[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3342":3,"related-3342":64},{"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,"search_phrases":31,"slug":34,"view_count":35,"doi":36,"paper":37,"created_at":63},3342,"Impact of agricultural greening on food production resilience-empirical evidence from China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1938875","The Food Production System is generally confronted with external uncertain shocks and rigid constraints from ecological factors. How to strengthen the system’s adaptability and resilience through green transition pathways is a crucial research topic in the field of modern agricultural governance. With the provincial panel data from China, the entropy method is adopted in this paper to measure agricultural greening and food production resilience, and then the two-way fixed-effect model, the moderating-effect model, the threshold-effect model and spatial econometric models are applied for empirical testing. According to the results, the degree of agricultural greening has promoted food production resilience; at the same time, regions show heterogeneity across geographical regions and grain functional zones. Green finance and rural scientific and technological input will also be effective driving forces. There is a single threshold for economic development level; after exceeding it, the marginal promoting effect on resilience weakens, but remains significantly positive. Food production resilience also exhibits significant spatial dependence, and agricultural greening generates positive spillover effects on neighboring provinces under the adjacency-based spatial specification. This paper will provide new ideas for the theory of resilience enhancement and offer some references to help optimize the distribution of agricultural green factors and foster long-term stable grain production.","粮食生产系统普遍面临外部不确定冲击与生态因素的刚性约束。如何通过绿色转型路径增强系统的适应性与韧性，是现代农业农村治理领域的重要研究课题。本文基于中国省级面板数据，采用熵值法测度农业绿色化与粮食生产韧性，进而运用双向固定效应模型、调节效应模型、门槛效应模型及空间计量模型进行实证检验。结果表明，农业绿色化程度提升了粮食生产韧性；同时，不同地理区域与粮食功能区呈现出异质性。绿色金融与农村科技投入也是有效的驱动力量。经济发展水平存在单一门槛，跨越门槛后对韧性的边际促进效应减弱，但仍显著为正。粮食生产韧性还表现出显著的空间依赖性，在邻接空间设定下，农业绿色化对邻近省份产生正向溢出效应。本文将为韧性提升理论提供新思路，并为优化农业绿色要素配置、促进粮食长期稳定生产提供一定参考。",null,"Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z","论文",10,false,79,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,13,8,1,"基于中国省级面板数据的实证研究，方法扎实、结论有政策参考价值，但属学术论文而非产业级事件，适合进入主题聚合而非头条精选。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业绿色发展","粮食生产韧性","农业科技投入","绿色金融","空间溢出效应",[32,33],"农业绿色化 粮食生产韧性","绿色金融 农村科技投入","农业绿色化粮食生产韧性-3342",0,"10.3389\u002Ffsufs.2026.1938875",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":6,"card":56,"direction":60,"ingested_from":62},"W7214113879",[40,42,45,47,49,51,54],{"name":41,"orcid":9},"Huimin Shao",{"name":43,"orcid":44},"Wenjuan Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-5062-1292",{"name":46,"orcid":9},"Qiong Peng",{"name":48,"orcid":9},"Haichuan Liu",{"name":50,"orcid":9},"Liangyan Lu",{"name":52,"orcid":53},"Mcxin Tee","https:\u002F\u002Forcid.org\u002F0000-0001-7990-8377",{"name":55,"orcid":9},"Qing Jin",{"tldr":57,"method":58,"finding":59,"direction":60,"opportunity":61},"基于中国省级面板数据，实证检验农业绿色化对粮食生产韧性的提升作用。","熵值法测度指标，双向固定效应、调节效应、门槛效应与空间计量模型。","农业绿色化显著提升粮食生产韧性，存在区域异质性、经济门槛及正向空间溢出。","农业绿色发展与碳","可探究绿色金融与科技投入的协同机制，及跨区域溢出路径的微观落地。","openalex","2026-09-24T23:30:07.857044Z",{"total":65,"page":21,"page_size":65,"items":66},6,[67,99,136,179,207,246],{"id":68,"title":69,"url":70,"summary":71,"summary_zh":9,"content":9,"source_name":72,"source_url":9,"published_at":73,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":74,"score_detail":75,"sources":80,"tags":82,"search_phrases":86,"slug":89,"view_count":35,"doi":9,"paper":90,"created_at":98},2112,"《\"数绿协同\"驱动农业环境效率提升的作用机制》 浙江72县域双向固定效应","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F165472.html","基于2007—2022年浙江省72个县域面板数据,采用超效率SBM-Undesirable非期望产出模型测算农业环境效率,结合双向固定效应模型、调节效应与面板门槛模型,实证检验\"数绿协同\"提升农业环境效率的多维作用机理。结果表明\"数绿协同\"显著提升农业环境效率,区域创新活力、绿色金融发展均能显著增强其效率提升作用;当区域创新、绿色金融跨越门槛值后提升作用显著增强;该效应在经济发达县域、数字化水平较高地区、和美乡村示范县中显著呈现。","农业经济与管理 2026年第03期","2026-09-05T00:00:00Z",75,{"impact":76,"substance":77,"depth":17,"authority":78,"freshness":65,"relevant":21,"comment":79},16,21,14,"基于浙江72县域长面板的实证研究，方法规范、结论可靠，对数字技术与绿色协同驱动农业绿色发展有参考价值，但属区域层面学术成果，时效性一般。",[81],{"name":72,"url":70},[83,26,84,29,85],"数字乡村","县域农业","农业环境效率",[87,88],"农业环境效率 农业绿色发展 县域农业 数字乡村","农业环境效率 农业绿色发展","农业环境效率农业绿色发展县域农业数字乡村-2112",{"doi":9,"openalex_id":9,"authors":91,"venue":9,"cited_by_count":35,"oa_url":9,"card":92,"direction":60,"ingested_from":97},[],{"tldr":93,"method":94,"finding":95,"direction":60,"opportunity":96},"基于浙江72县2007—2022年数据，实证检验数绿协同对农业环境效率的提升机制。","超效率SBM-Undesirable测效率，双向固定效应、调节效应与面板门槛模型","数绿协同显著提升农业环境效率，创新活力与绿色金融正向调节且存在门槛效应。","可拓展至跨省县域比较，探究数绿协同的空间溢出与政策异质性机制。","agent","2026-09-11T00:04:23.067609Z",{"id":100,"title":101,"url":102,"summary":103,"summary_zh":104,"content":9,"source_name":105,"source_url":102,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":106,"score_detail":107,"sources":110,"tags":112,"search_phrases":117,"slug":120,"view_count":35,"doi":121,"paper":122,"created_at":135},3365,"The Impact of Agricultural Digitization on Green Total Factor Productivity in Agriculture: Evidence from 30 Provinces in China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu18199758","Amid tighter resource and environmental limits in China, the integration of digitization and greening gives new momentum to sustainable agriculture; however, its methods and structural conditions remain unclear. This study utilizes provincial panel data from 2011–2023 and the super-efficiency SBM-GML model to estimate agricultural green total factor productivity (AGTFP). It empirically examines the green empowerment effect of agricultural digitization, its transmission pathways, and structural boundaries. Unlike existing studies that rely on input-oriented or rural-level digitalization measures and qualitative regional groupings, this study constructs an agriculture-specific index, identifies agricultural socialized services (ASS) as an organizational channel, examines the moderating role of environmental regulation, and uses a continuous threshold variable to identify the structural breakpoint at which digitization’s green effect changes. The findings indicate that digitization considerably enhances AGTFP, and this association remains stable across a range of robustness checks. Mechanism analysis indicates that ASS partially mediates this effect, while environmental regulation intensity positively moderates the relationship. Heterogeneity and threshold analyses show that the empowering effect is only significant in the eastern region, but not in the central and western regions; it is significant in the main grain-producing areas. Moreover, a tentative structural breakpoint is identified when the grain-sown area proportion reaches 0.486. Since this threshold is statistically significant only at the 10% level, it should be regarded as preliminary evidence. Accordingly, we recommend regionally differentiated digital agriculture strategies, strengthening the socialized agricultural service system, and enhancing synergy between environmental regulation and digital empowerment to effectively advance the green transformation of China’s agriculture.","在中国资源与环境约束趋紧的背景下，数字化与绿色化的融合为可持续农业注入了新动力；然而，其实现路径与结构性条件仍不明确。本研究利用2011—2023年省级面板数据和超效率SBM-GML模型测算农业绿色全要素生产率（AGTFP），实证检验了农业数字化的绿色赋能效应、传导路径及结构边界。与现有研究依赖投入导向或农村层面数字化指标以及定性区域分组不同，本研究构建了农业专属指数，识别出农业社会化服务（ASS）作为组织化渠道，考察了环境规制的调节作用，并使用连续门槛变量识别数字化绿色效应发生变化的结构性断点。研究发现，数字化显著提升了AGTFP，且该关联在一系列稳健性检验中保持稳定。机制分析表明，ASS在其中发挥部分中介作用，而环境规制强度正向调节该关系。异质性与门槛分析显示，赋能效应仅在东部地区显著，在中西部地区不显著；在粮食主产区显著。此外，当粮食播种面积占比达到0.486时，识别出一个初步的结构性断点。由于该门槛仅在10%水平上统计显著，应将其视为初步证据。据此，我们建议采取区域差异化的数字农业策略，强化农业社会化服务体系，并增强环境规制与数字赋能之间的协同效应，以有效推进中国农业绿色转型。","Sustainability",85,{"impact":18,"substance":108,"depth":17,"authority":78,"freshness":20,"relevant":21,"comment":109},23,"基于30省面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文且时效性一般，适合主题聚合而非每日精选头条。",[111],{"name":105,"url":102},[26,113,114,115,116],"农业数字化","粮食主产区","农业社会化服务","环境规制",[118,119],"农业数字化 绿色全要素生产率","农业社会化服务 环境规制","农业数字化绿色全要素生产率-3365","10.3390\u002Fsu18199758",{"doi":121,"openalex_id":123,"authors":124,"venue":105,"cited_by_count":35,"oa_url":102,"card":129,"direction":134,"ingested_from":62},"W7214071788",[125,127],{"name":126,"orcid":9},"Zhaojuan Meng",{"name":128,"orcid":9},"Guixiang Lin",{"tldr":130,"method":131,"finding":132,"direction":60,"opportunity":133},"基于2011–2023年省级面板数据，检验农业数字化对农业绿色全要素生产率的赋能效应、机制与结构边界","超效率SBM-GML测算AGTFP，构建农业专属数字化指数，中介、调节与连续门槛","数字化显著提升AGTFP，农业社会化服务部分中介，环境规制正向调节，效应仅东部和主产区显著。","可深入探究中西部数字化绿色效应缺失的组织与市场条件，并验证粮食播种面积占比0.486的结构断点。","数字乡村与农业信息化","2026-09-24T23:30:25.917176Z",{"id":137,"title":138,"url":139,"summary":140,"summary_zh":141,"content":9,"source_name":10,"source_url":139,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":142,"score_detail":143,"sources":146,"tags":148,"search_phrases":152,"slug":155,"view_count":35,"doi":156,"paper":157,"created_at":178},3333,"Beyond administrative boundaries: how agricultural socialized services drive grain-oriented cropping transformation in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1920691","China’s grain security rests on a smallholder sector in which the average household cultivates 0.6 hectares, a scale that constrains mechanization and limits gains in production efficiency. Since 2013 the government has responded through agricultural socialized service (ASS) pilots, which deliver mechanized and technical services to fragmented producers without altering land ownership. Causal evidence on how such policies reshape land allocation remains scarce, and their reach beyond implementing jurisdictions has been largely overlooked. Drawing on a panel of 30 Chinese provinces from 2006 to 2022, this study combines a multi-period difference-in-differences design with a spatial Durbin model to estimate the effect of the ASS pilots on grain-oriented cropping structure. The policy raises the grain share of sown area by 2.8 percentage points, an effect concentrated almost entirely in wheat, the most mechanization-compatible of the major grains. Four transmission channels register significant responses: land transfer consolidation, agricultural mechanization, cooperative development, and a widening rather than a narrowing of the grain portfolio. The last of these runs counter to the conventional specialization account and is consistent with service provision relaxing the timing constraint on multiple cropping, so that grain expansion and crop diversity advance together rather than trading off. Heterogeneity tracks physical conditions more closely than administrative geography: the estimated effect in plains provinces is roughly twice that in hilly provinces, whereas differences across the eastern, central and western belts are not statistically distinguishable. Spillovers are substantial. Indirect effects are 1.8 times direct effects and account for close to two thirds of the total, so non-spatial estimation understates the total policy effect by approximately 41% while overstating its purely local component by approximately 40%. Three implications follow: target service expansion by mechanization compatibility rather than by administrative region; sequence implementation outward from high-capacity provinces so that spillovers are harvested deliberately rather than incidentally; and evaluate service-oriented policies at a supra-provincial scale, since province-by-province assessment misstates both their magnitude and their geographic incidence.","中国的粮食安全建立在小农部门之上，户均耕地仅0.6公顷，这一规模制约了机械化并限制了生产效率的提升。自2013年以来，政府通过农业社会化服务（agricultural socialized service，ASS）试点予以应对，在不改变土地所有权的前提下，为细碎化生产者提供机械化与技术服务。关于此类政策如何重塑土地配置的因果证据仍然稀缺，且其超出实施辖区之外的溢出效应在很大程度上被忽视。本研究基于2006年至2022年中国30个省份的面板数据，将多期双重差分设计与空间杜宾模型相结合，估计ASS试点对粮食导向种植结构的影响。该政策使粮食播种面积占比提高2.8个百分点，这一效应几乎完全集中于小麦——主要粮食品种中与机械化兼容性最高者。四条传导渠道呈现显著响应：土地流转整合、农业机械化、合作社发展，以及粮食组合的拓宽而非收窄。最后一条与传统的专业化解释相悖，而与服务供给放松多熟制时间约束相一致，从而使粮食扩张与作物多样性齐头并进而非相互权衡。异质性更多地随自然条件而非行政区划而变化：平原省份的估计效应约为丘陵省份的两倍，而东部、中部和西部地带之间的差异在统计上不可区分。溢出效应十分显著。间接效应为直接效应的1.8倍，占总效应的近三分之二，因此非空间估计将政策总效应低估约41%，同时将其纯本地成分高估约40%。由此得出三点启示：应按机械化兼容性而非行政区划来定位服务扩展；从高能力省份向外依次推进实施，以便有意识地而非偶然地获取溢出效应；并在跨省尺度上评估服务导向型政策，因为逐省评估会误判其效应大小和地理分布。",86,{"impact":18,"substance":108,"depth":17,"authority":78,"freshness":144,"relevant":21,"comment":145},9,"基于30省2006—2022年面板数据的准自然实验研究，量化农业社会化服务试点对粮食种植结构的因果效应与跨省溢出，结论对服务政策的空间布局有直接参考价值。",[147],{"name":10,"url":139},[149,150,115,30,151],"粮食安全","农业机械化","农地流转",[153,154],"农业社会化服务 粮食种植结构","农业社会化服务试点 空间杜宾模型","农业社会化服务粮食种植结构-3333","10.3389\u002Ffsufs.2026.1920691",{"doi":156,"openalex_id":158,"authors":159,"venue":10,"cited_by_count":35,"oa_url":139,"card":173,"direction":134,"ingested_from":62},"W7214079035",[160,163,166,168,170],{"name":161,"orcid":162},"Ruofan Liao","https:\u002F\u002Forcid.org\u002F0009-0009-5058-7368",{"name":164,"orcid":165},"Kexin Zhang","https:\u002F\u002Forcid.org\u002F0009-0000-3967-2080",{"name":167,"orcid":9},"Zhengtao Chen",{"name":169,"orcid":9},"Mi Tan",{"name":171,"orcid":172},"Jianxu Liu","https:\u002F\u002Forcid.org\u002F0000-0002-2128-6015",{"tldr":174,"method":175,"finding":176,"direction":134,"opportunity":177},"评估农业社会化服务试点如何跨行政区推动粮食种植结构转型。","2006-2022年30省面板，多期DID与空间杜宾模型。","试点使粮食播种面积占比提高2.8个百分点，以小麦为主，溢出效应约为直接效应的1.8倍。","可研究社会化服务跨区溢出的空间机制，及机械化适配性对作物多样性与粮食安全协同的影响。","2026-09-24T23:30:07.111992Z",{"id":180,"title":181,"url":182,"summary":183,"summary_zh":9,"content":9,"source_name":184,"source_url":9,"published_at":185,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":142,"score_detail":186,"sources":189,"tags":191,"search_phrases":195,"slug":198,"view_count":35,"doi":9,"paper":199,"created_at":206},3320,"人工智能对农业新质生产力的驱动机制与效应——基于278个地级市面板数据（2010—2024）","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F165477.html","《农业经济与管理》2026年第03期。钟文、郑林泽、严芝清（江西理工大学）研究表明：人工智能技术创新对农业新质生产力具有显著直接提升效应。机制检验表明，人工智能主要通过强化农业科技创新能力、激发农村地区创业活力、深化农业生产数字化水平三条核心路径驱动农业新质生产力发展。异质性分析表明，人工智能的促进作用具有普遍性但存在显著梯度差异，受区域资源禀赋、发展阶段及农业生产模式多样性深刻影响。空间计量检验进一步发现，人工智能技术创新存在显著正向空间溢出效应，但农村人力资本水平构成关键调节变量，其不足将显著制约溢出效能的有效释放。","《农业经济与管理》2026年第03期","2026-09-17T00:00:00Z",{"impact":18,"substance":108,"depth":187,"authority":78,"freshness":20,"relevant":21,"comment":188},19,"基于278个地级市面板数据的实证研究，方法规范、结论有新意，对农业AI政策制定具参考价值，值得进入每日精选。",[190],{"name":184,"url":182},[192,193,113,30,194],"农业人工智能","农业新质生产力","农村创业",[196,197],"人工智能 农业新质生产力 地级市面板","农业新质生产力 农业人工智能 空间溢出效应 农业数字化","人工智能农业新质生产力地级市面板-3320",{"doi":9,"openalex_id":9,"authors":200,"venue":9,"cited_by_count":35,"oa_url":9,"card":201,"direction":134,"ingested_from":97},[],{"tldr":202,"method":203,"finding":204,"direction":134,"opportunity":205},"基于278个地级市面板数据，实证检验人工智能对农业新质生产力的驱动机制与空间溢出效应。","278个地级市2010—2024年面板数据，机制检验、异质性分析与空间计量模型。","人工智能显著直接提升农业新质生产力，经三条路径驱动，并具正向空间溢出，但受农村人力资本调节制约。","可深入探究农村人力资本门槛下AI空间溢出的非线性衰减机制及跨区域协同提升路径。","2026-09-24T00:04:02.275354Z",{"id":208,"title":209,"url":210,"summary":211,"summary_zh":212,"content":9,"source_name":213,"source_url":210,"published_at":214,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":215,"sources":217,"tags":219,"search_phrases":224,"slug":227,"view_count":35,"doi":228,"paper":229,"created_at":245},3192,"Turning Livestock Waste into Nutrient Resources: Advances in Crop–Livestock Circular Agriculture for Sustainable Farming Systems","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagriculture16182033","The increasing specialization of crop and livestock production has disrupted traditional nutrient cycling in agricultural systems, creating a dual challenge of excessive dependence on synthetic fertilizers and inefficient utilization of livestock manure. Crop–livestock circular agriculture offers a promising pathway to address these interconnected problems by recoupling animal production, manure management, and crop cultivation within an integrated nutrient-recycling framework. This review critically synthesizes recent advances in crop–livestock circular agriculture, with particular emphasis on manure valorization, nutrient recovery and reuse, enabling treatment technologies, crop–livestock nutrient matching, and regionally adapted implementation models. Current evidence demonstrates that appropriately managed manure recycling can partially substitute synthetic fertilizers, improve soil fertility and structure, enhance nutrient-use efficiency, and reduce nutrient losses and associated environmental pressures. Technologies including solid–liquid separation, aerobic composting, anaerobic digestion, and emerging resource-recovery approaches further expand the potential for converting livestock waste into fertilizers, energy, and other value-added agricultural inputs. However, the environmental and agronomic benefits of these systems depend strongly on balancing manure-derived nutrient supply with crop demand and local land carrying capacity. This requirement is particularly important in the hilly agricultural regions of Southwest China, where fragmented farmland, dispersed livestock production, complex terrain, and high transportation costs constrain the direct adoption of large-scale centralized models. Locally adapted strategies integrating decentralized manure treatment, nearby land application, and coordinated regional nutrient allocation may therefore provide more practical solutions. Despite substantial progress, broader implementation remains limited by spatial mismatches between manure production and cropland demand, insufficient technological adaptation, economic constraints, and a lack of long-term system-level assessments. Future research should move beyond individual waste-treatment technologies toward integrated crop–livestock management that combines nutrient budgeting, precision manure application, resource recovery, digital decision support, and region-specific governance. Such advances are essential for transforming livestock manure from an environmental liability into a strategic nutrient resource and for accelerating the transition toward resource-efficient, low-impact, and resilient agricultural systems.","作物与畜牧生产的日益专业化打破了农业系统中传统的养分循环，造成了过度依赖合成肥料与畜禽粪污利用效率低下的双重挑战。农牧循环农业通过在一体化养分循环框架内重新耦合动物生产、粪污管理与作物种植，为解决这些相互关联的问题提供了有前景的路径。本综述批判性地综合了农牧循环农业的最新进展，重点关注粪污资源化、养分回收与再利用、使能处理技术、农牧养分匹配以及区域适应性实施模式。现有证据表明，合理管理的粪污循环利用可以部分替代合成肥料，改善土壤肥力与结构，提高养分利用效率，并减少养分损失及相关环境压力。固液分离、好氧堆肥、厌氧消化以及新兴的资源回收方法等技术，进一步拓展了将畜禽废弃物转化为肥料、能源及其他增值农业投入品的潜力。然而，这些系统的环境和农艺效益在很大程度上取决于粪源养分供给与作物需求及当地土地承载能力之间的平衡。这一要求在中国西南丘陵农业区尤为重要，该地区耕地破碎、畜牧生产分散、地形复杂、运输成本高，制约了大规模集中化模式的直接采用。因此，整合分散式粪污处理、就近还田与区域养分协调配置的本地化适应策略可能提供更切实可行的解决方案。尽管已取得实质性进展，更广泛的实施仍受限于粪污产生与农田需求之间的空间错配、技术适应性不足、经济约束以及缺乏长期系统层面的评估。未来研究应超越单一的废弃物处理技术，转向综合农牧管理，将养分预算、精准粪污施用、资源回收、数字化决策支持与因地制宜的治理相结合。这些进展对于将畜禽粪污从环境负担转化为有价值资源至关重要。","Agriculture","2026-09-21T00:00:00Z",{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":216},"系统综述种养循环农业的粪污增值与养分匹配技术，并提出西南丘陵地区适配模式，学术价值与产业参考性兼具。",[218],{"name":213,"url":210},[26,220,221,222,223],"循环农业","养分循环","畜禽粪污资源化","种养结合",[225,226],"种养循环农业 粪污资源化","西南丘陵 畜禽粪污 养分匹配","种养循环农业粪污资源化-3192","10.3390\u002Fagriculture16182033",{"doi":228,"openalex_id":230,"authors":231,"venue":213,"cited_by_count":35,"oa_url":210,"card":240,"direction":134,"ingested_from":62},"W7213872058",[232,235,238],{"name":233,"orcid":234},"Bing Xiang","https:\u002F\u002Forcid.org\u002F0000-0001-6534-7476",{"name":236,"orcid":237},"Jialin Xiao","https:\u002F\u002Forcid.org\u002F0000-0003-1433-5437",{"name":239,"orcid":9},"Lin Bai",{"tldr":241,"method":242,"finding":243,"direction":60,"opportunity":244},"综述种养循环农业中粪污资源化、养分回收与区域适配模式的研究进展。","文献综述，聚焦粪污增值、养分匹配及西南丘陵区案例。","粪污循环可部分替代化肥并提升养分效率，但受空间错配与区域条件制约。","面向丘陵山区，研发分散式粪污处理与数字化养分匹配决策支持系统。","2026-09-22T23:30:32.065619Z",{"id":247,"title":248,"url":249,"summary":250,"summary_zh":251,"content":9,"source_name":252,"source_url":249,"published_at":253,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":254,"score_detail":255,"sources":257,"tags":259,"search_phrases":264,"slug":267,"view_count":35,"doi":268,"paper":269,"created_at":293},3012,"Topographic and economic drivers of agricultural–ecological coupling in Gansu Province: spatial differentiation and threshold effects","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolind.2026.115463","Improved understanding of agricultural–ecological coupling is critical for sustainable development in semi-arid regions. This study integrated the Remote Sensing Ecological Index (RSEI), Agricultural Green Development Index (AGDI), Coupling Coordination Degree (CCD) model, and XGBoost–SHAP to examine the spatiotemporal evolution and nonlinear drivers of agricultural–ecological coupling in Gansu Province from 2010 to 2023 at the county scale. A four-quadrant framework was applied to identify differentiated management types. Results showed that farmland ecological quality exhibited a stepped north–south pattern, improving during 2010–2018 but declining after 2019. Agricultural green development displayed a “high southeast, low northwest” pattern, increasing by 0.0036 yr −1 ( p \u003C 0.01). The coupling coordination degree increased from 0.57 to 0.63, with significant spatial clustering (Moran's I = 0.438–0.528, p \u003C 0.001), characterized by stable “high–high” clusters in southern Gansu and “low–low” clusters in northern Gansu. Relief amplitude (40.9%) and GDP per capita (36.1%) jointly explained 77.0% of coordination variation. Elevation above 2000 m constrained coordination, whereas GDP per capita between 15,000 and 30,000 CNY promoted green transformation, with diminishing effects beyond 40,000 CNY. Severe drought conditions (SPEI \u003C −1.5) caused agricultural–ecological imbalance. Counties were classified into four management types (H H, L–H, L–L, and H–L), requiring differentiated governance strategies. This study provides quantifiable thresholds for improving agricultural–ecological coupling in semi-arid regions.","深入理解农业—生态耦合关系对于半干旱地区的可持续发展至关重要。本研究集成遥感生态指数（RSEI）、农业绿色发展指数（AGDI）、耦合协调度（CCD）模型以及XGBoost–SHAP方法，在县域尺度上考察了2010—2023年甘肃省农业—生态耦合的时空演变与非线性驱动因素，并运用四象限框架识别差异化治理类型。结果表明：耕地生态质量呈南北阶梯状格局，2010—2018年持续改善，2019年后有所下降。农业绿色发展呈“东南高、西北低”的格局，年均增长0.0036（p \u003C 0.01）。耦合协调度由0.57升至0.63，具有显著空间集聚特征（Moran's I = 0.438–0.528，p \u003C 0.001），表现为陇南稳定的“高—高”集聚和陇北的“低—低”集聚。地形起伏度（40.9%）与人均GDP（36.1%）共同解释了77.0%的协调度变异。海拔2000 m以上对协调度形成约束，人均GDP在15000～30000元之间促进绿色转型，超过40000元后效应递减。严重干旱条件（SPEI \u003C −1.5）导致农业—生态失衡。各县域被划分为四种管理类型（H–H、L–H、L–L和H–L），需采取差异化治理策略。本研究为半干旱地区提升农业—生态耦合水平提供了可量化的阈值依据。","Ecological Indicators","2026-09-19T00:00:00Z",81,{"impact":17,"substance":18,"depth":17,"authority":78,"freshness":144,"relevant":21,"comment":256},"基于RSEI、AGDI与XGBoost-SHAP的县域尺度农业生态耦合研究，方法新颖、阈值结论可量化，对半干旱区差异化治理有参考价值。",[258],{"name":252,"url":249},[26,260,261,262,263],"遥感监测","甘肃农业","农业生态耦合","县域治理",[265,266],"甘肃 农业生态耦合 遥感","RSEI AGDI 耦合协调度","甘肃农业生态耦合遥感-3012","10.1016\u002Fj.ecolind.2026.115463",{"doi":268,"openalex_id":270,"authors":271,"venue":252,"cited_by_count":35,"oa_url":249,"card":287,"direction":291,"ingested_from":62},"W7213602184",[272,274,277,279,282,284],{"name":273,"orcid":9},"Baopeng Xie",{"name":275,"orcid":276},"Yongqiang Wang","https:\u002F\u002Forcid.org\u002F0009-0009-5289-2403",{"name":278,"orcid":9},"Ying Chen",{"name":280,"orcid":281},"Tingting Pei","https:\u002F\u002Forcid.org\u002F0000-0002-2789-4919",{"name":283,"orcid":9},"Wen Wang",{"name":285,"orcid":286},"Jinlong Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-1161-5460",{"tldr":288,"method":289,"finding":290,"direction":291,"opportunity":292},"基于县域遥感与统计指标，揭示甘肃农业-生态耦合的时空分异及地形经济阈值。","RSEI、AGDI、耦合协调度模型与XGBoost-SHAP，2010–2023","地形起伏与人均GDP解释77%耦合差异，海拔2000米以上及严重干旱抑制协调。","农业遥感与作物表型","可探索多尺度耦合阈值与干旱预警结合，构建差异化治理的智能决策支持系统。","2026-09-20T23:30:21.067452Z"]