[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2161":3,"related-2161":113},{"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,"primary_topic":34,"secondary_topics":40,"classification":53,"search_phrases":92,"slug":95,"view_count":22,"doi":96,"paper":97,"created_at":112},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+",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",[41,47],{"code":42,"slug":43,"name":44,"path":45,"parent_code":46},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"code":48,"slug":49,"name":50,"path":51,"parent_code":52},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",{"status":54,"locked":14,"version":55,"method":56,"evidence":57},"classified","2026-10-22.2","rules",{"candidates":58,"agricultural_evidence":61},[59,67,72,79,87],{"code":35,"score":60,"supported":61,"title":62,"abstract":64,"tags":66},14,true,[63],"greenhouse",[65,63],"温室",[],{"code":42,"score":60,"supported":61,"title":68,"abstract":69,"tags":71},[43],[70,43],"土壤",[],{"code":48,"score":21,"supported":61,"title":73,"abstract":74,"tags":78},[],[75,76,77],"地理信息","GIS","geographic information",[],{"code":80,"score":81,"supported":61,"title":82,"abstract":83,"tags":86},"I3",7,[],[84,85],"遥感","remote sensing",[29],{"code":88,"score":22,"supported":14,"title":89,"abstract":90,"tags":91},"H4",[],[],[31],[93,94],"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":96,"openalex_id":98,"authors":99,"venue":10,"cited_by_count":103,"oa_url":6,"card":104,"direction":110,"ingested_from":111},"W7212145037",[100],{"name":101,"orcid":102},"JOHN NYEMAH NATT JR","https:\u002F\u002Forcid.org\u002F0000-0003-4084-5916",0,{"tldr":105,"method":106,"finding":107,"direction":108,"opportunity":109},"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",{"total":114,"page":22,"page_size":114,"items":115},6,[116,189,243,332,422,500],{"id":117,"title":118,"url":119,"summary":120,"summary_zh":121,"content":9,"source_name":10,"source_url":119,"published_at":122,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":123,"score_detail":124,"sources":127,"tags":131,"primary_topic":135,"secondary_topics":136,"classification":142,"search_phrases":169,"slug":172,"view_count":159,"doi":173,"paper":174,"created_at":188},3279,"ASSESSMENT OF SOIL SALINIZATION IN IRRIGATED LANDS BASED ON REMOTE SENSING AND GIS TECHNOLOGIES","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22900049","This thesis analyzes modern approaches to monitoring and assessing soil salinity in irrigated areas of Uzbekistan and Central Asia. Soil salinization is one of the major land degradation processes affecting the reclamation condition of irrigated lands, crop growth and agricultural productivity. Although conventional field and laboratory surveys provide detailed information, they have limitations in terms of regular monitoring of large areas. Therefore, remote sensing and geographic information systems provide promising tools for rapid and spatial assessment of soil salinity. The study considers the application of satellite imagery, particularly Sentinel-2 and Landsat data, for soil salinity assessment, including the use of spectral bands and salinity indices, GIS-based thematic mapping, and validation using field and laboratory observations. Recent studies demonstrate the potential of remote sensing data for spatial assessment and mapping of soil salinity under the conditions of Uzbekistan. Such an integrated approach can support rapid monitoring of the reclamation status of irrigated lands, identification of salt-affected areas and spatial planning of appropriate reclamation measures.","本论文分析了乌兹别克斯坦和中亚灌溉区土壤盐分监测与评估的现代方法。土壤盐渍化是影响灌溉土地改良状况、作物生长和农业生产力的主要土地退化过程之一。尽管传统的野外调查和实验室分析能够提供详细信息，但在大范围定期监测方面存在局限性。因此，遥感与地理信息系统为土壤盐分的快速空间评估提供了有前景的工具。本研究探讨了卫星影像，特别是Sentinel-2和Landsat数据在土壤盐分评估中的应用，包括光谱波段和盐分指数的使用、基于GIS的主题制图，以及利用野外和实验室观测数据进行验证。近期研究表明，遥感数据在乌兹别克斯坦条件下用于土壤盐分空间评估与制图具有潜力。这种综合方法可支持灌溉土地改良状况的快速监测、盐渍化区域的识别以及适当改良措施的空间规划。","2026-09-22T00:00:00Z",66,{"impact":20,"substance":19,"depth":125,"authority":20,"freshness":21,"relevant":22,"comment":126},15,"基于遥感与GIS的灌溉区土壤盐渍化监测论文，方法成熟、结论可靠，对盐碱地治理与农业信息化有参考价值，但属区域性研究，影响层级有限。",[128,129],{"name":10,"url":119},{"name":10,"url":130},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22900048",[132,29,76,133,134],"土地退化","土壤盐渍化","灌溉农业",{"code":48,"slug":49,"name":50,"path":51,"parent_code":52},[137,141],{"code":80,"slug":138,"name":139,"path":140,"parent_code":52},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":42,"slug":43,"name":44,"path":45,"parent_code":46},{"status":54,"locked":14,"version":55,"method":56,"evidence":143},{"candidates":144,"agricultural_evidence":61},[145,149,153,157,164],{"code":48,"score":19,"supported":61,"title":146,"abstract":147,"tags":148},[76],[75,76,77],[76],{"code":80,"score":125,"supported":61,"title":150,"abstract":151,"tags":152},[85],[84,85],[29],{"code":42,"score":60,"supported":61,"title":154,"abstract":155,"tags":156},[43],[70,43],[],{"code":158,"score":159,"supported":61,"title":160,"abstract":161,"tags":163},"H3",4,[],[162],"灌溉",[134],{"code":165,"score":22,"supported":14,"title":166,"abstract":167,"tags":168},"H1",[],[],[132],[170,171],"乌兹别克斯坦 土壤盐渍化 遥感","Sentinel-2 盐渍化 灌溉","乌兹别克斯坦土壤盐渍化遥感-3279","10.5281\u002Fzenodo.22900049",{"doi":173,"openalex_id":175,"authors":176,"venue":10,"cited_by_count":103,"oa_url":119,"card":183,"direction":110,"ingested_from":111},"W7214052773",[177,179,181],{"name":178,"orcid":9},"Mardiyev",{"name":180,"orcid":9},"Ergashaliyev",{"name":182,"orcid":9},"G'aniyev",{"tldr":184,"method":185,"finding":186,"direction":110,"opportunity":187},"综述遥感与GIS评估乌兹别克斯坦及中亚灌溉土壤盐渍化的方法。","Sentinel-2与Landsat影像、光谱盐分指数、GIS制图及野外验证。","遥感与GIS可快速空间评估盐渍化，支持灌溉地改良状态监测与规划。","可探索多源遥感与机器学习融合的盐分指数模型，提升干旱区盐渍化反演精度与时效。","2026-09-23T23:30:19.341486Z",{"id":190,"title":191,"url":192,"summary":193,"summary_zh":194,"content":9,"source_name":195,"source_url":192,"published_at":196,"category":12,"cover_url":9,"hotness":197,"is_selected":14,"score":103,"score_detail":198,"sources":200,"tags":202,"primary_topic":203,"secondary_topics":204,"classification":207,"search_phrases":223,"slug":224,"view_count":103,"doi":225,"paper":226,"created_at":242},5091,"Assessing the impacts of gold mining on vegetation and soil degradation using multi-temporal remote sensing in Kintinian, Siguiri prefecture, Guinea","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.indic.2026.101570","Gold mining, while economically significant, has increasingly driven environmental degradation in many parts of West Africa, including Kintinian in the Siguiri Prefecture of the Republic of Guinea. This study evaluated the extent and environmental impacts of gold mining on soil and vegetation dynamics between 1990 and 2016, with an emphasis on landscape transformation and ecological degradation. The study integrated field observations and ground-truthing with multi-temporal satellite imagery (Landsat 1990, 2000, 2010, and 2016; and Sentinel-1) within the Geographical Pathways to Environmental Sustainability (GPES) framework. Geographic Information Systems (GIS) were employed for change detection analysis, while the Soil-Adjusted Vegetation Index (SAVI) quantified vegetation dynamics and Analytical Hierarchical Principles (AHP) weighed the vulnerability degradation threshold. Findings reveal substantial land-use dynamics associated with intensified mining activities. Agricultural land declined by 13%, while forest cover decreased by 23% over the study period. Vegetation condition deteriorated as SAVI values declined from 0.928 (1990) to 0.602 (2016), indicating reduced vegetative vigor and increasing soil exposure. Soil vulnerability was weighted using Land Use Land Cover (10%), Iron Oxide (35%), Enhanced Built-up and Bare Soil (15%), Ground Soil Index (15%), and Land Surface Temperature (25%), demonstrating significant degradation found at the abandoned industrial mining sites that were reconverted for artisanal mining purposes. The study concluded that gold mining has significantly accelerated landscape transformation, vegetation loss, and soil exposure, suggesting sustainable mining practices and targeted land restoration strategies in the mining-affected regions.","金矿开采虽具有重要经济意义，却在包括几内亚共和国锡吉里省金蒂尼安在内的西非许多地区日益加剧环境退化。本研究评估了1990年至2016年间金矿开采对土壤和植被动态的影响范围及环境效应，重点关注景观转变与生态退化。研究在“环境可持续性地理路径”（GPES）框架内，将实地观测和地面验证与多时相卫星影像（1990、2000、2010和2016年Landsat影像；以及Sentinel-1影像）相结合。采用地理信息系统（GIS）进行变化检测分析，利用土壤调节植被指数（SAVI）量化植被动态，并运用层次分析法（AHP）对脆弱性退化阈值进行加权。研究结果揭示了与采矿活动加剧相关的显著土地利用动态。研究期内，农用地减少13%，森林覆盖减少23%。植被状况恶化，SAVI值从0.928（1990年）降至0.602（2016年），表明植被活力下降、土壤裸露增加。土壤脆弱性采用土地利用\u002F土地覆盖（10%）、氧化铁（35%）、增强型建成区与裸土（15%）、地表土壤指数（15%）和地表温度（25%）进行加权，结果显示，在重新转为手工采矿用途的废弃工业采矿场址，土壤退化显著。研究结论认为，金矿开采显著加速了景观转变、植被丧失和土壤裸露，建议在受采矿影响地区推行可持续采矿实践并实施有针对性的土地恢复策略。","Environmental and Sustainability Indicators","2026-10-15T00:00:00Z",10,{"impact":103,"substance":103,"depth":103,"authority":103,"freshness":103,"relevant":103,"comment":199},"该论文研究几内亚金矿开采对植被与土壤退化的遥感评估，与三农、农业信息化、智慧农业等主题无关，不建议进入每日精选。",[201],{"name":195,"url":192},[12],{"code":42,"slug":43,"name":44,"path":45,"parent_code":46},[205,206],{"code":48,"slug":49,"name":50,"path":51,"parent_code":52},{"code":80,"slug":138,"name":139,"path":140,"parent_code":52},{"status":54,"locked":14,"version":55,"method":56,"evidence":208},{"candidates":209,"agricultural_evidence":61},[210,214,218],{"code":42,"score":60,"supported":61,"title":211,"abstract":212,"tags":213},[43],[70,43],[],{"code":48,"score":21,"supported":61,"title":215,"abstract":216,"tags":217},[],[75,76,77],[],{"code":80,"score":219,"supported":61,"title":220,"abstract":221,"tags":222},8,[85],[],[],[],"Assessingtheimpactsofgoldminingonvegetat-5091","10.1016\u002Fj.indic.2026.101570",{"doi":225,"openalex_id":227,"authors":228,"venue":195,"cited_by_count":103,"oa_url":192,"card":237,"direction":110,"ingested_from":111},"W7222305702",[229,231,234],{"name":230,"orcid":9},"Mohamed Traoré",{"name":232,"orcid":233},"Opeyemi Aniramu","https:\u002F\u002Forcid.org\u002F0000-0002-5111-0221",{"name":235,"orcid":236},"Oluwagbenga O. I. Orimoogunje","https:\u002F\u002Forcid.org\u002F0000-0001-8070-5040",{"tldr":238,"method":239,"finding":240,"direction":110,"opportunity":241},"评估几内亚金矿开采对植被与土壤退化的影响。","多时相Landsat\u002FSentinel-1影像、GIS变化检测、SAVI与AHP","1990-2016年农地减13%、林地减23%，SAVI由0.928降至0.602，土壤退化严重。","可结合时序遥感与机器学习，构建矿区复垦动态监测与生态恢复评估模型。","2026-10-16T23:30:27.217565Z",{"id":244,"title":245,"url":246,"summary":247,"summary_zh":248,"content":9,"source_name":249,"source_url":246,"published_at":250,"category":12,"cover_url":9,"hotness":197,"is_selected":14,"score":251,"score_detail":252,"sources":258,"tags":260,"primary_topic":265,"secondary_topics":266,"classification":269,"search_phrases":316,"slug":319,"view_count":320,"doi":9,"paper":321,"created_at":331},5013,"REMOTE SENSING AND GIS-BASED ASSESSMENT OF SOIL SALINITY IN IRRIGATED LANDS: METHODS, CHALLENGES AND PROSPECTS FOR PRECISION AGRICULTURE","http:\u002F\u002Fwww.arabianjournalofscience.com\u002Findex.php\u002Findex\u002Farticle\u002Fview\u002F1223","Soil salinization is a major land degradation process affecting the sustainability of irrigated agriculture, particularly in arid and semi-arid regions. Conventional soil sampling provides essential information about salinity levels but may be insufficient for continuous monitoring of large agricultural territories because of spatial variability, sampling costs, and temporal limitations. Remote sensing (RS) and geographic information systems (GIS) offer complementary approaches for identifying spatial patterns of salinity, monitoring land conditions, and supporting agricultural management. This article examines the scientific and methodological foundations of integrating multispectral satellite imagery, spectral indices, geospatial analysis, and machine learning for soil salinity assessment in irrigated lands. Particular attention is given to Landsat and Sentinel-2 imagery, the interpretation of vegetation and soil reflectance indicators, the role of electrical conductivity measurements in model calibration, and the limitations associated with vegetation cover, soil moisture, and seasonal variability. The analysis indicates that reliable salinity assessment requires the integration of satellite observations with field measurements and environmental variables rather than the isolated application of spectral indices. The article proposes a methodological framework for developing spatially explicit salinity assessment systems applicable to irrigated agricultural landscapes, including those of Central Asia. The framework provides a basis for improving monitoring strategies and supporting evidence-based land management without assuming unverified local measurement results.","土壤盐渍化是影响灌溉农业可持续性的主要土地退化过程，在干旱和半干旱地区尤为突出。传统土壤采样可提供盐分水平的基本信息，但由于空间变异性、采样成本和时间限制，可能不足以对大面积农业区域进行持续监测。遥感（RS）和地理信息系统（GIS）为识别盐渍化空间格局、监测土地状况和支持农业管理提供了互补性方法。本文探讨了整合多光谱卫星影像、光谱指数、地理空间分析和机器学习进行灌溉土地土壤盐渍化评估的科学与方法学基础。文章特别关注Landsat和Sentinel-2影像、植被与土壤反射率指标的解译、电导率测量在模型校准中的作用，以及与植被覆盖、土壤湿度和季节变异性相关的局限性。分析表明，可靠的盐渍化评估需要将卫星观测与野外测量和环境变量相结合，而非孤立地应用光谱指数。本文提出了一个方法学框架，用于开发适用于灌溉农业景观（包括中亚地区）的空间显式盐渍化评估系统。该框架为改进监测策略和支持基于证据的土地管理提供了基础，且不以未经核实的当地测量结果为假设前提。","Arabian journal of science.","2026-10-13T00:00:00Z",74,{"impact":253,"substance":254,"depth":255,"authority":256,"freshness":219,"relevant":22,"comment":257},16,20,17,13,"系统综述遥感与GIS在灌溉农田盐渍化评估中的方法框架与挑战，对盐碱地治理和精准农业有参考价值，但属综述性论文，非突破性成果。",[259],{"name":249,"url":246},[261,262,84,263,264],"智慧农业","精准农业","盐碱地治理","土壤监测",{"code":80,"slug":138,"name":139,"path":140,"parent_code":52},[267,268],{"code":48,"slug":49,"name":50,"path":51,"parent_code":52},{"code":42,"slug":43,"name":44,"path":45,"parent_code":46},{"status":54,"locked":14,"version":55,"method":56,"evidence":270},{"candidates":271,"agricultural_evidence":61},[272,277,282,286,292,299,304,310],{"code":80,"score":19,"supported":61,"title":273,"abstract":274,"tags":276},[85],[84,85,275],"multispectral",[84],{"code":48,"score":255,"supported":61,"title":278,"abstract":279,"tags":281},[76],[75,280,76,77],"空间分析",[],{"code":42,"score":125,"supported":61,"title":283,"abstract":284,"tags":285},[43],[70,43],[263],{"code":287,"score":197,"supported":61,"title":288,"abstract":290,"tags":291},"I1",[289],"precision agriculture",[],[261,262],{"code":293,"score":114,"supported":61,"title":294,"abstract":295,"tags":298},"I2",[],[296,297],"机器学习","machine learning",[],{"code":158,"score":300,"supported":61,"title":301,"abstract":302,"tags":303},3,[],[162],[],{"code":305,"score":300,"supported":61,"title":306,"abstract":307,"tags":309},"H7",[],[308],"干旱",[],{"code":311,"score":300,"supported":61,"title":312,"abstract":313,"tags":315},"I7",[],[314],"methodological framework",[],[317,318],"遥感 GIS 土壤盐渍化","Landsat Sentinel-2 盐分监测","遥感GIS土壤盐渍化-5013",2,{"doi":9,"openalex_id":322,"authors":323,"venue":249,"cited_by_count":103,"oa_url":246,"card":326,"direction":110,"ingested_from":111},"W7221843179",[324],{"name":325,"orcid":9},"Sadullayev Sardor Zokirjon o'g'li",{"tldr":327,"method":328,"finding":329,"direction":110,"opportunity":330},"综述遥感与GIS评估灌溉地土壤盐渍化的方法、挑战与前景，并提出空间显式评估框架。","整合多光谱卫星影像、光谱指数、GIS空间分析与机器学习，结合电导率校准。","可靠盐渍化评估需卫星观测与实地测量及环境变量融合，而非孤立使用光谱指数。","可探索多源遥感与机器学习融合的盐渍化动态监测，并验证于中亚等干旱灌区。","2026-10-15T23:30:32.401626Z",{"id":333,"title":334,"url":335,"summary":336,"summary_zh":337,"content":9,"source_name":338,"source_url":335,"published_at":339,"category":12,"cover_url":9,"hotness":197,"is_selected":14,"score":340,"score_detail":341,"sources":343,"tags":345,"primary_topic":351,"secondary_topics":352,"classification":359,"search_phrases":393,"slug":396,"view_count":22,"doi":397,"paper":398,"created_at":421},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":253,"substance":17,"depth":19,"authority":256,"freshness":21,"relevant":22,"comment":342},"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。",[344],{"name":338,"url":335},[346,347,348,349,350],"生物炭","温室番茄","农业碳中和","沼液利用","减排增效",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[353,354],{"code":42,"slug":43,"name":44,"path":45,"parent_code":46},{"code":355,"slug":356,"name":357,"path":358,"parent_code":39},"B1","vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables",{"status":54,"locked":14,"version":55,"method":56,"evidence":360},{"candidates":361,"agricultural_evidence":61},[362,366,370,376,383,388],{"code":35,"score":125,"supported":61,"title":363,"abstract":364,"tags":365},[63],[65,63],[347],{"code":42,"score":125,"supported":61,"title":367,"abstract":368,"tags":369},[43],[70,43],[346],{"code":355,"score":60,"supported":61,"title":371,"abstract":373,"tags":375},[372],"tomato",[374,372],"番茄",[],{"code":377,"score":114,"supported":61,"title":378,"abstract":379,"tags":382},"F3",[],[380,381],"施肥","fertilizer",[],{"code":158,"score":114,"supported":61,"title":384,"abstract":385,"tags":387},[],[162,386],"irrigation",[],{"code":88,"score":300,"supported":61,"title":389,"abstract":390,"tags":392},[],[391],"农业碳",[],[394,395],"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":397,"openalex_id":399,"authors":400,"venue":338,"cited_by_count":103,"oa_url":335,"card":416,"direction":108,"ingested_from":111},"W7214739741",[401,404,407,409,412,414],{"name":402,"orcid":403},"Qinglin Sa","https:\u002F\u002Forcid.org\u002F0009-0007-5248-566X",{"name":405,"orcid":406},"Jian Zheng","https:\u002F\u002Forcid.org\u002F0009-0003-5723-1950",{"name":408,"orcid":9},"Ke Zhang",{"name":410,"orcid":411},"Yan Wang","https:\u002F\u002Forcid.org\u002F0000-0002-5950-8904",{"name":413,"orcid":9},"Xuqin FU",{"name":415,"orcid":9},"Shikun Sun",{"tldr":417,"method":418,"finding":419,"direction":108,"opportunity":420},"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":423,"title":424,"url":425,"summary":426,"summary_zh":427,"content":9,"source_name":428,"source_url":425,"published_at":429,"category":12,"cover_url":9,"hotness":197,"is_selected":14,"score":430,"score_detail":431,"sources":433,"tags":435,"primary_topic":438,"secondary_topics":439,"classification":441,"search_phrases":474,"slug":477,"view_count":320,"doi":478,"paper":479,"created_at":499},3020,"Spatial variability of soil fertility indicators using GIS for sustainable land management in Banaskantha district western India","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44378-026-00320-y","Soil fertility assessment is fundamental for sustainable land management and precision agriculture, particularly in semi-arid regions where soil properties exhibit considerable spatial variability. This study investigated the spatial distribution of major soil fertility indicators across Banaskantha district, Gujarat, India, using a systematic 15 × 15 km grid-based sampling approach integrated with Geographic Information System (GIS) analysis and multivariate statistics. A total of 46 geo-referenced composite soil samples were collected from agricultural fields representing all fourteen talukas and analysed for soil moisture, pH, electrical conductivity (EC), organic carbon (OC), available nitrogen (AvN), available phosphorus (AvP), and available potassium (AvK). GIS-based Inverse Distance Weighting (IDW) interpolation was employed to visualize the regional distribution of soil properties, while Pearson correlation analysis and Principal Component Analysis (PCA) were used to examine relationships among soil fertility indicators and identify the major factors influencing soil variability. The results revealed substantial spatial heterogeneity across the district, with alkaline and saline soils predominantly occurring in the western region, whereas comparatively higher soil moisture and organic carbon were observed in the eastern and northern areas. Available phosphorus was generally deficient throughout the district, while available nitrogen and potassium exhibited pronounced spatial variation associated with parent material, land use, and agricultural management practices. PCA identified salinity-related factors and organic matter–nutrient interactions as the principal contributors to soil fertility variability. The generated spatial distribution maps provide valuable baseline information for identifying nutrient-deficient zones and understanding regional patterns of soil fertility. Although the proposed nutrient management strategies require further validation through field-based agronomic studies, the integration of laboratory soil analysis, GIS, and multivariate statistical techniques provides an effective framework for regional soil fertility assessment and supports informed decision-making for sustainable land management in semi-arid environments.","土壤肥力评估是可持续土地管理和精准农业的基础，尤其是在土壤属性表现出显著空间变异性的半干旱地区。本研究采用基于15 × 15 km网格的系统采样方法，结合地理信息系统（GIS）分析和多元统计方法，调查了印度古吉拉特邦巴纳斯坎塔县主要土壤肥力指标的空间分布。共从代表全部十四个乡的农田中采集了46个地理参照复合土壤样品，并分析了土壤水分、pH、电导率（EC）、有机碳（OC）、有效氮（AvN）、有效磷（AvP）和有效钾（AvK）。采用基于GIS的反距离加权（IDW）插值法可视化土壤属性的区域分布，同时运用Pearson相关分析和主成分分析（PCA）考察土壤肥力指标之间的关系，并识别影响土壤变异性的主要因素。结果表明，该县土壤存在显著的空间异质性，碱性和盐渍化土壤主要分布在西部地区，而东部和北部地区土壤水分和有机碳相对较高。有效磷在整个县域普遍缺乏，而有效氮和有效钾则表现出与母质、土地利用和农业管理措施相关的显著空间变异。PCA识别出盐分相关因子和有机质—养分相互作用是土壤肥力变异性的主要贡献因素。所生成的空间分布图为识别养分缺乏区和理解土壤肥力区域格局提供了有价值的基线信息。尽管所提出的养分管理策略需要通过田间农艺研究进一步验证，但实验室土壤分析、GIS和多元统计技术的整合为区域土壤肥力评估提供了有效框架，并为半干旱环境下可持续土地管理的科学决策提供了支持。","Discover Soil.","2026-09-19T00:00:00Z",65,{"impact":219,"substance":254,"depth":253,"authority":20,"freshness":21,"relevant":22,"comment":432},"基于GIS与多元统计的区域土壤肥力空间变异研究，方法规范、数据翔实，对精准农业与可持续土地管理有参考价值，但属区域性案例，公共影响有限。",[434],{"name":428,"url":425},[262,436,84,76,437],"可持续农业","土壤肥力",{"code":48,"slug":49,"name":50,"path":51,"parent_code":52},[440],{"code":42,"slug":43,"name":44,"path":45,"parent_code":46},{"status":54,"locked":14,"version":55,"method":56,"evidence":442},{"candidates":443,"agricultural_evidence":61},[444,448,452,456,461,465,470],{"code":48,"score":19,"supported":61,"title":445,"abstract":446,"tags":447},[76],[75,76,77],[76],{"code":42,"score":125,"supported":61,"title":449,"abstract":450,"tags":451},[43],[70,43],[437],{"code":287,"score":81,"supported":61,"title":453,"abstract":454,"tags":455},[],[262,289],[262],{"code":377,"score":300,"supported":61,"title":457,"abstract":458,"tags":460},[],[459],"养分管理",[],{"code":305,"score":300,"supported":61,"title":462,"abstract":463,"tags":464},[],[308],[],{"code":466,"score":22,"supported":14,"title":467,"abstract":468,"tags":469},"H8",[],[],[436],{"code":80,"score":22,"supported":14,"title":471,"abstract":472,"tags":473},[],[],[84],[475,476],"Banaskantha 土壤肥力 GIS","印度 半干旱区 土壤养分","Banaskantha土壤肥力GIS-3020","10.1007\u002Fs44378-026-00320-y",{"doi":478,"openalex_id":480,"authors":481,"venue":428,"cited_by_count":103,"oa_url":425,"card":493,"direction":498,"ingested_from":111},"W7213587271",[482,485,487,489,491],{"name":483,"orcid":484},"Mukesh P. Chaudhari","https:\u002F\u002Forcid.org\u002F0009-0000-2187-2375",{"name":486,"orcid":9},"Ruchi Nair",{"name":488,"orcid":9},"Pratik Chavda",{"name":490,"orcid":9},"Dharmik Patel",{"name":492,"orcid":9},"Divya Mishra",{"tldr":494,"method":495,"finding":496,"direction":110,"opportunity":497},"用GIS与多元统计评估印度半干旱区Banaskantha土壤肥力指标的空间变异。","15×15 km网格采样46个样点，结合IDW插值、Pearson相关与PCA分","西部土壤偏碱盐化，东部北部有机碳较高，全区分区有效磷普遍缺乏。","可结合遥感植被指数与机器学习提升半干旱区土壤肥力制图精度并验证养分管理策略。","农业人工智能与决策模型","2026-09-20T23:30:43.716518Z",{"id":501,"title":502,"url":503,"summary":504,"summary_zh":505,"content":9,"source_name":506,"source_url":503,"published_at":507,"category":12,"cover_url":9,"hotness":197,"is_selected":14,"score":508,"score_detail":509,"sources":512,"tags":514,"primary_topic":520,"secondary_topics":521,"classification":523,"search_phrases":547,"slug":550,"view_count":22,"doi":551,"paper":552,"created_at":570},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",80,{"impact":19,"substance":17,"depth":510,"authority":256,"freshness":219,"relevant":22,"comment":511},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。",[513],{"name":506,"url":503},[346,515,516,517,518,519],"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":35,"slug":36,"name":37,"path":38,"parent_code":39},[522],{"code":42,"slug":43,"name":44,"path":45,"parent_code":46},{"status":54,"locked":14,"version":55,"method":56,"evidence":524},{"candidates":525,"agricultural_evidence":61},[526,530,534,539,543],{"code":42,"score":255,"supported":61,"title":527,"abstract":528,"tags":529},[43],[70,43],[515,517,346],{"code":35,"score":60,"supported":61,"title":531,"abstract":532,"tags":533},[63],[65,63],[],{"code":287,"score":219,"supported":61,"title":535,"abstract":537,"tags":538},[536],"smart agriculture",[],[],{"code":377,"score":22,"supported":14,"title":540,"abstract":541,"tags":542},[],[],[519],{"code":305,"score":22,"supported":14,"title":544,"abstract":545,"tags":546},[],[],[516],[548,549],"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":551,"openalex_id":553,"authors":554,"venue":506,"cited_by_count":103,"oa_url":503,"card":564,"direction":569,"ingested_from":111},"W7213554252",[555,557,560,562],{"name":556,"orcid":9},"K. G. Rosin",{"name":558,"orcid":559},"Aditya V Machnoor","https:\u002F\u002Forcid.org\u002F0009-0001-5777-9188",{"name":561,"orcid":9},"Rakesh Kokatnoor",{"name":563,"orcid":9},"Arun S. Kalasad",{"tldr":565,"method":566,"finding":567,"direction":108,"opportunity":568},"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。","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","2026-09-19T23:30:11.160909Z"]