[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2769":3,"related-2769":126},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":98,"slug":101,"view_count":102,"doi":103,"paper":104,"created_at":125},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。",null,"Discover Applied Sciences","2026-09-16T00:00:00Z","论文",10,false,76,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,20,17,13,8,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","气候变化","气候智慧农业","遥感监测","干旱监测",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":46},[45,53,60,68,75,81,87,93],{"code":33,"score":18,"supported":46,"title":47,"abstract":49,"tags":52},true,[48],"climate change",[28,50,48,51],"干旱","drought",[31,28,29],{"code":54,"score":55,"supported":46,"title":56,"abstract":57,"tags":59},"A8",7,[],[27,58],"food security",[27],{"code":61,"score":62,"supported":46,"title":63,"abstract":64,"tags":67},"H2",6,[],[65,66],"土壤","soil",[],{"code":69,"score":70,"supported":46,"title":71,"abstract":72,"tags":74},"C",3,[],[73],"livestock",[],{"code":76,"score":70,"supported":46,"title":77,"abstract":78,"tags":80},"H3",[],[79],"水资源",[],{"code":82,"score":70,"supported":46,"title":83,"abstract":84,"tags":86},"I1",[],[85],"smart agriculture",[],{"code":88,"score":70,"supported":46,"title":89,"abstract":90,"tags":92},"I4",[],[91],"GIS",[],{"code":94,"score":22,"supported":14,"title":95,"abstract":96,"tags":97},"I3",[],[],[30],[99,100],"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":103,"openalex_id":105,"authors":106,"venue":10,"cited_by_count":116,"oa_url":6,"card":117,"direction":123,"ingested_from":124},"W7213257664",[107,109,111,114],{"name":108,"orcid":9},"Abdiaziz Hassan Nur",{"name":110,"orcid":9},"Mohamed Osman Abdulkadir",{"name":112,"orcid":113},"Omar Ali","https:\u002F\u002Forcid.org\u002F0009-0001-3009-1850",{"name":115,"orcid":9},"Ahmed Sodal Asir",0,{"tldr":118,"method":119,"finding":120,"direction":121,"opportunity":122},"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。","农业绿色发展与碳","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。","智慧农业 \u002F 农业物联网","openalex","2026-09-17T23:30:10.557669Z",{"total":62,"page":22,"page_size":62,"items":127},[128,233,341,416,517,602],{"id":129,"title":130,"url":131,"summary":132,"summary_zh":133,"content":9,"source_name":134,"source_url":131,"published_at":135,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":136,"score_detail":137,"sources":142,"tags":144,"primary_topic":147,"secondary_topics":148,"classification":155,"search_phrases":209,"slug":212,"view_count":70,"doi":213,"paper":214,"created_at":232},3542,"Drought vulnerability assessment and its severe impact on crop production and livelihood of people: An empirical modelling of northern Ghana","https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pclm.0001038","Climate change is intensifying drought vulnerability in northern Ghana, posing serious risks to crop production, food security, and rural livelihoods in semi-arid regions. This study develops an empirical modelling framework to assess drought vulnerability and impacts at three temporal horizons, 2026–2050, 2051–2075, and 2076–2100, under SSP1-2.6 and SSP5-8.5 scenarios. We integrated bias-corrected outputs from five CMIP6 models, MRI-ESM2–0, EC-Earth3, IPSL-CM6A-LR, CESM2, and HadGEM3-GC31-LL, downscaled to 0.25° resolution, with drought indices including the Standardized Precipitation Index SPI, Reconnaissance Drought Index RDI, Normalized Difference Drought Index NDDI, and Soil Moisture Index SMI. These were combined with MODIS-derived Normalized Difference Vegetation Index NDVI, population density, and land use\u002Fland cover using GIS-based tools to generate composite drought vulnerability maps. CMIP6 models were validated against reference datasets and showed strong performance for annual precipitation, r = 0.95, RMSE = 3.4 mm, and temperature, r = 0.99, RMSE = 0.47–0.74°C. Results project increasing drought severity, with mean temperature rises of 2.0–3.9°C and rainfall declines up to 19% by 2100. Crop yields for maize, millet, sorghum, and groundnuts are expected to fall by 25–60% by 2050, with maize showing the strongest negative correlation to drought severity, r = –0.72, p \u003C 0.01, confirmed by Mann-Kendall trends at the 95% confidence level. About 84% of the study area is classified as highly vulnerable due to limited adaptive capacity, over 80% dependence on rain-fed agriculture, more than 49% household food insecurity, less than 23% cropland use, and under 5% water body coverage. Significant uncertainties remain in precipitation projections, with some models showing divergent temperature trends, highlighting challenges in modelling climate impacts. The findings underscore the urgent need for district-level drought preparedness, solar-powered irrigation, index insurance, climate-smart agriculture, and Disaster Risk Reduction aligned with UNDRR and Sendai Framework priorities to build resilience in northern Ghana.","气候变化正在加剧加纳北部的干旱脆弱性，对半干旱地区的作物生产、粮食安全和农村生计构成严重风险。本研究构建了一个经验建模框架，用于评估2026—2050年、2051—2075年和2076—2100年三个时间尺度下SSP1-2.6和SSP5-8.5情景中的干旱脆弱性及其影响。我们将五个CMIP6模型（MRI-ESM2–0、EC-Earth3、IPSL-CM6A-LR、CESM2和HadGEM3-GC31-LL）的偏差校正输出降尺度至0.25°分辨率，并与标准化降水指数（SPI）、侦察干旱指数（RDI）、归一化差值干旱指数（NDDI）和土壤水分指数（SMI）等干旱指数相结合。这些数据与MODIS衍生的归一化差值植被指数（NDVI）、人口密度以及土地利用\u002F土地覆盖数据通过基于GIS的工具相结合，生成综合干旱脆弱性地图。CMIP6模型经参考数据集验证，在年降水量（r = 0.95，RMSE = 3.4 mm）和温度（r = 0.99，RMSE = 0.47–0.74°C）方面表现出色。结果预测干旱严重程度将加剧，到2100年平均气温上升2.0–3.9°C，降雨量下降高达19%。到2050年，玉米、小米、高粱和花生的作物产量预计将下降25–60%，其中玉米与干旱严重程度呈最强负相关（r = –0.72，p \u003C 0.01），并经Mann-Kendall趋势检验在95%置信水平上得到证实。约84%的研究区域被归类为高度脆弱，原因包括适应能力有限、超过80%依赖雨养农业、超过49%的家庭粮食不安全、不足23%的耕地利用率以及低于5%的水体覆盖率。降水预测仍存在显著不确定性，部分模型显示出不同的温度趋势，凸显了气候影响建模的挑战。研究结果强调迫切需要开展县级干旱备灾、太阳能灌溉、指数保险、气候智慧型农业以及与UNDRR和仙台框架优先事项一致的风险减灾工作，以增强加纳北部的韧性。","PLOS Climate","2026-09-25T00:00:00Z",82,{"impact":17,"substance":138,"depth":17,"authority":139,"freshness":140,"relevant":22,"comment":141},23,14,9,"基于CMIP6多模型与遥感指数的干旱脆弱性实证研究，数据扎实、结论明确，对半干旱区农业防灾与气候适应有参考价值。",[143],{"name":134,"url":131},[27,145,28,30,146],"防灾减灾","干旱风险",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[149],{"code":150,"slug":151,"name":152,"path":153,"parent_code":154},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",{"status":40,"locked":14,"version":41,"method":42,"evidence":156},{"candidates":157,"agricultural_evidence":46},[158,163,170,174,181,185,191,197,201,205],{"code":33,"score":159,"supported":46,"title":160,"abstract":161,"tags":162},19,[51],[28,50,48,51],[28,145],{"code":150,"score":140,"supported":46,"title":164,"abstract":165,"tags":169},[],[166,167,168],"高粱","sorghum","millet",[],{"code":54,"score":55,"supported":46,"title":171,"abstract":172,"tags":173},[],[27,58],[27],{"code":175,"score":62,"supported":46,"title":176,"abstract":177,"tags":180},"A3",[],[178,179],"玉米","maize",[],{"code":61,"score":62,"supported":46,"title":182,"abstract":183,"tags":184},[],[65,66],[],{"code":76,"score":62,"supported":46,"title":186,"abstract":187,"tags":190},[],[188,189],"灌溉","irrigation",[],{"code":192,"score":70,"supported":46,"title":193,"abstract":194,"tags":196},"A4",[],[195],"花生",[],{"code":82,"score":70,"supported":46,"title":198,"abstract":199,"tags":200},[],[85],[],{"code":88,"score":70,"supported":46,"title":202,"abstract":203,"tags":204},[],[91],[],{"code":94,"score":22,"supported":14,"title":206,"abstract":207,"tags":208},[],[],[30],[210,211],"加纳北部 干旱 玉米","CMIP6 干旱脆弱性 作物产量","加纳北部干旱玉米-3542","10.1371\u002Fjournal.pclm.0001038",{"doi":213,"openalex_id":215,"authors":216,"venue":134,"cited_by_count":116,"oa_url":131,"card":226,"direction":123,"ingested_from":124},"W7214399028",[217,220,223],{"name":218,"orcid":219},"Theophilus Francis Kofitio","https:\u002F\u002Forcid.org\u002F0009-0000-7147-6581",{"name":221,"orcid":222},"Peace Korshiwor Amoatey","https:\u002F\u002Forcid.org\u002F0000-0002-2794-9721",{"name":224,"orcid":225},"Evans Asenso","https:\u002F\u002Forcid.org\u002F0000-0003-3116-6356",{"tldr":227,"method":228,"finding":229,"direction":230,"opportunity":231},"构建干旱脆弱性经验模型，评估加纳北部未来气候情景下作物与生计影响。","集成5个CMIP6模型、SPI\u002FRDI\u002FNDDI\u002FSMI指数与MODIS NDV","至2100年升温2.0-3.9°C、降水降19%，2050年作物减产25-60%，84%区域高度脆弱","农业遥感与作物表型","可结合遥感干旱指数与作物模型，在数据稀缺区开展多情景脆弱性动态评估与适应策略优化。","2026-09-26T23:30:10.153994Z",{"id":234,"title":235,"url":236,"summary":237,"summary_zh":238,"content":9,"source_name":239,"source_url":236,"published_at":240,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":241,"score_detail":242,"sources":244,"tags":246,"primary_topic":249,"secondary_topics":253,"classification":261,"search_phrases":307,"slug":310,"view_count":21,"doi":311,"paper":312,"created_at":340},3169,"Climate change and the rising threat of Macrophomina phaseolina: implications for food security, food safety, and sustainable crop health management","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10725-026-01525-5","Abstract Macrophomina phaseolina is a destructive soil-borne necrotrophic fungal pathogen that causes substantial yield losses in a wide range of economically important crops worldwide. Disease severity is strongly enhanced under drought, high temperature, and salinity stress, conditions that are becoming increasingly prevalent under current climate change scenarios. This review examines the interactions between climate-driven abiotic stress, host physiological regulation, and pathogen aggressiveness, highlighting how stress-induced disruptions in hormonal signalling, reactive oxygen species homeostasis, antioxidant defence systems, and plant metabolism collectively increase susceptibility to M. phaseolina . Recent advances in understanding pathogen virulence mechanisms, plant immune responses, and resistance-associated molecular pathways are synthesised together with emerging evidence from transcriptomics, proteomics, metabolomics, and comparative genomics. The review further evaluates current management strategies, including host resistance, biological control, plant growth-promoting microorganisms, stress priming, and integrated disease management, while discussing their limitations under field conditions. Emerging technologies such as precision agriculture, remote sensing, artificial intelligence-assisted disease forecasting, and multi-omics approaches are highlighted as promising tools for improving early diagnosis, risk prediction, and climate-resilient disease management. By integrating advances in plant physiology, molecular biology, and sustainable crop protection, this review provides a comprehensive framework for understanding M. phaseolina pathogenesis under changing environmental conditions. It identifies key research priorities to improve crop resilience and safeguard global food security.","摘要 菜豆壳球孢（Macrophomina phaseolina）是一种具有破坏性的土传死体营养型真菌病原菌，在全球范围内对多种具有重要经济价值的作物造成严重产量损失。在干旱、高温和盐胁迫条件下，病害严重程度显著加剧，而这些条件在当前气候变化情景下正变得越来越普遍。本文综述了气候驱动的非生物胁迫、寄主生理调控与病原菌致病力之间的相互作用，重点阐述了胁迫诱导的激素信号传导紊乱、活性氧稳态失衡、抗氧化防御系统受损以及植物代谢改变如何共同增加对菜豆壳球孢的易感性。本文综合了病原菌毒力机制、植物免疫反应及抗性相关分子通路方面的最新研究进展，并结合转录组学、蛋白质组学、代谢组学和比较基因组学的新兴证据。本文进一步评估了当前的管理策略，包括寄主抗性、生物防治、植物促生微生物、胁迫 priming 和病害综合管理，同时讨论了这些策略在田间条件下的局限性。精准农业、遥感、人工智能辅助病害预测和多组学方法等新兴技术被重点介绍为改善早期诊断、风险预测和气候韧性病害管理的有前景的工具。通过整合植物生理学、分子生物学和可持续作物保护方面的进展，本文为理解变化环境条件下菜豆壳球孢的致病机制提供了综合框架，并确定了提高作物韧性和保障全球粮食安全的关键研究优先方向。","Plant Growth Regulation","2026-09-22T00:00:00Z",80,{"impact":17,"substance":18,"depth":17,"authority":139,"freshness":13,"relevant":22,"comment":243},"核心期刊综述，系统梳理气候胁迫下土传病害机制与AI遥感等智慧防控手段，对农业信息化与粮食安全主题有聚合价值。",[245],{"name":239,"url":236},[247,27,248,28,30],"智慧农业","植物病害",{"code":54,"slug":250,"name":251,"path":252,"parent_code":154},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security",[254,255],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":256,"slug":257,"name":258,"path":259,"parent_code":260},"E4","food-safety","质量安全与溯源","\u002Ftopic\u002Ffood-supply\u002Ffood-safety","E",{"status":40,"locked":14,"version":41,"method":42,"evidence":262},{"candidates":263,"agricultural_evidence":46},[264,268,273,278,284,290,297,301],{"code":33,"score":17,"supported":46,"title":265,"abstract":266,"tags":267},[48],[28,50,48,51],[28],{"code":54,"score":269,"supported":46,"title":270,"abstract":271,"tags":272},15,[58],[27,58],[27],{"code":256,"score":21,"supported":46,"title":274,"abstract":276,"tags":277},[275],"food safety",[],[],{"code":82,"score":55,"supported":46,"title":279,"abstract":280,"tags":283},[],[281,282],"精准农业","precision agriculture",[247],{"code":94,"score":55,"supported":46,"title":285,"abstract":286,"tags":289},[],[287,288],"遥感","remote sensing",[30],{"code":291,"score":62,"supported":46,"title":292,"abstract":293,"tags":296},"F4",[],[294,295],"生物防治","crop protection",[],{"code":61,"score":70,"supported":46,"title":298,"abstract":299,"tags":300},[],[66],[],{"code":302,"score":70,"supported":46,"title":303,"abstract":304,"tags":306},"I2",[],[305],"artificial intelligence",[],[308,309],"Macrophomina phaseolina 病害 防控","气候变暖 土传病害 粮食安全","Macrophominaphaseolina病害防控-3169","10.1007\u002Fs10725-026-01525-5",{"doi":311,"openalex_id":313,"authors":314,"venue":239,"cited_by_count":116,"oa_url":236,"card":334,"direction":230,"ingested_from":124},"W7213972258",[315,317,319,322,325,328,331],{"name":316,"orcid":9},"Sindiswa Khawula",{"name":318,"orcid":9},"Siyabonga Ntshalitshali",{"name":320,"orcid":321},"Arun Gokul","https:\u002F\u002Forcid.org\u002F0000-0003-1575-0632",{"name":323,"orcid":324},"Lee‐Ann Niekerk","https:\u002F\u002Forcid.org\u002F0000-0002-9788-3131",{"name":326,"orcid":327},"Ashwil Klein","https:\u002F\u002Forcid.org\u002F0000-0002-5606-886X",{"name":329,"orcid":330},"Marshall Keyster","https:\u002F\u002Forcid.org\u002F0000-0002-8718-736X",{"name":332,"orcid":333},"Mbukeni Nkomo","https:\u002F\u002Forcid.org\u002F0000-0002-7652-1588",{"tldr":335,"method":336,"finding":337,"direction":338,"opportunity":339},"综述气候变化下干旱高温盐胁迫加剧菜豆壳球孢菌病害的机制与可持续防控策略。","整合转录组、蛋白组、代谢组、比较基因组及精准农业、遥感、AI预测等技术。","气候胁迫破坏激素与ROS平衡降低作物抗性，需多组学与智能技术实现早期预警和抗性管理。","农业人工智能与决策模型","可构建融合多组学与气象遥感的AI病害预警模型，并研发胁迫 priming 与生防协同的田间方案。","2026-09-22T23:30:22.790623Z",{"id":342,"title":343,"url":344,"summary":345,"summary_zh":346,"content":9,"source_name":347,"source_url":344,"published_at":348,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":349,"sources":352,"tags":354,"primary_topic":357,"secondary_topics":358,"classification":359,"search_phrases":399,"slug":402,"view_count":22,"doi":403,"paper":404,"created_at":415},2040,"Climate Change and Agricultural Insect Pests: Ecological Mechanisms, Crop Productivity Impacts and Climate Adaptation Strategies","https:\u002F\u002Fdoi.org\u002F10.47495\u002Fokufbed.2000761","Climate change has emerged as one of the most significant challenges affecting agricultural production systems worldwide. Rising temperatures, altered precipitation patterns, increasing atmospheric carbon dioxide concentrations, and the growing frequency of extreme weather events are substantially influencing the biology, ecology, distribution, and population dynamics of agricultural pests. These changes contribute to increased pest abundance, expanded geographical ranges, higher overwintering success, accelerated development rates, and greater numbers of generations per year. Consequently, pest-induced crop losses are expected to increase, posing serious threats to crop productivity, agricultural sustainability, and global food security. In addition to direct effects on pest populations, climate change disrupts plant–pest–natural enemy interactions and weakens biological control mechanisms, further increasing pest pressure within agricultural ecosystems. This review examines the effects of climate change on agricultural insect pest populations and evaluates their implications for crop productivity. Particular attention is given to temperature increases, changes in precipitation and humidity regimes, geographical distribution shifts, invasive species expansion, and phenological mismatches. Furthermore, innovative adaptation strategies including integrated pest management, artificial intelligence-based forecasting systems, precision agriculture technologies, climate-smart agriculture approaches, and remote sensing applications are discussed as potential tools for enhancing agricultural resilience under changing climatic conditions. The findings indicate that sustainable management of climate-related pest risks requires multidisciplinary approaches integrating climate information, pest monitoring, ecological processes, and advanced decision-support technologies. Developing climate-resilient, technology-supported and ecologically based pest management strategies will be essential for safeguarding agricultural productivity and long-term global food security.","气候变化已成为影响全球农业生产系统的最重大挑战之一。气温上升、降水模式改变、大气二氧化碳浓度增加以及极端天气事件日益频繁，正在显著影响农业害虫的生物学、生态学、分布和种群动态。这些变化导致害虫丰度增加、地理分布范围扩大、越冬成功率提高、发育速率加快以及每年世代数增多。因此，害虫引起的作物损失预计将增加，对作物生产力、农业可持续性和全球粮食安全构成严重威胁。除对害虫种群的直接影响外，气候变化还扰乱了植物—害虫—天敌之间的相互作用，削弱了生物防治机制，进一步加剧了农业生态系统内的害虫压力。本文综述了气候变化对农业害虫种群的影响，并评估了其对作物生产力的意义。特别关注了温度升高、降水和湿度状况变化、地理分布转移、入侵物种扩散以及物候错配等方面。此外，还讨论了创新性适应策略，包括有害生物综合治理、基于人工智能的预测系统、精准农业技术、气候智慧型农业方法以及遥感应用，作为在气候变化条件下增强农业韧性的潜在工具。研究结果表明，气候相关害虫风险的可持续管理需要多学科方法，整合气候信息、害虫监测、生态过程和先进决策支持技术。开发气候韧性、技术支撑和基于生态的害虫管理策略，对于保障农业生产力和长期全球粮食安全至关重要。","Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi","2026-09-09T00:00:00Z",{"impact":17,"substance":18,"depth":19,"authority":350,"freshness":140,"relevant":22,"comment":351},12,"系统综述气候变化对农业害虫生态机制与作物生产力的影响，并整合IPM、AI预测、精准农业与遥感等适应策略，对智慧植保与气候韧性农业有参考价值。",[353],{"name":347,"url":344},[247,355,27,356,28,30],"农业人工智能","病虫害防控",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":360},{"candidates":361,"agricultural_evidence":46},[362,366,370,374,378,383,387,393],{"code":33,"score":269,"supported":46,"title":363,"abstract":364,"tags":365},[48],[28,48],[28],{"code":82,"score":13,"supported":46,"title":367,"abstract":368,"tags":369},[],[281,85,282],[247],{"code":54,"score":55,"supported":46,"title":371,"abstract":372,"tags":373},[],[27,58],[27],{"code":94,"score":55,"supported":46,"title":375,"abstract":376,"tags":377},[],[287,288],[30],{"code":302,"score":379,"supported":46,"title":380,"abstract":381,"tags":382},4,[],[305],[355],{"code":291,"score":70,"supported":46,"title":384,"abstract":385,"tags":386},[],[294],[],{"code":388,"score":70,"supported":46,"title":389,"abstract":390,"tags":392},"H6",[],[391],"农业生态",[],{"code":394,"score":70,"supported":46,"title":395,"abstract":396,"tags":398},"J3",[],[397],"全球农业",[],[400,401],"农业人工智能 病虫害防控 智慧农业 气候变化","农业人工智能 病虫害防控","农业人工智能病虫害防控智慧农业气候变化-2040","10.47495\u002Fokufbed.2000761",{"doi":403,"openalex_id":405,"authors":406,"venue":347,"cited_by_count":116,"oa_url":344,"card":410,"direction":123,"ingested_from":124},"W7212022123",[407],{"name":408,"orcid":409},"Ekrem ASLAN","https:\u002F\u002Forcid.org\u002F0000-0001-8829-7301",{"tldr":411,"method":412,"finding":413,"direction":338,"opportunity":414},"综述气候变化对农业害虫生态机制、作物生产力影响及气候适应策略。","文献综述，整合气候数据、害虫监测与AI预测、遥感等技术。","气候变暖扩大害虫分布、增加世代与危害，削弱生物防治，威胁粮食安全。","可构建融合气候、遥感与AI的害虫风险预警决策模型，填补多尺度动态预测空白。","2026-09-10T23:30:09.295781Z",{"id":417,"title":418,"url":419,"summary":420,"summary_zh":421,"content":9,"source_name":422,"source_url":419,"published_at":423,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":424,"score_detail":425,"sources":427,"tags":429,"primary_topic":433,"secondary_topics":434,"classification":441,"search_phrases":488,"slug":491,"view_count":116,"doi":492,"paper":493,"created_at":516},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":20,"substance":17,"depth":269,"authority":350,"freshness":21,"relevant":22,"comment":426},"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。",[428],{"name":422,"url":419},[28,430,30,431,432],"盐碱地治理","智慧灌溉","土壤盐渍化",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[435,438],{"code":61,"slug":66,"name":436,"path":437,"parent_code":37},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":76,"slug":189,"name":439,"path":440,"parent_code":37},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":40,"locked":14,"version":41,"method":42,"evidence":442},{"candidates":443,"agricultural_evidence":46},[444,449,453,458,462,466,470,476,482],{"code":33,"score":17,"supported":46,"title":445,"abstract":446,"tags":448},[48],[28,447,50,48],"气候适应",[28],{"code":61,"score":269,"supported":46,"title":450,"abstract":451,"tags":452},[66],[65,66],[430],{"code":76,"score":13,"supported":46,"title":454,"abstract":455,"tags":457},[],[188,79,189,456],"evapotranspiration",[431],{"code":94,"score":55,"supported":46,"title":459,"abstract":460,"tags":461},[],[287,288],[30],{"code":54,"score":62,"supported":46,"title":463,"abstract":464,"tags":465},[],[27,58],[],{"code":82,"score":62,"supported":46,"title":467,"abstract":468,"tags":469},[],[281,282],[],{"code":88,"score":62,"supported":46,"title":471,"abstract":472,"tags":475},[],[473,474],"地理信息","geographic information",[],{"code":477,"score":70,"supported":46,"title":478,"abstract":479,"tags":481},"F3",[],[480],"养分管理",[],{"code":483,"score":70,"supported":46,"title":484,"abstract":485,"tags":487},"J1",[],[486],"农业政策",[],[489,490],"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":492,"openalex_id":494,"authors":495,"venue":422,"cited_by_count":116,"oa_url":419,"card":511,"direction":230,"ingested_from":124},"W7222999158",[496,498,500,502,504,506,509],{"name":497,"orcid":9},"Asifa Naz",{"name":499,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":501,"orcid":9},"Syed Asghar Hussain Shah",{"name":503,"orcid":9},"Shahrish Nawaz",{"name":505,"orcid":9},"Muhmmad Irfan",{"name":507,"orcid":508},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":510,"orcid":9},"Muhammad Nouman Khalid",{"tldr":512,"method":513,"finding":514,"direction":230,"opportunity":515},"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":518,"title":519,"url":520,"summary":521,"summary_zh":522,"content":9,"source_name":523,"source_url":520,"published_at":423,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":524,"score_detail":525,"sources":527,"tags":529,"primary_topic":533,"secondary_topics":534,"classification":542,"search_phrases":579,"slug":582,"view_count":116,"doi":583,"paper":584,"created_at":601},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":21,"substance":17,"depth":269,"authority":62,"freshness":21,"relevant":22,"comment":526},"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。",[528],{"name":523,"url":520},[27,530,29,531,532],"小农户","农业推广","津巴布韦",{"code":54,"slug":250,"name":251,"path":252,"parent_code":154},[535,541],{"code":536,"slug":537,"name":538,"path":539,"parent_code":540},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":543},{"candidates":544,"agricultural_evidence":46},[545,549,554,558,564,568,575],{"code":54,"score":269,"supported":46,"title":546,"abstract":547,"tags":548},[58],[27,58],[27],{"code":536,"score":269,"supported":46,"title":550,"abstract":552,"tags":553},[551],"smallholder",[530,551],[530],{"code":33,"score":13,"supported":46,"title":555,"abstract":556,"tags":557},[],[28,50,48,51],[29],{"code":559,"score":55,"supported":46,"title":560,"abstract":561,"tags":563},"G1",[],[531,562],"agricultural extension",[531],{"code":175,"score":62,"supported":46,"title":565,"abstract":566,"tags":567},[],[178,179],[],{"code":569,"score":62,"supported":46,"title":570,"abstract":571,"tags":574},"G3",[],[572,573],"农村金融","rural finance",[],{"code":82,"score":70,"supported":46,"title":576,"abstract":577,"tags":578},[],[85],[],[580,581],"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":583,"openalex_id":585,"authors":586,"venue":523,"cited_by_count":116,"oa_url":9,"card":595,"direction":123,"ingested_from":124},"W7223029383",[587,590,593],{"name":588,"orcid":589},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":591,"orcid":592},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":594,"orcid":9},"Patience Mutopo",{"tldr":596,"method":597,"finding":598,"direction":599,"opportunity":600},"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":603,"title":604,"url":605,"summary":606,"summary_zh":607,"content":9,"source_name":608,"source_url":605,"published_at":609,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":610,"score_detail":611,"sources":613,"tags":615,"primary_topic":618,"secondary_topics":619,"classification":621,"search_phrases":662,"slug":665,"view_count":116,"doi":9,"paper":666,"created_at":680},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":18,"depth":19,"authority":350,"freshness":62,"relevant":22,"comment":612},"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。",[614],{"name":608,"url":605},[247,27,28,616,617],"适应性策略","水资源短缺",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[620],{"code":76,"slug":189,"name":439,"path":440,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":622},{"candidates":623,"agricultural_evidence":46},[624,628,632,636,643,647,654,658],{"code":33,"score":17,"supported":46,"title":625,"abstract":626,"tags":627},[48],[28,50,48,51],[28],{"code":76,"score":140,"supported":46,"title":629,"abstract":630,"tags":631},[],[188,79,189],[],{"code":54,"score":55,"supported":46,"title":633,"abstract":634,"tags":635},[],[27,58],[27],{"code":637,"score":62,"supported":46,"title":638,"abstract":639,"tags":642},"A2",[],[640,641],"小麦","wheat",[],{"code":175,"score":62,"supported":46,"title":644,"abstract":645,"tags":646},[],[178,179],[],{"code":648,"score":62,"supported":46,"title":649,"abstract":650,"tags":653},"A6",[],[651,652],"棉花","cotton",[],{"code":82,"score":379,"supported":46,"title":655,"abstract":656,"tags":657},[],[85],[247],{"code":388,"score":70,"supported":46,"title":659,"abstract":660,"tags":661},[],[391],[],[663,664],"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":9,"openalex_id":667,"authors":668,"venue":608,"cited_by_count":116,"oa_url":605,"card":675,"direction":123,"ingested_from":124},"W7222907396",[669,671,673],{"name":670,"orcid":9},"Mohammad Shafiq Faieq",{"name":672,"orcid":9},"Mustafa Abid",{"name":674,"orcid":9},"Abdul khalil Afghani",{"tldr":676,"method":677,"finding":678,"direction":121,"opportunity":679},"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"]