[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3542":3,"related-3542":146},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":44,"search_phrases":119,"slug":122,"view_count":97,"doi":123,"paper":124,"created_at":145},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。",null,"PLOS Climate","2026-09-25T00:00:00Z","论文",10,true,82,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,23,14,9,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"粮食安全","防灾减灾","气候变化","遥感监测","干旱风险",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[38],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",{"status":45,"locked":46,"version":47,"method":48,"evidence":49},"classified",false,"2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":14},[51,59,66,73,81,88,95,102,108,114],{"code":32,"score":52,"supported":14,"title":53,"abstract":55,"tags":58},19,[54],"drought",[28,56,57,54],"干旱","climate change",[28,27],{"code":39,"score":20,"supported":14,"title":60,"abstract":61,"tags":65},[],[62,63,64],"高粱","sorghum","millet",[],{"code":67,"score":68,"supported":14,"title":69,"abstract":70,"tags":72},"A8",7,[],[26,71],"food security",[26],{"code":74,"score":75,"supported":14,"title":76,"abstract":77,"tags":80},"A3",6,[],[78,79],"玉米","maize",[],{"code":82,"score":75,"supported":14,"title":83,"abstract":84,"tags":87},"H2",[],[85,86],"土壤","soil",[],{"code":89,"score":75,"supported":14,"title":90,"abstract":91,"tags":94},"H3",[],[92,93],"灌溉","irrigation",[],{"code":96,"score":97,"supported":14,"title":98,"abstract":99,"tags":101},"A4",3,[],[100],"花生",[],{"code":103,"score":97,"supported":14,"title":104,"abstract":105,"tags":107},"I1",[],[106],"smart agriculture",[],{"code":109,"score":97,"supported":14,"title":110,"abstract":111,"tags":113},"I4",[],[112],"GIS",[],{"code":115,"score":21,"supported":46,"title":116,"abstract":117,"tags":118},"I3",[],[],[29],[120,121],"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":123,"openalex_id":125,"authors":126,"venue":10,"cited_by_count":136,"oa_url":6,"card":137,"direction":143,"ingested_from":144},"W7214399028",[127,130,133],{"name":128,"orcid":129},"Theophilus Francis Kofitio","https:\u002F\u002Forcid.org\u002F0009-0000-7147-6581",{"name":131,"orcid":132},"Peace Korshiwor Amoatey","https:\u002F\u002Forcid.org\u002F0000-0002-2794-9721",{"name":134,"orcid":135},"Evans Asenso","https:\u002F\u002Forcid.org\u002F0000-0003-3116-6356",0,{"tldr":138,"method":139,"finding":140,"direction":141,"opportunity":142},"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。","智慧农业 \u002F 农业物联网","openalex","2026-09-26T23:30:10.153994Z",{"total":75,"page":21,"page_size":75,"items":147},[148,231,298,403,503,582],{"id":149,"title":150,"url":151,"summary":152,"summary_zh":153,"content":9,"source_name":154,"source_url":151,"published_at":155,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":15,"score_detail":156,"sources":162,"tags":164,"primary_topic":169,"secondary_topics":170,"classification":172,"search_phrases":214,"slug":217,"view_count":136,"doi":218,"paper":219,"created_at":230},5158,"POTATO LATE BLIGHT CAUSED BY PHYTOPHTHORA INFESTANS: BIOLOGY,EPIDEMIOLOGY, CLIMATE CHANGE, AND SUSTAINABLE MANAGEMENT STRATEGIES","https:\u002F\u002Fdoi.org\u002F10.56093\u002Fpotatoj.v53i1.181670","Potato late blight, caused by Phytophthora infestans, remains one of the mostdestructive diseases affecting global potato production, resulting in substantial yield and economiclosses. This review summarizes the pathogen’s biology, disease cycle, epidemiology, host–pathogeninteractions, and current diagnostic approaches, along with major management strategies, includingcultural practices, host resistance, biological control, botanical extracts, chemical control, diseaseforecasting, and integrated disease management. It also highlights the impacts of climate changeon disease distribution and severity, as well as recent advances in molecular breeding, genomeediting, and precision agriculture. Overall, sustainable management of potato late blight requiresintegrating resistant cultivars, environmentally friendly control measures, disease forecasting, andjudicious fungicide use. Continued research on durable resistance, climate-smart management, andemerging biotechnological tools will be essential to enhance potato resilience and ensure futurefood security.","由致病疫霉（Phytophthora infestans）引起的马铃薯晚疫病仍是影响全球马铃薯生产的最具破坏性的病害之一，造成严重的产量和经济损失。本文综述了该病原菌的生物学特性、病害循环、流行病学、寄主—病原互作及当前诊断方法，并总结了主要防控策略，包括栽培措施、寄主抗性、生物防治、植物提取物、化学防治、病害预测及病害综合管理。文章还重点讨论了气候变化对病害分布和严重度的影响，以及分子育种、基因组编辑和精准农业方面的最新进展。总体而言，马铃薯晚疫病的可持续治理需要整合抗病品种、环境友好型防控措施、病害预测和合理使用杀菌剂。持续开展持久抗性、气候智慧型管理及新兴生物技术工具的研究，对于增强马铃薯抗逆性和保障未来粮食安全至关重要。","Potato Journal","2026-10-15T00:00:00Z",{"impact":157,"substance":158,"depth":17,"authority":159,"freshness":160,"relevant":21,"comment":161},22,21,13,8,"核心期刊综述，系统梳理晚疫病生物学、气候变化影响与可持续防控，对马铃薯病害防控与智慧植保具参考价值，但属综述类论文，非突破性成果。",[163],{"name":154,"url":151},[165,166,167,28,168],"马铃薯","绿色防控","分子育种","晚疫病",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[171],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":45,"locked":46,"version":47,"method":48,"evidence":173},{"candidates":174,"agricultural_evidence":14},[175,181,186,192,198,205,209],{"code":39,"score":176,"supported":14,"title":177,"abstract":179,"tags":180},15,[178],"potato",[165,178],[165],{"code":32,"score":182,"supported":14,"title":183,"abstract":184,"tags":185},12,[57],[28],[28],{"code":187,"score":68,"supported":14,"title":188,"abstract":189,"tags":191},"F2",[],[167,190],"molecular breeding",[167],{"code":103,"score":75,"supported":14,"title":193,"abstract":194,"tags":197},[],[195,196],"精准农业","precision agriculture",[],{"code":199,"score":200,"supported":14,"title":201,"abstract":202,"tags":204},"F4",4,[],[203],"生物防治",[166],{"code":67,"score":97,"supported":14,"title":206,"abstract":207,"tags":208},[],[26],[],{"code":210,"score":21,"supported":46,"title":211,"abstract":212,"tags":213},"H8",[],[],[166],[215,216],"马铃薯 晚疫病 致病疫霉","Potato Journal 晚疫病","马铃薯晚疫病致病疫霉-5158","10.56093\u002Fpotatoj.v53i1.181670",{"doi":218,"openalex_id":220,"authors":221,"venue":154,"cited_by_count":136,"oa_url":151,"card":224,"direction":143,"ingested_from":144},"W7222725701",[222],{"name":223,"orcid":9},"Sujata Bashyal",{"tldr":225,"method":226,"finding":227,"direction":228,"opportunity":229},"综述马铃薯晚疫病的生物学、流行学、气候变化影响及可持续防控策略。","文献综述，整合病原生物学、诊断、抗性育种、生物防治与精准农业技术。","可持续防控需整合抗病品种、绿色措施、病害预测与合理用药。","农业人工智能与决策模型","可结合气象与遥感数据构建气候智慧型晚疫病预测模型，支撑精准施药决策。","2026-10-17T23:30:12.547775Z",{"id":232,"title":233,"url":234,"summary":235,"summary_zh":236,"content":9,"source_name":237,"source_url":234,"published_at":238,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":239,"score_detail":240,"sources":243,"tags":245,"primary_topic":248,"secondary_topics":249,"classification":255,"search_phrases":279,"slug":282,"view_count":136,"doi":283,"paper":284,"created_at":297},4747,"Spatiotemporal mapping of agricultural drought using geospatial approach in the East Bale Zone, Ethiopia","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fagg2.70475","Abstract Agricultural drought significantly threatens food security, livelihoods, and ecosystem stability, especially in regions prone to drought, such as the East Bale zone. This study investigates the spatial and temporal patterns of agricultural drought over 30 years (1993–2024) by combining meteorological station data with satellite‐derived vegetation and thermal indices. To assess meteorological drought, the standardized precipitation index (SPI) was calculated at 3‐, 6‐, and 12‐month intervals. For agricultural and thermal stress analysis, remote sensing‐based indices including the vegetation condition index (VCI), temperature condition index, and vegetation health index (VHI) were utilized. The results indicate that the years 2003, 2008, and 2018 experienced the most severe droughts, as shown consistently across all indices. Spatial analysis revealed that the central, southern, and eastern lowland areas faced the highest frequency and severity of drought, while the northwestern highlands remained comparatively resilient. Cross‐index correlation revealed strong agreement between SPI and VCI ( R 2 = 0.77), and between VHI and VCI ( R 2 = 0.83), supporting the effectiveness of integrated drought monitoring approaches. This research advances the field of drought assessment by enhancing spatial and temporal resolution and validating cross‐index relationships at the subregional level. The results provide critical insights for localized drought early warning systems, climate adaptation strategies, and future research to improve agricultural resilience under changing climatic conditions. Hence, agricultural drought risk mapping serves as a valuable tool for guiding decision‐making in drought monitoring and for mitigating its impacts on agricultural productivity.","摘要 农业干旱严重威胁粮食安全、生计和生态系统稳定性，尤其是在东巴莱区等易旱地区。本研究结合气象站数据与卫星反演的植被和热力指数，探讨了30年（1993—2024年）间农业干旱的时空格局。为评估气象干旱，计算了3个月、6个月和12个月尺度的标准化降水指数（SPI）。在农业与热胁迫分析方面，采用了基于遥感的植被状态指数（VCI）、温度状态指数和植被健康指数（VHI）。结果表明，2003年、2008年和2018年经历了最严重的干旱，各指数均一致反映了这一情况。空间分析显示，中部、南部和东部低地地区干旱发生频率最高、程度最严重，而西北部高地则相对具有较强恢复力。跨指数相关性分析表明，SPI与VCI之间（R²=0.77）以及VHI与VCI之间（R²=0.83）具有高度一致性，支持了综合干旱监测方法的有效性。本研究通过提高时空分辨率并在次区域尺度上验证跨指数关系，推进了干旱评估领域的发展。研究结果为地方性干旱预警系统、气候适应策略以及未来研究提供了重要见解，有助于在气候变化条件下提升农业韧性。因此，农业干旱风险制图为干旱监测决策及其对农业生产影响的减缓提供了有价值的工具。","Agrosystems Geosciences & Environment","2026-10-11T00:00:00Z",68,{"impact":160,"substance":158,"depth":241,"authority":159,"freshness":20,"relevant":21,"comment":242},17,"基于30年气象与遥感指数交叉验证的农业干旱时空制图研究，方法扎实、结论可靠，但属区域性案例，对国内三农信息化仅有方法借鉴价值。",[244],{"name":237,"url":234},[26,27,29,246,247],"植被指数","农业干旱",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[250],{"code":115,"slug":251,"name":252,"path":253,"parent_code":254},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"status":45,"locked":46,"version":47,"method":48,"evidence":256},{"candidates":257,"agricultural_evidence":14},[258,263,269,273],{"code":32,"score":17,"supported":14,"title":259,"abstract":260,"tags":262},[54],[28,261,56,54],"气候适应",[27],{"code":115,"score":160,"supported":14,"title":264,"abstract":265,"tags":268},[],[266,267],"遥感","remote sensing",[246,29],{"code":67,"score":68,"supported":14,"title":270,"abstract":271,"tags":272},[],[26,71],[26],{"code":109,"score":75,"supported":14,"title":274,"abstract":275,"tags":278},[],[276,277],"空间分析","spatial analysis",[],[280,281],"埃塞俄比亚 East Bale 农业干旱","SPI VCI 干旱监测","埃塞俄比亚EastBale农业干旱-4747","10.1002\u002Fagg2.70475",{"doi":283,"openalex_id":285,"authors":286,"venue":237,"cited_by_count":136,"oa_url":234,"card":292,"direction":141,"ingested_from":144},"W7221455809",[287,289],{"name":288,"orcid":9},"Murad Hedo Haji",{"name":290,"orcid":291},"Karuturi Venkata Suryabhagavan","https:\u002F\u002Forcid.org\u002F0000-0003-2528-9106",{"tldr":293,"method":294,"finding":295,"direction":141,"opportunity":296},"结合气象站与卫星植被热指数，绘制埃塞俄比亚East Bale区30年农业干旱时空图。","用SPI（3\u002F6\u002F12月）与遥感VCI、TCI、VHI指数做交叉相关分析。","2003、2008、2018年干旱最重，中南部和东部低地最脆弱，SPI与VCI相关性R²=0.77。","可在小区域尺度融合多源指数构建干旱预警模型，并验证指数在不同作物区的适用性。","2026-10-12T23:30:24.342375Z",{"id":299,"title":300,"url":301,"summary":302,"summary_zh":303,"content":9,"source_name":304,"source_url":301,"published_at":305,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":306,"score_detail":307,"sources":309,"tags":311,"primary_topic":316,"secondary_topics":320,"classification":323,"search_phrases":371,"slug":374,"view_count":21,"doi":375,"paper":376,"created_at":402},3763,"Improving drought tolerance and water use efficiency in dryland wheat and sorghum in the Texas High Plains","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1952813","Texas High Plains (THP) is one of the most productive agricultural regions in the USA, and the economic value of annual total crop production is nearly $2 billion. The area also serves as a major livestock center for fed cattle and, increasingly, other feeding industries such as dairy. The THP has a semi-arid climate with annual precipitation averaging about 480 mm and the seasonal precipitation only can meet part of the evapotranspiration (ET) requirement for high crop yields. For field crop production, drought is the most common factor limiting yield and water use efficiency (WUE). In this review, we focus on research progress and future challenges of dryland cropping systems in the area. Due to the low growing season precipitation and uneven monthly distributions, dryland crops are largely produced under crop-fallow conditions and wheat-fallow and wheat-sorghum fallow are common. Over the decades, both wheat and grain sorghum yields have increased from the level of 1,000–2,000 kg ha −1 in 1950s to >4,000 kg ha −1 in current time. Although improved management practices (e.g., conservation tillage and residue management) have contributed to increased yield and WUE, genetic improvement of drought tolerance also played an important role, particularly the winter wheat. Multiple-year field studies indicated that selecting cultivars with higher biomass and greater early vigor are beneficial to wheat production under drought. We further found that newer drought tolerant (DT) cultivars used soil water more efficiently than a relative older cultivar. Also, new DT cultivars can extract more water from deeper soil profile and have cooler canopy temperature under drought. In recent years, we are also evaluating remote-sensing tools at both ground and aerial levels (airplane and drone) to characterize wheat genotypes for drought tolerance. We demonstrated that infrared thermometer, thermal imaging, and spectral reflectance data can be used to characterize genotypic variation during growing season.","德克萨斯高平原（THP）是美国最具生产力的农业区之一，年度作物总产量的经济价值接近20亿美元。该地区还是主要的肉牛育肥中心，并且日益成为乳业等其他饲养产业的聚集地。THP属于半干旱气候，年均降水量约480毫米，季节性降水仅能满足高产作物蒸散（ET）需求的一部分。对于大田作物生产而言，干旱是限制作物产量和水分利用效率（WUE）的最常见因素。本文综述了该地区旱作种植制度的研究进展与未来挑战。由于生长季降水少且月分布不均，旱地作物主要在作物-休闲制度下生产，小麦-休闲和小麦-高粱休闲是常见模式。数十年来，小麦和高粱产量均从20世纪50年代的1,000–2,000 kg ha⁻¹提高至当前的4,000 kg ha⁻¹以上。尽管改进的管理措施（如保护性耕作和残茬管理）促进了产量和WUE的提升，但耐旱性的遗传改良也发挥了重要作用，尤其是冬小麦。多年田间研究表明，选择生物量较高和早期长势较强的品种有利于干旱条件下的小麦生产。我们进一步发现，较新的耐旱（DT）品种比相对较老的品种更有效地利用土壤水分。此外，新的DT品种能够从更深土层中提取更多水分，并在干旱条件下具有更低的冠层温度。近年来，我们还在评估地面和航空（飞机和无人机）尺度的遥感工具，以表征小麦基因型的耐旱性。我们证明，红外温度计、热成像和光谱反射数据可用于表征生长季内的基因型变异。","Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z",80,{"impact":17,"substance":157,"depth":17,"authority":19,"freshness":160,"relevant":21,"comment":308},"综述系统梳理了德州高原旱地小麦高粱抗旱与水分利用效率的研究进展，含多年田间数据与遥感表型新方法，对旱作农业与智慧育种有参考价值。",[310],{"name":304,"url":301},[312,313,62,314,315],"小麦","旱作农业","节水灌溉","遥感育种",{"code":317,"slug":318,"name":312,"path":319,"parent_code":43},"A2","wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat",[321,322],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":45,"locked":46,"version":47,"method":48,"evidence":324},{"candidates":325,"agricultural_evidence":14},[326,331,335,339,346,350,356,362,367],{"code":317,"score":17,"supported":14,"title":327,"abstract":328,"tags":330},[318],[312,329,318],"winter wheat",[312],{"code":39,"score":176,"supported":14,"title":332,"abstract":333,"tags":334},[63],[62,63],[62],{"code":32,"score":19,"supported":14,"title":336,"abstract":337,"tags":338},[54],[56,54],[],{"code":340,"score":75,"supported":14,"title":341,"abstract":342,"tags":345},"C2",[],[343,344],"肉牛","cattle",[],{"code":82,"score":75,"supported":14,"title":347,"abstract":348,"tags":349},[],[85,86],[],{"code":89,"score":351,"supported":14,"title":352,"abstract":353,"tags":355},5,[],[354],"evapotranspiration",[313,314],{"code":357,"score":97,"supported":14,"title":358,"abstract":359,"tags":361},"C",[],[360],"livestock",[],{"code":210,"score":97,"supported":14,"title":363,"abstract":364,"tags":366},[],[365],"保护性耕作",[],{"code":115,"score":97,"supported":14,"title":368,"abstract":369,"tags":370},[],[266],[],[372,373],"Texas High Plains 小麦 高粱 抗旱","旱地小麦 水分利用效率 遥感","TexasHighPlains小麦高粱抗旱-3763","10.3389\u002Ffsufs.2026.1952813",{"doi":375,"openalex_id":377,"authors":378,"venue":304,"cited_by_count":136,"oa_url":396,"card":397,"direction":141,"ingested_from":144},"W7214633314",[379,381,384,387,390,392,394],{"name":380,"orcid":9},"薛青武",{"name":382,"orcid":383},"Sushil Thapa","https:\u002F\u002Forcid.org\u002F0000-0002-5589-8124",{"name":385,"orcid":386},"Shuyu Liu","https:\u002F\u002Forcid.org\u002F0000-0003-4748-2900",{"name":388,"orcid":389},"Jackie Rudd","https:\u002F\u002Forcid.org\u002F0000-0001-9186-3386",{"name":391,"orcid":9},"Jourdan Bell",{"name":393,"orcid":9},"Thomas Marek",{"name":395,"orcid":9},"Amir Ibrahim","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1952813\u002Fpdf",{"tldr":398,"method":399,"finding":400,"direction":141,"opportunity":401},"综述美国德州高平原旱地小麦和高粱提高耐旱性与水分利用效率的研究进展与挑战。","多年田间试验、保护性耕作、耐旱品种选育及地面与航空遥感表型工具。","耐旱新品种能更高效利用土壤水、深层取水且冠层温度更低，遥感可表征基因型变异。","可结合无人机热成像与光谱反射构建旱地作物耐旱表型高通量筛选模型，加速品种选育。","2026-09-29T23:30:07.283028Z",{"id":404,"title":405,"url":406,"summary":407,"summary_zh":408,"content":9,"source_name":409,"source_url":406,"published_at":410,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":306,"score_detail":411,"sources":414,"tags":416,"primary_topic":419,"secondary_topics":423,"classification":431,"search_phrases":470,"slug":473,"view_count":160,"doi":474,"paper":475,"created_at":502},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",{"impact":17,"substance":412,"depth":17,"authority":19,"freshness":13,"relevant":21,"comment":413},20,"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。",[415],{"name":409,"url":406},[417,26,418,28,29],"智慧农业","植物病害",{"code":67,"slug":420,"name":421,"path":422,"parent_code":43},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security",[424,425],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":426,"slug":427,"name":428,"path":429,"parent_code":430},"E4","food-safety","质量安全与溯源","\u002Ftopic\u002Ffood-supply\u002Ffood-safety","E",{"status":45,"locked":46,"version":47,"method":48,"evidence":432},{"candidates":433,"agricultural_evidence":14},[434,438,442,447,451,455,460,464],{"code":32,"score":17,"supported":14,"title":435,"abstract":436,"tags":437},[57],[28,56,57,54],[28],{"code":67,"score":176,"supported":14,"title":439,"abstract":440,"tags":441},[71],[26,71],[26],{"code":426,"score":160,"supported":14,"title":443,"abstract":445,"tags":446},[444],"food safety",[],[],{"code":103,"score":68,"supported":14,"title":448,"abstract":449,"tags":450},[],[195,196],[417],{"code":115,"score":68,"supported":14,"title":452,"abstract":453,"tags":454},[],[266,267],[29],{"code":199,"score":75,"supported":14,"title":456,"abstract":457,"tags":459},[],[203,458],"crop protection",[],{"code":82,"score":97,"supported":14,"title":461,"abstract":462,"tags":463},[],[86],[],{"code":465,"score":97,"supported":14,"title":466,"abstract":467,"tags":469},"I2",[],[468],"artificial intelligence",[],[471,472],"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":474,"openalex_id":476,"authors":477,"venue":409,"cited_by_count":136,"oa_url":406,"card":497,"direction":141,"ingested_from":144},"W7213972258",[478,480,482,485,488,491,494],{"name":479,"orcid":9},"Sindiswa Khawula",{"name":481,"orcid":9},"Siyabonga Ntshalitshali",{"name":483,"orcid":484},"Arun Gokul","https:\u002F\u002Forcid.org\u002F0000-0003-1575-0632",{"name":486,"orcid":487},"Lee‐Ann Niekerk","https:\u002F\u002Forcid.org\u002F0000-0002-9788-3131",{"name":489,"orcid":490},"Ashwil Klein","https:\u002F\u002Forcid.org\u002F0000-0002-5606-886X",{"name":492,"orcid":493},"Marshall Keyster","https:\u002F\u002Forcid.org\u002F0000-0002-8718-736X",{"name":495,"orcid":496},"Mbukeni Nkomo","https:\u002F\u002Forcid.org\u002F0000-0002-7652-1588",{"tldr":498,"method":499,"finding":500,"direction":228,"opportunity":501},"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。","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":504,"title":505,"url":506,"summary":507,"summary_zh":508,"content":9,"source_name":509,"source_url":506,"published_at":510,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":511,"score_detail":512,"sources":514,"tags":516,"primary_topic":519,"secondary_topics":520,"classification":521,"search_phrases":557,"slug":560,"view_count":561,"doi":562,"paper":563,"created_at":581},2769,"Climate change impacts and resilience pathways in somalia through a systematic review","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs42452-026-09538-5","Somalia is among the most climate-vulnerable countries worldwide, characterized by predominantly arid and semi-arid regions increasingly affected by recurrent droughts, irregular precipitation, rising temperatures, land degradation, and water scarcity, all of which compromise livelihoods, food security, and socio-economic stability. This study addresses the limited synthesis of recent, spatially explicit evidence on climate change impacts in Somalia by bringing together current literature and institutional reports to analyze the effects of climate change and identify adaptation and resilience strategies The review is entirely desk-based and utilizes 30 secondary data articles from reputable sources such as FAO-SWALIM, the World Bank, ICPAC, FSNAU, USAID, and peer-reviewed research articles from Scopus and web of science published from 2008 to 2025. The results showed that over 60% of Somalia’s territory is categorized as arid or hyper-arid, with the southern parts seeing the most acute soil erosion and environmental deterioration. Significant drought occurrences, especially in 2010–2011 and 2016–2017, were greatly impacted by extensive climatic factors including ENSO and the Indian Ocean Dipole. Climate variability has resulted in reduced crop yields, pasture degradation, livestock mortality, persistent water shortages, and extensive food insecurity, while inadequate governance, restricted climate financing, and deficient early-warning and monitoring systems hinder effective adaptation. The review emphasizes that climate change presents a systemic threat to Somalia’s environmental and livelihood systems, highlighting the necessity for integrated, spatially informed strategies that incorporate GIS-based environmental monitoring, sustainable land and water management, climate-smart agriculture, strengthened institutions, and enhanced access to climate finance to support long-term resilience and sustainable development.","索马里是全球最易受气候变化影响的国家之一，其国土以干旱和半干旱地区为主，日益受到反复出现的干旱、降水不规律、气温上升、土地退化及水资源短缺的影响，这些问题共同威胁着生计、粮食安全和社会经济稳定。本研究针对索马里气候变化影响近期空间明确证据综合不足的问题，汇集当前文献和机构报告，分析气候变化的影响并识别适应与韧性策略。本综述完全基于案头研究，使用了来自FAO-SWALIM、世界银行、ICPAC、FSNAU、USAID等知名来源的30篇二手数据文献，以及2008年至2025年间发表于Scopus和Web of Science的同行评审研究论文。结果表明，索马里超过60%的领土被归类为干旱或极度干旱，南部地区土壤侵蚀和环境退化最为严重。重大干旱事件，尤其是2010—2011年和2016—2017年的干旱，受到包括厄尔尼诺-南方涛动（ENSO）和印度洋偶极子（IOD）在内的广泛气候因素的显著影响。气候变率导致作物减产、牧场退化、牲畜死亡、持续的水资源短缺和大范围的粮食不安全，而治理不足、气候融资受限以及预警和监测系统薄弱则阻碍了有效适应。本综述强调，气候变化对索马里的环境和生计系统构成系统性威胁，凸显了采取综合性、空间信息化策略的必要性，这些策略应包括基于GIS的环境监测、可持续土地和水资源管理、气候智慧型农业、强化制度以及增强气候融资渠道，以支持长期韧性和可持续发展。","Discover Applied Sciences","2026-09-16T00:00:00Z",76,{"impact":17,"substance":412,"depth":241,"authority":159,"freshness":160,"relevant":21,"comment":513},"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。",[515],{"name":509,"url":506},[26,28,517,29,518],"气候智慧农业","干旱监测",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":45,"locked":46,"version":47,"method":48,"evidence":522},{"candidates":523,"agricultural_evidence":14},[524,528,532,536,540,545,549,553],{"code":32,"score":412,"supported":14,"title":525,"abstract":526,"tags":527},[57],[28,56,57,54],[518,28,517],{"code":67,"score":68,"supported":14,"title":529,"abstract":530,"tags":531},[],[26,71],[26],{"code":82,"score":75,"supported":14,"title":533,"abstract":534,"tags":535},[],[85,86],[],{"code":357,"score":97,"supported":14,"title":537,"abstract":538,"tags":539},[],[360],[],{"code":89,"score":97,"supported":14,"title":541,"abstract":542,"tags":544},[],[543],"水资源",[],{"code":103,"score":97,"supported":14,"title":546,"abstract":547,"tags":548},[],[106],[],{"code":109,"score":97,"supported":14,"title":550,"abstract":551,"tags":552},[],[112],[],{"code":115,"score":21,"supported":46,"title":554,"abstract":555,"tags":556},[],[],[29],[558,559],"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":562,"openalex_id":564,"authors":565,"venue":509,"cited_by_count":136,"oa_url":506,"card":575,"direction":143,"ingested_from":144},"W7213257664",[566,568,570,573],{"name":567,"orcid":9},"Abdiaziz Hassan Nur",{"name":569,"orcid":9},"Mohamed Osman Abdulkadir",{"name":571,"orcid":572},"Omar Ali","https:\u002F\u002Forcid.org\u002F0009-0001-3009-1850",{"name":574,"orcid":9},"Ahmed Sodal Asir",{"tldr":576,"method":577,"finding":578,"direction":579,"opportunity":580},"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。","2026-09-17T23:30:10.557669Z",{"id":583,"title":584,"url":585,"summary":586,"summary_zh":587,"content":9,"source_name":588,"source_url":585,"published_at":589,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":511,"score_detail":590,"sources":592,"tags":594,"primary_topic":597,"secondary_topics":598,"classification":599,"search_phrases":638,"slug":641,"view_count":21,"doi":642,"paper":643,"created_at":654},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":412,"depth":241,"authority":182,"freshness":20,"relevant":21,"comment":591},"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。",[593],{"name":588,"url":585},[417,595,26,596,28,29],"农业人工智能","病虫害防控",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":45,"locked":46,"version":47,"method":48,"evidence":600},{"candidates":601,"agricultural_evidence":14},[602,606,610,614,618,622,626,632],{"code":32,"score":176,"supported":14,"title":603,"abstract":604,"tags":605},[57],[28,57],[28],{"code":103,"score":13,"supported":14,"title":607,"abstract":608,"tags":609},[],[195,106,196],[417],{"code":67,"score":68,"supported":14,"title":611,"abstract":612,"tags":613},[],[26,71],[26],{"code":115,"score":68,"supported":14,"title":615,"abstract":616,"tags":617},[],[266,267],[29],{"code":465,"score":200,"supported":14,"title":619,"abstract":620,"tags":621},[],[468],[595],{"code":199,"score":97,"supported":14,"title":623,"abstract":624,"tags":625},[],[203],[],{"code":627,"score":97,"supported":14,"title":628,"abstract":629,"tags":631},"H6",[],[630],"农业生态",[],{"code":633,"score":97,"supported":14,"title":634,"abstract":635,"tags":637},"J3",[],[636],"全球农业",[],[639,640],"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":642,"openalex_id":644,"authors":645,"venue":588,"cited_by_count":136,"oa_url":585,"card":649,"direction":143,"ingested_from":144},"W7212022123",[646],{"name":647,"orcid":648},"Ekrem ASLAN","https:\u002F\u002Forcid.org\u002F0000-0001-8829-7301",{"tldr":650,"method":651,"finding":652,"direction":228,"opportunity":653},"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"]