[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3352":3,"related-3352":120},{"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,"primary_topic":34,"secondary_topics":40,"classification":41,"search_phrases":97,"slug":100,"view_count":101,"doi":102,"paper":103,"created_at":119},3352,"Agricultural Productivity under Climate Change and the Dynamics of Rural Economic Resilience: Adaptation Pathways from Farms to Households and Territories","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22925809","This paper examines the relationship between climate change, agricultural productivity, and rural economic resilience by integrating evidence on climatic pressures, farm-level adaptation, and broader rural transformation. Climate change affects agricultural production through rising temperatures, heat stress, rainfall variability, drought, water scarcity, soil degradation, pests, and other interacting environmental pressures. These effects are transmitted beyond crop yields through farm income, employment, food security, agricultural value chains, and the economic stability of rural territories. The paper shows that agricultural resilience depends on farmers’ capacity to adopt complementary adaptation strategies, including crop diversification, improved soil management, climate-smart agriculture, water-management technologies, climate information, agricultural insurance, and other risk-management mechanisms. At the household level, livelihood diversification, migration, entrepreneurship, access to productive assets, and institutional support can reduce dependence on climate-sensitive agricultural activities. At the territorial level, resilient agricultural value chains, market access, infrastructure, local product valorization, and non-farm employment contribute to absorbing and adapting to climatic disturbances. The analysis therefore approaches resilience as a multidimensional process connecting agricultural productivity, household adaptive capacity, food security, and rural economic transformation. The findings suggest that effective climate adaptation requires coordinated interventions combining productive, financial, institutional, social, and territorial mechanisms rather than isolated technological responses","本文通过整合气候压力、农场层面适应以及更广泛的农村转型等方面的证据，考察了气候变化、农业生产率与农村经济韧性之间的关系。气候变化通过气温上升、热应激、降雨变率、干旱、水资源短缺、土壤退化、病虫害及其他相互作用的环境压力影响农业生产。这些影响超越作物产量，经由农场收入、就业、粮食安全、农业价值链以及农村地域的经济稳定等渠道传导。本文表明，农业韧性取决于农民采取互补性适应策略的能力，包括作物多样化、改善土壤管理、气候智慧型农业、水资源管理技术、气候信息、农业保险及其他风险管理机制。在农户层面，生计多样化、迁移、创业、生产性资产获取以及制度支持能够降低对气候敏感型农业活动的依赖。在地域层面，具有韧性的农业价值链、市场准入、基础设施、本地产品增值以及非农就业有助于吸收和适应气候扰动。因此，本分析将韧性视为一个多维过程，连接农业生产率、农户适应能力、粮食安全与农村经济转型。研究结果表明，有效的气候适应需要将生产性、金融性、制度性、社会性和地域性机制相结合的协调干预，而非孤立的技术应对措施。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-23T00:00:00Z","论文",25,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,20,17,13,9,1,"系统梳理气候变化下农业生产力与农村经济韧性的多层次适应路径，结论具政策参考价值，但属综述性论文，非突破性成果。",[25,26],{"name":10,"url":6},{"name":10,"url":27},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22925808",[29,30,31,32,33],"乡村振兴","农业韧性","农业保险","气候变化","气候智慧农业",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":42,"locked":14,"version":43,"method":44,"evidence":45},"classified","2026-10-22.2","rules",{"candidates":46,"agricultural_evidence":49},[47,57,64,72,79,86,92],{"code":35,"score":48,"supported":49,"title":50,"abstract":52,"tags":56},19,true,[51],"climate change",[32,53,54,51,55],"气候适应","干旱","drought",[32,33],{"code":58,"score":59,"supported":49,"title":60,"abstract":61,"tags":63},"G3",7,[],[31,62],"agricultural insurance",[31],{"code":65,"score":66,"supported":49,"title":67,"abstract":68,"tags":71},"A8",6,[],[69,70],"粮食安全","food security",[],{"code":73,"score":66,"supported":49,"title":74,"abstract":75,"tags":78},"H2",[],[76,77],"土壤","soil",[],{"code":80,"score":81,"supported":49,"title":82,"abstract":83,"tags":85},"H3",3,[],[84],"水资源",[],{"code":87,"score":81,"supported":49,"title":88,"abstract":89,"tags":91},"I1",[],[90],"smart agriculture",[],{"code":93,"score":22,"supported":14,"title":94,"abstract":95,"tags":96},"G",[],[],[29],[98,99],"气候智慧农业 适应路径","农业韧性 农村经济","气候智慧农业适应路径-3352",5,"10.5281\u002Fzenodo.22925809",{"doi":102,"openalex_id":104,"authors":105,"venue":10,"cited_by_count":110,"oa_url":6,"card":111,"direction":117,"ingested_from":118},"W7214087966",[106,108],{"name":107,"orcid":9},"Naledi Ncube",{"name":109,"orcid":9},"Rudo Marashe",0,{"tldr":112,"method":113,"finding":114,"direction":115,"opportunity":116},"综述气候变化下农业生产力与农村经济韧性的多维适应路径。","整合气候压力、农场适应与农村转型的文献证据分析。","有效适应需生产、金融、制度、社会与区域机制协同而非单一技术。","农业绿色发展与碳","可量化农户—区域多层级适应组合的协同效应与韧性阈值。","智慧农业 \u002F 农业物联网","openalex","2026-09-24T23:30:10.179607Z",{"total":66,"page":22,"page_size":66,"items":121},[122,206,304,381,485,569],{"id":123,"title":124,"url":125,"summary":126,"summary_zh":127,"content":9,"source_name":128,"source_url":125,"published_at":129,"category":12,"cover_url":9,"hotness":130,"is_selected":14,"score":131,"score_detail":132,"sources":135,"tags":137,"primary_topic":140,"secondary_topics":141,"classification":142,"search_phrases":182,"slug":185,"view_count":186,"doi":187,"paper":188,"created_at":205},2769,"Climate change impacts and resilience pathways in somalia through a systematic review","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs42452-026-09538-5","Somalia is among the most climate-vulnerable countries worldwide, characterized by predominantly arid and semi-arid regions increasingly affected by recurrent droughts, irregular precipitation, rising temperatures, land degradation, and water scarcity, all of which compromise livelihoods, food security, and socio-economic stability. This study addresses the limited synthesis of recent, spatially explicit evidence on climate change impacts in Somalia by bringing together current literature and institutional reports to analyze the effects of climate change and identify adaptation and resilience strategies The review is entirely desk-based and utilizes 30 secondary data articles from reputable sources such as FAO-SWALIM, the World Bank, ICPAC, FSNAU, USAID, and peer-reviewed research articles from Scopus and web of science published from 2008 to 2025. The results showed that over 60% of Somalia’s territory is categorized as arid or hyper-arid, with the southern parts seeing the most acute soil erosion and environmental deterioration. Significant drought occurrences, especially in 2010–2011 and 2016–2017, were greatly impacted by extensive climatic factors including ENSO and the Indian Ocean Dipole. Climate variability has resulted in reduced crop yields, pasture degradation, livestock mortality, persistent water shortages, and extensive food insecurity, while inadequate governance, restricted climate financing, and deficient early-warning and monitoring systems hinder effective adaptation. The review emphasizes that climate change presents a systemic threat to Somalia’s environmental and livelihood systems, highlighting the necessity for integrated, spatially informed strategies that incorporate GIS-based environmental monitoring, sustainable land and water management, climate-smart agriculture, strengthened institutions, and enhanced access to climate finance to support long-term resilience and sustainable development.","索马里是全球最易受气候变化影响的国家之一，其国土以干旱和半干旱地区为主，日益受到反复出现的干旱、降水不规律、气温上升、土地退化及水资源短缺的影响，这些问题共同威胁着生计、粮食安全和社会经济稳定。本研究针对索马里气候变化影响近期空间明确证据综合不足的问题，汇集当前文献和机构报告，分析气候变化的影响并识别适应与韧性策略。本综述完全基于案头研究，使用了来自FAO-SWALIM、世界银行、ICPAC、FSNAU、USAID等知名来源的30篇二手数据文献，以及2008年至2025年间发表于Scopus和Web of Science的同行评审研究论文。结果表明，索马里超过60%的领土被归类为干旱或极度干旱，南部地区土壤侵蚀和环境退化最为严重。重大干旱事件，尤其是2010—2011年和2016—2017年的干旱，受到包括厄尔尼诺-南方涛动（ENSO）和印度洋偶极子（IOD）在内的广泛气候因素的显著影响。气候变率导致作物减产、牧场退化、牲畜死亡、持续的水资源短缺和大范围的粮食不安全，而治理不足、气候融资受限以及预警和监测系统薄弱则阻碍了有效适应。本综述强调，气候变化对索马里的环境和生计系统构成系统性威胁，凸显了采取综合性、空间信息化策略的必要性，这些策略应包括基于GIS的环境监测、可持续土地和水资源管理、气候智慧型农业、强化制度以及增强气候融资渠道，以支持长期韧性和可持续发展。","Discover Applied Sciences","2026-09-16T00:00:00Z",10,76,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":133,"relevant":22,"comment":134},8,"系统综述整合2008-2025年30篇文献，揭示索马里干旱与粮食安全影响并提出GIS监测与气候智慧农业等韧性路径，对干旱区农业信息化有参考价值。",[136],{"name":128,"url":125},[69,32,33,138,139],"遥感监测","干旱监测",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":14,"version":43,"method":44,"evidence":143},{"candidates":144,"agricultural_evidence":49},[145,149,153,157,163,167,171,177],{"code":35,"score":18,"supported":49,"title":146,"abstract":147,"tags":148},[51],[32,54,51,55],[139,32,33],{"code":65,"score":59,"supported":49,"title":150,"abstract":151,"tags":152},[],[69,70],[69],{"code":73,"score":66,"supported":49,"title":154,"abstract":155,"tags":156},[],[76,77],[],{"code":158,"score":81,"supported":49,"title":159,"abstract":160,"tags":162},"C",[],[161],"livestock",[],{"code":80,"score":81,"supported":49,"title":164,"abstract":165,"tags":166},[],[84],[],{"code":87,"score":81,"supported":49,"title":168,"abstract":169,"tags":170},[],[90],[],{"code":172,"score":81,"supported":49,"title":173,"abstract":174,"tags":176},"I4",[],[175],"GIS",[],{"code":178,"score":22,"supported":14,"title":179,"abstract":180,"tags":181},"I3",[],[],[138],[183,184],"气候智慧农业 干旱监测 气候变化 粮食安全","气候智慧农业 干旱监测","气候智慧农业干旱监测气候变化粮食安全-2769",2,"10.1007\u002Fs42452-026-09538-5",{"doi":187,"openalex_id":189,"authors":190,"venue":128,"cited_by_count":110,"oa_url":125,"card":200,"direction":117,"ingested_from":118},"W7213257664",[191,193,195,198],{"name":192,"orcid":9},"Abdiaziz Hassan Nur",{"name":194,"orcid":9},"Mohamed Osman Abdulkadir",{"name":196,"orcid":197},"Omar Ali","https:\u002F\u002Forcid.org\u002F0009-0001-3009-1850",{"name":199,"orcid":9},"Ahmed Sodal Asir",{"tldr":201,"method":202,"finding":203,"direction":115,"opportunity":204},"系统综述索马里气候变化影响与韧性路径，基于30篇文献与机构报告。","文献综述，采用FAO-SWALIM、世行等2008-2025年30篇二手数据。","超60%国土干旱，干旱致减产、缺水与粮食不安全，治理与预警不足阻碍适应。","可结合GIS与遥感构建索马里干旱预警和气候智慧型农业适应决策模型。","2026-09-17T23:30:10.557669Z",{"id":207,"title":208,"url":209,"summary":210,"summary_zh":211,"content":9,"source_name":212,"source_url":209,"published_at":213,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":214,"score_detail":215,"sources":218,"tags":222,"primary_topic":224,"secondary_topics":229,"classification":231,"search_phrases":288,"slug":291,"view_count":22,"doi":292,"paper":293,"created_at":303},1721,"Climate-Smart Agriculture for Sustainable Food Security","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22301142","Climate change is creating serious challenges for agriculture and food security, particularly for rural and smallholder farming communities. Rising temperatures, irregular rainfall, droughts, floods, water scarcity, soil degradation and biodiversity loss can reduce agricultural productivity and affect rural livelihoods. Climate-Smart Agriculture (CSA) provides an integrated approach to address these challenges by improving agricultural productivity, strengthening resilience to climate change and promoting sustainable management of natural resources. This study examines the role of CSA in achieving sustainable food security from a global perspective. The study adopts a descriptive and analytical research design based on secondary data collected from the Food and Agriculture Organization (FAO), World Bank, Intergovernmental Panel on Climate Change (IPCC), United Nations and other published sources. The study covers the period 2019–2025 and reviews major CSA practices, including conservation agriculture, water-smart agriculture, climate-resilient crop varieties, agroforestry, integrated crop-livestock systems and digital agriculture. The findings indicate that CSA can improve agricultural productivity, farmer income, climate resilience, nutritional security and resource conservation. However, limited climate finance, high technology costs, smallholder constraints, digital inequality, weak extension services and policy gaps continue to restrict adoption. The study recommends stronger financial support, affordable technologies, improved extension services and farmer-centred policies to promote inclusive CSA and strengthen sustainable food security.","气候变化正给农业和粮食安全带来严峻挑战，尤其对农村和小农社区影响深远。气温升高、降雨不规律、干旱、洪涝、水资源短缺、土壤退化和生物多样性丧失，均可能降低农业生产力，并影响农村生计。气候智能型农业（Climate-Smart Agriculture, CSA）提供了一种综合性应对方案，通过提升农业生产力、增强对气候变化的适应能力以及促进自然资源的可持续管理，来应对上述挑战。本研究从全球视角探讨了CSA在实现可持续粮食安全中的作用。研究采用描述性与分析性相结合的研究设计，基于从联合国粮食及农业组织（FAO）、世界银行、政府间气候变化专门委员会（IPCC）、联合国及其他公开来源收集的二手数据展开分析。研究覆盖2019—2025年期间，并梳理了主要的CSA实践，包括保护性农业、节水型农业、气候适应性作物品种、农林业、种养结合系统以及数字农业。研究结果表明，CSA能够提升农业生产力、增加农民收入、增强气候韧性、改善营养安全并促进资源保护。然而，气候融资有限、技术成本高昂、小农面临诸多制约、数字鸿沟、推广服务薄弱以及政策缺口，仍持续限制着CSA的推广应用。研究建议加强资金支持、推动技术可负担化、完善推广服务并制定以农民为中心的政策，以促进包容性CSA发展，进而强化可持续粮食安全。","International Journal for Research Trends in Social Science & Humanities.","2026-09-04T00:00:00Z",66,{"impact":17,"substance":18,"depth":216,"authority":130,"freshness":186,"relevant":22,"comment":217},16,"全球视角综述CSA实践与挑战，数据较新，但时效性低，适合作为背景参考。",[219,220],{"name":212,"url":209},{"name":212,"url":221},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22301141",[69,30,33,223],"小农",{"code":65,"slug":225,"name":226,"path":227,"parent_code":228},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[230],{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},{"status":42,"locked":14,"version":43,"method":44,"evidence":232},{"candidates":233,"agricultural_evidence":49},[234,240,245,251,255,262,266,272,276,282],{"code":87,"score":19,"supported":49,"title":235,"abstract":236,"tags":239},[90],[237,90,238],"数字农业","digital agriculture",[],{"code":65,"score":241,"supported":49,"title":242,"abstract":243,"tags":244},15,[70],[69,70],[69],{"code":35,"score":130,"supported":49,"title":246,"abstract":247,"tags":250},[],[32,53,54,248,51,249],"洪涝","climate resilience",[33],{"code":73,"score":66,"supported":49,"title":252,"abstract":253,"tags":254},[],[76,77],[],{"code":256,"score":66,"supported":49,"title":257,"abstract":258,"tags":261},"H6",[],[259,260],"生物多样性","biodiversity",[],{"code":158,"score":81,"supported":49,"title":263,"abstract":264,"tags":265},[],[161],[],{"code":267,"score":81,"supported":49,"title":268,"abstract":269,"tags":271},"G2",[],[270],"smallholder",[],{"code":80,"score":81,"supported":49,"title":273,"abstract":274,"tags":275},[],[84],[],{"code":277,"score":81,"supported":49,"title":278,"abstract":279,"tags":281},"H8",[],[280],"conservation agriculture",[],{"code":283,"score":81,"supported":49,"title":284,"abstract":285,"tags":287},"I6",[],[286],"数字鸿沟",[],[289,290],"气候智慧农业 农业韧性 粮食安全 小农","气候智慧农业 农业韧性","气候智慧农业农业韧性粮食安全小农-1721","10.5281\u002Fzenodo.22301142",{"doi":292,"openalex_id":294,"authors":295,"venue":212,"cited_by_count":110,"oa_url":209,"card":298,"direction":117,"ingested_from":118},"W7208735871",[296],{"name":297,"orcid":9},"N. Thilagavathi",{"tldr":299,"method":300,"finding":301,"direction":115,"opportunity":302},"综述气候智慧农业（CSA）对可持续粮食安全的作用，分析其效益与推广障碍。","基于FAO、世界银行等二手数据，采用描述性和分析性研究设计，覆盖2019-202","CSA能提升生产力、韧性、营养与资源保护，但受资金、技术、小农限制等制约。","可研究数字农业如何降低CSA技术成本，或设计针对小农的普惠金融与政策机制以促进采纳。","2026-09-05T23:30:09.026027Z",{"id":305,"title":306,"url":307,"summary":308,"summary_zh":309,"content":9,"source_name":310,"source_url":307,"published_at":311,"category":12,"cover_url":9,"hotness":130,"is_selected":49,"score":312,"score_detail":313,"sources":318,"tags":320,"primary_topic":325,"secondary_topics":330,"classification":332,"search_phrases":360,"slug":363,"view_count":110,"doi":364,"paper":365,"created_at":380},5569,"A four-decadal (1981–2024) quality-assured ground-based soybean phenology dataset from Northeast China: a FAIR-compliant resource for climate impact and agricultural adaptation studies","https:\u002F\u002Fdoi.org\u002F10.1080\u002F20964471.2026.2735138","Although satellite remote sensing has been widely used to monitor land surface phenology, long-term, high-quality ground-based observations are essential for validating and calibrating these products, particularly for understanding agricultural ecosystem responses to climate change. However, such ground-truth datasets remain scarce, limiting the full potential of Earth system data applications. Here we present a comprehensive ground-based soybean phenology dataset for Northeast China, a region critical to national food security. The dataset integrates historical paper-based logs (1980s–1990s) with modern electronic records (2000s onwards) from 43 national agrometeorological stations operated by the China Meteorological Administration (CMA), spanning a 15° latitudinal gradient (38–53°N) across Heilongjiang, Jilin, and Liaoning provinces over 44 years (1981–2024). It provides the timing (day of year, DOY) of eight key phenophases (sowing, emergence, three-leaf, branching, flowering, pod formation, seed filling, maturity) and the durations of six intervening growth intervals. A multi-tiered quality assurance framework combining automated consistency checks, statistical outlier detection, and expert arbitration against agronomic principles and auxiliary climate data ensures high data integrity and completeness (>99%; paper era: 93.8%; electronic era: 98.1%). To facilitate reuse, we provide pre-computed kernel density estimates (probability distributions) and univariate linear regression trends for each station and phenological variable, along with 656 diagnostic plots. The dataset is openly available in the Science Data Bank under a CC BY 4.0 license as primary data tables (XLSX) and diagnostic plots (JPEG, 1200 dpi) (https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245). As a long-term, spatially explicit, FAIR-compliant ground-truth resource, this dataset is valuable for validating satellite-derived phenology products, calibrating crop modules, and investigating climate-driven impacts on agricultural systems.","尽管卫星遥感已被广泛用于监测地表物候，但长期、高质量的地面观测对于验证和校准这些产品至关重要，尤其是对于理解农业生态系统对气候变化的响应而言。然而，此类地面真值数据集仍然稀缺，限制了地球系统数据应用潜力的充分发挥。本文介绍了一套面向中国东北地区的综合性大豆物候地面数据集，该地区对国家粮食安全至关重要。该数据集整合了中国气象局（CMA）运营的43个国家农业气象站的历史纸质记录（20世纪80—90年代）与现代电子记录（2000年代至今），覆盖黑龙江、吉林和辽宁三省跨越15°纬度梯度（38—53°N）、时间跨度44年（1981—2024年）。数据集提供了8个关键物候期（播种、出苗、三叶、分枝、开花、结荚、鼓粒、成熟）的发生时间（年积日，DOY）以及6个中间生长间隔的持续时间。一套多层质量保证框架结合了自动一致性检查、统计异常值检测以及依据农学原理和辅助气候数据进行的专家仲裁，确保了高数据完整性和完整性（>99%；纸质时代：93.8%；电子时代：98.1%）。为便于重复使用，我们提供了每个站点和物候变量的预计算核密度估计（概率分布）和单变量线性回归趋势，以及656幅诊断图。该数据集以CC BY 4.0许可在Science Data Bank公开提供，包括主数据表（XLSX）和诊断图（JPEG，1200 dpi）（https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245）。作为一个长期、空间明确、符合FAIR原则的地面真值资源，该数据集对于验证卫星反演的物候产品、校准作物模块以及研究气候驱动对农业系统的影响具有重要价值。","Big Earth Data","2026-10-21T00:00:00Z",89,{"impact":314,"substance":315,"depth":48,"authority":316,"freshness":130,"relevant":22,"comment":317},22,24,14,"覆盖东北44年、43站的大豆物候地面观测数据集，质控严格且FAIR开放，对遥感验证与气候影响研究有实质价值，值得入选。",[319],{"name":310,"url":307},[321,32,322,323,324],"大豆","东北农业","物候数据","遥感验证",{"code":326,"slug":327,"name":328,"path":329,"parent_code":228},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds",[331],{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},{"status":42,"locked":14,"version":43,"method":44,"evidence":333},{"candidates":334,"agricultural_evidence":49},[335,340,345,349,355],{"code":326,"score":241,"supported":49,"title":336,"abstract":338,"tags":339},[337],"soybean",[321,337],[321],{"code":35,"score":130,"supported":49,"title":341,"abstract":342,"tags":344},[],[32,343,51],"农业气象",[32],{"code":65,"score":66,"supported":49,"title":346,"abstract":347,"tags":348},[],[69,70],[],{"code":178,"score":66,"supported":49,"title":350,"abstract":351,"tags":354},[],[352,353],"遥感","remote sensing",[],{"code":256,"score":81,"supported":49,"title":356,"abstract":357,"tags":359},[],[358],"农业生态",[],[361,362],"东北 大豆 物候 数据集","大豆 物候 遥感 验证","东北大豆物候数据集-5569","10.1080\u002F20964471.2026.2735138",{"doi":364,"openalex_id":366,"authors":367,"venue":310,"cited_by_count":110,"oa_url":307,"card":374,"direction":378,"ingested_from":118},"W7223091615",[368,371],{"name":369,"orcid":370},"Quanjun Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6087-3928",{"name":372,"orcid":373},"Dongli Wu","https:\u002F\u002Forcid.org\u002F0000-0003-1676-2264",{"tldr":375,"method":376,"finding":377,"direction":378,"opportunity":379},"发布东北大豆1981–2024年44年地面物候数据集，含8个物候期与6个间隔期。","整合43个农气站纸质与电子记录，经自动校验、统计离群检测和专家仲裁质控。","数据完整度超99%，并提供核密度分布、线性趋势与656张诊断图。","农业遥感与作物表型","可基于该地面真值校准遥感物候产品与作物模型，量化气候变化对大豆物候的影响。","2026-10-22T11:20:39.146445Z",{"id":382,"title":383,"url":384,"summary":385,"summary_zh":386,"content":9,"source_name":387,"source_url":384,"published_at":388,"category":12,"cover_url":9,"hotness":130,"is_selected":14,"score":214,"score_detail":389,"sources":392,"tags":394,"primary_topic":398,"secondary_topics":399,"classification":407,"search_phrases":456,"slug":459,"view_count":110,"doi":460,"paper":461,"created_at":484},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","Kashmir Journal of Academic Research and Development","2026-10-20T00:00:00Z",{"impact":20,"substance":17,"depth":241,"authority":390,"freshness":133,"relevant":22,"comment":391},12,"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[393],{"name":387,"url":384},[32,395,138,396,397],"盐碱地治理","智慧灌溉","土壤盐渍化",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[400,403],{"code":73,"slug":77,"name":401,"path":402,"parent_code":39},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":80,"slug":404,"name":405,"path":406,"parent_code":39},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":42,"locked":14,"version":43,"method":44,"evidence":408},{"candidates":409,"agricultural_evidence":49},[410,414,418,424,428,432,438,444,450],{"code":35,"score":17,"supported":49,"title":411,"abstract":412,"tags":413},[51],[32,53,54,51],[32],{"code":73,"score":241,"supported":49,"title":415,"abstract":416,"tags":417},[77],[76,77],[395],{"code":80,"score":130,"supported":49,"title":419,"abstract":420,"tags":423},[],[421,84,404,422],"灌溉","evapotranspiration",[396],{"code":178,"score":59,"supported":49,"title":425,"abstract":426,"tags":427},[],[352,353],[138],{"code":65,"score":66,"supported":49,"title":429,"abstract":430,"tags":431},[],[69,70],[],{"code":87,"score":66,"supported":49,"title":433,"abstract":434,"tags":437},[],[435,436],"精准农业","precision agriculture",[],{"code":172,"score":66,"supported":49,"title":439,"abstract":440,"tags":443},[],[441,442],"地理信息","geographic information",[],{"code":445,"score":81,"supported":49,"title":446,"abstract":447,"tags":449},"F3",[],[448],"养分管理",[],{"code":451,"score":81,"supported":49,"title":452,"abstract":453,"tags":455},"J1",[],[454],"农业政策",[],[457,458],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":460,"openalex_id":462,"authors":463,"venue":387,"cited_by_count":110,"oa_url":384,"card":479,"direction":378,"ingested_from":118},"W7222999158",[464,466,468,470,472,474,477],{"name":465,"orcid":9},"Asifa Naz",{"name":467,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":469,"orcid":9},"Syed Asghar Hussain Shah",{"name":471,"orcid":9},"Shahrish Nawaz",{"name":473,"orcid":9},"Muhmmad Irfan",{"name":475,"orcid":476},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":478,"orcid":9},"Muhammad Nouman Khalid",{"tldr":480,"method":481,"finding":482,"direction":378,"opportunity":483},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z",{"id":486,"title":487,"url":488,"summary":489,"summary_zh":490,"content":9,"source_name":491,"source_url":488,"published_at":388,"category":12,"cover_url":9,"hotness":130,"is_selected":14,"score":492,"score_detail":493,"sources":495,"tags":497,"primary_topic":501,"secondary_topics":502,"classification":508,"search_phrases":546,"slug":549,"view_count":110,"doi":550,"paper":551,"created_at":568},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations",55,{"impact":133,"substance":17,"depth":241,"authority":66,"freshness":133,"relevant":22,"comment":494},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[496],{"name":491,"url":488},[69,498,33,499,500],"小农户","农业推广","津巴布韦",{"code":65,"slug":225,"name":226,"path":227,"parent_code":228},[503,507],{"code":267,"slug":504,"name":505,"path":506,"parent_code":93},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},{"status":42,"locked":14,"version":43,"method":44,"evidence":509},{"candidates":510,"agricultural_evidence":49},[511,515,519,523,529,536,542],{"code":65,"score":241,"supported":49,"title":512,"abstract":513,"tags":514},[70],[69,70],[69],{"code":267,"score":241,"supported":49,"title":516,"abstract":517,"tags":518},[270],[498,270],[498],{"code":35,"score":130,"supported":49,"title":520,"abstract":521,"tags":522},[],[32,54,51,55],[33],{"code":524,"score":59,"supported":49,"title":525,"abstract":526,"tags":528},"G1",[],[499,527],"agricultural extension",[499],{"code":530,"score":66,"supported":49,"title":531,"abstract":532,"tags":535},"A3",[],[533,534],"玉米","maize",[],{"code":58,"score":66,"supported":49,"title":537,"abstract":538,"tags":541},[],[539,540],"农村金融","rural finance",[],{"code":87,"score":81,"supported":49,"title":543,"abstract":544,"tags":545},[],[90],[],[547,548],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":550,"openalex_id":552,"authors":553,"venue":491,"cited_by_count":110,"oa_url":9,"card":562,"direction":117,"ingested_from":118},"W7223029383",[554,557,560],{"name":555,"orcid":556},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":558,"orcid":559},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":561,"orcid":9},"Patience Mutopo",{"tldr":563,"method":564,"finding":565,"direction":566,"opportunity":567},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","数字乡村与农业信息化","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","2026-10-21T23:30:08.937079Z",{"id":570,"title":571,"url":572,"summary":573,"summary_zh":574,"content":9,"source_name":575,"source_url":572,"published_at":388,"category":12,"cover_url":9,"hotness":130,"is_selected":14,"score":576,"score_detail":577,"sources":579,"tags":581,"primary_topic":586,"secondary_topics":587,"classification":588,"search_phrases":618,"slug":621,"view_count":110,"doi":622,"paper":623,"created_at":637},5473,"Can regional value-chain integration decouple China's agri-food export growth from production-side direct CO2 attributed to export domestic value added? Evidence from belt and road partner economies","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1977325","This study examines whether regional value-chain (RVC) integration can support agri-food export growth while improving the carbon performance of China's export sectors. We build a 2007–2023 bilateral country–industry–year panel for C01 agriculture, forestry, and fishing and C03 food processing across 39 economies currently classified as Belt and Road partners. Asian Development Bank multi-regional input–output tables identify bilateral value-added paths, while Chinese sectoral fossil-energy data and Intergovernmental Panel on Climate Change emission factors are used to measure production-side direct fossil-energy CO 2 attributed to export domestic value added. The analysis combines logarithmic mean Divisia index decomposition, fixed-effects models, an external shift-share instrument, value-chain configuration tests, and a within–between decomposition. Four findings stand out. First, long-run carbon-intensity improvement more than offsets cumulative scale and structural pressures. Second, the baseline fixed-effects and IV estimates show a negative overall association between RVC cooperation and absolute production-side direct CO 2 , and this relationship remains negative in post-2013 samples. Third, within established partner–industry relationships, deeper RVC is significantly associated with lower carbon per unit of exports, while the export-scale and absolute-carbon coefficients are statistically insignificant. Fourth, denser two-way embedment is associated with higher carbon pressure, a more forward-oriented structure with lower carbon, and deep cooperation with a higher carbon association than shallow cooperation. The results suggest that climate-smart agri-food integration should combine production-efficiency gains with forward-oriented domestic value creation and careful monitoring of the scale effects of deeper production networks.","本研究考察区域价值链（RVC）整合能否在促进农食产品出口增长的同时改善中国出口部门的碳绩效。我们构建了2007—2023年双边国家—行业—年份面板数据，涵盖目前被归类为“一带一路”伙伴的39个经济体中的C01农、林、渔业和C03食品加工业。亚洲开发银行多区域投入产出表用于识别双边增加值路径，中国部门化石能源数据和政府间气候变化专门委员会排放因子用于测算出口国内增加值所对应的生产侧直接化石能源CO₂。分析结合了对数平均迪氏指数分解、固定效应模型、外部移动份额工具变量、价值链构型检验以及组内—组间分解。有四項发现尤为突出。第一，长期碳强度的改善足以抵消累积的规模压力和结构压力。第二，基准固定效应和IV估计显示，RVC合作与绝对生产侧直接CO₂总体上呈负相关，且这一关系在2013年之后的样本中仍为负。第三，在既有的伙伴—行业关系中，更深的RVC与单位出口碳含量较低显著相关，而出口规模和绝对碳的系数在统计上不显著。第四，更密集的双向嵌入与更高的碳压力相关，更偏向前的结构与更低的碳相关，深度合作比浅层合作具有更高的碳关联。结果表明，气候智慧型农食一体化应将生产效率提升与偏向前的国内价值创造相结合，并审慎监测更深生产网络的规模效应。","Frontiers in Sustainable Food Systems",79,{"impact":216,"substance":314,"depth":48,"authority":20,"freshness":21,"relevant":22,"comment":578},"基于39个一带一路伙伴国2007–2023年面板数据，方法扎实、结论有新意，对农业绿色贸易政策有参考价值，但属学术论文，公共影响有限。",[580],{"name":575,"url":572},[582,583,33,584,585],"农业碳排放","一带一路","农产品贸易","全球价值链",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":14,"version":43,"method":44,"evidence":589},{"candidates":590,"agricultural_evidence":49},[591,595,602,608,613],{"code":35,"score":59,"supported":49,"title":592,"abstract":593,"tags":594},[],[32,51],[33],{"code":596,"score":66,"supported":49,"title":597,"abstract":598,"tags":601},"E1",[],[599,600],"食品加工","food processing",[],{"code":603,"score":81,"supported":49,"title":604,"abstract":605,"tags":607},"D",[],[606],"渔业",[],{"code":609,"score":22,"supported":14,"title":610,"abstract":611,"tags":612},"E5",[],[],[584],{"code":614,"score":22,"supported":14,"title":615,"abstract":616,"tags":617},"H4",[],[],[582],[619,620],"中国 农食产品 出口 碳排放","一带一路 区域价值链","中国农食产品出口碳排放-5473","10.3389\u002Ffsufs.2026.1977325",{"doi":622,"openalex_id":624,"authors":625,"venue":575,"cited_by_count":110,"oa_url":572,"card":632,"direction":115,"ingested_from":118},"W7223067445",[626,628,630],{"name":627,"orcid":9},"Kunlin Tang",{"name":629,"orcid":9},"Wei Yang",{"name":631,"orcid":9},"Yuan Huang",{"tldr":633,"method":634,"finding":635,"direction":115,"opportunity":636},"研究区域价值链整合能否使中国农食出口增长与生产侧直接CO2脱钩。","2007–2023年39个一带一路经济体的双边面板，用ADB多区域投入产出表与L","长期碳强度改善抵消规模压力，RVC合作总体降低绝对CO2，但深度双向嵌入会推高碳压力。","可探究前向型国内增加值创造与深度生产网络的规模效应监测机制，识别气候智慧型农食整合路径。","2026-10-21T23:30:07.454815Z"]