[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4661":3,"related-4661":86},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":6,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":57,"slug":60,"view_count":61,"doi":62,"paper":63,"created_at":85},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",null,"Discover Sustainability","2026-10-10T00:00:00Z","论文",10,false,63,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},8,18,15,13,9,1,"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。",[24],{"name":9,"url":6},[26,27,28,29,30],"气候变化","气候智慧型农业","块根作物","香蕉种植","刚果",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":39,"locked":13,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":45},[44,50],{"code":32,"score":19,"supported":45,"title":46,"abstract":48,"tags":49},true,[47],"climate change",[47],[26,27],{"code":51,"score":52,"supported":45,"title":53,"abstract":55,"tags":56},"I1",11,[54],"smart agriculture",[54],[],[58,59],"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",2,"10.1007\u002Fs43621-026-04967-z",{"doi":62,"openalex_id":64,"authors":65,"venue":9,"cited_by_count":82,"oa_url":6,"card":8,"direction":83,"ingested_from":84},"W7221343165",[66,69,72,75,78,80],{"name":67,"orcid":68},"Jacques B. Kihye","https:\u002F\u002Forcid.org\u002F0009-0006-2184-4001",{"name":70,"orcid":71},"Jean Mubalama Mondo","https:\u002F\u002Forcid.org\u002F0000-0001-7197-6551",{"name":73,"orcid":74},"Géant Basimine Chuma","https:\u002F\u002Forcid.org\u002F0000-0002-9023-2395",{"name":76,"orcid":77},"Gilbert Mubalama Mugisho","https:\u002F\u002Forcid.org\u002F0000-0003-3221-9931",{"name":79,"orcid":8},"J. G. Majaliwa",{"name":81,"orcid":8},"Katcho Karume",0,"智慧农业 \u002F 农业物联网","openalex","2026-10-11T23:30:07.955045Z",{"total":87,"page":21,"page_size":87,"items":88},6,[89,170,249,361,446,518],{"id":90,"title":91,"url":92,"summary":93,"summary_zh":94,"content":8,"source_name":95,"source_url":92,"published_at":96,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":97,"score_detail":98,"sources":102,"tags":104,"primary_topic":108,"secondary_topics":109,"classification":110,"search_phrases":152,"slug":155,"view_count":142,"doi":156,"paper":157,"created_at":169},2508,"Food Insecurity: The Hungry Face of Climate Change","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fjbgr.vol.11.no4.2025.pg88.95","Climate change is rapidly reshaping global food systems, intensifying food insecurity across both the Global North and South. Rising temperatures, erratic precipitation, extreme weather events, and land degradation are undermining agricultural productivity and destabilizing food access, particularly among marginalized and low-income populations. This paper examines the complex interplay between climate change and food insecurity, drawing on recent empirical studies and cross-regional data to analyze environmental, economic, and social dimensions. It highlights how climate-related disruptions disproportionately affect women, children, indigenous groups, and smallholder farmers, compounding existing structural inequities. The review evaluates current adaptation and mitigation efforts, including climate-smart agriculture, water resource management, and renewable energy integration. It also assesses policy gaps and proposes a holistic, equity-centered framework that integrates sustainable agriculture, community empowerment, and climate resilience. The study emphasizes the urgency of embedding food security into climate policy at all levels to safeguard livelihoods and promote sustainable development in an era of intensifying climate risk.","气候变化正在迅速重塑全球粮食系统，加剧全球北方和全球南方的粮食不安全。气温上升、降水异常、极端天气事件和土地退化正在削弱农业生产力并破坏粮食获取的稳定性，尤其是对边缘化和低收入群体而言。本文借鉴近期实证研究和跨区域数据，分析环境、经济和社会维度，考察气候变化与粮食不安全之间复杂的相互作用。文章强调，与气候相关的扰动对妇女、儿童、原住民群体和小农的影响尤为不成比例，并加剧了现有的结构性不平等。本文评估了当前的适应和减缓努力，包括气候智慧型农业、水资源管理和可再生能源整合。文章还评估了政策缺口，并提出一个以公平为中心的整体框架，将可持续农业、社区赋权和气候韧性相结合。研究强调，在气候风险日益加剧的时代，将粮食安全纳入各级气候政策以保障生计和促进可持续发展具有紧迫性。","JOURNAL OF BIOLOGY AND GENETIC RESEARCH","2026-09-14T00:00:00Z",78,{"impact":99,"substance":17,"depth":100,"authority":19,"freshness":16,"relevant":21,"comment":101},22,17,"跨区域综述揭示气候变化对全球粮食安全的系统性冲击，并提出以公平为核心的适应框架，对农业政策与气候韧性建设具参考价值。",[103],{"name":95,"url":92},[105,106,26,27,107],"粮食安全","小农户","农业适应",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":111},{"candidates":112,"agricultural_evidence":45},[113,119,126,133,140,147],{"code":32,"score":114,"supported":45,"title":115,"abstract":116,"tags":118},19,[47],[26,47,117],"climate resilience",[26,27],{"code":120,"score":121,"supported":45,"title":122,"abstract":123,"tags":125},"A8",7,[],[105,124],"food security",[105],{"code":127,"score":87,"supported":45,"title":128,"abstract":129,"tags":132},"H3",[],[130,131],"水资源","water resource",[],{"code":134,"score":87,"supported":45,"title":135,"abstract":136,"tags":139},"H8",[],[137,138],"可持续农业","sustainable agriculture",[],{"code":141,"score":142,"supported":45,"title":143,"abstract":144,"tags":146},"G2",4,[],[145],"smallholder",[106],{"code":51,"score":148,"supported":45,"title":149,"abstract":150,"tags":151},3,[],[54],[],[153,154],"气候智慧型农业 农业适应 气候变化 粮食安全","气候智慧型农业 农业适应","气候智慧型农业农业适应气候变化粮食安全-2508","10.56201\u002Fjbgr.vol.11.no4.2025.pg88.95",{"doi":156,"openalex_id":158,"authors":159,"venue":95,"cited_by_count":82,"oa_url":162,"card":163,"direction":83,"ingested_from":84},"W7212575816",[160],{"name":161,"orcid":8},"Ahmed Farida Mohammed","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FJBGR\u002FVOL. 11 NO. 4 2025\u002FFood Insecurity The Hungry 88-95.pdf",{"tldr":164,"method":165,"finding":166,"direction":167,"opportunity":168},"综述气候变化与粮食不安全的复杂关联，提出以公平为中心的综合应对框架。","基于近期实证研究与跨区域数据，分析环境、经济和社会维度。","气候冲击对妇女、儿童、原住民和小农影响尤甚，需将粮食安全嵌入各级气候政策。","农业绿色发展与碳","可量化气候智能农业与水资源管理对弱势群体粮食安全的公平性效益，填补政策评估空白。","2026-09-15T23:30:08.313374Z",{"id":171,"title":172,"url":173,"summary":174,"summary_zh":175,"content":8,"source_name":176,"source_url":173,"published_at":177,"category":11,"cover_url":8,"hotness":12,"is_selected":45,"score":178,"score_detail":179,"sources":183,"tags":185,"primary_topic":190,"secondary_topics":196,"classification":198,"search_phrases":228,"slug":231,"view_count":82,"doi":232,"paper":233,"created_at":248},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":99,"substance":180,"depth":114,"authority":181,"freshness":12,"relevant":21,"comment":182},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。",[184],{"name":176,"url":173},[186,26,187,188,189],"大豆","东北农业","物候数据","遥感验证",{"code":191,"slug":192,"name":193,"path":194,"parent_code":195},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds","A",[197],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":13,"version":40,"method":41,"evidence":199},{"candidates":200,"agricultural_evidence":45},[201,206,211,215,222],{"code":191,"score":18,"supported":45,"title":202,"abstract":204,"tags":205},[203],"soybean",[186,203],[186],{"code":32,"score":12,"supported":45,"title":207,"abstract":208,"tags":210},[],[26,209,47],"农业气象",[26],{"code":120,"score":87,"supported":45,"title":212,"abstract":213,"tags":214},[],[105,124],[],{"code":216,"score":87,"supported":45,"title":217,"abstract":218,"tags":221},"I3",[],[219,220],"遥感","remote sensing",[],{"code":223,"score":148,"supported":45,"title":224,"abstract":225,"tags":227},"H6",[],[226],"农业生态",[],[229,230],"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":232,"openalex_id":234,"authors":235,"venue":176,"cited_by_count":82,"oa_url":173,"card":242,"direction":246,"ingested_from":84},"W7223091615",[236,239],{"name":237,"orcid":238},"Quanjun Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6087-3928",{"name":240,"orcid":241},"Dongli Wu","https:\u002F\u002Forcid.org\u002F0000-0003-1676-2264",{"tldr":243,"method":244,"finding":245,"direction":246,"opportunity":247},"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":250,"title":251,"url":252,"summary":253,"summary_zh":254,"content":8,"source_name":255,"source_url":252,"published_at":256,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":257,"score_detail":258,"sources":261,"tags":263,"primary_topic":268,"secondary_topics":269,"classification":279,"search_phrases":332,"slug":335,"view_count":82,"doi":336,"paper":337,"created_at":360},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",66,{"impact":19,"substance":17,"depth":18,"authority":259,"freshness":16,"relevant":21,"comment":260},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。",[262],{"name":255,"url":252},[26,264,265,266,267],"盐碱地治理","遥感监测","智慧灌溉","土壤盐渍化",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[270,275],{"code":271,"slug":272,"name":273,"path":274,"parent_code":36},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":127,"slug":276,"name":277,"path":278,"parent_code":36},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":39,"locked":13,"version":40,"method":41,"evidence":280},{"candidates":281,"agricultural_evidence":45},[282,288,293,299,303,307,313,320,326],{"code":32,"score":17,"supported":45,"title":283,"abstract":284,"tags":287},[47],[26,285,286,47],"气候适应","干旱",[26],{"code":271,"score":18,"supported":45,"title":289,"abstract":290,"tags":292},[272],[291,272],"土壤",[264],{"code":127,"score":12,"supported":45,"title":294,"abstract":295,"tags":298},[],[296,130,276,297],"灌溉","evapotranspiration",[266],{"code":216,"score":121,"supported":45,"title":300,"abstract":301,"tags":302},[],[219,220],[265],{"code":120,"score":87,"supported":45,"title":304,"abstract":305,"tags":306},[],[105,124],[],{"code":51,"score":87,"supported":45,"title":308,"abstract":309,"tags":312},[],[310,311],"精准农业","precision agriculture",[],{"code":314,"score":87,"supported":45,"title":315,"abstract":316,"tags":319},"I4",[],[317,318],"地理信息","geographic information",[],{"code":321,"score":148,"supported":45,"title":322,"abstract":323,"tags":325},"F3",[],[324],"养分管理",[],{"code":327,"score":148,"supported":45,"title":328,"abstract":329,"tags":331},"J1",[],[330],"农业政策",[],[333,334],"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":336,"openalex_id":338,"authors":339,"venue":255,"cited_by_count":82,"oa_url":252,"card":355,"direction":246,"ingested_from":84},"W7222999158",[340,342,344,346,348,350,353],{"name":341,"orcid":8},"Asifa Naz",{"name":343,"orcid":8},"Muhammad Abu Baker Siddiq",{"name":345,"orcid":8},"Syed Asghar Hussain Shah",{"name":347,"orcid":8},"Shahrish Nawaz",{"name":349,"orcid":8},"Muhmmad Irfan",{"name":351,"orcid":352},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":354,"orcid":8},"Muhammad Nouman Khalid",{"tldr":356,"method":357,"finding":358,"direction":246,"opportunity":359},"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":362,"title":363,"url":364,"summary":365,"summary_zh":366,"content":8,"source_name":367,"source_url":364,"published_at":368,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":369,"score_detail":370,"sources":373,"tags":375,"primary_topic":379,"secondary_topics":380,"classification":382,"search_phrases":427,"slug":430,"view_count":82,"doi":8,"paper":431,"created_at":445},5312,"Agricultural Production under Climate Change in Afghanistan: Impacts, Challenges and Adaptation Options (A Review)","https:\u002F\u002Fesrj.edu.af\u002Fesrj\u002Farticle\u002Fview\u002F123","Climate change poses serious challenges to agriculture in Afghanistan, a country largely dependent on rainfed farming and highly vulnerable to water scarcity, drought, and temperature extremes. Understanding the impacts of climate variability and identifying effective adaptation strategies are essential to sustain agricultural productivity and ensure food security. This systematic review synthesizes empirical, modeling, and review studies on climate change effects on Afghan agriculture, assesses adaptation measures, and integrates regional experiences from Pakistan, Iran, Tajikistan, and Uzbekistan. A structured literature search was conducted using peer-reviewed articles, institutional reports, and regional studies published between 2000 and 2025. Studies were selected based on relevance to Afghan agro-ecological systems, climate stressors, and adaptation strategies. We extracted data using a structured table format following PRISMA guidelines, combining national and regional evidence. Findings indicate that water scarcity, prolonged drought, rising temperatures, and erratic precipitation are the main stressors affecting major crops, including wheat, barley, chickpea, maize, and cotton. Yield reductions ranged from 12% to 25% across provinces. Adaptation strategies such as Climate-Smart Agriculture (CSA), efficient irrigation (drip and sprinkler), rainwater harvesting, mulching, and drought- or heat-tolerant crop varieties were most effective. Regional evidence confirms the transferability of these measures under similar agro-climatic conditions. In conclusion, climate change significantly threatens agricultural productivity in Afghanistan. Evidence-based adaptation strategies, supported by coordinated policy and capacity-building initiatives, can enhance resilience, protect rural livelihoods, and ensure sustainable food security.","气候变化对阿富汗农业构成严峻挑战，该国农业在很大程度上依赖雨养耕作，极易受到水资源短缺、干旱和极端温度的影响。理解气候变异的影响并确定有效的适应策略，对于维持农业生产力和保障粮食安全至关重要。本系统综述综合了关于气候变化对阿富汗农业影响的实证研究、模拟研究和综述研究，评估了适应措施，并整合了巴基斯坦、伊朗、塔吉克斯坦和乌兹别克斯坦的区域经验。采用结构化文献检索方法，检索了2000年至2025年间发表的同行评审论文、机构报告和区域研究。研究依据其与阿富汗农业生态系统、气候胁迫因子和适应策略的相关性进行筛选。我们遵循PRISMA指南，采用结构化表格格式提取数据，综合了国家层面和区域层面的证据。研究结果表明，水资源短缺、持续干旱、气温上升和降水不稳定是影响主要作物（包括小麦、大麦、鹰嘴豆、玉米和棉花）的主要胁迫因子。各省产量降幅在12%至25%之间。气候智慧型农业（CSA）、高效灌溉（滴灌和喷灌）、雨水收集、覆盖栽培以及耐旱或耐热作物品种等适应策略最为有效。区域证据证实了这些措施在相似农业气候条件下的可推广性。总之，气候变化显著威胁阿富汗的农业生产力。以协调政策和能力建设举措为支撑的循证适应策略能够增强韧性、保护农村生计并确保可持续的粮食安全。","ESRJ","2026-10-16T00:00:00Z",73,{"impact":17,"substance":371,"depth":100,"authority":259,"freshness":87,"relevant":21,"comment":372},20,"系统综述整合2000-2025年证据，量化减产12%-25%并提出可迁移的适应策略，对区域农业气候韧性研究有参考价值，但非国内三农政策或产业事件，时效性一般。",[374],{"name":367,"url":364},[376,105,26,377,378],"智慧农业","适应性策略","水资源短缺",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[381],{"code":127,"slug":276,"name":277,"path":278,"parent_code":36},{"status":39,"locked":13,"version":40,"method":41,"evidence":383},{"candidates":384,"agricultural_evidence":45},[385,390,394,398,405,412,419,423],{"code":32,"score":17,"supported":45,"title":386,"abstract":387,"tags":389},[47],[26,286,47,388],"drought",[26],{"code":127,"score":20,"supported":45,"title":391,"abstract":392,"tags":393},[],[296,130,276],[],{"code":120,"score":121,"supported":45,"title":395,"abstract":396,"tags":397},[],[105,124],[105],{"code":399,"score":87,"supported":45,"title":400,"abstract":401,"tags":404},"A2",[],[402,403],"小麦","wheat",[],{"code":406,"score":87,"supported":45,"title":407,"abstract":408,"tags":411},"A3",[],[409,410],"玉米","maize",[],{"code":413,"score":87,"supported":45,"title":414,"abstract":415,"tags":418},"A6",[],[416,417],"棉花","cotton",[],{"code":51,"score":142,"supported":45,"title":420,"abstract":421,"tags":422},[],[54],[376],{"code":223,"score":148,"supported":45,"title":424,"abstract":425,"tags":426},[],[226],[],[428,429],"阿富汗 气候变化","气候智慧型农业 灌溉","阿富汗气候变化-5312",{"doi":8,"openalex_id":432,"authors":433,"venue":367,"cited_by_count":82,"oa_url":364,"card":440,"direction":83,"ingested_from":84},"W7222907396",[434,436,438],{"name":435,"orcid":8},"Mohammad Shafiq Faieq",{"name":437,"orcid":8},"Mustafa Abid",{"name":439,"orcid":8},"Abdul khalil Afghani",{"tldr":441,"method":442,"finding":443,"direction":167,"opportunity":444},"系统综述气候变化对阿富汗农业的影响、挑战与适应策略。","按PRISMA检索2000-2025年文献，整合阿富汗及周边四国区域证据。","水资源短缺与干旱致主要作物减产12%-25%，气候智慧型农业与节水灌溉最有效。","可研究气候智慧型农业措施在阿富汗及周边干旱区的本地化适配与推广机制。","2026-10-19T23:30:11.285828Z",{"id":447,"title":448,"url":449,"summary":450,"summary_zh":451,"content":8,"source_name":452,"source_url":449,"published_at":453,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":454,"score_detail":455,"sources":457,"tags":459,"primary_topic":462,"secondary_topics":463,"classification":464,"search_phrases":501,"slug":504,"view_count":82,"doi":505,"paper":506,"created_at":517},5195,"Nanoagricultural revolution under global warming: optimizing growth and nutrient use efficiency","https:\u002F\u002Fdoi.org\u002F10.1080\u002F01904167.2026.2742923","Global food security faces growing threats from climate change, population growth, and environmental degradation, which reduce crop yield and quality. Innovative solutions are needed beyond conventional farming. This review examines nanotechnology’s potential to transform agriculture under climate stress, focusing on metallic, carbon-based, biogenic, and polymeric nanomaterials. These materials act as nanofertilizers, nanopesticides, nanosensors, and soil amendments. They enhance seed germination, photosynthetic efficiency, hormone regulation, gene expression, and antioxidant defenses. They also mitigate drought and salinity by improving water uptake, ion balance, osmolyte accumulation, and stress-gene regulation. Nanofertilizers enable controlled nutrient release, reducing emissions and fertilizer waste, while nanopesticides provide targeted pest control. Nanosensors support precision agriculture through real-time monitoring. Overall, nanotechnology improves soil quality, carbon sequestration, and crop resilience. However, safe application requires optimizing concentrations and methods to avoid toxicity. Future work should address molecular mechanisms, ecological impacts, cost-effective production, and regulatory frameworks. When integrated sustainably, nanotechnology offers a transformative path toward global food security under climate uncertainty.","全球粮食安全正面临气候变化、人口增长和环境退化日益加剧的威胁，这些因素导致作物产量和品质下降。需要超越传统农业的创新解决方案。本综述探讨了纳米技术在气候胁迫下变革农业的潜力，重点关注金属基、碳基、生物源和聚合物纳米材料。这些材料可作为纳米肥料、纳米农药、纳米传感器和土壤改良剂。它们增强种子萌发、光合效率、激素调节、基因表达和抗氧化防御。它们还通过改善水分吸收、离子平衡、渗透调节物质积累和胁迫基因调控来缓解干旱和盐胁迫。纳米肥料可实现养分的控释，减少排放和肥料浪费，而纳米农药则提供靶向病虫害防治。纳米传感器通过实时监测支持精准农业。总体而言，纳米技术改善土壤质量、碳固存和作物抗逆性。然而，安全应用需要优化浓度和方法以避免毒性。未来工作应关注分子机制、生态影响、经济高效的生产和监管框架。在可持续整合的前提下，纳米技术为气候不确定性下的全球粮食安全提供了一条变革性路径。","Journal of Plant Nutrition","2026-10-15T00:00:00Z",76,{"impact":17,"substance":371,"depth":100,"authority":19,"freshness":16,"relevant":21,"comment":456},"系统综述纳米材料在气候胁迫下提升作物生长与养分利用效率的机制与应用前景，信息增量与专业深度较好，但属综述类论文、非突破性成果，适合进入主题聚合而非头条精选。",[458],{"name":452,"url":449},[376,310,26,460,461],"纳米农业","纳米肥料",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":465},{"candidates":466,"agricultural_evidence":45},[467,471,475,479,485,489,495],{"code":32,"score":12,"supported":45,"title":468,"abstract":469,"tags":470},[],[26,286,47,388],[26],{"code":51,"score":16,"supported":45,"title":472,"abstract":473,"tags":474},[],[310,311],[376,310],{"code":120,"score":87,"supported":45,"title":476,"abstract":477,"tags":478},[],[105,124],[],{"code":321,"score":87,"supported":45,"title":480,"abstract":481,"tags":484},[],[482,483],"肥料","fertilizer",[],{"code":271,"score":87,"supported":45,"title":486,"abstract":487,"tags":488},[],[291,272],[],{"code":490,"score":148,"supported":45,"title":491,"abstract":492,"tags":494},"F4",[],[493],"农药",[],{"code":496,"score":148,"supported":45,"title":497,"abstract":498,"tags":500},"H4",[],[499],"carbon sequestration",[],[502,503],"纳米肥料 养分利用效率","纳米传感器 精准农业","纳米肥料养分利用效率-5195","10.1080\u002F01904167.2026.2742923",{"doi":505,"openalex_id":507,"authors":508,"venue":452,"cited_by_count":82,"oa_url":8,"card":512,"direction":167,"ingested_from":84},"W7222281865",[509],{"name":510,"orcid":511},"Azam Ranjbar","https:\u002F\u002Forcid.org\u002F0000-0001-8650-7395",{"tldr":513,"method":514,"finding":515,"direction":167,"opportunity":516},"综述纳米材料在气候胁迫下提升作物生长与养分利用效率的潜力与风险。","综述金属、碳基、生物源及聚合物纳米材料作为纳米肥料、农药和传感器的作用。","纳米材料可增强抗逆性、控释养分并支持精准农业，但需优化浓度以避免毒性。","可研究纳米材料在田间尺度下的分子机制、生态风险与低成本规模化生产及监管标准。","2026-10-17T23:31:02.249682Z",{"id":519,"title":520,"url":521,"summary":522,"summary_zh":523,"content":8,"source_name":524,"source_url":521,"published_at":453,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":525,"score_detail":526,"sources":528,"tags":530,"primary_topic":534,"secondary_topics":535,"classification":536,"search_phrases":551,"slug":554,"view_count":82,"doi":555,"paper":556,"created_at":578},5172,"Forest green-up in the Pearl River Basin: trends, driving factors, and relationships with net primary productivity","https:\u002F\u002Fdoi.org\u002F10.1080\u002F17538947.2026.2738487","The spring green-up date (GUD), a critical indicator of ecosystem response to climate change, profoundly influences terrestrial productivity. However, the complex drivers of GUD remain elusive, while the contentious relationship between GUD and net primary productivity (NPP) challenges the universal validity of the hypothesis that earlier green-up enhances productivity. Using MODIS NDVI data (2000-2020), we quantified forest GUD dynamics in the Pearl River Basin and combined random forest, SHAP, and structural equation modelling to identify drivers and assess GUD-NPP relationships. GUD was advanced by approximately 5 days, with 81.8% of forestland pixels advancing and 18.2% delaying. Only 5.39% of advances showed significant trends, whereas 30.45% of delays were concentrated near croplands and developed areas. The random forest model explained 58.2% of GUD variation. Elevation, precipitation, and soil potassium and phosphorus were dominant; elevation-induced thermal gradients outweighed ambient temperature effects, with elevations above 1,200 m exhibiting markedly delayed GUD. Spatially, GUD had a positive correlation with NPP, indicating that later GUD was associated with higher forest NPP, possibly because of early-spring cold snaps and frost. Temporally, areas with stronger GUD delays tended to show greater NPP increases. This study identified key controls on subtropical forest phenology and revealed a GUD-NPP trade-off.","春季返青期（GUD）是生态系统响应气候变化的关键指标，深刻影响陆地生产力。然而，GUD的复杂驱动机制仍不明确，且GUD与净初级生产力（NPP）之间存在争议性关系，挑战了“提前返青提高生产力”这一假说的普适性。本研究利用MODIS NDVI数据（2000—2020年），量化了珠江流域森林GUD动态，并结合随机森林、SHAP和结构方程模型识别驱动因子并评估GUD-NPP关系。GUD整体提前约5天，其中81.8%的林地像元提前、18.2%推迟。仅5.39%的提前像元呈显著趋势，而30.45%的推迟像元集中在农田和建成区附近。随机森林模型解释了58.2%的GUD变异。海拔、降水以及土壤钾和磷为主导因子；海拔引起的热梯度效应超过环境温度的影响，海拔1200 m以上区域GUD显著推迟。空间上，GUD与NPP呈正相关，表明GUD越晚森林NPP越高，这可能与早春寒潮和霜冻有关。时间上，GUD推迟越强的区域往往表现为NPP增加越大。本研究识别了亚热带森林物候的关键控制因子，揭示了GUD-NPP之间的权衡关系。","International Journal of Digital Earth",74,{"impact":259,"substance":99,"depth":17,"authority":181,"freshness":16,"relevant":21,"comment":527},"基于MODIS长时序数据的区域森林物候研究，方法组合新颖、结论有增量，但属区域基础研究，产业与政策影响有限，可作专业补充而非每日精选头条。",[529],{"name":524,"url":521},[26,265,531,532,533],"植被生产力","森林物候","珠江流域",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":537},{"candidates":538,"agricultural_evidence":45},[539,543,547],{"code":32,"score":121,"supported":45,"title":540,"abstract":541,"tags":542},[],[26,47],[26],{"code":271,"score":87,"supported":45,"title":544,"abstract":545,"tags":546},[],[291,272],[],{"code":216,"score":21,"supported":13,"title":548,"abstract":549,"tags":550},[],[],[265],[552,553],"珠江流域 森林 返青期","MODIS NDVI 植被生产力","珠江流域森林返青期-5172","10.1080\u002F17538947.2026.2738487",{"doi":555,"openalex_id":557,"authors":558,"venue":524,"cited_by_count":82,"oa_url":572,"card":573,"direction":246,"ingested_from":84},"W7221897424",[559,562,564,566,568,570],{"name":560,"orcid":561},"Shijie Yang","https:\u002F\u002Forcid.org\u002F0009-0001-7573-5509",{"name":563,"orcid":8},"Zhaoju Zheng",{"name":565,"orcid":8},"Xueming Zhao",{"name":567,"orcid":8},"Zhipeng Zhang",{"name":569,"orcid":8},"Xiaohui Cui",{"name":571,"orcid":8},"Yuan Zeng","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F17538947.2026.2738487?needAccess=true",{"tldr":574,"method":575,"finding":576,"direction":246,"opportunity":577},"基于MODIS NDVI量化珠江流域森林返青期动态，并解析其驱动因子及与NPP的关系。","MODIS NDVI（2000-2020）、随机森林、SHAP与结构方程模型。","返青期整体提前约5天，但延迟区NPP更高，揭示返青期与NPP的权衡关系。","可探究早春寒潮霜冻对返青-NPP权衡的调控机制，并拓展至其他亚热带流域验证普适性。","2026-10-17T23:30:29.750744Z"]