[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2161":3},{"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":28,"view_count":34,"doi":35,"paper":36,"created_at":50},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",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-10T00:00:00Z","论文",25,false,84,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,12,9,1,"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。",[25,26],{"name":10,"url":6},{"name":10,"url":27},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22685842",[29,30,31,32,33],"遥感监测","土壤碳","碳汇核算","蓝碳","REDD+",0,"10.5281\u002Fzenodo.22685841",{"doi":35,"openalex_id":37,"authors":38,"venue":10,"cited_by_count":34,"oa_url":6,"card":42,"direction":48,"ingested_from":49},"W7212145037",[39],{"name":40,"orcid":41},"JOHN NYEMAH NATT JR","https:\u002F\u002Forcid.org\u002F0000-0003-4084-5916",{"tldr":43,"method":44,"finding":45,"direction":46,"opportunity":47},"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。","农业绿色发展与碳","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。","农业遥感与作物表型","openalex","2026-09-11T23:30:29.631707Z"]