[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4336":3,"related-4336":110},{"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":74,"slug":77,"view_count":78,"doi":79,"paper":80,"created_at":109},4336,"Evaluación de las propiedades del suelo bajo prácticas de agricultura climáticamente inteligente","https:\u002F\u002Fdoi.org\u002F10.29312\u002Fremexca.v17i6.4153","Soil is an essential and strategic resource for the sustainability of agricultural production on the planet; however, it faces progressive degradation derived from unsustainable management practices and the effects of climate change. Within this context, climate-smart agriculture emerges as an approach to try to increase productivity by strengthening the resilience of agricultural systems. The research aimed to evaluate the physical and chemical properties of the soil at two sites: 1) where an agropastoral system has been implemented as a CSA practice; and 2) where unsustainable agricultural techniques have been maintained. Soil sampling followed NOM-021-SEMARNAT-2000, dividing the soil into six 25 m2 plots, from which characteristics such as soil texture, structure, pH, real and bulk density, porosity, organic matter, total carbonates, and hydraulic conductivity were determined. It was concluded that implementing climate-smart agriculture practices through agropastoral systems improves soil physical properties early, with increases of 1% in organic matter and 1.64% in new pore space; by contrast, changes in chemical properties require longer time scales. These results highlight the potential of climate-smart agriculture as a viable strategy for the restoration and sustainable management of agricultural soils in arid and semiarid regions of Mexico.","土壤是维持地球农业生产可持续性的重要战略资源；然而，由于不可持续的管理实践和气候变化的影响，土壤正面临逐步退化。在此背景下，气候智慧型农业（climate-smart agriculture）作为一种试图通过增强农业系统韧性来提高生产力的方法应运而生。本研究旨在评估两个样地的土壤物理和化学性质：1）已实施农牧系统作为气候智慧型农业实践的样地；2）仍维持不可持续农业技术的样地。土壤采样遵循NOM-021-SEMARNAT-2000标准，将土壤划分为六个25 m²的样方，测定了土壤质地、结构、pH、真密度和容重、孔隙度、有机质、总碳酸盐以及导水率等特征。研究得出结论：通过农牧系统实施气候智慧型农业实践可在早期改善土壤物理性质，有机质增加1%，新孔隙空间增加1.64%；相比之下，化学性质的改变则需要更长的时间尺度。这些结果凸显了气候智慧型农业作为墨西哥干旱和半干旱地区农业土壤恢复与可持续管理可行策略的潜力。",null,"Revista Mexicana de Ciencias Agrícolas","2026-10-07T00:00:00Z","论文",10,false,72,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,21,17,13,9,1,"墨西哥核心期刊论文，以农牧复合系统为气候智慧型农业实践，实测土壤理化性质改善，对旱区农业土壤管理有参考价值，但属区域性研究，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"气候智慧型农业","土壤健康","农牧复合系统","有机质提升","旱区农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":46},[45,53,61,68],{"code":33,"score":13,"supported":46,"title":47,"abstract":48,"tags":52},true,[],[49,50,51],"气候变化","干旱","climate change",[27],{"code":54,"score":55,"supported":46,"title":56,"abstract":57,"tags":60},"H2",7,[],[58,59],"土壤","soil",[28],{"code":62,"score":63,"supported":46,"title":64,"abstract":65,"tags":67},"H8",3,[],[66],"可持续农业",[],{"code":69,"score":63,"supported":46,"title":70,"abstract":71,"tags":73},"I1",[],[72],"smart agriculture",[],[75,76],"气候智慧型农业 土壤性质 墨西哥","农牧复合系统 土壤有机质","气候智慧型农业土壤性质墨西哥-4336",2,"10.29312\u002Fremexca.v17i6.4153",{"doi":79,"openalex_id":81,"authors":82,"venue":10,"cited_by_count":100,"oa_url":6,"card":101,"direction":107,"ingested_from":108},"W7220668126",[83,86,89,91,94,97],{"name":84,"orcid":85},"Laura Sánchez‐Castillo","https:\u002F\u002Forcid.org\u002F0000-0002-1028-2449",{"name":87,"orcid":88},"Edmar Meléndez-Jaramillo","https:\u002F\u002Forcid.org\u002F0000-0001-9054-2572",{"name":90,"orcid":9},"Marisol Delgado-González",{"name":92,"orcid":93},"Daniel López-Aguirre","https:\u002F\u002Forcid.org\u002F0000-0003-4128-7207",{"name":95,"orcid":96},"Héctor Rodríguez-Morán","https:\u002F\u002Forcid.org\u002F0009-0009-2852-7967",{"name":98,"orcid":99},"María del Pilar Herrera-Mendoza","https:\u002F\u002Forcid.org\u002F0009-0001-3894-5232",0,{"tldr":102,"method":103,"finding":104,"direction":105,"opportunity":106},"评估气候智慧型农业下农牧系统对土壤物理化学性质的影响。","对比农牧系统与不可持续耕作，按NOM-021采样测土壤理化性质。","农牧系统早期改善土壤物理性质，有机质增1%、孔隙增1.64%，化学性质需更长时间。","农业绿色发展与碳","可研究气候智慧型农业长期固碳与土壤化学改良的时序阈值及区域适配性。","智慧农业 \u002F 农业物联网","openalex","2026-10-07T23:30:08.401836Z",{"total":111,"page":22,"page_size":111,"items":112},6,[113,171,230,308,371,466],{"id":114,"title":115,"url":116,"summary":117,"summary_zh":9,"content":9,"source_name":118,"source_url":116,"published_at":119,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":120,"score_detail":121,"sources":126,"tags":128,"primary_topic":132,"secondary_topics":133,"classification":134,"search_phrases":146,"slug":149,"view_count":78,"doi":150,"paper":151,"created_at":170},4661,"Assessing climate change perceptions and climate-smart agriculture adoption among root, tuber and banana farmers in Eastern D.R. Congo","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs43621-026-04967-z","Assessing climate change perceptions and climate-smart agriculture adoption among root, tuber and banana farmers in Eastern D.R. Congo。Discover Sustainability","Discover Sustainability","2026-10-10T00:00:00Z",63,{"impact":122,"substance":123,"depth":124,"authority":20,"freshness":21,"relevant":22,"comment":125},8,18,15,"基于农户调查的实证研究，揭示刚果（金）东部块根与香蕉种植户的气候变化感知及气候智慧型农业采纳情况，对热带农业气候适应有参考价值，但地域性强、公共影响有限。",[127],{"name":118,"url":116},[49,27,129,130,131],"块根作物","香蕉种植","刚果",{"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":46},[137,141],{"code":33,"score":20,"supported":46,"title":138,"abstract":139,"tags":140},[51],[51],[49,27],{"code":69,"score":142,"supported":46,"title":143,"abstract":144,"tags":145},11,[72],[72],[],[147,148],"刚果 气候智慧型农业 农户","块根作物 香蕉 气候变化适应","刚果气候智慧型农业农户-4661","10.1007\u002Fs43621-026-04967-z",{"doi":150,"openalex_id":152,"authors":153,"venue":118,"cited_by_count":100,"oa_url":116,"card":9,"direction":107,"ingested_from":108},"W7221343165",[154,157,160,163,166,168],{"name":155,"orcid":156},"Jacques B. Kihye","https:\u002F\u002Forcid.org\u002F0009-0006-2184-4001",{"name":158,"orcid":159},"Jean Mubalama Mondo","https:\u002F\u002Forcid.org\u002F0000-0001-7197-6551",{"name":161,"orcid":162},"Géant Basimine Chuma","https:\u002F\u002Forcid.org\u002F0000-0002-9023-2395",{"name":164,"orcid":165},"Gilbert Mubalama Mugisho","https:\u002F\u002Forcid.org\u002F0000-0003-3221-9931",{"name":167,"orcid":9},"J. G. Majaliwa",{"name":169,"orcid":9},"Katcho Karume","2026-10-11T23:30:07.955045Z",{"id":172,"title":173,"url":174,"summary":175,"summary_zh":176,"content":9,"source_name":118,"source_url":174,"published_at":177,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":178,"sources":180,"tags":182,"primary_topic":187,"secondary_topics":188,"classification":189,"search_phrases":207,"slug":210,"view_count":100,"doi":211,"paper":212,"created_at":229},4341,"Analysis of institutional governance for the development of climate-smart agriculture in Sistan and Baluchestan Province, Iran","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs43621-026-04886-z","The present study aimed to analyze the role of institutional governance in developing climate-smart agriculture (CSA) in Sistan and Baluchestan Province, Iran. Given the intensification of challenges caused by climate change and weaknesses in institutional coordination, the successful implementation of CSA policies requires identifying key actors and assessing the quality of their relationships. The research was an applied study conducted using a descriptive-analytical method. Through direct observation and unstructured interviews with experts and key informants (32 individuals), 48 institutions and active associations related to CSA were identified in the province, and their links and interactions were analyzed using social network analysis (SNA). The results indicated that institutional coherence was at a moderate to relatively high level across four networks: agricultural productivity improvement, adaptation to climate change, greenhouse gas mitigation, and CSA. Furthermore, the Agricultural Jihad Organization (AJO), the Governor’s Office (Provincial Government) (GO), the General Directorate of Natural Resources and Watershed Management (NRWM), the Chamber of Commerce, Industries, Mines, and Agriculture (CCIMA), and the General Directorate of Environmental Protection (EP) were identified as the key actors with the highest centrality and social influence. The findings suggest that effective CSA development governance requires strengthening horizontal and vertical connections among governmental, scientific, financial, and civil institutions to prevent duplication and improve synergy in policymaking and the implementation of adaptive programs. By emphasizing institutional analysis, this research provides a framework for better understanding climate-based governance networks, which can be applied to other regions with similar conditions.","本研究旨在分析制度治理在伊朗锡斯坦-俾路支斯坦省发展气候智慧型农业（CSA）中的作用。鉴于气候变化带来的挑战日益加剧以及制度协调方面的薄弱，CSA政策的成功实施需要识别关键行动者并评估其关系质量。本研究是一项应用型研究，采用描述性分析方法开展。通过直接观察以及对专家和关键知情者（32人）的非结构化访谈，识别出该省与CSA相关的48个机构和活跃协会，并运用社会网络分析（SNA）对其联系与互动进行了分析。结果表明，在农业生产力提升、气候变化适应、温室气体减排和CSA四个网络中，制度一致性处于中等至相对较高水平。此外，农业圣战组织（AJO）、省长办公室（省政府）（GO）、自然资源与流域管理总局（NRWM）、工商矿农业商会（CCIMA）以及环境保护总局（EP）被确定为具有最高中心性和社会影响力的关键行动者。研究结果表明，有效的CSA发展治理需要加强政府、科学、金融和民间机构之间的横向与纵向联系，以防止政策制定和适应性项目实施中的重复并提升协同效应。通过强调制度分析，本研究为更好地理解基于气候的治理网络提供了框架，该框架可应用于其他具有类似条件的地区。","2026-10-06T00:00:00Z",{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":179},"以社会网络分析量化伊朗省级气候智慧型农业机构治理网络，方法规范、结论有借鉴意义，但属区域案例研究，公共影响有限。",[181],{"name":118,"url":174},[183,184,27,185,186],"社会网络分析","气候适应","农业治理","伊朗农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":190},{"candidates":191,"agricultural_evidence":46},[192,196,200],{"code":69,"score":142,"supported":46,"title":193,"abstract":194,"tags":195},[72],[72],[],{"code":33,"score":122,"supported":46,"title":197,"abstract":198,"tags":199},[],[49,51],[27,184],{"code":201,"score":111,"supported":46,"title":202,"abstract":203,"tags":206},"B7",[],[204,205],"温室","greenhouse",[],[208,209],"Sistan Baluchestan 气候智慧型农业","伊朗 农业机构治理 社会网络分析","SistanBaluchestan气候智慧型农业-4341","10.1007\u002Fs43621-026-04886-z",{"doi":211,"openalex_id":213,"authors":214,"venue":118,"cited_by_count":100,"oa_url":174,"card":223,"direction":107,"ingested_from":108},"W7220668983",[215,218,221],{"name":216,"orcid":217},"Hamid Karimi","https:\u002F\u002Forcid.org\u002F0000-0002-6199-100X",{"name":219,"orcid":220},"Pouria Ataei","https:\u002F\u002Forcid.org\u002F0000-0002-5174-3272",{"name":222,"orcid":9},"Jaber Pariab",{"tldr":224,"method":225,"finding":226,"direction":227,"opportunity":228},"分析伊朗锡斯坦-俾路支斯坦省气候智慧型农业的制度治理网络与关键主体。","对32位专家访谈，识别48个机构，用社会网络分析其关联互动。","制度一致性中等偏高，农业圣战组织等五机构为核心主体，需强化纵横联结。","数字乡村与农业信息化","可将社会网络分析用于农业气候治理，结合数字平台量化机构协同与政策落地效果。","2026-10-07T23:30:08.882170Z",{"id":231,"title":232,"url":233,"summary":234,"summary_zh":235,"content":9,"source_name":236,"source_url":233,"published_at":237,"category":12,"cover_url":9,"hotness":238,"is_selected":14,"score":239,"score_detail":240,"sources":244,"tags":248,"primary_topic":253,"secondary_topics":254,"classification":255,"search_phrases":285,"slug":288,"view_count":78,"doi":289,"paper":290,"created_at":307},3880,"DETERMINANTS DE L'ADOPTION DES PRATIQUES ENDOGENES CLIMATO-INTELLIGENTES PAR LES MENAGES AGRICOLES A DJIDJA, AU SUD-BENIN","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23066853","Résumé Le secteur agricole béninois, bien que moteur de l'économie, est fragilisé par une forte variabilité climatique perçue par 97,6 % des producteurs de la commune de Djidja. Dans ce contexte, l’adoption des Pratiques Endogènes Climato-Intelligentes (PECI) apparaît comme une solution de résilience incontournable. Cette recherche vise à identifier les facteurs socio-économiques et institutionnels qui conditionnent l'adoption de ces pratiques. Dans cette étude, une approche mixte qui combine des variables qualitatives et quantitatives a été adoptée pour évaluer les effets des PECI sur la capacité d'adaptation et la sécurité alimentaire des ménages agricoles. Les collectes ont été faites dans quatre arrondissements de la commune de Djidja. Il s’agit de Setto, Mougnon, Djidja-centre et Monsourou. Prenant en compte les facteurs tels que la géographie et le nombre élevé de ménage agricole dans ces villages. L'étude s'appuie sur un échantillon de 123 ménages, obtenu grâce à la formule de Schwartz. La population est majoritairement sans instruction formelle (58,5 %) et disposant de revenus modestes (52,8 % gagnent moins de 500 000 FCFA\u002Fan). Un modèle de régression linéaire multiple a été utilisé pour tester l'influence de six variables clés sur le score d'adoption des PECI. Les résultats du modèle (R²=0,112 ; F=2,446 ; p=0,029) indiquent que l’adoption ne dépend pas des caractéristiques sociodémographiques classiques : le sexe (p=0,794), le niveau d’éducation (p=0,679), l’âge (p=0,110) et la superficie exploitée (p=0,419) n'ont aucun effet significatif. En revanche, l’expérience agricole (B=0,690 ; p=0,007) et l’accès à l’encadrement et à l’information agricole et météorologique (B=1,104 ; p=0,014) sont les déterminants majeurs et positifs. Cela démontre que l’appropriation des PECI à Djidja repose sur l’apprentissage empirique et la qualité du conseil agricole de proximité plutôt que sur le capital foncier ou l'instruction scolaire. L'étude conclut sur la nécessité de renforcer les dispositifs de vulgarisation et de favoriser les groupements d’agriculteurs (13 %) pour massifier la transition vers une agriculture climato-intelligente. Mots-clés : Changement climatique, PECI, Déterminants de l’adoption des PECI, Djidja, Bénin Abstract Benin’s agricultural sector, although a driving force of the economy, is weakened by significant climate variability, as reported by 97.6% of farmers in the municipality of Djidja. In this context, the adoption of Climate-Smart Local Practices (CSLP) appears to be an essential solution for building resilience. This research aims to identify the socioeconomic and institutional factors that influence the adoption of these practices. In this study, a mixed-methods approach combining qualitative and quantitative variables was adopted to assess the effects of Endogenous Climate-Smart Practices (ECSPs) on the adaptive capacity and food security of farming households. Data were collected in four arrondissements of the commune of Djidja: Setto, Mougnon, Djidja-Centre, and Monsourou. These areas were selected based on geographical considerations and the high number of farming households in the selected villages. The study was conducted with a sample of 123 farming households, determined using the Schwartz formula. The majority of whom have no formal education (58.5%) and modest incomes (52.8% earn less than 500,000 CFA francs per year). A multiple linear regression model was used to test the influence of six key variables on the PECI adoption score. The model results (R² = 0.112; F = 2.446; p = 0.029) indicate that adoption does not depend on traditional sociodemographic characteristics: gender (p = 0.794), education level (p = 0.679), age (p = 0.110), and farm size (p = 0.419) have no significant effect. In contrast, agricultural experience (B=0.690; p=0.007) and access to technical guidance and agricultural information (B=1.104; p=0.014) are the major positive determinants. This demonstrates that the adoption of CSLPs in Djidja is based on empirical learning and the quality of local agricultural extension services rather than on land ownership or educational attainment. The study concludes that it is necessary to strengthen extension services and support farmers’ groups (13 %) to scale up the transition to climate-smart agriculture. Keywords: Climate change, CSLP, Determinants of CSLP adoption, Djidja, Benin","摘要 贝宁的农业部门虽然是经济的驱动力，却因97.6%的迪吉贾（Djidja）镇生产者所感受到的强烈气候变异性而变得脆弱。在此背景下，采用气候智能型本土实践（PECI）似乎成为不可或缺的韧性解决方案。本研究旨在识别制约这些实践采用的社会经济与制度因素。本研究采用定性与定量变量相结合的混合方法，评估PECI对农户适应能力和粮食安全的影响。数据采集在迪吉贾镇的四个区进行，即塞托（Setto）、穆尼翁（Mougnon）、迪吉贾中心（Djidja-centre）和蒙苏鲁（Monsourou），选取时考虑了地理因素以及这些村庄农户数量较多的情况。研究基于123户样本，通过Schwartz公式获得。该人群大多未接受正规教育（58.5%），收入微薄（52.8%年收入低于500 000非洲法郎）。采用多元线性回归模型检验六个关键变量对PECI采用得分的影响。模型结果（R²=0.112；F=2.446；p=0.029）表明，采用并不取决于传统的社会人口学特征：性别（p=0.794）、教育水平（p=0.679）、年龄（p=0.110）和经营面积（p=0.419）均无显著影响。相反，农业经验（B=0.690；p=0.007）以及获得农业与气象指导及信息的机会（B=1.104；p=0.014）是主要且正向的决定因素。这表明，迪吉贾对PECI的掌握依赖于经验学习和就近农业咨询的质量，而非土地资本或学校教育。研究结论指出，有必要加强推广机制并促进农民组织（13%），以大规模推进向气候智能型农业的转型。关键词：气候变化，PECI，PECI采用的决定因素，迪吉贾，贝宁 摘要 贝宁的农业部门虽然是经济的驱动力，却因迪吉贾镇97.6%的农民所报告的显著气候变异性而变得脆弱。在此背景下，采用气候智能型本土","African Scientific Journal","2026-09-30T00:00:00Z",25,65,{"impact":122,"substance":241,"depth":242,"authority":17,"freshness":21,"relevant":22,"comment":243},20,16,"基于123户调查的实证研究，发现农业经验与推广信息服务而非教育程度决定气候智慧型本土实践的采纳，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，影响力有限。",[245,246],{"name":236,"url":233},{"name":236,"url":247},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23066852",[249,250,27,251,252],"农户采纳","小农户","农业推广","贝宁农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":256},{"candidates":257,"agricultural_evidence":46},[258,262,269,276,280],{"code":33,"score":55,"supported":46,"title":259,"abstract":260,"tags":261},[],[49,51],[27],{"code":263,"score":111,"supported":46,"title":264,"abstract":265,"tags":268},"A8",[],[266,267],"粮食安全","food security",[],{"code":270,"score":271,"supported":46,"title":272,"abstract":273,"tags":275},"G1",4,[],[274],"agricultural extension",[251],{"code":69,"score":63,"supported":46,"title":277,"abstract":278,"tags":279},[],[72],[],{"code":281,"score":78,"supported":14,"title":282,"abstract":283,"tags":284},"G2",[],[],[249,250],[286,287],"Djidja 气候智慧型农业 农户采纳","贝宁 农业推广 气候适应","Djidja气候智慧型农业农户采纳-3880","10.5281\u002Fzenodo.23066853",{"doi":289,"openalex_id":291,"authors":292,"venue":236,"cited_by_count":100,"oa_url":233,"card":302,"direction":107,"ingested_from":108},"W7214914541",[293,295,297,299],{"name":294,"orcid":9},"Imelda DANNOU",{"name":296,"orcid":9},"Gervais ATCHADE",{"name":298,"orcid":9},"Océane GANSA",{"name":300,"orcid":301},"Ibouraïma Yabi","https:\u002F\u002Forcid.org\u002F0000-0002-8465-9405",{"tldr":303,"method":304,"finding":305,"direction":227,"opportunity":306},"分析贝宁Djidja农户采用本土气候智慧实践的社会经济与制度决定因素。","123户混合问卷+多元线性回归，检验六变量对采用得分影响。","农业经验与推广信息获取显著促进采用，性别、教育、年龄和土地面积无显著影响。","可研究数字气象与农技信息服务如何替代传统推广，提升小农户气候智慧实践采用率。","2026-10-01T23:30:09.405648Z",{"id":309,"title":310,"url":311,"summary":312,"summary_zh":313,"content":9,"source_name":314,"source_url":311,"published_at":315,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":316,"score_detail":317,"sources":321,"tags":323,"primary_topic":328,"secondary_topics":329,"classification":330,"search_phrases":349,"slug":352,"view_count":78,"doi":353,"paper":354,"created_at":370},3260,"Social capital and scaling in climate-oriented Agricultural Research for Development","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1802627","Introduction Over 15 years of Climate-Smart Agriculture (CSA) practice have generated substantial investment in Agricultural Research for Development (AR4D), yet translating research outputs into sustained impact at scale remains one of the field's most persistent challenges. Social capital, understood as the trust, relational closeness, and social support among actors, has been identified as a key enabler of scaling processes, yet its treatment within climate-oriented AR4D has received limited systematic attention. This study addresses that gap by examining how scaling and social capital are reflected in the documented outcomes of the CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS). Conceptual basis Scaling is conceptualized through three interacting pathways: scaling out (reaching more people and places), scaling up (influencing institutions and policies), and scaling deep (transforming relational norms and practices), following Moore et al. (2015). Social capital is understood as a multidimensional relational resource encompassing trust, relational closeness, and social support, expressed through bonding, bridging, and linking ties. These frameworks are applied as interpretive lenses for reading thematic patterns, rather than as pre-specified categories imposed on the data. Methods Latent Dirichlet Allocation (LDA) topic modeling was applied to 273 CCAFS outcome reports covering 261 AR4D projects across 12 research programs from 2018 to 2021. The 17 topics identified were grouped into four thematic clusters: agricultural systems, climate change adaptation, climate change mitigation, and enabling environments. A document-level co-occurrence analysis assessed how frequently scaling and social capital themes appear together within the same outcome report. Results Scaling appears in only 1.8% of outcome reports and does so retrospectively as a reported result rather than as a planned process. Social capital terms are prevalent across the enabling environment cluster, appearing in 45.4% of reports, yet are rarely articulated as a distinct mechanism of change. Critically, only 0.7% of reports show meaningful co-occurrence of both themes. This near-absence is the study's central empirical contribution: it reveals a systematic disconnection between the relational conditions that enable scaling in practice and the way scaling is conceptualized and monitored in AR4D outcome reporting, pointing to concrete opportunities for programmatic and reporting redesign.","引言 气候智慧型农业（Climate-Smart Agriculture, CSA）实践已逾15年，为农业发展研究（Agricultural Research for Development, AR4D）带来了大量投资，然而将研究成果转化为持续的大规模影响仍是该领域最持久的挑战之一。社会资本——即行动者之间的信任、关系亲密度和社会支持——已被认定为推动规模化进程的关键使能因素，但其在面向气候的农业发展研究中的处理尚未获得充分的系统性关注。本研究通过考察国际农业研究磋商组织气候变化、农业与粮食安全研究项目（CGIAR Research Program on Climate Change, Agriculture, and Food Security, CCAFS）的已记录成果中如何体现规模化与社会资本，来填补这一空白。概念基础 规模化依据Moore等（2015）的框架，通过三条相互作用的路径加以概念化：向外扩展（覆盖更多人群和地区）、向上扩展（影响制度和政策）以及深度扩展（转变关系规范与实践）。社会资本被理解为一种多维关系资源，涵盖信任、关系亲密度和社会支持，通过联结型、桥接型和链接型纽带得以体现。这些框架作为解读主题模式的分析视角加以应用，而非作为预先设定并强加于数据的类别。方法 对2018年至2021年间涵盖12个研究项目、261个农业发展研究项目的273份CCAFS成果报告，应用了潜在狄利克雷分配（Latent Dirichlet Allocation, LDA）主题建模。所识别的17个主题被归为四个主题集群：农业系统、气候变化适应、气候变化减缓以及使能环境。通过文档层面的共现分析，评估了规模化与社会资本主题在同一成果报告中共同出现的频率。结果 规模化仅出现在1.8%的成果报告中，且是以回溯性方式作为已报告的结果而非作为规划中的过程出现。社会资本相关术语在使能环境集群中普遍存在，出现在45.4%的报告中，但很少被明确阐述为一种独特的变革机制。关键在于，仅0.7%的报告显示这两个主题存在有意义的共现。这种近乎缺失是本研究的核心实证贡献：它揭示了在实践中使能规模化的关系条件与农业发展研究成果报告中规模化被概念化和监测的方式之间存在系统性脱节，并指出了项目中具体的改进机会。","Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z",76,{"impact":17,"substance":318,"depth":123,"authority":319,"freshness":13,"relevant":22,"comment":320},22,14,"基于273份CCAFS项目成果报告的LDA主题建模研究，揭示规模化与社会资本在成果报告中的系统性脱节，方法规范、数据扎实，对农业科研项目管理与评估有参考价值。",[322],{"name":314,"url":311},[324,27,325,326,327],"成果转化","LDA主题模型","农业科研发展","社会资本",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":331},{"candidates":332,"agricultural_evidence":46},[333,337,341,345],{"code":33,"score":55,"supported":46,"title":334,"abstract":335,"tags":336},[],[49,51],[27],{"code":263,"score":111,"supported":46,"title":338,"abstract":339,"tags":340},[],[266,267],[],{"code":270,"score":271,"supported":46,"title":342,"abstract":343,"tags":344},[],[324],[324],{"code":69,"score":63,"supported":46,"title":346,"abstract":347,"tags":348},[],[72],[],[350,351],"CCAFS 气候智慧型农业 规模化","农业科研发展 社会资本 成果转化","CCAFS气候智慧型农业规模化-3260","10.3389\u002Ffsufs.2026.1802627",{"doi":353,"openalex_id":355,"authors":356,"venue":314,"cited_by_count":100,"oa_url":311,"card":365,"direction":107,"ingested_from":108},"W7214061539",[357,360,363],{"name":358,"orcid":359},"Deissy Martínez- Barón","https:\u002F\u002Forcid.org\u002F0000-0003-2317-8760",{"name":361,"orcid":362},"Anne Gravsholt Busck","https:\u002F\u002Forcid.org\u002F0000-0002-7328-795X",{"name":364,"orcid":9},"Steven Dean Prager",{"tldr":366,"method":367,"finding":368,"direction":227,"opportunity":369},"用LDA分析CCAFS成果报告，揭示规模化与社会资本在气候农业研发中被割裂。","LDA主题建模与共现分析，273份CCAFS成果报告（2018-2021）。","规模化仅现于1.8%报告且为事后结果，与社会资本共现仅0.7%，二者系统性脱节。","可将社会资本关系指标嵌入农业研发成果监测与知识图谱，构建可量化的规模化评估模型。","2026-09-23T23:30:06.854102Z",{"id":372,"title":373,"url":374,"summary":375,"summary_zh":376,"content":9,"source_name":377,"source_url":374,"published_at":378,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":316,"score_detail":379,"sources":381,"tags":383,"primary_topic":387,"secondary_topics":392,"classification":398,"search_phrases":449,"slug":452,"view_count":453,"doi":454,"paper":455,"created_at":465},3156,"Climate Adaptation and Sustainable Agriculture in Africa: Strategies for Food Security","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.11.no2.2025.pg8.32","This study investigates the role of Climate-Smart Agriculture (CSA) and agroecology in enhancing agricultural resilience and food security in the face of climate change in Africa. Through a comprehensive review of existing literature, case studies, and policy frameworks, the research explores how these adaptive strategies are being implemented across the continent and assesses their effectiveness. The findings reveal that while CSA techniques—such as droughtresistant crop varieties, water-efficient irrigation, and soil management practices—offer tangible benefits to agricultural productivity and resilience, their widespread adoption remains constrained by limited access to finance, inadequate infrastructure, and insufficient extension services. Similarly, agroecological approaches, including crop diversification, agroforestry, and organic farming, have proven successful in fostering sustainable agricultural practices and enhancing biodiversity, yet face significant challenges from prevailing agricultural policies and institutional frameworks that favor large-scale industrial agriculture. The study recommends scaling up the adoption of CSA and agroecology by improving access to financing, technology, and farmer training programs. It also advocates for policy reforms that support agroecological practices and climate adaptation, as well as increased investment in research and development. Additionally, fostering multi-stakeholder collaborations, including public-private partnerships, is critical to overcoming institutional barriers and ensuring the effective implementation of climate adaptation strategies. The conclusion underscores the need for integrated policy frameworks that combine the strengths of CSA and agroecology to build a resilient, sustainable, and food-secure agricultural sector in Africa. By addressing both environmental and socioeconomic challenges, these strategies can significantly contribute to combating the impacts of climate change on African agriculture, ensuring long-term food security and sustainable development.","本研究探讨了气候智能型农业（Climate-Smart Agriculture, CSA）和农业生态学在增强非洲农业应对气候变化韧性和粮食安全方面的作用。通过系统梳理现有文献、案例研究和政策框架，本研究考察了这些适应性策略在非洲大陆的实施情况并评估其有效性。研究发现，尽管气候智能型农业技术——如抗旱作物品种、节水灌溉和土壤管理措施——对提高农业生产力和韧性具有切实效益，但其广泛采用仍受限于融资渠道有限、基础设施不足和推广服务欠缺。同样，农业生态学方法，包括作物多样化、农林业和有机农业，已被证明在促进可持续农业实践和增强生物多样性方面卓有成效，但仍面临来自有利于大规模工业化农业的现行农业政策和制度框架的重大挑战。本研究建议通过改善融资渠道、技术获取和农民培训项目来扩大气候智能型农业和农业生态学的采用。研究还倡导支持农业生态实践和气候适应的政策改革，以及增加研发投入。此外，促进多方利益相关者合作，包括公私合作伙伴关系，对于克服制度障碍和确保气候适应策略的有效实施至关重要。结论强调，需要建立综合性政策框架，将气候智能型农业和农业生态学的优势相结合，以在非洲构建具有韧性、可持续且粮食安全的农业部门。通过同时应对环境和社会经济挑战，这些策略能够为抵御气候变化对非洲农业的影响、确保长期粮食安全和可持续发展作出重大贡献。","IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-21T00:00:00Z",{"impact":123,"substance":241,"depth":19,"authority":20,"freshness":122,"relevant":22,"comment":380},"系统综述非洲气候智慧型农业与生态农业的适应策略及政策障碍，结论可靠但属文献综述，非突破性成果。",[382],{"name":377,"url":374},[266,384,27,385,386],"非洲农业","农业适应","生态农业",{"code":263,"slug":388,"name":389,"path":390,"parent_code":391},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[393,397],{"code":62,"slug":394,"name":395,"path":396,"parent_code":37},"sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":399},{"candidates":400,"agricultural_evidence":46},[401,405,410,414,423,427,434,439,443],{"code":263,"score":124,"supported":46,"title":402,"abstract":403,"tags":404},[267],[266,267],[266],{"code":62,"score":17,"supported":46,"title":406,"abstract":408,"tags":409},[407],"sustainable agriculture",[66],[386],{"code":33,"score":13,"supported":46,"title":411,"abstract":412,"tags":413},[],[49,184,51],[27],{"code":415,"score":21,"supported":46,"title":416,"abstract":417,"tags":422},"H6",[],[418,419,420,421],"生物多样性","农业生态","biodiversity","agroecology",[],{"code":54,"score":111,"supported":46,"title":424,"abstract":425,"tags":426},[],[58,59],[],{"code":428,"score":111,"supported":46,"title":429,"abstract":430,"tags":433},"H3",[],[431,432],"灌溉","irrigation",[],{"code":435,"score":271,"supported":46,"title":436,"abstract":437,"tags":438},"J3",[],[384],[384],{"code":69,"score":63,"supported":46,"title":440,"abstract":441,"tags":442},[],[72],[],{"code":444,"score":63,"supported":46,"title":445,"abstract":446,"tags":448},"J1",[],[447],"农业政策",[],[450,451],"气候智慧型农业 非洲","生态农业 粮食安全","气候智慧型农业非洲-3156",5,"10.56201\u002Fijgem.vol.11.no2.2025.pg8.32",{"doi":454,"openalex_id":456,"authors":457,"venue":377,"cited_by_count":22,"oa_url":9,"card":460,"direction":107,"ingested_from":108},"W7213982962",[458],{"name":459,"orcid":9},"Ayobami Samuel Owoyemi",{"tldr":461,"method":462,"finding":463,"direction":105,"opportunity":464},"综述气候智慧型农业与生态农业在非洲提升农业韧性与粮食安全的成效及障碍。","文献综述、案例研究与政策框架分析。","两类策略有效但受资金、基建、推广服务及政策偏向制约。","可量化评估CSA与生态农业在非洲不同区域的适配性与政策协同效果。","2026-09-22T23:30:10.505058Z",{"id":467,"title":468,"url":469,"summary":470,"summary_zh":471,"content":9,"source_name":314,"source_url":469,"published_at":472,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":473,"score_detail":474,"sources":476,"tags":478,"primary_topic":482,"secondary_topics":483,"classification":484,"search_phrases":515,"slug":518,"view_count":63,"doi":519,"paper":520,"created_at":537},2632,"AquaCrop modelling with frost risk in Southern Africa for bambara groundnut suitability and optimal planting dates","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1829034","Bambara groundnut ( Vigna subterranea ) is a resilient indigenous African legume with potential for improving food and nutrition security in semi-arid environments. However, conventional land suitability assessments often rely on static climatic averages, which fail to capture the dynamic interactions between climate variability and crop phenology. This study proposes a novel, process-based framework that integrates the AquaCrop simulation model with a custom frost-trigger algorithm to map land suitability and optimal planting dates across 5,838 altitude zones in Southern Africa. By simulating crop growth dynamics over 49 consecutive seasons, the framework explicitly accounts for inter-seasonal variability and extreme events, specifically frost and water stress, that are typically overlooked in conventional assessments. A sequential filtering procedure was applied to exclude unsuitable areas based on seasonal rainfall thresholds, risk of crop failure, and variability in water productivity. Findings indicate that October is the most favourable planting month, as later sowings face increased yield reductions due to potential frost risk. Accounting for frost occurrence reduced suitable growing areas by 28%, with refined land-use filtering further reducing viable area by 20%. These results highlight the critical role of dynamic environmental stressors in accurately assessing crop suitability. Ultimately, this framework provides a scalable tool for climate-smart agricultural planning, offering a more robust approach to identifying viable production zones for resilient underutilised crops.","班巴拉花生（Vigna subterranea）是一种具有韧性的非洲本土豆科作物，在改善半干旱环境的粮食和营养安全方面具有潜力。然而，传统的土地适宜性评估往往依赖静态气候平均值，无法捕捉气候变率与作物物候之间的动态相互作用。本研究提出了一种新颖的基于过程的框架，将AquaCrop模拟模型与自定义霜冻触发算法相结合，以绘制南部非洲5，838个海拔区域的土地适宜性和最佳播种日期。通过在连续49个生长季中模拟作物生长动态，该框架明确考虑了传统评估中通常被忽视的季节间变率和极端事件，特别是霜冻和水分胁迫。研究采用序贯筛选程序，基于季节性降雨阈值、作物歉收风险和水生产力变异性排除不适宜区域。研究结果表明，10月是最有利的播种月份，较晚播种因潜在霜冻风险而面临更大的产量损失。考虑霜冻发生使适宜种植面积减少了28%，进一步的土地利用精细化筛选又使可行面积减少了20%。这些结果凸显了动态环境胁迫因素在准确评估作物适宜性中的关键作用。最终，该框架为气候智慧型农业规划提供了一种可扩展的工具，为确定具有韧性的未充分利用作物的可行生产区提供了更为稳健的方法。","2026-09-15T00:00:00Z",78,{"impact":242,"substance":318,"depth":123,"authority":20,"freshness":21,"relevant":22,"comment":475},"该研究将AquaCrop模型与霜冻风险算法结合，在南部非洲5838个海拔带模拟49季作物生长，方法新颖、数据规模大，对气候智慧型农业规划有参考价值，但区域聚焦非洲，国内影响有限。",[477],{"name":314,"url":469},[479,384,27,480,481],"智慧农业","作物模型","种植适宜性",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":485},{"candidates":486,"agricultural_evidence":46},[487,491,497,502,506,511],{"code":33,"score":271,"supported":46,"title":488,"abstract":489,"tags":490},[],[50],[27],{"code":492,"score":63,"supported":46,"title":493,"abstract":494,"tags":496},"A4",[],[495],"花生",[],{"code":444,"score":63,"supported":46,"title":498,"abstract":499,"tags":501},[],[500],"农业规划",[],{"code":69,"score":22,"supported":14,"title":503,"abstract":504,"tags":505},[],[],[479],{"code":507,"score":22,"supported":14,"title":508,"abstract":509,"tags":510},"I2",[],[],[480],{"code":435,"score":22,"supported":14,"title":512,"abstract":513,"tags":514},[],[],[384],[516,517],"气候智慧型农业 种植适宜性 作物模型 智慧农业","气候智慧型农业 种植适宜性","气候智慧型农业种植适宜性作物模型智慧农业-2632","10.3389\u002Ffsufs.2026.1829034",{"doi":519,"openalex_id":521,"authors":522,"venue":314,"cited_by_count":100,"oa_url":530,"card":531,"direction":535,"ingested_from":108},"W7213270406",[523,525,527],{"name":524,"orcid":9},"Simon Lake",{"name":526,"orcid":9},"Richard Kunz",{"name":528,"orcid":529},"Tafadzwanashe Mabhaudhi","https:\u002F\u002Forcid.org\u002F0000-0002-9323-8127","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1829034\u002Fpdf",{"tldr":532,"method":533,"finding":534,"direction":535,"opportunity":536},"用AquaCrop结合霜冻算法评估南部非洲班巴拉花生适宜性与最佳播期。","AquaCrop作物模型+霜冻触发算法，模拟49季5838个海拔带。","10月最适播种，考虑霜冻使适宜区减少28%，土地利用过滤再减20%。","农业人工智能与决策模型","可将该动态胁迫框架迁移到其他未充分利用作物或区域，并耦合未来气候情景。","2026-09-16T23:30:08.115404Z"]