transfer strategy that integrates spectral similarity with environmental similarity under the Third Law of Geography, aiming to systematically screen the most comparable samples from the global soil spectral library to enhance the performance and robustness of local SOC modeling. A spectral-environmental similarity framework was established to identify samples that are simultaneously similar to the target region in spectral properties and environmental settings, and instance-based transfer modeling experiments were conducted in five representative small-sample regions (A-E). Results show that the synergistic strategy significantly improved modeling performance in most regions, with maximum increases in predictive power (as indicated by R<sup>2</sup>) of up to 18% compared with the baseline global transfer model. Remarkably, even when the number of global samples was reduced from 20,961 to around 200, the proposed strategy still outperformed local modeling and conventional global modeling approaches. In relatively stable environments, higher weights on environmental similarity yielded the best models, whereas in highly heterogeneous regions, spectral similarity played a more dominant role. The synergistic strategy also optimized the distribution of important spectral bands, enhanced SOC-responsive features in the visible region (450–750 nm), suppressed redundant information, and improved modeling efficiency. This study demonstrates that the proposed spectral-environmental synergistic sample transfer modeling method not only challenges the conventional assumption that “more samples guarantee better models” but also provides a novel pathway and theoretical support for the efficient use of global soil spectral libraries in regional SOC modeling.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"467 ","pages":"Article 117710"},"PeriodicalIF":6.6,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134155","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}