[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5312":3,"related-5312":130},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":44,"search_phrases":107,"slug":110,"view_count":111,"doi":9,"paper":112,"created_at":129},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。",null,"ESRJ","2026-10-16T00:00:00Z","论文",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,20,17,12,6,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"智慧农业","粮食安全","气候变化","适应性策略","水资源短缺",{"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",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":45,"locked":14,"version":46,"method":47,"evidence":48},"classified","2026-10-22.2","rules",{"candidates":49,"agricultural_evidence":51},[50,58,65,72,79,86,93,100],{"code":33,"score":17,"supported":51,"title":52,"abstract":54,"tags":57},true,[53],"climate change",[29,55,53,56],"干旱","drought",[29],{"code":40,"score":59,"supported":51,"title":60,"abstract":61,"tags":64},9,[],[62,63,41],"灌溉","水资源",[],{"code":66,"score":67,"supported":51,"title":68,"abstract":69,"tags":71},"A8",7,[],[28,70],"food security",[28],{"code":73,"score":21,"supported":51,"title":74,"abstract":75,"tags":78},"A2",[],[76,77],"小麦","wheat",[],{"code":80,"score":21,"supported":51,"title":81,"abstract":82,"tags":85},"A3",[],[83,84],"玉米","maize",[],{"code":87,"score":21,"supported":51,"title":88,"abstract":89,"tags":92},"A6",[],[90,91],"棉花","cotton",[],{"code":94,"score":95,"supported":51,"title":96,"abstract":97,"tags":99},"I1",4,[],[98],"smart agriculture",[27],{"code":101,"score":102,"supported":51,"title":103,"abstract":104,"tags":106},"H6",3,[],[105],"农业生态",[],[108,109],"阿富汗 气候变化","气候智慧型农业 灌溉","阿富汗气候变化-5312",0,{"doi":9,"openalex_id":113,"authors":114,"venue":10,"cited_by_count":111,"oa_url":6,"card":121,"direction":127,"ingested_from":128},"W7222907396",[115,117,119],{"name":116,"orcid":9},"Mohammad Shafiq Faieq",{"name":118,"orcid":9},"Mustafa Abid",{"name":120,"orcid":9},"Abdul khalil Afghani",{"tldr":122,"method":123,"finding":124,"direction":125,"opportunity":126},"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。","农业绿色发展与碳","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。","智慧农业 \u002F 农业物联网","openalex","2026-10-19T23:30:11.285828Z",{"total":21,"page":22,"page_size":21,"items":131},[132,245,345,415,478,551],{"id":133,"title":134,"url":135,"summary":136,"summary_zh":137,"content":9,"source_name":138,"source_url":135,"published_at":139,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":140,"score_detail":141,"sources":146,"tags":148,"primary_topic":153,"secondary_topics":154,"classification":161,"search_phrases":215,"slug":218,"view_count":111,"doi":219,"paper":220,"created_at":244},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":142,"substance":17,"depth":143,"authority":20,"freshness":144,"relevant":22,"comment":145},13,15,8,"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。",[147],{"name":138,"url":135},[29,149,150,151,152],"盐碱地治理","遥感监测","智慧灌溉","土壤盐渍化",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[155,160],{"code":156,"slug":157,"name":158,"path":159,"parent_code":37},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":162},{"candidates":163,"agricultural_evidence":51},[164,169,174,179,186,190,196,203,209],{"code":33,"score":17,"supported":51,"title":165,"abstract":166,"tags":168},[53],[29,167,55,53],"气候适应",[29],{"code":156,"score":143,"supported":51,"title":170,"abstract":171,"tags":173},[157],[172,157],"土壤",[149],{"code":40,"score":13,"supported":51,"title":175,"abstract":176,"tags":178},[],[62,63,41,177],"evapotranspiration",[151],{"code":180,"score":67,"supported":51,"title":181,"abstract":182,"tags":185},"I3",[],[183,184],"遥感","remote sensing",[150],{"code":66,"score":21,"supported":51,"title":187,"abstract":188,"tags":189},[],[28,70],[],{"code":94,"score":21,"supported":51,"title":191,"abstract":192,"tags":195},[],[193,194],"精准农业","precision agriculture",[],{"code":197,"score":21,"supported":51,"title":198,"abstract":199,"tags":202},"I4",[],[200,201],"地理信息","geographic information",[],{"code":204,"score":102,"supported":51,"title":205,"abstract":206,"tags":208},"F3",[],[207],"养分管理",[],{"code":210,"score":102,"supported":51,"title":211,"abstract":212,"tags":214},"J1",[],[213],"农业政策",[],[216,217],"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":219,"openalex_id":221,"authors":222,"venue":138,"cited_by_count":111,"oa_url":135,"card":238,"direction":242,"ingested_from":128},"W7222999158",[223,225,227,229,231,233,236],{"name":224,"orcid":9},"Asifa Naz",{"name":226,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":228,"orcid":9},"Syed Asghar Hussain Shah",{"name":230,"orcid":9},"Shahrish Nawaz",{"name":232,"orcid":9},"Muhmmad Irfan",{"name":234,"orcid":235},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":237,"orcid":9},"Muhammad Nouman Khalid",{"tldr":239,"method":240,"finding":241,"direction":242,"opportunity":243},"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。","农业遥感与作物表型","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":246,"title":247,"url":248,"summary":249,"summary_zh":250,"content":9,"source_name":251,"source_url":248,"published_at":252,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":253,"score_detail":254,"sources":256,"tags":258,"primary_topic":263,"secondary_topics":264,"classification":272,"search_phrases":315,"slug":318,"view_count":111,"doi":319,"paper":320,"created_at":344},4989,"Advances in micro-irrigation and supplementary irrigation in millets of dryland ecosystems","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.16312","Dryland ecosystems cover approximately 41 % of the Earth's terrestrial surface and support nearly two billion people. This review synthesises recent advances in micro-irrigation and supplementary irrigation strategies for enhancing millet productivity and resilience in dryland ecosystems. Drylands are characterised by low and erratic rainfall, high evapotranspiration, poor soil fertility and frequent drought stress, making agricultural production vulnerable to climate variability and water scarcity. Millets are drought-tolerant, climate-resilient cereals cultivated in dryland agroecosystems. Despite their resilience, millet productivity remains constrained by increasing rainfall variability, prolonged intra-seasonal dry spells and rising atmospheric aridity associated with climate change. Evidence from semi-arid and arid regions indicates that micro-irrigation systems, including drip, subsurface drip and micro-sprinkler irrigation, significantly improve yield and biomass accumulation compared to conventional surface irrigation methods. These irrigation systems also enhance water use efficiency (WUE) and nutrient use efficiency (NUE), making them highly suitable for millet production in dryland ecosystems. The integration of fertigation further improves nutrient synchronisation with crop demand, reduces leaching losses and supports soil fertility. The review also highlights optimised irrigation scheduling based on evapotranspiration, soil moisture thresholds, deficit irrigation principles and sensor-based automation. Smart irrigation technologies incorporating soil moisture sensors and Internet of Things (IoT)-based control systems show strong potential to enhance precision water management and reduce water consumption by up to 30–35 %. Their adoption, supported by technological innovation, policy frameworks and location-specific research, will promote sustainable water management and resource-use efficiency in millet-based dryland ecosystems. Future research should focus on optimising irrigation scheduling, smart technologies and cost-effective solutions for water-limited environments.","旱地生态系统约占地球陆地表面的41%，支撑着近20亿人口。本文综述了微灌与补充灌溉策略在提升旱地生态系统中小米生产力与恢复力方面的最新进展。旱地降水少且不稳定、蒸散量大、土壤肥力低、干旱胁迫频繁，使农业生产易受气候变率和缺水的影响。小米是种植于旱地农业生态系统中的耐旱、气候适应型谷物。尽管具有恢复力，小米生产力仍受降雨变率增大、季节性持续干旱期延长以及气候变化相关的大气干燥度上升的制约。来自半干旱和干旱地区的证据表明，与传统地面灌溉方式相比，微灌系统（包括滴灌、地下滴灌和微喷灌）显著提高了产量和生物量积累。这些灌溉系统还提高了水分利用效率（WUE）和养分利用效率（NUE），使其非常适合旱地生态系统中的小米生产。水肥一体化（fertigation）的整合进一步改善了养分与作物需求的同步性，减少了淋失损失，并有助于维持土壤肥力。本文还重点介绍了基于蒸散量、土壤水分阈值、亏缺灌溉原则和基于传感器的自动化的优化灌溉制度。结合土壤水分传感器和基于物联网（IoT）控制系统的智能灌溉技术，在提升精准水分管理和减少高达30%–35%的用水量方面展现出巨大潜力。在技术创新、政策框架和因地制宜研究的支持下，这些技术的采用将促进以小米为基础的旱地生态系统中的可持续水分管理和资源利用效率。未来研究应聚焦于优化灌溉制度、智能技术以及面向水资源受限环境的成本效益解决方案。","Plant Science Today","2026-10-14T00:00:00Z",76,{"impact":17,"substance":18,"depth":19,"authority":142,"freshness":144,"relevant":22,"comment":255},"系统综述微灌与补充灌溉提升旱地谷子产量与水肥效率，含物联网智能灌溉节水30-35%等实质结论，对旱作智慧农业有参考价值。",[257],{"name":251,"url":248},[27,259,260,261,262],"农业物联网","旱作农业","节水灌溉","谷子高粱",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[265,271],{"code":266,"slug":267,"name":268,"path":269,"parent_code":270},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":273},{"candidates":274,"agricultural_evidence":51},[275,280,287,291,297,301,307,311],{"code":40,"score":276,"supported":51,"title":277,"abstract":278,"tags":279},19,[41],[62,63,41,177],[260,261],{"code":266,"score":13,"supported":51,"title":281,"abstract":282,"tags":286},[],[283,284,285],"物联网","internet of things","IoT",[259],{"code":33,"score":59,"supported":51,"title":288,"abstract":289,"tags":290},[],[29,167,55,53,56],[],{"code":204,"score":21,"supported":51,"title":292,"abstract":293,"tags":296},[],[294,295],"水肥一体化","fertigation",[],{"code":156,"score":21,"supported":51,"title":298,"abstract":299,"tags":300},[],[172,157],[],{"code":302,"score":102,"supported":51,"title":303,"abstract":304,"tags":306},"A5",[],[305],"millet",[],{"code":101,"score":102,"supported":51,"title":308,"abstract":309,"tags":310},[],[105],[],{"code":94,"score":22,"supported":14,"title":312,"abstract":313,"tags":314},[],[],[27],[316,317],"微灌 补充灌溉 旱地 谷子","智慧灌溉 水分利用效率 谷子","微灌补充灌溉旱地谷子-4989","10.14719\u002Fpst.16312",{"doi":319,"openalex_id":321,"authors":322,"venue":251,"cited_by_count":111,"oa_url":338,"card":339,"direction":127,"ingested_from":128},"W7221796668",[323,326,329,332,335],{"name":324,"orcid":325},"M Megha","https:\u002F\u002Forcid.org\u002F0009-0006-7303-6946",{"name":327,"orcid":328},"N Vadivel","https:\u002F\u002Forcid.org\u002F0000-0002-5301-5324",{"name":330,"orcid":331},"P. Kannan","https:\u002F\u002Forcid.org\u002F0000-0001-7003-3535",{"name":333,"orcid":334},"P. Ayyadurai","https:\u002F\u002Forcid.org\u002F0000-0003-1889-6047",{"name":336,"orcid":337},"PD Rathinasamy","https:\u002F\u002Forcid.org\u002F0000-0001-8793-3513","https:\u002F\u002Fhorizonepublishing.com\u002Fjournals\u002Findex.php\u002FPST\u002Farticle\u002Fdownload\u002F16312\u002F16748",{"tldr":340,"method":341,"finding":342,"direction":127,"opportunity":343},"综述旱地微灌与补充灌溉提升小米产量与水分利用效率的研究进展。","综述滴灌、地下滴灌、微喷及水肥一体化、传感器与IoT智能灌溉技术。","微灌显著提高小米产量、WUE和NUE，智能灌溉可节水30–35%。","可研究低成本IoT灌溉决策模型在小米旱地的本地化适配与长期效应。","2026-10-15T23:30:08.971713Z",{"id":346,"title":347,"url":348,"summary":349,"summary_zh":350,"content":9,"source_name":351,"source_url":348,"published_at":352,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":353,"score_detail":354,"sources":358,"tags":360,"primary_topic":364,"secondary_topics":365,"classification":371,"search_phrases":395,"slug":398,"view_count":22,"doi":399,"paper":400,"created_at":414},4504,"Development of the Potential Evapotranspiration-Vegetation-Precipitation Drought Index (PETVPDI) and Its Application in West Africa Using Remote Sensing Datasets","https:\u002F\u002Fdoi.org\u002F10.3390\u002Frs18193435","Drought remains one of the most severe climate-related hazards affecting water resources, ecosystems, and agricultural productivity in West Africa (WA). Traditional drought indices often rely on individual hydroclimatic or vegetation variables and may not fully represent the coupled effects of precipitation supply, atmospheric evaporative demand, and vegetation response. To address this limitation, this study develops and applies a composite drought indicator, the Potential Evapotranspiration–Vegetation–Precipitation Drought Index (PETVPDI), using multi-source remote sensing datasets over WA for 2001–2022. PETVPDI integrates precipitation (P), potential evapotranspiration (PET), and the normalized difference vegetation index (NDVI) within a three-dimensional Euclidean-distance framework. The index was evaluated against GLDAS soil moisture (SM), ESA CCI SM, gross primary productivity (GPP), and net primary productivity (NPP), and compared with four conventional remote-sensing drought indices (cRSDI): VCI, VHI, TVDI, and TVPDI. Deseasonalized anomaly correlations, used as the primary validation evidence to reduce the influence of the shared monsoon seasonal cycle, show that PETVPDI achieved the highest numerical correlations among the evaluated indices with GLDAS SM (R = 0.556, p \u003C 0.001), ESA CCI SM (R = 0.513, p \u003C 0.001), and GPP (R = 0.483, p \u003C 0.001). Steiger’s tests for dependent overlapping correlations show that the PETVPDI–TVPDI difference was statistically significant for raw GLDAS SM and deseasonalized ESA CCI SM, but not for the other evaluated comparisons. Spatial PETVPDI patterns represent each pixel’s relative position within its own 2001–2022 hydroclimatic and vegetation range and therefore should not be interpreted as direct differences in absolute climatic aridity among locations. Long-term trends are spatially heterogeneous across WA. Overall, PETVPDI provides an integrated framework for monitoring relative drought–wetness variability and offers complementary information for drought assessment and early-warning applications in data-scarce regions.","干旱仍然是影响西非（WA）水资源、生态系统和农业生产力最严重的气候相关灾害之一。传统干旱指数通常依赖单一的水文气候或植被变量，可能无法充分反映降水供给、大气蒸发需求和植被响应之间的耦合效应。为解决这一局限，本研究利用2001—2022年西非多源遥感数据集，开发并应用了一种复合干旱指标——潜在蒸散–植被–降水干旱指数（PETVPDI）。PETVPDI在三维欧氏距离框架内整合了降水（P）、潜在蒸散（PET）和归一化差异植被指数（NDVI）。该指数以GLDAS土壤湿度（SM）、ESA CCI SM、总初级生产力（GPP）和净初级生产力（NPP）进行评估，并与四种传统遥感干旱指数（cRSDI）：VCI、VHI、TVDI和TVPDI进行比较。以去季节化异常相关性作为主要验证依据，以减少共同季风季节循环的影响，结果表明PETVPDI在所评估的指数中与GLDAS SM（R = 0.556，p \u003C 0.001）、ESA CCI SM（R = 0.513，p \u003C 0.001）和GPP（R = 0.483，p \u003C 0.001）的数值相关性最高。针对相依重叠相关性的Steiger检验表明，PETVPDI–TVPDI差异在原始GLDAS SM和去季节化ESA CCI SM上具有统计学显著性，但在其他评估比较中不显著。PETVPDI的空间格局表示每个像元在其自身2001—2022年水文气候和植被范围内的相对位置，因此不应被解释为地点之间绝对气候干燥度的直接差异。长期趋势在西非呈现空间异质性。总体而言，PETVPDI为监测相对干旱–湿润变率提供了一个集成框架，并为数据稀缺地区的干旱评估和预警应用提供了补充信息。","Remote Sensing","2026-10-08T00:00:00Z",75,{"impact":20,"substance":355,"depth":17,"authority":356,"freshness":59,"relevant":22,"comment":357},22,14,"提出融合降水、蒸散与植被的复合干旱指数，方法新颖、验证扎实，对数据稀缺区农业干旱预警有参考价值，但区域局限于西非，国内应用关联度有限。",[359],{"name":351,"url":348},[28,361,150,362,363],"农业气象","西非农业","干旱指数",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[366,370],{"code":180,"slug":367,"name":368,"path":369,"parent_code":270},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":372},{"candidates":373,"agricultural_evidence":51},[374,379,383,387,391],{"code":33,"score":375,"supported":51,"title":376,"abstract":377,"tags":378},16,[56],[55,56],[361,363],{"code":180,"score":143,"supported":51,"title":380,"abstract":381,"tags":382},[184],[183,184],[150],{"code":40,"score":356,"supported":51,"title":384,"abstract":385,"tags":386},[177],[63,177],[],{"code":156,"score":21,"supported":51,"title":388,"abstract":389,"tags":390},[],[172,157],[],{"code":66,"score":22,"supported":14,"title":392,"abstract":393,"tags":394},[],[],[28],[396,397],"PETVPDI 干旱指数 西非","遥感 干旱监测 NDVI","PETVPDI干旱指数西非-4504","10.3390\u002Frs18193435",{"doi":399,"openalex_id":401,"authors":402,"venue":351,"cited_by_count":111,"oa_url":348,"card":409,"direction":242,"ingested_from":128},"W7220963372",[403,406],{"name":404,"orcid":405},"Abdoul-Aziz Bio Sidi D. Bouko","https:\u002F\u002Forcid.org\u002F0009-0003-1179-8046",{"name":407,"orcid":408},"Bing Gao","https:\u002F\u002Forcid.org\u002F0000-0003-0782-8858",{"tldr":410,"method":411,"finding":412,"direction":242,"opportunity":413},"构建融合蒸散、植被与降水的复合干旱指数PETVPDI，并用于西非2001—2022年干旱监测。","多源遥感数据，三维欧氏距离整合P、PET、NDVI，与土壤湿度、GPP\u002FNPP及","PETVPDI与土壤湿度和GPP的相关性最高，能更好反映干旱-湿润相对变化，但趋势空间异质。","可将该复合指数迁移至其他数据稀缺区，并结合作物产量或灌溉需水做农业干旱预警与适应性研究。","2026-10-09T23:30:25.838340Z",{"id":416,"title":417,"url":418,"summary":419,"summary_zh":9,"content":9,"source_name":420,"source_url":9,"published_at":421,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":422,"score_detail":423,"sources":426,"tags":428,"primary_topic":432,"secondary_topics":437,"classification":440,"search_phrases":465,"slug":468,"view_count":102,"doi":9,"paper":469,"created_at":477},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":355,"substance":424,"depth":17,"authority":356,"freshness":21,"relevant":22,"comment":425},23,"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。",[427],{"name":420,"url":418},[27,429,167,430,431],"水稻","精准灌溉","三江平原",{"code":433,"slug":434,"name":429,"path":435,"parent_code":436},"A1","rice","\u002Ftopic\u002Ffield-crops\u002Frice","A",[438,439],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":441},{"candidates":442,"agricultural_evidence":51},[443,447,451,455,461],{"code":433,"score":18,"supported":51,"title":444,"abstract":445,"tags":446},[429,434],[429],[429],{"code":40,"score":18,"supported":51,"title":448,"abstract":449,"tags":450},[62,41],[62],[430],{"code":33,"score":20,"supported":51,"title":452,"abstract":453,"tags":454},[29],[29],[167],{"code":456,"score":102,"supported":51,"title":457,"abstract":458,"tags":460},"H8",[],[459],"sustainable agriculture",[],{"code":94,"score":22,"supported":14,"title":462,"abstract":463,"tags":464},[],[],[27],[466,467],"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":470,"venue":9,"cited_by_count":111,"oa_url":9,"card":471,"direction":127,"ingested_from":476},[],{"tldr":472,"method":473,"finding":474,"direction":127,"opportunity":475},"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":479,"title":480,"url":481,"summary":482,"summary_zh":483,"content":9,"source_name":484,"source_url":481,"published_at":485,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":486,"score_detail":487,"sources":489,"tags":491,"primary_topic":494,"secondary_topics":500,"classification":503,"search_phrases":528,"slug":531,"view_count":95,"doi":532,"paper":533,"created_at":550},3607,"Analysis of drought carry-over effect on apple trees using the Leafiness-LiDAR index","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biosystemseng.2026.104603","Apple trees ( Malus × domestica Borkh.) are widely grown in Mediterranean regions, where drought-induced irrigation restrictions can impair canopy development and productivity. This study assessed the Leafiness-LiDAR Index (LLI), derived from terrestrial Light Detection and Ranging (LiDAR) point clouds, as a proxy for Leaf Area Index (LAI) and as a non-destructive indicator of canopy response and recovery following water deficit. An ‘Opal®’ apple orchard was monitored over three growing seasons (2023–2025), encompassing one drought year and two recovery years. In 2023, full irrigation (FI; 480 mm) was compared with deficit irrigation (DI; 300 mm; 37.5% less water) under two planting densities (0.5 and 1.0 m tree spacing). Mixed-effects models revealed significant Year × Irrigation interactions for LAI (p = 0.006) and LLI (p \u003C 0.001), but not for yield (p = 0.654), suggesting a partial decoupling between structural and productive recovery. During the drought year, DI reduced LLI by 37% and yield by 47%. Following irrigation restoration, LLI differences persisted, particularly in 2024, indicating lasting structural effects of water deficit. Higher planting density promoted canopy recovery and increased yield. LLI proved to be a valuable, non-destructive estimator of LAI for detecting drought legacy effects and tracking canopy recovery, supporting precision orchard management under Mediterranean water scarcity.","苹果树（Malus × domestica Borkh.）广泛种植于地中海地区，该地区因干旱导致的灌溉限制会损害树冠发育和生产力。本研究评估了基于地面激光雷达（LiDAR）点云衍生的叶量-激光雷达指数（Leafiness-LiDAR Index, LLI）作为叶面积指数（Leaf Area Index, LAI）的替代指标，以及作为水分亏缺后树冠响应与恢复的非破坏性指标的可行性。对一个‘Opal®’苹果园进行了三个生长季（2023—2025年）的监测，涵盖一个干旱年和两个恢复年。2023年，在两种种植密度（株距0.5 m和1.0 m）下，比较了充分灌溉（FI；480 mm）与亏缺灌溉（DI；300 mm；减少37.5%水量）。混合效应模型显示，LAI（p = 0.006）和LLI（p \u003C 0.001）存在显著的年×灌溉交互作用，而产量（p = 0.654）则无此交互作用，表明结构与产量恢复之间存在部分脱耦。在干旱年，DI使LLI降低37%，产量降低47%。灌溉恢复后，LLI差异持续存在，尤其在2024年，表明水分亏缺具有持久的结构性影响。较高的种植密度促进了树冠恢复并提高了产量。LLI被证明是一种有价值的、非破坏性的LAI估算指标，可用于检测干旱遗留效应并追踪树冠恢复，为地中海水资源短缺条件下的精准果园管理提供支持。","Biosystems Engineering","2026-09-26T00:00:00Z",77,{"impact":143,"substance":355,"depth":17,"authority":356,"freshness":144,"relevant":22,"comment":488},"地中海苹果园三年试验证实LiDAR叶量指数可无损监测干旱遗留效应与冠层恢复，方法新颖、数据扎实，对果园精准灌溉有参考价值。",[490],{"name":484,"url":481},[27,492,183,493,430],"苹果","果园管理",{"code":495,"slug":496,"name":497,"path":498,"parent_code":499},"B2","fruit","果树","\u002Ftopic\u002Fhorticulture\u002Ffruit","B",[501,502],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":504},{"candidates":505,"agricultural_evidence":51},[506,512,516,520,524],{"code":495,"score":17,"supported":51,"title":507,"abstract":509,"tags":511},[508],"apple",[497,492,510,508],"orchard",[492],{"code":33,"score":356,"supported":51,"title":513,"abstract":514,"tags":515},[56],[55,56],[],{"code":40,"score":13,"supported":51,"title":517,"abstract":518,"tags":519},[],[62,63,41],[430],{"code":94,"score":22,"supported":14,"title":521,"abstract":522,"tags":523},[],[],[27],{"code":180,"score":22,"supported":14,"title":525,"abstract":526,"tags":527},[],[],[183],[529,530],"LiDAR 苹果园 干旱","Leafiness-LiDAR Index 苹果","LiDAR苹果园干旱-3607","10.1016\u002Fj.biosystemseng.2026.104603",{"doi":532,"openalex_id":534,"authors":535,"venue":484,"cited_by_count":111,"oa_url":481,"card":545,"direction":242,"ingested_from":128},"W7214458453",[536,539,542],{"name":537,"orcid":538},"Leire Sandonís-Pozo","https:\u002F\u002Forcid.org\u002F0000-0003-2472-0259",{"name":540,"orcid":541},"José Antonio Martínez-Casasnovas","https:\u002F\u002Forcid.org\u002F0000-0003-1480-3632",{"name":543,"orcid":544},"Miquel Pascual","https:\u002F\u002Forcid.org\u002F0000-0002-3329-4207",{"tldr":546,"method":547,"finding":548,"direction":242,"opportunity":549},"用LiDAR叶量指数追踪苹果园干旱遗留效应与冠层恢复。","三年果园试验，地面LiDAR点云提取LLI，混合效应模型分析。","亏缺灌溉使LLI降37%、产量降47%，复水后结构差异仍持续。","可探索LLI与多源遥感融合，构建果园干旱遗留效应早期预警与精准补灌决策模型。","2026-09-27T23:30:09.907348Z",{"id":552,"title":553,"url":554,"summary":555,"summary_zh":556,"content":9,"source_name":557,"source_url":554,"published_at":558,"category":12,"cover_url":9,"hotness":559,"is_selected":14,"score":560,"score_detail":561,"sources":563,"tags":567,"primary_topic":569,"secondary_topics":570,"classification":572,"search_phrases":615,"slug":618,"view_count":22,"doi":619,"paper":620,"created_at":630},2422,"IMPACT OF CLIMATE CHANGE ON AGRICULTURE IN KHORESM REGION","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22734293","This article analyzes the impact of climate change on agriculture in the Khorezm region and its main trends. The study takes into account the natural and climatic conditions of the region, the high dependence of agriculture on irrigation, and the characteristics of water resource use. As a result of climate change, the increase in air temperature, increased evaporation, increased risk of drought, and increased demand for water resources are assessed as the main factors affecting agricultural production. It also covers changes in temperature and humidity conditions, soil salinity, water scarcity, and their impact on the development of cotton, grain, vegetable and melon crops, and livestock. The article develops scientific and practical recommendations on priority areas for adapting agriculture in the Khorezm region to climate change, including the introduction of water-saving irrigation technologies, the use of climate-resistant crop varieties, the prevention of soil salinization, the improvement of irrigation and land reclamation systems, and the use of GIS and remote sensing technologies. The results of the study are of great importance in ensuring the sustainability of agriculture in the region and determining measures to adapt to future climate risks.","本文分析了气候变化对花剌子模地区农业的影响及其主要趋势。研究考虑了该地区的自然气候条件、农业对灌溉的高度依赖以及水资源利用特点。气候变化导致的气温升高、蒸发加剧、干旱风险增加以及对水资源需求的上升，被评估为影响农业生产的主要因素。文章还涵盖了温湿条件变化、土壤盐渍化、水资源短缺及其对棉花、粮食、蔬菜瓜类作物和畜牧业发展的影响。本文就花剌子模地区农业适应气候变化的优先方向提出了科学实用的建议，包括推广节水灌溉技术、采用抗气候胁迫的作物品种、防止土壤盐渍化、改善灌溉与土地改良系统，以及利用地理信息系统（GIS）和遥感技术。研究结果对于保障该地区农业可持续性、确定应对未来气候风险的适应措施具有重要意义。","Zenodo (CERN European Organization for Nuclear Research)","2026-09-13T00:00:00Z",25,72,{"impact":143,"substance":18,"depth":375,"authority":20,"freshness":59,"relevant":22,"comment":562},"基于咸海周边灌溉农业区的实证研究，提出节水灌溉、抗逆品种与GIS遥感等适应对策，对干旱区农业气候适应有参考价值，但属区域性研究，影响层级有限。",[564,565],{"name":557,"url":554},{"name":557,"url":566},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22734292",[29,261,150,568,152],"农业适应",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[571],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":573},{"candidates":574,"agricultural_evidence":51},[575,579,584,588,592,599,606,610],{"code":33,"score":17,"supported":51,"title":576,"abstract":577,"tags":578},[53],[29,55,53,56],[29],{"code":40,"score":13,"supported":51,"title":580,"abstract":581,"tags":583},[],[62,63,41,582],"water resource",[261],{"code":180,"score":67,"supported":51,"title":585,"abstract":586,"tags":587},[],[183,184],[150],{"code":87,"score":21,"supported":51,"title":589,"abstract":590,"tags":591},[],[90,91],[],{"code":593,"score":21,"supported":51,"title":594,"abstract":595,"tags":598},"B1",[],[596,597],"蔬菜","vegetable",[],{"code":600,"score":21,"supported":51,"title":601,"abstract":602,"tags":605},"C",[],[603,604],"畜牧","livestock",[],{"code":156,"score":21,"supported":51,"title":607,"abstract":608,"tags":609},[],[172,157],[],{"code":197,"score":21,"supported":51,"title":611,"abstract":612,"tags":614},[],[200,613],"GIS",[],[616,617],"土壤盐渍化 农业适应 气候变化 节水灌溉","土壤盐渍化 农业适应","土壤盐渍化农业适应气候变化节水灌溉-2422","10.5281\u002Fzenodo.22734293",{"doi":619,"openalex_id":621,"authors":622,"venue":557,"cited_by_count":111,"oa_url":554,"card":625,"direction":242,"ingested_from":128},"W7212422330",[623],{"name":624,"orcid":9},"Khalmuratov Rajabboy",{"tldr":626,"method":627,"finding":628,"direction":242,"opportunity":629},"分析气候变化对花剌子模地区农业的影响并提出适应对策。","结合区域气候与灌溉数据，评估温度、蒸发、盐渍化及作物影响。","升温、蒸发与干旱加剧威胁灌溉农业，需节水灌溉、抗逆品种及GIS遥感。","可结合遥感与GIS量化盐渍化与干旱胁迫，构建区域气候适应决策模型。","2026-09-14T23:30:24.437863Z"]