[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3275":3,"related-3275":82},{"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":18,"tags":20,"primary_topic":9,"secondary_topics":21,"classification":22,"search_phrases":45,"slug":46,"view_count":47,"doi":48,"paper":49,"created_at":81},3275,"Reporting, verification, and accounting frameworks for carbon dioxide removal: Scientific integrity, permanence, and governance challenges across emerging pathways","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rechem.2026.103860","Carbon dioxide removal (CDR) is becoming an important component of long-term climate mitigation. However, its climate value depends on whether removal claims reflect measurable, durable changes in atmospheric CO₂ rather than gross carbon capture or storage alone. This review evaluates monitoring, reporting, verification, and accounting (MRV\u002FA) across biological, biochar-based, geochemical, oceanic, and engineered CDR pathways using evidence published between 2015 and 2026. The synthesis is organized around four linked functions: measuring the physical intervention, validating the net atmospheric effect, recording the resulting carbon-accounting unit, and using it in markets, corporate claims, or national inventories. The evidence shows that credible accounting requires explicit treatment of counterfactual baselines, additionality, lifecycle emissions, leakage, timing, uncertainty, storage duration, and reversal risk. Remote sensing, field sensors, geochemical measurements, lifecycle assessment, computational models, and artificial intelligence (AI) can strengthen individual stages of MRV\u002FA, but their roles and validation requirements differ. Registries improve traceability but cannot compensate for weak measurement or accounting rules. Current policy and market frameworks also remain heterogeneous in how they treat durability, liability, uncertainty, and ownership. Future MRV\u002FA systems should therefore link pathway-specific measurements with transparent validation rules, time-dependent accounting, interoperable records, environmental performance, social legitimacy, and clearly assigned long-term responsibility.","二氧化碳去除（carbon dioxide removal, CDR）正成为长期气候减缓的重要组成部分。然而，其气候价值取决于去除声明是否反映了大气中CO₂可测量、持久的实际变化，而非仅反映碳捕集或封存的毛量。本综述基于2015年至2026年间发表的证据，评估了生物类、生物炭类、地球化学类、海洋类及工程类CDR路径的监测、报告、核查与核算（MRV\u002FA）。综述围绕四个相互关联的功能展开：测量物理干预、验证净大气效应、记录由此产生的碳核算单位，以及将其用于市场、企业声明或国家清单。证据表明，可信的核算需要明确处理反事实基线、额外性、生命周期排放、泄漏、时间尺度、不确定性、封存持续时间及逆转风险。遥感、实地传感器、地球化学测量、生命周期评估、计算模型和人工智能（AI）可强化MRV\u002FA的各个阶段，但其作用和验证要求各不相同。登记簿可提高可追溯性，但无法弥补测量或核算规则的薄弱。当前政策和市场框架在处理持久性、责任、不确定性和所有权方面也仍存在差异。因此，未来的MRV\u002FA系统应将路径特异性测量与透明的验证规则、时间依赖型核算、可互操作的记录、环境绩效、社会合法性及明确分配的长期责任相衔接。",null,"Results in Chemistry","2026-09-20T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该文为二氧化碳去除的MRV与核算框架综述，属气候环境科学领域，与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[12],[],{"status":23,"locked":14,"version":24,"method":25,"evidence":26},"needs_review","2026-10-22.2","rules",{"candidates":27,"agricultural_evidence":14,"reason":44},[28,37],{"code":29,"score":30,"supported":31,"title":32,"abstract":33,"tags":36},"I3",6,true,[],[34,35],"遥感","remote sensing",[],{"code":38,"score":39,"supported":31,"title":40,"abstract":41,"tags":43},"I2",3,[],[42],"artificial intelligence",[],"农业相关性需要复核",[],"Reporting,verification,andaccountingfram-3275",1,"10.1016\u002Fj.rechem.2026.103860",{"doi":48,"openalex_id":50,"authors":51,"venue":10,"cited_by_count":15,"oa_url":72,"card":73,"direction":79,"ingested_from":80},"W7213742688",[52,55,57,59,61,63,65,68,70],{"name":53,"orcid":54},"Palanivendhan Murugadoss","https:\u002F\u002Forcid.org\u002F0000-0003-0388-1547",{"name":56,"orcid":9},"S. V. Niveditha",{"name":58,"orcid":9},"Sandeep Kumar Jain",{"name":60,"orcid":9},"Sujai Selvarajan",{"name":62,"orcid":9},"Sasmeeta Tripathy",{"name":64,"orcid":9},"Priya Parag Saxena",{"name":66,"orcid":67},"Ravikumar Jayabal","https:\u002F\u002Forcid.org\u002F0000-0001-7877-9913",{"name":69,"orcid":9},"Aseel Smerat",{"name":71,"orcid":9},"K. Kamakshi Priya","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2211715626008349\u002Fpdf",{"tldr":74,"method":75,"finding":76,"direction":77,"opportunity":78},"综述2015-2026年各类二氧化碳去除路径的监测、报告、核查与核算框架及其科学完整性问题。","综述生物、生物炭、地球化学、海洋与工程化CDR的MRV\u002FA证据，涉及遥感、传感器","可信核算须显式处理基线、额外性、泄漏、时间与逆转风险；登记系统无法弥补测量与规则缺陷。","农业绿色发展与碳","可研究农业CDR路径的路径特异性MRV指标与时间依赖核算规则，并探索AI验证与跨登记系统互操作。","智慧农业 \u002F 农业物联网","openalex","2026-09-23T23:30:13.215315Z",{"total":15,"page":47,"page_size":47,"items":83},[]]