[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3056":3,"related-3056":95},{"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":9,"secondary_topics":31,"classification":32,"search_phrases":67,"slug":70,"view_count":71,"doi":72,"paper":73,"created_at":94},3056,"Agricultural geographical indication certification and county cropland area in China: evidence from a multi-period difference-in-differences analysis","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1954068","Agricultural geographical indication (AGI) certification is promoted as a market-based instrument for place-based food systems, yet whether it protects the agricultural land base remains contested. Because county cropland area is the quantity on which grain production capacity is calculated, whether certification changes that quantity is a first-order policy question. This study estimates the effect of a county’s first AGI certification on cropland area using a panel of Chinese counties, remotely sensed land-cover data, and a multi-period difference-in-differences design. The outcome measures current cropland area relative to a county-specific historical average and therefore captures land-cover quantity rather than land quality. Because certification is granted in different years across counties, a heterogeneity-robust group-time estimator serves as the primary specification and conventional two-way fixed effects provide the benchmark. The benchmark model returns a positive and significant association, whereas the group-time estimator returns a positive but statistically imprecise average effect. A decomposition shows that most of the benchmark coefficient rests on comparisons between counties certified in different years. Excluding the earliest certified cohort leaves the average effect unchanged and reveals a positive dynamic response that emerges only after several years. Agricultural labor productivity transmits a small share of the association, whereas agricultural service output intensity is not robust once the sample is held constant. The choice of estimand therefore determines whether certification appears to protect cropland.","农业地理标志（AGI）认证被推广为一种面向地方食物体系的基于市场的工具，但其能否保护农业用地基础仍存争议。由于县域耕地面积是计算粮食生产能力所依据的数量，认证是否改变这一数量是一个首要的政策问题。本研究利用中国县域面板数据、遥感土地覆盖数据和多期双重差分设计，估计一个县首次获得AGI认证对耕地面积的影响。结果变量衡量的是当前耕地面积相对于该县特定历史平均水平的比值，因此捕捉的是土地覆盖数量而非土地质量。由于各县获得认证的年份不同，异质性稳健的组别—时期估计量作为主要设定，传统双向固定效应作为基准。基准模型返回正向且显著的关联，而组别—时期估计量返回正向但统计上不精确的平均效应。分解表明，基准系数主要依赖于不同年份获得认证的县之间的比较。排除最早获得认证的队列后，平均效应保持不变，并揭示出一种仅在数年后才出现的正向动态响应。农业劳动生产率传递了该关联的一小部分，而一旦样本保持不变，农业服务产出强度便不再稳健。因此，估计量的选择决定了认证是否看起来保护了耕地。",null,"Frontiers in Sustainable Food Systems","2026-09-20T00:00:00Z","论文",10,false,80,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,13,9,1,"基于遥感与多期双重差分的县域实证研究，方法规范、结论对地理标志与耕地保护政策有参考价值，但属学术论文、影响面偏细分领域。",[24],{"name":10,"url":6},[26,27,28,29,30],"乡村振兴","地理标志","耕地保护","遥感监测","粮食产能",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":41,"reason":66},[38,45,51,56,61],{"code":39,"score":40,"supported":41,"title":42,"abstract":43,"tags":44},"E5",4,true,[],[27],[27],{"code":46,"score":40,"supported":41,"title":47,"abstract":48,"tags":50},"I3",[],[49],"遥感",[29],{"code":52,"score":21,"supported":14,"title":53,"abstract":54,"tags":55},"A8",[],[],[30],{"code":57,"score":21,"supported":14,"title":58,"abstract":59,"tags":60},"G",[],[],[26],{"code":62,"score":21,"supported":14,"title":63,"abstract":64,"tags":65},"H1",[],[],[28],"多个产业证据相当，需要确认主归属",[68,69],"农业地理标志 耕地面积","多期双重差分 耕地","农业地理标志耕地面积-3056",3,"10.3389\u002Ffsufs.2026.1954068",{"doi":72,"openalex_id":74,"authors":75,"venue":10,"cited_by_count":86,"oa_url":6,"card":87,"direction":91,"ingested_from":93},"W7213780571",[76,79,81,83],{"name":77,"orcid":78},"Ruofan Liao","https:\u002F\u002Forcid.org\u002F0009-0009-5058-7368",{"name":80,"orcid":9},"Qingqing Fan",{"name":82,"orcid":9},"Mi Tan",{"name":84,"orcid":85},"Jianxu Liu","https:\u002F\u002Forcid.org\u002F0000-0002-2128-6015",0,{"tldr":88,"method":89,"finding":90,"direction":91,"opportunity":92},"用多期双重差分法估计中国县域首次获农产品地理标志认证对耕地面积的影响。","中国县域面板、遥感土地覆盖数据、多期DID与异质性稳健组时估计量。","基准模型显示正向显著关联，但组时估计量不精确，效应主要来自不同认证年份县间比较。","数字乡村与农业信息化","可结合遥感与因果推断，检验地理标志认证对耕地保护、农业服务与劳动力生产率的长期动态机制。","openalex","2026-09-21T23:30:07.723086Z",{"total":96,"page":21,"page_size":96,"items":97},6,[98,183,245,308,356,435],{"id":99,"title":100,"url":101,"summary":102,"summary_zh":103,"content":9,"source_name":104,"source_url":101,"published_at":105,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":106,"score_detail":107,"sources":111,"tags":113,"primary_topic":117,"secondary_topics":123,"classification":124,"search_phrases":162,"slug":165,"view_count":21,"doi":166,"paper":167,"created_at":182},5005,"Geospatial Dynamics of Urban Sprawl and Agricultural Land Loss in the Faiyum, Egypt: Scenario Modeling for Sustainable Land Management","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010459","Rapid and uncontrolled urban growth poses a severe threat to arable agricultural oases by jeopardizing vital ecosystem services and regional food security. This study investigates the spatiotemporal dynamics of urban sprawl over a 16-year period (2007–2023) in Faiyum City (Egypt), an ancient oasis surrounded by prime agricultural soils, and projects future spatial trends under unconstrained development scenarios. Utilizing high-resolution multi-temporal satellite imagery integrated with Remote Sensing (RS) and Geographic Information Systems (GIS) techniques, built-up area expansion was quantitatively measured, sectoral decomposition shows expansion on every flank of the historic core but at markedly uneven rates, converting between 13.8% and 55.7% of the land available in each direction and an area-based growth model was applied to simulate short- and long-term land transformation trends. Empirical findings reveal that between 2007 and 2023 the urban built-up area expanded by 55.7%, from 861.7 ha to 1341.6 ha, at an average annual compound growth rate of 2.8%, raising its share of the enclosed study area from 37.7% to 58.6%. Sampling of the converted area shows that 80.6% of it had been agricultural land at the baseline date, giving 386.9 ha of farmland lost over the period. The projections indicate that, without intervention, built-up cover would occupy 67.3% of the 2287 ha enclosed by the Ring Road by 2028 and 77.3% by 2033, leaving 518.7 ha of the unbuilt land that remained in 2023. This trajectory bears directly on SDG 11 and SDG 15 targets. Containment instruments such as binding Urban Growth Boundaries and compact infill policies are discussed as directions indicated by the spatial evidence, although their feasibility, cost and enforcement requirements lie outside the scope of this analysis.","快速且不受控制的城市增长对赖以维持关键生态系统服务和区域粮食安全的农业绿洲构成了严重威胁。本研究考察了埃及法尤姆城（Faiyum City）——一座被优质农业土壤环绕的古老绿洲——在16年期间（2007–2023年）城市蔓延的时空动态，并预测了无约束开发情景下的未来空间趋势。利用高分辨率多时相卫星影像，结合遥感（RS）与地理信息系统（GIS）技术，对建成区扩张进行了定量测度，部门分解显示历史核心区各方向均发生扩张，但速率明显不均，各方向所转化土地占可用土地的比例在13.8%至55.7%之间；同时应用基于面积的增长模型模拟了短期和长期土地转化趋势。实证结果表明，2007年至2023年间，城市建成区面积扩张了55.7%，从861.7公顷增至1341.6公顷，年均复合增长率为2.8%，使其在封闭研究区内的占比从37.7%升至58.6%。对转化区域的抽样显示，其中80.6%在基准日期为农业用地，即该期间损失农田386.9公顷。预测表明，若无干预，到2028年建成区将占环路所围2287公顷的67.3%，到2033年将占77.3%，仅余2023年尚存的518.7公顷未建设用地。这一轨迹直接关系到可持续发展目标11（SDG 11）和目标15（SDG 15）。空间证据所指示的方向包括具有约束力的城市增长边界和紧凑型填充式政策等遏制工具，但其可行性、成本及执行要求不在本分析范围之内。","Sustainability","2026-10-14T00:00:00Z",75,{"impact":108,"substance":18,"depth":17,"authority":109,"freshness":20,"relevant":21,"comment":110},12,14,"基于16年遥感与GIS数据量化埃及法尤姆绿洲城市扩张导致的农地流失并模拟未来情景，方法扎实、数据具体，对耕地保护与可持续土地管理有参考价值，但属区域案例研究，公共影响层级有限。",[112],{"name":104,"url":101},[114,28,29,115,116],"粮食安全","城市扩张","可持续土地管理",{"code":118,"slug":119,"name":120,"path":121,"parent_code":122},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[],{"status":125,"locked":14,"version":34,"method":35,"evidence":126},"classified",{"candidates":127,"agricultural_evidence":41},[128,135,141,146,152,158],{"code":118,"score":20,"supported":41,"title":129,"abstract":130,"tags":134},[],[131,132,133],"地理信息","GIS","geographic information",[],{"code":52,"score":136,"supported":41,"title":137,"abstract":138,"tags":140},7,[],[114,139],"food security",[114],{"code":46,"score":136,"supported":41,"title":142,"abstract":143,"tags":145},[],[49,144],"remote sensing",[29],{"code":147,"score":71,"supported":41,"title":148,"abstract":149,"tags":151},"H2",[],[150],"土壤",[],{"code":153,"score":71,"supported":41,"title":154,"abstract":155,"tags":157},"H6",[],[156],"生态系统服务",[],{"code":62,"score":21,"supported":14,"title":159,"abstract":160,"tags":161},[],[],[28],[163,164],"Faiyum 城市扩张 农地流失","遥感 GIS 耕地损失 埃及","Faiyum城市扩张农地流失-5005","10.3390\u002Fsu182010459",{"doi":166,"openalex_id":168,"authors":169,"venue":104,"cited_by_count":86,"oa_url":101,"card":176,"direction":180,"ingested_from":93},"W7221785333",[170,173],{"name":171,"orcid":172},"Mahmut Dingil","https:\u002F\u002Forcid.org\u002F0000-0002-4901-7554",{"name":174,"orcid":175},"Levent Atatanır","https:\u002F\u002Forcid.org\u002F0000-0001-5638-6676",{"tldr":177,"method":178,"finding":179,"direction":180,"opportunity":181},"基于遥感与GIS分析埃及法尤姆市2007-2023年城市扩张，并模拟未来农地流失情景。","多时相高分辨率卫星影像、RS\u002FGIS空间分析、面积增长模型情景模拟。","建成区16年增55.7%，80.6%来自农地，2033年将占环城路内77.3%。","农业遥感与作物表型","可结合城市增长边界与紧凑填充政策，量化农地保护情景下的粮食安全与生态服务权衡。","2026-10-15T23:30:29.550250Z",{"id":184,"title":185,"url":186,"summary":187,"summary_zh":9,"content":9,"source_name":188,"source_url":9,"published_at":189,"category":190,"cover_url":9,"hotness":13,"is_selected":41,"score":191,"score_detail":192,"sources":196,"tags":198,"primary_topic":9,"secondary_topics":201,"classification":202,"search_phrases":240,"slug":243,"view_count":21,"doi":9,"paper":9,"created_at":244},4838,"新修订的农业法开启'三农'法治建设新篇章","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F10\u002F13\u002F991030629.html","新修订的农业法对粮食安全、乡村振兴、耕地保护、绿色发展和农民增收等核心领域作出系统部署。明确提出推进乡村全面振兴、加快建设农业强国,坚持党对'三农'工作的全面领导,统筹发展科技农业、绿色农业、质量农业、品牌农业。支持智慧农业发展,鼓励物联网、人工智能等新技术与农业生产、经营、管理相融合,为农业科技创新扫清制度障碍。实行最严格的耕地保护制度,将大农业观、大食物观写入法律。","中国农网 农民日报 2026 年 10 月 13 日","2026-10-13T00:00:00Z","政策",92,{"impact":193,"substance":194,"depth":17,"authority":109,"freshness":20,"relevant":21,"comment":195},28,23,"全国性法律修订，条款细节扎实且明确支持智慧农业与AI融合，权威央媒首发，时效性强，值得进入每日精选。",[197],{"name":188,"url":186},[199,26,114,28,200],"智慧农业","农业法修订",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":203},{"candidates":204,"agricultural_evidence":41,"reason":66},[205,209,213,217,222,228,234],{"code":52,"score":40,"supported":41,"title":206,"abstract":207,"tags":208},[],[114],[114],{"code":57,"score":40,"supported":41,"title":210,"abstract":211,"tags":212},[],[26],[26],{"code":62,"score":40,"supported":41,"title":214,"abstract":215,"tags":216},[],[28],[28],{"code":218,"score":40,"supported":41,"title":219,"abstract":220,"tags":221},"I1",[],[199],[199],{"code":223,"score":71,"supported":41,"title":224,"abstract":225,"tags":227},"G6",[],[226],"农民增收",[],{"code":229,"score":71,"supported":41,"title":230,"abstract":231,"tags":233},"I5",[],[232],"物联网",[],{"code":235,"score":71,"supported":41,"title":236,"abstract":237,"tags":239},"J2",[],[238],"农业强国",[],[241,242],"农业法 修订 法治","农业法 智慧农业 物联网","农业法修订法治-4838","2026-10-14T00:04:01.960161Z",{"id":246,"title":247,"url":248,"summary":249,"summary_zh":250,"content":9,"source_name":10,"source_url":248,"published_at":251,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":252,"score_detail":253,"sources":256,"tags":258,"primary_topic":262,"secondary_topics":267,"classification":268,"search_phrases":290,"slug":293,"view_count":21,"doi":294,"paper":295,"created_at":307},4793,"Geographical indication adoption and county employment dynamics in China: stacked DID evidence on rural-urban and regional heterogeneity","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1967743","Geographical indications (GIs) are widely promoted as place-based institutions that can strengthen rural economies. Yet existing evidence is mixed on whether GI benefits translate into broad-based local employment gains, and whether impacts differ across regions with unequal market access and factor mobility. Using a county-year panel for China spanning 2000–2023 and three overlapping GI channels (protected products, agricultural GI registration, and trademark registration), we estimate dynamic employment responses to GI adoption with stacked difference-in-differences designs that address staggered treatment timing. Rural employment rates rise following GI adoption and remain higher several years after designation, whereas urban employment effects are smaller and more heterogeneous. Macro-regional analyses indicate that rural gains are concentrated in Western China, while Central China exhibits weak or negative rural responses at longer horizons. For urban employment, estimates are imprecise in the East and Central regions and turn negative in the West at 5-year horizons. Province-level results reinforce substantial heterogeneity but are sensitive to treated support and inference limitations. The findings clarify when and where GIs function as effective rural development instruments and motivate more place-sensitive GI governance that complements certification with market access, processing capacity, and local labor demand.","地理标志（geographical indications, GIs）被广泛推崇为能够增强农村经济的地方性制度。然而，现有证据对于地理标志收益能否转化为广泛的本地就业增长，以及其影响在不同市场准入和要素流动性不均的地区之间是否存在差异，仍莫衷一是。本文使用涵盖2000—2023年中国县级面板数据以及三个相互重叠的地理标志渠道（受保护产品、农产品地理标志登记和商标注册），通过堆叠双重差分设计解决处理时间交错问题，估计地理标志采纳的动态就业响应。地理标志采纳后，农村就业率上升，且在认定数年后仍保持较高水平，而城镇就业效应较小且更具异质性。宏观区域分析表明，农村收益集中在中国西部，而中部地区在较长时期内的农村响应较弱甚至为负。对于城镇就业，东部和中部地区的估计不精确，西部地区在5年期限上转为负值。省级层面的结果印证了显著的异质性，但对处理组支持情况和推断局限性较为敏感。本文的发现厘清了地理标志在何时、何地能够作为有效的农村发展工具发挥作用，并推动更具地方敏感性的地理标志治理，将认证与市场准入、加工能力和本地劳动力需求相配套。","2026-10-12T00:00:00Z",81,{"impact":17,"substance":18,"depth":254,"authority":19,"freshness":20,"relevant":21,"comment":255},19,"基于2000—2023年县域面板与堆叠DID方法，揭示地理标志对农村就业的异质性影响，方法扎实、结论有政策参考价值，但属学术论文而非即时资讯。",[257],{"name":10,"url":248},[26,259,27,260,261],"县域经济","区域差异","农村就业",{"code":39,"slug":263,"name":264,"path":265,"parent_code":266},"branding-commerce","品牌流通与电商","\u002Ftopic\u002Ffood-supply\u002Fbranding-commerce","E",[],{"status":125,"locked":14,"version":34,"method":35,"evidence":269},{"candidates":270,"agricultural_evidence":41},[271,277,281,285],{"code":57,"score":136,"supported":41,"title":272,"abstract":273,"tags":276},[],[274,275],"农村发展","rural development",[26],{"code":39,"score":40,"supported":41,"title":278,"abstract":279,"tags":280},[],[27],[27],{"code":118,"score":71,"supported":41,"title":282,"abstract":283,"tags":284},[],[132],[],{"code":286,"score":21,"supported":14,"title":287,"abstract":288,"tags":289},"G4",[],[],[259],[291,292],"地理标志 县域就业 中国","乡村振兴 农村就业 区域差异 县域经济","地理标志县域就业中国-4793","10.3389\u002Ffsufs.2026.1967743",{"doi":294,"openalex_id":296,"authors":297,"venue":10,"cited_by_count":86,"oa_url":248,"card":302,"direction":91,"ingested_from":93},"W7221548155",[298,300],{"name":299,"orcid":9},"Yingju Zhang",{"name":301,"orcid":9},"Jumin Zhao",{"tldr":303,"method":304,"finding":305,"direction":91,"opportunity":306},"用堆叠DID评估中国地理标志采纳对县域城乡就业的动态影响及区域异质性。","2000-2023年县域面板数据，三种GI渠道，堆叠双重差分法。","GI采纳后农村就业率上升且持续，城市效应较小；西部农村增益集中，中部长期偏弱。","可探究GI与数字市场接入、加工能力协同如何放大农村就业效应，并关注中部负向机制。","2026-10-13T23:30:06.923434Z",{"id":309,"title":310,"url":311,"summary":312,"summary_zh":9,"content":313,"source_name":314,"source_url":9,"published_at":315,"category":316,"cover_url":9,"hotness":13,"is_selected":14,"score":252,"score_detail":317,"sources":321,"tags":323,"primary_topic":328,"secondary_topics":333,"classification":334,"search_phrases":351,"slug":354,"view_count":86,"doi":9,"paper":9,"created_at":355},4613,"重庆445万块耕地实现赋码管理:45项信息一图统揽、一码查地","https:\u002F\u002Fnyncw.cq.gov.cn\u002Fzwxx_161\u002Fzwdt\u002F202610\u002Ft20261009_16204300.html","重庆市依托巴渝良田应用系统,整合农业农村、自然资源、水利、林业等部门123个图层数据,将全市445万块耕地纳入农地一张图,每块地赋唯一编码、关联地类、质量、坡度、权属、高标准农田建设情况等45项信息。AI识别+无人机巡查可半小时巡完上千亩耕地、秒级预警隐蔽问题;建设资金专户管理与预算一体化平台互联互通,实现资金流、项目流、业务流三流贯通全程可追溯。","本报讯  10月8日，记者从市农业农村委获悉，我市依托“巴渝良田”应用系统，全市445万块耕地实现“赋码管理”，通过整合123个图层数据，构建起“农地一张图”，实现地类、质量、坡度等45项信息“一图统揽、一码查地”。\n\n10月8日，在垫江县桂东街道龙田村，种粮大户李伦明站在田埂上，掏出手机对着高标准农田建设项目标识牌上的二维码轻轻一扫，屏幕上立刻弹出地块信息：面积326亩，坡度小于15度，土壤类型为紫色土，属于2025年高标准农田改造提升项目区，施工单位、监理单位、建设工期清清楚楚。“有了这个‘电子身份证’，哪块地什么情况，一目了然。”李伦明说。\n\n李伦明口中的“电子身份证”，正是我市全面启动的“巴渝良田”应用系统。该系统通过整合农业农村、自然资源、水利、林业等部门的123个图层数据，将全市445万块耕地纳入“农地一张图”，每块地都被赋予唯一编码，关联地类、质量、坡度、权属、高标准农田建设情况等45项信息。管理人员和群众扫码即可查地，彻底告别了过去翻图纸、跑现场、层层问询的传统模式。\n\n垫江县农业农村委工作人员王强打开“巴渝良田”系统，轻点鼠标，一架无人机沿着预设航线对在建的高标准农田项目进行空中巡查。高清画面实时回传，AI很快识别出某处沟渠铺设厚度不达标。系统立即生成整改工单，同步推送给施工方、监理方和项目负责人。“以前发现这种隐蔽问题，得靠人下到田里一处处量，现在‘空中慧眼’半小时就能巡完上千亩耕地，问题秒级预警、闭环整改。”王强说。\n\n除了“管地”，数字监管还“管钱”。我市将所有高标准农田项目建设资金纳入专户管理，依托“巴渝良田”系统与预算管理一体化平台互联互通，让资金流、项目流、业务流“三流贯通”，每一笔资金拥有唯一“身份证号”，实现全程可追溯、可核验。","重庆市农业农村委员会 2026-10-09","2026-10-09T00:00:00Z","报道",{"impact":18,"substance":18,"depth":318,"authority":108,"freshness":319,"relevant":21,"comment":320},17,8,"省级耕地数字化管理落地案例，445万块耕地赋码、123图层整合与AI无人机巡查等细节扎实，具备主题聚合与检索价值。",[322],{"name":314,"url":311},[324,325,28,29,326,327],"数字乡村","高标准农田","农地一张图","赋码管理",{"code":62,"slug":329,"name":330,"path":331,"parent_code":332},"farmland","耕地保护与高标准农田","\u002Ftopic\u002Fenvironment\u002Ffarmland","H",[],{"status":125,"locked":14,"version":34,"method":35,"evidence":335},{"candidates":336,"agricultural_evidence":41},[337,342,346],{"code":62,"score":319,"supported":41,"title":338,"abstract":339,"tags":341},[],[325,340],"农田建设",[28,325],{"code":46,"score":21,"supported":14,"title":343,"abstract":344,"tags":345},[],[],[29],{"code":347,"score":21,"supported":14,"title":348,"abstract":349,"tags":350},"I6",[],[],[324],[352,353],"重庆 巴渝良田 赋码管理","重庆 高标准农田 一码查地","重庆巴渝良田赋码管理-4613","2026-10-11T00:09:35.623381Z",{"id":357,"title":358,"url":359,"summary":360,"summary_zh":361,"content":9,"source_name":362,"source_url":359,"published_at":363,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":364,"score_detail":365,"sources":367,"tags":369,"primary_topic":373,"secondary_topics":378,"classification":384,"search_phrases":411,"slug":414,"view_count":21,"doi":415,"paper":416,"created_at":434},4527,"Socio‐Economic Impact of Sustainable Development of Water Resources in the Semi‐Arid Regions of Village Raleras, Maharashtra: A Case Study Using Machine Learning Techniques","https:\u002F\u002Fdoi.org\u002F10.1111\u002F1477-8947.70100","ABSTRACT From a socio‐economic perspective, it is of interest to find out whether sustainable water resources can truly sustain rural livelihoods. Based on historical research, it is known that an improvement on resilient economic indicators such as ground water is often correlated with socio‐economic improvements and other aspects of rural livelihoods. The extent of factors affecting livelihood sustenance and improvement in the village of Raleras, Maharashtra, aids in creating a definite understanding of the facets correlating with groundwater restoration. Subsistence channels, arising as an outcome of the created impoundment structures, are tested for their impact on income gains and livelihood improvement. Examination on collected opinion was carried out to provide insights into the ‘before’ and ‘after’ (2015–2023) conditions. A five‐capitals framework has been employed for the interpretation of these results, along with a multivariate analysis to predict a causal framework for the improvement of livelihoods in agrarian economies through creation of check dams and watershed management. Time series study shows that there is greater variance in the NDVI progressively from 2021 to 2023 with values ranging from 0.25 to 0.50 in 2015, to 0.50–0.75 by 2021. Further increase in green patches in 2023 indicates enhanced vegetation health especially in the northern regions. Alternately, NDWI values elaborate initial severe water stress (−0.25 to 0.00) with progressive improvements in localized areas. The spatial variation map shows that eventually there is a notable improvement with more land supporting shrubbery along with more water bodies. The prominent increase in vegetation particularly in the later years can be attributed to water management initiatives undertaken in Raleras. The distributions of the annual average revenue from agricultural operations in 2015 (M = 146,907, SD = 95445.8) and 2023 (M = 706860.5, SD = 655748.3) showed a statistically significant improvement [ t (214) = 13.06, p \u003C 0.001]. The low p ‐value of 0.001205 ( p \u003C 0.05) of the educational facilities utilised indicates a statistically significant result, proving the association between educational quality and improved water facilities. All of the variables under evaluation, including the respondents' vehicle type, landholding type, and house type, have large and positive chi‐squared values, suggesting that the ‘before’ and ‘after’ distributions for each of these variables differ. Principal Component Analysis is used to summarise correlated livelihood indicators and reveals that income growth and livelihood improvement is multi‐dimensional. Multiple pathways to income change are identified through Partial Least Squares Regression, including agriculture and market‐linked channels. A Random Forest Regression Model is utilised to assess the relative importance of livelihood channels and baseline characteristics. Results indicate that improvement in irrigation access, crop diversification, housing quality, livestock ownership and female literacy are strongly associated with higher income gains. Hence, it may be said that the groundwater recharge as a result of construction of check dams must have improved agricultural activity or agricultural output in a material manner, and accordingly all capitals for Raleras have improved.","从社会经济视角来看，探究可持续水资源能否真正维持农村生计具有重要意义。基于历史研究可知，地下水等韧性经济指标的改善往往与社会经济进步及农村生计的其他方面相关联。马哈拉施特拉邦拉莱拉斯村影响生计维持与改善的因素程度，有助于明确理解与地下水恢复相关的各个维度。作为所建蓄水设施产物的生计渠道，其对面收入增长和生计改善的影响得到了检验。对收集到的意见进行了考察，以深入了解“之前”和“之后”（2015—2023年）的状况。研究采用了五资本框架来解读这些结果，并结合多变量分析，预测通过修建拦水坝和流域管理来改善农业经济生计的因果框架。时间序列研究表明，从2021年到2023年，NDVI的变异性逐渐增大，2015年数值范围为0.25至0.50，到2021年升至0.50至0.75。2023年绿色斑块进一步增加，表明植被健康状况改善，尤其是在北部地区。另一方面，NDWI值显示初期存在严重的水分胁迫（−0.25至0.00），后在局部地区逐步改善。空间变异图显示，最终出现了显著改善，更多土地能够支持灌木生长，同时水体也有所增加。植被的显著增加，尤其是在后期，可归因于拉莱拉斯村所实施的水资源管理举措。2015年（M = 146,907，SD = 95445.8）和2023年（M = 706860.5，SD = 655748.3）农业经营年均收入的分布显示出统计学上显著的改善[t(214) = 13.06，p \u003C 0.001]。所利用教育设施的p值为0.001205（p \u003C 0.05），表明结果具有统计学显著性，证明了教育质量与改善的供水设施之间的关联。所有受评估变量，包括受访者的车辆类型、土地持有类型和房屋类型，均具有较大且正向的卡方值，表明这些变量各自的“之前”和“之后”分布存在差异。","Natural Resources Forum","2026-10-07T00:00:00Z",73,{"impact":108,"substance":18,"depth":17,"authority":19,"freshness":319,"relevant":21,"comment":366},"以机器学习与遥感数据量化印度半干旱村庄水资源可持续性对生计的影响，方法扎实、结论具体，但属境外案例研究，对国内三农信息化仅有方法借鉴价值。",[368],{"name":362,"url":359},[26,370,371,29,372],"机器学习","水资源管理","灌溉农业",{"code":374,"slug":375,"name":376,"path":377,"parent_code":122},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",[379],{"code":380,"slug":381,"name":382,"path":383,"parent_code":332},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":125,"locked":14,"version":34,"method":35,"evidence":385},{"candidates":386,"agricultural_evidence":41},[387,392,397,403,407],{"code":374,"score":20,"supported":41,"title":388,"abstract":390,"tags":391},[389],"machine learning",[],[370],{"code":380,"score":319,"supported":41,"title":393,"abstract":394,"tags":396},[],[395,381],"水资源",[371,372],{"code":398,"score":71,"supported":41,"title":399,"abstract":400,"tags":402},"C",[],[401],"livestock",[],{"code":57,"score":21,"supported":14,"title":404,"abstract":405,"tags":406},[],[],[26],{"code":46,"score":21,"supported":14,"title":408,"abstract":409,"tags":410},[],[],[29],[412,413],"Raleras 马哈拉施特拉 水资源","check dam 地下水 生计","Raleras马哈拉施特拉水资源-4527","10.1111\u002F1477-8947.70100",{"doi":415,"openalex_id":417,"authors":418,"venue":362,"cited_by_count":86,"oa_url":9,"card":428,"direction":433,"ingested_from":93},"W7220922038",[419,422,424,426],{"name":420,"orcid":421},"Papiya Deb","https:\u002F\u002Forcid.org\u002F0000-0002-6554-5111",{"name":423,"orcid":9},"Roopsha Deb",{"name":425,"orcid":9},"Udaysinh Bhosale",{"name":427,"orcid":9},"Vemula Sai Vikas",{"tldr":429,"method":430,"finding":431,"direction":91,"opportunity":432},"用机器学习评估印度半干旱村庄水资源可持续开发对农村生计的社会经济影响。","NDVI\u002FNDWI遥感、五资本框架、多元分析与卡方检验，2015–2023数据。","水管理举措显著提升植被覆盖与农业收入，教育设施改善与水资源改善显著相关。","可结合遥感时序与农户调查，量化水利工程对生计的因果效应并推广至其他半干旱区。","农业人工智能与决策模型","2026-10-09T23:30:50.079298Z",{"id":436,"title":437,"url":438,"summary":439,"summary_zh":440,"content":9,"source_name":441,"source_url":438,"published_at":442,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":443,"score_detail":444,"sources":447,"tags":449,"primary_topic":453,"secondary_topics":457,"classification":458,"search_phrases":490,"slug":493,"view_count":21,"doi":494,"paper":495,"created_at":508},4506,"Spatial assessment of soil degradation under intensive agricultural pressure in the central loess plateau","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffenvs.2026.1940953","Soil degradation (SD) threatens the sustainability of semi-arid agricultural systems in the Central Loess Plateau, where intensive cultivation and repeated land-use cycles accelerate soil deterioration. This study developed a spatially explicit and uncertainty-aware framework for assessing and mapping SD by integrating soil quality indicators (SQIs), environmental data, remote sensing, and Random Forest (RF) modelling. A total of 350 surface-soil samples were collected and analyzed. Principal component analysis and the minimum data set (MDS) approach were used to identify representative soil-quality indicators. The final MDS included clay, soil bulk density, pH, soil organic carbon, calcium carbonate equivalent, cation exchange capacity, potassium, and sodium adsorption ratio. Among these indicators, pH, SAR, CEC, SOC, K, and clay received the greatest weights, highlighting the importance of soil chemical conditions, sodicity, nutrient retention, organic matter, and texture in soil quality assessment. Soil degradation was quantified by comparing SQI values of agricultural soils with reference values from natural ecosystems. Environmental predictors were then incorporated into an RF model to estimate the spatial distribution of SD and assess predictor importance. The model showed good predictive performance, with R 2 values of 0.83 for training and 0.76 for validation, and RMSE values ranging from 0.031 to 0.034. Severe degradation was mainly concentrated in the central and southwestern regions, reflecting the cumulative effects of intensive cultivation, nutrient depletion, and SOC loss. Prediction-interval analysis identified areas with greater uncertainty and priority for additional sampling. The proposed framework provides a practical basis for spatially targeted soil conservation, sustainable agricultural management, and long-term ecosystem resilience. Future research should incorporate biological indicators and temporal monitoring to improve SD prediction under changing climatic and land-use conditions.","土壤退化（SD）威胁着黄土高原中部半干旱农业系统的可持续性，该地区集约化耕作和反复的土地利用周期加速了土壤恶化。本研究通过整合土壤质量指标（SQIs）、环境数据、遥感技术和随机森林（RF）建模，开发了一个空间明确且具有不确定性感知的土壤退化评估与制图框架。共采集并分析了350个表层土壤样品。采用主成分分析和最小数据集（MDS）方法识别代表性土壤质量指标。最终的最小数据集包括黏粒、土壤容重、pH、土壤有机碳、碳酸钙当量、阳离子交换量、钾和钠吸附比。在这些指标中，pH、SAR、CEC、SOC、K和黏粒获得了最大的权重，凸显了土壤化学条件、钠质化、养分保持、有机质和质地在土壤质量评估中的重要性。通过比较农业土壤的SQI值与自然生态系统的参考值，对土壤退化进行了量化。随后将环境预测因子纳入随机森林模型，以估算土壤退化的空间分布并评估预测因子的重要性。该模型表现出良好的预测性能，训练集R²值为0.83，验证集R²值为0.76，RMSE值在0.031至0.034之间。严重退化主要集中在中部和西南部地区，反映了集约化耕作、养分耗竭和有机碳损失的累积效应。预测区间分析识别了不确定性较大且需要优先补充采样的区域。所提出的框架为空间针对性的土壤保护、可持续农业管理和长期生态系统恢复力提供了实践基础。未来研究应纳入生物指标和时间监测，以改进气候变化和土地利用变化条件下的土壤退化预测。","Frontiers in Environmental Science","2026-10-08T00:00:00Z",76,{"impact":445,"substance":18,"depth":17,"authority":19,"freshness":319,"relevant":21,"comment":446},15,"基于350个样点与随机森林模型的空间化土壤退化评估，方法扎实、结论可靠，对黄土高原耕地保护有参考价值，但属区域学术研究，公共影响有限。",[448],{"name":441,"url":438},[450,28,29,451,452],"随机森林","土壤退化","黄土高原",{"code":147,"slug":454,"name":455,"path":456,"parent_code":332},"soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[],{"status":125,"locked":14,"version":34,"method":35,"evidence":459},{"candidates":460,"agricultural_evidence":41},[461,465,469,476,482,486],{"code":147,"score":109,"supported":41,"title":462,"abstract":463,"tags":464},[454],[150,454],[],{"code":46,"score":136,"supported":41,"title":466,"abstract":467,"tags":468},[],[49,144],[29],{"code":470,"score":96,"supported":41,"title":471,"abstract":472,"tags":475},"H7",[],[473,474],"气候变化","干旱",[],{"code":477,"score":71,"supported":41,"title":478,"abstract":479,"tags":481},"H8",[],[480],"可持续农业",[],{"code":62,"score":21,"supported":14,"title":483,"abstract":484,"tags":485},[],[],[28],{"code":374,"score":21,"supported":14,"title":487,"abstract":488,"tags":489},[],[],[450],[491,492],"黄土高原 土壤退化 遥感","土壤质量 随机森林 评估","黄土高原土壤退化遥感-4506","10.3389\u002Ffenvs.2026.1940953",{"doi":494,"openalex_id":496,"authors":497,"venue":441,"cited_by_count":86,"oa_url":438,"card":503,"direction":180,"ingested_from":93},"W7221006056",[498,500],{"name":499,"orcid":9},"Xiandong Hou",{"name":501,"orcid":502},"Tao Bai","https:\u002F\u002Forcid.org\u002F0000-0002-2034-8026",{"tldr":504,"method":505,"finding":506,"direction":180,"opportunity":507},"构建融合土壤指标、遥感与随机森林的空间显式框架，评估黄土高原中部高强度农业下的土壤退化。","350个表层土样，PCA与最小数据集筛选指标，随机森林建模并做预测区间分析。","pH、SAR、CEC、SOC、钾和黏粒权重最高；严重退化集中于中部和西南部。","可引入生物指标与多时相遥感监测，提升气候变化和土地利用变化下土壤退化预测的时空精度。","2026-10-09T23:30:25.996370Z"]