[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2750":3,"related-2750":81},{"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":23,"tags":25,"primary_topic":9,"secondary_topics":31,"classification":32,"search_phrases":55,"slug":58,"view_count":59,"doi":60,"paper":61,"created_at":80},2750,"Return migration, rural–urban linkages and livelihood differentiation in ethnic mountainous villages of Chongqing, China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1879585","Introduction Return migration is reshaping rural livelihoods in ethnic mountainous villages, yet household-level evidence on its implications for livelihood capacity and food access remains limited. Methods Using survey data from 302 households across four ethnic mountainous study sites in Chongqing, China, this study examines livelihood reorganization among return-migrant households through a rural–urban linkage lens. We constructed three composite indicators—basic livelihood conditions (BLC), food access-related livelihood capacity (FAC) and food stability-related livelihood capacity (FSC)—and examined these measures alongside income diversity and household food insecurity outcomes. Results Return-migrant households were concentrated in part-time, non-agriculture-dominant and non-agricultural livelihood types, while pure agricultural and agriculture-dominant types were less common. Their income diversity index, BLC, FAC and FSC were higher than those of non-return households, with values of 1.0434, 0.5758, 0.6006 and 0.6127, respectively, compared with 0.9196, 0.5404, 0.5568 and 0.5717. At the village level, Huaxi and Xinjian showed higher income diversification and livelihood capacity, whereas food insecurity risks were concentrated mainly in Dahekou and Dazhai. In the full sample, the incidence rates of worry about insufficient food and food shortage experience were 4.30% and 2.32%, respectively. Discussion These findings show that return migration does not automatically generate resilient livelihoods. Livelihood diversification was more closely aligned with food access and stability where income sources were stable, rural–urban linkages were maintained, livelihood conditions were stronger and village constraints were less severe.","引言 返乡迁移正在重塑民族山区乡村的生计方式，但关于其对生计能力和食物获取影响的农户层面证据仍然有限。方法 本研究利用中国重庆四个民族山区研究点302户家庭的调查数据，从城乡联系视角考察返乡迁移家庭的生计重组。我们构建了三个综合指标——基本生计条件（BLC）、食物获取相关生计能力（FAC）和食物稳定性相关生计能力（FSC），并将这些指标与收入多样性和家庭食物不安全结果一并考察。结果 返乡迁移家庭集中于兼业型、非农主导型和非农型生计类型，而纯农型和农业主导型较少。其收入多样性指数、BLC、FAC和FSC均高于非返乡家庭，分别为1.0434、0.5758、0.6006和0.6127，而非返乡家庭分别为0.9196、0.5404、0.5568和0.5717。在村庄层面，花溪和新建表现出更高的收入多样化和生计能力，而食物不安全风险主要集中在河口和大寨。在全样本中，担心食物不足和经历食物短缺的发生率分别为4.30%和2.32%。讨论 这些发现表明，返乡迁移并不会自动产生有韧性的生计。在收入来源稳定、城乡联系得以维持、生计条件较强且村庄约束较轻的情况下，生计多样化与食物获取和稳定性的契合更为紧密。",null,"Frontiers in Sustainable Food Systems","2026-09-17T00:00:00Z","论文",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},12,21,17,13,1,"基于重庆民族山区302户调查的实证研究，揭示返乡回流与城乡联结对农户生计分化和食物获取的影响，数据扎实、结论有政策参考价值，但属细分领域学术成果，影响范围有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"粮食安全","城乡融合","农户生计","返乡回流","山区乡村",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"unclassified","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":53,"reason":54},[38,43,48],{"code":39,"score":21,"supported":14,"title":40,"abstract":41,"tags":42},"A8",[],[],[26],{"code":44,"score":21,"supported":14,"title":45,"abstract":46,"tags":47},"G5",[],[],[27],{"code":49,"score":21,"supported":14,"title":50,"abstract":51,"tags":52},"G6",[],[],[28],true,"缺少足够的主题证据",[56,57],"农户生计 城乡融合 山区乡村 粮食安全","农户生计 城乡融合","农户生计城乡融合山区乡村粮食安全-2750",3,"10.3389\u002Ffsufs.2026.1879585",{"doi":60,"openalex_id":62,"authors":63,"venue":10,"cited_by_count":72,"oa_url":6,"card":73,"direction":77,"ingested_from":79},"W7213464742",[64,66,68,70],{"name":65,"orcid":9},"Denghui Xu",{"name":67,"orcid":9},"Chunwang Sun",{"name":69,"orcid":9},"Zhewen Zheng",{"name":71,"orcid":9},"Xianhua Guo",0,{"tldr":74,"method":75,"finding":76,"direction":77,"opportunity":78},"基于重庆民族山区302户调查，分析返乡迁移对农户生计分化与食物获取的影响。","问卷调查与生计复合指标（BLC、FAC、FSC）及收入多样性分析。","返乡户生计多样性与食物获取能力更高，但生计韧性并非自动形成。","数字乡村与农业信息化","可结合数字技术追踪返乡户城乡联系与生计资本，构建食物安全预警模型。","openalex","2026-09-17T23:30:07.231529Z",{"total":82,"page":21,"page_size":82,"items":83},6,[84,147,240,312,366,409],{"id":85,"title":86,"url":87,"summary":88,"summary_zh":89,"content":9,"source_name":10,"source_url":87,"published_at":90,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":91,"score_detail":92,"sources":98,"tags":100,"primary_topic":104,"secondary_topics":110,"classification":111,"search_phrases":129,"slug":132,"view_count":72,"doi":133,"paper":134,"created_at":146},4874,"Estimating the level of rural household resilience to food insecurity: evidence from Rushinga Rural District in northern Zimbabwe","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1875364","Introduction Rural households in semi-arid Zimbabwe face recurrent food insecurity because their livelihoods depend heavily on climate-sensitive agriculture, limited assets, and weak rural service systems. However, household-level evidence on the dimensions that construct resilience to food insecurity in Southern Africa remains limited. The study estimates multidimensional rural household resilience to food insecurity in Rushinga District, Zimbabwe; identifies the relative contributions of eight livelihood-related resilience dimensions; and examines resilience patterns by livelihood orientation and household headship, using cross-sectional survey data from 300 households collected across three wards. Methods The study applied a two-stage procedure informed by the multidimensional structure of the FAO-RIMA-II framework. In the first stage, observable household indicators were grouped a priori into eight theoretically informed resilience dimensions, such as assets, income and food access, social protection, access to basic services, access to natural resources, adaptive capacity, support services, and stability. PCA was used within each dimension to reduce the observed indicators into dimension-level component scores. In the second stage, the retained dimension scores were entered into a factor analysis to examine their joint structure and construct the multidimensional household resilience index. Results The second-order factor analysis retained three factors explaining 59.28% of the variance, with comparatively high absolute loadings for income and food access (0.891), assets (0.793), adaptive capacity (-0.777), stability (0.783), basic services (0.623) and support services (0.813). Access to natural resources did not load strongly on the retained factors, indicating a comparatively weaker contribution within the estimated multidimensional structure. Non-farming households recorded a higher mean resilience score relative to farming households, while female-headed households recorded a lower mean resilience score compared to male-headed households. Conclusion The findings suggest that strengthening rural resilience to food insecurity in Zimbabwe may require a policy approach that supports productive assets, non-farm livelihood diversification, access to basic services, and gender-responsive support systems, alongside agricultural interventions.","引言 津巴布韦半干旱地区的农村家庭面临反复出现的粮食不安全问题，因为其生计高度依赖对气候敏感的农业、资产有限且农村服务体系薄弱。然而，关于南部非洲粮食不安全复原力构成维度的家庭层面证据仍然有限。本研究利用在三个选区收集的300户家庭的横截面调查数据，评估津巴布韦Rushinga区农村家庭多维粮食不安全复原力；识别八个与生计相关的复原力维度的相对贡献；并按生计取向和户主性别考察复原力模式。方法 本研究采用基于FAO-RIMA-II框架多维结构的两阶段程序。第一阶段，将可观测的家庭指标先验地归入八个具有理论依据的复原力维度，如资产、收入与食物获取、社会保护、基本服务获取、自然资源获取、适应能力、支持服务和稳定性。在每个维度内使用PCA将观测指标降维为维度层面的成分得分。第二阶段，将保留的维度得分纳入因子分析，以考察其联合结构并构建多维家庭复原力指数。结果 二阶因子分析保留了三个因子，解释了59.28%的方差，其中收入与食物获取（0.891）、资产（0.793）、适应能力（-0.777）、稳定性（0.783）、基本服务（0.623）和支持服务（0.813）的绝对载荷相对较高。自然资源获取在保留因子上的载荷不强，表明其在所估计的多维结构中贡献相对较弱。非农业家庭的平均复原力得分高于农业家庭，而女性户主家庭的平均复原力得分低于男性户主家庭。结论 研究结果表明，加强津巴布韦农村粮食不安全复原力可能需要一种政策路径，在农业干预措施之外，支持生产性资产、非农生计多样化、基本服务获取和性别响应型支持体系。","2026-10-13T00:00:00Z",66,{"impact":93,"substance":94,"depth":95,"authority":20,"freshness":96,"relevant":21,"comment":97},8,20,16,9,"基于FAO-RIMA-II框架的300户实证研究，方法规范、结论具体，但属津巴布韦地方性案例，对国内三农信息化参考价值有限，可作国际比较素材。",[99],{"name":10,"url":87},[26,101,28,102,103],"非农就业","农村抗逆力","性别差异",{"code":105,"slug":106,"name":107,"path":108,"parent_code":109},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":112,"locked":14,"version":34,"method":35,"evidence":113},"classified",{"candidates":114,"agricultural_evidence":53},[115,120,125],{"code":105,"score":59,"supported":53,"title":116,"abstract":117,"tags":119},[],[118],"干旱",[],{"code":49,"score":121,"supported":14,"title":122,"abstract":123,"tags":124},2,[],[],[28,101],{"code":39,"score":21,"supported":14,"title":126,"abstract":127,"tags":128},[],[],[26],[130,131],"津巴布韦 Rushinga 农户抗逆力","FAO-RIMA-II 粮食安全","津巴布韦Rushinga农户抗逆力-4874","10.3389\u002Ffsufs.2026.1875364",{"doi":133,"openalex_id":135,"authors":136,"venue":10,"cited_by_count":72,"oa_url":87,"card":141,"direction":77,"ingested_from":79},"W7221657887",[137,139],{"name":138,"orcid":9},"Onismo Muzah",{"name":140,"orcid":9},"Tafadzwa Mabhaudhi",{"tldr":142,"method":143,"finding":144,"direction":77,"opportunity":145},"基于津巴布韦300户调查，用FAO-RIMA-II框架估算农村家庭粮食不安全恢复力指数。","两阶段法：各维度内PCA降维，再对维度得分做二阶因子分析构建综合指数。","收入与食物获取、资产、支持服务贡献最大；非农家庭恢复力更高，女性户主家庭更低。","可将恢复力指数与农户数字服务可及性、移动支付等信息化指标结合，检验数字赋能对恢复力的调节作用。","2026-10-14T23:30:07.234699Z",{"id":148,"title":149,"url":150,"summary":151,"summary_zh":152,"content":9,"source_name":153,"source_url":150,"published_at":154,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":155,"score_detail":156,"sources":158,"tags":160,"primary_topic":164,"secondary_topics":170,"classification":171,"search_phrases":209,"slug":212,"view_count":21,"doi":213,"paper":214,"created_at":239},2417,"Climate-smart but economically vulnerable: livelihood strategy choices among millet-producing households in Central Tanzania","https:\u002F\u002Fdoi.org\u002F10.1080\u002F14735903.2026.2728319","The irony of climate-smart agriculture is particularly evident in central Tanzania, where farmers cultivating millet, a crop promoted as climate change solutions, face the most difficult livelihood choices. This study examines the livelihood strategies of millet farmers in the Manyoni and Bahi districts of central Tanzania, including the factors influencing these choices. A triangulated clustering analysis based on the activity approach classified the 417 farming households into five distinct clusters, where income levels, commercialization indices, and food security scores were compared. A multinomial logit model examined the drivers of livelihood strategy choices. The results identify five distinct livelihood strategies, with the majority of farmers engaging in multiple economic activities, such as off-farm activities, livestock keeping, and cultivating commercial crops. Cluster 1 represents 28% of households, with the highest income, food security, and market participation, primarily due to finger millet cultivation. In contrast, Cluster 4, comprising farmers who grow only pearl millet, is the poorest, with low income and limited market participation. The key drivers of cluster choices included education, age, extension services, and geographical location. Findings highlight that livelihood strategies among millet-producing households yield distinct welfare outcomes; thus, policies and interventions should prioritize livelihood combinations that result in improved food security and economic resilience.","气候智能型农业的讽刺之处在坦桑尼亚中部尤为明显：种植小米——一种被宣传为气候变化解决方案的作物——的农民却面临着最艰难的生计选择。本研究考察了坦桑尼亚中部马尼奥尼区和巴希区小米种植户的生计策略，包括影响这些选择的因素。基于活动方法的三角聚类分析将417个农户划分为五个不同的集群，并对收入水平、商业化指数和粮食安全得分进行了比较。多项Logit模型检验了生计策略选择的驱动因素。结果识别出五种不同的生计策略，大多数农民从事多种经济活动，如非农活动、畜牧养殖和种植经济作物。集群1占农户的28%，拥有最高的收入、粮食安全和市场参与度，主要归因于指状粟的种植。相比之下，集群4由仅种植珍珠粟的农民组成，是最贫困的群体，收入低且市场参与有限。集群选择的关键驱动因素包括教育、年龄、推广服务和地理位置。研究结果表明，小米种植户的生计策略产生了不同的福利结果；因此，政策和干预措施应优先考虑能够改善粮食安全和经济韧性的生计组合。","International Journal of Agricultural Sustainability","2026-09-11T00:00:00Z",72,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":96,"relevant":21,"comment":157},"基于417户聚类与多项Logit模型的实证研究，揭示气候智慧型作物种植户的生计分化与福利差异，对同类地区政策设计有参考价值，但属区域性研究，公共影响有限。",[159],{"name":153,"url":150},[26,161,162,163,28],"气候智慧农业","小农户增收","小米种植",{"code":165,"slug":166,"name":167,"path":168,"parent_code":169},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",[],{"status":112,"locked":14,"version":34,"method":35,"evidence":172},{"candidates":173,"agricultural_evidence":53},[174,180,186,192,199,205],{"code":165,"score":175,"supported":53,"title":176,"abstract":178,"tags":179},11,[177],"millet",[177],[],{"code":39,"score":181,"supported":53,"title":182,"abstract":183,"tags":185},7,[],[26,184],"food security",[26],{"code":105,"score":181,"supported":53,"title":187,"abstract":188,"tags":191},[],[189,190],"气候变化","climate change",[161],{"code":193,"score":82,"supported":53,"title":194,"abstract":195,"tags":198},"C",[],[196,197],"畜牧","livestock",[],{"code":200,"score":59,"supported":53,"title":201,"abstract":202,"tags":204},"I1",[],[203],"smart agriculture",[],{"code":49,"score":21,"supported":14,"title":206,"abstract":207,"tags":208},[],[],[28],[210,211],"气候智慧农业 小农户增收 农户生计 小米种植","气候智慧农业 小农户增收","气候智慧农业小农户增收农户生计小米种植-2417","10.1080\u002F14735903.2026.2728319",{"doi":213,"openalex_id":215,"authors":216,"venue":153,"cited_by_count":72,"oa_url":150,"card":233,"direction":238,"ingested_from":79},"W7212316876",[217,219,222,225,228,230],{"name":218,"orcid":9},"Prisca E. Kimaro",{"name":220,"orcid":221},"Niloofar Khalili","https:\u002F\u002Forcid.org\u002F0000-0002-9079-518X",{"name":223,"orcid":224},"Constance Rybak","https:\u002F\u002Forcid.org\u002F0000-0002-7581-8021",{"name":226,"orcid":227},"Stefan Sieber","https:\u002F\u002Forcid.org\u002F0000-0002-4849-7277",{"name":229,"orcid":9},"Daniel Ndyetabula",{"name":231,"orcid":232},"Dagmar Mithöfer","https:\u002F\u002Forcid.org\u002F0000-0002-9347-682X",{"tldr":234,"method":235,"finding":236,"direction":77,"opportunity":237},"研究坦桑尼亚中部小米种植户的生计策略选择及其影响因素。","对417户聚类分析，并用多项Logit模型分析生计策略驱动因素。","多数农户采取多种经营活动，仅种珍珠粟的农户最贫困，教育、年龄、推广服务和地理位置是关键驱动因素。","可探索数字推广服务如何帮助气候智慧型作物种植户优化生计组合、提升经济韧性。","智慧农业 \u002F 农业物联网","2026-09-14T23:30:11.425655Z",{"id":241,"title":242,"url":243,"summary":244,"summary_zh":245,"content":9,"source_name":246,"source_url":243,"published_at":247,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":248,"score_detail":249,"sources":253,"tags":255,"primary_topic":260,"secondary_topics":266,"classification":267,"search_phrases":294,"slug":297,"view_count":72,"doi":298,"paper":299,"created_at":311},5588,"Certified Temporal Fusion of Artificial Intelligence Climate Analytics for Crop Failure Early Warning Under Sparse Agricultural Sensors: Error Bounds and Famine Relief Targeting","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23545489","Sparse agricultural sensor networks across sub-Saharan Africa leave crop-failure early-warning systems with too little ground observation to support reliable famine relief targeting. The framework treats sensor sparsity as a missing-data problem with a known observation operator and propagates climate-analytics uncertainty through a temporal Kalman-Buys filter whose gain is constrained by a certified risk envelope. Using NASA POWER monthly reanalysis for Accra, Ghana (2000-2023, 312 observations), the analysis establishes a mean temperature of 26.521 C and a warming trend of 0.1622 C per decade, which calibrates the climate-analytics prior. The derived bounds show that relief-targeting error scales with the square root of sensor density and with the Lipschitz constant of the crop-response function, yielding an explicit sensor-placement rule for a target misclassification rate. The contribution is a certified, assumption-explicit bridge between climate analytics and famine relief targeting that states the conditions under which early warning is trustworthy.","撒哈拉以南非洲稀疏的农业传感器网络使得作物歉收预警系统缺乏足够的地面观测数据，难以支撑可靠的饥荒救援目标定位。该框架将传感器稀疏性视为具有已知观测算子的缺失数据问题，并通过时间Kalman-Buys滤波器传播气候分析不确定性，该滤波器的增益受经认证的风险包络约束。利用NASA POWER对加纳阿克拉的月度再分析数据（2000—2023年，312个观测值），分析确定了平均气温为26.521°C、每十年0.1622°C的增暖趋势，据此校准了气候分析先验。推导出的界限表明，救援目标定位误差随传感器密度的平方根以及作物响应函数的Lipschitz常数缩放，从而为目标误分类率给出了明确的传感器布设规则。该研究的贡献在于构建了一个经认证的、假设明确的气候分析与饥荒救援目标定位之间的桥梁，阐明了早期预警可信赖的条件。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z",74,{"impact":17,"substance":250,"depth":251,"authority":17,"freshness":13,"relevant":21,"comment":252},22,18,"该研究提出一种带误差界认证的时序融合方法，用于稀疏传感器条件下的作物歉收预警与饥荒救援瞄准，方法新颖、结论明确，但案例局限于加纳阿克拉，产业影响有限，适合作为技术前沿条目收录。",[254],{"name":246,"url":243},[256,257,26,258,259],"智慧农业","农业人工智能","遥感","气候分析",{"code":261,"slug":262,"name":263,"path":264,"parent_code":265},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[],{"status":112,"locked":14,"version":34,"method":35,"evidence":268},{"candidates":269,"agricultural_evidence":53},[270,275,281,285,289],{"code":261,"score":96,"supported":53,"title":271,"abstract":273,"tags":274},[272],"artificial 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