[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2928":3,"related-2928":109},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":33,"secondary_topics":39,"classification":46,"search_phrases":82,"slug":85,"view_count":22,"doi":86,"paper":87,"created_at":108},2928,"Biochar 2.0 in Climate-Smart Agriculture: A Critical Review of Designer Biochars, Soil Microbiome Responses, Nutrient-Use Efficiency and Greenhouse-Gas Mitigation","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fajsspn\u002F2026\u002Fv12i4764","Biochar has moved from a broadly promoted soil amendment to a material that is deliberately engineered for defined agronomic and climatic functions. This transition, described here as a shift towards designer biochars, raises questions that the earlier literature was not designed to answer: whether tailoring feedstock, pyrolysis conditions and post-synthesis modification produces reproducible gains in nutrient-use efficiency, whether the accompanying soil microbiome changes are functionally meaningful or largely descriptive, and whether greenhouse-gas benefits observed in short experiments persist under field management and withstand carbon-accounting scrutiny. This critical narrative review examines the evidence linking biochar properties to soil microbial responses, nutrient retention and transformation, and the mitigation of nitrous oxide, methane and carbon dioxide in agricultural soils. Literature was identified through structured searching of open scholarly indexes, agricultural and intergovernmental repositories, and citation tracking, with every retained source verified against an authoritative bibliographic record. The synthesis indicates that the strongest and most reproducible effects are pedoclimatic rather than material-specific: responses concentrate in acidic, coarse-textured, nutrient-depleted and tropical soils, whereas temperate fertile systems frequently show negligible agronomic gain. Microbiome studies consistently report compositional turnover with little change in alpha diversity, and the functional interpretation of these shifts rests heavily on marker-gene abundance rather than demonstrated process rates. Nitrous oxide suppression is well supported in aggregate but varies by a factor of five across syntheses, and recent field work shows that freshly applied high-rate biochar can increase emissions. Methane outcomes in flooded systems depend on water management and application history. Carbon permanence remains contested because the principal proxies used for crediting are informative about carbonisation rather than about in-soil residence under field weathering. Confidence is highest for liming, cation retention and short-term nitrogen conservation, and lowest for long-term net climate benefit at landscape scale. Priorities include multi-year factorial field trials that pair engineered materials with process-level measurement, standardised reporting of biochar properties, and accounting frameworks calibrated on weathered rather than freshly produced material.","生物炭已从一种被广泛推广的土壤改良剂，转变为一种为特定农艺和气候功能而刻意设计的材料。这一转变——本文将其描述为向“设计型生物炭”的转向——提出了早期文献未曾设计回答的问题：定制原料、热解条件和合成后修饰是否能在养分利用效率上产生可重复的增益；伴随而来的土壤微生物组变化在功能上是否有意义，还是主要停留在描述层面；以及在短期实验中观察到的温室气体效益能否在田间管理下持续存在，并经受住碳核算的审视。这篇批判性叙述综述考察了将生物炭性质与土壤微生物响应、养分保持与转化，以及农业土壤中氧化亚氮、甲烷和二氧化碳减排联系起来的证据。文献通过结构化检索开放学术索引、农业和政府间知识库以及引文追踪来识别，所有保留的来源均对照权威书目记录进行了核实。综合结果表明，最强且最可重复的效应是土壤气候性的，而非材料特异性的：响应集中于酸性、粗质地、养分贫瘠和热带土壤，而温带肥沃系统往往显示可忽略的农艺增益。微生物组研究一致报告组成上的更替而α多样性变化甚微，且对这些变化的功能解读在很大程度上依赖于标记基因丰度，而非已证实的过程速率。氧化亚氮抑制在总体上得到较好支持，但不同综合研究之间相差可达五倍，且近期田间工作表明，新施用的高用量生物炭可能增加排放。淹水系统中的甲烷结果取决于水分管理和施用历史。碳永久性仍存争议，因为用于信用核算的主要替代指标所反映的是碳化程度，而非田间风化条件下的土壤内驻留时间。置信度最高的是石灰效应、阳离子保持和短期氮素保全，最低的是景观尺度上的长期净气候效益。优先事项包括：将工程化材料与过程水平测量相结合的多年度析因田间试验、生物炭性质的标准化报告，以及基于风化而非",null,"Asian Journal of Soil Science and Plant Nutrition","2026-09-18T00:00:00Z","论文",10,false,80,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,22,19,13,8,1,"系统评述设计型生物炭在土壤微生物、养分效率与温室气体减排上的证据强度与不确定性，学术增量扎实，对农业绿色低碳与土壤健康方向有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31,32],"生物炭","土壤健康","气候智慧农业","土壤微生物","温室气体减排","养分利用效率",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",[40],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":47,"locked":14,"version":48,"method":49,"evidence":50},"classified","2026-10-22.2","rules",{"candidates":51,"agricultural_evidence":54},[52,59,66,72,77],{"code":41,"score":53,"supported":54,"title":55,"abstract":56,"tags":58},17,true,[42],[57,42],"土壤",[28,30,27],{"code":34,"score":60,"supported":54,"title":61,"abstract":63,"tags":65},14,[62],"greenhouse",[64,62],"温室",[],{"code":67,"score":21,"supported":54,"title":68,"abstract":70,"tags":71},"I1",[69],"smart agriculture",[],[],{"code":73,"score":22,"supported":14,"title":74,"abstract":75,"tags":76},"F3",[],[],[32],{"code":78,"score":22,"supported":14,"title":79,"abstract":80,"tags":81},"H7",[],[],[29],[83,84],"生物炭 温室气体 减排","养分利用效率 气候智慧农业 温室气体减排 土壤微生物","生物炭温室气体减排-2928","10.9734\u002Fajsspn\u002F2026\u002Fv12i4764",{"doi":86,"openalex_id":88,"authors":89,"venue":10,"cited_by_count":99,"oa_url":6,"card":100,"direction":106,"ingested_from":107},"W7213554252",[90,92,95,97],{"name":91,"orcid":9},"K. G. Rosin",{"name":93,"orcid":94},"Aditya V Machnoor","https:\u002F\u002Forcid.org\u002F0009-0001-5777-9188",{"name":96,"orcid":9},"Rakesh Kokatnoor",{"name":98,"orcid":9},"Arun S. Kalasad",0,{"tldr":101,"method":102,"finding":103,"direction":104,"opportunity":105},"综述设计型生物炭在气候智慧农业中的效果，指出其农艺与减排效益高度依赖土壤气候条件。","结构化文献检索与引文追踪，整合生物炭性质、土壤微生物、养分与温室气体证据。","最强效应集中于酸性贫瘠热带土壤，温带肥沃土壤增益有限；氧化亚氮抑制变异大，碳持久性存疑。","农业绿色发展与碳","需多年多因子田间试验，结合过程速率测量与风化态碳核算，验证设计型生物炭的长期净气候效益。","智慧农业 \u002F 农业物联网","openalex","2026-09-19T23:30:11.160909Z",{"total":110,"page":22,"page_size":110,"items":111},6,[112,207,275,352,384,487],{"id":113,"title":114,"url":115,"summary":116,"summary_zh":117,"content":9,"source_name":118,"source_url":115,"published_at":119,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":120,"score_detail":121,"sources":125,"tags":127,"primary_topic":132,"secondary_topics":133,"classification":140,"search_phrases":178,"slug":181,"view_count":22,"doi":182,"paper":183,"created_at":206},3814,"Optimizing biogas slurry and biochar co-application to enhance soil microenvironment, mitigate greenhouse gas emissions, and increase tomato yield in greenhouse systems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1866425","To support agricultural carbon peaking and carbon neutrality goals, this study investigated the uncertainties surrounding greenhouse gas emissions and nutrient leaching associated with biogas slurry utilization. It systematically explored the mechanisms and mitigation pathways of co-applying biogas slurry, biochar, and chemical fertilizers for reducing greenhouse gas emissions and nutrient losses under intensive agricultural management characterized by excessive irrigation and fertilizer application. Under equivalent N, P, and K inputs and consistent irrigation levels, different substitution ratios of biogas slurry for chemical fertilizers were evaluated in a point-source underground irrigation system. Treatments included CF, FR, BS25, BS50, BS75, and BS100, with corresponding biochar treatments CF + C, FR + C, BS25 + C, BS50 + C, BS75 + C, and BS100 + C. Tomato yield, soil physical properties, microbial biomass, microbial gene copy numbers, and soil greenhouse gas emissions were measured. Key influencing factors and optimal management strategies were identified using multivariate statistical analysis and a multi-criteria decision approach. The results indicated that biogas slurry combined with biochar significantly improved the soil microenvironment in greenhouse tomato systems by enhancing soil temperature (ST), soil moisture content (SMC), and water-filled pore space (WFPS), especially during the flowering stage in both spring-summer and autumn-winter periods. Biochar also significantly increased microbial biomass carbon (MBC), while microbial gene copy numbers, including AOA, AOB, and mcrA, showed clear seasonal variation. Regarding greenhouse gas emissions, co-application of biogas slurry and biochar significantly affected CO 2 fluxes, particularly from days 8–119, promoting CO 2 emissions. Biochar effectively suppressed N 2 O emissions, promoted CH 4 emissions during days 1–7, and reduced CH 4 fluxes from days 8–119. The BS75 + C treatment significantly increased tomato yield to 151.34 t ha −1 , reduced global warming potential to 9491.43 kg ha −1 , and lowered greenhouse gas emission intensity. Compared with other treatments, BS75 + C consistently showed superior agronomic and environmental performance. Comprehensive analysis showed that ST, SMC, and MBC mainly influenced CO 2 emissions; ST, AOA, and AOB influenced N 2 O emissions; and mcrA, WFPS, and ST influenced CH 4 emissions. Multi-criteria decision analysis identified BS75 + C as the optimal strategy for maximizing yield while minimizing greenhouse gas emissions and improving biogas slurry utilization efficiency in sustainable greenhouse agriculture.","为支撑农业碳达峰与碳中和目标，本研究探讨了沼液利用过程中温室气体排放与养分淋失的不确定性，系统揭示了在过量灌溉与施肥的集约化农业管理条件下，沼液、生物炭与化肥配施减少温室气体排放和养分损失的机理与调控路径。在等氮、磷、钾投入及一致灌溉水平下，采用点源地下灌溉系统，评估了不同沼液替代化肥比例的效果。处理包括CF、FR、BS25、BS50、BS75和BS100，以及相应的生物炭处理CF + C、FR + C、BS25 + C、BS50 + C、BS75 + C和BS100 + C。测定了番茄产量、土壤物理性质、微生物生物量、微生物基因拷贝数及土壤温室气体排放。通过多元统计分析和多准则决策方法，确定了关键影响因素和最优管理策略。结果表明，沼液配施生物炭通过提高土壤温度(ST)、土壤含水量(SMC)和充水孔隙度(WFPS)，显著改善了温室番茄系统的土壤微环境，尤其在春夏季和秋冬季的开花期。生物炭还显著提高了微生物生物量碳(MBC)，而微生物基因拷贝数(包括AOA、AOB和mcrA)则表现出明显的季节性变化。在温室气体排放方面，沼液与生物炭配施显著影响CO₂通量，尤其在8—119天期间促进CO₂排放。生物炭有效抑制了N₂O排放，在1—7天促进CH₄排放，并在8—119天降低CH₄通量。BS75 + C处理显著提高了番茄产量至151.34 t ha⁻¹，将全球增温潜势降至9491.43 kg ha⁻¹，并降低了温室气体排放强度。与其他处理相比，BS75 + C在农艺和环境性能方面始终表现优越。综合分析表明，ST、SMC和MBC主要影响CO₂排放；ST、AOA和AOB影响N₂O排放；mcrA、WFPS和ST影响CH₄排放。多准则决策分析确定BS75 + C为最优策","Frontiers in Sustainable Food Systems","2026-09-29T00:00:00Z",78,{"impact":122,"substance":18,"depth":17,"authority":20,"freshness":123,"relevant":22,"comment":124},16,9,"该研究通过沼液与生物炭配施实现温室番茄增产与温室气体减排，方法系统、数据扎实，对农业绿色低碳发展具有参考价值。",[126],{"name":118,"url":115},[27,128,129,130,131],"温室番茄","农业碳中和","沼液利用","减排增效",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[134,135],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"code":136,"slug":137,"name":138,"path":139,"parent_code":38},"B1","vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables",{"status":47,"locked":14,"version":48,"method":49,"evidence":141},{"candidates":142,"agricultural_evidence":54},[143,148,152,158,164,171],{"code":34,"score":144,"supported":54,"title":145,"abstract":146,"tags":147},15,[62],[64,62],[128],{"code":41,"score":144,"supported":54,"title":149,"abstract":150,"tags":151},[42],[57,42],[27],{"code":136,"score":60,"supported":54,"title":153,"abstract":155,"tags":157},[154],"tomato",[156,154],"番茄",[],{"code":73,"score":110,"supported":54,"title":159,"abstract":160,"tags":163},[],[161,162],"施肥","fertilizer",[],{"code":165,"score":110,"supported":54,"title":166,"abstract":167,"tags":170},"H3",[],[168,169],"灌溉","irrigation",[],{"code":172,"score":173,"supported":54,"title":174,"abstract":175,"tags":177},"H4",3,[],[176],"农业碳",[],[179,180],"沼液 生物炭 温室番茄","BS75 C 温室气体减排","沼液生物炭温室番茄-3814","10.3389\u002Ffsufs.2026.1866425",{"doi":182,"openalex_id":184,"authors":185,"venue":118,"cited_by_count":99,"oa_url":115,"card":201,"direction":104,"ingested_from":107},"W7214739741",[186,189,192,194,197,199],{"name":187,"orcid":188},"Qinglin Sa","https:\u002F\u002Forcid.org\u002F0009-0007-5248-566X",{"name":190,"orcid":191},"Jian Zheng","https:\u002F\u002Forcid.org\u002F0009-0003-5723-1950",{"name":193,"orcid":9},"Ke Zhang",{"name":195,"orcid":196},"Yan Wang","https:\u002F\u002Forcid.org\u002F0000-0002-5950-8904",{"name":198,"orcid":9},"Xuqin FU",{"name":200,"orcid":9},"Shikun Sun",{"tldr":202,"method":203,"finding":204,"direction":104,"opportunity":205},"研究沼液与生物炭配施对温室番茄土壤微环境、温室气体排放及产量的影响。","等氮磷钾滴灌试验，设沼液替代化肥比例与生物炭处理，测产量、土壤及气体。","BS75+C处理番茄产量最高达151.34 t\u002Fha，全球增温潜势最低，减排增产效果最优。","可探究不同气候区或土壤类型下沼液生物炭配施的长期固碳减排效应与微生物机制。","2026-09-30T23:30:07.179554Z",{"id":208,"title":209,"url":210,"summary":211,"summary_zh":212,"content":9,"source_name":213,"source_url":210,"published_at":214,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":215,"score_detail":216,"sources":220,"tags":222,"primary_topic":228,"secondary_topics":229,"classification":231,"search_phrases":256,"slug":259,"view_count":173,"doi":260,"paper":261,"created_at":274},2531,"Spatial Coupling of Greenhouse Gas Emissions, Vegetation Activity, Groundwater Nitrate Occurrence, and Soil Environments Across Denmark: A 5-km Spatial Association and Soil-Stratified Analysis","https:\u002F\u002Fdoi.org\u002F10.31223\u002Fx5rj7d","Integrated environmental assessment increasingly requires the joint analysis of atmospheric emissions, vegetation dynamics, groundwater quality, and soil context rather than isolated thematic mapping. We developed a Denmark-wide 5-km analytical grid in EPSG:25832 containing 1,803 cells and harmonized four continuous environmental indicators: CO2 and CH4 emissions from EDGAR, vegetation activity represented by 2024 MODIS NDVI, and groundwater nitrate occurrence derived from national GEUS observations. Soil information from the GEUS Digital Soil Map was used to stratify environmental associations into five broad environmental groups. Global Pearson, Spearman, and Kendall associations were complemented by global Moran’s I, directional bivariate Moran’s I, local bivariate spatial association, an upper-1% CO2 sensitivity analysis, and soil-stratified statistics. CO2 and NDVI showed the strongest national association (Pearson r = −0.2621), while CH4 was positively associated with CO2 (r = 0.0898) and nitrate occurrence (r = 0.0792). All four continuous variables exhibited significant positive spatial autocorrelation under both Queen and Rook contiguity, with the strongest structure for CH4 and CO2 and the weakest for nitrate. Bivariate Moran analysis supported a negative CO2–NDVI cross-association and positive CH4–CO2 and CH4–nitrate cross-associations. Soil-stratified results showed substantial heterogeneity; the strongest Pearson CO2–NDVI association occurred in Human-affected & Technological environments (r = −0.6208), whereas Sandy & Poor and Sedimentary & Clay-rich environments displayed the clearest positive CH4–CO2 associations. The study is explicitly associative rather than causal. Its principal contribution is a spatially explicit national screening framework that reveals where environmental indicators co-occur, where relationships are spatially organized, and where targeted process-based investigation and monitoring may be most informative.","综合环境评估日益需要对大气排放、植被动态、地下水质量和土壤背景进行联合分析，而非孤立的专题制图。我们构建了一个覆盖丹麦全境、分辨率为5 km的EPSG:25832分析网格，包含1,803个单元，并统一整合了四项连续环境指标：来自EDGAR的CO2和CH4排放、以2024年MODIS NDVI表示的植被活动，以及源自GEUS国家观测数据的地下水硝酸盐赋存情况。来自GEUS数字土壤图的土壤信息被用于将环境关联分层为五个广泛的环境组。在全局Pearson、Spearman和Kendall关联分析的基础上，辅以全局Moran's I、方向性双变量Moran's I、局部双变量空间关联、前1% CO2敏感性分析以及土壤分层统计。CO2与NDVI在全国尺度上表现出最强的关联（Pearson r = −0.2621），而CH4与CO2（r = 0.0898）及硝酸盐赋存（r = 0.0792）呈正相关。四个连续变量在Queen和Rook邻接下均表现出显著的正空间自相关，其中CH4和CO2的空间结构最强，硝酸盐最弱。双变量Moran分析支持CO2–NDVI的负向交叉关联以及CH4–CO2和CH4–硝酸盐的正向交叉关联。土壤分层结果显示出显著异质性；最强的Pearson CO2–NDVI关联出现在人类影响与技术环境中（r = −0.6208），而砂质贫瘠环境和沉积物–黏土丰富环境则表现出最明显的CH4–CO2正相关。本研究明确为关联性而非因果性研究。其主要贡献在于提供了一个空间显式的全国筛查框架，揭示环境指标在何处共现、关系在何处呈现空间组织，以及有针对性的过程性研究与监测在何处可能最具信息价值。","OpenAlex","2026-09-14T00:00:00Z",71,{"impact":217,"substance":218,"depth":53,"authority":20,"freshness":123,"relevant":22,"comment":219},12,20,"基于全国5公里网格整合温室气体、植被、地下水硝酸盐与土壤环境的空间关联研究，方法系统、数据规模大，对农业环境监测与空间筛查有参考价值，但属关联性分析而非因果结论。",[221],{"name":213,"url":210},[223,224,225,226,227],"农业遥感","温室气体","空间分析","地下水质量","土壤环境",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[230],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"status":47,"locked":14,"version":48,"method":49,"evidence":232},{"candidates":233,"agricultural_evidence":54},[234,238,242,246,251],{"code":41,"score":60,"supported":54,"title":235,"abstract":236,"tags":237},[42],[57,42],[],{"code":34,"score":21,"supported":54,"title":239,"abstract":240,"tags":241},[62],[],[],{"code":172,"score":22,"supported":14,"title":243,"abstract":244,"tags":245},[],[],[224],{"code":247,"score":22,"supported":14,"title":248,"abstract":249,"tags":250},"I3",[],[],[223],{"code":252,"score":22,"supported":14,"title":253,"abstract":254,"tags":255},"I4",[],[],[225],[257,258],"地下水质量 农业遥感 土壤环境 温室气体","地下水质量 农业遥感","地下水质量农业遥感土壤环境温室气体-2531","10.31223\u002Fx5rj7d",{"doi":260,"openalex_id":262,"authors":263,"venue":9,"cited_by_count":99,"oa_url":267,"card":268,"direction":273,"ingested_from":107},"W7213077215",[264],{"name":265,"orcid":266},"Avideh Asadollahi","https:\u002F\u002Forcid.org\u002F0009-0000-9847-2177","https:\u002F\u002Feartharxiv.org\u002Frepository\u002Fobject\u002F14981\u002Fdownload\u002F26031\u002F",{"tldr":269,"method":270,"finding":271,"direction":104,"opportunity":272},"构建丹麦5公里网格，分析温室气体、植被、地下水硝酸盐与土壤的空间耦合关系。","EDGAR排放、MODIS NDVI、GEUS硝酸盐与土壤图，用Moran's ","CO2与NDVI负相关最强，CH4与CO2、硝酸盐正相关，土壤类型显著调节这些关联。","可基于该空间筛查框架，在热点区域开展过程模型与监测，探究土壤调节机制及因果路径。","农业遥感与作物表型","2026-09-15T23:30:20.707747Z",{"id":276,"title":277,"url":278,"summary":279,"summary_zh":280,"content":9,"source_name":281,"source_url":278,"published_at":282,"category":12,"cover_url":9,"hotness":283,"is_selected":14,"score":284,"score_detail":285,"sources":288,"tags":292,"primary_topic":298,"secondary_topics":299,"classification":306,"search_phrases":335,"slug":338,"view_count":22,"doi":339,"paper":340,"created_at":351},2161,"National Carbon Stock and Greenhouse Gas Baseline Assessment for Liberia: Integrating Forest, Blue Carbon, Soil Carbon, and Sectoral Emissions","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22685841","This preprint presents an integrated national assessment of carbon stocks and greenhouse gas (GHG) emissions across Liberia, combining forest carbon, blue carbon, soil organic carbon, and major sectoral emission sources within a common spatial framework. The study integrates field measurements, soil and sediment observations, remote sensing, geographic information system (GIS) analysis, spatial modelling, and national activity datasets. Sentinel-2 and Landsat imagery, Digital Earth Africa products, vegetation indices, field-based biomass measurements, and carbon-accounting approaches are used to characterize ecosystem distribution and estimate major carbon pools. The assessment estimates approximately 6.595 million ha of forest and a national forest carbon stock of approximately 2,236 Mt C, equivalent to about 8,200 Mt CO₂e. It also evaluates Liberia's coastal blue-carbon ecosystems and soil organic carbon resources and examines greenhouse gas emissions associated with agriculture, energy, transport, industrial activities, land-use change, and waste. The study provides a spatially integrated scientific framework for strengthening national carbon accounting and Monitoring, Reporting and Verification (MRV), prioritizing ecosystem conservation and restoration, supporting REDD+ and blue-carbon initiatives, and screening potential areas for carbon-market interventions. The manuscript emphasizes the need for continued field measurements, soil and sediment sampling, land-cover validation, explicit uncertainty analysis, and improved sectoral activity data. Author: John Nyemah Natt Jr.Affiliation: Center for Meteorology, Oceanography and Climate Research – LiberiaDocument type: PreprintPublication date: 10 September 2026","本预印本在统一的空间框架内，对利比里亚全国的碳储量与温室气体（GHG）排放进行了综合评估，涵盖森林碳、蓝碳、土壤有机碳以及主要部门排放源。该研究整合了野外实测、土壤与沉积物观测、遥感、地理信息系统（GIS）分析、空间建模以及国家活动数据集。研究采用Sentinel-2与Landsat影像、Digital Earth Africa产品、植被指数、基于野外的生物量测量以及碳核算方法，用以刻画生态系统分布并估算主要碳库。评估估算出森林面积约659.5万公顷，全国森林碳储量约22.36亿吨碳（Mt C），相当于约82亿吨二氧化碳当量（Mt CO₂e）。研究还评估了利比里亚沿海蓝碳生态系统与土壤有机碳资源，并考察了与农业、能源、交通、工业活动、土地利用变化及废弃物相关的温室气体排放。该研究提供了一个空间整合的科学框架，用于加强国家碳核算与监测、报告和核查（MRV），优先开展生态系统保护与恢复，支持REDD+与蓝碳倡议，并筛选适合碳市场干预的潜在区域。本文强调需要持续开展野外测量、土壤与沉积物采样、土地覆盖验证、明确的不确定性分析以及改进的部门活动数据。作者：John Nyemah Natt Jr.所属机构：利比里亚气象、海洋与气候研究中心文献类型：预印本出版日期：2026年9月10日","Zenodo (CERN European Organization for Nuclear Research)","2026-09-10T00:00:00Z",25,84,{"impact":18,"substance":286,"depth":17,"authority":217,"freshness":123,"relevant":22,"comment":287},23,"利比里亚全国碳储量与温室气体基线评估预印本，整合森林、蓝碳、土壤碳与部门排放，方法体系完整、数据规模可观，对农业土地利用与碳汇监测具有参考价值，但属他国案例、非国内三农政策，故未达每日精选门槛。",[289,290],{"name":281,"url":278},{"name":281,"url":291},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22685842",[293,294,295,296,297],"遥感监测","土壤碳","碳汇核算","蓝碳","REDD+",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[300,301],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"code":252,"slug":302,"name":303,"path":304,"parent_code":305},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",{"status":47,"locked":14,"version":48,"method":49,"evidence":307},{"candidates":308,"agricultural_evidence":54},[309,313,317,324,331],{"code":34,"score":60,"supported":54,"title":310,"abstract":311,"tags":312},[62],[64,62],[],{"code":41,"score":60,"supported":54,"title":314,"abstract":315,"tags":316},[42],[57,42],[],{"code":252,"score":123,"supported":54,"title":318,"abstract":319,"tags":323},[],[320,321,322],"地理信息","GIS","geographic information",[],{"code":247,"score":325,"supported":54,"title":326,"abstract":327,"tags":330},7,[],[328,329],"遥感","remote sensing",[293],{"code":172,"score":22,"supported":14,"title":332,"abstract":333,"tags":334},[],[],[295],[336,337],"碳汇核算 遥感监测 土壤碳 蓝碳","碳汇核算 遥感监测","碳汇核算遥感监测土壤碳蓝碳-2161","10.5281\u002Fzenodo.22685841",{"doi":339,"openalex_id":341,"authors":342,"venue":281,"cited_by_count":99,"oa_url":278,"card":346,"direction":273,"ingested_from":107},"W7212145037",[343],{"name":344,"orcid":345},"JOHN NYEMAH NATT JR","https:\u002F\u002Forcid.org\u002F0000-0003-4084-5916",{"tldr":347,"method":348,"finding":349,"direction":104,"opportunity":350},"整合森林、蓝碳、土壤碳与部门排放，完成利比里亚国家碳储量与温室气体基线评估。","融合野外实测、Sentinel-2\u002FLandsat遥感、GIS与空间建模及国家活","森林约659.5万公顷，碳储量约2236 Mt C（约8200 Mt CO₂e），并核算多部门排放。","可延伸至农业土壤碳汇与部门排放耦合的高分辨率MRV体系及不确定性量化研究。","2026-09-11T23:30:29.631707Z",{"id":353,"title":354,"url":355,"summary":356,"summary_zh":9,"content":357,"source_name":358,"source_url":9,"published_at":359,"category":360,"cover_url":9,"hotness":13,"is_selected":14,"score":361,"score_detail":362,"sources":364,"tags":366,"primary_topic":370,"secondary_topics":371,"classification":372,"search_phrases":379,"slug":382,"view_count":99,"doi":9,"paper":9,"created_at":383},5423,"中国农科院资划所揭示生物炭阻控微塑料介导土壤抗生素耐药基因传播机制","https:\u002F\u002Fnew.qq.com\u002Frain\u002Fa\u002F20261019A084M600","中国农业科学院农业资源与农业区划研究所土壤植物互作创新团队揭示了生物炭阻控微塑料介导土壤抗生素耐药基因传播的作用机制，并构建微塑料-生物炭-抗生素耐药基因三元界面作用机理与数据驱动预测框架，成果发表在《Journal of Hazardous Materials》。研究指出微塑料进入土壤会吸附抗生素、重金属和病原微生物，为微生物定殖和生物膜提供专属微环境，而生物炭可从物理、遗传和生态三个层面削弱耐药基因传播。团队还提出面向治理的优先路线图，为新污染物协同治理与农田土壤安全利用提供理论支撑。","window.DATA = {\"url\":\"https:\u002F\u002Fview.inews.qq.com\u002Fa\u002F20261019A084M600\",\"article_id\":\"20261019A084M600\",\"atype\":\"0\",\"article_type\":\"0\",\"title\":\"生物炭为微塑料介导的土壤抗生素耐药基因传播“踩刹车”\",\"desc\":\"近日，中国农业科学院农业资源与农业区划研究所土壤植物互作创新团队揭示了生物炭阻控微塑料介导土壤抗生素耐药基因传播的作用机制，并构建“微塑料—生物炭—抗生素耐药基因”三元界面作用机理与数据驱动预测框架。相关研究成果发表在《危险材料杂志（Journal of Hazardous Materials）》上。抗生素耐药基因是潜伏在土壤中...\",\"iNewsRecommendLevel\":1,\"abstract\":\"近日，中国农业科学院农业资源与农业区划研究所土壤植物互作创新团队揭示了生物炭阻控微塑料介导土壤抗生素耐药基因传播的作用机制，并构建“微塑料—生物炭—抗生素耐药基因”三元界面作用机理与数据驱动预测框架。相关研究成果发表在《危险材料杂志（Journal of Hazardous Materials）》上。抗生素耐药基因是潜伏在土壤中...\",\"catalog1\":\"agriculture\",\"ad_channel_sign\":\"news\",\"introduction\":\"\",\"media\":\"中国农业科学院\",\"media_id\":\"20124819\",\"pubtime\":\"2026-10-19 14:48:21\",\"comment_id\":\"1261019605040990\",\"political\":0,\"cmsId\":\"20261019A084M600\",\"cms_id\":\"20261019A084M600\",\"closeAllAd\":0,\"closeAllFavorite\":false,\"originContent\":{\"directory\":{\"enable\":2},\"text\":\"\\u003cdiv class=\\\"rich_media_content\\\"\\u003e\\u003csection data-nest-level=\\\"2\\\" data-pm-slice=\\\"0 0 []\\\" style=\\\"box-sizing: border-box; color: rgb(62, 62, 62); font-size: 16px; font-style: normal; font-weight: 400; text-align: justify\\\"\\u003e\\u003cp data-pm-slice=\\\"0 0 []\\\" style=\\\"-webkit-font-smoothing: subpixel-antialiased; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-size: 16px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.75em; margin: 8px 0px; orphans: 2; outline: none; padding: 0px; text-align: justify; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 2em; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px\\\"\\u003e\\u003cspan leaf=\\\"\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e近日，中国农业科学院农业资源与农业区划研究所土壤植物互作创新团队揭示了\\u003c!--VERTICAL_CARD_BEGIN_0--\\u003e生物炭\\u003c!--VERTICAL_CARD_END_0--\\u003e阻控微塑料介导土壤抗生素耐药基因传播的作用机制，并构建“微塑料—生物炭—抗生素耐药基因”三元界面作用机理与数据驱动预测框架。相关研究成果发表在\\u003c\u002Fspan\\u003e\\u003cspan style=\\\"font-size: 17px; font-weight: bold; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e《危险材料杂志（Journal of Hazardous Materials）》\\u003c\u002Fspan\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e上。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003csection nodeleaf=\\\"\\\" style=\\\"-webkit-font-smoothing: subpixel-antialiased; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-size: 16px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin: 0px 0px 20px; orphans: 2; outline: none; padding: 0px; text-align: center; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px\\\"\\u003e\\u003c!--IMG_0--\\u003e\\u003c\u002Fsection\\u003e\\u003cp style=\\\"-webkit-font-smoothing: subpixel-antialiased; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-size: 16px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.75em; margin: 8px 0px; orphans: 2; outline: none; padding: 0px; text-align: justify; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 2em; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px\\\"\\u003e\\u003cspan leaf=\\\"\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e抗生素耐药基因是潜伏在土壤中的长期生态隐患。微塑料进入土壤会吸附抗生素、\\u003c!--SECURE_LINK_BEGIN_0--\\u003e重金属\\u003c!--SECURE_LINK_END_0--\\u003e和病原微生物，为微生物定殖和生物膜提供专属的“\\u003c!--VERTICAL_CARD_BEGIN_1--\\u003e塑料际\\u003c!--VERTICAL_CARD_END_1--\\u003e”微环境，共同加速耐药基因的传播风险。生物炭则可在物理、遗传和生态三个层面削弱耐药基因传播。它的效果取决于原料、\\u003c!--VERTICAL_CARD_BEGIN_2--\\u003e热解温度\\u003c!--VERTICAL_CARD_END_2--\\u003e、微塑料类型和老化程度以及土壤本底等因素。科研人员还提出面向治理的优先路线图，并倡导建立标准化数据报告规范、开放数据库及外部验证模型框架，旨在推动从描述性相关分析向可比较、可验证、可预测的风险管控范式转变，为新污染物协同治理与农田土壤安全利用提供坚实的理论支撑。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c!--EOP_0--\\u003e\\u003c\u002Fp\\u003e\\u003c!--PARAGRAPH_0--\\u003e\\u003cp style=\\\"-webkit-font-smoothing: subpixel-antialiased; 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background-color: rgb(255, 255, 255); box-sizing: border-box !important; color: rgba(0, 0, 0, 0.9); flex-direction: column; font-size: 17px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: 0.034em; line-height: 1.6; margin: 0px; max-width: none !important; orphans: 2; outline: 0px; overflow-wrap: break-word !important; padding: 0px; text-align: center; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; visibility: visible; widows: 2; word-spacing: 0px\\\"\\u003e\\u003cspan style=\\\"color: rgb(136, 136, 136); font-size: 15px\\\" textstyle=\\\"\\\"\\u003e姬悦\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fsection\\u003e\\u003csection class=\\\"js_darkmode__11\\\" data-nest-level=\\\"3\\\" data-pm-slice=\\\"0 0 []\\\" style=\\\"-webkit-tap-highlight-color: transparent; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box !important; color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: 0.544px; margin: 0px; max-width: 100%; orphans: 2; outline: 0px; overflow-wrap: break-word !important; padding: 0px; text-align: center; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; visibility: visible; white-space: normal; widows: 2; word-spacing: 0px\\\"\\u003e\\u003cspan data-nest-level=\\\"4\\\" data-pm-slice=\\\"0 0 []\\\"\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fsection\\u003e\\u003csection class=\\\"js_darkmode__11\\\" data-nest-level=\\\"3\\\" data-pm-slice=\\\"0 0 []\\\" style=\\\"-webkit-tap-highlight-color: transparent; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box !important; color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: 0.544px; margin: 0px; max-width: 100%; orphans: 2; outline: 0px; overflow-wrap: break-word !important; padding: 0px; text-align: center; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; visibility: visible; white-space: normal; widows: 2; word-spacing: 0px\\\"\\u003e\\u003cspan data-nest-level=\\\"4\\\" data-pm-slice=\\\"0 0 []\\\"\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fsection\\u003e\\u003csection data-nest-level=\\\"3\\\" data-pm-slice=\\\"0 \n[…全文已截断…]","中国农业科学院 2026-10-19","2026-10-19T00:00:00Z","报道",85,{"impact":18,"substance":18,"depth":17,"authority":144,"freshness":21,"relevant":22,"comment":363},"国家级科研机构在环境领域顶级期刊发表的新机制与新预测框架，专业增量明确，对土壤污染治理与绿色农业有参考价值，值得进入每日精选。",[365],{"name":358,"url":355},[27,28,367,368,369],"农业环保","微塑料","抗生素耐药基因",{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},[],{"status":47,"locked":14,"version":48,"method":49,"evidence":373},{"candidates":374,"agricultural_evidence":54},[375],{"code":41,"score":20,"supported":54,"title":376,"abstract":377,"tags":378},[57],[57],[28,27],[380,381],"中国农科院资划所 生物炭 微塑料","土壤 抗生素耐药基因 生物炭","中国农科院资划所生物炭微塑料-5423","2026-10-21T00:10:00.151313Z",{"id":385,"title":386,"url":387,"summary":388,"summary_zh":389,"content":9,"source_name":390,"source_url":387,"published_at":391,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":392,"score_detail":393,"sources":395,"tags":397,"primary_topic":402,"secondary_topics":403,"classification":404,"search_phrases":430,"slug":433,"view_count":173,"doi":434,"paper":435,"created_at":486},3351,"Integrated Land, Soil and Crop Information Systems in Ethiopia, Kenya, and Rwanda: Institutional Readiness and Implications for Climate-Smart Agriculture","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101776","Integrated land–soil–crop information systems are increasingly important for supporting climate-smart agricultural planning and implementation, yet their development in Eastern Africa is constrained by fragmented mandates, weak technical capacity, and limited data interoperability. This study assesses how institutional readiness, user demand, and technical and human-capacity conditions shape the integration of such systems into national Agricultural Knowledge and Innovation Systems (AKIS). A mixed-methods, multi-country assessment was conducted in Ethiopia, Kenya, and Rwanda (2022–2024), drawing on 145 semi-structured key-informant interviews, stakeholder mapping, national workshops, and a regional synthesis consultation. The analysis addressed three objectives: (i) diagnose institutional readiness and user demand; (ii) assess technical, infrastructural, and human-capacity requirements; and (iii) identify governance and design principles for embedding integrated information systems within AKIS and Climate-Smart Agriculture (CSA) strategies. The results show consistently high demand for spatially explicit soil and crop data but persistent fragmentation of mandates, uneven coordination, and substantial subnational capacity gaps. Despite these constraints, emerging digital-agriculture strategies, open-data policies, and regional soil-health initiatives provide potential entry points for integration. The study offers a comparative evidence base and design principles—covering governance, interoperability standards, co-production processes, and capacity strengthening—needed to transition from project-driven fragmentation toward interoperable and sustainable information systems. These findings provide diagnostic and design-oriented insights for national and regional efforts to strengthen agricultural information systems that support CSA implementation in Eastern Africa.","综合的土地—土壤—作物信息系统在支持气候智慧型农业规划与实施方面日益重要，但其在东非的发展受到职责分散、技术能力薄弱和数据互操作性有限的制约。本研究评估了制度准备度、用户需求以及技术和人力能力条件如何影响此类系统融入国家农业知识与创新系统（AKIS）。研究于2022—2024年在埃塞俄比亚、肯尼亚和卢旺达开展了混合方法、多国评估，基于145次半结构化关键知情人访谈、利益相关方映射、国家研讨会以及一次区域综合磋商。分析围绕三个目标展开：（i）诊断制度准备度和用户需求；（ii）评估技术、基础设施和人力能力需求；（iii）确定将综合信息系统嵌入AKIS和气候智慧型农业（CSA）战略的治理与设计原则。结果表明，对空间显式土壤和作物数据的需求持续较高，但职责分散、协调不均衡以及地方层面能力差距显著等问题长期存在。尽管存在这些制约，新兴的数字农业战略、开放数据政策和区域土壤健康倡议为整合提供了潜在切入点。本研究提供了比较性证据基础和设计原则——涵盖治理、互操作性标准、共同生产过程和能力建设——这些是从项目驱动的碎片化转向可互操作且可持续的信息系统所必需的。这些发现为国家和区域层面加强支持东非CSA实施的农业信息系统提供了诊断性和设计导向的见解。","Land","2026-09-23T00:00:00Z",81,{"impact":17,"substance":18,"depth":17,"authority":60,"freshness":123,"relevant":22,"comment":394},"基于三国145位关键知情人访谈的混合方法研究，为东非农业信息系统整合与气候智慧农业提供治理与设计原则，方法扎实、结论可靠，具区域政策参考价值。",[396],{"name":390,"url":387},[398,399,28,29,400,401],"数字农业","智慧农业","农业数据","数据互操作",{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},[],{"status":47,"locked":14,"version":48,"method":49,"evidence":405},{"candidates":406,"agricultural_evidence":54},[407,411,415,421,425],{"code":67,"score":122,"supported":54,"title":408,"abstract":409,"tags":410},[69],[398,69],[398,399],{"code":41,"score":144,"supported":54,"title":412,"abstract":413,"tags":414},[42],[57,42],[28],{"code":416,"score":173,"supported":54,"title":417,"abstract":418,"tags":420},"J1",[],[419],"农业规划",[],{"code":78,"score":22,"supported":14,"title":422,"abstract":423,"tags":424},[],[],[29],{"code":426,"score":22,"supported":14,"title":427,"abstract":428,"tags":429},"I6",[],[],[400],[431,432],"埃塞俄比亚 肯尼亚 卢旺达 农业信息系统","气候智慧农业 土壤作物数据","埃塞俄比亚肯尼亚卢旺达农业信息系统-3351","10.3390\u002Fland15101776",{"doi":434,"openalex_id":436,"authors":437,"venue":390,"cited_by_count":99,"oa_url":387,"card":480,"direction":106,"ingested_from":107},"W7214079859",[438,441,444,446,448,451,454,457,459,462,465,468,471,474,477],{"name":439,"orcid":440},"John Walker Recha","https:\u002F\u002Forcid.org\u002F0000-0002-1146-7197",{"name":442,"orcid":443},"A. Kooiman","https:\u002F\u002Forcid.org\u002F0000-0001-8208-6781",{"name":445,"orcid":9},"Thaïsa van der Woude",{"name":447,"orcid":9},"Hanneke Heesmans",{"name":449,"orcid":450},"Ermias Aynekulu","https:\u002F\u002Forcid.org\u002F0000-0002-1955-6995",{"name":452,"orcid":453},"Angela Nduta Gitau","https:\u002F\u002Forcid.org\u002F0000-0002-8963-2375",{"name":455,"orcid":456},"Pascal Debons","https:\u002F\u002Forcid.org\u002F0000-0001-6314-9935",{"name":458,"orcid":9},"Frank van Weert",{"name":460,"orcid":461},"Michael Okoti","https:\u002F\u002Forcid.org\u002F0000-0002-9550-8258",{"name":463,"orcid":464},"Elizabeth A. Okwuosa","https:\u002F\u002Forcid.org\u002F0000-0001-5941-7423",{"name":466,"orcid":467},"Kennedy Were","https:\u002F\u002Forcid.org\u002F0000-0002-8012-6812",{"name":469,"orcid":470},"Girma Mamo Diga","https:\u002F\u002Forcid.org\u002F0000-0002-2593-3187",{"name":472,"orcid":473},"Dejene Abera","https:\u002F\u002Forcid.org\u002F0000-0003-3692-8620",{"name":475,"orcid":476},"Pierre Celestin Ndayisaba","https:\u002F\u002Forcid.org\u002F0000-0002-8400-9146",{"name":478,"orcid":479},"Jules Rutebuka","https:\u002F\u002Forcid.org\u002F0000-0002-5236-3503",{"tldr":481,"method":482,"finding":483,"direction":484,"opportunity":485},"评估埃塞俄比亚、肯尼亚和卢旺达三国土地-土壤-作物综合信息系统的机构准备度与整合路径。","2022-2024年三国混合方法评估，含145个关键知情人访谈、利益相关方映射与","三国对空间化土壤作物数据需求高，但机构职责碎片化、协调不均、地方能力缺口大。","数字乡村与农业信息化","可研究开放数据政策与区域土壤健康倡议如何作为切入点，推动跨部门互操作标准与联合生产能力建设。","2026-09-24T23:30:10.120978Z",{"id":488,"title":489,"url":490,"summary":491,"summary_zh":492,"content":9,"source_name":118,"source_url":490,"published_at":391,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":493,"score_detail":494,"sources":497,"tags":499,"primary_topic":503,"secondary_topics":509,"classification":517,"search_phrases":551,"slug":554,"view_count":555,"doi":556,"paper":557,"created_at":584},3340,"Characterization of cattle manure-derived biochar and its synergistic effects with inorganic and organic fertilizers on soil properties, microbial community, and forage maize yield","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1936002","The impact of biochar on soil fertility and plant growth depends on its feedstock, physiochemical properties, and porous structure. However, cattle manure-derived biochar has been less used in practice, and its effectiveness on improving crop yield and the underlying mechanism are still unclear. This study characterized the properties and structures of biochar pyrolyzed from cattle manure from 200 °C to 600 °C. Subsequently, a field experiment was conducted to investigate the influence of biochar and its mixture with inorganic or organic fertilizer on soil properties, microbial community structure, and maize growth and yield. Based on a combined consideration of biochar yield, pore characteristics, specific surface area, and functional-group retention, 300 °C was selected as a suitable target pyrolysis temperature, with a relatively high biochar yield of 75.93%. The results revealed that reducing the inorganic fertilizer application rate by 50% and supplementing with biochar (FB50) resulted in a maize yield of 63.33 t·hm −2 , which was 9.83% higher than that under full inorganic fertilizer application (F; 57.67 t·hm −2 ), although the difference was not statistically significant, suggesting a sustainable approach to reducing chemical fertilizer use. Biochar likely improved maize growth by supporting keystone microbial taxa such as Chloroflexi , Proteobacteria , and Firmicutes , which are involved in nutrient cycling and enzymatic activities. Furthermore, co-applying biochar with organic fertilizer improved soil properties and microbial diversity, but did not improve maize production. Specifically, adding full-rate biochar (MB100) increased soil pH from 4.78 to 5.31 and soil organic carbon by 75.22% relative to manure alone (B). Overall, cattle manure-derived biochar offers a practical waste management solution, improving plant yields and soil health, while reducing chemical fertilizer reliance.","生物炭对土壤肥力和植物生长的影响取决于其原料、理化性质和多孔结构。然而，牛粪源生物炭在实际生产中应用较少，其提高作物产量的效果及潜在机制尚不清楚。本研究对200 °C至600 °C热解牛粪制备的生物炭的性质和结构进行了表征。随后，通过田间试验研究了生物炭及其与无机或有机肥料配施对土壤性质、微生物群落结构以及玉米生长和产量的影响。综合考虑生物炭产率、孔隙特征、比表面积和官能团保留情况，选择300 °C作为适宜的目标热解温度，此时生物炭产率较高，为75.93%。结果表明，将无机肥施用量减少50%并配施生物炭（FB50）可使玉米产量达到63.33 t·hm⁻²，比全量无机肥处理（F；57.67 t·hm⁻²）高9.83%，尽管差异未达统计显著水平，但这表明了一种减少化肥使用的可持续途径。生物炭可能通过支持关键微生物类群如绿弯菌门（Chloroflexi）、变形菌门（Proteobacteria）和厚壁菌门（Firmicutes）来促进玉米生长，这些微生物参与养分循环和酶活性。此外，生物炭与有机肥配施改善了土壤性质和微生物多样性，但未提高玉米产量。具体而言，与单施粪肥（B）相比，添加全量生物炭（MB100）使土壤pH从4.78提高到5.31，土壤有机碳增加了75.22%。总体而言，牛粪源生物炭提供了一种实用的废弃物管理方案，既能提高植物产量和土壤健康，又能减少对化肥的依赖。",72,{"impact":217,"substance":495,"depth":53,"authority":20,"freshness":123,"relevant":22,"comment":496},21,"牛粪生物炭热解参数与田间试验数据扎实，为粪污资源化与化肥减施提供实证，但属细分领域研究，公共影响有限。",[498],{"name":118,"url":490},[27,500,501,30,502],"化肥减量","青贮玉米","畜禽粪污资源化",{"code":504,"slug":505,"name":506,"path":507,"parent_code":508},"A3","maize","玉米","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[510,511],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"code":512,"slug":513,"name":514,"path":515,"parent_code":516},"C2","ruminants","草食牲畜","\u002Ftopic\u002Flivestock\u002Fruminants","C",{"status":47,"locked":14,"version":48,"method":49,"evidence":518},{"candidates":519,"agricultural_evidence":54},[520,524,528,534,540,545],{"code":41,"score":122,"supported":54,"title":521,"abstract":522,"tags":523},[42],[57,42],[30,27],{"code":504,"score":144,"supported":54,"title":525,"abstract":526,"tags":527},[505],[506,505],[501],{"code":512,"score":529,"supported":54,"title":530,"abstract":532,"tags":533},11,[531],"cattle",[531],[],{"code":535,"score":123,"supported":54,"title":536,"abstract":538,"tags":539},"C4",[537],"forage",[],[501],{"code":73,"score":325,"supported":54,"title":541,"abstract":542,"tags":544},[],[543,162],"肥料",[500],{"code":546,"score":173,"supported":54,"title":547,"abstract":548,"tags":550},"H6",[],[549],"生物多样性",[],[552,553],"牛粪生物炭 化肥减量 玉米","畜禽粪污资源化 土壤微生物 化肥减量 青贮玉米","牛粪生物炭化肥减量玉米-3340",4,"10.3389\u002Ffsufs.2026.1936002",{"doi":556,"openalex_id":558,"authors":559,"venue":118,"cited_by_count":99,"oa_url":490,"card":579,"direction":104,"ingested_from":107},"W7214105860",[560,563,565,568,570,572,574,577],{"name":561,"orcid":562},"Yuanfeng Zhao","https:\u002F\u002Forcid.org\u002F0000-0001-6762-7906",{"name":564,"orcid":9},"Ruofei Guan",{"name":566,"orcid":567},"Jiang Ran","https:\u002F\u002Forcid.org\u002F0009-0001-4635-2402",{"name":569,"orcid":9},"Q. Wang",{"name":571,"orcid":9},"Hao Deng",{"name":573,"orcid":9},"Jingrui Zhou",{"name":575,"orcid":576},"Kaikai Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6380-4928",{"name":578,"orcid":9},"Nan Jiang",{"tldr":580,"method":581,"finding":582,"direction":104,"opportunity":583},"研究牛粪生物炭特性及其与无机\u002F有机肥配施对土壤、微生物和青贮玉米产量的影响。","200-600°C热解牛粪生物炭表征，结合田间试验分析土壤、微生物与玉米产量。","300°C热解生物炭配合减半无机肥使玉米增产9.83%，并改善土壤与微生物群落。","可探究牛粪生物炭替代化肥的长期固碳效应及不同土壤类型下的微生物调控机制。","2026-09-24T23:30:07.724953Z"]