[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1217":3,"related-1217":68},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":6,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":21,"tags":23,"primary_topic":8,"secondary_topics":28,"classification":29,"search_phrases":42,"slug":45,"view_count":46,"doi":47,"paper":48,"created_at":67},1217,"Linking multidimensional cropland ecosystem health assessment, spatialized dominant-driver diagnosis and mechanism-informed zoning in the middle and lower Yellow River, China","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104946","Linking multidimensional cropland ecosystem health assessment, spatialized dominant-driver diagnosis and mechanism-informed zoning in the middle and lower Yellow River, China。Agricultural Systems",null,"Agricultural Systems","2026-08-27T00:00:00Z","论文",10,false,63,{"impact":16,"substance":17,"depth":17,"authority":18,"freshness":19,"relevant":19,"comment":20},12,18,14,1,"聚焦黄河流域耕地生态系统健康评估，方法新颖，数据详实，对区域农业可持续发展有参考价值。",[22],{"name":9,"url":6},[24,25,26,27],"农业生态","耕地健康","遥感评估","黄河流域",[],{"status":30,"locked":13,"version":31,"method":32,"evidence":33},"unclassified","2026-10-22.2","rules",{"candidates":34,"agricultural_evidence":40,"reason":41},[35],{"code":36,"score":19,"supported":13,"title":37,"abstract":38,"tags":39},"H6",[],[],[24],true,"缺少足够的主题证据",[43,44],"农业生态 耕地健康 遥感评估 黄河流域","农业生态 耕地健康","农业生态耕地健康遥感评估黄河流域-1217",2,"10.1016\u002Fj.agsy.2026.104946",{"doi":47,"openalex_id":49,"authors":50,"venue":9,"cited_by_count":65,"oa_url":8,"card":8,"direction":8,"ingested_from":66},"W7204222255",[51,54,56,58,61,63],{"name":52,"orcid":53},"Shanshan Guo","https:\u002F\u002Forcid.org\u002F0000-0001-5746-5878",{"name":55,"orcid":8},"Peter M. Atkinson",{"name":57,"orcid":8},"Junchang Huang",{"name":59,"orcid":60},"Hejie Wei","https:\u002F\u002Forcid.org\u002F0000-0001-6144-0657",{"name":62,"orcid":8},"Tingyuan Zhou",{"name":64,"orcid":8},"Ling Li",0,"openalex","2026-09-01T04:03:05.981697Z",{"total":69,"page":19,"page_size":69,"items":70},6,[71,127,221,294,346,444],{"id":72,"title":73,"url":74,"summary":75,"summary_zh":8,"content":8,"source_name":76,"source_url":8,"published_at":77,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":78,"score_detail":79,"sources":85,"tags":87,"primary_topic":92,"secondary_topics":98,"classification":99,"search_phrases":113,"slug":116,"view_count":19,"doi":8,"paper":117,"created_at":126},5303,"济南大学《Frontiers in Sustainable Food Systems》:极端高温威胁中国粮食韧性——黄河流域9省研究","https:\u002F\u002Fagritechinsights.com\u002Findex.php\u002F2026\u002F10\u002F17\u002Fextreme-heat-threatens-chinas-grain-resilience","济南大学商学院王雯雯团队发表论文,基于2013-2022年黄河流域9省面板数据构建\"粮食生产韧性指数\"评估农业系统抵御、恢复和适应冲击能力;研究发现无论是热浪还是寒潮等极端温度事件都持续削弱该区域维持稳定粮食产出的能力;数字乡村建设(精准农具、气候智能咨询服务、移动金融)对气候冲击起缓冲作用,但小型、欠发达区域的脆弱性更为突出。","Frontiers in Sustainable Food Systems(2026)","2026-10-17T00:00:00Z",80,{"impact":17,"substance":80,"depth":81,"authority":82,"freshness":83,"relevant":19,"comment":84},22,19,13,8,"基于黄河流域9省面板数据的实证研究，结论有政策参考价值，数字乡村的缓冲作用值得关注。",[86],{"name":76,"url":74},[88,89,27,90,91],"数字乡村","气候适应","粮食韧性","极端高温",{"code":93,"slug":94,"name":95,"path":96,"parent_code":97},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":100,"locked":13,"version":31,"method":32,"evidence":101},"classified",{"candidates":102,"agricultural_evidence":40},[103,108],{"code":93,"score":104,"supported":40,"title":105,"abstract":106,"tags":107},4,[],[88],[88],{"code":109,"score":19,"supported":13,"title":110,"abstract":111,"tags":112},"H7",[],[],[89],[114,115],"济南大学 粮食韧性 黄河流域","数字乡村 极端高温 粮食生产","济南大学粮食韧性黄河流域-5303",{"doi":8,"openalex_id":8,"authors":118,"venue":8,"cited_by_count":65,"oa_url":8,"card":119,"direction":123,"ingested_from":125},[],{"tldr":120,"method":121,"finding":122,"direction":123,"opportunity":124},"基于黄河流域9省面板数据，评估极端温度对粮食生产韧性的影响及数字乡村的缓冲作用。","2013-2022年黄河流域9省面板数据，构建粮食生产韧性指数。","热浪与寒潮均持续削弱粮食产出稳定性，数字乡村建设有缓冲作用但小规模欠发达地区更脆弱。","农业绿色发展与碳","可探究数字乡村工具在不同规模农户间的差异化缓冲机制，聚焦小农户气候适应技术采纳路径。","agent","2026-10-19T00:07:48.704792Z",{"id":128,"title":129,"url":130,"summary":131,"summary_zh":132,"content":8,"source_name":133,"source_url":130,"published_at":134,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":135,"score_detail":136,"sources":139,"tags":141,"primary_topic":146,"secondary_topics":151,"classification":152,"search_phrases":187,"slug":190,"view_count":19,"doi":191,"paper":192,"created_at":220},4992,"Evaluating tools and methods for agroecosystem sustainability and performance: a critical review","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44274-026-01121-4","The sustainability and performance of agroecosystems are critical for confronting global challenges, from food security to biodiversity loss. This critical narrative review synthesizes 137 peer-reviewed sources and grey literature documents (2000-2024) to interrogate the epistemological assumptions, power dynamics, and contextual appropriateness of sustainability assessment frameworks. This comprehensive review systematically analyzes the diverse tools and methodologies; including Life Cycle Assessment (LCA), Response-Inducing Sustainability Evaluation (RISE), Framework for the Evaluation of Natural Resource Management Systems Incorporating Sustainability Indicators (MESMIS), and Tool for Agroecology Performance Evaluation (TAPE); used to evaluate this sustainability. This analysis moves beyond a simple comparison to offer a critical interrogation of these frameworks, exposing a fundamental tension between reductionist tools that offer precise, quantifiable data but often miss systemic interactions, and holistic, participatory approaches that capture socio-ecological complexity but struggle with standardization and scalability. This review underscores that sustainability assessment is not a neutral technical exercise but a value-laden process fraught with trade-offs, power dynamics, and epistemological conflicts, particularly between scientific and indigenous knowledge systems. The transformative potential of emerging technologies like Artificial Intelligence (AI) and remote sensing is examined, while cautioning against technological optimism that risks exacerbating inequities. Ultimately, this review argues for a shift towards reflexive, pluralistic assessment processes that prioritize equity, adaptive learning, and critical independence over standardized scoring, providing practical heuristics for researchers and practitioners navigating methodological trade-offs in diverse contexts.","农业生态系统的可持续性与表现对于应对从粮食安全到生物多样性丧失等全球性挑战至关重要。本批判性叙事综述综合了137篇同行评审文献和灰色文献（2000—2024年），旨在审视可持续性评估框架的认识论假设、权力动态及情境适宜性。本综述系统分析了用于评估该可持续性的多种工具和方法，包括生命周期评价（LCA）、诱导响应可持续性评估（RISE）、纳入可持续性指标的自然资源管理系统评价框架（MESMIS）以及农业生态表现评估工具（TAPE）。本分析超越了简单的比较，对这些框架进行了批判性审视，揭示了还原论工具与整体性参与式方法之间的根本张力——前者提供精确、可量化的数据，但往往忽视系统性交互；后者捕捉社会生态复杂性，却在标准化和可扩展性方面面临困难。本综述强调，可持续性评估并非中性的技术操作，而是一个充满价值负载的过程，充斥着权衡取舍、权力动态和认识论冲突，尤其是科学知识体系与本土知识体系之间的冲突。本文审视了人工智能（AI）和遥感等新兴技术的变革潜力，同时警示技术乐观主义可能加剧不平等。最终，本综述主张转向反思性、多元化的评估过程，将公平、适应性学习和批判性独立置于标准化评分之上，并为研究者和实践者在不同情境中应对方法论权衡提供实用启发式指南。","Discover Environment","2026-10-13T00:00:00Z",71,{"impact":16,"substance":137,"depth":17,"authority":82,"freshness":83,"relevant":19,"comment":138},20,"系统梳理LCA、RISE、MESMIS、TAPE等农业生态可持续性评估工具，指出还原论与整体论方法的张力，并讨论AI与遥感的赋能潜力，对农业信息化与智慧农业评估体系有参考价值。",[140],{"name":133,"url":130},[142,143,24,144,145],"农业人工智能","农业遥感","生命周期评价","可持续评价",{"code":36,"slug":147,"name":148,"path":149,"parent_code":150},"biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",[],{"status":100,"locked":13,"version":31,"method":32,"evidence":153},{"candidates":154,"agricultural_evidence":40},[155,161,169,176,182],{"code":36,"score":12,"supported":40,"title":156,"abstract":157,"tags":160},[],[158,24,147,159],"生物多样性","agroecology",[24],{"code":162,"score":163,"supported":40,"title":164,"abstract":165,"tags":168},"I3",7,[],[166,167],"遥感","remote sensing",[143],{"code":170,"score":69,"supported":40,"title":171,"abstract":172,"tags":175},"A8",[],[173,174],"粮食安全","food security",[],{"code":177,"score":104,"supported":40,"title":178,"abstract":179,"tags":181},"I2",[],[180],"artificial intelligence",[142],{"code":183,"score":19,"supported":13,"title":184,"abstract":185,"tags":186},"H4",[],[],[144],[188,189],"TAPE 农业生态 评价","RISE MESMIS 可持续评估","TAPE农业生态评价-4992","10.1007\u002Fs44274-026-01121-4",{"doi":191,"openalex_id":193,"authors":194,"venue":133,"cited_by_count":65,"oa_url":213,"card":214,"direction":219,"ingested_from":66},"W7221633095",[195,198,201,204,206,208,210],{"name":196,"orcid":197},"Pierre Marie Chimi","https:\u002F\u002Forcid.org\u002F0000-0003-4520-4165",{"name":199,"orcid":200},"Karimou Ngamsou Abdel","https:\u002F\u002Forcid.org\u002F0000-0002-8126-6235",{"name":202,"orcid":203},"Baruch Batamack Nkoué","https:\u002F\u002Forcid.org\u002F0000-0001-5601-3327",{"name":205,"orcid":8},"Eusebe Ydelphonse Nyonce Pokam",{"name":207,"orcid":8},"Angele Marie Ngon Dikoume",{"name":209,"orcid":8},"Benjamin Loïc Ndong Ndzana",{"name":211,"orcid":212},"William Armand Mala","https:\u002F\u002Forcid.org\u002F0000-0002-2240-3746","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44274-026-01121-4.pdf",{"tldr":215,"method":216,"finding":217,"direction":123,"opportunity":218},"综述137篇文献，批判性评估农业生态系统可持续性评价工具的方法论假设与权衡。","批判性叙事综述，分析LCA、RISE、MESMIS、TAPE等框架及AI与遥感。","评价工具在简化精确与整体参与间存在根本张力，评价是价值负载过程。","可开发兼顾标准化与参与式、融合本土知识并反思技术乐观的混合评价框架。","智慧农业 \u002F 农业物联网","2026-10-15T23:30:10.405237Z",{"id":222,"title":223,"url":224,"summary":225,"summary_zh":226,"content":8,"source_name":227,"source_url":224,"published_at":228,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":229,"score_detail":230,"sources":233,"tags":235,"primary_topic":8,"secondary_topics":240,"classification":241,"search_phrases":264,"slug":267,"view_count":19,"doi":268,"paper":269,"created_at":293},4828,"Reconstructed Evapotranspiration in Northern China: Trends, Drivers, and Ecohydrological Impacts","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.70627","ABSTRACT Attributing regional evapotranspiration (ET) and assessing its impacts are critical for understanding land‐atmosphere interactions in climate‐sensitive regions such as northern China. This study fuses six gridded ET products with in situ measurements using Random Forest after excluding poorly representative flux sites. The resulting monthly 0.25° dataset (1980 to 2021) outperforms all original products, reducing the cross‐validation RMSE from 15.15–22.03 mm month −1 to 11.54 mm month −1 . Based on reconstructed ET, significant increasing ET trends ( p \u003C 0.05) are observed on the Loess Plateau and North China Plain, with a mean trend of 13.3 mm (10a) −1 in humid regions. Using XGBoost with SHAP analysis reveals that precipitation dominates ET interannual variability in grasslands and bare lands, accounting for 35.4% to 40.6%. Yet, as a driver of the long‐term ET trend, precipitation is dominant only in about 5% of the region, specifically over bare land in western Inner Mongolia. Instead, NDVI drives ET trends over 52% of northern China, making vegetation greening a primary force enhancing ET under warming. Enhanced ET offsets precipitation‐driven water yield gains most markedly in semi‐arid regions. There, the ET‐induced reduction reaches −11.4 ± 7.7 mm (10a) −1 , exceeding the positive contribution from precipitation (2.3 ± 9.2 mm (10a) −1 ). Meanwhile, ET positively contributes to the Evaporative Stress Index (ET\u002FPET) over semi‐arid regions, generating a coexistence of ecological wetting but hydrological drying. This study provides ecological insights into ET changes and their contrasting hydrological impacts in climate‐sensitive regions.","摘要 归因区域蒸散发（ET）并评估其影响，对于理解中国北方等气候敏感地区的陆气相互作用至关重要。本研究在剔除代表性较差的通量站点后，利用随机森林将六种网格化ET产品与站点实测数据进行融合。所得1980—2021年月尺度0.25°数据集优于所有原始产品，将交叉验证的RMSE从15.15—22.03 mm month⁻¹降至11.54 mm month⁻¹。基于重建的ET，在黄土高原和华北平原观测到显著的ET增加趋势（p \u003C 0.05），湿润地区的平均趋势为13.3 mm (10a)⁻¹。利用XGBoost结合SHAP分析发现，降水主导了草地和裸地ET的年际变率，贡献率为35.4%至40.6%。然而，作为长期ET趋势的驱动因子，降水仅在大约5%的区域占主导，具体为内蒙古西部的裸地。相反，NDVI驱动了中国北方52%以上区域的ET趋势，使植被绿化成为增温背景下增强ET的主要力量。ET增强对降水驱动的水量增加的正向抵消在半干旱地区最为显著。在那里，ET引起的减少量达到−11.4 ± 7.7 mm (10a)⁻¹，超过了降水的正贡献（2.3 ± 9.2 mm (10a)⁻¹）。同时，ET对半干旱地区的蒸发胁迫指数（ET\u002FPET）有正贡献，导致生态变湿与水文变干并存。本研究为气候敏感地区ET变化及其截然不同的水文影响提供了生态学见解。","International Journal of Climatology","2026-10-11T00:00:00Z",81,{"impact":17,"substance":231,"depth":81,"authority":18,"freshness":163,"relevant":19,"comment":232},23,"融合六套蒸散发产品重建华北0.25°长序列数据集，揭示植被绿化主导蒸散发上升及半干旱区生态变湿、水文变干的分异，对区域农业水资源管理有参考价值。",[234],{"name":227,"url":224},[236,237,27,238,239],"农业水资源","NDVI","华北平原","遥感蒸散发",[],{"status":242,"locked":13,"version":31,"method":32,"evidence":243},"needs_review",{"candidates":244,"agricultural_evidence":13,"reason":263},[245,253,259],{"code":246,"score":247,"supported":40,"title":248,"abstract":250,"tags":252},"H3",15,[249],"evapotranspiration",[251,249],"蒸散发",[236],{"code":109,"score":254,"supported":40,"title":255,"abstract":256,"tags":258},3,[],[257],"干旱",[],{"code":162,"score":19,"supported":13,"title":260,"abstract":261,"tags":262},[],[],[237],"农业相关性需要复核",[265,266],"黄土高原 蒸散发 NDVI","华北平原 蒸散发 数据集","黄土高原蒸散发NDVI-4828","10.1002\u002Fjoc.70627",{"doi":268,"openalex_id":270,"authors":271,"venue":227,"cited_by_count":65,"oa_url":286,"card":287,"direction":291,"ingested_from":66},"W7221437954",[272,275,277,280,283],{"name":273,"orcid":274},"Hongyu Li","https:\u002F\u002Forcid.org\u002F0000-0001-6807-1874",{"name":276,"orcid":8},"Yubo Su",{"name":278,"orcid":279},"Qiang Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-9067-4070",{"name":281,"orcid":282},"Ping Yue","https:\u002F\u002Forcid.org\u002F0000-0001-8736-949X",{"name":284,"orcid":285},"Liang Zhang","https:\u002F\u002Forcid.org\u002F0000-0003-4013-3273","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002Fpdfdirect\u002F10.1002\u002Fjoc.70627",{"tldr":288,"method":289,"finding":290,"direction":291,"opportunity":292},"融合六套蒸散发产品重建中国北方1980-2021年ET数据集，并归因趋势与生态水文影响。","随机森林融合六套ET产品与站点观测，XGBoost结合SHAP归因。","NDVI主导52%区域ET趋势，半干旱区ET增强抵消降水产水增益，生态变湿但水文变干。","农业遥感与作物表型","可探究植被绿化与水资源约束的权衡，发展兼顾生态与水文安全的灌溉调控策略。","2026-10-13T23:30:25.195900Z",{"id":295,"title":296,"url":297,"summary":298,"summary_zh":299,"content":8,"source_name":300,"source_url":297,"published_at":228,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":301,"score_detail":302,"sources":305,"tags":307,"primary_topic":311,"secondary_topics":312,"classification":313,"search_phrases":325,"slug":328,"view_count":19,"doi":329,"paper":330,"created_at":345},4738,"Natural ecosystem loss in an Atlantic Forest agricultural basin: drivers of land-use change and future landscape trajectories","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1912707","The Atlantic Forest, one of the world's most threatened biodiversity hotspots, faces intense pressure from agricultural expansion and inadequate land governance. Understanding the spatial drivers and future trajectories of land-use and land cover (LULC) change is critical for safeguarding the ecosystem services and biodiversity that remnant natural areas provide. This study investigated the relative importance of multiple biophysical, socioeconomic, and demographic drivers of natural ecosystem loss in the Guaporé River Basin (GRB), a 246,300-ha subtropical Atlantic Forest agricultural watershed in southern Brazil. We combined a municipality-level temporal trend analysis to characterize historical LULC dynamics (1998–2019) with the Dinamica EGO cellular automata model, calibrated using Weight of Evidence (WoE), to simulate future landscapes under 2030 and 2050 scenarios. Our results reveal divergent ecological dynamics across the basin. The Northern region experienced extensive remnant vegetation loss (1.55% yr −1 conversion to altered ecosystems), driven by flat terrain and high agricultural productivity, while the Southern region showed partial natural regeneration (1.40% yr −1 transition from altered to regenerating vegetation), linked to steeper slopes and vegetation extraction practices. Despite apparent recovery, closer analysis reveals a regressive process of ecological simplification, in which remnant vegetation is progressively replaced by regenerating vegetation. Future projections suggest that, without strengthened enforcement of Brazil's Natural Vegetation Protection Law, the Northern basin will lose an additional 15,903 ha of remnant vegetation by 2050. These findings highlight critical spatial mismatches between legal protection frameworks and actual land-use pressures, with direct implications for conservation planning, watershed management, and biodiversity protection in the Atlantic Forest biome.","大西洋森林是全球受威胁最严重的生物多样性热点地区之一，面临着农业扩张和土地治理不足带来的巨大压力。理解土地利用与土地覆盖（LULC）变化的空间驱动因素及未来演变趋势，对于维护残余自然区域所提供的生态系统服务和生物多样性至关重要。本研究考察了巴西南部瓜波雷河流域（GRB）自然生态系统丧失的多个生物物理、社会经济和人口驱动因素的相对重要性。该流域面积246,300公顷，属亚热带大西洋森林农业流域。我们将市级时间趋势分析（用于刻画1998—2019年历史LULC动态）与Dinamica EGO元胞自动机模型相结合，并采用证据权重法（WoE）进行校准，以模拟2030年和2050年情景下的未来景观。研究结果揭示了流域内差异化的生态动态。北部地区经历了大面积的残余植被丧失（年转化率1.55%，转为改变后的生态系统），其驱动因素为平坦地形和高农业生产力；而南部地区则表现出部分自然再生（年转化率1.40%，从改变后的生态系统转为再生植被），与较陡的坡度和植被采伐活动相关。尽管表面上呈现恢复态势，进一步分析却揭示了一个退行性的生态简化过程，即残余植被正逐步被再生植被所取代。未来预测表明，若不加紧执行巴西《自然植被保护法》，到2050年北部流域将再丧失15,903公顷残余植被。这些发现凸显了法律保护框架与实际土地利用压力之间的关键空间错配，对大西洋森林生物群系的保护规划、流域管理和生物多样性保护具有直接影响。","Frontiers in Sustainable Food Systems",75,{"impact":16,"substance":80,"depth":17,"authority":18,"freshness":303,"relevant":19,"comment":304},9,"基于元胞自动机与证据权重的巴西大西洋森林流域土地利用模拟研究，方法扎实、结论具体，但属区域案例，公共影响有限。",[306],{"name":300,"url":297},[24,158,308,309,310],"遥感监测","土地利用变化","流域治理",{"code":36,"slug":147,"name":148,"path":149,"parent_code":150},[],{"status":100,"locked":13,"version":31,"method":32,"evidence":314},{"candidates":315,"agricultural_evidence":40},[316,321],{"code":36,"score":16,"supported":40,"title":317,"abstract":318,"tags":320},[],[158,319,147],"生态系统服务",[24,309,158],{"code":162,"score":19,"supported":13,"title":322,"abstract":323,"tags":324},[],[],[308],[326,327],"Guaporé River Basin 土地利用","Atlantic Forest 农业流域 模拟","GuaporéRiverBasin土地利用-4738","10.3389\u002Ffsufs.2026.1912707",{"doi":329,"openalex_id":331,"authors":332,"venue":300,"cited_by_count":65,"oa_url":297,"card":340,"direction":291,"ingested_from":66},"W7221477243",[333,336,338],{"name":334,"orcid":335},"Edberto Moura Lima","https:\u002F\u002Forcid.org\u002F0000-0002-8447-8460",{"name":337,"orcid":8},"Bano Mehdi-Schulz",{"name":339,"orcid":8},"Jose Miguel Reichert",{"tldr":341,"method":342,"finding":343,"direction":291,"opportunity":344},"结合趋势分析与元胞自动机模拟巴西大西洋森林农业流域土地利用变化及未来情景。","Dinamica EGO元胞自动机+证据权重法，1998–2019年市级LULC","北部残存植被持续丧失，南部看似恢复实为生态简化，2050年北部将再失1.59万公顷。","可引入遥感时序与多尺度治理数据，量化法律保护与实际压力错配的驱动机制。","2026-10-12T23:30:06.576251Z",{"id":347,"title":348,"url":349,"summary":350,"summary_zh":8,"content":351,"source_name":352,"source_url":8,"published_at":353,"category":354,"cover_url":8,"hotness":12,"is_selected":13,"score":355,"score_detail":356,"sources":358,"tags":360,"primary_topic":365,"secondary_topics":371,"classification":372,"search_phrases":439,"slug":442,"view_count":65,"doi":8,"paper":8,"created_at":443},4540,"河南省农科院召开\"一室一中心一院\"融合发展动员部署会——整合优势学科打造黄河流域农牧创新高地","https:\u002F\u002Fwww.hnagri.org.cn\u002F","10月8日，河南省农业科学院召开\"一室一中心一院\"融合发展动员部署会。会议传达学习党的二十届四中全会精神和河南省委、省政府关于农业农村现代化的部署要求，研究推进河南省重点实验室、中原学者工作站、河南省农科院三块牌子一体化运行的体制机制创新。党委书记李卫东作动员讲话。会议明确，\"一室一中心一院\"融合发展将围绕四大主攻方向：一是小麦、玉米、花生、芝麻等大宗粮油作物的分子设计育种与种子加工；二是生猪、肉牛、家禽、草食动物等高效健康养殖与冷链加工；三是黄河流域盐碱地改良与农业生态保护；四是数字农业与智慧农作装备研发。会议要求全院上下打破所室壁垒，整合实验基地、仪器设备、人才团队资源，加快形成可考核可量化的阶段性成果，发挥河南农业大省的科技引领作用。","2026年10月10日 星期六 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107](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fpublic\u002F\u002Fimages\u002Findex\u002Fgray.png)[2026年3月系统动态](https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-112800.html)\n\n04-28\n\n![Image 108](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fpublic\u002F\u002Fimages\u002Findex\u002Fgray.png)[2026年2月系统动态](https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-112366.html)\n\n03-09\n\n![Image 109](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fpublic\u002F\u002Fimages\u002Findex\u002Fgray.png)[2026年1月系统动态](https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-112119.html)\n\n02-06\n\n 内设机构 \n\n 直属事业单位 \n\n 相关单位 \n\n![Image 110](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[院办公室](https:\u002F\u002Fwww.hnagri.org.cn\u002Fyuanban\u002Findex.html)\n\n![Image 111](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[直属单位党委](https:\u002F\u002Fwww.hnagri.org.cn\u002Fdangwei\u002Findex.html)\n\n![Image 112](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[科研管理处](https:\u002F\u002Fwww.hnagri.org.cn\u002Fkygl\u002Findex.html)\n\n![Image 113](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[科技成果示范推广处](https:\u002F\u002Fwww.hnagri.org.cn\u002Fcgtg\u002Findex.html)\n\n![Image 114](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[组织人事教育处](https:\u002F\u002Fwww.hnagri.org.cn\u002Fzzrjc\u002Findex.html)\n\n![Image 115](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[财务处](https:\u002F\u002Fwww.hnagri.org.cn\u002Fcwc\u002Findex.html)\n\n![Image 116](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[规划建设保障处](https:\u002F\u002Fwww.hnagri.org.cn\u002Fghjsc\u002Findex.html)\n\n![Image 117](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[审计监督处](https:\u002F\u002Fwww.hnagri.org.cn\u002Fsjjd\u002Findex.html)\n\n![Image 118](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[离退休人员工作处](https:\u002F\u002Fwww.hnagri.org.cn\u002Flaoganbu\u002Findex.html)\n\n![Image 119](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[小麦研究所](https:\u002F\u002Fwww.hnagri.org.cn\u002Fxiaomai\u002Findex.html)\n\n![Image 120](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[粮食作物研究所](https:\u002F\u002Fwww.hnagri.org.cn\u002Fliangshi\u002Findex.html)\n\n![Image 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126](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[畜牧研究所](https:\u002F\u002Fwww.hnagri.org.cn\u002Fxmsy\u002Findex.html)\n\n![Image 127](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[农业经济与农村发展研究所](http:\u002F\u002Fwww.hnagri.org.cn\u002Fnyjjncfa\u002F)\n\n![Image 128](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray.png)[农业信息技术研究所](http:\u002F\u002Fnjxxs.hnagri.org.cn\u002F)\n\n![Image 129](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fgray","河南省农业科学院 2026 年 10 月 08 日 院内新闻","2026-10-07T16:00:00Z","报道",65,{"impact":17,"substance":18,"depth":16,"authority":82,"freshness":83,"relevant":19,"comment":357},"省级农科院内部机构融合改革的动员部署报道，属省级科研机构动态，有区域创新布局信息但缺乏具体政策条款与数据，可作为行业动态收录。",[359],{"name":352,"url":349},[27,361,362,363,364],"融合发展","农牧创新","省级农科院","学科整合",{"code":366,"slug":367,"name":368,"path":369,"parent_code":370},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds","A",[],{"status":100,"locked":13,"version":31,"method":32,"evidence":373},{"candidates":374,"agricultural_evidence":40},[375,381,387,393,399,405,411,417,423,427,433],{"code":366,"score":69,"supported":40,"title":376,"abstract":377,"tags":380},[],[378,379],"花生","芝麻",[],{"code":382,"score":254,"supported":40,"title":383,"abstract":384,"tags":386},"A2",[],[385],"小麦",[],{"code":388,"score":254,"supported":40,"title":389,"abstract":390,"tags":392},"A3",[],[391],"玉米",[],{"code":394,"score":254,"supported":40,"title":395,"abstract":396,"tags":398},"C1",[],[397],"生猪",[],{"code":400,"score":254,"supported":40,"title":401,"abstract":402,"tags":404},"C2",[],[403],"肉牛",[],{"code":406,"score":254,"supported":40,"title":407,"abstract":408,"tags":410},"C3",[],[409],"家禽",[],{"code":412,"score":254,"supported":40,"title":413,"abstract":414,"tags":416},"E3",[],[415],"冷链",[],{"code":418,"score":254,"supported":40,"title":419,"abstract":420,"tags":422},"H2",[],[421],"盐碱地",[],{"code":36,"score":254,"supported":40,"title":424,"abstract":425,"tags":426},[],[24],[],{"code":428,"score":254,"supported":40,"title":429,"abstract":430,"tags":432},"I1",[],[431],"数字农业",[],{"code":434,"score":254,"supported":40,"title":435,"abstract":436,"tags":438},"J2",[],[437],"农业农村现代化",[],[440,441],"河南省农科院 一室一中心一院","黄河流域 农牧创新高地","河南省农科院一室一中心一院-4540","2026-10-10T00:14:58.009866Z",{"id":445,"title":446,"url":447,"summary":448,"summary_zh":8,"content":8,"source_name":449,"source_url":8,"published_at":450,"category":11,"cover_url":8,"hotness":451,"is_selected":13,"score":78,"score_detail":452,"sources":454,"tags":458,"primary_topic":461,"secondary_topics":462,"classification":463,"search_phrases":480,"slug":483,"view_count":46,"doi":484,"paper":485,"created_at":502},4406,"Extreme Temperature, Digital Rural Development, and Grain Production Resilience in the Yellow River Basin","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1912640\u002Ffull","王、于、杨、张基于 2013-2022 年黄河流域 9 省面板数据,构建包含抵抗力、恢复力、转型力的粮食生产韧性指数,实施双向固定效应模型、稳健性检验、内生性检验、异质性分析与调节效应模型;研究发现极端温度事件对粮食生产韧性具有显著负向影响,在非粮食主产区和农业低消费地区负相关性更明显;数字乡村发展在极端温度事件与粮食生产韧性之间发挥正向调节作用。","Frontiers in Sustainable Food Systems 2026-10-05 接受","2026-10-05T00:00:00Z",25,{"impact":17,"substance":80,"depth":17,"authority":82,"freshness":303,"relevant":19,"comment":453},"基于黄河流域9省十年面板数据的实证研究，方法规范、结论明确，对数字乡村应对气候风险的决策有参考价值。",[455,456],{"name":449,"url":447},{"name":300,"url":457},"https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1912640",[88,173,459,27,460],"农业韧性","极端气候",{"code":93,"slug":94,"name":95,"path":96,"parent_code":97},[],{"status":100,"locked":13,"version":31,"method":32,"evidence":464},{"candidates":465,"agricultural_evidence":40},[466,472,476],{"code":467,"score":83,"supported":40,"title":468,"abstract":470,"tags":471},"G",[469],"rural development",[],[],{"code":93,"score":104,"supported":40,"title":473,"abstract":474,"tags":475},[],[88],[88],{"code":170,"score":19,"supported":13,"title":477,"abstract":478,"tags":479},[],[],[173],[481,482],"黄河流域 粮食生产韧性 数字乡村","极端温度 粮食韧性 调节效应","黄河流域粮食生产韧性数字乡村-4406","10.3389\u002Ffsufs.2026.1912640\u002Ffull",{"doi":484,"openalex_id":486,"authors":487,"venue":300,"cited_by_count":65,"oa_url":457,"card":497,"direction":123,"ingested_from":66},"W7222684710",[488,491,493,495],{"name":489,"orcid":490},"Wenwen Wang","https:\u002F\u002Forcid.org\u002F0000-0003-1547-5714",{"name":492,"orcid":8},"Yanru Yu",{"name":494,"orcid":8},"Yuanyi Yang",{"name":496,"orcid":8},"Yanwei Zhang",{"tldr":498,"method":499,"finding":500,"direction":123,"opportunity":501},"基于黄河流域9省面板数据，研究极端温度对粮食生产韧性的影响及数字乡村的调节作用。","2013-2022年黄河流域9省面板数据，双向固定效应模型与调节效应模型。","极端温度显著降低粮食生产韧性，非主产区更明显；数字乡村发展起正向调节作用。","可探究数字乡村通过哪些具体路径（如信息获取、保险、技术采纳）缓解极端温度对粮食韧性的冲击。","2026-10-08T00:07:47.198797Z"]