[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3477":3,"related-3477":134},{"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":45,"search_phrases":99,"slug":102,"view_count":103,"doi":104,"paper":105,"created_at":133},3477,"Ratoon rice under a changing climate: Physiological responses and management strategies","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.16473","Ratoon rice has gained attention as a sustainable strategy for maintaining rice productivity under changing climatic conditions, where rising temperatures, irregular rainfall, droughts, floods and other extreme weather events threaten crop productivity and global food security. Ratoon rice has emerged as a resource efficient and climate smart production method as it makes use of the regenerative ability of plants to generate a second harvest from stubble of the main crop. Compared to conventional rice cultivation, ratoon rice requires less labor, reduced inputs and a shorter growing period while improving land, water and nutrient use efficiency. However, the physiological responses of rice plants to changing environmental conditions are important for the success of ratoon crops. Bud regeneration, carbohydrate reserve mobilisation, hormonal regulation, photosynthetic efficiency and source sink relationship play a critical role in determining ratoon establishment and yield under climatic stress. Ratoon rice is more resilient to heat, drought, flooding and other environmental challenges when the appropriate management techniques such as optimal stubble height, balanced nutrition, effective irrigation and plant growth regulators are used. Furthermore, improving soil health through organic amendments and beneficial microbial interactions contributes to greater stress tolerance and sustainable productivity. Ratoon rice production is still limited despite its potential due to automation issues, yield instability and climate related hazards. To enhance the adaptation under shifting climatic conditions, future research should concentrate on creating climate-resilient ratoon cultivars, precision nutrient and water management technologies and decision support systems. This review summarises the physiological response of ratoon rice to climate change and highlights effective management strategies that can enhance productivity, resource use efficiency and sustainability, thereby supporting resilient rice production and long term food security.","再生稻作为一种在气候变化条件下维持水稻生产力的可持续策略而受到关注，气温升高、降雨不规律、干旱、洪涝及其他极端天气事件正威胁作物生产力和全球粮食安全。再生稻已成为一种资源高效且气候智慧型的生产方式，因为它利用植物的再生能力，从主作物的稻桩上获得第二次收获。与传统水稻栽培相比，再生稻所需劳动力更少、投入更低、生育期更短，同时提高了土地、水分和养分利用效率。然而，水稻植株对环境条件变化的生理响应对于再生稻作的成功至关重要。在气候胁迫下，芽再生、碳水化合物储备动员、激素调控、光合效率及源库关系在决定再生稻建成和产量方面发挥着关键作用。当采用适宜的管理技术，如最佳留桩高度、平衡营养、有效灌溉和植物生长调节剂时，再生稻对高温、干旱、洪涝及其他环境挑战具有更强的适应力。此外，通过有机改良和有益微生物互作改善土壤健康，有助于提高抗逆性和可持续生产力。尽管再生稻生产潜力巨大，但由于自动化问题、产量不稳定及气候相关灾害，其发展仍然受限。为增强在不断变化的气候条件下的适应性，未来研究应集中于培育气候韧性再生稻品种、精准养分和水分管理技术及决策支持系统。本综述总结了再生稻对气候变化的生理响应，并重点介绍了能够提高生产力、资源利用效率和可持续性的有效管理策略，从而支持具有韧性的水稻生产和长期粮食安全。",null,"Plant Science Today","2026-09-23T00:00:00Z","论文",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},15,20,17,13,8,1,"综述系统梳理再生稻应对气候变化的生理机制与管理策略，专业性强但属学术综述，产业即时影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"智慧农业","粮食安全","再生稻","气候变化","水稻栽培",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"A1","rice","水稻","\u002Ftopic\u002Ffield-crops\u002Frice","A",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":53},[51,57,65,72,80,87,94],{"code":33,"score":52,"supported":53,"title":54,"abstract":55,"tags":56},18,true,[34],[35,29,34],[29],{"code":40,"score":13,"supported":53,"title":58,"abstract":59,"tags":64},[],[30,60,61,62,63],"干旱","洪涝","climate change","drought",[30],{"code":66,"score":67,"supported":53,"title":68,"abstract":69,"tags":71},"A8",7,[],[28,70],"food security",[28],{"code":73,"score":74,"supported":53,"title":75,"abstract":76,"tags":79},"H2",6,[],[77,78],"土壤","soil",[],{"code":81,"score":74,"supported":53,"title":82,"abstract":83,"tags":86},"H3",[],[84,85],"灌溉","irrigation",[],{"code":88,"score":89,"supported":53,"title":90,"abstract":91,"tags":93},"I2",3,[],[92],"decision support",[],{"code":95,"score":22,"supported":14,"title":96,"abstract":97,"tags":98},"I1",[],[],[27],[100,101],"再生稻 气候变化 栽培管理","Plant Science Today 再生稻","再生稻气候变化栽培管理-3477",2,"10.14719\u002Fpst.16473",{"doi":104,"openalex_id":106,"authors":107,"venue":10,"cited_by_count":123,"oa_url":124,"card":125,"direction":131,"ingested_from":132},"W7214098380",[108,111,114,117,120],{"name":109,"orcid":110},"R Abirami","https:\u002F\u002Forcid.org\u002F0009-0002-8075-9908",{"name":112,"orcid":113},"R Vigneshwari","https:\u002F\u002Forcid.org\u002F0000-0002-4417-1034",{"name":115,"orcid":116},"K. Malarkodi","https:\u002F\u002Forcid.org\u002F0000-0002-8974-9389",{"name":118,"orcid":119},"N Sakthivel","https:\u002F\u002Forcid.org\u002F0009-0005-8248-3812",{"name":121,"orcid":122},"Koothan Vanitha","https:\u002F\u002Forcid.org\u002F0000-0001-8516-9275",0,"https:\u002F\u002Fhorizonepublishing.com\u002Fjournals\u002Findex.php\u002FPST\u002Farticle\u002Fdownload\u002F16473\u002F16260",{"tldr":126,"method":127,"finding":128,"direction":129,"opportunity":130},"综述再生稻在气候变化下的生理响应与栽培管理策略，以提升产量与可持续性。","文献综述，聚焦再生芽、碳储备、激素、光合及源库关系等生理机制。","优化留桩高度、水肥与生长调节剂可增强再生稻抗逆性，但自动化与产量稳定性仍受限。","农业绿色发展与碳","可研发气候韧性再生稻品种及精准水肥决策支持系统，并探索微生物互作提升抗逆性。","智慧农业 \u002F 农业物联网","openalex","2026-09-25T23:30:11.458343Z",{"total":74,"page":22,"page_size":74,"items":135},[136,198,259,322,406,451],{"id":137,"title":138,"url":139,"summary":140,"summary_zh":141,"content":9,"source_name":142,"source_url":139,"published_at":143,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":144,"score_detail":145,"sources":150,"tags":152,"primary_topic":155,"secondary_topics":156,"classification":158,"search_phrases":179,"slug":182,"view_count":89,"doi":183,"paper":184,"created_at":197},2920,"Breeding rice for optimal maturity across diverse sowing windows under future climate change scenarios in Chongqing area","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1899019","Introduction It is of great significance to optimize rice cultivars for different sowing dates under future climate change for rice sustainable production in Chongqing. Methods In this study, using the APSIM-Rice model and Coupled Model Intercomparison Project Phase 6 (CMIP6) Shared Socioeconomic Pathways (SSP) scenarios, we investigated the changes of yield, water consumption and water use efficiency (WUE) across six sowing dates and three cultivars (early, normal and late-maturing cultivars) under baseline period (1981 – 2010) and future climate 2scenarios (2031-2100, SSP2-4.5 and SSP5-8.5). In this study, the climate model BCC-CSM2-MR was selected due to its reliable simulation of China’s climate and compatibility with the APSIM-Rice model. Results Results showed that rice yield with normal cultivar in the baseline period peaked on March 30, with the value of 6,310 kg ha− −1 , and reached its minimum on March 1, with the value of 4,580 kg ha− −1 . Water consumption during the rice growing period increased with the delayed sowing dates (212 mm on March 1 to 276 mm on April 20). The response trend of water use efficiency (WUE) to different sowing dates was identical to that of yield, with the maximum WUE of 23.30 kg ha− −1 mm −1 achieved when sown on March 30. Under future SSP2-4.5 and SSP5-8.5 scenarios, early sowing (March 1–20) consistently enhanced yield and WUE for normal cultivars (maximum increments were 25.40% and 29.00% for yield and WUE), while late sowing (March 30–April 20) caused severe losses (up to 26.90% and 34.60% for yield and WUE for April 10 under SSP5-8.5 in the 2060s), with water consumption rising across all sowing dates. Early-maturing cultivars reduced yield (10.60%–44.60%) and WUE (7.70%–43.90%) across all sowing dates under future scenarios, whereas late-maturing cultivars synergized with early sowing to boost yield (up to 25.62%) and WUE (up to 32.85%) but exacerbated losses for late sowing, with water consumption increasing significantly (up to 56.30% under SSP5-8.5 in the 2060s). Discussion These findings provide critical scientific support for optimizing sowing date and cultivar combinations, thereby enhancing the climate resilience and sustainability of rice production in Chongqing and similar subtropical monsoon regions. However, in the future, more climate models, extreme climate impacts, and agronomic factors should be considered","引言 优化不同播期下的水稻品种对重庆未来气候变化背景下的水稻可持续生产具有重要意义。方法 本研究利用APSIM-Rice模型和耦合模式比较计划第六阶段（CMIP6）共享社会经济路径（SSP）情景，研究了基准期（1981—2010年）和未来气候情景（2031—2100年，SSP2-4.5和SSP5-8.5）下6个播期和3个品种（早熟、中熟和晚熟品种）的产量、耗水量和水分利用效率（WUE）变化。本研究选择气候模式BCC-CSM2-MR，因其对中国气候的模拟可靠且与APSIM-Rice模型兼容。结果 结果表明，基准期中熟品种水稻产量在3月30日达到峰值，为6 310 kg ha⁻¹，在3月1日降至最低，为4 580 kg ha⁻¹。水稻生育期耗水量随播期推迟而增加（3月1日的212 mm增至4月20日的276 mm）。水分利用效率（WUE）对不同播期的响应趋势与产量一致，3月30日播种时WUE最高，为23.30 kg ha⁻¹ mm⁻¹。在未来SSP2-4.5和SSP5-8.5情景下，早播（3月1—20日）持续提高中熟品种的产量和WUE（产量和WUE的最大增幅分别为25.40%和29.00%），而晚播（3月30日—4月20日）造成严重损失（在2060年代SSP5-8.5情景下，4月10日播种的产量和WUE损失分别高达26.90%和34.60%），且所有播期的耗水量均增加。在未来情景下，早熟品种在所有播期均降低产量（10.60%—44.60%）和WUE（7.70%—43.90%），而晚熟品种与早播协同提高产量（最高25.62%）和WUE（最高32.85%），但加剧了晚播的损失，耗水量显著增加（在2060年代SSP5-8.5情景下最高达56.30%）。讨论 这些发现为优化播期和品种组合提供了关键科学支撑，从而增强重庆及类似亚热带季风区水稻生产的气候韧性和可持续性。然而，未来应考虑更多气候模式、极端气候影响和农艺因素。","Frontiers in Sustainable Food Systems","2026-09-18T00:00:00Z",78,{"impact":146,"substance":147,"depth":52,"authority":20,"freshness":148,"relevant":22,"comment":149},16,22,9,"基于APSIM-Rice与CMIP6情景模拟重庆水稻播期与品种组合，数据扎实、结论对区域气候适应性育种有参考价值，但属细分领域研究，影响力有限。",[151],{"name":142,"url":139},[27,35,30,153,154],"品种选育","播期优化",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[157],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":159},{"candidates":160,"agricultural_evidence":53},[161,166,170,175],{"code":40,"score":52,"supported":53,"title":162,"abstract":163,"tags":165},[62],[30,62,164],"climate resilience",[30],{"code":33,"score":17,"supported":53,"title":167,"abstract":168,"tags":169},[34],[35,34],[35],{"code":171,"score":22,"supported":14,"title":172,"abstract":173,"tags":174},"F1",[],[],[153],{"code":95,"score":22,"supported":14,"title":176,"abstract":177,"tags":178},[],[],[27],[180,181],"APSIM-Rice 水稻 播期","重庆 水稻 品种 气候","APSIM-Rice水稻播期-2920","10.3389\u002Ffsufs.2026.1899019",{"doi":183,"openalex_id":185,"authors":186,"venue":142,"cited_by_count":123,"oa_url":139,"card":191,"direction":195,"ingested_from":132},"W7213555399",[187,189],{"name":188,"orcid":9},"Jianzhao Tang",{"name":190,"orcid":9},"Jianping Zhang",{"tldr":192,"method":193,"finding":194,"direction":195,"opportunity":196},"用APSIM-Rice与CMIP6情景模拟重庆不同播期和品种水稻产量、耗水与水分利用效率。","APSIM-Rice模型结合CMIP6 SSP2-4.5\u002FSSP5-8.5情景及","未来早播配晚熟品种可增产提效，晚播则大幅减产，各播期耗水均上升。","农业人工智能与决策模型","可引入多模型集合、极端气候与氮肥管理等农艺因素，优化播期-品种组合的适应策略。","2026-09-19T23:30:08.567885Z",{"id":199,"title":200,"url":201,"summary":202,"summary_zh":203,"content":9,"source_name":142,"source_url":201,"published_at":204,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":205,"score_detail":206,"sources":209,"tags":211,"primary_topic":216,"secondary_topics":217,"classification":219,"search_phrases":237,"slug":240,"view_count":103,"doi":241,"paper":242,"created_at":258},4330,"Youth and the future of labor- and knowledge-intensive small-scale farming in West Africa under climate change and political instability","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1884625","Debates on the future of smallholder farming in sub-Saharan Africa often interpret rural youth mobility and non-farm work as withdrawal from agriculture. This article examines how rural youth in coastal Guinea-Bissau engage with labour- and knowledge-intensive, climate-vulnerable mangrove swamp rice farming, and the conditions under which agriculture remains part of their imagined futures. We combine long-term ethnographic research, updated between 2020 and 2024, with a survey of 770 household heads in 13 villages, 98 biographical interviews, and conversations and group discussions involving 90 participants across 17 villages. Quantitative indicators were compared across household-head age groups, while qualitative material was analysed thematically and narratively. Results show that many young household heads remain engaged in agriculture while combining it with education, mobility and non-farm activities. Age differences in access to mangrove rice land are limited, although young household heads face higher dependency ratios and substantial rice deficits. Biographical evidence indicates that mobility and non-farm earnings often complement rather than replace agriculture. Nevertheless, climate-related risks, high labour costs, weak markets, political instability and inadequate rural services undermine its attractiveness. The study challenges binary portrayals of youth as either farmers or agricultural ‘exiters’ and shows that the future of mangrove rice farming depends on enabling diversified and mobile rural livelihoods.","关于撒哈拉以南非洲小农农业未来的争论，常将农村青年流动与非农工作解读为脱离农业。本文考察了几内亚比绍沿海农村青年如何参与劳动与知识密集、易受气候影响的红树林沼泽稻作农业，以及在何种条件下农业仍留在他们设想中的未来里。我们结合了长期民族志研究（2020年至2024年间更新），以及对13个村庄770名户主的调查、98份传记访谈，以及覆盖17个村庄90名参与者的对话和小组讨论。定量指标按户主年龄组进行比较，定性材料则进行主题和叙事分析。结果表明，许多年轻户主仍从事农业，同时将其与教育、流动和非农活动相结合。获得红树林稻田方面的年龄差异有限，尽管年轻户主面临更高的抚养比和严重的水稻短缺。传记证据表明，流动和非农收入往往补充而非取代农业。然而，气候相关风险、高劳动力成本、薄弱市场、政治不稳定和农村服务不足削弱了其吸引力。该研究挑战了将青年二分为农民或农业“退出者”的刻板印象，并表明红树林稻作农业的未来取决于能否实现多元化和流动性的农村生计。","2026-10-06T00:00:00Z",68,{"impact":21,"substance":207,"depth":19,"authority":20,"freshness":148,"relevant":22,"comment":208},21,"基于长期田野调查与770户问卷的西非红树林水稻研究，方法扎实、结论有反思价值，但地域性强、与国内农业信息化关联有限，适合作为国际视野类选题而非每日精选头条。",[210],{"name":142,"url":201},[30,212,213,214,215],"水稻种植","西非农业","小农农业","农村青年",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[218],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":220},{"candidates":221,"agricultural_evidence":53},[222,227,231],{"code":33,"score":13,"supported":53,"title":223,"abstract":224,"tags":226},[],[35,225,34],"稻田",[212],{"code":40,"score":148,"supported":53,"title":228,"abstract":229,"tags":230},[62],[],[30],{"code":232,"score":89,"supported":53,"title":233,"abstract":234,"tags":236},"G2",[],[235],"smallholder",[],[238,239],"几内亚比绍 红树林水稻","西非 小农农业 青年","几内亚比绍红树林水稻-4330","10.3389\u002Ffsufs.2026.1884625",{"doi":241,"openalex_id":243,"authors":244,"venue":142,"cited_by_count":123,"oa_url":251,"card":252,"direction":256,"ingested_from":132},"W7220725843",[245,248],{"name":246,"orcid":247},"Merlin Leunda Martiarena","https:\u002F\u002Forcid.org\u002F0000-0001-5096-0737",{"name":249,"orcid":250},"Marina Padrão Temudo","https:\u002F\u002Forcid.org\u002F0000-0002-8254-4233","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1884625\u002Fpdf",{"tldr":253,"method":254,"finding":255,"direction":256,"opportunity":257},"研究西非青年如何参与劳动与知识密集的红树林水稻种植，并探讨农业仍在其未来想象中保留的条件。","长期民族志（2020-2024更新）结合770户调查、98份传记访谈及17村小组","青年常将务农与教育、流动和非农活动结合，流动与非农收入补充而非替代农业，但气候风险、高劳动成本、弱市","数字乡村与农业信息化","可探索数字服务与信息干预如何降低劳动成本、改善市场接入，从而增强气候脆弱区青年务农的吸引力。","2026-10-07T23:30:06.363343Z",{"id":260,"title":261,"url":262,"summary":263,"summary_zh":9,"content":9,"source_name":264,"source_url":9,"published_at":265,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":266,"score_detail":267,"sources":271,"tags":273,"primary_topic":277,"secondary_topics":278,"classification":283,"search_phrases":309,"slug":312,"view_count":89,"doi":9,"paper":313,"created_at":321},4159,"Dynamic regulation of grid-scale high-efficiency precision irrigation for rice under climate variability（基于气候变化的网格尺度水稻精准灌溉动态调控）","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs44264-026-00172-7","Dong Wenhao、Xu YaoWen、Zhangzhong Lili、Xu Xianghui、Wei Shiyu、Sun Ziqiang、Chen Yingshan、Zhang Pingan、Li Mo（npj Sustainable Agriculture 2026, 4(1): 61）。针对气候变化与区域水量供需失衡，文章提出「模拟-优化」协同的网格尺度水稻精准灌溉调度框架：使用WOFOST模型结合Sobol敏感性分析与粒子群优化，与多目标优化模型耦合生成可动态调整的灌溉策略。在黑龙江省三江平原与松嫩平原（332,500 km²）应用：模型精度提高，区域产量提升1.5%、灌溉用水减少8.0%；动态调度策略相比传统灌溉节水10.1%。","npj Sustainable Agriculture 2026, 4(1): 61","2026-09-28T00:00:00Z",83,{"impact":147,"substance":268,"depth":52,"authority":269,"freshness":74,"relevant":22,"comment":270},23,14,"核心期刊论文，提出模拟-优化协同的网格尺度水稻精准灌溉框架，在三江平原等区域验证节水增产效果，方法新颖、数据规模大，对智慧农业与气候适应有参考价值。",[272],{"name":264,"url":262},[27,35,274,275,276],"气候适应","精准灌溉","三江平原",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[279,282],{"code":81,"slug":85,"name":280,"path":281,"parent_code":44},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":284},{"candidates":285,"agricultural_evidence":53},[286,290,294,299,305],{"code":33,"score":18,"supported":53,"title":287,"abstract":288,"tags":289},[35,34],[35],[35],{"code":81,"score":18,"supported":53,"title":291,"abstract":292,"tags":293},[84,85],[84],[275],{"code":40,"score":295,"supported":53,"title":296,"abstract":297,"tags":298},12,[30],[30],[274],{"code":300,"score":89,"supported":53,"title":301,"abstract":302,"tags":304},"H8",[],[303],"sustainable agriculture",[],{"code":95,"score":22,"supported":14,"title":306,"abstract":307,"tags":308},[],[],[27],[310,311],"三江平原 水稻 精准灌溉","WOFOST 水稻 灌溉调度","三江平原水稻精准灌溉-4159",{"doi":9,"openalex_id":9,"authors":314,"venue":9,"cited_by_count":123,"oa_url":9,"card":315,"direction":131,"ingested_from":320},[],{"tldr":316,"method":317,"finding":318,"direction":131,"opportunity":319},"提出模拟-优化协同的网格尺度水稻精准灌溉调度框架，实现动态调控。","WOFOST作物模型、Sobol敏感性分析、粒子群优化与多目标优化耦合。","区域产量提升1.5%、灌溉用水减少8.0%，动态调度较传统灌溉节水10.1%。","可探索将网格尺度灌溉调度与实时物联网墒情监测、遥感数据同化结合，实现气候变率下的在线滚动优化。","agent","2026-10-04T00:09:10.154416Z",{"id":323,"title":324,"url":325,"summary":326,"summary_zh":327,"content":9,"source_name":328,"source_url":325,"published_at":329,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":330,"score_detail":331,"sources":333,"tags":335,"primary_topic":339,"secondary_topics":340,"classification":342,"search_phrases":371,"slug":374,"view_count":74,"doi":375,"paper":376,"created_at":405},1898,"Connecting earth observation anomalies to farmer surveys for monitoring impacts of agricultural drought on rainfed rice yields in Nigeria","https:\u002F\u002Fdoi.org\u002F10.5194\u002Feo-1-77-2026","Abstract. Agricultural drought threatens rainfed rice production in Nigeria, where smallholder farmers depend on rainfall and have limited capacity to buffer climate shocks. While meteorological drought indices such as the SPI and the SPEI are widely used in national early warning systems, their ability to capture the impacts of droughts on rainfed rice yields at the smallholder field-level remains uncertain. This study evaluates the added value of earth observation (EO)-derived vegetation and soil moisture anomalies for monitoring and predicting drought impacts on rainfed rice yields in Nigeria. Satellite-based Normalized Difference Vegetation Index anomalies (NDVIA) and Soil Water Index anomalies (SWIA) were derived using a zonal clustering and thresholding approach and combined with farmer survey and yield data collected from 146 rainfed rice farmers across four major rice-growing states between 2019 and 2024. Multivariate regression models were used to assess the relationships between EO indicator anomalies and annual yield changes, and the effects of different zonal clustering and anomaly thresholds on anomaly calculation were evaluated. Results show that SPI and SPEI explain a substantial share of yield variability in some years, particularly when droughts coincide with sensitive phenological stages. However, EO-based anomaly indicators, especially SWIA (maximum improved R2 = 0.25), provide complementary information and significantly improve yield predictions in years when meteorological indices alone perform poorly. The timing of anomalies relative to rice phenology was critical, with droughts during panicle initiation having the largest yield impacts. Integrating EO-based vegetation and soil moisture anomaly indicators with existing meteorological indices can contribute to the monitoring of agricultural droughts and improve the operational relevance of early warning systems for rainfed rice farmers in Nigeria.","摘要：农业干旱威胁着尼日利亚依赖雨养的水稻生产，当地小农户依靠降雨为生，缓冲气候冲击的能力有限。尽管诸如标准化降水指数（SPI）和标准化降水蒸散指数（SPEI）等气象干旱指数被广泛应用于国家早期预警系统，但它们在捕捉小农田间尺度上干旱对雨养水稻产量影响的能力仍不确定。本研究评估了基于地球观测（EO）的植被和土壤湿度异常在监测和预测尼日利亚干旱对雨养水稻产量影响方面的附加价值。采用分区聚类和阈值方法，推导出基于卫星的归一化差异植被指数异常（NDVIA）和土壤水分指数异常（SWIA），并结合2019年至2024年间从四个主要水稻种植州的146位雨养水稻农户收集的农户调查和产量数据。使用多元回归模型评估EO指标异常与年度产量变化之间的关系，并评估不同分区聚类和异常阈值对异常计算的影响。结果表明，在某些年份，SPI和SPEI解释了产量变异的很大一部分，特别是当干旱与敏感物候阶段重合时。然而，基于EO的异常指标，尤其是SWIA（最大改进R²=0.25），提供了补充信息，并在气象指数单独表现不佳的年份显著改善了产量预测。异常相对于水稻物候的时机至关重要，穗分化期发生的干旱对产量影响最大。将基于EO的植被和土壤湿度异常指标与现有气象指数相结合，有助于监测农业干旱，并提高尼日利亚雨养水稻农户早期预警系统的业务相关性。","Earth Observation","2026-09-07T00:00:00Z",74,{"impact":17,"substance":147,"depth":52,"authority":295,"freshness":67,"relevant":22,"comment":332},"研究结合遥感与农户调查，提升雨养水稻干旱监测精度，对非洲小农预警有参考价值。",[334],{"name":328,"url":325},[27,336,35,337,338],"农业遥感","干旱监测","尼日利亚",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[341],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":343},{"candidates":344,"agricultural_evidence":53},[345,349,353,358,362,366],{"code":33,"score":17,"supported":53,"title":346,"abstract":347,"tags":348},[34],[35,34],[35],{"code":40,"score":17,"supported":53,"title":350,"abstract":351,"tags":352},[63],[60,63],[337],{"code":232,"score":74,"supported":53,"title":354,"abstract":355,"tags":357},[],[356,235],"小农户",[],{"code":73,"score":74,"supported":53,"title":359,"abstract":360,"tags":361},[],[77,78],[],{"code":95,"score":22,"supported":14,"title":363,"abstract":364,"tags":365},[],[],[27],{"code":367,"score":22,"supported":14,"title":368,"abstract":369,"tags":370},"I3",[],[],[336],[372,373],"农业遥感 尼日利亚 干旱监测 智慧农业","农业遥感 尼日利亚","农业遥感尼日利亚干旱监测智慧农业-1898","10.5194\u002Feo-1-77-2026",{"doi":375,"openalex_id":377,"authors":378,"venue":328,"cited_by_count":123,"oa_url":325,"card":399,"direction":403,"ingested_from":132},"W7162756810",[379,382,384,387,389,392,395,397],{"name":380,"orcid":381},"Nick Gutkin","https:\u002F\u002Forcid.org\u002F0000-0003-4708-3483",{"name":383,"orcid":9},"Chiamaka I. Ehiemere",{"name":385,"orcid":386},"Koen De Vos","https:\u002F\u002Forcid.org\u002F0000-0002-4607-7877",{"name":388,"orcid":9},"Nnamdi Ehiemere",{"name":390,"orcid":391},"Jeroen Degerickx","https:\u002F\u002Forcid.org\u002F0000-0001-9022-9623",{"name":393,"orcid":394},"Sarah Gebruers","https:\u002F\u002Forcid.org\u002F0000-0001-8426-4158",{"name":396,"orcid":9},"Uchechukwu Nwafor",{"name":398,"orcid":9},"Anne Gobin",{"tldr":400,"method":401,"finding":402,"direction":403,"opportunity":404},"评估EO异常指标监测尼日利亚雨养水稻干旱影响，补充气象指数，提高产量预测。","结合NDVI和土壤水分指数异常、聚类阈值法、农户调查与回归模型。","EO指标（尤其SWIA）补充气象指数，显著提高干旱年份产量预测，关键物候期干旱影响最大。","农业遥感与作物表型","可探索将EO异常与物候模型结合，开发针对小农的干旱预警系统，并验证其他作物和区域。","2026-09-08T23:30:18.761711Z",{"id":407,"title":408,"url":409,"summary":410,"summary_zh":9,"content":411,"source_name":412,"source_url":9,"published_at":413,"category":414,"cover_url":9,"hotness":13,"is_selected":14,"score":415,"score_detail":416,"sources":418,"tags":420,"primary_topic":425,"secondary_topics":426,"classification":428,"search_phrases":445,"slug":448,"view_count":449,"doi":9,"paper":9,"created_at":450},778,"[湖北省农业农村厅]台风消散田管紧 抢抓灾后「黄金期」——8月20日发布本周农业气象与服务快报,重点抓稻飞虱等病虫害防治","https:\u002F\u002Fnyt.hubei.gov.cn\u002Fdtyw\u002F202608\u002Ft20260820_5997884.shtml","湖北省气候中心、省农业技术推广总站8月20日发布本周农业气象与服务快报:8月19日至21日十堰、襄阳、宜昌、咸宁等局地有「坨子雨」;22日至23日受南海低压外围云系影响,鄂东南和鄂西可能有局地暴雨;部分地区最高气温32-36℃,局地38℃以上。生产建议:抢抓农时加快推进收获作业,再生稻头季收割留茬高度控制在40厘米以上,尽量在8月20日左右完成;棉花因地制宜喷施生长调节剂与叶面肥的混合液;水稻重点监测稻飞虱、稻纵卷叶螟等迁飞性害虫,稻飞虱百丛虫量达1000头以上立即启动达标防治。","一是抢抓农时，加快推进收获作业。统筹调度收割、烘干、仓储等各类主体，引导新型主体和广大农户对成熟适宜的再生稻头季和春玉米进行即收即烘即储。再生稻头季收割留茬高度控制在40厘米以上，尽量在8月20日左右完成收获，为再生芽萌发和后续生长留足时间。春玉米根据含水量情况合理选用机械摘穗或直接机械脱粒收获方式。\n\n二是因田施策，抓实田间精细管理。再生稻头季收割后3-4天复水，先灌“跑马水”润田，次日保持2-3厘米浅水层，以利透气护芽；同步追施10-12公斤复合肥作提苗肥，促进再生芽早发快长。双季晚稻根据苗情逐步开始排水晒田，长势偏弱田块增施3-5公斤尿素促进分蘖。棉花因地制宜喷施生长调节剂与叶面肥的混合液，优化株型结构，促进棉铃生长发育。\n\n三是突出重点，科学防治病虫为害。水稻重点监测稻飞虱、稻纵卷叶螟等迁飞性害虫的发生动态，当稻飞虱百丛虫量达到1000头以上、穗期百丛虫量达到1500头以上时，务必列为重点田块，立即启动达标防治。夏玉米重点抓好玉米螟、草地贪夜蛾等迁飞性害虫的监测，抓住低龄幼虫期开展防治。夏大豆关注豆荚螟、点蜂缘蝽等钻蛀性、刺吸性害虫发生情况，避免造成落花落荚。棉花加强盲蝽、棉叶蝉、甜菜夜蛾的巡查，保护蕾铃，减少落桃。（湖北日报记者崔逾瑜、通讯员曹鹏）","湖北省农业农村厅 2026-08-20","2026-08-20T00:00:00Z","报道",75,{"impact":52,"substance":18,"depth":146,"authority":295,"freshness":148,"relevant":22,"comment":417},"省级农业部门发布的灾后田管与病虫害防治指导，含具体技术措施和防治指标，对当前农业生产有实际指导价值。",[419],{"name":412,"url":409},[421,29,422,423,424],"湖北","稻飞虱","灾后田管","农业气象",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[427],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":46,"locked":14,"version":47,"method":48,"evidence":429},{"candidates":430,"agricultural_evidence":53},[431,435,439],{"code":40,"score":295,"supported":53,"title":432,"abstract":433,"tags":434},[424],[424],[424],{"code":33,"score":21,"supported":53,"title":436,"abstract":437,"tags":438},[],[35,29],[29,422],{"code":440,"score":89,"supported":53,"title":441,"abstract":442,"tags":444},"A6",[],[443],"棉花",[],[446,447],"农业气象 灾后田管 再生稻 稻飞虱","农业气象 灾后田管","农业气象灾后田管再生稻稻飞虱-778",5,"2026-08-21T00:05:56.288933Z",{"id":452,"title":453,"url":454,"summary":455,"summary_zh":456,"content":9,"source_name":457,"source_url":454,"published_at":458,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":459,"sources":461,"tags":463,"primary_topic":466,"secondary_topics":467,"classification":469,"search_phrases":516,"slug":519,"view_count":123,"doi":9,"paper":520,"created_at":534},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",{"impact":52,"substance":18,"depth":19,"authority":295,"freshness":74,"relevant":22,"comment":460},"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。",[462],{"name":457,"url":454},[27,28,30,464,465],"适应性策略","水资源短缺",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[468],{"code":81,"slug":85,"name":280,"path":281,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":470},{"candidates":471,"agricultural_evidence":53},[472,476,481,485,492,499,504,510],{"code":40,"score":52,"supported":53,"title":473,"abstract":474,"tags":475},[62],[30,60,62,63],[30],{"code":81,"score":148,"supported":53,"title":477,"abstract":478,"tags":480},[],[84,479,85],"水资源",[],{"code":66,"score":67,"supported":53,"title":482,"abstract":483,"tags":484},[],[28,70],[28],{"code":486,"score":74,"supported":53,"title":487,"abstract":488,"tags":491},"A2",[],[489,490],"小麦","wheat",[],{"code":493,"score":74,"supported":53,"title":494,"abstract":495,"tags":498},"A3",[],[496,497],"玉米","maize",[],{"code":440,"score":74,"supported":53,"title":500,"abstract":501,"tags":503},[],[443,502],"cotton",[],{"code":95,"score":505,"supported":53,"title":506,"abstract":507,"tags":509},4,[],[508],"smart agriculture",[27],{"code":511,"score":89,"supported":53,"title":512,"abstract":513,"tags":515},"H6",[],[514],"农业生态",[],[517,518],"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":521,"authors":522,"venue":457,"cited_by_count":123,"oa_url":454,"card":529,"direction":131,"ingested_from":132},"W7222907396",[523,525,527],{"name":524,"orcid":9},"Mohammad Shafiq Faieq",{"name":526,"orcid":9},"Mustafa Abid",{"name":528,"orcid":9},"Abdul khalil Afghani",{"tldr":530,"method":531,"finding":532,"direction":129,"opportunity":533},"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"]