[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2931":3,"related-2931":66},{"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,"search_phrases":34,"slug":37,"view_count":38,"doi":39,"paper":40,"created_at":65},2931,"UNDERSTANDING THE CONSTRAINTS OF CLIMATE-SMART AGRICULTURE AMONG SMALLHOLDER FARMERS IN SOUTHWESTERN NIGERIA","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832901","Climate-smart agriculture (CSA) has gained increasing attention as an approach for improving agricultural productivity and strengthening the resilience of farming systems to climate variability and change. However, the willingness of farmers to embrace CSA does not necessarily translate into implementation. This study examined the factors influencing the willingness of 190 smallholder farmers in Akinyele Local Government Area of Oyo State, southwestern Nigeria, to implement CSA, the principal constraints to implementation, sources of agricultural information, institutional support and farmers' preferred strategies for strengthening implementation among 190 smallholder farmers in Akinyele Local Government Area of Oyo State, southwestern Nigeria. Data were collected using a structured questionnaire and analysed mainly with frequencies and percentages, while ordered response-scale variables were summarised with appropriate scale-based measures. Cost of implementation was the most frequently identified factor influencing willingness (32.7%), followed by knowledge and information (28.4%) and resources (22.6%). Cost was also the dominant implementation constraint (54.7%), followed by uncertainty about the effectiveness of CSA practices (25.8%) and difficulty learning new techniques (19.5%). Most respondents (94.7%) reported receiving some form of agricultural or institutional support, although financial assistance accounted for only 13.7% of the reported support. Government extension officers were the principal source of agricultural information (55.3%), while government incentives or subsidies were the most preferred strategy for strengthening implementation (50.5%). Demonstration farms and farmer field schools were the most preferred learning approaches (32.6% each). The findings indicate that the central challenge is not simply awareness or willingness but farmers' capacity to convert willingness into practical action. Therefore, strengthening CSA implementation requires coordinated financial, technical, informational, and institutional support rather than awareness creation alone.","气候智慧型农业(CSA)作为提高农业生产力和增强农业系统对气候变率与气候变化适应力的方法，日益受到关注。然而，农民接受气候智慧型农业的意愿并不必然转化为实际实施。本研究考察了尼日利亚西南部奥约州阿基涅莱地方政府区190户小农户实施气候智慧型农业意愿的影响因素、实施的主要制约因素、农业信息来源、制度支持以及农民偏好用于加强实施的策略。数据通过结构化问卷收集，主要以频数和百分比进行分析，有序响应量表变量则采用适当的量表测量指标进行汇总。实施成本是影响意愿最常被提及的因素(32.7%)，其次是知识和信息(28.4%)以及资源(22.6%)。成本也是主要的实施制约因素(54.7%)，其次是对气候智慧型农业实践有效性的不确定性(25.8%)和学习新技术的困难(19.5%)。大多数受访者(94.7%)报告获得了某种形式的农业或制度支持，尽管财政援助仅占所报告支持的13.7%。政府推广人员是农业信息的主要来源(55.3%)，而政府激励或补贴是加强实施最受偏好的策略(50.5%)。示范农场和农民田间学校是最受偏好的学习方式(各占32.6%)。研究结果表明，核心挑战不仅仅是意识或意愿问题，而是农民将意愿转化为实际行动的能力。因此，加强气候智慧型农业的实施需要协调的财政、技术、信息和制度支持，而非仅仅开展意识宣传。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-18T00:00:00Z","论文",25,false,62,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,14,12,10,1,"基于190户小农户问卷的实证研究，揭示气候智慧型农业落地瓶颈在于成本与能力而非意愿，对农业推广信息化有参考价值，但属区域性案例、影响层级有限。",[25,26],{"name":10,"url":6},{"name":10,"url":27},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832902",[29,30,31,32,33],"小农户","气候智慧型农业","农业推广","尼日利亚","农业信息获取",[35,36],"尼日利亚 小农户 气候智慧型农业","Oyo State 农业推广 信息","尼日利亚小农户气候智慧型农业-2931",0,"10.5281\u002Fzenodo.22832901",{"doi":39,"openalex_id":41,"authors":42,"venue":10,"cited_by_count":38,"oa_url":6,"card":57,"direction":63,"ingested_from":64},"W7213579850",[43,45,47,49,51,53,55],{"name":44,"orcid":9},"Folasade J. Odekunle",{"name":46,"orcid":9},"Jechoniah AGABI",{"name":48,"orcid":9},"Adedotun A. Adetunji",{"name":50,"orcid":9},"Omotunde M. KILASHO",{"name":52,"orcid":9},"Idris O. JINADU",{"name":54,"orcid":9},"Gabriel O. Adebayo",{"name":56,"orcid":9},"Adedayo S. Adediran",{"tldr":58,"method":59,"finding":60,"direction":61,"opportunity":62},"研究尼日利亚小农户实施气候智慧农业的意愿、制约因素与支持需求。","对190户小农户问卷调查，用频数和百分比等描述性统计分析。","成本是首要制约，核心挑战在于农户将意愿转化为行动的能力不足。","数字乡村与农业信息化","可探索数字信息服务和金融支持如何协同提升小农户CSA实施能力。","智慧农业 \u002F 农业物联网","openalex","2026-09-19T23:30:11.397222Z",{"total":67,"page":22,"page_size":67,"items":68},6,[69,109,145,172,216,251],{"id":70,"title":71,"url":72,"summary":73,"summary_zh":74,"content":9,"source_name":10,"source_url":72,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":75,"score_detail":76,"sources":81,"tags":85,"search_phrases":88,"slug":91,"view_count":38,"doi":92,"paper":93,"created_at":108},2930,"SMALLHOLDER FARMERS' PERCEPTIONS AND USE OF CLIMATE-SMART AGRICULTURAL PRACTICES IN SOUTHWESTERN NIGERIA","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832942","Climate-smart agriculture (CSA) is increasingly promoted as a means of strengthening the resilience of smallholder farming systems to climate variability. Yet awareness of CSA does not necessarily translate into actual implementation, particularly where farmers face financial, technical and institutional constraints. This study examined the roles of climate experience, agricultural information and socioeconomic characteristics in CSA adoption among smallholder farmers in southwestern Nigeria. Primary data were obtained through a structured cross-sectional survey of 190 farmers in Akinyele Local Government Area of Oyo State. Descriptive statistics were used to characterise respondents and examine CSA awareness, agricultural information, experience of weather variability, willingness to adopt, reported adoption and perceived constraints. Because the adoption outcome was highly imbalanced, Firth-penalised logistic regression was used to identify factors independently associated with actual CSA adoption. The results show that 98.4% of respondents were aware of CSA and 96.3% reported experiencing changes in weather conditions. Although 96.3% expressed willingness to adopt CSA, 88.4% reported actual use, indicating an intention–implementation gap. Water-conservation technologies received the highest proportion of “very important” responses (83.7%), followed by organic manure (80.5%), drought-resistant crops (80.0%) and crop rotation (79.5%). Government extension officers were the principal reported source of agricultural information (55.3%). Implementation cost was the leading constraint (54.7%), followed by uncertainty about effectiveness (25.8%) and difficulty learning new techniques (19.5%). In the Firth model, experience of changing weather conditions was the only statistically significant predictor of adoption (OR = 10.401, 95% CI: 3.118–34.694, p \u003C 0.001). Gender, education, farm size and extension information were not statistically significant. The findings indicate that CSA adoption in the study area is not adequately explained by awareness alone. Farmers’ direct experience of climatic variability appears to be an important stimulus for adaptation, while financial and technical constraints can restrict implementation. Climate adaptation policies should therefore move beyond general awareness creation towards practical extension, affordable inputs, locally relevant climate information and resource-supported implementation.","气候智慧型农业（climate-smart agriculture, CSA）日益被视为增强小农户耕作系统对气候变异性适应能力的手段。然而，对气候智慧型农业的认知并不必然转化为实际实施，尤其是在农户面临资金、技术和制度约束的情况下。本研究考察了气候经验、农业信息和社会经济特征在尼日利亚西南部小农户采用气候智慧型农业中的作用。原始数据通过结构化横断面调查获得，调查对象为奥约州阿基涅莱地方政府辖区的190名农户。采用描述性统计对受访者特征进行刻画，并考察气候智慧型农业认知、农业信息、天气变异性经历、采用意愿、报告采用情况及感知约束。由于采用结果高度不平衡，研究采用Firth惩罚逻辑回归识别与实际采用气候智慧型农业独立相关的因素。结果表明，98.4%的受访者知晓气候智慧型农业，96.3%报告经历了天气状况变化。尽管96.3%表示愿意采用气候智慧型农业，但88.4%报告实际使用，表明存在意愿—实施差距。节水技术获得“非常重要”评价的比例最高（83.7%），其次为有机肥（80.5%）、抗旱作物（80.0%）和轮作（79.5%）。政府推广人员是报告的主要农业信息来源（55.3%）。实施成本是首要约束（54.7%），其次是对有效性的不确定（25.8%）和学习新技术的困难（19.5%）。在Firth模型中，经历天气状况变化是采用行为的唯一具有统计学意义的预测因素（OR = 10.401，95% CI：3.118–34.694，p \u003C 0.001）。性别、教育程度、农场规模和推广信息在统计上不显著。研究结果表明，仅凭认知不足以充分解释研究区域的气候智慧型农业采用情况。农户对气候变异性的直接经历似乎是适应行为的重要刺激因素，而资金和技术约束可能限制实施。因此，气候适应政策应从一般性认知宣传转向实践推广、可负担投入、地方相关气候信息和资源支持下的实施。",65,{"impact":17,"substance":77,"depth":78,"authority":20,"freshness":79,"relevant":22,"comment":80},20,16,9,"基于190户调查的实证研究，揭示气候智慧农业意愿与实施落差，对农业信息化推广有参考价值，但属区域性研究、影响层级有限。",[82,83],{"name":10,"url":72},{"name":10,"url":84},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832941",[29,86,31,32,87],"气候智慧农业","农业信息",[89,90],"尼日利亚 小农户 气候智慧农业","Oyo State 农业推广","尼日利亚小农户气候智慧农业-2930","10.5281\u002Fzenodo.22832942",{"doi":92,"openalex_id":94,"authors":95,"venue":10,"cited_by_count":38,"oa_url":72,"card":103,"direction":63,"ingested_from":64},"W7213578578",[96,97,98,99,100,101],{"name":44,"orcid":9},{"name":48,"orcid":9},{"name":52,"orcid":9},{"name":56,"orcid":9},{"name":54,"orcid":9},{"name":102,"orcid":9},"Akeem Adewole",{"tldr":104,"method":105,"finding":106,"direction":61,"opportunity":107},"研究尼日利亚小农户对气候智慧农业的认知、采用意愿与实际使用及其影响因素。","对奥约州190户农户问卷调查，采用Firth惩罚逻辑回归分析采用因素。","认知与意愿高但实际采用存在落差，天气变化经历是唯一显著预测因素。","可探索农业信息传播与气候经历如何协同促进小农户从意愿到实际采用。","2026-09-19T23:30:11.305594Z",{"id":110,"title":111,"url":112,"summary":113,"summary_zh":114,"content":9,"source_name":115,"source_url":112,"published_at":116,"category":12,"cover_url":9,"hotness":21,"is_selected":14,"score":15,"score_detail":117,"sources":120,"tags":122,"search_phrases":125,"slug":128,"view_count":38,"doi":129,"paper":130,"created_at":144},2032,"Enhancing access and mitigating challenges of agricultural extension services among small-scale farmers in Asa local government area, Kwara state, Nigeria","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1829015","Agricultural extension services are essential for helping small-scale farmers in Nigeria increase productivity and promote sustainable farming; yet structural and institutional barriers limit their utilization. This study examined how small-scale farmers in Asa Local Government Area (LGA), Kwara State access agricultural extension services and the specific challenges they face. A mixed-methods design was employed, combining structured questionnaires administered to 120 randomly selected farmers with qualitative semi-structured interviews analyzed through thematic analysis. Descriptive statistics addressed the study objectives while a regression model tested the hypothesis on socioeconomic determinants of access. Utilization of extension services remains low despite their availability. Farmers rely predominantly on radio, television, and cooperatives for agricultural information. Advisory services and market information were most accessed, while training programs and workshops were least utilized. All reported outcomes, including improved market access and higher productivity, are farmer self-reports and represent perceived rather than objectively measured benefits. Inadequate funding, poor infrastructure, and limited training are the dominant barriers. Educational level and farm size significantly and positively predict access to extension services. Strengthening financial support, improving rural infrastructure, tailoring training programs, and reinforcing cooperative networks are critical for advancing sustainable agricultural development in rural Nigeria.","农业推广服务对于帮助尼日利亚小规模农户提高生产力、促进可持续农业至关重要，然而结构和制度性障碍限制了其利用。本研究考察了夸拉州阿萨地方政府区（LGA）小规模农户如何获取农业推广服务及其面临的具体挑战。研究采用混合方法设计，结合对120名随机抽取农户的结构化问卷调查，以及通过主题分析处理的定性半结构化访谈。描述性统计用于回应研究目标，回归模型用于检验关于获取服务的社会经济决定因素的假设。尽管推广服务存在，其利用率仍然较低。农户主要依赖广播、电视和合作社获取农业信息。咨询服务 and 市场信息获取最多，而培训项目和研讨会利用最少。所有报告的结果，包括市场准入改善和生产力提高，均为农户自我报告，代表感知而非客观测量的收益。资金不足、基础设施薄弱和培训有限是主要障碍。教育水平和农场规模显著且正向预测推广服务的获取。加强财政支持、改善农村基础设施、量身定制培训项目以及强化合作社网络，对于推进尼日利亚农村可持续农业发展至关重要。","Frontiers in Sustainable Food Systems","2026-09-09T00:00:00Z",{"impact":17,"substance":18,"depth":19,"authority":118,"freshness":79,"relevant":22,"comment":119},13,"基于尼日利亚小农户调研的实证研究，揭示推广服务利用率低及教育水平、农场规模等影响因素，对发展中国家农业信息化推广有参考价值，但属区域性个案，公共影响有限。",[121],{"name":115,"url":112},[123,29,31,32,124],"合作社","农村信息化",[126,127],"农村信息化 农业推广 尼日利亚 合作社","农村信息化 农业推广","农村信息化农业推广尼日利亚合作社-2032","10.3389\u002Ffsufs.2026.1829015",{"doi":129,"openalex_id":131,"authors":132,"venue":115,"cited_by_count":38,"oa_url":112,"card":139,"direction":61,"ingested_from":64},"W7212064262",[133,135,137],{"name":134,"orcid":9},"Dolapo Tawakalitu",{"name":136,"orcid":9},"Egbewole Halimah",{"name":138,"orcid":9},"Adesokan Jamiu",{"tldr":140,"method":141,"finding":142,"direction":61,"opportunity":143},"研究尼日利亚小农户获取农业推广服务的现状、障碍及社会经济影响因素。","混合方法：120份问卷+半结构化访谈，描述统计与回归分析。","推广服务利用率低，主要靠广播和合作社；教育程度和农场规模显著正向预测获取。","可探索数字渠道（如手机、广播）替代传统推广，并针对低教育小农户设计适配服务。","2026-09-10T23:30:07.595776Z",{"id":146,"title":147,"url":148,"summary":149,"summary_zh":9,"content":9,"source_name":150,"source_url":148,"published_at":11,"category":12,"cover_url":9,"hotness":21,"is_selected":14,"score":151,"score_detail":152,"sources":155,"tags":157,"search_phrases":160,"slug":163,"view_count":38,"doi":164,"paper":165,"created_at":171},2924,"Climate-Smart Agriculture Package Combinations and Household Food and Nutrition Security among Smallholder Farmers in Southwestern Ethiopia","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-11073051\u002Fv1","Climate-Smart Agriculture Package Combinations and Household Food and Nutrition Security among Smallholder Farmers in Southwestern Ethiopia。Research Square","Research Square",56,{"impact":17,"substance":18,"depth":153,"authority":67,"freshness":79,"relevant":22,"comment":154},15,"研究主题契合气候智慧型农业与小农户粮食安全，但属区域性论文且来源为预印本平台，公共影响与权威性有限，暂不建议进入每日精选。",[156],{"name":150,"url":148},[158,29,30,159],"粮食安全","埃塞俄比亚",[161,162],"埃塞俄比亚 小农户 气候智慧型农业","气候智慧型农业 埃塞俄比亚 粮食安全 小农户","埃塞俄比亚小农户气候智慧型农业-2924","10.21203\u002Frs.3.rs-11073051\u002Fv1",{"doi":164,"openalex_id":166,"authors":167,"venue":150,"cited_by_count":38,"oa_url":148,"card":9,"direction":63,"ingested_from":64},"W7213535845",[168],{"name":169,"orcid":170},"Tesfaye Gafaro Ololo","https:\u002F\u002Forcid.org\u002F0009-0006-7838-5264","2026-09-19T23:30:10.838601Z",{"id":173,"title":174,"url":175,"summary":176,"summary_zh":177,"content":9,"source_name":178,"source_url":175,"published_at":179,"category":12,"cover_url":9,"hotness":21,"is_selected":14,"score":180,"score_detail":181,"sources":185,"tags":187,"search_phrases":191,"slug":194,"view_count":38,"doi":195,"paper":196,"created_at":215},2637,"Determinants of CSA Adoption in Coastal Bangladesh: An Application of Structural Path Analysis","https:\u002F\u002Fdoi.org\u002F10.59978\u002Far04030018","Climate-smart agriculture (CSA) is widely promoted to reconcile productivity, resilience, and emissions goals among smallholder farmers, yet adoption of capital-intensive CSA technologies remains low and uneven in climate-vulnerable coastal agriculture. This study examines socio-demographic, institutional, and behavioral determinants of CSA adoption among farming households in selected coastal districts of Bangladesh. This cross-sectional study interviewed 386 farmers from 3 selected coastal districts of Bangladesh following a multi-stage random sampling. Results were interpreted using descriptive statistics, Spearman’s correlation, adoption-difficulty (quadrant) analysis, and structural path analysis. Adoption levels varied widely across 30 CSA practices. Low-cost, knowledge-based practices such as raised bed homestead gardening, airtight seed storage, and heat and salinity-tolerant crops were widely adopted, whereas capital-intensive technologies such as poly-net houses, solar irrigation, and the sorjan method remained rare. Extension communication showed the strongest association with extension strategies for promoting CSA (β = 0.551), whereas strategies for promoting CSA, knowledge of CSA, and climate change perception were important predictors of CSA adoption. Importantly, the ICT usage had a negative relationship with climate change perception, indicating a digital paradox whereby the higher connectivity does not lead to a better understanding of the issues related to climate change. The research shows that there is a necessity for combined extension approaches based on face-to-face extension efforts, participatory learning platforms, and credible digital technologies combined with strong farmer organizations for increasing CSA adoption in coastal Bangladesh.","气候智慧型农业(CSA)被广泛推广，以期在小农户中协调生产力、韧性与排放目标，但在气候脆弱的沿海农业中，资本密集型CSA技术的采用率仍然较低且不均衡。本研究考察了孟加拉国部分沿海地区农户采用CSA的社会人口、制度与行为决定因素。本横断面研究采用多阶段随机抽样方法，访谈了孟加拉国3个选定沿海地区的386名农民。研究结果通过描述性统计、斯皮尔曼相关分析、采用难度(象限)分析和结构路径分析进行解读。30项CSA实践的采用水平差异很大。低成本、知识型实践，如高垄庭院种植、密封种子储藏以及耐热耐盐作物，被广泛采用；而资本密集型技术，如Poly-net温室、太阳能灌溉和sorjan法，则仍然很少见。推广沟通与促进CSA的推广策略关联最强(β = 0.551)，而促进CSA的策略、CSA知识和气候变化认知是CSA采用的重要预测因素。重要的是，信息通信技术(ICT)使用与气候变化认知呈负相关，表明存在一种数字悖论，即更高的连通性并未带来对气候变化相关问题更好的理解。研究表明，有必要采取综合推广方式，以面对面推广工作、参与式学习平台和可信数字技术为基础，并结合强大的农民组织，以提高孟加拉国沿海地区对CSA的采用。","Agricultural & Rural Studies","2026-09-16T00:00:00Z",73,{"impact":20,"substance":182,"depth":183,"authority":118,"freshness":21,"relevant":22,"comment":184},21,17,"基于386户问卷的结构路径分析，揭示ICT使用与气候变化认知的“数字悖论”，对气候智慧型农业推广与数字乡村建设有实证参考价值。",[186],{"name":178,"url":175},[188,29,189,190,30],"农业信息化","农技推广","数字鸿沟",[192,193],"气候智慧型农业 农业信息化 农技推广 数字鸿沟","气候智慧型农业 农业信息化","气候智慧型农业农业信息化农技推广数字鸿沟-2637","10.59978\u002Far04030018",{"doi":195,"openalex_id":197,"authors":198,"venue":178,"cited_by_count":38,"oa_url":175,"card":210,"direction":63,"ingested_from":64},"W7213241723",[199,202,205,207],{"name":200,"orcid":201},"Md. Sumon Howlader","https:\u002F\u002Forcid.org\u002F0009-0009-8951-3307",{"name":203,"orcid":204},"Md. Mamun-ur-Rashid","https:\u002F\u002Forcid.org\u002F0000-0001-7632-1829",{"name":206,"orcid":9},"Md. Kamrul Hasan",{"name":208,"orcid":209},"Md. Ektear Uddin","https:\u002F\u002Forcid.org\u002F0000-0002-8003-8134",{"tldr":211,"method":212,"finding":213,"direction":61,"opportunity":214},"研究孟加拉沿海农户气候智慧型农业(CSA)采纳的社会、制度与行为决定因素。","386户多阶段随机抽样，用描述统计、Spearman相关、象限分析和结构路径分析","推广沟通影响最强；ICT使用与气候变化认知负相关，存在数字悖论。","可探究ICT使用为何未提升气候认知，检验数字鸿沟、信息质量与信任的中介机制。","2026-09-16T23:30:09.724808Z",{"id":217,"title":218,"url":219,"summary":220,"summary_zh":221,"content":9,"source_name":222,"source_url":219,"published_at":223,"category":12,"cover_url":9,"hotness":21,"is_selected":14,"score":224,"score_detail":225,"sources":228,"tags":230,"search_phrases":233,"slug":236,"view_count":38,"doi":237,"paper":238,"created_at":250},2508,"Food Insecurity: The Hungry Face of Climate Change","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fjbgr.vol.11.no4.2025.pg88.95","Climate change is rapidly reshaping global food systems, intensifying food insecurity across both the Global North and South. Rising temperatures, erratic precipitation, extreme weather events, and land degradation are undermining agricultural productivity and destabilizing food access, particularly among marginalized and low-income populations. This paper examines the complex interplay between climate change and food insecurity, drawing on recent empirical studies and cross-regional data to analyze environmental, economic, and social dimensions. It highlights how climate-related disruptions disproportionately affect women, children, indigenous groups, and smallholder farmers, compounding existing structural inequities. The review evaluates current adaptation and mitigation efforts, including climate-smart agriculture, water resource management, and renewable energy integration. It also assesses policy gaps and proposes a holistic, equity-centered framework that integrates sustainable agriculture, community empowerment, and climate resilience. The study emphasizes the urgency of embedding food security into climate policy at all levels to safeguard livelihoods and promote sustainable development in an era of intensifying climate risk.","气候变化正在迅速重塑全球粮食系统，加剧全球北方和全球南方的粮食不安全。气温上升、降水异常、极端天气事件和土地退化正在削弱农业生产力并破坏粮食获取的稳定性，尤其是对边缘化和低收入群体而言。本文借鉴近期实证研究和跨区域数据，分析环境、经济和社会维度，考察气候变化与粮食不安全之间复杂的相互作用。文章强调，与气候相关的扰动对妇女、儿童、原住民群体和小农的影响尤为不成比例，并加剧了现有的结构性不平等。本文评估了当前的适应和减缓努力，包括气候智慧型农业、水资源管理和可再生能源整合。文章还评估了政策缺口，并提出一个以公平为中心的整体框架，将可持续农业、社区赋权和气候韧性相结合。研究强调，在气候风险日益加剧的时代，将粮食安全纳入各级气候政策以保障生计和促进可持续发展具有紧迫性。","JOURNAL OF BIOLOGY AND GENETIC RESEARCH","2026-09-14T00:00:00Z",78,{"impact":226,"substance":18,"depth":183,"authority":118,"freshness":17,"relevant":22,"comment":227},22,"跨区域综述揭示气候变化对全球粮食安全的系统性冲击，并提出以公平为核心的适应框架，对农业政策与气候韧性建设具参考价值。",[229],{"name":222,"url":219},[158,29,231,30,232],"气候变化","农业适应",[234,235],"气候智慧型农业 农业适应 气候变化 粮食安全","气候智慧型农业 农业适应","气候智慧型农业农业适应气候变化粮食安全-2508","10.56201\u002Fjbgr.vol.11.no4.2025.pg88.95",{"doi":237,"openalex_id":239,"authors":240,"venue":222,"cited_by_count":38,"oa_url":243,"card":244,"direction":63,"ingested_from":64},"W7212575816",[241],{"name":242,"orcid":9},"Ahmed Farida Mohammed","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FJBGR\u002FVOL. 11 NO. 4 2025\u002FFood Insecurity The Hungry 88-95.pdf",{"tldr":245,"method":246,"finding":247,"direction":248,"opportunity":249},"综述气候变化与粮食不安全的复杂关联，提出以公平为中心的综合应对框架。","基于近期实证研究与跨区域数据，分析环境、经济和社会维度。","气候冲击对妇女、儿童、原住民和小农影响尤甚，需将粮食安全嵌入各级气候政策。","农业绿色发展与碳","可量化气候智能农业与水资源管理对弱势群体粮食安全的公平性效益，填补政策评估空白。","2026-09-15T23:30:08.313374Z",{"id":252,"title":253,"url":254,"summary":255,"summary_zh":9,"content":9,"source_name":150,"source_url":254,"published_at":116,"category":12,"cover_url":9,"hotness":21,"is_selected":14,"score":75,"score_detail":256,"sources":258,"tags":260,"search_phrases":264,"slug":267,"view_count":38,"doi":268,"paper":269,"created_at":281},2037,"Spatial Assessment of Biophysical Suitability for Climate-Smart Agriculture across Nigeria","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-10618150\u002Fv1","Spatial Assessment of Biophysical Suitability for Climate-Smart Agriculture across Nigeria。Research Square",{"impact":20,"substance":18,"depth":153,"authority":20,"freshness":17,"relevant":22,"comment":257},"基于空间评估方法识别尼日利亚气候智慧型农业的生物物理适宜性，属农业遥感与气候适应交叉研究，方法有参考价值但区域性强、时效略滞后。",[259],{"name":150,"url":254},[261,262,30,32,263],"智慧农业","遥感","空间评估",[265,266],"气候智慧型农业 尼日利亚 智慧农业 空间评估","气候智慧型农业 尼日利亚","气候智慧型农业尼日利亚智慧农业空间评估-2037","10.21203\u002Frs.3.rs-10618150\u002Fv1",{"doi":268,"openalex_id":270,"authors":271,"venue":150,"cited_by_count":38,"oa_url":254,"card":9,"direction":63,"ingested_from":64},"W7211997027",[272,274,277,279],{"name":273,"orcid":9},"Bimbola Rasheed Bashorun",{"name":275,"orcid":276},"Lanre Tajudeen Ajibade","https:\u002F\u002Forcid.org\u002F0009-0001-1182-8140",{"name":278,"orcid":9},"Toluwalope Mubo Agaja",{"name":280,"orcid":9},"Davies Ojo Ajewole","2026-09-10T23:30:09.109080Z"]