[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5569":3,"related-5569":108},{"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":85,"slug":88,"view_count":89,"doi":90,"paper":91,"created_at":107},5569,"A four-decadal (1981–2024) quality-assured ground-based soybean phenology dataset from Northeast China: a FAIR-compliant resource for climate impact and agricultural adaptation studies","https:\u002F\u002Fdoi.org\u002F10.1080\u002F20964471.2026.2735138","Although satellite remote sensing has been widely used to monitor land surface phenology, long-term, high-quality ground-based observations are essential for validating and calibrating these products, particularly for understanding agricultural ecosystem responses to climate change. However, such ground-truth datasets remain scarce, limiting the full potential of Earth system data applications. Here we present a comprehensive ground-based soybean phenology dataset for Northeast China, a region critical to national food security. The dataset integrates historical paper-based logs (1980s–1990s) with modern electronic records (2000s onwards) from 43 national agrometeorological stations operated by the China Meteorological Administration (CMA), spanning a 15° latitudinal gradient (38–53°N) across Heilongjiang, Jilin, and Liaoning provinces over 44 years (1981–2024). It provides the timing (day of year, DOY) of eight key phenophases (sowing, emergence, three-leaf, branching, flowering, pod formation, seed filling, maturity) and the durations of six intervening growth intervals. A multi-tiered quality assurance framework combining automated consistency checks, statistical outlier detection, and expert arbitration against agronomic principles and auxiliary climate data ensures high data integrity and completeness (>99%; paper era: 93.8%; electronic era: 98.1%). To facilitate reuse, we provide pre-computed kernel density estimates (probability distributions) and univariate linear regression trends for each station and phenological variable, along with 656 diagnostic plots. The dataset is openly available in the Science Data Bank under a CC BY 4.0 license as primary data tables (XLSX) and diagnostic plots (JPEG, 1200 dpi) (https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245). As a long-term, spatially explicit, FAIR-compliant ground-truth resource, this dataset is valuable for validating satellite-derived phenology products, calibrating crop modules, and investigating climate-driven impacts on agricultural systems.","尽管卫星遥感已被广泛用于监测地表物候，但长期、高质量的地面观测对于验证和校准这些产品至关重要，尤其是对于理解农业生态系统对气候变化的响应而言。然而，此类地面真值数据集仍然稀缺，限制了地球系统数据应用潜力的充分发挥。本文介绍了一套面向中国东北地区的综合性大豆物候地面数据集，该地区对国家粮食安全至关重要。该数据集整合了中国气象局（CMA）运营的43个国家农业气象站的历史纸质记录（20世纪80—90年代）与现代电子记录（2000年代至今），覆盖黑龙江、吉林和辽宁三省跨越15°纬度梯度（38—53°N）、时间跨度44年（1981—2024年）。数据集提供了8个关键物候期（播种、出苗、三叶、分枝、开花、结荚、鼓粒、成熟）的发生时间（年积日，DOY）以及6个中间生长间隔的持续时间。一套多层质量保证框架结合了自动一致性检查、统计异常值检测以及依据农学原理和辅助气候数据进行的专家仲裁，确保了高数据完整性和完整性（>99%；纸质时代：93.8%；电子时代：98.1%）。为便于重复使用，我们提供了每个站点和物候变量的预计算核密度估计（概率分布）和单变量线性回归趋势，以及656幅诊断图。该数据集以CC BY 4.0许可在Science Data Bank公开提供，包括主数据表（XLSX）和诊断图（JPEG，1200 dpi）（https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245）。作为一个长期、空间明确、符合FAIR原则的地面真值资源，该数据集对于验证卫星反演的物候产品、校准作物模块以及研究气候驱动对农业系统的影响具有重要价值。",null,"Big Earth Data","2026-10-21T00:00:00Z","论文",10,true,89,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},22,24,19,14,1,"覆盖东北44年、43站的大豆物候地面观测数据集，质控严格且FAIR开放，对遥感验证与气候影响研究有实质价值，值得入选。",[24],{"name":10,"url":6},[26,27,28,29,30],"大豆","气候变化","东北农业","物候数据","遥感验证",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds","A",[38],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":45,"locked":46,"version":47,"method":48,"evidence":49},"classified",false,"2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":14},[51,57,63,71,78],{"code":32,"score":52,"supported":14,"title":53,"abstract":55,"tags":56},15,[54],"soybean",[26,54],[26],{"code":39,"score":13,"supported":14,"title":58,"abstract":59,"tags":62},[],[27,60,61],"农业气象","climate change",[27],{"code":64,"score":65,"supported":14,"title":66,"abstract":67,"tags":70},"A8",6,[],[68,69],"粮食安全","food security",[],{"code":72,"score":65,"supported":14,"title":73,"abstract":74,"tags":77},"I3",[],[75,76],"遥感","remote sensing",[],{"code":79,"score":80,"supported":14,"title":81,"abstract":82,"tags":84},"H6",3,[],[83],"农业生态",[],[86,87],"东北 大豆 物候 数据集","大豆 物候 遥感 验证","东北大豆物候数据集-5569",0,"10.1080\u002F20964471.2026.2735138",{"doi":90,"openalex_id":92,"authors":93,"venue":10,"cited_by_count":89,"oa_url":6,"card":100,"direction":104,"ingested_from":106},"W7223091615",[94,97],{"name":95,"orcid":96},"Quanjun Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6087-3928",{"name":98,"orcid":99},"Dongli Wu","https:\u002F\u002Forcid.org\u002F0000-0003-1676-2264",{"tldr":101,"method":102,"finding":103,"direction":104,"opportunity":105},"发布东北大豆1981–2024年44年地面物候数据集，含8个物候期与6个间隔期。","整合43个农气站纸质与电子记录，经自动校验、统计离群检测和专家仲裁质控。","数据完整度超99%，并提供核密度分布、线性趋势与656张诊断图。","农业遥感与作物表型","可基于该地面真值校准遥感物候产品与作物模型，量化气候变化对大豆物候的影响。","openalex","2026-10-22T11:20:39.146445Z",{"total":65,"page":21,"page_size":65,"items":109},[110,159,210,323,366,452],{"id":111,"title":112,"url":113,"summary":114,"summary_zh":9,"content":115,"source_name":116,"source_url":9,"published_at":117,"category":118,"cover_url":9,"hotness":13,"is_selected":46,"score":119,"score_detail":120,"sources":125,"tags":127,"primary_topic":132,"secondary_topics":133,"classification":135,"search_phrases":154,"slug":157,"view_count":21,"doi":9,"paper":9,"created_at":158},2225,"农业农村部办公厅印发当前大豆应对高温干旱技术意见","https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm","针对东北春大豆结荚鼓粒期、黄淮海夏大豆花荚期面临的高温干旱风险,意见提出灌水调墒降温、施肥调控促壮、喷防治虫减损等三方面技术措施。明确东北南部、华北中东部、黄淮中东部等地将有5-7天35-40℃高温天气。","[**中文**](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)[English](https:\u002F\u002Fenglish.moa.gov.cn\u002F)无障碍\n\n[农业农村部邮箱](https:\u002F\u002Fmail.agri.gov.cn\u002F)\n\n[](https:\u002F\u002Fwww.moa.gov.cn\u002F)搜索 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[农业农村投资信息](https:\u002F\u002Facpmp.agri.cn\u002Fxxgk)\n\n[机构职能](https:\u002F\u002Fjcs.moa.gov.cn\u002Fjgzn\u002F)\n\n[工作动态](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgzdt\u002F)\n\n[政策解读](https:\u002F\u002Fjcs.moa.gov.cn\u002Fzcjd\u002F)\n\n[投融资管理](https:\u002F\u002Fjcs.moa.gov.cn\u002Ftrzgl\u002F)\n\n[科研经费管理](https:\u002F\u002Fjcs.moa.gov.cn\u002Fkyjfgl\u002F)\n\n[财会资产管理](https:\u002F\u002Fjcs.moa.gov.cn\u002Fckzcgl\u002F)\n\n[农业农村投资信息](https:\u002F\u002Facpmp.agri.cn\u002Fxxgk)\n\n当前位置：[首页](https:\u002F\u002Fwww.moa.gov.cn\u002F)>[机构](https:\u002F\u002Fwww.moa.gov.cn\u002Fjg\u002F)>[计划财务司](https:\u002F\u002Fjcs.moa.gov.cn\u002F \"计划财务司\")>滚动新闻\n\n# 当前大豆应对高温干旱技术意见\n\n日期：2026-09-11 作者：来源：农业农村部新闻办公室【字号：[大](javascript:;)[中](javascript:;)[小](javascript:;)】[打印本页](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)\n\n当前，东北春大豆处于结荚鼓粒期，黄淮海夏大豆处于花荚期，是大豆产量形成的关键时期，也是需水高峰期和温度敏感期。据气象部门预测，东北地区南部、华北中东部、黄淮中东部、江淮、江汉、江南北部和东部等地将有5—7天的高温天气，日最高气温35—37℃，局地可达38—40℃。为科学应对持续高温和局地干旱，提出灌水调墒降温、施肥调控促壮、喷防治虫减损等措施，最大限度减轻灾害损失。 \n\n （一）灌水调墒降温。花荚期、鼓粒期是大豆需水临界期，土壤适宜含水量在70%—80%。当田间大豆叶片卷曲萎蔫、傍晚至清晨无法恢复时，应立即启动灌溉；仅中午短时萎蔫、早晚快速舒展可暂缓浇水。优选滴灌、喷灌等节水灌溉方式，喷灌水雾可快速降低冠层温度2—4℃、提升空气湿度。严禁正午高温浇水，避免冷热温差刺激根系造成生理性失水，叶片水温急增造成灼伤。缺乏灌溉条件地块，可行间浅中耕松土，切断土壤毛细管，减少地表水分蒸发。\n\n （二）施肥调控促壮。大豆开花后，养分需求量逐步提升，高温下根系吸肥效率下降，叶面追肥见效快。花荚期重点补充尿素和磷钾肥，尿素浓度一般为1%—1.5%，磷酸二氢钾一般为0.1%—0.5%，可添加硼钼等微肥；鼓粒中后期重点补充磷钾肥。长势较弱地块可添加芸苔素、氨基酸等营养调节剂，增强植株抗性，提高抵御高温干旱能力。叶面肥、调节剂选择阴天或傍晚喷施，避开正午强光；无人机作业应加大用水量、降低飞行高度，保证叶片正反面均匀着液。\n\n （三）喷防治虫减损。高温干旱易导致红蜘蛛、蚜虫、烟粉虱、点蜂缘蝽、豆秆黑潜蝇等害虫偏重发生，可选用高效低毒低残留化学杀虫剂，如高效氯氟氰菊酯+吡虫啉+甲维·虫螨腈，或生物农药进行防治。喷药宜在清晨或傍晚进行，避开高温时段，注意药液浓度，防止药害。\n\n*   [机关子站![Image 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[农业农村部人力资源开发中心、中国农学会](https:\u002F\u002Fwww.rlzy.moahr.cn\u002F \"农业农村部人力资源开发中心、中国农学会\")\n13.   [农业农村部农村经济研究中心](http:\u002F\u002Fwww.rcre.agri.cn\u002F \"农业农村部农村经济研究中心\")\n14.   [农业农村部信息中心](https:\u002F\u002Fwww.agri.cn\u002F \"农业农村部信息中心\")\n15.   [农业农村部农产品质量安全中心](http:\u002F\u002Fwww.aqsc.agri.cn\u002F \"农业农村部农产品质量安全中心\")\n16.   [中国绿色食品发展中心](http:\u002F\u002Fwww.greenfood.agri.cn\u002F \"中国绿色食品发展中心\")\n17.   [农业农村部规划设计研究院](http:\u002F\u002Fwww.aape.org.cn\u002F \"农业农村部规划设计研究院\")\n18.   [中国乡村振兴发展中心](javascript:void(0) \"中国乡村振兴发展中心\")\n19.   [农业农村部大数据发展中心](http:\u002F\u002Fwww.abdc.agri.cn\u002F \"农业农村部大数据发展中心\")\n20.   [农业农村部工程建设服务中心](http:\u002F\u002Fwww.gczx.agri.cn\u002F \"农业农村部工程建设服务中心\")\n21.   [农业农村部财会服务中心、中华农业科教基金会](http:\u002F\u002Fwww.ckzx.agri.cn\u002F \"农业农村部财会服务中心、中华农业科教基金会\")\n22.   [农业农村部对外经济合作中心（中国-欧洲联盟农业技术中心）](http:\u002F\u002Fwww.fecc.agri.cn\u002F \"农业农村部对外经济合作中心（中国-欧洲联盟农业技术中心）\")\n23.   [农业农村部农业贸易促进中心(中国国际贸易促进委员会农业行业分会、中国国际商会农业行业商会)](http:\u002F\u002Fwww.mczx.agri.cn\u002F \"农业农村部农业贸易促进中心(中国国际贸易促进委员会农业行业分会、中国国际商会农业行业商会)\")\n24.   [中国国际减贫中心](https:\u002F\u002Fwww.iprcc.org.cn\u002F \"中国国际减贫中心\")\n25.   [农业农村部国际交流服务中心](http:\u002F\u002Fwww.cicos.agri.cn\u002F \"农业农村部国际交流服务中心\")\n26.   [中央农业广播电视学校(农业农村部农民科技教育培训中心)、中国农民体育协会](https:\u002F\u002Fwww.ngx.net.cn\u002F \"中央农业广播电视学校(农业农村部农民科技教育培训中心)、中国农民体育协会\")\n27.   [农业农村部科技发展中心](https:\u002F\u002Fwww.nybkjfzzx.cn\u002F \"农业农村部科技发展中心\")\n28.   [农业农村部农业生态与资源保护总站](http:\u002F\u002Fwww.reea.agri.cn\u002F \"农业农村部农业生态与资源保护总站\")\n29.   [中国农村技术开发中心](http:\u002F\u002Fwww.crtdc.org.cn\u002Fcms\u002Fweb\u002Findex.html \"中国农村技术开发中心\")\n30.   [全国农业技术推广服务中心](http:\u002F\u002Fwww.natesc.org.cn\u002F \"全国农业技术推广服务中心\")\n31.   [农业农村部农药检定所（国际食品法典农药残留委员会秘书处）](http:\u002F\u002Fwww.chinapesticide.org.cn\u002F \"农业农村部农药检定所（国际食品法典农药残留委员会秘书处）\")\n32.   [农业农村部耕地质量和农田工程监督保护中心](http:\u002F\u002Fwww.gdzl.agri.cn\u002F \"农业农村部耕地质量和农田工程监督保护中心\")\n33.   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[网站声明](https:\u002F\u002Fwww.moa.gov.cn\u002Fsy_23468\u002Fhomeinfo\u002Fwzsm\u002F)\n*   |\n*   [网站地图](https:\u002F\u002Fwww.moa.gov.cn\u002Fsy_23468\u002Fhomeinfo\u002Fwzdt\u002F)\n*   |\n*   [联系我们](https:\u002F\u002Fwww.moa.gov.cn\u002Fsy_23468\u002Fhomeinfo\u002Flxwm\u002F)\n*   |\n*   [访问分析](https:\u002F\u002Freport.moa.gov.cn\u002Freport\u002Findex.html)\n\n主办单位：中华人民共和国农业农村部 承办单位：[农业农村部信息中心](https:\u002F\u002Fwww.agri.cn\u002F)\n\n网站识别码bm21000007[京ICP备05039419号-2](https:\u002F\u002Fbeian.miit.gov.cn\u002F)最佳浏览器模式：1024*768分辨率\n\n[![Image 7](https:\u002F\u002Fjcs.moa.gov.cn\u002Fimages\u002Fbajgwa_sj.png) 京公网安备 11010502037559号](https:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11010502037559)\n\n网站保留所有权，未经允许不得复制镜像\n\n[](https:\u002F\u002Fjcs.moa.gov.cn\u002Fgdxw\u002F202609\u002Ft20260911_6487596.htm)\n\n![Image 8](https:\u002F\u002Fjcs.moa.gov.cn\u002Fimages\u002FX_goNotGov.jpg)提示信息\n\n您即将离开农业农村部门户网站，是否继续？\n\n确 定 取 消","农业农村部计划财务司","2026-09-10T16:00:00Z","政策",84,{"impact":18,"substance":121,"depth":122,"authority":52,"freshness":123,"relevant":21,"comment":124},20,17,8,"农业农村部发布的全国性大豆抗高温干旱技术指导意见，含具体灌溉、施肥、用药参数，对主产区生产有直接指导价值，时效性较好，值得进入每日精选。",[126],{"name":116,"url":113},[128,26,129,130,131],"防灾减灾","高温干旱","病虫害防治","水肥管理",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[134],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":45,"locked":46,"version":47,"method":48,"evidence":136},{"candidates":137,"agricultural_evidence":14},[138,143,148],{"code":32,"score":139,"supported":14,"title":140,"abstract":141,"tags":142},12,[26],[26],[26],{"code":39,"score":139,"supported":14,"title":144,"abstract":146,"tags":147},[145],"干旱",[145],[128],{"code":149,"score":80,"supported":14,"title":150,"abstract":151,"tags":153},"F3",[],[152],"施肥",[],[155,156],"病虫害防治 水肥管理 防灾减灾 高温干旱","病虫害防治 水肥管理","病虫害防治水肥管理防灾减灾高温干旱-2225","2026-09-13T00:03:59.238143Z",{"id":160,"title":161,"url":162,"summary":163,"summary_zh":9,"content":164,"source_name":165,"source_url":9,"published_at":166,"category":118,"cover_url":9,"hotness":13,"is_selected":46,"score":167,"score_detail":168,"sources":173,"tags":175,"primary_topic":179,"secondary_topics":180,"classification":182,"search_phrases":204,"slug":207,"view_count":208,"doi":9,"paper":9,"created_at":209},325,"当前大豆应对高温干旱技术意见","https:\u002F\u002Fwww.moa.gov.cn\u002Fxw\u002Fzxfb\u002F202608\u002Ft20260806_6486493.htm","农业农村部8月6日发布《当前大豆应对高温干旱技术意见》。当前正值大豆结荚鼓粒期,是产量形成关键阶段,黄淮海、东北南部等主产区面临高温干旱叠加风险。意见提出以\"抗高温、促灌浆、防早衰\"为主线,因地制宜推广秸秆覆盖、行间覆膜、滴灌喷灌、浅中耕断根、叶面喷施抗旱剂等关键技术,加强病虫害监测预警与统防统治,确保秋粮稳产丰收。","当前，东北春大豆处于结荚鼓粒期，黄淮海夏大豆处于花荚期，是大豆产量形成的关键时期，也是需水高峰期和温度敏感期。据气象部门预测，东北地区南部、华北中东部、黄淮中东部、江淮、江汉、江南北部和东部等地将有5—7天的高温天气，日最高气温35—37℃，局地可达38—40℃。为科学应对持续高温和局地干旱，提出灌水调墒降温、施肥调控促壮、喷防治虫减损等措施，最大限度减轻灾害损失。\n\n（一）灌水调墒降温。花荚期、鼓粒期是大豆需水临界期，土壤适宜含水量在70%—80%。当田间大豆叶片卷曲萎蔫、傍晚至清晨无法恢复时，应立即启动灌溉；仅中午短时萎蔫、早晚快速舒展可暂缓浇水。优选滴灌、喷灌等节水灌溉方式，喷灌水雾可快速降低冠层温度2—4℃、提升空气湿度。严禁正午高温浇水，避免冷热温差刺激根系造成生理性失水，叶片水温急增造成灼伤。缺乏灌溉条件地块，可行间浅中耕松土，切断土壤毛细管，减少地表水分蒸发。\n\n（二）施肥调控促壮。大豆开花后，养分需求量逐步提升，高温下根系吸肥效率下降，叶面追肥见效快。花荚期重点补充尿素和磷钾肥，尿素浓度一般为1%—1.5%，磷酸二氢钾一般为0.1%—0.5%，可添加硼钼等微肥；鼓粒中后期重点补充磷钾肥。长势较弱地块可添加芸苔素、氨基酸等营养调节剂，增强植株抗性，提高抵御高温干旱能力。叶面肥、调节剂选择阴天或傍晚喷施，避开正午强光；无人机作业应加大用水量、降低飞行高度，保证叶片正反面均匀着液。\n\n（三）喷防治虫减损。高温干旱易导致红蜘蛛、蚜虫、烟粉虱、点蜂缘蝽、豆秆黑潜蝇等害虫偏重发生，可选用高效低毒低残留化学杀虫剂，如高效氯氟氰菊酯+吡虫啉+甲维·虫螨腈，或生物农药进行防治。喷药宜在清晨或傍晚进行，避开高温时段，注意药液浓度，防止药害。","农业农村部 2026-08-06","2026-08-06T00:00:00Z",85,{"impact":169,"substance":121,"depth":170,"authority":52,"freshness":171,"relevant":21,"comment":172},25,18,7,"农业农村部发布的大豆高温干旱应对技术意见，针对当前关键期提出具体措施，具有全国性指导意义，信息详实，权威性高。",[174],{"name":165,"url":162},[176,177,26,129,178],"农业农村部","秋粮田管","技术意见",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[181],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":45,"locked":46,"version":47,"method":48,"evidence":183},{"candidates":184,"agricultural_evidence":14},[185,189,194,199],{"code":32,"score":139,"supported":14,"title":186,"abstract":187,"tags":188},[26],[26],[26],{"code":39,"score":190,"supported":14,"title":191,"abstract":192,"tags":193},11,[145],[145],[],{"code":195,"score":21,"supported":46,"title":196,"abstract":197,"tags":198},"G1",[],[],[178],{"code":200,"score":21,"supported":46,"title":201,"abstract":202,"tags":203},"J4",[],[],[177],[205,206],"农业农村部 技术意见 秋粮田管 高温干旱","农业农村部 技术意见","农业农村部技术意见秋粮田管高温干旱-325",4,"2026-08-09T23:54:47.191933Z",{"id":211,"title":212,"url":213,"summary":214,"summary_zh":215,"content":9,"source_name":216,"source_url":213,"published_at":217,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":218,"score_detail":219,"sources":222,"tags":224,"primary_topic":229,"secondary_topics":230,"classification":241,"search_phrases":294,"slug":297,"view_count":89,"doi":298,"paper":299,"created_at":322},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","Kashmir Journal of Academic Research and Development","2026-10-20T00:00:00Z",66,{"impact":220,"substance":170,"depth":52,"authority":139,"freshness":123,"relevant":21,"comment":221},13,"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[223],{"name":216,"url":213},[27,225,226,227,228],"盐碱地治理","遥感监测","智慧灌溉","土壤盐渍化",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[231,236],{"code":232,"slug":233,"name":234,"path":235,"parent_code":43},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":237,"slug":238,"name":239,"path":240,"parent_code":43},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":45,"locked":46,"version":47,"method":48,"evidence":242},{"candidates":243,"agricultural_evidence":14},[244,249,254,261,265,269,276,283,288],{"code":39,"score":170,"supported":14,"title":245,"abstract":246,"tags":248},[61],[27,247,145,61],"气候适应",[27],{"code":232,"score":52,"supported":14,"title":250,"abstract":251,"tags":253},[233],[252,233],"土壤",[225],{"code":237,"score":13,"supported":14,"title":255,"abstract":256,"tags":260},[],[257,258,238,259],"灌溉","水资源","evapotranspiration",[227],{"code":72,"score":171,"supported":14,"title":262,"abstract":263,"tags":264},[],[75,76],[226],{"code":64,"score":65,"supported":14,"title":266,"abstract":267,"tags":268},[],[68,69],[],{"code":270,"score":65,"supported":14,"title":271,"abstract":272,"tags":275},"I1",[],[273,274],"精准农业","precision agriculture",[],{"code":277,"score":65,"supported":14,"title":278,"abstract":279,"tags":282},"I4",[],[280,281],"地理信息","geographic information",[],{"code":149,"score":80,"supported":14,"title":284,"abstract":285,"tags":287},[],[286],"养分管理",[],{"code":289,"score":80,"supported":14,"title":290,"abstract":291,"tags":293},"J1",[],[292],"农业政策",[],[295,296],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":298,"openalex_id":300,"authors":301,"venue":216,"cited_by_count":89,"oa_url":213,"card":317,"direction":104,"ingested_from":106},"W7222999158",[302,304,306,308,310,312,315],{"name":303,"orcid":9},"Asifa Naz",{"name":305,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":307,"orcid":9},"Syed Asghar Hussain Shah",{"name":309,"orcid":9},"Shahrish Nawaz",{"name":311,"orcid":9},"Muhmmad Irfan",{"name":313,"orcid":314},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":316,"orcid":9},"Muhammad Nouman Khalid",{"tldr":318,"method":319,"finding":320,"direction":104,"opportunity":321},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z",{"id":324,"title":325,"url":326,"summary":327,"summary_zh":9,"content":9,"source_name":328,"source_url":9,"published_at":329,"category":330,"cover_url":9,"hotness":13,"is_selected":46,"score":331,"score_detail":332,"sources":334,"tags":336,"primary_topic":341,"secondary_topics":342,"classification":343,"search_phrases":361,"slug":364,"view_count":89,"doi":9,"paper":9,"created_at":365},5358,"太和县税镇镇皖豆 61 大豆高产示范田实收测产 亩产 313.34 公斤","https:\u002F\u002Fwww.ahnw.cn\u002Fschq\u002Fcontent\u002F2fc36d3d-4806-4599-8673-84505ed00628","2026 年 10 月 12 日,安徽省农科院专家组赴太和县税镇镇姚寨村开展现场实收测产,示范田连片面积 218 亩,前茬为小麦,选用皖豆 61 优良大豆品种。专家组现场选取 20.8 亩田块实收,折算亩产 313.34 公斤,超额实现亩产 600 斤的预定目标。集成应用密植精播、合理群体构建、精准水肥调控、一喷多促等大豆高产关键技术体系。","安徽农网 2026-10-12","2026-10-12T00:00:00Z","报道",56,{"impact":139,"substance":170,"depth":139,"authority":13,"freshness":208,"relevant":21,"comment":333},"县级示范田实收测产，数据具体、技术体系清晰，但属地方性进展且已过一周，时效与影响层级有限，可作常规资讯而非每日精选。",[335],{"name":328,"url":326},[337,26,338,339,340],"安徽","测产","高产示范","皖豆61",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":45,"locked":46,"version":47,"method":48,"evidence":344},{"candidates":345,"agricultural_evidence":14},[346,350,356],{"code":32,"score":139,"supported":14,"title":347,"abstract":348,"tags":349},[26],[26],[26],{"code":351,"score":80,"supported":14,"title":352,"abstract":353,"tags":355},"A2",[],[354],"小麦",[],{"code":64,"score":357,"supported":46,"title":358,"abstract":359,"tags":360},2,[],[],[338,339],[362,363],"太和县 皖豆61 测产","安徽农科院 大豆 高产示范","太和县皖豆61测产-5358","2026-10-20T02:47:45.197444Z",{"id":367,"title":368,"url":369,"summary":370,"summary_zh":371,"content":9,"source_name":372,"source_url":369,"published_at":373,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":374,"score_detail":375,"sources":377,"tags":379,"primary_topic":383,"secondary_topics":384,"classification":386,"search_phrases":431,"slug":434,"view_count":89,"doi":9,"paper":435,"created_at":451},5312,"Agricultural Production under Climate Change in Afghanistan: Impacts, Challenges and Adaptation Options (A Review)","https:\u002F\u002Fesrj.edu.af\u002Fesrj\u002Farticle\u002Fview\u002F123","Climate change poses serious challenges to agriculture in Afghanistan, a country largely dependent on rainfed farming and highly vulnerable to water scarcity, drought, and temperature extremes. Understanding the impacts of climate variability and identifying effective adaptation strategies are essential to sustain agricultural productivity and ensure food security. This systematic review synthesizes empirical, modeling, and review studies on climate change effects on Afghan agriculture, assesses adaptation measures, and integrates regional experiences from Pakistan, Iran, Tajikistan, and Uzbekistan. A structured literature search was conducted using peer-reviewed articles, institutional reports, and regional studies published between 2000 and 2025. Studies were selected based on relevance to Afghan agro-ecological systems, climate stressors, and adaptation strategies. We extracted data using a structured table format following PRISMA guidelines, combining national and regional evidence. Findings indicate that water scarcity, prolonged drought, rising temperatures, and erratic precipitation are the main stressors affecting major crops, including wheat, barley, chickpea, maize, and cotton. Yield reductions ranged from 12% to 25% across provinces. Adaptation strategies such as Climate-Smart Agriculture (CSA), efficient irrigation (drip and sprinkler), rainwater harvesting, mulching, and drought- or heat-tolerant crop varieties were most effective. Regional evidence confirms the transferability of these measures under similar agro-climatic conditions. In conclusion, climate change significantly threatens agricultural productivity in Afghanistan. Evidence-based adaptation strategies, supported by coordinated policy and capacity-building initiatives, can enhance resilience, protect rural livelihoods, and ensure sustainable food security.","气候变化对阿富汗农业构成严峻挑战，该国农业在很大程度上依赖雨养耕作，极易受到水资源短缺、干旱和极端温度的影响。理解气候变异的影响并确定有效的适应策略，对于维持农业生产力和保障粮食安全至关重要。本系统综述综合了关于气候变化对阿富汗农业影响的实证研究、模拟研究和综述研究，评估了适应措施，并整合了巴基斯坦、伊朗、塔吉克斯坦和乌兹别克斯坦的区域经验。采用结构化文献检索方法，检索了2000年至2025年间发表的同行评审论文、机构报告和区域研究。研究依据其与阿富汗农业生态系统、气候胁迫因子和适应策略的相关性进行筛选。我们遵循PRISMA指南，采用结构化表格格式提取数据，综合了国家层面和区域层面的证据。研究结果表明，水资源短缺、持续干旱、气温上升和降水不稳定是影响主要作物（包括小麦、大麦、鹰嘴豆、玉米和棉花）的主要胁迫因子。各省产量降幅在12%至25%之间。气候智慧型农业（CSA）、高效灌溉（滴灌和喷灌）、雨水收集、覆盖栽培以及耐旱或耐热作物品种等适应策略最为有效。区域证据证实了这些措施在相似农业气候条件下的可推广性。总之，气候变化显著威胁阿富汗的农业生产力。以协调政策和能力建设举措为支撑的循证适应策略能够增强韧性、保护农村生计并确保可持续的粮食安全。","ESRJ","2026-10-16T00:00:00Z",73,{"impact":170,"substance":121,"depth":122,"authority":139,"freshness":65,"relevant":21,"comment":376},"系统综述整合2000-2025年证据，量化减产12%-25%并提出可迁移的适应策略，对区域农业气候韧性研究有参考价值，但非国内三农政策或产业事件，时效性一般。",[378],{"name":372,"url":369},[380,68,27,381,382],"智慧农业","适应性策略","水资源短缺",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[385],{"code":237,"slug":238,"name":239,"path":240,"parent_code":43},{"status":45,"locked":46,"version":47,"method":48,"evidence":387},{"candidates":388,"agricultural_evidence":14},[389,394,399,403,408,415,422,427],{"code":39,"score":170,"supported":14,"title":390,"abstract":391,"tags":393},[61],[27,145,61,392],"drought",[27],{"code":237,"score":395,"supported":14,"title":396,"abstract":397,"tags":398},9,[],[257,258,238],[],{"code":64,"score":171,"supported":14,"title":400,"abstract":401,"tags":402},[],[68,69],[68],{"code":351,"score":65,"supported":14,"title":404,"abstract":405,"tags":407},[],[354,406],"wheat",[],{"code":409,"score":65,"supported":14,"title":410,"abstract":411,"tags":414},"A3",[],[412,413],"玉米","maize",[],{"code":416,"score":65,"supported":14,"title":417,"abstract":418,"tags":421},"A6",[],[419,420],"棉花","cotton",[],{"code":270,"score":208,"supported":14,"title":423,"abstract":424,"tags":426},[],[425],"smart agriculture",[380],{"code":79,"score":80,"supported":14,"title":428,"abstract":429,"tags":430},[],[83],[],[432,433],"阿富汗 气候变化","气候智慧型农业 灌溉","阿富汗气候变化-5312",{"doi":9,"openalex_id":436,"authors":437,"venue":372,"cited_by_count":89,"oa_url":369,"card":444,"direction":450,"ingested_from":106},"W7222907396",[438,440,442],{"name":439,"orcid":9},"Mohammad Shafiq Faieq",{"name":441,"orcid":9},"Mustafa Abid",{"name":443,"orcid":9},"Abdul khalil Afghani",{"tldr":445,"method":446,"finding":447,"direction":448,"opportunity":449},"系统综述气候变化对阿富汗农业的影响、挑战与适应策略。","按PRISMA检索2000-2025年文献，整合阿富汗及周边四国区域证据。","水资源短缺与干旱致主要作物减产12%-25%，气候智慧型农业与节水灌溉最有效。","农业绿色发展与碳","可研究气候智慧型农业措施在阿富汗及周边干旱区的本地化适配与推广机制。","智慧农业 \u002F 农业物联网","2026-10-19T23:30:11.285828Z",{"id":453,"title":454,"url":455,"summary":456,"summary_zh":9,"content":457,"source_name":458,"source_url":9,"published_at":459,"category":330,"cover_url":9,"hotness":13,"is_selected":46,"score":460,"score_detail":461,"sources":463,"tags":465,"primary_topic":470,"secondary_topics":471,"classification":472,"search_phrases":493,"slug":496,"view_count":89,"doi":9,"paper":9,"created_at":497},5277,"崖州湾国家实验室+黑龙江省农科院\"崖创豆668\"在吉林梨树测产亩产416.71公斤","https:\u002F\u002Fnews.sciencenet.cn\u002Fsbhtmlnews\u002F2026\u002F10\u002F391613.shtm","崖州湾国家实验室联合国内多个科研团队,近日两款理想株型大豆新品系在山东、吉林两地实收测产丰收:山东东营盐碱地示范区\"国创豆78\"亩产404.85公斤(崖州湾实验室田志喜团队),吉林梨树试验基地\"崖创豆668\"亩产416.71公斤(崖州湾+黑龙江省农科院合作培育);为东北黑土地及同类生态区大豆高产种植提供了优质新品种。","本报讯（记者冯丽妃）近日，崖州湾国家实验室联合国内多个科研团队宣布，两款理想株型大豆新品系在山东、吉林两地实收测产丰收，亩产双双突破400公斤，为提升我国大豆产能、保障国家粮油安全提供了强有力的种源与技术支撑。\n\n此次测产中，山东东营盐碱地示范区的“国创豆78”由崖州湾国家实验室研究员田志喜团队历时8年选育，具有株型紧凑、长分枝、耐盐碱、籽粒大等特点，在盐碱叠加高温干旱的情况下，示范田刨除水分杂质后亩产达404.85公斤。专家组现场勘查后认为，该品系高产、稳产、耐盐性状突出，在同类盐碱生态区具有良好试验示范价值。\n\n与此同时，由崖州湾国家实验室大豆种子创新团队和黑龙江省农科院合作培育的高产耐密新品系“崖创豆668”在吉林梨树试验基地测产时亩产达416.71公斤，丰产潜力优异，为东北黑土地及同类生态区大豆高产种植提供了优质新品种选择。","科学网(2026-10-14)","2026-10-14T00:00:00Z",75,{"impact":17,"substance":121,"depth":20,"authority":220,"freshness":65,"relevant":21,"comment":462},"国家级实验室与省农科院联合培育的大豆新品系实收测产突破400公斤，数据具体、信源权威，对东北黑土地大豆产能提升有示范价值，值得进入每日精选。",[464],{"name":458,"url":455},[466,26,467,468,469],"种业振兴","黑土地","粮油安全","耐密品种",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":45,"locked":46,"version":47,"method":48,"evidence":473},{"candidates":474,"agricultural_evidence":14},[475,479,484,488],{"code":32,"score":208,"supported":14,"title":476,"abstract":477,"tags":478},[],[26],[26],{"code":232,"score":80,"supported":14,"title":480,"abstract":481,"tags":483},[],[482],"盐碱地",[],{"code":64,"score":21,"supported":46,"title":485,"abstract":486,"tags":487},[],[],[468],{"code":489,"score":21,"supported":46,"title":490,"abstract":491,"tags":492},"F1",[],[],[466],[494,495],"崖创豆668 梨树 测产","崖州湾国家实验室 大豆","崖创豆668梨树测产-5277","2026-10-19T00:07:41.160572Z"]