Geoderma最新文献

{"title":"Chemical availability in soils and sediments interpreted by coupled transport–reaction models of DGT (Diffusive Gradients in Thin-films) fluxes: Roles of dissolved ligands and finite sorption capacity","authors":"Josep Galceran, Guanlei Li, Jordi Sans-Duñó, Carlos Rey-Castro, Jaume Puy, Yue Gao, Joan Cecília","doi":"10.1016/j.geoderma.2026.117717","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117717","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"21 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147496115","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":"Trade-off between taxonomic and functional diversity of nematodes due to species replacement in urban green spaces","authors":"Justin L.K. Coulibaly, Xin Gong, Wenting Wang, Zohra Naseem, Gang Li, André L.C. Franco, Biao Zhu, Xin Sun","doi":"10.1016/j.geoderma.2026.117778","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117778","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"16 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147496117","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":"Harmonizing data from different soil organic matter fractionation protocols","authors":"Tchodjowiè P.I. Kpemoua, Marija Stojanova, Claire Chenu, Denis Angers, Amicie Delahaie, Jussi Heinonsalo, Kristiina Karhu, Marine Landrieux, Sam McNally, Cédric Plessis, Christopher Poeplau, Valérie Pouteau, Pierre Roudier, Eva Rabot, Juliette Roussia, Marcus Schiedung, Iñigo Virto, Pierre Barré","doi":"10.1016/j.geoderma.2026.117774","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117774","url":null,"abstract":"Physical fractionation is a prevailing tool for studying the biogeochemical stability of soil organic carbon (SOC). Fractionation methods are straightforward to implement in the laboratory, and allow for the separation of SOC into at least two distinct fractions, either by size (OC<ce:inf loc=\"post\">fine</ce:inf> vs. OC<ce:inf loc=\"post\">coarse</ce:inf>) or density (light vs. heavy fraction), and make it possible to distinguish fractions with contrasting average biogeochemical stability. Methods tend to differ in the protocol for soil dispersion (shaking in water and/or sodium hexametaphosphate (SHMP), shaking with glass beads, or using ultrasonic dispersion), and in the fraction separation (through different sieve/mesh sizes or using chemical density). Several <ce:italic>meta</ce:italic>-analyses combining results obtained using different physical fractionation methods are emerging. In this context, it is important to determine whether the results obtained using different methods are directly comparable or, at a minimum, whether correction functions can be developed to harmonize the results obtained with different methods.","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"20 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147465419","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":"Biogenic carbon input from Spartina alterniflora eradication governs nitrate removal pathways and N2O emission in estuarine mangrove wetlands","authors":"Shiyao Chen, Hui Wu, Wenhong Xu, Fenfang Wang, Ruifeng Yan, Shaobin Li, Nengwang Chen","doi":"10.1016/j.geoderma.2026.117780","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117780","url":null,"abstract":"Estuarine mangrove wetlands mitigate coastal eutrophication by removing nitrate (NO<ce:inf loc=\"post\">3</ce:inf><ce:sup loc=\"post\">−</ce:sup>); however, the effects of invasive <ce:italic>Spartina alterniflora</ce:italic> eradication, a key biogenic carbon source, on NO<ce:inf loc=\"post\">3</ce:inf><ce:sup loc=\"post\">−</ce:sup> removal pathways and nitrous oxide (N<ce:inf loc=\"post\">2</ce:inf>O) emissions remain poorly understood. Here, we conducted a two-year field observation and laboratory anaerobic sediment incubation amended with plant residues, combined with <ce:sup loc=\"post\">15</ce:sup>N isotope tracing and metagenomics analyses. Field observation and laboratory incubation experiments revealed that during the initial eradication, the elevated organic carbon from <ce:italic>Spartina alterniflora</ce:italic> degradation stimulated denitrifying bacteria (e.g., <ce:italic>Proteobacteria</ce:italic>) and the <ce:italic>nirS</ce:italic> gene abundance. Consequently, NO<ce:inf loc=\"post\">3</ce:inf><ce:sup loc=\"post\">−</ce:sup> removal was dominated by denitrification (DNF, 90.26%), while dissimilatory nitrate reduction to ammonium (DNRA) contributed minimally. Meanwhile, the concurrent pH decline from plant residue fermentation inhibited <ce:italic>nosZ</ce:italic>-mediated reduction, leading to incomplete DNF and a consequent 153.0% rise in N<ce:inf loc=\"post\">2</ce:inf>O emissions above the background level of 12.48 μg m<ce:sup loc=\"post\">−2</ce:sup> h<ce:sup loc=\"post\">−1</ce:sup>. The DNF contribution and N<ce:inf loc=\"post\">2</ce:inf>O emission increase reached their maximum approximately six months after plant removal. Driven by an elevated C: NO<ce:inf loc=\"post\">3</ce:inf><ce:sup loc=\"post\">−</ce:sup> ratio from continuous organic carbon accumulation and NO<ce:inf loc=\"post\">3</ce:inf><ce:sup loc=\"post\">−</ce:sup> consumption over the following two years, DNRA contribution rose from 5.78% to 34.34% alongside a shift of N<ce:inf loc=\"post\">2</ce:inf>O flux to a sink (−14.54 μg m<ce:sup loc=\"post\">−2</ce:sup> h<ce:sup loc=\"post\">−1</ce:sup>). The accumulation of <ce:italic>nrfA</ce:italic> gene, sulfate-reducing bacteria, and II type <ce:italic>nosZ</ce:italic> microorganisms (e.g., <ce:italic>Bacteroidetes, Thermodesulfobacteria</ce:italic>) in the sediments favored the above conversion. This study elucidates how biogenic carbon addition reconfigures NO<ce:inf loc=\"post\">3</ce:inf><ce:sup loc=\"post\">−</ce:sup> removal pathways and associated ecosystem functions, providing scientific insights for coordinating ecosystem management restoration with climate change goals.","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"94 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147465341","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":"Micromorphological indicators of pedogenesis in Technosols developed from mine wastes and tailings containing iron sulphides","authors":"Rugana Imbaná, Łukasz Uzarowicz, Zbigniew Zagórski, Mateusz Stolarczyk, Wojciech Szymański","doi":"10.1016/j.geoderma.2026.117773","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117773","url":null,"abstract":"The study aimed to use soil micromorphology to reveal the microscopic effects of soil-forming processes in young (up to about 200 years) Spolic Technosols developed from mine wastes and tailings containing iron (Fe) sulphides. Thin sections were analysed under petrographic microscopes. Three soil profiles developed from sulphide-rich mine wastes and tailings were studied in two abandoned pyrite mines in Rudki and Wieściszowice, southern Poland. Morphological observations showed that the studied profiles were poorly developed. However, microscopic investigations allowed for the identification of a set of pedogenic features as follows: (1) pedogenic structure (in particular in the topsoil) being an effect of soil organic matter accumulation and physical and biological alteration of technogenic parent materials; (2) Fe oxide hypocoatings and quasicoatings, which are the result of Fe mobilisation in the strongly acidic soil environment, followed by translocation in pore waters and precipitation of Fe oxides inside a soil groundmass; (3) clay coatings and infillings along pores which are the result of clay translocation in strongly acidic soils; (4) pedogenic gypsum in a form of rosettes or single crystals dispersed in the groundmass as an effect of crystallisation from pore waters rich in Ca and sulphate ions; and (5) bioturbations (e.g., root channels) being an effect of biota activity. The study showed that despite their young age and initial stage of soil profile development, the Technosols investigated are subject to natural soil-forming processes on the microscale that transform technogenic parent materials into functioning soils.","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"273 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147465486","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":"Self-supervised and multi-fidelity learning for extended predictive soil spectroscopy","authors":"Luning Sun, José L. Safanelli, Jonathan Sanderman, Katerina Georgiou, Colby Brungard, Kanchan Grover, Bryan G. Hopkins, Shusen Liu, Peer-Timo Bremer","doi":"10.1016/j.geoderma.2026.117764","DOIUrl":"https://doi.org/10.1016/j.geoderma.2026.117764","url":null,"abstract":"Infrared spectroscopy is a cost-effective, non-destructive, and environmentally benign technology that is increasingly recognized as an important solution for meeting the global demand for soil data. While both near-infrared (NIR) and mid-infrared (MIR) diffuse reflectance spectroscopy enable rapid estimation of soil properties, they present a significant trade-off: NIR offers superior scalability and lower operational costs, whereas MIR provides higher analytical fidelity by capturing fundamental molecular vibrations. In this study, we propose a self-supervised, multi-fidelity learning framework designed to bridge this gap. Our approach leverages large-scale MIR spectral libraries to learn a compact, transferable latent representation, into which NIR spectra are subsequently aligned for downstream prediction. The workflow consists of pretraining a latent model on a large MIR library, adapting the representation using a smaller paired NIR–MIR dataset, and evaluating generalization on an independent external test set. Across a range of chemical and physical soil properties, we found that MIR-derived embeddings improved prediction accuracy relative to baseline models that used raw MIR inputs. Predictions derived from the spectrum conversion (NIR to MIR) task did not match the performance of the original MIR spectra but were similar or superior to predictive performance of NIR-only models, suggesting the unified spectral latent space can effectively leverage the larger and more diverse MIR dataset for prediction of soil properties not well represented in current NIR libraries.","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"11 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147465344","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":"Coupling crop growth with ParFlow for simulating agro-hydrological processes on a regional scale","authors":"Zelin Hou ,&nbsp;Quanzhong Huang ,&nbsp;Jiawei Liu ,&nbsp;Lei Sun ,&nbsp;Yiming Fan ,&nbsp;Haozhi Li ,&nbsp;Dongyang Ren ,&nbsp;Xu Xu ,&nbsp;Yunwu Xiong ,&nbsp;Zailin Huo ,&nbsp;Guanhua Huang","doi":"10.1016/j.geoderma.2026.117726","DOIUrl":"10.1016/j.geoderma.2026.117726","url":null,"abstract":"<div><div>Accurate representation of the coupled interactions between soil water content (SWC), groundwater dynamics, and crop growth is crucial for assessing the impacts of changing environments at the basin scale. Many basin-scale hydrological models often prioritize hydrological processes while overlooking the influence of crop growth on water dynamics. In this study, the EPIC (Erosion-Productivity Impact Calculator) model was coupled with ParFlow (referred to as ParFlow-AGE, ParFlow with Agricultural Environment) to simulate crop growth along with surface water, soil water, and groundwater at the regional scale. The model was calibrated and validated using three years of field data from a typical research area in the Hetao Irrigation District (HID). All the simulated values showed good agreement with the measured data. The simulated SWC demonstrated R² ranging from 0.65 to 0.71, while the simulated crop height (CH), leaf area index (LAI), and aboveground biomass showed R² values ranging from 0.90 to 0.93. Additionally, the simulated groundwater depth (GWD) exhibited relatively high accuracy, with R² ranging from 0.76 to 0.83. During soil water exchange, in the vertical direction, irrigation and rainfall events caused pronounced fluctuations in surface soil water content, while deeper SWC remained relatively stable. In the lateral direction, quantification of water exchange of experimental field A and B using normalized radial water exchange (NRWE) showed that lateral water movement increased with depth (NRWE_0-1 &lt; NRWE_1-2.6 &lt; NRWE_2.6-5). GWD, evapotranspiration, and yield exhibited high spatial variability across the study area. Shallower groundwater depth was obtained near the canal due to lateral seepage, resulting in a significantly higher actual evapotranspiration than other fields. However, the yields of maize and sunflower were 12% and 9% lower than those in other fields, respectively, because of increased stress to crops from water and aeration. Non-productive use of water, including soil evaporation from agricultural fields and evaporation from canal and built-up land, accounted for 35% of the total ET_act (135,401 m³ water across 45.57 hm²). These findings validate the feasibility of the coupled model, providing a more practical and powerful tool for large-scale agro-hydrological studies.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"467 ","pages":"Article 117726"},"PeriodicalIF":6.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172524","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":"Maize root growth, oxygen and N availability drive formation of N2O hotspots in soil","authors":"Pauline Sophie Rummel ,&nbsp;Martin Reinhard Rasmussen ,&nbsp;Aurélien Saghaï ,&nbsp;Theresa Merl ,&nbsp;Sara Hallin ,&nbsp;Carsten W. Mueller ,&nbsp;Klaus Koren","doi":"10.1016/j.geoderma.2026.117734","DOIUrl":"10.1016/j.geoderma.2026.117734","url":null,"abstract":"<div><div>Plant roots can modify all major controls of denitrification in soils, particularly the availability of the main substrates (NO₃⁻ and C_org), soil moisture, soil O₂ content, and root-associated microbial communities, and thus play an important role in N₂O formation. Direct <em>in-situ</em> measurements of N₂O concentrations in the rhizosphere are lacking, yet are crucial to better understand how rhizosphere denitrification contributes to overall N₂O emissions from soil. We equipped rhizoboxes with O₂-sensitive planar optodes to simultaneously monitor root growth and rhizosphere/soil O₂ concentrations. We measured soil surface N₂O fluxes and linked them to root growth, soil moisture, and root/soil O₂ concentrations. Based on root growth and O₂ concentrations, we identified regions of interest (ROI) and sampled small soil volumes, which were analyzed for C and N content, and abundance of genes indicative of microbial denitrifiers (<em>nirK</em>, <em>nirS</em>) and N₂O reducers (<em>nosZ</em>I, <em>nosZ</em>II), and soil N₂O concentrations. Plant roots determined depth gradients of nutrients and denitrification gene abundances in the soil of the rhizoboxes with higher resource availability (NO₃^–, DOC) and lower soil moisture in the upper soil layers, which also had higher abundances of total bacteria, <em>nirK</em> and <em>nosZ</em>II. These findings indicate that the uppermost soil layers largely contributed to N₂O formation. Our study provides the first direct evidence of roots creating distinct O₂ and N gradients controlling N₂O production at the process scale leading to high <em>in-situ</em> N₂O concentrations.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"467 ","pages":"Article 117734"},"PeriodicalIF":6.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146209228","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":"Effects of prescribed fire on soil physicochemical properties in a mediterranean Pinus halepensis plantation: a case study in the Montgrí Massif.","authors":"Sebastián Alfaro-Zepeda,&nbsp;Mariano Moreno de las Heras,&nbsp;Antonio Peñalver-Alcalá,&nbsp;Eduardo García-Braga,&nbsp;Joaquim Farguell,&nbsp;Xavier Úbeda","doi":"10.1016/j.geoderma.2026.117730","DOIUrl":"10.1016/j.geoderma.2026.117730","url":null,"abstract":"<div><div>Fire has long shaped Mediterranean ecosystems. However, changes in fire regimes, a major consequence of global environment change, have led to increasingly frequent and more intense wildfires in these regions. Sustainable forest management is, therefore, today critical for reducing the risk of ignition and minimising the damage caused by wildfires. In Spain, management tools as pruning and felling, silviculture, and prescribed fire (PF) are employed individually or in combination to address this challenge. But the use of PF is controversial due to the risks of provoking uncontrolled fire episodes, increasing greenhouse gas emissions, and altering soil properties if such fires are not properly managed. This study reports the results of the annual monitoring of the physical and chemical properties of a calcareous soil after a PF. We document changes in a <em>Pinus halepensis</em> plantation of the Montgrí massif (NE Spain) to determine whether this forest management approach has any short-term (two-year period) effects. In year zero, i.e., immediately after the PF, a significant increase in the soil’s electrical conductivity and water repellency was observed in the burned plot (vs. control). In the first year, soil pH was significantly higher in the treated plot relative both to its first-year pH levels and to those of the control. By the second year, no significant differences were observed in the physicochemical properties of the soils of the treated and control plots. These results suggest that PF did not cause significant short-term changes in soil properties, supporting its role as a sustainable management tool for reducing accumulated biomass in forests while maintaining soil resilience in Mediterranean ecosystems.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"467 ","pages":"Article 117730"},"PeriodicalIF":6.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146777808","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":"Multispectral bare soil composites as a resource for SOC mapping rather than SOC monitoring: A case study in the Walloon region (Belgium)","authors":"Dries De Bièvre,&nbsp;Pierre Defourny,&nbsp;Bas van Wesemael","doi":"10.1016/j.geoderma.2026.117738","DOIUrl":"10.1016/j.geoderma.2026.117738","url":null,"abstract":"<div><div>Soil organic carbon (SOC) is a key indicator of soil health on croplands, as well as a potential lever for carbon sequestration in agriculture. This requires tools for understanding spatial and temporal variations in SOC content. Multispectral satellites provide data on bare soil reflectance which is influenced by SOC content. In this study, an extensive database of 34,418 soil analyses on 22,850 fields is leveraged to train a Machine-Learning model for SOC content prediction. The predictive covariates are derived from a bare soil composite of Sentinel-2 images over the Walloon region (Belgium) obtained from March to June over a three-year period (2019–2021) as well as some environmental covariates. We observe that multispectral data is complementary to environmental covariates for explaining spatial variability in SOC content. Through feature elimination relevant spectral features were identified: the normalized difference of band 3 (Green) and 2 (Blue); band 5 (Red-Edge) and 11 (SWIR1); band 11 (SWIR1) and 12 (SWIR2) and the reflectance in band 4 (Red). These spectral indices were combined with three environmental covariates: elevation, the agro-ecological zone and the fine fraction (<span><math><mo>&lt;</mo></math></span> 20<span><math><mi>μ</mi></math></span>m) content. The resulting model predicts SOC content at field-level with an RMSE of 2.7 g C kg⁻¹ and an <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> of 0.56. Given this uncertainty, we conclude that multispectral data is insufficient for SOC content monitoring at parcel-level but is a tool to consider for SOC content mapping. The SOC content map can be used for regional SOC content estimates, after modeling the autocorrelation of the model errors. This offers the possibility to compare groups with different management practices or assess the average SOC content of fields in a soil conservation program compared to a regional baseline.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"467 ","pages":"Article 117738"},"PeriodicalIF":6.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147334371","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}