[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4528":3,"related-4528":137},{"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":44,"search_phrases":116,"slug":119,"view_count":22,"doi":120,"paper":121,"created_at":136},4528,"Integrating indigenous knowledge systems into regenerative agriculture for sustainable crop production in southern Africa","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs43621-026-04926-8","Abstract Agricultural production in Southern Africa is increasingly constrained by climate variability, declining soil fertility, water scarcity, biodiversity loss, and rising pest pressures, particularly within rain-fed smallholder farming systems. Indigenous Knowledge Systems (IKS), developed through generations of interaction between communities and local agroecosystems, offer context-specific approaches that align closely with the principles of regenerative agriculture. This review synthesizes evidence from 37 publications examining the contribution of IKS to sustainable crop production across Southern Africa. Particular attention is given to soil health, soil biological activity, water-use efficiency, ecological pest regulation, crop productivity, and climate resilience. The synthesis demonstrates that indigenous regenerative practices, including organic soil amendments, residue retention, crop diversification, intercropping, agroforestry, water harvesting, and botanical pest management, improve soil organic carbon, enhance microbial activity, increase water retention, and stabilize yields under climatic stress. Evidence further indicates that indigenous pest management strategies frequently maintain pest populations below economic injury thresholds, thereby reducing dependence on synthetic pesticides while supporting ecosystem services. The review highlights the convergence between IKS, agroecology, integrated pest management, conservation agriculture, and regenerative agriculture, and proposes pathways for integrating indigenous ecological indicators into decision-support systems, crop models, and precision agriculture technologies. Despite growing recognition of indigenous knowledge within sustainability and climate adaptation agendas, significant gaps remain in quantitative validation, longitudinal assessment, and integration into formal agricultural research and policy frameworks. The findings demonstrate that Indigenous Knowledge Systems constitute a scientifically credible and economically viable foundation for regenerative agriculture and contribute directly to Sustainable Development Goals 2 (Zero Hunger), 12 (Responsible Consumption and Production), 13 (Climate Action), and 15 (Life on Land). Strengthening the integration of indigenous and scientific knowledge systems will be essential for building resilient, productive, and sustainable agricultural systems across Southern Africa and the broader Global South.","摘要 南部非洲的农业生产日益受到气候变异性、土壤肥力下降、水资源短缺、生物多样性丧失和病虫害压力上升的制约，这在雨养小农耕作系统中尤为突出。本土知识体系（Indigenous Knowledge Systems, IKS）通过社区与地方农业生态系统数代互动而发展形成，提供了与再生农业原则高度契合的情境化方法。本综述综合了37篇文献的证据，考察了IKS在南部非洲可持续作物生产中的贡献。研究特别关注土壤健康、土壤生物活性、水分利用效率、生态病虫害调控、作物生产力及气候韧性。综合结果表明，本土再生实践——包括有机土壤改良、残茬保留、作物多样化、间作、农林业、集水和植物源病虫害管理——能够提高土壤有机碳、增强微生物活性、增加持水量并在气候胁迫下稳定产量。证据进一步表明，本土病虫害管理策略常能将病虫害种群维持在经济危害阈值以下，从而减少对合成农药的依赖，同时支持生态系统服务。本综述强调了IKS与农业生态学、病虫害综合治理、保护性农业和再生农业之间的趋同性，并提出了将本土生态指标纳入决策支持系统、作物模型和精准农业技术的路径。尽管本土知识在可持续发展和气候适应议程中日益受到认可，但在定量验证、长期评估以及纳入正式农业研究和政策框架方面仍存在显著空白。研究结果表明，本土知识体系构成了再生农业的科学可信且经济可行的基础，并直接有助于实现可持续发展目标2（零饥饿）、12（负责任消费和生产）、13（气候行动）和15（陆地生物）。加强本土知识与科学知识体系的整合，对于在南部非洲及更广泛的全球南方构建韧性、高产和可持续的农业系统至关重要。",null,"Discover Sustainability","2026-10-08T00:00:00Z","论文",10,false,75,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},15,21,18,13,8,1,"综述整合37篇文献，论证土著知识对再生农业与气候韧性的科学价值，具区域政策参考意义。",[25],{"name":10,"url":6},[27,28,29,30,31],"小农户","气候韧性","土壤健康","再生农业","土著知识",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H8","sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture","H",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":45,"locked":14,"version":46,"method":47,"evidence":48},"classified","2026-10-22.2","rules",{"candidates":49,"agricultural_evidence":51},[50,57,66,74,81,89,96,103,110],{"code":33,"score":19,"supported":51,"title":52,"abstract":54,"tags":56},true,[53],"regenerative agriculture",[30,55,53],"conservation agriculture",[30],{"code":40,"score":58,"supported":51,"title":59,"abstract":60,"tags":65},9,[],[61,62,63,41,64],"生物多样性","农业生态","生态系统服务","agroecology",[],{"code":67,"score":68,"supported":51,"title":69,"abstract":70,"tags":73},"H2",7,[],[71,72],"土壤","soil",[29],{"code":75,"score":68,"supported":51,"title":76,"abstract":77,"tags":80},"H7",[],[78,79],"气候适应","climate resilience",[28],{"code":82,"score":83,"supported":51,"title":84,"abstract":85,"tags":88},"A7",6,[],[86,87],"间作","intercropping",[],{"code":90,"score":83,"supported":51,"title":91,"abstract":92,"tags":95},"I1",[],[93,94],"精准农业","precision agriculture",[],{"code":97,"score":98,"supported":51,"title":99,"abstract":100,"tags":102},"G2",4,[],[101],"smallholder",[27],{"code":104,"score":105,"supported":51,"title":106,"abstract":107,"tags":109},"F4",3,[],[108],"农药",[],{"code":111,"score":105,"supported":51,"title":112,"abstract":113,"tags":115},"H3",[],[114],"水资源",[],[117,118],"南部非洲 再生农业 土著知识","土著知识 土壤健康 小农户","南部非洲再生农业土著知识-4528","10.1007\u002Fs43621-026-04926-8",{"doi":120,"openalex_id":122,"authors":123,"venue":10,"cited_by_count":127,"oa_url":6,"card":128,"direction":134,"ingested_from":135},"W7220943031",[124],{"name":125,"orcid":126},"Albert Thembinkosi Modi","https:\u002F\u002Forcid.org\u002F0000-0002-6887-1721",0,{"tldr":129,"method":130,"finding":131,"direction":132,"opportunity":133},"综述37篇文献，论证南部非洲本土知识可支撑再生农业与可持续作物生产。","系统综述37篇文献，聚焦土壤、水分、病虫害与气候韧性。","本土再生实践能提升土壤碳、微生物活性与水分保持，稳定产量并减少农药依赖。","农业绿色发展与碳","可将本土生态指标量化并嵌入作物模型与精准农业决策系统，填补长期验证空白。","农业人工智能与决策模型","openalex","2026-10-09T23:30:52.261674Z",{"total":83,"page":22,"page_size":83,"items":138},[139,192,257,312,391,461],{"id":140,"title":141,"url":142,"summary":143,"summary_zh":9,"content":9,"source_name":144,"source_url":142,"published_at":145,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":146,"score_detail":147,"sources":151,"tags":153,"primary_topic":156,"secondary_topics":157,"classification":159,"search_phrases":171,"slug":174,"view_count":105,"doi":175,"paper":176,"created_at":191},1272,"Biodiversity isn’t measured in tons: Making sense of nature in the context of sustainable agriculture","https:\u002F\u002Fdoi.org\u002F10.32942\u002Fx28t1r","In this review, we articulate several important, but often overlooked concepts, trends, and perspectives in the biodiversity monitoring space, specifically in the context of transforming agriculture and the wider food system. We describe the common approaches to biodiversity monitoring — those focused on species, communities, functions, habitats, etc — and the methods and tools commonly used to track change. We then describe a set of fundamental ecological principles that are often overlooked by practitioners entering the agrobiodiversity space for the first time, particularly those with technical, industrial, and policy expertise in agriculture-adjacent fields who seek to incorporate biodiversity into their research and operations. For these practitioners, we discuss the importance of abundance, the timelines along which population trends can be quantitatively established, the geographical scales at which ecological interactions play out, and the implications therein for anyone looking to monitor the effect of farm management practices. We attempt to describe the complexities that arise when navigating the intersection of ecological, agricultural, and social systems, highlighting the multiple sets of voices, values, and priorities that come into play in this space. From intergovernmental panels to individual farmers, the agrobiodiversity space holds a multitude of arenas of where decisions are made. We raise the question of “why, how, and for whom are we monitoring biodiversity?” to encourage practitioners new to this space to consider the implications of their approach. Finally, we discuss the conflicts and trade-offs that emerge in the intersection of productivity, profits, carbon and biodiversity, and explore the challenges in finding a balance between them in the transition toward a more sustainable form of agriculture.","OpenAlex","2026-08-28T00:00:00Z",73,{"impact":19,"substance":148,"depth":19,"authority":149,"freshness":105,"relevant":22,"comment":150},22,12,"综述性论文，系统梳理农业生物多样性监测的概念、方法与挑战，对农业可持续发展有参考价值。",[152],{"name":144,"url":142},[154,62,61,155],"可持续农业","监测方法",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[158],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":160},{"candidates":161,"agricultural_evidence":51},[162,166],{"code":40,"score":20,"supported":51,"title":163,"abstract":164,"tags":165},[41],[41],[62,61],{"code":33,"score":58,"supported":51,"title":167,"abstract":169,"tags":170},[168],"sustainable agriculture",[],[154],[172,173],"可持续农业 生物多样性 农业生态 监测方法","可持续农业 生物多样性","可持续农业生物多样性农业生态监测方法-1272","10.32942\u002Fx28t1r",{"doi":175,"openalex_id":177,"authors":178,"venue":9,"cited_by_count":127,"oa_url":184,"card":185,"direction":190,"ingested_from":135},"W7204518041",[179,182],{"name":180,"orcid":181},"Iqbal Singh Bhalla","https:\u002F\u002Forcid.org\u002F0000-0002-5611-8361",{"name":183,"orcid":9},"Philip Loring","https:\u002F\u002Fecoevorxiv.org\u002Frepository\u002Fobject\u002F14661\u002Fdownload\u002F25513\u002F",{"tldr":186,"method":187,"finding":188,"direction":132,"opportunity":189},"综述农业生物多样性监测的概念、方法、原则及权衡，强调监测目的与尺度。","综述常见监测方法（物种、群落等）及工具，讨论生态原则与多系统交叉。","监测需关注丰度、时间尺度、地理尺度，并权衡生产力、碳与生物多样性。","可研究农业管理措施对生物多样性的多尺度影响，及权衡碳与生物多样性的决策模型。","智慧农业 \u002F 农业物联网","2026-09-01T04:03:13.203738Z",{"id":193,"title":194,"url":195,"summary":196,"summary_zh":9,"content":9,"source_name":197,"source_url":9,"published_at":198,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":199,"score_detail":200,"sources":204,"tags":206,"primary_topic":210,"secondary_topics":211,"classification":216,"search_phrases":243,"slug":246,"view_count":105,"doi":9,"paper":247,"created_at":256},3243,"Integrating Climate Resilience and Digital Traceability in Regenerative Agri-Food Systems: A Scenario-Based Framework for Verifiable Sustainability Claims（再生农业食品系统整合气候韧性与数字溯源：可验证可持续性声明的情景框架）","https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F18\u002F2024","MDPI Agriculture 16(18) 2024 发表研究：面对再生农业食品系统的可持续性声明常缺乏可验证、系统性证据的问题，构建整合情景分析、SWOT评估和案例研究的三方法框架。三种前瞻性情景——乐观、常规、悲观——基于现有气候韧性和政策文献构建；SWOT分析综合区块链、物联网和AI赋能的溯源机制影响因素；案例研究以先前记录的再生农业食品计划为基础，分析气候韧性叙事、数字验证工具和消费者信任线索的交互作用。结果表明，再生声明常与可验证数据流脱节，数字溯源采用面临结构性、成本相关障碍，消费者信任更依赖于情感和本土化线索而非正式认证；该框架为政策制定者、认证机构和农产品生产者将气候韧性战略与数字可验证可持续性声明相结合提供可复制、低资源方法。（罗马尼亚布加勒斯特国家科学技术大学Politehnica）","MDPI Agriculture","2026-09-20T00:00:00Z",70,{"impact":149,"substance":201,"depth":202,"authority":20,"freshness":21,"relevant":22,"comment":203},20,17,"论文提出情景分析、SWOT与案例研究三方法框架，指出再生农业可持续性声明与可验证数据流脱节，对农业数字化溯源有参考价值，但属学术探讨、产业落地影响有限。",[205],{"name":197,"url":195},[207,208,28,209,30],"农业人工智能","区块链","数字溯源",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[212],{"code":75,"slug":213,"name":214,"path":215,"parent_code":37},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"status":45,"locked":14,"version":46,"method":47,"evidence":217},{"candidates":218,"agricultural_evidence":51},[219,223,227,233,238],{"code":33,"score":149,"supported":51,"title":220,"abstract":221,"tags":222},[30],[30],[30],{"code":75,"score":58,"supported":51,"title":224,"abstract":225,"tags":226},[79],[],[28],{"code":228,"score":105,"supported":51,"title":229,"abstract":230,"tags":232},"I5",[],[231],"物联网",[],{"code":234,"score":22,"supported":14,"title":235,"abstract":236,"tags":237},"E4",[],[],[209],{"code":239,"score":22,"supported":14,"title":240,"abstract":241,"tags":242},"I2",[],[],[207],[244,245],"布加勒斯特 Politehnica 再生农业","MDPI Agriculture 数字溯源","布加勒斯特Politehnica再生农业-3243",{"doi":9,"openalex_id":9,"authors":248,"venue":9,"cited_by_count":127,"oa_url":9,"card":249,"direction":253,"ingested_from":255},[],{"tldr":250,"method":251,"finding":252,"direction":253,"opportunity":254},"构建情景分析、SWOT与案例研究框架，整合再生农业的气候韧性与数字溯源以验证可持续性声明。","情景分析、SWOT评估与案例研究三方法框架，结合区块链、物联网和AI溯源文献。","再生声明常与可验证数据脱节，数字溯源有成本障碍，消费者信任更依赖情感与本土线索。","数字乡村与农业信息化","可探索低成本数字溯源与本土化信任线索结合的可验证声明机制，尤其在小农户场景。","agent","2026-09-23T00:04:32.924354Z",{"id":258,"title":259,"url":260,"summary":261,"summary_zh":9,"content":9,"source_name":262,"source_url":9,"published_at":198,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":263,"score_detail":264,"sources":266,"tags":268,"primary_topic":272,"secondary_topics":273,"classification":274,"search_phrases":299,"slug":302,"view_count":303,"doi":9,"paper":304,"created_at":311},3050,"面向再生农业与气候韧性食物系统的可解释数字孪生集成框架","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F18\u002F9645","研究提出集成全球农业基础表征模型（GAFRM）、自演化可解释数字孪生（SEDT）、自演化进化基础优化器（SEEFO）与增强型绿色再生农业可持续性指数（GRASI）的统一计算框架，显式将作物微量营养素密度纳入农业决策架构并建模其与覆盖作物、生物炭施用、免耕等再生实践的关系。框架使用多源全球数据集评估全球约60个代表性国家6大洲15个气候带2000-2026年数据，SEDT达到RMSE 3.18\u002FMAE 2.29\u002FR² 0.972\u002FNSE 0.968；SEEFO获得最高Hypervolume 0.956与最低GD 0.028；通过XAI特征归因建立全透明、可解释决策支持环境。","MDPI Sustainability 18(18):9645",80,{"impact":19,"substance":148,"depth":19,"authority":20,"freshness":58,"relevant":22,"comment":265},"方法新颖、数据规模大且指标可靠，属农业人工智能与气候智慧农业前沿成果，值得进入每日精选。",[267],{"name":262,"url":260},[269,270,271,28,30],"智慧农业","可解释AI","数字孪生",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":275},{"candidates":276,"agricultural_evidence":51},[277,281,285,291,295],{"code":90,"score":20,"supported":51,"title":278,"abstract":279,"tags":280},[271],[271],[271,269],{"code":33,"score":149,"supported":51,"title":282,"abstract":283,"tags":284},[30],[30],[30],{"code":286,"score":105,"supported":51,"title":287,"abstract":288,"tags":290},"J3",[],[289],"全球农业",[],{"code":75,"score":22,"supported":14,"title":292,"abstract":293,"tags":294},[],[],[28],{"code":239,"score":22,"supported":14,"title":296,"abstract":297,"tags":298},[],[],[270],[300,301],"GAFRM 数字孪生 再生农业","GRASI 气候韧性","GAFRM数字孪生再生农业-3050",2,{"doi":9,"openalex_id":9,"authors":305,"venue":9,"cited_by_count":127,"oa_url":9,"card":306,"direction":134,"ingested_from":255},[],{"tldr":307,"method":308,"finding":309,"direction":134,"opportunity":310},"提出集成数字孪生与进化优化的可解释框架，将微量营养素密度纳入再生农业决策。","全球60国2000-2026多源数据，GAFRM+SEDT+SEEFO+GRAS","SEDT预测精度高（R²0.972），SEEFO优化性能最优，实现透明可解释决策支持。","可探索将微量营养素密度与再生实践耦合的实时数字孪生，并验证跨气候带可迁移性。","2026-09-21T00:04:39.490071Z",{"id":313,"title":314,"url":315,"summary":316,"summary_zh":317,"content":9,"source_name":318,"source_url":315,"published_at":319,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":320,"score_detail":321,"sources":324,"tags":326,"primary_topic":330,"secondary_topics":336,"classification":338,"search_phrases":371,"slug":374,"view_count":127,"doi":375,"paper":376,"created_at":390},5475,"Adoption of Climate-Smart Conservation Agriculture in Improving Food Security in Zimbabwe: The Case of Marondera District, Zimbabwe","https:\u002F\u002Fdoi.org\u002F10.71458\u002Fwby9rf15","Climate change is negatively impacting the global community and local communities in the Southern African Development Community (SADC) region. Extreme weather events are occurring more frequently, posing a threat to human lives and well-being. Climate change-induced disasters have exacerbated the risks of hunger and under nutrition through reduced yields of agricultural crops. The detrimental effects of climate change are particularly seen in Zimbabwe. It is best to use climate-smart agriculture (CSA) in the smallholder agricultural sector, which produces the majority of the nation's food. Therefore, it is important to learn lessons from past events and manage risks effectively as part of an integrated set of interventions directed at mitigating the harmful impacts of disasters and risks. The research explores community adaptation and coping strategies in addressing the effects of climate change on food security using Marondera District as a case study. The research was conducted using the qualitative research methodology. Data were collected from a population of 50 people that included smallscale farmers, Agritex officers, extension officers, non-governmental organisation (NGO) representatives, village herdsman and the chief. Documentary research was analysed thematically. The research concludes that climate change has had a negative impact on food security. It affected all the four dimensions of food security, that is; food availability, food accessibility, food utilisation and food systems stability. In response, various projects aimed at ensuring community resilience to cope in the face of climatological hazards have been implemented by NGOs, government institutions and other actors, with community members being key stakeholder. The research recommends continued mobilisation of social protection interventions, building of resilient agricultural systems to make them more resilient to climate change and improving the management of the environment to ensure effectiveness in efforts to mitigate the impact of climate change on food security.","气候变化正在对全球社会以及南部非洲发展共同体（SADC）区域的当地社区产生负面影响。极端天气事件发生频率增加，对人类生命和福祉构成威胁。气候变化引发的灾害通过降低农作物产量，加剧了饥饿和营养不足的风险。气候变化的不利影响在津巴布韦尤为显著。在小农农业部门——该部门生产了全国大部分粮食——最好采用气候智能型农业（CSA）。因此，重要的是从过去的事件中吸取教训，并作为旨在减轻灾害和风险有害影响的一套综合干预措施的一部分，有效管理风险。本研究以马龙德拉区为案例，探讨社区在应对气候变化对粮食安全影响方面的适应和应对策略。研究采用定性研究方法开展。数据从50人的群体中收集，包括小规模农户、Agritex官员、推广官员、非政府组织（NGO）代表、村级牧民和酋长。文献研究进行了主题分析。研究得出结论，气候变化对粮食安全产生了负面影响。它影响了粮食安全的所有四个维度，即粮食可供性、粮食可及性、粮食利用和粮食系统稳定性。作为回应，非政府组织、政府机构和其他行为体实施了旨在确保社区抵御气候灾害能力的各类项目，社区成员是关键利益相关者。研究建议继续动员社会保护干预措施，建设有韧性的农业系统以使其更能抵御气候变化，并改善环境管理，以确保减轻气候变化对粮食安全影响的努力取得实效。","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations","2026-10-20T00:00:00Z",54,{"impact":21,"substance":19,"depth":322,"authority":83,"freshness":21,"relevant":22,"comment":323},14,"以津巴布韦Marondera区为案例的定性研究，探讨气候智慧型保护性农业对粮食安全四维度的影响，属区域案例研究，国际借鉴价值有限，不建议进入每日精选。",[325],{"name":318,"url":315},[327,27,328,329],"粮食安全","气候智慧农业","津巴布韦",{"code":331,"slug":332,"name":333,"path":334,"parent_code":335},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[337],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":339},{"candidates":340,"agricultural_evidence":51},[341,346,350,356,360,365],{"code":331,"score":17,"supported":51,"title":342,"abstract":344,"tags":345},[343],"food security",[327,343],[327],{"code":33,"score":21,"supported":51,"title":347,"abstract":348,"tags":349},[55],[],[],{"code":75,"score":68,"supported":51,"title":351,"abstract":352,"tags":355},[],[353,354],"气候变化","climate change",[328],{"code":97,"score":98,"supported":51,"title":357,"abstract":358,"tags":359},[],[101],[27],{"code":90,"score":105,"supported":51,"title":361,"abstract":362,"tags":364},[],[363],"smart agriculture",[],{"code":366,"score":105,"supported":51,"title":367,"abstract":368,"tags":370},"I7",[],[369],"研究方法",[],[372,373],"Marondera 气候智慧农业","津巴布韦 小农户 粮食安全","Marondera气候智慧农业-5475","10.71458\u002Fwby9rf15",{"doi":375,"openalex_id":377,"authors":378,"venue":318,"cited_by_count":127,"oa_url":9,"card":385,"direction":190,"ingested_from":135},"W7223010488",[379,382],{"name":380,"orcid":381},"Irony Mazuruse","https:\u002F\u002Forcid.org\u002F0009-0007-5600-7825",{"name":383,"orcid":384},"Judith Chokumanyara","https:\u002F\u002Forcid.org\u002F0009-0000-7386-9960",{"tldr":386,"method":387,"finding":388,"direction":132,"opportunity":389},"研究津巴布韦Marondera地区小农户采用气候智能型保护性农业对粮食安全的影响。","定性研究，访谈50名小农户、推广员、NGO代表等，并进行主题分析。","气候变化损害粮食安全四个维度，多方项目提升了社区抗灾韧性。","可量化气候智能型保护性农业对粮食安全四维度的贡献，并评估数字推广工具在其中的作用。","2026-10-21T23:30:08.757283Z",{"id":392,"title":393,"url":394,"summary":395,"summary_zh":396,"content":9,"source_name":397,"source_url":394,"published_at":398,"category":12,"cover_url":9,"hotness":399,"is_selected":14,"score":400,"score_detail":401,"sources":404,"tags":410,"primary_topic":415,"secondary_topics":416,"classification":417,"search_phrases":445,"slug":448,"view_count":22,"doi":449,"paper":450,"created_at":460},4008,"Agroecology as a pathway for scaling climate-smart agriculture and strengthening food system resilience in Benin","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23087822","Climate-Smart Agriculture (CSA) is widely promoted to address food insecurity, climate variability, and environmental degradation in sub-Saharan Africa. However, evidence on scalable and context-specific pathways for CSA adoption in smallholder systems remains limited, particularly regarding agroecological transitions. This study assesses agroecology as a pathway for scaling CSA and strengthening food system resilience in three communes of Benin (Dassa-Zoumè, Bohicon and Parakou), examining contributions to the three CSA pillars of adaptation, mitigation and productivity. A mixed-methods design combined a structured household survey (n = 210), semi-structured interviews with key informants (n = 32), and secondary agricultural and climate data (2010-2024). A composite resilience index was constructed using principal component analysis (PCA) to compare agroecological and conventional systems. Results show that agroecological farms achieve a 23% higher soil fertility index, a 31% higher resilience capacity, and a 17% reduction in yield variability under climate stress, relative to conventional systems. Crop diversification is 28% higher among agroecological producers, while dependence on synthetic inputs declines by up to 40%, improving system stability and adaptive capacity. Despite these benefits, scaling remains constrained by limited access to climate information services (reported by 35% of respondents), weak extension coverage (30%), and low access to climate finance (20%). The study concludes that agroecology provides a robust, evidence-based pathway for scaling CSA in Benin, and that strengthening digital climate services, extension systems and inclusive climate finance is critical to accelerate resilient and sustainable agricultural transformation in West Africa.","气候智慧型农业（Climate-Smart Agriculture, CSA）被广泛推广以应对撒哈拉以南非洲的粮食不安全、气候变异和环境退化问题。然而，关于小农系统中可规模化且因地制宜的CSA采纳路径的证据仍然有限，尤其是在农业生态转型方面。本研究评估了农业生态学作为贝宁三个市镇（Dassa-Zoumè、Bohicon和Parakou）推广CSA和增强粮食系统韧性的路径，考察其对CSA三大支柱——适应、减缓和生产力——的贡献。研究采用混合方法设计，结合了结构化农户调查（n = 210）、关键信息人半结构化访谈（n = 32）以及二手农业和气候数据（2010—2024年）。通过主成分分析（PCA）构建了综合韧性指数，以比较农业生态体系与常规体系。结果表明，相较于常规体系，农业生态农场实现了更高的土壤肥力指数（提高23%）、更强的韧性能力（提高31%），并在气候胁迫下将产量变异性降低了17%。农业生态生产者的作物多样化程度高出28%，而对合成投入品的依赖下降了多达40%，从而提升了系统稳定性和适应能力。尽管有这些益处，规模化推广仍受到气候信息服务获取有限（35%的受访者报告）、推广覆盖薄弱（30%）以及气候融资获取不足（20%）的制约。研究结论认为，农业生态学为在贝宁推广CSA提供了一条稳健的、基于证据的路径，而加强数字气候服务、推广体系和包容性气候融资对于加速西非韧性和可持续农业转型至关重要。","Agriculture, Food, and Natural Resources Journal","2026-10-01T00:00:00Z",40,77,{"impact":402,"substance":148,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":403},16,"基于贝宁三省210户调查的混合方法研究，量化了生态农业对气候智慧型农业三大支柱的贡献，数据扎实、结论明确，对西非及类似小农体系有参考价值，但属区域性学术成果，公共影响层级有限。",[405,406,408],{"name":397,"url":394},{"name":397,"url":407},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23087821",{"name":397,"url":409},"https:\u002F\u002Fjournals.unizik.edu.ng\u002Findex\u002Farticle\u002Fview\u002F9044",[27,411,412,413,414],"气候智慧型农业","生态农业","粮食系统韧性","气候信息服务",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":418},{"candidates":419,"agricultural_evidence":51},[420,424,429,433,437,441],{"code":40,"score":322,"supported":51,"title":421,"abstract":422,"tags":423},[64],[62,64],[],{"code":90,"score":425,"supported":51,"title":426,"abstract":427,"tags":428},11,[363],[363],[],{"code":67,"score":83,"supported":51,"title":430,"abstract":431,"tags":432},[],[71,72],[],{"code":97,"score":98,"supported":51,"title":434,"abstract":435,"tags":436},[],[101],[27],{"code":33,"score":98,"supported":51,"title":438,"abstract":439,"tags":440},[],[154],[412],{"code":75,"score":22,"supported":14,"title":442,"abstract":443,"tags":444},[],[],[411],[446,447],"贝宁 生态农业 气候智慧型农业","西非 小农户 粮食系统韧性","贝宁生态农业气候智慧型农业-4008","10.5281\u002Fzenodo.23087822",{"doi":449,"openalex_id":451,"authors":452,"venue":397,"cited_by_count":127,"oa_url":394,"card":455,"direction":190,"ingested_from":135},"W7215033617",[453],{"name":454,"orcid":9},"Maanzou Boukari",{"tldr":456,"method":457,"finding":458,"direction":132,"opportunity":459},"评估贝宁农业生态学作为气候智慧型农业推广路径，提升食物系统韧性。","混合方法：210户调查、32位关键信息人访谈、2010-2024年数据及PCA韧","农业生态农场土壤肥力高23%、韧性高31%、产量波动低17%，但推广受气候信息、推广服务和资金限制。","可研究数字气候信息服务与包容性气候融资如何协同破解农业生态转型的推广瓶颈。","2026-10-02T23:30:11.597021Z",{"id":462,"title":463,"url":464,"summary":465,"summary_zh":466,"content":9,"source_name":467,"source_url":464,"published_at":468,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":469,"score_detail":470,"sources":472,"tags":474,"primary_topic":479,"secondary_topics":482,"classification":484,"search_phrases":524,"slug":527,"view_count":22,"doi":528,"paper":529,"created_at":564},3756,"Improving soil carbon stabilization within conservation agriculture: An adaptive framework","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104980","CONTEXT Conservation agriculture (CA) is widely promoted for improving soil ecosystem services, including erosion reduction, water conservation, and soil health. Its contribution to soil organic carbon (SOC) restoration, however, is variable, often modest and concentrated near the surface and strongly dependent on climate, soil, residue management and cropping system. OBJECTIVE To examine why SOC stabilization under CA is limited in some systems and to propose an adaptive framework that increases the probability that crop-residue carbon (CR-C) and root-derived C are converted into more stable SOC pools. METHODS We synthesize evidence on CR-C fate, root-derived C, SOC fractions, nutrient stoichiometry and soil-profile placement, under CA and organize this evidence into a diagnosis-based adaptive framework that links intervention choice with evidence strength, operational feasibility and trade-offs. RESULTS AND CONCLUSIONS A central limitation is the low but highly variable conversion of aboveground CR-C into stabilized SOC, governed by soil texture, mineralogy, climate, residue quality, nutrient availability, rooting depth and time since CA adoption. We propose an adaptive CA framework with six optional, evidence-graded interventions triggered by diagnosed SOC-stabilization bottlenecks: (1) residue retention thresholds to avoid a “problem of plenty”; (2) conditional strategic soil disturbance for compaction, surface stratification and C placement; (3) companion crops that improve residue amount, quality and root inputs; (4) breeding and selection for root traits for deeper C delivery and SOC stabilization; (5) fertilization strategies that better align decomposition with microbial stoichiometric needs while considering trade-offs; and (6) fungal consortia to accelerate lignocellulose breakdown where field conditions support residue turnover without increasing C losses. Together these interventions provide an adaptive extension of CA that can improve the likelihood of measurable and more durable SOC stabilization where specific bottlenecks are diagnosed. SIGNIFICANCE Options exist to strengthen the SOC-stabilization component of CA where site-specific bottlenecks are present, while explicitly considering feasibility, costs, trade-offs and the need for empirical validation through long-term monitoring of whole-profile SOC stocks and greenhouse-gas outcomes.","背景 保护性农业（conservation agriculture, CA）被广泛推广以改善土壤生态系统服务，包括减少侵蚀、保持水分和促进土壤健康。然而，其对土壤有机碳（soil organic carbon, SOC）恢复的贡献具有变异性，通常较为有限，且集中于表层，并高度依赖气候、土壤、秸秆管理和种植制度。目的 探讨保护性农业下SOC稳定化在某些系统中受限的原因，并提出一个适应性框架，以提高作物秸秆碳（crop-residue carbon, CR-C）和根系来源碳转化为更稳定SOC库的概率。方法 我们综合了保护性农业下关于作物秸秆碳去向、根系来源碳、SOC组分、养分化学计量学及土壤剖面分布的证据，并将这些证据组织为一个基于诊断的适应性框架，将干预措施选择与证据强度、操作可行性和权衡取舍相联系。结果与结论 一个核心局限在于地上作物秸秆碳向稳定化SOC的转化率低且高度可变，受土壤质地、矿物学、气候、秸秆质量、养分有效性、根系深度及保护性农业采用时间等因素调控。我们提出了一个适应性保护性农业框架，包含六项可选的、按证据分级排序的干预措施，由诊断出的SOC稳定化瓶颈所触发：（1）秸秆还田阈值以避免“过多的问题”；（2）针对压实、表层分层和碳 placement 的条件性战略土壤扰动；（3）改善秸秆数量、质量和根系输入的伴生作物；（4）选育和筛选根系性状以实现更深层的碳输送和SOC稳定化；（5）施肥策略，在考虑权衡取舍的同时更好地使分解过程与微生物化学计量需求相匹配；（6）在田间条件支持秸秆周转且不增加碳损失的情况下，利用真菌菌群加速木质纤维素分解。这些干预措施共同构成了保护性农业的适应性延伸，在诊断出特定瓶颈的情况下，可提高实现可测量且更持久SOC稳定化的可能性。意义 在存在特定地点瓶颈的情况下，现有方案可强化保护性农业的SOC稳定化功能，同时需明确考虑可行性、成本、权衡取舍，以及通过长期监测全剖面SOC储量和温室气体排放结果进行实证验证的必要性。","Agricultural Systems","2026-09-28T00:00:00Z",79,{"impact":402,"substance":148,"depth":19,"authority":322,"freshness":58,"relevant":22,"comment":471},"该研究提出基于诊断的保护性农业自适应框架，为提升土壤有机碳稳定提供可操作路径，专业深度与信息增量突出，值得进入每日精选。",[473],{"name":467,"url":464},[475,29,476,477,478],"保护性农业","农业碳汇","土壤固碳","根际性状",{"code":67,"slug":72,"name":480,"path":481,"parent_code":37},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[483],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":485},{"candidates":486,"agricultural_evidence":51},[487,491,495,502,509,515,519],{"code":67,"score":402,"supported":51,"title":488,"abstract":489,"tags":490},[72],[71,72],[29,477],{"code":33,"score":149,"supported":51,"title":492,"abstract":493,"tags":494},[55],[55],[475],{"code":496,"score":83,"supported":51,"title":497,"abstract":498,"tags":501},"B7",[],[499,500],"温室","greenhouse",[],{"code":503,"score":83,"supported":51,"title":504,"abstract":505,"tags":508},"F3",[],[506,507],"施肥","fertilization",[],{"code":510,"score":105,"supported":51,"title":511,"abstract":512,"tags":514},"H5",[],[513],"秸秆还田",[],{"code":40,"score":105,"supported":51,"title":516,"abstract":517,"tags":518},[],[63],[],{"code":520,"score":22,"supported":14,"title":521,"abstract":522,"tags":523},"H4",[],[],[476],[525,526],"保护性农业 土壤有机碳 固碳","保护性农业 根际性状 碳稳定","保护性农业土壤有机碳固碳-3756","10.1016\u002Fj.agsy.2026.104980",{"doi":528,"openalex_id":530,"authors":531,"venue":467,"cited_by_count":127,"oa_url":464,"card":559,"direction":132,"ingested_from":135},"W7214662811",[532,535,538,540,543,546,548,551,554,557],{"name":533,"orcid":534},"Anupam Das","https:\u002F\u002Forcid.org\u002F0000-0001-6548-215X",{"name":536,"orcid":537},"Ashim Datta","https:\u002F\u002Forcid.org\u002F0000-0002-1843-9981",{"name":539,"orcid":9},"Samrat Ghosh",{"name":541,"orcid":542},"Sahely Kanthal","https:\u002F\u002Forcid.org\u002F0000-0001-6550-5227",{"name":544,"orcid":545},"Anwesha Mandal","https:\u002F\u002Forcid.org\u002F0009-0003-0113-211X",{"name":547,"orcid":9},"Dibyendu Sarkar",{"name":549,"orcid":550},"Probir Kumar Ghosh","https:\u002F\u002Forcid.org\u002F0000-0003-1580-5883",{"name":552,"orcid":553},"Richard William Bell","https:\u002F\u002Forcid.org\u002F0000-0002-7756-3755",{"name":555,"orcid":556},"Debashis Chakraborty","https:\u002F\u002Forcid.org\u002F0000-0001-9664-8095",{"name":558,"orcid":9},"Biswapati Mandal",{"tldr":560,"method":561,"finding":562,"direction":132,"opportunity":563},"提出诊断式自适应保护性农业框架，提升秸秆与根系碳向稳定土壤有机碳的转化。","综合秸秆碳去向、根系碳、有机碳组分与养分化学计量证据，构建六项分级干预框架。","保护性农业固碳受质地、气候、残体质量等制约，需按诊断瓶颈选择干预以提升稳定性。","可针对不同土壤-气候区量化各干预的固碳效率与权衡，并开展全剖面长期监测验证。","2026-09-29T23:30:04.622148Z"]