[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3333":3,"related-3333":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":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":82,"slug":85,"view_count":86,"doi":87,"paper":88,"created_at":112},3333,"Beyond administrative boundaries: how agricultural socialized services drive grain-oriented cropping transformation in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1920691","China’s grain security rests on a smallholder sector in which the average household cultivates 0.6 hectares, a scale that constrains mechanization and limits gains in production efficiency. Since 2013 the government has responded through agricultural socialized service (ASS) pilots, which deliver mechanized and technical services to fragmented producers without altering land ownership. Causal evidence on how such policies reshape land allocation remains scarce, and their reach beyond implementing jurisdictions has been largely overlooked. Drawing on a panel of 30 Chinese provinces from 2006 to 2022, this study combines a multi-period difference-in-differences design with a spatial Durbin model to estimate the effect of the ASS pilots on grain-oriented cropping structure. The policy raises the grain share of sown area by 2.8 percentage points, an effect concentrated almost entirely in wheat, the most mechanization-compatible of the major grains. Four transmission channels register significant responses: land transfer consolidation, agricultural mechanization, cooperative development, and a widening rather than a narrowing of the grain portfolio. The last of these runs counter to the conventional specialization account and is consistent with service provision relaxing the timing constraint on multiple cropping, so that grain expansion and crop diversity advance together rather than trading off. Heterogeneity tracks physical conditions more closely than administrative geography: the estimated effect in plains provinces is roughly twice that in hilly provinces, whereas differences across the eastern, central and western belts are not statistically distinguishable. Spillovers are substantial. Indirect effects are 1.8 times direct effects and account for close to two thirds of the total, so non-spatial estimation understates the total policy effect by approximately 41% while overstating its purely local component by approximately 40%. Three implications follow: target service expansion by mechanization compatibility rather than by administrative region; sequence implementation outward from high-capacity provinces so that spillovers are harvested deliberately rather than incidentally; and evaluate service-oriented policies at a supra-provincial scale, since province-by-province assessment misstates both their magnitude and their geographic incidence.","中国的粮食安全建立在小农部门之上，户均耕地仅0.6公顷，这一规模制约了机械化并限制了生产效率的提升。自2013年以来，政府通过农业社会化服务（agricultural socialized service，ASS）试点予以应对，在不改变土地所有权的前提下，为细碎化生产者提供机械化与技术服务。关于此类政策如何重塑土地配置的因果证据仍然稀缺，且其超出实施辖区之外的溢出效应在很大程度上被忽视。本研究基于2006年至2022年中国30个省份的面板数据，将多期双重差分设计与空间杜宾模型相结合，估计ASS试点对粮食导向种植结构的影响。该政策使粮食播种面积占比提高2.8个百分点，这一效应几乎完全集中于小麦——主要粮食品种中与机械化兼容性最高者。四条传导渠道呈现显著响应：土地流转整合、农业机械化、合作社发展，以及粮食组合的拓宽而非收窄。最后一条与传统的专业化解释相悖，而与服务供给放松多熟制时间约束相一致，从而使粮食扩张与作物多样性齐头并进而非相互权衡。异质性更多地随自然条件而非行政区划而变化：平原省份的估计效应约为丘陵省份的两倍，而东部、中部和西部地带之间的差异在统计上不可区分。溢出效应十分显著。间接效应为直接效应的1.8倍，占总效应的近三分之二，因此非空间估计将政策总效应低估约41%，同时将其纯本地成分高估约40%。由此得出三点启示：应按机械化兼容性而非行政区划来定位服务扩展；从高能力省份向外依次推进实施，以便有意识地而非偶然地获取溢出效应；并在跨省尺度上评估服务导向型政策，因为逐省评估会误判其效应大小和地理分布。",null,"Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z","论文",10,false,86,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,14,9,1,"基于30省2006—2022年面板数据的准自然实验研究，量化农业社会化服务试点对粮食种植结构的因果效应与跨省溢出，结论对服务政策的空间布局有直接参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","农业机械化","农业社会化服务","空间溢出效应","农地流转",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,55,62,69,77],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":54},11,true,[],[50,51,52,53],"土地流转","社会化服务","smallholder","land transfer",[29,31],{"code":56,"score":57,"supported":47,"title":58,"abstract":59,"tags":61},"A8",7,[],[27,60],"grain security",[27],{"code":63,"score":57,"supported":47,"title":64,"abstract":65,"tags":68},"F5",[],[66,67],"农业机械","机械化",[28],{"code":70,"score":71,"supported":47,"title":72,"abstract":73,"tags":76},"A2",6,[],[74,75],"小麦","wheat",[],{"code":78,"score":22,"supported":14,"title":79,"abstract":80,"tags":81},"I4",[],[],[30],[83,84],"农业社会化服务 粮食种植结构","农业社会化服务试点 空间杜宾模型","农业社会化服务粮食种植结构-3333",5,"10.3389\u002Ffsufs.2026.1920691",{"doi":87,"openalex_id":89,"authors":90,"venue":10,"cited_by_count":104,"oa_url":6,"card":105,"direction":109,"ingested_from":111},"W7214079035",[91,94,97,99,101],{"name":92,"orcid":93},"Ruofan Liao","https:\u002F\u002Forcid.org\u002F0009-0009-5058-7368",{"name":95,"orcid":96},"Kexin Zhang","https:\u002F\u002Forcid.org\u002F0009-0000-3967-2080",{"name":98,"orcid":9},"Zhengtao Chen",{"name":100,"orcid":9},"Mi Tan",{"name":102,"orcid":103},"Jianxu Liu","https:\u002F\u002Forcid.org\u002F0000-0002-2128-6015",0,{"tldr":106,"method":107,"finding":108,"direction":109,"opportunity":110},"评估农业社会化服务试点如何跨行政区推动粮食种植结构转型。","2006-2022年30省面板，多期DID与空间杜宾模型。","试点使粮食播种面积占比提高2.8个百分点，以小麦为主，溢出效应约为直接效应的1.8倍。","数字乡村与农业信息化","可研究社会化服务跨区溢出的空间机制，及机械化适配性对作物多样性与粮食安全协同的影响。","openalex","2026-09-24T23:30:07.111992Z",{"total":71,"page":22,"page_size":71,"items":114},[115,191,292,384,432,539],{"id":116,"title":117,"url":118,"summary":119,"summary_zh":9,"content":9,"source_name":120,"source_url":9,"published_at":121,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":122,"score_detail":123,"sources":125,"tags":127,"primary_topic":131,"secondary_topics":132,"classification":145,"search_phrases":178,"slug":181,"view_count":104,"doi":9,"paper":182,"created_at":190},4735,"干旱区农技社会化服务试点政策对县域粮食生产的激励效应——基于双重机器学习因果推断","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F176878.html","基于2015至2023年200县面板,采用双重差分与双重机器学习方法评估2021年农业社会化服务试点政策。结果显示政策显著促进县域粮食产量,但呈短期脉冲效应,中等收入地区呈倒U型,主要依赖规模扩张而非效率扩张路径","干旱区资源与环境 2026-10-08","2026-10-08T00:00:00Z",78,{"impact":19,"substance":17,"depth":19,"authority":20,"freshness":71,"relevant":22,"comment":124},"基于200县面板与双重机器学习的因果推断，方法新颖、数据扎实，对评估社会化服务试点政策有实质参考价值。",[126],{"name":120,"url":118},[27,128,129,29,130],"因果推断","县域农业","试点政策",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[133,139],{"code":134,"slug":135,"name":136,"path":137,"parent_code":138},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"code":140,"slug":141,"name":142,"path":143,"parent_code":144},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":40,"locked":14,"version":41,"method":42,"evidence":146},{"candidates":147,"agricultural_evidence":47},[148,153,158,163,169,173],{"code":33,"score":149,"supported":47,"title":150,"abstract":151,"tags":152},12,[51],[51],[29],{"code":134,"score":46,"supported":47,"title":154,"abstract":156,"tags":157},[155],"机器学习",[155],[],{"code":159,"score":21,"supported":47,"title":160,"abstract":161,"tags":162},"I7",[128],[],[128],{"code":140,"score":164,"supported":47,"title":165,"abstract":167,"tags":168},8,[166],"干旱",[],[],{"code":56,"score":22,"supported":14,"title":170,"abstract":171,"tags":172},[],[],[27],{"code":174,"score":22,"supported":14,"title":175,"abstract":176,"tags":177},"G4",[],[],[129],[179,180],"农业社会化服务试点 县域粮食产量","双重机器学习 粮食生产","农业社会化服务试点县域粮食产量-4735",{"doi":9,"openalex_id":9,"authors":183,"venue":9,"cited_by_count":104,"oa_url":9,"card":184,"direction":109,"ingested_from":189},[],{"tldr":185,"method":186,"finding":187,"direction":109,"opportunity":188},"评估干旱区农技社会化服务试点政策对县域粮食产量的因果效应。","2015-2023年200县面板，双重差分与双重机器学习因果推断。","政策显著增产但为短期脉冲效应，中等收入地区呈倒U型，靠规模扩张而非效率提升。","可探究政策长期效应衰减机制及如何转向效率提升型服务模式。","agent","2026-10-12T00:11:14.975039Z",{"id":192,"title":193,"url":194,"summary":195,"summary_zh":9,"content":196,"source_name":197,"source_url":9,"published_at":11,"category":198,"cover_url":9,"hotness":13,"is_selected":47,"score":199,"score_detail":200,"sources":204,"tags":206,"primary_topic":211,"secondary_topics":212,"classification":218,"search_phrases":287,"slug":290,"view_count":237,"doi":9,"paper":9,"created_at":291},3289,"专家解读：乘数而上向智而行——大力发展智慧农业 加快建设数字乡村 智慧农业与小农户有机衔接","https:\u002F\u002Fwww.thepaper.cn\u002FnewsDetail_forward_34116699","专家解读文章指出：近年来农机北斗终端实现快速规模化推广，截至2025年底累计推广超350万台套。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供菜单式服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户点单即享的标准化服务。十五五时期是基本实现农业农村现代化的关键时期，《加快农业农村现代化十五五规划》明确要推进人工智能运用和智慧农业发展；农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地。","习近平总书记高度重视数字乡村建设和智慧农业发展，作出重要指示强调，“瞄准农业现代化主攻方向，提高农业生产智能化、经营网络化水平，帮助广大农民增加收入”“要用好现代信息技术，创新乡村治理方式，提高乡村善治水平”。2019年，中共中央办公厅、国务院办公厅印发了《数字乡村发展战略纲要》。此后，中央一号文件连续八年对推进数字乡村和智慧农业作出重要部署。各地区各有关部门持续推进数字技术与农业生产、乡村生活日益融合，数字乡村建设和智慧农业发展取得重要阶段性成效。近日，国家互联网信息办公室、农业农村部联合发布《中国数字乡村发展报告（2019—2025年）》（以下简称《报告》），系统总结了七年来我国数字乡村发展的成就和经验。《报告》立足新形势新要求，展示了以信息基础设施为底座、数据资源体系为核心、智慧农业与乡村数字经济为重点、数字文化与数字治理为支撑、信息服务与智慧美丽乡村为拓展、政策机制与人才队伍为保障的体系化发展路径。该《报告》不仅为全面了解发展成效、科学谋划“十五五”数字乡村发展蓝图提供了重要参考，也积极回应各方关切，向国际社会展示了我国借助数字技术推动农业与乡村治理数智化转型的经验。回顾七年历程，智慧农业作为数字乡村建设的重要内容，已由试点探索转向快速起步、由点状突破迈向系统推进，正乘“数”而上，向“智”而行，为推进农业农村现代化提供有力支撑。\n\n一、智慧农业正从“盆景”走向“风景”\n\n数字乡村涵盖乡村经济、治理、文化、服务等多个维度，内涵丰富。《报告》提出，智慧农业是“农业新质生产力的重要内容，是乡村产业数字化的关键着力点”。智慧农业为数字乡村高质量发展提供了坚实的产业支撑，成为推动数字乡村发展的关键动能。《报告》显示，七年的探索推进和快速发展，推动智慧农业实现了“四个跨越”。\n\n第一，智慧农业基础设施实现从“基础覆盖”到“深化赋能”的跨越。完善的网络基础设施为智慧农业在田间地头、池塘圈舍的落地拓展提供了基础支撑。截至2025年底，农村地区互联网普及率达69.5%，较2018年底提升31.1个百分点。传统基础设施数字化为智慧农业提供了更加坚实的硬件底座和场景支撑，农村水利、农田、电网、公路及寄递物流等持续升级完善。农业数据资源日益丰富，为智慧农业落地应用提供了基础资源和创新引擎，“天空地一体化”监测网络等新型基础设施加快建设，全国农产品批发市场价格信息等涉农数据开发利用不断深入。\n\n第二，关键技术装备实现从“基础”到“核心”的跨越。智能农机装备研发应用取得重要进展，新一代信息技术与农业装备深度融合，正推动农业生产方式从“靠天吃饭”向“知天而作”加速转变。产学研用相衔接的智慧农业创新体系加快形成，支撑取得一批关键智慧农业技术装备创新成果。《报告》显示，截至2025年底，累计建设智慧农业创新中心、分中心34个，智慧农业创新应用项目116个，104项关键智慧农业技术和62项整机智能装备研发取得突破。智慧农业技术装备质量管控更加严格、应用推广不断拓展，布局建设国家农机装备产业计量测试中心，强化农机装备产业计算测试技术研究与应用。\n\n第三，主要产业数字化实现从“单点试验”到“面上推广”的跨越。大田种植领域，天空地一体化农情感知与数据驱动模式初步构建，实现水稻、小麦、玉米苗情长势动态监测。截至2025年底，累计推广应用各类农机北斗终端超350万台套，农用无人机保有量超过30万架、年作业面积突破4.6亿亩。智能农机共享租赁加速普及。畜禽养殖领域，精准饲喂、环境控制、行为分析等智能技术广泛应用于生猪养殖和家禽立体高效养殖中。全国659个动物防疫通道纳入信息化管理，动物检疫监督更加智能化、便捷化和高效化。渔业领域，数字技术持续赋能多元化养殖模式，智能化网箱设备、投料机器人等智能装备加速迭代，海洋养殖智能化水平不断提升。\n\n第四，粮食安全保障实现从“人工管控”到“数智赋能”的跨越。粮食安全是“国之大者”，数智技术正在为其构筑起坚实保障。在耕地保护方面，“三区三线”等“一张图”相关基础数据库进一步完善，让“藏粮于地”有了更坚实的数据底座，助力守牢18亿亩耕地红线。在种业振兴方面，中国种业大数据平台建成运行，全国农作物种质资源信息平台已上线58.8万份国家级库圃种质资源信息，为育种创新提供了坚实的资源基础。在防灾减损领域，气象预警信息全面接入全国123万个应急广播终端并在16个省份386个市县试行开展“闪信”技术应用，以气象预警为先导的应急响应联动机制更加健全。在仓储方面，借助数字化仓储技术，粮库储粮周期内综合损耗率控制在1%以内，支撑节粮减损效果明显。从种到收、从田间到粮仓，数智技术正在全链条赋能国家粮食安全保障体系。\n\n二、智慧农业发展需要坚定走好符合国情农情的路子\n\n七年来，在信息革命加速农业深刻变革的进程中，智慧农业加快发展、数字乡村建设深入推进，推动农业成为更有奔头的产业、农村成为更加宜居宜业的家园，为网络强国、农业强国建设贡献了重要力量。回顾七年实践，我们进一步深化了对智慧农业发展的规律性认识。\n\n一是政府引导与市场机制协同发力。党中央、国务院印发的《加快建设农业强国规划（2024—2035年）》、农业农村部印发的《关于大力发展智慧农业的指导意见》《全国智慧农业行动计划（2024—2028年）》等文件构建了智慧农业“四梁八柱”。七年来，从智慧农业创新中心布局到创新应用项目建设实施，从主推技术遴选、典型案例推介到智慧农业创新大赛，政府的“有形之手”在搭建平台、降低门槛、推动产业化等方面发挥了重要作用。同时，平台经济等推动拓展创业空间，返乡青年、家庭农场、农民合作社和农村个体商户以平台化方式进入市场、链接消费和重构经营模式，农村电商、数字服务等新业态加速发展，市场的“无形之手”进一步增强了智慧农业发展的动力活力。\n\n二是技术创新与农情农艺深度结合。农业不同于工业、农村不同于城市，发展智慧农业、建设数字乡村必须坚持问题导向、应用导向，走适宜化、低成本、易操作的技术路线。近年来，农机北斗终端实现快速规模化推广，在于其有效契合了播种、收获等关键环节的实际生产需求，让农民“用得上、用得起、用得好”。\n\n三是智慧农业与小农户有机衔接。“大国小农”的基本国情农情决定了智慧农业要实现大规模落地应用，必须坚持让小农户共享数字红利的现实路径。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供“菜单式”服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户“点单即享”的标准化服务，有效破解小农户“买不起、用不好”的难题。以社会化服务为纽带，智慧农业正成为促进小农户与现代农业发展有机衔接的重要手段。\n\n三、奋力推进“十五五”时期智慧农业建设\n\n“十五五”时期是基本实现农业农村现代化的关键时期。展望未来五年，数字乡村将加快迈向数智乡村，智慧农业建设将进入创新发展、落地见效的关键阶段。《加快农业农村现代化“十五五”规划》明确，要“推进人工智能运用和智慧农业发展”。这要求我们既要总结运用好实践中积累形成的宝贵经验，又要准确把握未来数智技术和农业发展新趋势。\n\n当前，人工智能等数智技术加速演进，深刻重塑农业发展的底层逻辑，为智慧农业发展带来了前所未有的新机遇。一是数据产业加快培育，释放要素价值潜能。数据从支撑农业农村发展的辅助性工具，逐步发展为具有独立价值、可市场化运营的新型生产要素，其基础资源和创新引擎作用日渐显现，数智技术加速内化成为农业农村领域的发展动能，要抓实数据这个根本，进一步加快“统筹部署农业农村数据基础设施”“发展农业农村领域数据产业”。二是应用场景全链拓展，场景驱动成为重要引擎。农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地，场景驱动技术迭代的效能日益凸显，要打造丰富多样的应用场景，“加快农业人工智能应用场景拓展”。三是新兴产业加快培育，拓展农业发展新空间。智能设计育种、新能源农机、农业低空经济等先导性产业规模化发展，开辟智慧农业高质量发展全新赛道，要从智能育种等产业急需领域做起，加快“培育发展乡村新产业新业态”。\n\n《报告》的发布既是阶段性总结，更是新征程的动员。面向“十五五”，我们要坚决贯彻党中央、国务院关于大力推进“人工智能+”农业的部署要求，在基础设施上强基固本，在关键技术装备上聚力攻坚，在产业数智化上扩面提效，在粮食安全保障上筑牢数字防线，加快推动智慧农业从“点上突破”迈向“面上成势”，从“量的积累”转向“质的跃升”。以智慧农业的创新发展，推动数字乡村高质量发展，为加快农业农村现代化、扎实推进乡村全面振兴注入更加澎湃的数智动能。\n\n作者：李韶民 农业农村部信息中心副主任\n\n原标题：《专家解读｜乘“数”而上 向“智”而行——大力发展智慧农业 加快建设数字乡村》\n\n[阅读原文](https:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg2ODA4MDIwNg==&mid=2247812104&idx=2&sn=0d26f89082d00b4df0d545a746ae8920&chksm=cf86c6565a4df065b13c07ba7a865f15b705b1f5daea9595cb732f4e76ca7a07f6080524f4d7&scene=7)","澎湃新闻 2026年09月23日","报道",93,{"impact":201,"substance":202,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":203},28,24,"农业农村部信息中心专家对《中国数字乡村发展报告（2019—2025年）》的系统解读，含大量权威数据与“十五五”方向判断，政策参考价值高。",[205],{"name":197,"url":194},[207,208,209,210,27,29],"数字乡村","智慧农业","农业人工智能","十五五规划",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[213],{"code":214,"slug":215,"name":216,"path":217,"parent_code":138},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",{"status":40,"locked":14,"version":41,"method":42,"evidence":219},{"candidates":220,"agricultural_evidence":47},[221,227,232,236,242,249,255,261,266,272,278,282],{"code":33,"score":222,"supported":47,"title":223,"abstract":225,"tags":226},15,[224],"小农户",[51,224],[29],{"code":228,"score":149,"supported":47,"title":229,"abstract":230,"tags":231},"I1",[208],[208],[208],{"code":214,"score":21,"supported":47,"title":233,"abstract":234,"tags":235},[207],[],[207],{"code":134,"score":237,"supported":47,"title":238,"abstract":239,"tags":241},4,[],[240],"大模型",[209],{"code":243,"score":244,"supported":47,"title":245,"abstract":246,"tags":248},"F2",3,[],[247],"生物育种",[],{"code":250,"score":244,"supported":47,"title":251,"abstract":252,"tags":254},"F3",[],[253],"施肥",[],{"code":256,"score":244,"supported":47,"title":257,"abstract":258,"tags":260},"F4",[],[259],"植保",[],{"code":63,"score":244,"supported":47,"title":262,"abstract":263,"tags":265},[],[264],"农机",[],{"code":267,"score":244,"supported":47,"title":268,"abstract":269,"tags":271},"I3",[],[270],"农情监测",[],{"code":273,"score":244,"supported":47,"title":274,"abstract":275,"tags":277},"J2",[],[276],"农业农村现代化",[],{"code":56,"score":22,"supported":14,"title":279,"abstract":280,"tags":281},[],[],[27],{"code":283,"score":22,"supported":14,"title":284,"abstract":285,"tags":286},"J1",[],[],[210],[288,289],"中国数字乡村发展报告 2019-2025","智慧农业 小农户 社会化服务","中国数字乡村发展报告2019-2025-3289","2026-09-24T00:03:56.916759Z",{"id":293,"title":294,"url":295,"summary":296,"summary_zh":297,"content":9,"source_name":298,"source_url":295,"published_at":299,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":300,"score_detail":301,"sources":303,"tags":305,"primary_topic":309,"secondary_topics":314,"classification":317,"search_phrases":361,"slug":364,"view_count":104,"doi":365,"paper":366,"created_at":383},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations","2026-10-20T00:00:00Z",55,{"impact":164,"substance":19,"depth":222,"authority":71,"freshness":164,"relevant":22,"comment":302},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[304],{"name":298,"url":295},[27,224,306,307,308],"气候智慧农业","农业推广","津巴布韦",{"code":56,"slug":310,"name":311,"path":312,"parent_code":313},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[315,316],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":140,"slug":141,"name":142,"path":143,"parent_code":144},{"status":40,"locked":14,"version":41,"method":42,"evidence":318},{"candidates":319,"agricultural_evidence":47},[320,325,329,336,342,349,356],{"code":56,"score":222,"supported":47,"title":321,"abstract":323,"tags":324},[322],"food security",[27,322],[27],{"code":33,"score":222,"supported":47,"title":326,"abstract":327,"tags":328},[52],[224,52],[224],{"code":140,"score":13,"supported":47,"title":330,"abstract":331,"tags":335},[],[332,166,333,334],"气候变化","climate change","drought",[306],{"code":337,"score":57,"supported":47,"title":338,"abstract":339,"tags":341},"G1",[],[307,340],"agricultural extension",[307],{"code":343,"score":71,"supported":47,"title":344,"abstract":345,"tags":348},"A3",[],[346,347],"玉米","maize",[],{"code":350,"score":71,"supported":47,"title":351,"abstract":352,"tags":355},"G3",[],[353,354],"农村金融","rural finance",[],{"code":228,"score":244,"supported":47,"title":357,"abstract":358,"tags":360},[],[359],"smart agriculture",[],[362,363],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":365,"openalex_id":367,"authors":368,"venue":298,"cited_by_count":104,"oa_url":9,"card":377,"direction":382,"ingested_from":111},"W7223029383",[369,372,375],{"name":370,"orcid":371},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":373,"orcid":374},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":376,"orcid":9},"Patience Mutopo",{"tldr":378,"method":379,"finding":380,"direction":109,"opportunity":381},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:08.937079Z",{"id":385,"title":386,"url":387,"summary":388,"summary_zh":9,"content":9,"source_name":389,"source_url":9,"published_at":299,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":122,"score_detail":390,"sources":395,"tags":397,"primary_topic":400,"secondary_topics":401,"classification":402,"search_phrases":419,"slug":422,"view_count":104,"doi":423,"paper":424,"created_at":431},5457,"数字化水平、农业社会化服务对农业现代化的影响 (Impact of Digitalization and Agricultural Socialized Services on Agricultural Modernization)","http:\u002F\u002Fzgnjhxb.niam.com.cn\u002FCN\u002F10.13733\u002Fj.jcam.issn.2095-5553.2026.10.031","基于2013—2023年30个省份面板数据，熵值TOPSIS法测度农业现代化指数，双向固定效应模型检验机制。数字化显著促进农业现代化，经市场化水平传导，农业社会化服务起调节作用。对非粮食主产区显著，对主产区不显著。","中国农机化学报 2026-10-20",{"impact":19,"substance":391,"depth":392,"authority":393,"freshness":21,"relevant":22,"comment":394},21,17,13,"基于30省十年面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文而非产业事件，适合精选但非头条。",[396],{"name":389,"url":387},[207,398,399,29],"省级面板","农业现代化",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":403},{"candidates":404,"agricultural_evidence":47},[405,411,415],{"code":273,"score":406,"supported":47,"title":407,"abstract":409,"tags":410},20,[399,408],"agricultural modernization",[399],[399],{"code":33,"score":149,"supported":47,"title":412,"abstract":413,"tags":414},[51],[51],[29],{"code":214,"score":22,"supported":14,"title":416,"abstract":417,"tags":418},[],[],[207],[420,421],"数字化 农业社会化服务 农业现代化","熵值TOPSIS 农业现代化指数","数字化农业社会化服务农业现代化-5457","10.13733\u002Fj.jcam.issn.2095-5553.2026.10.031",{"doi":423,"openalex_id":9,"authors":425,"venue":9,"cited_by_count":104,"oa_url":9,"card":426,"direction":109,"ingested_from":189},[],{"tldr":427,"method":428,"finding":429,"direction":109,"opportunity":430},"用省级面板数据检验数字化对农业现代化的促进机制。","2013—2023年30省面板数据，熵值TOPSIS测度，双向固定效应模型。","数字化显著促进农业现代化，经市场化传导，社会化服务起调节作用，主产区不显著。","可探究粮食主产区数字化效应不显著的成因，及社会化服务与数字化的协同机制。","2026-10-21T00:10:07.928719Z",{"id":433,"title":434,"url":435,"summary":436,"summary_zh":437,"content":9,"source_name":438,"source_url":435,"published_at":439,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":440,"score_detail":441,"sources":444,"tags":446,"primary_topic":449,"secondary_topics":450,"classification":453,"search_phrases":520,"slug":523,"view_count":104,"doi":524,"paper":525,"created_at":538},5185,"When the rains are too much: El Niño, Smallholder Farmers and Food Security in Western Kenya","https:\u002F\u002Fdoi.org\u002F10.18697\u002Fajfand.155.ed182","When the rains are too much: El Niño, Smallholder Farmers and Food Security in Western Kenya For generations, farmers in Western Kenya have watched the skies carefully. The arrival, duration, and distribution of rainfall have traditionally provided important signals about when to prepare land, plant, weed, and harvest. But these signals are becoming increasingly difficult to read. Climate change is altering rainfall patterns, while increasingly frequent extreme weather events are making farming more uncertain. The current outlook for the October–December 2026 season brings this challenge sharply into focus. The IGAD Climate Prediction and Applications Centre (ICPAC) forecasts a wetter-than-normal season across much of the Greater Horn of Africa. The Lake Victoria Basin, which includes large parts of Western Kenya, is among the areas with a high likelihood of receiving more than 400 mm of seasonal rainfall. ICPAC reports that El Niño has developed and is expected to strengthen, while a positive Indian Ocean Dipole is also expected—climate conditions that are commonly associated with enhanced rainfall in the region, and is likely to run into February of 2027. But what does this mean for the smallholder farmer? The first point is that more rainfall does not necessarily mean more food. For a farmer whose livelihood depends almost entirely on rain-fed agriculture, abundant rainfall can be a blessing. It can replenish streams and water sources, improve soil moisture, restore pasture and create favourable conditions for crop production. If well distributed, the rains could contribute to improved harvests and household food supplies. The problem arises when rainfall is too intense, too concentrated or poorly distributed. A farmer may receive a great deal of rain in a few days and then experience a dry spell. Another farmer a few kilometres away may receive considerably less. Heavy downpours can cause flooding, waterlogging and soil erosion. Seeds may be washed away soon after planting. Young crops can be submerged or damaged. Valuable topsoil and nutrients can be carried away, reducing the productivity of land in subsequent seasons. This is particularly important in Western Kenya, where many households depend on small parcels of land for both food and income. A failed or damaged crop is not simply an agricultural loss. It can mean less food in the household, less money for school fees and health care, and fewer resources to purchase nutritious foods. The food-security paradox We must, therefore, look beyond agricultural production to food and nutrition security. A household may produce enough maize yet still have a poor diet if vegetables, legumes, fruits, milk, eggs or other foods are unavailable or unaffordable. Climate shocks can reduce this diversity. When crops are damaged, families may depend more heavily on whatever staple food remains available. This is why climate resilience must also be nutrition-sensitive. Western Kenya has a rich agricultural tradition and considerable potential for diversified food production. Farmers grow cereals, legumes, vegetables and root crops and keep livestock and poultry. Such diversity is not merely an agricultural advantage; it is a nutritional resource. It can provide different foods, spread risk and generate income at different times of the year. Climate adaptation should, therefore, not encourage farmers simply to produce more of one crop. It should help them build diverse and resilient farming systems. Women carry a large part of the burden The impact of erratic and excessive rainfall also has a gender dimension. Women in smallholder households are often deeply involved in food production, processing, preparation and household nutrition. When harvests fail, or food prices rise, women frequently have to find ways of stretching limited household resources to feed the family. When roads become impassable or markets are disrupted, women may have greater difficulty accessing food and agricultural inputs. When water sources are contaminated or damaged, household responsibilities can become even more demanding. Climate adaptation must therefore deliberately include women—not simply as beneficiaries, but as decision-makers, innovators, farmers and leaders. Young people must also be part of the solution There is another group that deserves greater attention: young people. Western Kenya cannot build climate-resilient agriculture while treating agriculture as an occupation of the past. Young people need to see opportunities in modern farming, agro-processing, food safety, climate information services, irrigation, digital agriculture and agricultural entrepreneurship. The increasing unpredictability of climate may actually provide an opportunity to make agriculture more innovative. Young people can help introduce new technologies, improve access to climate information, develop value-added products and create businesses around food production and processing. From forecasting to action The availability of a climate forecast is useful only if it reaches the people who need it in time. Farmers need information that answers practical questions: When should I plant? Which crops or varieties are appropriate? How can I protect my soil? What should I do if rainfall becomes excessive? How can I protect harvested food? Where can I obtain reliable seed and other inputs? Seasonal forecasts should, therefore, be translated into local, practical agricultural advice. ICPAC itself emphasizes that seasonal forecasts should be used together with weekly and monthly forecasts and national meteorological information. This requires stronger links between meteorological services, agricultural extension officers, researchers, county governments, farmer organizations and communities. We should also strengthen simple but important measures: water harvesting, drainage, terracing and soil conservation; planting crops and varieties suited to local conditions; maintaining vegetation cover; diversifying crops and livestock; improving storage facilities; and protecting food from moisture and contamination. Prepare before the rain comes The greatest lesson from the current El Niño outlook is perhaps that preparedness must begin before the first heavy rains arrive. Governments and development partners should not wait for floods, damaged roads, destroyed crops or food shortages before responding. Early warning should lead to early action. Farmers should be supported to prepare their farms, protect livestock, secure seed and inputs, strengthen food storage and identify alternative routes to markets. This is particularly important because the same season can produce both opportunities and losses. ICPAC notes that enhanced rainfall can support agricultural production and replenish water resources, but can simultaneously increase the risk of flooding, flash floods and landslides in vulnerable areas. A changing climate requires a different agricultural mindset Perhaps the most important change we need is in the way we think about farming. For too long, agricultural planning has often assumed that rainfall will behave according to a familiar calendar. That assumption is becoming increasingly unsafe. Farmers now have to manage not only too little rain, but also too much rain, rain at the wrong time and rain in the wrong place. The challenge is, therefore, not simply to produce more food. It is to build food systems that can continue providing adequate, diverse, safe and nutritious food under increasingly uncertain climatic conditions. Western Kenya's smallholder farmers should not be left alone to carry this burden. They need science that responds to their realities, extension services that reach them, climate information they can understand and use, financial services that help them manage risk, markets that function during difficult seasons, and policies that recognize the central role of smallholder agriculture in national food and nutrition security, and partners who are willing to appreciate and make use of indigenous knowledge. El Niño should, therefore, be viewed neither simply as a disaster nor automatically as a blessing. It is a climate event whose consequences will depend greatly on our preparedness. The question before us is not merely, “Will the rains come?” They probably will. The more important question is: Will our farmers, food systems and institutions be ready when they do? That is where climate resilience—and ultimately food and nutrition security—will be tested. Prof. Ruth Khasaya Oniang'o Founder and Editor-in-Chief, AJFAND ORCiD: https:\u002F\u002Forcid.org\u002F0009-0005-8344-9093","当雨水过多时：厄尔尼诺现象、小农户与肯尼亚西部的粮食安全\n\n世代以来，肯尼亚西部的农民一直密切关注着天空。降雨的到来、持续时间和分布，传统上为何时整地、播种、除草和收获提供了重要信号。但这些信号正变得越来越难以解读。气候变化正在改变降雨模式，而日益频繁的极端天气事件使农业变得更加不确定。当前对2026年10月至12月季节的展望使这一挑战凸显出来。政府间发展组织气候预测与应用中心（ICPAC）预测，大非洲之角大部分地区将迎来高于正常水平的湿润季节。维多利亚湖流域——包括肯尼亚西部的大部分地区——属于极有可能获得超过400毫米季节性降雨的区域之一。ICPAC报告称，厄尔尼诺现象已经形成并预计将增强，同时预计还将出现正印度洋偶极子——这些气候条件通常与该地区降雨增强相关，并可能持续到2027年2月。但这对小农户意味着什么？首先，更多降雨并不必然意味着更多粮食。对于生计几乎完全依赖雨养农业的农民来说，充沛的降雨可能是福。它可以补充溪流和水源、改善土壤湿度、恢复牧场，并为作物生产创造有利条件。如果分布良好，降雨可能有助于改善收成和家庭粮食供应。问题出现在降雨过于猛烈、过于集中或分布不均的时候。一个农民可能在几天内获得大量降雨，随后又经历一段干旱期。几公里外的另一个农民可能获得的降雨少得多。暴雨可能引发洪水、渍涝和土壤侵蚀。种子可能在播种后不久被冲走。幼苗可能被淹没或受损。宝贵的表土和养分可能被带走，降低土地在后续季节的生产力。这在肯尼亚西部尤为重要，因为许多家庭依赖小块土地获取食物和收入。作物歉收或受损不仅仅是农业损失。它可能意味着家庭食物减少、用于学费和医疗的钱减少，以及购买营养食品的资源减少。粮食安全……","African Journal of Food Agriculture Nutrition and Development","2026-10-16T00:00:00Z",75,{"impact":19,"substance":406,"depth":442,"authority":393,"freshness":164,"relevant":22,"comment":443},16,"核心期刊评论文章，结合El Niño预测讨论小农户气候适应与粮食营养安全，有实质分析与行动建议，但属区域案例、非信息化技术突破。",[445],{"name":438,"url":435},[447,27,224,306,448],"肯尼亚","气候预警",{"code":56,"slug":310,"name":311,"path":312,"parent_code":313},[451,452],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":140,"slug":141,"name":142,"path":143,"parent_code":144},{"status":40,"locked":14,"version":41,"method":42,"evidence":454},{"candidates":455,"agricultural_evidence":47},[456,460,464,470,477,481,487,493,499,505,510,514],{"code":56,"score":222,"supported":47,"title":457,"abstract":458,"tags":459},[322],[27,322],[27],{"code":33,"score":222,"supported":47,"title":461,"abstract":462,"tags":463},[52],[224,52],[224],{"code":140,"score":13,"supported":47,"title":465,"abstract":466,"tags":469},[],[332,166,333,467,468],"climate resilience","waterlogging",[306],{"code":471,"score":71,"supported":47,"title":472,"abstract":473,"tags":476},"H2",[],[474,475],"土壤","soil",[],{"code":343,"score":244,"supported":47,"title":478,"abstract":479,"tags":480},[],[347],[],{"code":482,"score":244,"supported":47,"title":483,"abstract":484,"tags":486},"B4",[],[485],"月季",[],{"code":488,"score":244,"supported":47,"title":489,"abstract":490,"tags":492},"C",[],[491],"livestock",[],{"code":494,"score":244,"supported":47,"title":495,"abstract":496,"tags":498},"C3",[],[497],"poultry",[],{"code":500,"score":244,"supported":47,"title":501,"abstract":502,"tags":504},"E4",[],[503],"food safety",[],{"code":256,"score":244,"supported":47,"title":506,"abstract":507,"tags":509},[],[508],"除草",[],{"code":337,"score":244,"supported":47,"title":511,"abstract":512,"tags":513},[],[340],[],{"code":515,"score":244,"supported":47,"title":516,"abstract":517,"tags":519},"H3",[],[518],"irrigation",[],[521,522],"El Niño 小农户 粮食安全","ICPAC 季节预报 肯尼亚","ElNiño小农户粮食安全-5185","10.18697\u002Fajfand.155.ed182",{"doi":524,"openalex_id":526,"authors":527,"venue":438,"cited_by_count":104,"oa_url":531,"card":532,"direction":109,"ingested_from":111},"W7222630373",[528],{"name":529,"orcid":530},"Ruth Khasaya Oniang'o","https:\u002F\u002Forcid.org\u002F0009-0005-8344-9093","https:\u002F\u002Fajfand.net\u002FVolume26\u002FNo8\u002FEditorialVol26No8.pdf",{"tldr":533,"method":534,"finding":535,"direction":536,"opportunity":537},"分析厄尔尼诺导致肯尼亚西部降雨过量对小农粮食安全的影响","基于ICPAC季节气候预测与厄尔尼诺、印度洋偶极子分析","降雨过多且分布不均会引发洪涝、土壤侵蚀，反而威胁小农粮食安全","农业绿色发展与碳","可结合遥感与农户调查，量化极端降雨时空分布对小农产量与粮食安全的非线性影响","2026-10-17T23:30:36.130973Z",{"id":540,"title":541,"url":542,"summary":543,"summary_zh":544,"content":9,"source_name":545,"source_url":542,"published_at":546,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":547,"score_detail":548,"sources":550,"tags":552,"primary_topic":555,"secondary_topics":556,"classification":558,"search_phrases":582,"slug":585,"view_count":22,"doi":586,"paper":587,"created_at":605},4983,"Climate Change and Livelihood Vulnerability among Smallholder Farming Households in the Diffa Region of Niger’s Lake Chad Basin","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjeai\u002F2026\u002Fv48i104567","Climate change affects agricultural production, on which 80% of rural communities in sub-Saharan Africa depend for their livelihoods. In the Lake Chad Basin, recent fluctuations in hydro-climatic conditions have compromised crop yields and food security, severely affecting smallholder farmers’ well-being. Enhancing their adaptive capacity and resilience is therefore essential for sustainable development. This study assesses smallholder farmers’ vulnerability to climate change-induced extreme weather events in rural areas of the Lake Chad Basin using the Livelihood Vulnerability Index (LVI). Data were collected through questionnaire surveys of 200 farming households across four villages in the Diffa region of Niger. The LVI was calculated using nine components: sociodemographic profile, education and housing, livelihood strategy, social networks, food, water resources, health, land resources, and disasters and climate variability. Results showed that farmers in Kangarwa were the most vulnerable (LVI = 0.58), while those in Boulangou were the least vulnerable (0.51). Digargo and Mamari had similar vulnerability levels (0.55 and 0.56, respectively). Overall, farmers in all four villages were moderately vulnerable. Kangarwa’s higher vulnerability was mainly associated with social networks (0.81), livelihood strategy (0.75), and land resources (0.75). In Boulangou, low vulnerability was linked to water resources (0.12) and sociodemographic conditions (0.35), although land (0.69), livelihood strategy (0.67), and food (0.65) increased vulnerability. These findings can inform interventions to strengthen smallholder farmers’ resilience. Diversifying livelihoods and adopting climate-smart agriculture technologies could enhance adaptive capacity and reduce vulnerability in highly affected areas.","气候变化影响着农业生产，而撒哈拉以南非洲80%的农村社区依赖农业维持生计。在乍得湖流域，近期水文气候条件的波动已危及作物产量和粮食安全，严重影响小农户的福祉。因此，增强其适应能力和韧性对可持续发展至关重要。本研究采用生计脆弱性指数（LVI）评估乍得湖流域农村地区小农户对气候变化引发的极端天气事件的脆弱性。数据通过对尼日尔迪法地区四个村庄200个农户的问卷调查收集。LVI基于九个组成部分计算：社会人口特征、教育与住房、生计策略、社会网络、粮食、水资源、健康、土地资源以及灾害与气候变异性。结果表明，Kangarwa的农户最为脆弱（LVI = 0.58），而Boulangou的农户脆弱性最低（0.51）。Digargo和Mamari的脆弱性水平相近（分别为0.55和0.56）。总体而言，四个村庄的农户均处于中等脆弱水平。Kangarwa较高的脆弱性主要与社会网络（0.81）、生计策略（0.75）和土地资源（0.75）相关。在Boulangou，低脆弱性与水资源（0.12）和社会人口条件（0.35）相关，尽管土地（0.69）、生计策略（0.67）和粮食（0.65）增加了脆弱性。这些发现可为增强小农户韧性的干预措施提供依据。生计多样化和采用气候智能型农业技术可增强高受影响地区的适应能力并降低脆弱性。","Journal of Experimental Agriculture International","2026-10-14T00:00:00Z",65,{"impact":164,"substance":406,"depth":442,"authority":149,"freshness":21,"relevant":22,"comment":549},"基于200户问卷的LVI实证研究，数据与结论具体，但属区域性学术成果，公共影响有限。",[551],{"name":545,"url":542},[27,224,332,553,554],"气候适应","生计脆弱性",{"code":140,"slug":141,"name":142,"path":143,"parent_code":144},[557],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":559},{"candidates":560,"agricultural_evidence":47},[561,565,569,573,578],{"code":140,"score":442,"supported":47,"title":562,"abstract":563,"tags":564},[333],[332,333],[332,553],{"code":33,"score":222,"supported":47,"title":566,"abstract":567,"tags":568},[52],[224,52],[224],{"code":56,"score":57,"supported":47,"title":570,"abstract":571,"tags":572},[],[27,322],[27],{"code":515,"score":244,"supported":47,"title":574,"abstract":575,"tags":577},[],[576],"水资源",[],{"code":228,"score":244,"supported":47,"title":579,"abstract":580,"tags":581},[],[359],[],[583,584],"尼日尔 乍得湖流域 小农户","生计脆弱性指数 LVI","尼日尔乍得湖流域小农户-4983","10.9734\u002Fjeai\u002F2026\u002Fv48i104567",{"doi":586,"openalex_id":588,"authors":589,"venue":545,"cited_by_count":104,"oa_url":542,"card":600,"direction":382,"ingested_from":111},"W7221748179",[590,592,594,596,598],{"name":591,"orcid":9},"Issiaka Issaharou Matchi",{"name":593,"orcid":9},"I. Oumarou Abdou",{"name":595,"orcid":9},"H. Rabiou",{"name":597,"orcid":9},"A. Mahamane",{"name":599,"orcid":9},"M. Saadou",{"tldr":601,"method":602,"finding":603,"direction":536,"opportunity":604},"用生计脆弱性指数评估尼日尔迪法地区四个村庄小农户的气候变化脆弱性。","问卷调查200户农户，计算含9个成分的生计脆弱性指数（LVI）。","四村农户均呈中度脆弱，Kangarwa最脆弱（0.58），Boulangou最低（0.51）。","可结合气候智能农业技术与生计多样化，在脆弱性高发区开展干预效果评估研究。","2026-10-15T23:30:08.248266Z"]