[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5423":3,"related-5423":57},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":51,"slug":54,"view_count":55,"doi":8,"paper":8,"created_at":56},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。",null,"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; 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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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margin: 0px 0px 20px; padding: 0px; -webkit-font-smoothing: subpixel-antialiased; text-align: justify; color: rgb(0, 0, 0); font-family: \\\\\\u0026#34;Microsoft YaHei\\\\\\u0026#34;, 微软雅黑, SimSun, 宋体, SimHei, \\\\\\u0026#34;STHeiti Light\\\\\\u0026#34;, STHeiti, \\\\\\u0026#34;Lucida Grande\\\\\\u0026#34;, Tahoma, Arial, Helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; text-indent: 2em;\\u0026#34;},\\u0026#34;namespaceURI\\u0026#34;:\\u0026#34;http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxhtml\\u0026#34;,\\u0026#34;data-layout-id\\u0026#34;:null}]\\\" leaf=\\\"\\\" 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); 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",10,false,85,{"impact":17,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,18,15,8,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"生物炭","土壤健康","农业环保","微塑料","抗生素耐药基因",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44],{"code":32,"score":45,"supported":46,"title":47,"abstract":49,"tags":50},13,true,[48],"土壤",[48],[27,26],[52,53],"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",0,"2026-10-21T00:10:00.151313Z",{"total":58,"page":21,"page_size":58,"items":59},6,[60,145,220,315,380,422],{"id":61,"title":62,"url":63,"summary":64,"summary_zh":65,"content":8,"source_name":66,"source_url":63,"published_at":67,"category":68,"cover_url":8,"hotness":13,"is_selected":14,"score":69,"score_detail":70,"sources":73,"tags":75,"primary_topic":80,"secondary_topics":86,"classification":88,"search_phrases":119,"slug":122,"view_count":21,"doi":123,"paper":124,"created_at":144},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","Asian Journal of Soil Science and Plant Nutrition","2026-09-18T00:00:00Z","论文",80,{"impact":18,"substance":17,"depth":71,"authority":45,"freshness":20,"relevant":21,"comment":72},19,"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。",[74],{"name":66,"url":63},[26,27,76,77,78,79],"气候智慧农业","土壤微生物","温室气体减排","养分利用效率",{"code":81,"slug":82,"name":83,"path":84,"parent_code":85},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",[87],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":89},{"candidates":90,"agricultural_evidence":46},[91,96,103,109,114],{"code":32,"score":92,"supported":46,"title":93,"abstract":94,"tags":95},17,[33],[48,33],[27,77,26],{"code":81,"score":97,"supported":46,"title":98,"abstract":100,"tags":102},14,[99],"greenhouse",[101,99],"温室",[],{"code":104,"score":20,"supported":46,"title":105,"abstract":107,"tags":108},"I1",[106],"smart agriculture",[],[],{"code":110,"score":21,"supported":14,"title":111,"abstract":112,"tags":113},"F3",[],[],[79],{"code":115,"score":21,"supported":14,"title":116,"abstract":117,"tags":118},"H7",[],[],[76],[120,121],"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":123,"openalex_id":125,"authors":126,"venue":66,"cited_by_count":55,"oa_url":63,"card":136,"direction":142,"ingested_from":143},"W7213554252",[127,129,132,134],{"name":128,"orcid":8},"K. G. Rosin",{"name":130,"orcid":131},"Aditya V Machnoor","https:\u002F\u002Forcid.org\u002F0009-0001-5777-9188",{"name":133,"orcid":8},"Rakesh Kokatnoor",{"name":135,"orcid":8},"Arun S. Kalasad",{"tldr":137,"method":138,"finding":139,"direction":140,"opportunity":141},"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",{"id":146,"title":147,"url":148,"summary":149,"summary_zh":150,"content":8,"source_name":151,"source_url":148,"published_at":11,"category":68,"cover_url":8,"hotness":13,"is_selected":14,"score":152,"score_detail":153,"sources":157,"tags":159,"primary_topic":164,"secondary_topics":165,"classification":166,"search_phrases":193,"slug":196,"view_count":55,"doi":197,"paper":198,"created_at":219},5490,"Biochar for post-war land remediation in Ukraine: A critical review supported by bibliometric analysis","https:\u002F\u002Fdoi.org\u002F10.1093\u002Finteam\u002Fvjag167","This critical review analyzes the current state of scientific research on biochar in Europe and examines its potential use for post-war restoration and improvement of soil fertility in Ukraine. A bibliometric analysis of scientific publications in the Scopus and Web of Science databases for the period 2014-2023 was conducted using VOSviewer visualization and data processing methods. The analysis identified the main areas of research and gaps in knowledge that are relevant to the future application of this technology in Ukraine. Moreover, remote sensing methodologies were employed to identify potential remediation requirements in the Ukrainian territory. This involved the analysis of changes in the normalized difference vegetation index (NDVI) and the normalized difference moisture index (NDMI) of a part of Ukraine's agricultural territory situated along the frontline, prior to and following a period of three years during a full-scale war. The results revealed changes in vegetation and moisture levels, indicating land degradation in the border area under study. However, these observations do not constitute direct evidence of soil contamination or the effectiveness of biochar; rather, they indicate areas where further field studies and an assessment of restoration measures are needed. A strengths, weaknesses, opportunities, and threats (SWOT) analysis was used as a strategic discussion tool to identify the opportunities and challenges associated with the implementation of biochar in Ukraine. This review also identifies the main scientific uncertainties, barriers, economic aspects, and research priorities that should be considered before the large-scale implementation of biochar-based technologies in Ukraine.","这篇批判性综述分析了欧洲生物炭（biochar）科学研究的现状，并探讨其在乌克兰战后恢复与土壤肥力提升中的潜在应用。研究采用VOSviewer可视化与数据处理方法，对Scopus和Web of Science数据库中2014—2023年的科学出版物进行了文献计量分析。分析识别了与该项技术在乌克兰未来应用相关的主要研究领域和知识空白。此外，研究采用遥感方法识别乌克兰境内潜在的修复需求，具体包括对乌克兰沿前线部分农业区域在全面战争前后三年期间的归一化植被指数（NDVI）和归一化水分指数（NDMI）变化进行分析。结果显示植被与水分水平发生变化，表明所研究边境地区存在土地退化。然而，这些观测结果并不构成土壤污染或生物炭有效性的直接证据，而是指示了需要进一步开展田间研究和评估修复措施的区域。研究采用优势、劣势、机会与威胁（SWOT）分析作为战略讨论工具，识别在乌克兰实施生物炭相关的机遇与挑战。本综述还明确了在乌克兰大规模实施基于生物炭的技术之前应考虑的主要科学不确定性、障碍、经济因素及研究优先事项。","Integrated Environmental Assessment and Management",77,{"impact":154,"substance":155,"depth":18,"authority":97,"freshness":20,"relevant":21,"comment":156},16,21,"该综述结合文献计量与遥感NDVI\u002FNDMI分析，评估生物炭用于乌克兰战后农田修复的潜力与不确定性，方法新颖、结论审慎，对农业遥感与土壤治理具参考价值，但属区域性研究，未达重大突破层级。",[158],{"name":151,"url":148},[26,160,161,162,163],"土地退化","遥感监测","土壤修复","乌克兰农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":167},{"candidates":168,"agricultural_evidence":46},[169,176,180,188],{"code":170,"score":97,"supported":46,"title":171,"abstract":173,"tags":175},"I7",[172],"bibliometric",[174,172],"文献计量",[],{"code":32,"score":20,"supported":46,"title":177,"abstract":178,"tags":179},[],[48,33],[162,26],{"code":181,"score":182,"supported":46,"title":183,"abstract":184,"tags":187},"I3",7,[],[185,186],"遥感","remote sensing",[161],{"code":189,"score":21,"supported":14,"title":190,"abstract":191,"tags":192},"H1",[],[],[160],[194,195],"生物炭 战后土壤修复 乌克兰","NDVI NDMI 遥感 土地退化","生物炭战后土壤修复乌克兰-5490","10.1093\u002Finteam\u002Fvjag167",{"doi":197,"openalex_id":199,"authors":200,"venue":151,"cited_by_count":55,"oa_url":8,"card":213,"direction":218,"ingested_from":143},"W7223053668",[201,204,207,210],{"name":202,"orcid":203},"Olha Shomko","https:\u002F\u002Forcid.org\u002F0000-0003-2418-0985",{"name":205,"orcid":206},"Iryna Davydova","https:\u002F\u002Forcid.org\u002F0000-0001-6535-3948",{"name":208,"orcid":209},"Marco Bartoli","https:\u002F\u002Forcid.org\u002F0000-0002-5022-6206",{"name":211,"orcid":212},"Elena Maestri","https:\u002F\u002Forcid.org\u002F0000-0002-8745-9564",{"tldr":214,"method":215,"finding":216,"direction":140,"opportunity":217},"综述生物炭用于乌克兰战后土地修复，结合文献计量与遥感分析。","Scopus\u002FWoS文献计量、VOSviewer、NDVI\u002FNDMI遥感与SWO","前线农区植被与湿度变化显示土地退化，但需田间验证生物炭效果。","可研究战区土地退化的遥感快速诊断与生物炭修复效果的田间验证体系。","农业遥感与作物表型","2026-10-21T23:30:25.223030Z",{"id":221,"title":222,"url":223,"summary":224,"summary_zh":225,"content":8,"source_name":226,"source_url":223,"published_at":227,"category":68,"cover_url":8,"hotness":13,"is_selected":14,"score":228,"score_detail":229,"sources":233,"tags":235,"primary_topic":240,"secondary_topics":245,"classification":247,"search_phrases":266,"slug":269,"view_count":55,"doi":270,"paper":271,"created_at":314},5467,"Temperature-directed valorisation of coconut frond through pyrolysis for carbon sequestration and sustainable agricultural residue management","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1966170","Coconut frond, an abundantly generated yet underutilized agricultural residue, was pyrolysed at 350 °C, 450 °C, and 550 °C alongside traditionally produced biochar (BC Trad) to evaluate the effects of pyrolysis temperature on physicochemical characteristics, fuel properties, carbon stability, and residue-valorisation potential. Comprehensive characterization using proximate and ultimate analyses, BET\u002FBJH, FTIR, XRD, Raman spectroscopy, SEM-EDS, total pyrogenic carbon (TPC), estimated CO 2 -equivalent stable-carbon retention potential, fuel and energy indices, and 90-day carbon mineralization incubation revealed pronounced temperature-dependent transformations. Biochar carbon recovery was highest at 350 °C (78.91%), demonstrating greater retention of feedstock carbon at lower pyrolysis temperature, whereas increasing temperature progressively enhanced carbon concentration, fixed carbon, thermostable carbon fraction, porosity, and surface area. BET surface area increased from 4.45 m 2 g −1 in BC Trad to 16.67 m 2 g −1 in BC550, accompanied by progressive pore refinement and depletion of oxygen-containing functional groups. Raman spectroscopy showed a decline in ID\u002FIG from 1.28 to 0.80, consistent with increasing structural ordering and aromatic condensation at higher temperatures. Fuel quality also improved with increasing temperature, with higher heating value increasing from 20.72 to 25.56 MJ kg −1 and fuel ratio from 1.49 to 4.26. TPC and estimated CO 2 -equivalent stable-carbon retention potential were highest at BC350 (0.29 kg C kg −1 feedstock and 0.86 kg CO 2 kg −1 feedstock, respectively), whereas BC550 exhibited the lowest apparent net soil-system carbon mineralization among the biochars during the 90-day incubation. Separately, its lower H\u002FC and O\u002FC ratios corresponded to a modelled BC +100 stability index of 0.720 and an estimated mean residence time of 347.61 years, providing model-derived indications of longer-term carbon persistence. Overall, the findings demonstrate a clear temperature-dependent trade-off between carbon recovery and carbon stability, with BC350 providing greater structural recalcitrance and apparent short-term mineralization resistance; the optimal pyrolysis temperature therefore depends on the intended end use rather than a single treatment being universally superior. Together, the short-term mineralization results and model-derived stability estimates indicate distinct dimensions of carbon persistence that should be considered when optimizing coconut-frond pyrolysis for sustainable agricultural-residue management, durable soil-carbon sequestration, and circular bioeconomy applications.","椰子叶是一种大量产生但未充分利用的农业废弃物，其在350 °C、450 °C和550 °C下热解，并与传统生产的生物炭（BC Trad）进行对比，以评估热解温度对理化特性、燃料性质、碳稳定性及残余物增值潜力的影响。采用工业分析和元素分析、BET\u002FBJH、FTIR、XRD、拉曼光谱、SEM-EDS、总热解碳（TPC）、估算CO₂当量稳定碳保留潜力、燃料与能量指标以及90天碳矿化培养进行综合表征，揭示了显著的温度依赖性变化。生物炭碳回收率在350 °C时最高（78.91%），表明较低热解温度下原料碳的保留更多，而升高温度则逐步提高碳浓度、固定碳、热稳定碳组分、孔隙率和比表面积。BET比表面积从BC Trad的4.45 m² g⁻¹增至BC550的16.67 m² g⁻¹，同时伴随孔隙细化和含氧官能团的消耗。拉曼光谱显示ID\u002FIG从1.28降至0.80，与较高温度下结构有序性和芳香缩合度增加相一致。燃料品质亦随温度升高而改善，高位热值从20.72增至25.56 MJ kg⁻¹，燃料比从1.49增至4.26。TPC和估算CO₂当量稳定碳保留潜力在BC350时最高（分别为0.29 kg C kg⁻¹原料和0.86 kg CO₂ kg⁻¹原料），而BC550在90天培养期间表现出生物炭中最低的表观净土壤系统碳矿化。此外，其较低的H\u002FC和O\u002FC比对应模拟BC +100稳定性指数为0.720，估算平均停留时间为347.61年，提供了模型推导的较长时期碳持久性指示。总体而言，研究结果揭示了碳回收与碳稳定性之间明显的温度依赖性权衡，BC350表现出更高的结构惰性和表观短期抗矿化性；因此，最佳热解温度取决于预期最终用途，而非单一处理普遍优越。短期矿化结果与模型推导的稳定性估算共同表明，碳持久性具有不同维度，应予考虑。","Frontiers in Sustainable Food Systems","2026-10-20T00:00:00Z",74,{"impact":230,"substance":17,"depth":18,"authority":45,"freshness":231,"relevant":21,"comment":232},12,9,"该研究系统考察了热解温度对椰叶生物炭碳回收与碳稳定性的权衡关系，数据翔实、结论可靠，对农业废弃物资源化与土壤固碳具有参考价值，但属于细分领域基础研究，公共影响有限。",[234],{"name":226,"url":223},[26,236,237,238,239],"农业废弃物","秸秆利用","土壤固碳","热解技术",{"code":241,"slug":242,"name":243,"path":244,"parent_code":36},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon",[246],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":248},{"candidates":249,"agricultural_evidence":46},[250,256,260],{"code":241,"score":251,"supported":46,"title":252,"abstract":254,"tags":255},11,[253],"carbon sequestration",[253],[],{"code":32,"score":20,"supported":46,"title":257,"abstract":258,"tags":259},[],[48,33],[238,26],{"code":261,"score":262,"supported":46,"title":263,"abstract":264,"tags":265},"H5",5,[],[236],[236,237],[267,268],"椰叶 热解 生物炭","生物炭 碳封存 农业废弃物","椰叶热解生物炭-5467","10.3389\u002Ffsufs.2026.1966170",{"doi":270,"openalex_id":272,"authors":273,"venue":226,"cited_by_count":55,"oa_url":308,"card":309,"direction":140,"ingested_from":143},"W7223016223",[274,277,279,282,285,287,290,293,295,298,300,303,306],{"name":275,"orcid":276},"Morasanahalli Lokesha Sachin","https:\u002F\u002Forcid.org\u002F0009-0008-8615-0822",{"name":278,"orcid":8},"Yogananda Shivalli Boregowda",{"name":280,"orcid":281},"Matadadoddi Nanjundegowda Thimmegowda","https:\u002F\u002Forcid.org\u002F0000-0001-7632-1036",{"name":283,"orcid":284},"M. A. Ananthakumar","https:\u002F\u002Forcid.org\u002F0000-0003-4376-9541",{"name":286,"orcid":8},"Pudiyanda Shadali Fathima",{"name":288,"orcid":289},"C. M. Sunil","https:\u002F\u002Forcid.org\u002F0000-0002-9625-5686",{"name":291,"orcid":292},"K. M. Pravalika","https:\u002F\u002Forcid.org\u002F0009-0004-5258-392X",{"name":294,"orcid":8},"M.C. Anjali",{"name":296,"orcid":297},"Sathisha Govinakere Sambegowda","https:\u002F\u002Forcid.org\u002F0009-0000-8620-6461",{"name":299,"orcid":8},"B. Divya",{"name":301,"orcid":302},"M. K. Shruthi","https:\u002F\u002Forcid.org\u002F0000-0003-3703-9817",{"name":304,"orcid":305},"Santosh Onte","https:\u002F\u002Forcid.org\u002F0009-0002-8367-1303",{"name":307,"orcid":8},"Sanjeev Kumar","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1966170\u002Fpdf",{"tldr":310,"method":311,"finding":312,"direction":140,"opportunity":313},"研究不同热解温度对椰叶生物炭碳固存与稳定性的影响。","350\u002F450\u002F550°C热解椰叶，多手段表征并做90天矿化培养。","碳回收率与碳稳定性随温度呈权衡，最佳温度取决于用途。","可探索热解温度与还田情景耦合的长期碳固存模型及经济性评估。","2026-10-21T23:30:07.083785Z",{"id":316,"title":317,"url":318,"summary":319,"summary_zh":320,"content":8,"source_name":226,"source_url":318,"published_at":321,"category":68,"cover_url":8,"hotness":13,"is_selected":14,"score":322,"score_detail":323,"sources":325,"tags":327,"primary_topic":332,"secondary_topics":333,"classification":334,"search_phrases":353,"slug":356,"view_count":55,"doi":357,"paper":358,"created_at":379},5072,"Exploring the influence of farmers’ networks and social interactions to sustain soil health management","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1823295","Introduction Soil health management practices have increasingly been promoted across US agroecosystems to address many interrelated environmental and economic food system challenges. Sustaining soil health management behavior—through farmer’s adoption and continued use of practices—is key to ensuring that these challenges are addressed and also known to be in part influenced by farmers social networks and interactions. Methods Drawing on the diffusion of innovation theories, this grounded theory study explores the influence of networks and social interactions on farmers sustaining soil health management. In-depth interviews were conducted with eight participants of a partnership integrating on-farm experimentation and outreach in the U.S. Midwestern agroecosystem. Results Four interrelated dimensions emerged as influencing sustained soil health management: (1) peer influences and social interactions, including land tenure arrangements, perceived acceptance within farming communities, and farming traditions; (2) co-learning processes that supported collaborative knowledge development; (3) expansion of farmer networks through on-farm experimentation and demonstration activities; and (4) experiential tradeoffs associated with practice implementation. Farmers described how participation in on-farm research increased opportunities for peer exchange, field-day engagement, and knowledge sharing while strengthening confidence in management decisions through trialability. At the same time, participants highlighted barriers to long-term practice use related to social expectations, management challenges, and competing farm priorities. Discussion Our findings emphasize that soil health management practice adoption is not a one-time decision, but rather a dynamic process in part influenced by farmers networks and social interactions. Applying factors such as landowner–tenant relationships, perception of acceptance within specific network groups, farming practices carried out by previous generations, and collaborative construction of soil health knowledge as well as prioritizing social components when designing on-farm approaches to experimentation can help sustain soil health management.","引言 在美国的农业生态系统中，土壤健康管理实践日益受到推广，以应对粮食系统中许多相互关联的环境和经济挑战。维持土壤健康管理行为——通过农民的采纳和持续使用实践——是确保这些挑战得到解决的关键，并且已知这部分受到农民社会网络和互动的影响。方法 借鉴创新扩散理论，本扎根理论研究探讨了网络和社会互动对农民维持土壤健康管理的影响。对美国中西部农业生态系统中一个整合了农场试验和推广的合作项目的八名参与者进行了深度访谈。结果 出现了四个相互关联的维度影响持续的土壤健康管理：（1）同伴影响和社会互动，包括土地权属安排、在农业社区内感知到的接受度以及农业传统；（2）支持协作知识发展的共同学习过程；（3）通过农场试验和示范活动扩大农民网络；（4）与实践实施相关的经验性权衡。农民描述了参与农场研究如何增加了同伴交流、田间日活动和知识分享的机会，同时通过可试验性增强了管理决策的信心。与此同时，参与者强调了与长期实践使用相关的障碍，涉及社会期望、管理挑战和相互竞争的农场优先事项。讨论 我们的发现强调，土壤健康管理实践的采纳不是一次性决定，而是一个动态过程，部分受到农民网络和社会互动的影响。应用诸如地主与佃农关系、在特定网络群体内感知到的接受度、前几代人开展的农业实践以及土壤健康知识的协作构建等因素，并在设计农场试验方法时优先考虑社会因素，可以帮助维持土壤健康管理。","2026-10-15T00:00:00Z",63,{"impact":20,"substance":18,"depth":154,"authority":45,"freshness":20,"relevant":21,"comment":324},"基于扎根理论的质性研究，样本仅8人但揭示了农户网络与社交互动对土壤健康管理持续采纳的作用机制，对农技推广与数字乡村社交化传播有参考价值。",[326],{"name":226,"url":318},[328,27,329,330,331],"农业技术推广","田间试验","农户社交网络","采纳行为",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":335},{"candidates":336,"agricultural_evidence":46},[337,341,348],{"code":32,"score":19,"supported":46,"title":338,"abstract":339,"tags":340},[33],[48,33],[27],{"code":342,"score":343,"supported":46,"title":344,"abstract":345,"tags":347},"H6",3,[],[346],"农业生态",[],{"code":349,"score":21,"supported":14,"title":350,"abstract":351,"tags":352},"G1",[],[],[328],[354,355],"美国中西部 土壤健康 农户网络","农场试验 知识共享 土壤管理","美国中西部土壤健康农户网络-5072","10.3389\u002Ffsufs.2026.1823295",{"doi":357,"openalex_id":359,"authors":360,"venue":226,"cited_by_count":55,"oa_url":318,"card":373,"direction":377,"ingested_from":143},"W7222303587",[361,364,367,370],{"name":362,"orcid":363},"Fernanda Souza Krupek","https:\u002F\u002Forcid.org\u002F0000-0002-6132-2770",{"name":365,"orcid":366},"Taylor K. Ruth","https:\u002F\u002Forcid.org\u002F0000-0002-5269-9154",{"name":368,"orcid":369},"Daren D. Redfearn","https:\u002F\u002Forcid.org\u002F0000-0003-0295-3131",{"name":371,"orcid":372},"Andrea Basche","https:\u002F\u002Forcid.org\u002F0000-0001-6805-8522",{"tldr":374,"method":375,"finding":376,"direction":377,"opportunity":378},"基于扎根理论访谈八位农户，探究社交网络与互动如何影响土壤健康管理行为的持续。","扎根理论，深度访谈美国中西部八位参与农场试验的农户。","持续管理受同伴影响、共同学习、网络扩展和体验权衡四维度共同作用，非一次性决策。","数字乡村与农业信息化","可研究数字社交平台与在线农户网络如何补充线下互动，促进土壤健康管理持续采纳。","2026-10-16T23:30:06.505721Z",{"id":381,"title":382,"url":383,"summary":384,"summary_zh":8,"content":385,"source_name":386,"source_url":8,"published_at":321,"category":12,"cover_url":8,"hotness":387,"is_selected":46,"score":388,"score_detail":389,"sources":392,"tags":397,"primary_topic":400,"secondary_topics":401,"classification":402,"search_phrases":417,"slug":420,"view_count":55,"doi":8,"paper":8,"created_at":421},5046,"广东省农科院资环所揭示秸秆与生物炭协同固碳新机制登《Environmental Science & Technology》","https:\u002F\u002Fwww.gdaas.cn\u002Fkxyjn\u002Fkyjz\u002Fcontent\u002Fpost_1340655.html","广东省农业科学院资环所联合浙江大学在环境领域顶刊Environmental Science & Technology(IF=12.2)发表研究,采用镜像13C同位素标记技术结合单细胞拉曼光谱分选与13C标记细胞宏基因组学,揭示秸秆与生物炭协同呈现\"互补效应\":生物炭\"减损保蓄\"秸秆碳,秸秆\"激活赋能\"生物炭碳,实现土壤碳库\"质\"与\"量\"同步提升,突破将二者视为独立碳源的传统认知。","近日，资环所等单位联合在环境领域顶级期刊Environmental Science & Technology（中科院环境科学与生态学TOP，IF=12.2）上发表题为“Biochar−Straw Interaction Drives Soil Carbon Accrual by Modulating Microbial Metabolic Pathways”的研究论文。资环所博士后马睿为论文第一作者，资环所刘忠珍研究员和浙江大学罗煜教授为论文共同通讯作者。\n\n针对秸秆与生物炭共同施用时如何相互作用、协同固碳机制等问题，团队采用镜像 13C 同位素标记技术，结合单细胞拉曼光谱分选与13C标记细胞宏基因组学技术，实现了对两种碳源去向的精准追踪，并在单细胞水平上为秸秆与生物炭之间的双向互作机制提供了直接证据。研究发现，二者协同呈现鲜明的“互补效应”：生物炭为秸秆“减损保蓄”—— 配施生物炭后，秸秆碳矿化损失显著降低，更多碳流向富里酸（FA）、胡敏酸（HA）等稳定有机组分。微生物群落结构从“快速消耗、以呼吸为主”转向“合成代谢、构建有机质”，几丁质杆菌等菌群富集，并伴随磷脂合成、苯乙酰辅酶 A 等固碳相关通路增强。秸秆为生物炭“激活赋能”—— 配施秸秆后，生物炭中部分碳被适度活化，溶解态碳增加，同时更多向活性有机质组分（FA和HA）转化。利用生物炭的群落功能从“只维持基础呼吸”的极简模式到芳香环分解、醌介导电子传递、胞外多糖合成等更全面的功能通路被激活，把原本“锁死”的碳接入转化通道，使原本“沉默”的生物炭碳逐步融入土壤物质循环。\n\n研究进一步指出，生物炭和秸秆配施是双向配合，即生物炭“稳”秸秆、秸秆“活”生物炭，揭示了“选择性代谢分流—氧化还原活化—界面介导保留”三个过程相互耦合的潜在机制，实现土壤碳库 “质” 与 “量” 同步提升。这一发现突破了将秸秆与生物炭视为独立碳源的传统认知，证明二者通过调控微生物群落结构与代谢功能，实现“1+1>2”的固碳效果，为解释两者配施促进土壤有机碳积累提供了更为完整的微生物学认识，为农田有机物料管理提供了理论依据。","广东省农业科学院 资环所 2026年10月15日",25,89,{"impact":17,"substance":390,"depth":71,"authority":97,"freshness":13,"relevant":21,"comment":391},24,"顶级期刊论文，方法新颖、结论可靠，揭示秸秆与生物炭协同固碳机制，对农田有机物料管理和农业碳汇具有理论与实践价值。",[393,394],{"name":386,"url":383},{"name":395,"url":396},"中国科学报 2026-10-17","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F573074.shtm",[26,398,237,238,399],"农业碳汇","农田碳管理",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":403},{"candidates":404,"agricultural_evidence":46},[405,409,413],{"code":32,"score":262,"supported":46,"title":406,"abstract":407,"tags":408},[],[48],[238,26],{"code":241,"score":21,"supported":14,"title":410,"abstract":411,"tags":412},[],[],[398],{"code":261,"score":21,"supported":14,"title":414,"abstract":415,"tags":416},[],[],[237],[418,419],"广东省农科院 资环所 生物炭 秸秆","生物炭 秸秆 协同固碳","广东省农科院资环所生物炭秸秆-5046","2026-10-16T00:13:11.578262Z",{"id":423,"title":424,"url":425,"summary":426,"summary_zh":427,"content":8,"source_name":428,"source_url":425,"published_at":429,"category":68,"cover_url":8,"hotness":13,"is_selected":14,"score":430,"score_detail":431,"sources":433,"tags":435,"primary_topic":440,"secondary_topics":441,"classification":442,"search_phrases":466,"slug":469,"view_count":55,"doi":470,"paper":471,"created_at":489},5000,"Soil phenotyping: Integrating phenosoils and proximal soil sensing for spatiotemporal characterisation of managed soil variability","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.still.2026.107530","The characterisation of soil variability has challenged soil science since the early recognition that soils exhibit complex, structured spatial patterns across landscapes. As agriculture intensifies and soils are expected to deliver more—storing carbon, supporting biodiversity, and sustaining other key functions—there is an urgent need for scalable, quantitative methods to monitor and manage soil variability across space and time. Here we synthesise and advance a framework for soil phenotyping, defined as the quantitative assessment of soil structural, chemical, physical, and biological properties and their spatiotemporal patterns using proximal sensing—explicitly grounded in the distinction between genosoils (baseline soils under minimal human influence) and phenosoils (persistent management-modified soil expressions). Drawing parallels with field plant phenotyping, we argue that soils exhibit phenotypic responses arising from interactions among inherent soil capacity, environmental, and management drivers, and that these responses can be measured efficiently using high-throughput sensing. We review proximal soil sensing technologies, including electromagnetic induction and vis–NIR spectroscopy, and discuss their integration within multi-sensor platforms, digital soil mapping, and machine-learning workflows for data fusion, prediction, and uncertainty quantification. We position soil phenotyping as a practical pipeline from in situ sensing to spatially explicit indicators of soil condition and function, supporting precision agriculture, soil health assessment, and soil security planning. Finally, we identify key challenges for operational deployment, including calibration transferability, sensor harmonisation, spatiotemporal sampling design, and open, interoperable data frameworks, and outline research priorities to accelerate adoption in managed landscapes","土壤变异性的表征一直是土壤科学面临的挑战，早在人们认识到土壤在景观尺度上呈现复杂、结构化的空间格局之时便已如此。随着农业集约化程度提高，以及人们对土壤寄予更多期望——固碳、支撑生物多样性并维持其他关键功能——迫切需要可扩展的定量方法来监测和管理土壤在时空上的变异性。本文综合并推进了一个土壤表型分析框架，将其定义为利用近端传感对土壤结构、化学、物理和生物特性及其时空格局进行定量评估，并明确以基因土壤（genosoils，即在人类影响最小条件下的基线土壤）与表型土壤（phenosoils，即持续受到管理改造的土壤表现）之间的区分为基础。通过与田间植物表型分析的类比，我们认为土壤表现出由固有土壤能力、环境和管理驱动因素之间相互作用所产生的表型响应，并且这些响应可以通过高通量传感高效测量。我们综述了近端土壤传感技术，包括电磁感应和可见光—近红外光谱（vis–NIR spectroscopy），并讨论了它们在多传感器平台、数字土壤制图以及用于数据融合、预测和不确定性量化的机器学习工作流程中的整合。我们将土壤表型分析定位为一条从原位传感走向土壤状况与功能的时空显式指标的实用路径，支撑精准农业、土壤健康评估和土壤安全规划。最后，我们指出了业务化部署面临的关键挑战，包括校准可迁移性、传感器协调统一、时空采样设计以及开放可互操作的数据框架，并概述了加速其在管理景观中应用的研究优先方向。","Soil and Tillage Research","2026-10-13T00:00:00Z",81,{"impact":18,"substance":17,"depth":18,"authority":97,"freshness":231,"relevant":21,"comment":432},"提出土壤表型学框架并整合近地传感与机器学习，方法新颖、对精准农业与土壤健康管理有实质参考价值，但属学术综述、产业落地尚远。",[434],{"name":428,"url":425},[436,27,437,438,439],"精准农业","数字土壤制图","土壤表型","近地传感",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":443},{"candidates":444,"agricultural_evidence":46},[445,449,454,460],{"code":32,"score":19,"supported":46,"title":446,"abstract":447,"tags":448},[33],[48,33],[27],{"code":104,"score":182,"supported":46,"title":450,"abstract":451,"tags":453},[],[436,452],"precision agriculture",[436],{"code":342,"score":58,"supported":46,"title":455,"abstract":456,"tags":459},[],[457,458],"生物多样性","biodiversity",[],{"code":461,"score":343,"supported":46,"title":462,"abstract":463,"tags":465},"I2",[],[464],"机器学习",[],[467,468],"土壤表型 近地传感 土壤健康","phenosoils 数字土壤制图","土壤表型近地传感土壤健康-5000","10.1016\u002Fj.still.2026.107530",{"doi":470,"openalex_id":472,"authors":473,"venue":428,"cited_by_count":55,"oa_url":425,"card":484,"direction":218,"ingested_from":143},"W7221718473",[474,477,479,481],{"name":475,"orcid":476},"Damien J. Field","https:\u002F\u002Forcid.org\u002F0000-0002-6877-8332",{"name":478,"orcid":8},"Alex McBratney",{"name":480,"orcid":8},"Budiman Minasny",{"name":482,"orcid":483},"John Triantafilis","https:\u002F\u002Forcid.org\u002F0000-0003-1561-0242",{"tldr":485,"method":486,"finding":487,"direction":218,"opportunity":488},"提出土壤表型组框架，用近端传感量化管理导致的土壤时空变异。","整合电磁感应与可见-近红外光谱，结合多传感器平台、数字土壤制图和机器学习。","区分本原土与表型土，可高效监测土壤功能并支撑精准农业与土壤健康评估。","开发跨传感器校准迁移与时空采样优化方法，构建开放互操作的土壤表型数据框架。","2026-10-15T23:30:26.546545Z"]