[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2634":3,"related-2634":105},{"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":32,"secondary_topics":38,"classification":39,"search_phrases":79,"slug":82,"view_count":83,"doi":84,"paper":85,"created_at":104},2634,"Exploring the carbon footprint of Chinese beef systems – a life‑cycle assessment, decoupling analysis and spatial effects","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1849066","Introduction China’s beef cattle industry is currently in a phase of expansion, while its greenhouse gas (GHG) emission characteristics remain insufficiently elucidated. To fill this research gap, this study employed Life Cycle Assessment (LCA) to quantify the carbon footprint of beef cattle production across provinces in mainland China during the period 2002–2022. Methods The analysis encompassed total GHG emissions across three farming scales—small-scale (1–49 heads), medium-scale (50–500 heads), and large-scale (>500 heads)—classified by annual slaughter volume, and divided the entire production system into four stages: feed cultivation, enteric fermentation, manure management, and processing and transportation. Results Large-scale operations exhibited relatively lower carbon intensity, with an average of 23.71 kg CO 2 e per kilogram of beef, whereas all three scales demonstrated a fluctuating yet gradually increasing trend over the study period. Enteric fermentation emerged as the dominant emission source, with an annual average of 268.84 TgCO 2 e. Methane consistently accounted for the largest proportion of GHG emissions, averaging 73.59% of the annual total. Spatially, both total emissions and various carbon intensity indicators showed a westward shift, with western regions lagging behind eastern regions in emission reduction performance. Decoupling analysis revealed that for most provinces from 2002 to 2022, GHG emissions from beef cattle production grew in tandem with the output value of the cattle industry. Spatial regression further identified significant agglomeration effects, with carbon intensity being significantly influenced by the economic level of the beef cattle sector, rural per capita disposable income, the share of the cattle industry in the regional economy, and grain yield.","引言 中国肉牛产业目前正处于扩张阶段，而其温室气体（GHG）排放特征尚不明确。为填补这一研究空白，本研究采用生命周期评价（LCA）方法，对2002—2022年中国大陆各省肉牛生产的碳足迹进行了量化。方法 分析涵盖三种养殖规模——小规模（1—49头）、中规模（50—500头）和大规模（>500头）——按年出栏量划分，并将整个生产系统分为四个阶段：饲料种植、肠道发酵、粪便管理和加工运输。结果 大规模养殖的碳强度相对较低，平均为每千克牛肉23.71 kg CO₂e，但三种规模在研究期间均呈现波动上升趋势。肠道发酵是主要排放源，年均排放量为268.84 TgCO₂e。甲烷始终占温室气体排放的最大比例，年均占总量的73.59%。在空间分布上，总排放量和各项碳强度指标均呈现向西转移的趋势，西部地区的减排表现落后于东部地区。脱钩分析表明，2002—2022年大多数省份的肉牛生产温室气体排放与养牛业产值同步增长。空间回归进一步识别出显著的集聚效应，碳强度受肉牛产业经济水平、农村人均可支配收入、养牛业在区域经济中的占比以及粮食产量的显著影响。",null,"Frontiers in Sustainable Food Systems","2026-09-15T00:00:00Z","论文",10,false,84,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,13,8,1,"基于2002—2022年全国省级面板数据的肉牛全生命周期碳足迹核算，方法规范、数据规模大，揭示规模效应与排放西移趋势，对畜牧业绿色低碳转型有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业绿色发展","碳足迹","生命周期评价","肉牛产业","畜牧业减排",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,52,60,67,74],{"code":33,"score":46,"supported":47,"title":48,"abstract":50,"tags":51},17,true,[49],"carbon footprint",[28,49],[27,29,28],{"code":53,"score":54,"supported":47,"title":55,"abstract":56,"tags":59},"B7",6,[],[57,58],"温室","greenhouse",[],{"code":61,"score":54,"supported":47,"title":62,"abstract":63,"tags":66},"C2",[],[64,65],"肉牛","cattle",[],{"code":68,"score":69,"supported":47,"title":70,"abstract":71,"tags":73},"C4",3,[],[72],"饲料",[],{"code":75,"score":22,"supported":14,"title":76,"abstract":77,"tags":78},"H8",[],[],[27],[80,81],"农业绿色发展 生命周期评价 畜牧业减排 肉牛产业","农业绿色发展 生命周期评价","农业绿色发展生命周期评价畜牧业减排肉牛产业-2634",4,"10.3389\u002Ffsufs.2026.1849066",{"doi":84,"openalex_id":86,"authors":87,"venue":10,"cited_by_count":96,"oa_url":6,"card":97,"direction":101,"ingested_from":103},"W7213306361",[88,90,92,94],{"name":89,"orcid":9},"Xianghui Yin",{"name":91,"orcid":9},"Shiqin Sun",{"name":93,"orcid":9},"Jiangge Wang",{"name":95,"orcid":9},"Tengyun Gao",0,{"tldr":98,"method":99,"finding":100,"direction":101,"opportunity":102},"用生命周期评估量化2002–2022年中国各省肉牛碳足迹，并分析脱钩与空间效应。","生命周期评估、脱钩分析、空间回归，覆盖三种养殖规模与四个生产阶段。","大规模养殖碳强度较低，肠道发酵为主排放源，排放呈西移趋势且多省未脱钩。","农业绿色发展与碳","可探究西部减排滞后地区的规模优化与甲烷减排技术，及空间溢出机制。","openalex","2026-09-16T23:30:08.249805Z",{"total":54,"page":22,"page_size":54,"items":106},[107,184,235,306,379,448],{"id":108,"title":109,"url":110,"summary":111,"summary_zh":112,"content":9,"source_name":113,"source_url":110,"published_at":114,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":115,"score_detail":116,"sources":121,"tags":123,"primary_topic":127,"secondary_topics":132,"classification":134,"search_phrases":158,"slug":161,"view_count":83,"doi":162,"paper":163,"created_at":183},3451,"Carbon footprint of Creole goat milk production in Peru under crop-residue and Andean shrubland systems","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104993","CONTEXT Goat farming in Peru is economically marginal yet essential for rural livelihoods and food security. Creole goats are managed extensively on native rangelands or crop residues, but their greenhouse gas emissions remain poorly quantified. OBJECTIVE To assess the carbon footprint (CFP) of Creole goat milk production under two contrasting extensive systems in Lima (crop-residue based) and Ancash (shrubland-based), Peru. METHODS A cradle-to-farm-gate life cycle assessment was conducted on six farms per system during winter and summer. Emissions of CH₄, N₂O and CO₂ were estimated using IPCC methodologies and expressed per kilogram of fat- and protein-corrected milk (FPCM). CFP were analyzed using univariate and mixed-effects models. RESULTS AND CONCLUSIONS System differences in farm characteristics were more pronounced during summer, when Ancash system, compared to Lima system, showed higher dietary fiber concentrations (42.65% vs 33.10%; p \u003C 0.001) and produced milk with greater total solids content (15.38% vs 13.70%; p \u003C 0.05). However, CFP did not differ significantly between systems, ranging from 0.681 to 1.672 kg CO₂-eq kg −1 FPCM, with enteric fermentation accounting for 74–79% of total emissions. Significant system × season interactions for fuel and electricity emissions revealed contrasting seasonal resource-use responses between systems. These findings indicate that seasonal dynamics are a major driver of emission variability, while overall CFP remained comparable between systems. SIGNIFICANCE This study provides the first CFP assessment of Creole goat milk production in Peru and highlights the importance of considering ecosystem and seasonal variability when assessing emissions from marginal goat systems.","背景 秘鲁的山羊养殖在经济上处于边缘地位，但对农村生计和粮食安全至关重要。克里奥尔山羊以粗放方式在天然牧场或作物残茬上饲养，但其温室气体排放量仍缺乏量化研究。目的 评估秘鲁利马（基于作物残茬）和安卡什（基于灌木地）两种对比鲜明的粗放养殖体系下克里奥尔山羊奶生产的碳足迹（CFP）。方法 在冬夏两季对每个体系的六个农场进行了从摇篮到农场门口的生命周期评估。采用IPCC方法估算CH₄、N₂O和CO₂排放量，并以每千克脂肪和蛋白质校正乳（FPCM）表示。采用单变量和混合效应模型分析CFP。结果与结论 农场特征的体系差异在夏季更为明显，此时安卡什体系与利马体系相比，日粮纤维浓度更高（42.65% vs 33.10%；p \u003C 0.001），所产羊奶总固形物含量也更高（15.38% vs 13.70%；p \u003C 0.05）。然而，CFP在体系间无显著差异，范围为0.681至1.672 kg CO₂-eq kg⁻¹ FPCM，其中肠道发酵占总排放的74–79%。燃料和电力排放在体系×季节间存在显著交互作用，揭示了两体系在季节性资源利用响应上的差异。这些发现表明，季节动态是排放变异的主要驱动因素，而总体CFP在体系间保持可比。意义 本研究首次对秘鲁克里奥尔山羊奶生产进行CFP评估，并强调了在评估边缘化山羊体系排放时考虑生态系统和季节变异性的重要性。","Agricultural Systems","2026-09-24T00:00:00Z",69,{"impact":21,"substance":117,"depth":46,"authority":118,"freshness":119,"relevant":22,"comment":120},21,14,9,"首次量化秘鲁克里奥尔山羊奶碳足迹，方法规范数据扎实，但属区域性研究，对国内三农信息化参考价值有限。",[122],{"name":113,"url":110},[124,28,29,125,126],"温室气体","山羊养殖","秘鲁农业",{"code":61,"slug":128,"name":129,"path":130,"parent_code":131},"ruminants","草食牲畜","\u002Ftopic\u002Flivestock\u002Fruminants","C",[133],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":135},{"candidates":136,"agricultural_evidence":47},[137,141,147,154],{"code":33,"score":46,"supported":47,"title":138,"abstract":139,"tags":140},[49],[28,49],[124,29,28],{"code":61,"score":118,"supported":47,"title":142,"abstract":144,"tags":146},[143],"goat",[145,143],"山羊",[],{"code":148,"score":54,"supported":47,"title":149,"abstract":150,"tags":153},"A8",[],[151,152],"粮食安全","food security",[],{"code":53,"score":54,"supported":47,"title":155,"abstract":156,"tags":157},[],[57,58],[],[159,160],"秘鲁 山羊 碳足迹","生命周期评价 山羊养殖 温室气体 秘鲁农业","秘鲁山羊碳足迹-3451","10.1016\u002Fj.agsy.2026.104993",{"doi":162,"openalex_id":164,"authors":165,"venue":113,"cited_by_count":96,"oa_url":110,"card":178,"direction":101,"ingested_from":103},"W7214193981",[166,168,170,172,174,176],{"name":167,"orcid":9},"Richard Ayala Roldan",{"name":169,"orcid":9},"Miguel Paredes-Chocce",{"name":171,"orcid":9},"Hugo Castillo Doloriert",{"name":173,"orcid":9},"David Godoy-Padilla",{"name":175,"orcid":9},"Juancarlos Alejandro Cruz-Luis",{"name":177,"orcid":9},"José Antonio Haro-Reyes",{"tldr":179,"method":180,"finding":181,"direction":101,"opportunity":182},"首次评估秘鲁两种放牧系统下克里奥尔山羊奶的碳足迹，发现系统间无显著差异。","生命周期评价，IPCC方法估算CH₄、N₂O、CO₂，混合效应模型分析。","碳足迹为0.681-1.672 kg CO₂-eq\u002Fkg FPCM，肠道发酵占74-79%，季节影响","可探究季节调控放牧管理以减少肠道发酵排放，并拓展其他 marginal 畜牧系统的碳足迹研究。","2026-09-25T23:30:04.201454Z",{"id":185,"title":186,"url":187,"summary":188,"summary_zh":9,"content":9,"source_name":189,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":190,"score_detail":191,"sources":194,"tags":196,"primary_topic":201,"secondary_topics":202,"classification":203,"search_phrases":222,"slug":225,"view_count":96,"doi":9,"paper":226,"created_at":234},5360,"国家农业绿色发展试点区对农业碳排放的影响:基于 284 城市 2013-2023 年面板数据","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37540958","研究基于 284 个城市 2013—2023 年面板数据,以国家农业绿色发展试点区(NAGDPZ)为准自然实验,采用双重差分法(DID)系统评估政策对农业碳排放的影响。研究发现:(1)NAGDPZ 政策显著降低农业碳排放,系数为 -0.008(10% 显著);(2)机制分析表明减排效应主要通过农业生产效率提升、数字普惠金融发展和农村创新创业推动;(3)异质性分析显示南方、非粮食主产区、农业金融支持水平较高地区的碳减排效应更显著,系数分别为 -0.008、-.016、-0.015。","《中国环境科学》46(1):555-567 2026",78,{"impact":17,"substance":17,"depth":19,"authority":118,"freshness":192,"relevant":22,"comment":193},2,"基于284城市十年面板数据的政策评估，方法规范、结论有新意，但发表时间较早、时效性弱，适合作为研究型精选而非快讯。",[195],{"name":189,"url":187},[27,197,198,199,200],"数字普惠金融","双重差分","农业碳排放","绿色试点区",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":204},{"candidates":205,"agricultural_evidence":47},[206,213,218],{"code":33,"score":207,"supported":47,"title":208,"abstract":211,"tags":212},24,[209,210],"碳排放","农业碳",[209,210],[199,27],{"code":214,"score":22,"supported":14,"title":215,"abstract":216,"tags":217},"G3",[],[],[197],{"code":75,"score":22,"supported":14,"title":219,"abstract":220,"tags":221},[],[],[27],[223,224],"国家农业绿色发展试点区 农业碳排放","284城市 面板数据 碳减排","国家农业绿色发展试点区农业碳排放-5360",{"doi":9,"openalex_id":9,"authors":227,"venue":9,"cited_by_count":96,"oa_url":9,"card":228,"direction":101,"ingested_from":233},[],{"tldr":229,"method":230,"finding":231,"direction":101,"opportunity":232},"基于284城市面板数据，用DID评估国家农业绿色发展试点区对农业碳排放的影响。","284城市2013-2023年面板数据，双重差分法（DID）准自然实验。","试点区政策显著降低农业碳排放，主要通过生产效率、数字普惠金融和农村创新创业实现。","可探究数字普惠金融与绿色试点政策的协同减排机制，及非粮食主产区的差异化政策设计。","agent","2026-10-20T02:47:54.150914Z",{"id":236,"title":237,"url":238,"summary":239,"summary_zh":240,"content":9,"source_name":10,"source_url":238,"published_at":241,"category":12,"cover_url":9,"hotness":13,"is_selected":47,"score":242,"score_detail":243,"sources":245,"tags":247,"primary_topic":251,"secondary_topics":252,"classification":253,"search_phrases":284,"slug":287,"view_count":83,"doi":288,"paper":289,"created_at":305},2028,"Carbon trading and agricultural green total factor productivity: evidence from China’s pilot carbon market and the mediating role of mechanization","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1922103","Agriculture is both a major source of greenhouse gas emissions and highly vulnerable to climate-related risks, yet the implications of carbon pricing for agricultural sustainability remain insufficiently understood. This study examines the effect of China’s carbon trading pilot policy (CTPP) on agricultural green total factor productivity (AGTFP) using a difference-in-differences (DID) model and panel data covering 30 provinces from 2005 to 2022. AGTFP is measured using the SBM–GML index, with agricultural carbon emissions treated as an undesirable output. The baseline results show that the CTPP increases AGTFP by 0.1351 units, equivalent to 18.3% of the sample mean. Given the staggered adoption of the policy, the robustness of this finding is further assessed using the heterogeneity-robust Callaway–Sant’Anna estimator. The resulting estimate remains positive and statistically significant, although cohort-specific pre-treatment variation warrants cautious interpretation. The mediation results suggest that agricultural mechanization, measured by the comprehensive mechanization rate of crop plowing, sowing, and harvesting (AMR), may constitute a potential transmission channel. The Sobel test provides marginal evidence of an indirect effect at the 10% significance level. Regional estimates are positive and statistically significant in eastern and western China but statistically insignificant in central China. These findings provide new evidence that carbon pricing directed at industrial emitters may generate spillovers to agricultural productivity and highlight the importance of coordinating carbon-market development with sustainable agricultural policy.","农业既是温室气体排放的主要来源，又高度易受气候相关风险的影响，然而碳定价对农业可持续性的影响仍缺乏充分认识。本研究利用双重差分（DID）模型和2005—2022年中国30个省份的面板数据，考察中国碳交易试点政策（CTPP）对农业绿色全要素生产率（AGTFP）的影响。AGTFP采用SBM–GML指数测算，并将农业碳排放作为非期望产出处理。基准结果显示，CTPP使AGTFP提高0.1351个单位，相当于样本均值的18.3%。鉴于该政策为交错实施，本文进一步使用对异质性稳健的Callaway–Sant’Anna估计量评估上述发现的稳健性。所得估计值仍为正且具有统计显著性，但各队列处理前差异需谨慎解读。中介结果表明，以农作物耕种收综合机械化率（AMR）衡量的农业机械化可能构成潜在传导渠道。Sobel检验在10%显著性水平上提供了间接效应存在的边际证据。分区域估计显示，东部和西部地区效应为正且具有统计显著性，中部地区则不具统计显著性。上述发现提供了新证据，表明针对工业排放主体的碳定价可能对农业生产率产生溢出效应，并凸显了协调碳市场发展与可持续农业政策的重要性。","2026-09-09T00:00:00Z",82,{"impact":17,"substance":17,"depth":46,"authority":20,"freshness":21,"relevant":22,"comment":244},"基于中国碳交易试点与30省面板数据的DID研究，证实碳定价对农业绿色全要素生产率存在正向溢出效应，方法规范、结论有新意，对农业绿色低碳政策有参考价值。",[246],{"name":10,"url":238},[248,27,199,249,250],"农业机械化","绿色全要素生产率","碳交易",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":254},{"candidates":255,"agricultural_evidence":47},[256,260,268,272,279],{"code":33,"score":119,"supported":47,"title":257,"abstract":258,"tags":259},[],[209,210],[199,27,250,249],{"code":261,"score":262,"supported":47,"title":263,"abstract":264,"tags":267},"F5",7,[],[265,266],"农业机械","机械化",[248],{"code":53,"score":54,"supported":47,"title":269,"abstract":270,"tags":271},[],[57,58],[],{"code":273,"score":54,"supported":47,"title":274,"abstract":275,"tags":278},"J1",[],[276,277],"农业政策","agricultural policy",[],{"code":75,"score":83,"supported":47,"title":280,"abstract":281,"tags":283},[],[282],"可持续农业",[27],[285,286],"绿色全要素生产率 农业绿色发展 农业机械化 农业碳排放","绿色全要素生产率 农业绿色发展","绿色全要素生产率农业绿色发展农业机械化农业碳排放-2028","10.3389\u002Ffsufs.2026.1922103",{"doi":288,"openalex_id":290,"authors":291,"venue":10,"cited_by_count":96,"oa_url":238,"card":300,"direction":101,"ingested_from":103},"W7211993243",[292,294,297],{"name":293,"orcid":9},"Jiayi Hou",{"name":295,"orcid":296},"Alessandra Castellini","https:\u002F\u002Forcid.org\u002F0000-0002-1750-4817",{"name":298,"orcid":299},"Fujiang Huang","https:\u002F\u002Forcid.org\u002F0000-0001-8567-6867",{"tldr":301,"method":302,"finding":303,"direction":101,"opportunity":304},"评估中国碳交易试点政策对农业绿色全要素生产率的影响及其机械化中介机制。","2005-2022年30省面板数据，SBM-GML测度AGTFP，DID与Cal","碳交易试点使AGTFP提高0.1351单位（约18.3%），机械化是潜在中介，东部和西部显著、中部不","可深入探究碳市场对农业的溢出机制，并检验机械化之外的其他中介路径及中部失效原因。","2026-09-10T23:30:07.179345Z",{"id":307,"title":308,"url":309,"summary":310,"summary_zh":9,"content":9,"source_name":113,"source_url":309,"published_at":241,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":311,"score_detail":312,"sources":315,"tags":317,"primary_topic":322,"secondary_topics":327,"classification":329,"search_phrases":346,"slug":349,"view_count":192,"doi":350,"paper":351,"created_at":378},2022,"Greenhouse gas emissions, carbon footprint and ecosystem economic performance of tropical pineapple fields: responses to five practical pineapple straw management patterns","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104948","Greenhouse gas emissions, carbon footprint and ecosystem economic performance of tropical pineapple fields: responses to five practical pineapple straw management patterns。Agricultural Systems",76,{"impact":313,"substance":117,"depth":46,"authority":118,"freshness":119,"relevant":22,"comment":314},15,"热带菠萝园秸秆管理模式的温室气体与碳足迹研究，数据与结论具增量，但属细分作物领域，产业影响有限。",[316],{"name":113,"url":309},[318,28,319,320,321],"生态经济","农业减排","菠萝","秸秆利用",{"code":53,"slug":323,"name":324,"path":325,"parent_code":326},"protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",[328],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":330},{"candidates":331,"agricultural_evidence":47},[332,336,341],{"code":33,"score":20,"supported":47,"title":333,"abstract":334,"tags":335},[49],[49],[319,28],{"code":53,"score":337,"supported":47,"title":338,"abstract":339,"tags":340},11,[58],[58],[],{"code":342,"score":22,"supported":14,"title":343,"abstract":344,"tags":345},"H5",[],[],[321],[347,348],"农业减排 生态经济 秸秆利用 碳足迹","农业减排 生态经济","农业减排生态经济秸秆利用碳足迹-2022","10.1016\u002Fj.agsy.2026.104948",{"doi":350,"openalex_id":352,"authors":353,"venue":113,"cited_by_count":96,"oa_url":9,"card":9,"direction":9,"ingested_from":103},"W7212051523",[354,357,360,362,364,367,368,371,374,375],{"name":355,"orcid":356},"Xin Jin","https:\u002F\u002Forcid.org\u002F0000-0002-7737-7506",{"name":358,"orcid":359},"Shoupeng Li","https:\u002F\u002Forcid.org\u002F0000-0002-5009-8013",{"name":361,"orcid":9},"Mingwan Chen",{"name":363,"orcid":9},"Chuangjun Wu",{"name":365,"orcid":366},"Changzhen Li","https:\u002F\u002Forcid.org\u002F0000-0002-8089-4838",{"name":365,"orcid":366},{"name":369,"orcid":370},"Huanyu Bao","https:\u002F\u002Forcid.org\u002F0009-0004-8127-1888",{"name":372,"orcid":373},"Changjiang Li","https:\u002F\u002Forcid.org\u002F0000-0002-5545-9690",{"name":372,"orcid":373},{"name":376,"orcid":377},"Yunze Ruan","https:\u002F\u002Forcid.org\u002F0000-0003-0079-9353","2026-09-10T23:30:04.465334Z",{"id":380,"title":381,"url":382,"summary":383,"summary_zh":9,"content":384,"source_name":385,"source_url":9,"published_at":386,"category":387,"cover_url":9,"hotness":13,"is_selected":14,"score":388,"score_detail":389,"sources":391,"tags":393,"primary_topic":399,"secondary_topics":400,"classification":401,"search_phrases":443,"slug":446,"view_count":96,"doi":9,"paper":9,"created_at":447},5498,"江西省「十五五」农业农村现代化规划印发 部署智慧农业与四季接续","https:\u002F\u002Fjx.ifeng.com\u002Fc\u002F8xPB4YCdgGF","《江西省「十五五」农业农村现代化规划》（赣府发〔2026〕16号）围绕32项重点任务展开，明确推进信息技术与农业深度融合，加快农业人工智能技术创新与场景拓展，建设农业农村大数据平台。规划还部署井冈山国家农业科技园区升建国家农高区，推广「村播」「田播」电商直播带货，并开展农产品碳足迹管理与农业碳交易。","（一）提升粮食等重要农产品供给保障水平。坚持产量产能、生产生态、增产增收一起抓，深入实施藏粮于地、藏粮于技战略，落实新一轮粮食产能提升行动，实施粮油作物大面积单产提升行动，建设吨粮片、高产片，促进良田良种良机良法集成增效。优化农产品种植结构，稳定水稻、油菜生产，大力发展油茶产业，提升大豆产能。优化生猪产能综合调控机制，推进牛羊产业扩量提质，促进畜禽养殖节本提质增效。推动农产品品种培优和品质提升，增加营养、健康、风味农产品供给。完善价格、补贴、保险“三位一体”的种粮农民收益保障机制，建立健全与周边省份粮食产销协作机制，强化粮食产购储加销协同保障。\n\n（二）构建多元化食物供给体系。践行大食物观，坚持农林牧渔并举，全方位、多用途开发食物资源。提升“菜篮子”产业质量和效益，推动蔬菜、水果、茶叶、中药材产业优质发展。丰富畜产品供给，发展蜂、兔、肉鸽、鹌鹑等特色养殖。积极发展大水面生态渔业，科学推进稻渔综合种养。发展林下经济，壮大林药和森林食品。发展富硒食品与功能食品，开发新型食品资源。\n\n（三）加强耕地保护与质量提升。严格落实耕地保护党政同责，严守耕地保护红线。统筹农用地布局优化，严格耕地占补平衡管理，规范补充耕地质量验收。科学开展红壤改良利用，推进酸化耕地治理，分阶段实施耕地有机质提升行动。分区分类高质量推进高标准农田建设，对新建和改造提升实行差异化投入，优先在鄱阳湖平原、赣抚平原、吉泰盆地等区域推进整区域建设，逐步把具备条件的永久基本农田建成高标准农田。完善高标准农田立项、建设、验收和管护机制，编制高标准农田建设全流程工作规范，统一建设标准、施工工艺、管理流程，压实管护责任。开展高标准农田整治提升行动，按照“集中修复一批、改造提升一批、疏通灌溉一批、置换退出一批”分类施策，逐步补齐设施短板、消除存量问题。健全完善问题发现响应处置机制。实施大中型灌区现代化建设与改造，推动井冈灌区、赣抚平原灌区等项目建设，强化高标准农田渠系与灌区骨干工程衔接。\n\n（四）提升农业防灾减灾救灾能力。发展韧性农业，完善农业气象、水文、地质灾害等监测预警机制。推进防洪排涝抗旱设施建设，持续开展农田沟渠修复整治、中小河流和平原涝区治理。完善农机应急救灾设施装备条件,健全和落实救灾机具配置、救灾备荒种子储备和应急调用机制，加快补齐烘干、仓储等设施装备短板。强化病虫疫情和重大动物疫病监测预警、联防联控和应急处置，建强县乡动植物疫病防控专业队伍。","凤凰网江西 2026-10-21","2026-10-21T00:00:00Z","政策",80,{"impact":17,"substance":18,"depth":19,"authority":21,"freshness":119,"relevant":22,"comment":390},"省级「十五五」农业农村现代化规划全文，条款与数字细节充实，涉及智慧农业、高标准农田、粮食产能等实质部署，值得进入每日精选。",[392],{"name":385,"url":382},[394,395,396,397,398],"智慧农业","高标准农田","十五五规划","大食物观","粮食产能",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":402},{"candidates":403,"agricultural_evidence":47},[404,410,415,419,425,429,434,439],{"code":405,"score":337,"supported":47,"title":406,"abstract":408,"tags":409},"J2",[407],"农业农村现代化",[407],[],{"code":411,"score":119,"supported":47,"title":412,"abstract":413,"tags":414},"I1",[394],[],[394],{"code":33,"score":54,"supported":47,"title":416,"abstract":417,"tags":418},[],[210,28],[],{"code":420,"score":69,"supported":47,"title":421,"abstract":422,"tags":424},"I2",[],[423],"农业人工智能",[],{"code":148,"score":22,"supported":14,"title":426,"abstract":427,"tags":428},[],[],[398],{"code":430,"score":22,"supported":14,"title":431,"abstract":432,"tags":433},"E2",[],[],[397],{"code":435,"score":22,"supported":14,"title":436,"abstract":437,"tags":438},"H1",[],[],[395],{"code":273,"score":22,"supported":14,"title":440,"abstract":441,"tags":442},[],[],[396],[444,445],"江西 十五五 农业农村现代化规划","江西 高标准农田 鄱阳湖平原","江西十五五农业农村现代化规划-5498","2026-10-22T00:06:58.106992Z",{"id":449,"title":450,"url":451,"summary":452,"summary_zh":453,"content":9,"source_name":10,"source_url":451,"published_at":454,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":455,"score_detail":456,"sources":461,"tags":463,"primary_topic":468,"secondary_topics":473,"classification":480,"search_phrases":537,"slug":540,"view_count":96,"doi":541,"paper":542,"created_at":563},5472,"Turning dirt into gold: the business case of soil carbon for agrarian pathways in arid climate","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1966265","Introduction Agricultural carbon sequestration offers considerable potential for mitigating anthropogenic climate change, particularly in the low-organic-carbon soils of the Middle East. This study presents a foundational scenario-based assessment of soil carbon sequestration and economic feasibility. Materials and methods Crop production and market datasets from Jordanian statistics (1998–2023) were used to estimate potential soil carbon sequestration and economic performance. Using benchmarks from literature in comparable agroecological regions, four soil carbon management practices were evaluated across multiple crops for their carbon storage potential using Monte Carlo uncertainty and sensitivity analysis. Sensitivity of economic performance was assessed under optimistic\u002Fpessimistic scenarios. Results Among the evaluated practices, the highest carbon sequestration rate was achieved through increased Soil Organic Carbon (SOC), reaching a maximum of 27.44 metric tons of CO₂ per hectare per year (tCO₂\u002Fha\u002Fyear) under the high scenario for cucumbers. In contrast, barley showed the highest sequestration rate at 0.45 tCO₂\u002Fha\u002Fyear under increased SOC in the high scenario. Sensitivity analysis showed that ±20% uncertainty in the management coefficients resulted in practice-specific changes of 1.11 tCO₂\u002Fha\u002Fyear for increased SOC and 0.46 tCO₂\u002Fha\u002Fyear for improved cropland management. Horticultural crops, particularly cucumbers and lemons, exhibited the highest sequestration rates and strongest responses to management interventions. Field crops such as wheat, barley, and olives demonstrated lower, more stable sequestration rates. Economic analysis revealed that cucumbers, grapes, potatoes, and Open-field farming (OFF) tomatoes achieved the highest tri-pillar performance (net and adjusted profits and break-even cost) alongside effective carbon sequestration. These findings highlight that crop choice is a primary determinant of both crop profitability and sequestrated carbon potential and feasibility, with significant implications for climate-smart agriculture, carbon credit mechanisms, and intensification strategies in data-scarce regions. Study limitations While empirical field validation remains a future priority, this model-based study provides a screening-level theoretical baseline to guide targeted research and investment in arid agricultural systems.","引言 农业碳封存为缓解人为气候变化提供了可观潜力，尤其是在中东低有机碳土壤中。本研究提出了一项基于情景的土壤碳封存与经济学可行性基础评估。材料与方法 利用约旦统计数据（1998—2023年）中的作物生产和市场数据集，估算潜在的土壤碳封存及经济表现。参考可比农业生态区域文献中的基准值，采用蒙特卡洛不确定性分析和敏感性分析，评估了四种土壤碳管理措施在多种作物上的碳储存潜力。在乐观\u002F悲观情景下评估了经济表现的敏感性。结果 在评估的各项措施中，通过增加土壤有机碳（SOC）实现的碳封存速率最高，在黄瓜的高情景下达到最高27.44公吨二氧化碳\u002F公顷\u002F年（tCO₂\u002Fha\u002Fyear）。相比之下，大麦在增加SOC的高情景下表现出最高的封存速率，为0.45 tCO₂\u002Fha\u002Fyear。敏感性分析表明，管理系数±20%的不确定性导致增加SOC和改善农田管理分别产生1.11 tCO₂\u002Fha\u002Fyear和0.46 tCO₂\u002Fha\u002Fyear的措施特异性变化。园艺作物，尤其是黄瓜和柠檬，表现出最高的封存速率和对管理干预的最强响应。小麦、大麦和橄榄等大田作物表现出较低但更稳定的封存速率。经济分析显示，黄瓜、葡萄、马铃薯和露地栽培（OFF）番茄在有效碳封存的同时实现了最高的三支柱表现（净利润、调整后利润和盈亏平衡成本）。这些发现突出表明，作物选择是作物盈利能力和封存碳潜力及可行性的主要决定因素，对气候智慧型农业、碳信用机制和数据稀缺地区的集约化策略具有重要意义。研究局限性 尽管田间实证验证仍是未来的优先事项，但这项基于模型的研究提供了筛选层面的理论基线，以指导干旱农业系统中的针对性研究和投资。","2026-10-20T00:00:00Z",70,{"impact":457,"substance":458,"depth":459,"authority":20,"freshness":119,"relevant":22,"comment":460},12,20,16,"基于约旦1998–2023年统计数据的模型情景研究，量化了不同作物固碳速率与经济收益，对干旱区农业碳汇与碳信用机制有参考价值，但属区域性模拟研究，尚未经田间验证。",[462],{"name":10,"url":451},[464,250,465,466,467],"气候智慧农业","干旱农业","土壤碳汇","作物选择",{"code":469,"slug":470,"name":471,"path":472,"parent_code":37},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[474,479],{"code":475,"slug":476,"name":477,"path":478,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":481},{"candidates":482,"agricultural_evidence":47},[483,488,495,500,507,514,520,526,532],{"code":469,"score":118,"supported":47,"title":484,"abstract":485,"tags":487},[470],[486,470],"土壤",[],{"code":475,"score":13,"supported":47,"title":489,"abstract":490,"tags":494},[],[491,492,493],"气候变化","干旱","climate change",[464],{"code":33,"score":21,"supported":47,"title":496,"abstract":497,"tags":499},[],[210,498],"carbon sequestration",[466,250],{"code":501,"score":54,"supported":47,"title":502,"abstract":503,"tags":506},"A2",[],[504,505],"小麦","wheat",[],{"code":508,"score":54,"supported":47,"title":509,"abstract":510,"tags":513},"B1",[],[511,512],"番茄","黄瓜",[],{"code":515,"score":69,"supported":47,"title":516,"abstract":517,"tags":519},"A5",[],[518],"马铃薯",[],{"code":521,"score":69,"supported":47,"title":522,"abstract":523,"tags":525},"B2",[],[524],"葡萄",[],{"code":527,"score":69,"supported":47,"title":528,"abstract":529,"tags":531},"H6",[],[530],"农业生态",[],{"code":411,"score":69,"supported":47,"title":533,"abstract":534,"tags":536},[],[535],"smart agriculture",[],[538,539],"约旦 土壤碳汇 黄瓜","土壤固碳 经济可行性","约旦土壤碳汇黄瓜-5472","10.3389\u002Ffsufs.2026.1966265",{"doi":541,"openalex_id":543,"authors":544,"venue":10,"cited_by_count":96,"oa_url":451,"card":557,"direction":562,"ingested_from":103},"W7223064172",[545,547,549,552,554],{"name":546,"orcid":9},"Tasnim Althalaj",{"name":548,"orcid":9},"Ross. M. Thompson",{"name":550,"orcid":551},"Tala H. Qtaishat","https:\u002F\u002Forcid.org\u002F0000-0002-2700-6686",{"name":553,"orcid":9},"Dan Bumblauskas",{"name":555,"orcid":556},"Fayha Al-Shibli","https:\u002F\u002Forcid.org\u002F0000-0002-5628-0975",{"tldr":558,"method":559,"finding":560,"direction":101,"opportunity":561},"基于约旦1998–2023年数据，评估干旱区土壤固碳潜力与经济可行性。","用蒙特卡洛不确定性与敏感性分析，评估四种土壤碳管理措施在多作物下的表现。","黄瓜等园艺作物固碳率最高，作物选择是固碳与盈利的关键决定因素。","数据稀缺干旱区可结合田间验证与碳信用机制，研究作物级固碳经济激励设计。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:07.383006Z"]