[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4846":3,"related-4846":50},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":8,"secondary_topics":31,"classification":32,"search_phrases":45,"slug":48,"view_count":21,"doi":8,"paper":8,"created_at":49},4846,"中华人民共和国农业农村部公告 第1070号","https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002FYYJ\u002F202610\u002Ft20261013_6488543.htm","根据《中华人民共和国野生动物保护法》有关规定,农业农村部将广西北海涠洲岛布氏鲸重要栖息地列入《国家重点保护水生野生动物重要栖息名录(第三批)》,现予以公布,自公告发布之日起实施。",null,"[](https:\u002F\u002Fwww.moa.gov.cn\u002F)无障碍\n\n![Image 1](https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002Fimages\u002Ftopbg_0506_pc.jpg)![Image 2](https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002Fimages\u002Ftopbg_0506_m.jpg)\n\n![Image 3](https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002Fimages\u002Fg20_200404xxgksearch_1.png)\n\n[高级检索](https:\u002F\u002Fwww.moa.gov.cn\u002Fso\u002Fs?&siteCode=bm21000007&qt=&tab=gk&advancedSearchType=1)\n\n索 引 号 07B160214202600263 信息所属单位 渔业渔政管理局\n\n信息名称 中华人民共和国农业农村部公告 第1070号\n\n文 号 农业农村部公告第1070号 生效日期 2026年09月28日 发布日期 2026年10月13日\n\n内容概述 公布《国家重点保护水生野生动物重要栖息地名录（第三批）》\n\n索 引 号 07B160214202600263 信息名称 中华人民共和国农业农村部公告 第1070号 文 号 农业农村部公告第1070号 信息所属单位 渔业渔政管理局 生效日期 2026年09月28日 发布日期 2026年10月13日 内容概述 公布《国家重点保护水生野生动物重要栖息地名录（第三批）》\n\n## 中华人民共和国农业农村部公告 第1070号\n\n发布时间：2026年10月13日\n\n字体：[大 中 小]\n\n根据《中华人民共和国野生动物保护法》有关规定，我部将广西北海涠洲岛布氏鲸重要栖息地列入《国家重点保护水生野生动物重要栖息地名录（第三批）》，现予以公布，自本公告发布之日起实施。\n\n特此公告。\n\n农业农村部\n\n20 2 6 年 9 月28日\n\n附件：\n\n*   [国家重点保护水生野生动物重要栖息地名录（第三批）.ofd](https:\u002F\u002Fwww.moa.gov.cn\u002Fzxfile\u002Freader?file=https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002FYYJ\u002F202610\u002FP020261013523043603629.ofd)\n\n相关新闻：\n\n扫一扫在手机打开当前页\n\n*   [机关子站![Image 4](https:\u002F\u002Fwww.moa.gov.cn\u002Fimages\u002Fgov-links-arrow-icon1_03.png)](https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002FYYJ\u002F202610\u002Ft20261013_6488543.htm)\n*   [直属单位网站![Image 5](https:\u002F\u002Fwww.moa.gov.cn\u002Fimages\u002Fgov-links-arrow-icon1_03.png)](https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002FYYJ\u002F202610\u002Ft20261013_6488543.htm)\n*   [![Image 6](https:\u002F\u002Fwww.moa.gov.cn\u002Fimages\u002Fgov-links-pic_1_03.png)](https:\u002F\u002Fwww.gov.cn\u002F)\n*   [国务院各部门网站![Image 7](https:\u002F\u002Fwww.moa.gov.cn\u002Fimages\u002Fgov-links-arrow-icon1_03.png)](https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002FYYJ\u002F202610\u002Ft20261013_6488543.htm)\n*   [地方农业管理部门网站![Image 8](https:\u002F\u002Fwww.moa.gov.cn\u002Fimages\u002Fgov-links-arrow-icon1_03.png)](https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002FYYJ\u002F202610\u002Ft20261013_6488543.htm)\n\n1.   [办公厅（对台湾农业事务办公室）](https:\u002F\u002Fbgt.moa.gov.cn\u002F \"办公厅（对台湾农业事务办公室）\")\n2.   [人事司（党组巡视工作领导小组办公室）](https:\u002F\u002Frss.moa.gov.cn\u002F \"人事司（党组巡视工作领导小组办公室）\")\n3.   [法规司](https:\u002F\u002Ffgs.moa.gov.cn\u002F \"法规司\")\n4.   [政策与改革司](https:\u002F\u002Fzcggs.moa.gov.cn\u002F \"政策与改革司\")\n5.   [发展规划司](https:\u002F\u002Fjhs.moa.gov.cn\u002F \"发展规划司\")\n6.   [计划财务司](https:\u002F\u002Fjcs.moa.gov.cn\u002F \"计划财务司\")\n7.   [种植业管理司（农药管理司）](https:\u002F\u002Fzzys.moa.gov.cn\u002F \"种植业管理司（农药管理司）\")\n8.   [畜牧兽医局](https:\u002F\u002Fxmsyj.moa.gov.cn\u002F \"畜牧兽医局\")\n9.   [渔业渔政管理局](https:\u002F\u002Fyyj.moa.gov.cn\u002F \"渔业渔政管理局\")\n10.   [乡村产业发展司（农产品加工指导司）](https:\u002F\u002Fxccys.moa.gov.cn\u002F \"乡村产业发展司（农产品加工指导司）\")\n11.   [乡村建设促进司](javascript:void(0) \"乡村建设促进司\")\n12.   [农村社会事业促进司](https:\u002F\u002Fshsys.moa.gov.cn\u002F \"农村社会事业促进司\")\n13.   [农村合作经济指导司](https:\u002F\u002Fhzjjs.moa.gov.cn\u002F \"农村合作经济指导司\")\n14.   [帮扶司](https:\u002F\u002Fbfs.moa.gov.cn\u002F \"帮扶司\")\n15.   [区域协作促进司（革命老区工作办公室）](https:\u002F\u002Fqys.moa.gov.cn\u002F \"区域协作促进司（革命老区工作办公室）\")\n16.   [监督检查司](https:\u002F\u002Fjdjcs.moa.gov.cn\u002F \"监督检查司\")\n17.   [市场与信息化司](https:\u002F\u002Fscs.moa.gov.cn\u002F \"市场与信息化司\")\n18.   [国际合作司](https:\u002F\u002Fgjs.moa.gov.cn\u002F \"国际合作司\")\n19.   [科学技术司（农业转基因生物安全管理办公室）](https:\u002F\u002Fkjs.moa.gov.cn\u002F \"科学技术司（农业转基因生物安全管理办公室）\")\n20.   [农产品质量安全监管司](https:\u002F\u002Fjgs.moa.gov.cn\u002F \"农产品质量安全监管司\")\n21.   [农垦局](https:\u002F\u002Fnkj.moa.gov.cn\u002F \"农垦局\")\n22.   [种业管理司](https:\u002F\u002Fzys.moa.gov.cn\u002F \"种业管理司\")\n23.   [农业机械化管理司](https:\u002F\u002Fnjhs.moa.gov.cn\u002F \"农业机械化管理司\")\n24.   [农田建设管理司](https:\u002F\u002Fntjss.moa.gov.cn\u002F \"农田建设管理司\")\n25.   [机关党委](https:\u002F\u002Fdangwei.moa.gov.cn\u002F \"机关党委\")\n26.   [离退休干部局](https:\u002F\u002Fltxgbj.moa.gov.cn\u002F \"离退休干部局\")\n27.   [长江流域渔政监督管理办公室](https:\u002F\u002Fcjyzbgs.moa.gov.cn\u002F \"长江流域渔政监督管理办公室\")\n\n1.   [农业农村部机关服务中心( 农业农村部机关服务局 )](http:\u002F\u002Fwww.jgfwj.agri.cn\u002F \"农业农村部机关服务中心( 农业农村部机关服务局 )\")\n2.   [中国农业科学院](https:\u002F\u002Fwww.caas.cn\u002F \"中国农业科学院\")\n3.   [中国水产科学研究院](https:\u002F\u002Fwww.cafs.ac.cn\u002F \"中国水产科学研究院\")\n4.   [中国热带农业科学院](https:\u002F\u002Fwww.catas.cn\u002F \"中国热带农业科学院\")\n5.   [全国农业展览馆（中国农业博物馆）](http:\u002F\u002Fwww.ciae.com.cn\u002F \"全国农业展览馆（中国农业博物馆）\")\n6.   [中国农业电影电视中心](http:\u002F\u002Fwww.ntv.cn\u002F \"中国农业电影电视中心\")\n7.   [农民日报社](https:\u002F\u002Fwww.farmer.com.cn\u002F \"农民日报社\")\n8.   [中国农业出版社有限公司（农村读物出版社）](http:\u002F\u002Fwww.ccap.com.cn\u002F \"中国农业出版社有限公司（农村读物出版社）\")\n9.   [中国农村杂志社](https:\u002F\u002Fwww.crnews.net\u002F \"中国农村杂志社\")\n10.   [全国乡村振兴宣传教育中心](https:\u002F\u002Fnpecrr.agri.cn\u002F \"全国乡村振兴宣传教育中心\")\n11.   [中央农业干部教育培训中心（农业农村部管理干部学院、中国共产党农业农村部党校）](http:\u002F\u002Fwww.gbxy.agri.cn\u002F \"中央农业干部教育培训中心（农业农村部管理干部学院、中国共产党农业农村部党校）\")\n12.   [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](https:\u002F\u002Fxczx.agri.cn\u002F \"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.   [农业农村部农业机械化总站](http:\u002F\u002Fwww.amic.agri.cn\u002F \"农业农村部农业机械化总站\")\n34.   [全国畜牧总站](https:\u002F\u002Fwww.nahs.org.cn\u002F \"全国畜牧总站\")\n35.   [中国动物疫病预防控制中心（农业农村部屠宰技术中心）](http:\u002F\u002Fwww.cadc.net.cn\u002F \"中国动物疫病预防控制中心（农业农村部屠宰技术中心）\")\n36.   [中国兽医药品监察所（农业农村部兽药评审中心）](http:\u002F\u002Fwww.ivdc.org.cn\u002F \"中国兽医药品监察所（农业农村部兽药评审中心）\")\n37.   [中国动物卫生与流行病学中心](http:\u002F\u002Fwww.cahec.cn\u002F \"中国动物卫生与流行病学中心\")\n38.   [中国农垦经济发展中心（农业农村部南亚热带作物中心）](http:\u002F\u002Fwww.farmchina.org.cn\u002F \"中国农垦经济发展中心（农业农村部南亚热带作物中心）\")\n39.   [农业农村部农村社会事业发展中心（农业农村部乡镇企业发展中心）](http:\u002F\u002Fwww.shsyzx.agri.cn\u002F \"农业农村部农村社会事业发展中心（农业农村部乡镇企业发展中心）\")\n40.   [农业农村部乡村振兴监测中心](javascript:void(0) \"农业农村部乡村振兴监测中心\")\n41.   [全国水产技术推广总站、中国水产学会](http:\u002F\u002Fwww.nftec.agri.cn\u002F \"全国水产技术推广总站、中国水产学会\")\n42.   [农业农村部渔政保障中心](http:\u002F\u002Fwww.yzbzzx.agri.cn\u002F \"农业农村部渔政保障中心\")\n\n[外交部](https:\u002F\u002Fwww.fmprc.gov.cn\u002Fweb\u002F \"外交部\")[国防部](http:\u002F\u002Fwww.mod.gov.cn\u002F \"国防部\")[国家发展和改革委员会](https:\u002F\u002Fwww.ndrc.gov.cn\u002F \"国家发展和改革委员会\")[教育部](http:\u002F\u002Fwww.moe.gov.cn\u002F \"教育部\")[科学技术部](https:\u002F\u002Fwww.most.gov.cn\u002F \"科学技术部\")[工业和信息化部](https:\u002F\u002Fwww.miit.gov.cn\u002F \"工业和信息化部\")[国家民族事务委员会](https:\u002F\u002Fwww.neac.gov.cn\u002F \"国家民族事务委员会\")[公安部](https:\u002F\u002Fwww.mps.gov.cn\u002F \"公安部\")[国家安全部](javascript:void(0) \"国家安全部\")[民政部](https:\u002F\u002Fwww.mca.gov.cn\u002F \"民政部\")[司法部](http:\u002F\u002Fwww.moj.gov.cn\u002F \"司法部\")[财政部](http:\u002F\u002Fwww.mof.gov.cn\u002F \"财政部\")[人力资源和社会保障部](http:\u002F\u002Fwww.mohrss.gov.cn\u002F \"人力资源和社会保障部\")[自然资源部](https:\u002F\u002Fwww.mnr.gov.cn\u002F \"自然资源部\")[生态环境部](https:\u002F\u002Fwww.mee.gov.cn\u002F \"生态环境部\")[住房和城乡建设部](https:\u002F\u002Fwww.mohurd.gov.cn\u002F \"住房和城乡建设部\")[交通运输部](https:\u002F\u002Fwww.mot.gov.cn\u002F \"交通运输部\")[水利部](http:\u002F\u002Fwww.mwr.gov.cn\u002F \"水利部\")[农业农村部](http:\u002F\u002Fwww.moa.gov.cn\u002F \"农业农村部\")[商务部](http:\u002F\u002Fwww.mofcom.gov.cn\u002F \"商务部\")[文化和旅游部](https:\u002F\u002Fwww.mct.gov.cn\u002F \"文化和旅游部\")[国家卫生健康委员会](http:\u002F\u002Fwww.nhc.gov.cn\u002F \"国家卫生健康委员会\")[退役军人事务部](http:\u002F\u002Fwww.mva.gov.cn\u002F \"退役军人事务部\")[应急管理部](https:\u002F\u002Fwww.mem.gov.cn\u002F \"应急管理部\")[中国人民银行](http:\u002F\u002Fwww.pbc.gov.cn\u002F \"中国人民银行\")[审计署](https:\u002F\u002Fwww.audit.gov.cn\u002F \"审计署\")[国家语言文字工作委员会](http:\u002F\u002Fwww.moe.gov.cn\u002Fjyb_sy\u002FChina_Language\u002F \"国家语言文字工作委员会\")[国家航天局](https:\u002F\u002Fwww.cnsa.gov.cn\u002F \"国家航天局\")[国家原子能机构](https:\u002F\u002Fwww.caea.gov.cn\u002F \"国家原子能机构\")[国家外国专家局](javascript:void(0) \"国家外国专家局\")[国家海洋局](javascript:void(0) \"国家海洋局\")[国家核安全局](https:\u002F\u002Fnnsa.mee.gov.cn\u002F \"国家核安全局\")[国家乡村振兴局](javascript:void(0) \"国家乡村振兴局\")[国务院国有资产监督管理委员会](http:\u002F\u002Fwww.sasac.gov.cn\u002F \"国务院国有资产监督管理委员会\")[海关总署](http:\u002F\u002Fwww.customs.gov.cn\u002F \"海关总署\")[国家税务总局](http:\u002F\u002Fwww.chinatax.gov.cn\u002F \"国家税务总局\")[国家市场监督管理总局](https:\u002F\u002Fwww.samr.gov.cn\u002F \"国家市场监督管理总局\")[国家金融监督管理总局](https:\u002F\u002Fwww.nfra.gov.cn\u002F \"国家金融监督管理总局\")[中国证券监督管理委员会](http:\u002F\u002Fwww.csrc.gov.cn\u002F \"中国证券监督管理委员会\")[国家广播电视总局](http:\u002F\u002Fwww.nrta.gov.cn\u002F \"国家广播电视总局\")[国家体育总局](https:\u002F\u002Fwww.sport.gov.cn\u002F \"国家体育总局\")[国家信访局](https:\u002F\u002Fwww.gjxfj.gov.cn\u002Fgjxfj\u002Findex.htm \"国家信访局\")[国家统计局](http:\u002F\u002Fwww.stats.gov.cn\u002F \"国家统计局\")[国家知识产权局](https:\u002F\u002Fwww.cnipa.gov.cn\u002F \"国家知识产权局\")[国家国际发展合作署](http:\u002F\u002Fwww.cidca.gov.cn\u002F \"国家国际发展合作署\")[国家医疗保障局](http:\u002F\u002Fwww.nhsa.gov.cn\u002F \"国家医疗保障局\")[国务院参事室](http:\u002F\u002Fwww.counsellor.gov.cn\u002F \"国务院参事室\")[国家机关事务管理局](http:\u002F\u002Fwww.ggj.gov.cn\u002F \"国家机关事务管理局\")[国家反垄断局](javascript:void(0) \"国家反垄断局\")[国家认证认可监督管理委员会](http:\u002F\u002Fwww.cnca.gov.cn\u002F \"国家认证认可监督管理委员会\")[国家标准化管理委员会](http:\u002F\u002Fwww.sac.gov.cn\u002F \"国家标准化管理委员会\")[国家新闻出版署（国家版权局）](https:\u002F\u002Fwww.ncac.gov.cn\u002F \"国家新闻出版署（国家版权局）\")[国家宗教事务局](https:\u002F\u002Fwww.sara.gov.cn\u002F \"国家宗教事务局\")[国务院研究室](https:\u002F\u002Fwww.gov.cn\u002Fguoqing\u002F2018-06\u002F22\u002Fcontent_5300522.htm \"国务院研究室\")[国务院侨务办公室](https:\u002F\u002Fwww.gqb.gov.cn\u002F \"国务院侨务办公室\")[国务院港澳事务办公室](https:\u002F\u002Fwww.hmo.gov.cn\u002F \"国务院港澳事务办公室\")[国务院台湾事务办公室](http:\u002F\u002Fwww.gwytb.gov.cn\u002F \"国务院台湾事务办公室\")[国家互联网信息办公室](http:\u002F\u002Fwww.cac.gov.cn\u002F \"国家互联网信息办公室\")[国务院新闻办公室](http:\u002F\u002Fwww.scio.gov.cn\u002Findex.htm \"国务院新闻办公室\")[新华通讯社](https:\u002F\u002Fwww.news.cn\u002Fxinhuashe\u002F \"新华通讯社\")[中国科学院](https:\u002F\u002Fwww.cas.cn\u002F \"中国科学院\")[中国社会科学院](http:\u002F\u002Fwww.cass.cn\u002F \"中国社会科学院\")[中国工程院](https:\u002F\u002Fwww.cae.cn\u002F \"中国工程院\")[国务院发展研究中心](https:\u002F\u002Fwww.drc.gov.cn\u002Fdefault.aspx \"国务院发展研究中心\")[中央广播电视总台](javascript:void(0) \"中央广播电视总台\")[中国气象局](https:\u002F\u002Fwww.cma.gov.cn\u002F \"中国气象局\")[国家行政学院](https:\u002F\u002Fwww.ccps.gov.cn\u002F \"国家行政学院\")[国家粮食和物资储备局](http:\u002F\u002Fwww.lswz.gov.cn\u002F \"国家粮食和物资储备局\")[国家能源局](http:\u002F\u002Fwww.nea.gov.cn\u002F \"国家能源局\")[国家数据局](javascript:void(0) \"国家数据局\")[国家国防科技工业局](https:\u002F\u002Fwww.sastind.gov.cn\u002F \"国家国防科技工业局\")[国家烟草专卖局](http:\u002F\u002Fwww.tobacco.gov.cn\u002Fgjyc\u002Findex.shtml \"国家烟草专卖局\")[国家移民管理局](https:\u002F\u002Fwww.nia.gov.cn\u002F \"国家移民管理局\")[国家林业和草原局](http:\u002F\u002Fwww.forestry.gov.cn\u002F \"国家林业和草原局\")[国家铁路局](http:\u002F\u002Fwww.nra.gov.cn\u002F \"国家铁路局\")[中国民用航空局](http:\u002F\u002Fwww.caac.gov.cn\u002Findex.html \"中国民用航空局\")[国家邮政局](https:\u002F\u002Fwww.spb.gov.cn\u002F \"国家邮政局\")[国家文物局](http:\u002F\u002Fwww.ncha.gov.cn\u002F \"国家文物局\")[国家中医药管理局](http:\u002F\u002Fwww.natcm.gov.cn\u002F \"国家中医药管理局\")[国家疾病预防控制局](javascript:void(0) \"国家疾病预防控制局\")[国家矿山安全监察局](https:\u002F\u002Fwww.chinamine-safety.gov.cn\u002F \"国家矿山安全监察局\")[国家消防救援局](https:\u002F\u002Fwww.119.gov.cn\u002F \"国家消防救援局\")[国家外汇管理局](http:\u002F\u002Fwww.safe.gov.cn\u002F \"国家外汇管理局\")[国家药品监督管理局](https:\u002F\u002Fwww.nmpa.gov.cn\u002F \"国家药品监督管理局\")\n\n[北京农业农村局](http:\u002F\u002Fnyncj.beijing.gov.cn\u002F \"北京农业农村局\")[天津农业农村委](http:\u002F\u002Fnync.tj.gov.cn\u002F \"天津农业农村委\")[河北农业农村厅](http:\u002F\u002Fnync.hebei.gov.cn\u002F \"河北农业农村厅\")[山西农业农村厅](http:\u002F\u002Fnynct.shanxi.gov.cn\u002F \"山西农业农村厅\")[内蒙古农牧厅](http:\u002F\u002Fnmt.nmg.gov.cn\u002F \"内蒙古农牧厅\")[辽宁农业农村厅](http:\u002F\u002Fnync.ln.gov.cn\u002F \"辽宁农业农村厅\")[吉林农业农村厅](http:\u002F\u002Fagri.jl.gov.cn\u002F \"吉林农业农村厅\")[吉林畜牧业管理局](http:\u002F\u002Fxmy.jl.gov.cn\u002F \"吉林畜牧业管理局\")[黑龙江农业农村厅](http:\u002F\u002Fnynct.hlj.gov.cn\u002F \"黑龙江农业农村厅\")[上海农业农村委](https:\u002F\u002Fnyncw.sh.gov.cn\u002F \"上海农业农村委\")[江苏农业农村厅](http:\u002F\u002Fnynct.jiangsu.gov.cn\u002F \"江苏农业农村厅\")[浙江农业农村厅](http:\u002F\u002Fnynct.zj.gov.cn\u002F \"浙江农业农村厅\")[安徽农业农村厅](http:\u002F\u002Fnync.ah.gov.cn\u002F \"安徽农业农村厅\")[福建农业农村厅](http:\u002F\u002Fnynct.fujian.gov.cn\u002F \"福建农业农村厅\")[江西农业农村厅](http:\u002F\u002Fnync.jiangxi.gov.cn\u002F \"江西农业农村厅\")[山东农业农村厅](http:\u002F\u002Fnync.shandong.gov.cn\u002F \"山东农业农村厅\")[河南农业农村厅](https:\u002F\u002Fnynct.henan.gov.cn\u002F \"河南农业农村厅\")[湖北农业农村厅](http:\u002F\u002Fnyt.hubei.gov.cn\u002F \"湖北农业农村厅\")[湖南农业农村厅](http:\u002F\u002Fagri.hunan.gov.cn\u002F?tdsourcetag=s_pcqq_aiomsg \"湖南农业农村厅\")[广东农业农村厅](http:\u002F\u002Fdara.gd.gov.cn\u002F \"广东农业农村厅\")[广西农业农村厅](http:\u002F\u002Fnynct.gxzf.gov.cn\u002F \"广西农业农村厅\")[海南农业农村厅](http:\u002F\u002Fagri.hainan.gov.cn\u002Fhnsnyt\u002F \"海南农业农村厅\")[重庆农业农村委](http:\u002F\u002Fnyncw.cq.gov.cn\u002F \"重庆农业农村委\")[四川农业农村厅](http:\u002F\u002Fnynct.sc.gov.cn\u002F \"四川农业农村厅\")[贵州农业农村厅](http:\u002F\u002Fnynct.guizhou.gov.cn\u002F \"贵州农业农村厅\")[云南农业农村厅](https:\u002F\u002Fnync.yn.gov.cn\u002F \"云南农业农村厅\")[西藏农业农村厅](http:\u002F\u002Fnynct.xizang.gov.cn\u002F \"西藏农业农村厅\")[陕西农业农村厅](http:\u002F\u002Fnynct.shaanxi.gov.cn\u002F \"陕西农业农村厅\")[甘肃农业农村厅](http:\u002F\u002Fnync.gansu.gov.cn\u002F \"甘肃农业农村厅\")[青海农业农村厅](http:\u002F\u002Fnynct.qinghai.gov.cn\u002F \"青海农业农村厅\")[宁夏农业农村厅](http:\u002F\u002Fnynct.nx.gov.cn\u002F \"宁夏农业农村厅\")[新疆农业农村厅](http:\u002F\u002Fnynct.xinjiang.gov.cn\u002F \"新疆农业农村厅\")[新疆兵团农业农村局](http:\u002F\u002Fnyj.xjbt.gov.cn\u002F \"新疆兵团农业农村局\")\n\n主办单位：中华人民共和国农业农村部\n\n承办单位：农业农村部信息中心\n\n网站识别码bm21000007[京ICP备05039419号-2](https:\u002F\u002Fbeian.miit.gov.cn\u002F)\n\n[![Image 9](https:\u002F\u002Fwww.moa.gov.cn\u002Fimages\u002Fbajgwa.png)京公网安备 11010502037559号](https:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11010502037559)\n\n[![Image 10](https:\u002F\u002Fwww.moa.gov.cn\u002Fimages\u002Fred.png)](https:\u002F\u002Fbszs.conac.cn\u002Fsitename?method=show&id=0BDDDA8ABE7648E9E053022819ACD6BC)\n\n*   [关于我们](https:\u002F\u002Fwww.moa.gov.cn\u002Fsy_23468\u002Fhomeinfo\u002Fgybz\u002F)\n*   |\n*   [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)[京公网安备 11010502037559号![Image 11](https:\u002F\u002Fwww.moa.gov.cn\u002Fimages\u002Fbajgwa.png)](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[![Image 12](https:\u002F\u002Fwww.moa.gov.cn\u002Fimages\u002Fjiucuo.png)](https:\u002F\u002Fzfwzgl.www.gov.cn\u002Fexposure\u002Fjiucuo.html?site_code=bm21000007&url=https%3A%2F%2Fwww.moa.gov.cn%2F)\n\n[按回车键在新窗口打开无障碍说明页面,按Alt+~键打开导盲模式。](javascript:void(0);)","农业农村部 2026 年 10 月 13 日 公告","2026-10-13T00:00:00Z","政策",10,false,87,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},24,22,16,15,1,"农业农村部公布第三批国家重点保护水生野生动物重要栖息地名录，将涠洲岛布氏鲸栖息地纳入保护，属全国性渔业资源保护政策，权威性与时效性俱佳。",[24],{"name":10,"url":6},[26,27,28,29,30],"野生动物保护","栖息地保护","涠洲岛","水生野生动物","渔业渔政",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"unclassified","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":43,"reason":44},[38],{"code":39,"score":21,"supported":14,"title":40,"abstract":41,"tags":42},"H6",[],[],[26],true,"缺少足够的主题证据",[46,47],"涠洲岛 布氏鲸 栖息地","国家重点保护水生野生动物 栖息地名录","涠洲岛布氏鲸栖息地-4846","2026-10-14T00:04:02.709921Z",{"total":51,"page":21,"page_size":51,"items":52},6,[53,136,199,270,358,428],{"id":54,"title":55,"url":56,"summary":57,"summary_zh":58,"content":8,"source_name":59,"source_url":56,"published_at":60,"category":61,"cover_url":8,"hotness":13,"is_selected":14,"score":62,"score_detail":63,"sources":69,"tags":71,"primary_topic":76,"secondary_topics":81,"classification":82,"search_phrases":112,"slug":115,"view_count":116,"doi":117,"paper":118,"created_at":135},5495,"Artificial Neural Network-Based Prediction and Mapping of Elephant Corridors in West Bengal Using Geospatial and Environmental Variables","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23496876","The fragmentation of forest habitats and increasing anthropogenic pressures have significantly altered elephant movementpatternsinWestBengal,India,resultinginanescalatinghuman-elephantconflict.Accurateidentification and mapping of elephant corridors are essential for landscape-level conservation planning and mitigation.Traditional corridor mapping methods, including expert-based delineation and least-cost path analyses, oftenstruggle to capture the complex and nonlinear relationships between environmental variables influencing elephant movement. This study proposes an Artificial Neural Network (ANN)-based framework to predict potential elephant corridors across West Bengal using remotely sensed and geographic information system (GIS) datasets. The predictor variables included forest cover, normalized difference vegetation index (NDVI), elevation, slope,proximity to water sources, distance from roads, railways, settlements, agricultural land, and historical elephant occurrence records. The ANN model was trained using known elephant movement locations and validated using independent datasets. The predicted suitable surface was integrated into a GIS environment to identify probable movement corridors and prioritize areas for conservation. The proposed approach demonstrates the ability of machine learning to improve corridor prediction compared with conventional GIS-based techniques and provides a decision support tool for forest managers and policymakers.","森林栖息地的破碎化和日益增加的人为压力显著改变了印度西孟加拉邦大象的活动模式，导致人象冲突不断加剧。准确识别和绘制大象廊道对于景观层面的保护规划和冲突缓解至关重要。传统的廊道制图方法，包括基于专家的 delineation（边界划定）和最小成本路径分析，往往难以捕捉影响大象活动的环境变量之间复杂的非线性关系。本研究提出了一种基于人工神经网络（Artificial Neural Network, ANN）的框架，利用遥感数据和地理信息系统（Geographic Information System, GIS）数据集预测西孟加拉邦潜在的大象廊道。预测变量包括森林覆盖、归一化植被指数（Normalized Difference Vegetation Index, NDVI）、海拔、坡度、距水源的邻近度、距道路、铁路、居民点、农田的距离以及历史大象出现记录。ANN模型利用已知的大象活动位置进行训练，并使用独立数据集进行验证。将预测得到的适宜性表面整合到GIS环境中，以识别可能的迁移廊道并确定保护优先区域。所提出的方法展示了机器学习相较于传统基于GIS的技术在改进廊道预测方面的能力，并为森林管理者和政策制定者提供了决策支持工具。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-20T00:00:00Z","论文",70,{"impact":64,"substance":65,"depth":66,"authority":64,"freshness":67,"relevant":21,"comment":68},12,20,17,9,"该研究用人工神经网络结合遥感与GIS预测大象迁徙走廊，方法新颖、数据扎实，对生态保护与乡村人兽冲突治理有参考价值，但属区域性研究，公共影响有限。",[70],{"name":59,"url":56},[72,73,74,26,75],"农业人工智能","遥感","GIS","人兽冲突",{"code":77,"slug":78,"name":79,"path":80,"parent_code":8},"I","digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",[],{"status":83,"locked":14,"version":34,"method":35,"evidence":84},"partial",{"candidates":85,"agricultural_evidence":43,"reason":111},[86,94,101,107],{"code":87,"score":13,"supported":43,"title":88,"abstract":89,"tags":93},"I2",[],[90,91,92],"机器学习","machine learning","decision support",[72],{"code":95,"score":13,"supported":43,"title":96,"abstract":97,"tags":100},"I4",[],[98,74,99],"地理信息","geographic information",[74],{"code":102,"score":103,"supported":43,"title":104,"abstract":105,"tags":106},"I3",4,[],[73],[73],{"code":39,"score":21,"supported":14,"title":108,"abstract":109,"tags":110},[],[],[26],"一级领域明确，二级方向需要细分",[113,114],"西孟加拉邦 大象走廊","人工神经网络 大象走廊","西孟加拉邦大象走廊-5495",0,"10.5281\u002Fzenodo.23496876",{"doi":117,"openalex_id":119,"authors":120,"venue":59,"cited_by_count":116,"oa_url":56,"card":127,"direction":133,"ingested_from":134},"W7222999966",[121,123,125],{"name":122,"orcid":8},"Bhutia Dechen Doma",{"name":124,"orcid":8},"Swarup Das",{"name":126,"orcid":8},"Mandal Rakesh Kumar",{"tldr":128,"method":129,"finding":130,"direction":131,"opportunity":132},"用人工神经网络结合遥感与GIS变量预测并制图西孟加拉邦大象迁徙廊道。","ANN模型，输入遥感与GIS环境变量及历史象群出现记录，GIS集成制图。","ANN能刻画环境变量非线性关系，廊道预测优于传统GIS方法，可作决策支持工具。","农业遥感与作物表型","可将ANN廊道预测与人类活动、农田冲突热点耦合，探索农业景观中野生动物通道与作物保护的协同规划。","农业人工智能与决策模型","openalex","2026-10-21T23:30:43.936453Z",{"id":137,"title":138,"url":139,"summary":140,"summary_zh":141,"content":8,"source_name":142,"source_url":139,"published_at":143,"category":61,"cover_url":8,"hotness":13,"is_selected":14,"score":144,"score_detail":145,"sources":148,"tags":150,"primary_topic":155,"secondary_topics":160,"classification":161,"search_phrases":174,"slug":177,"view_count":21,"doi":178,"paper":179,"created_at":198},4430,"Spatio temporal land use and land cover changes in a peri urban protected area of Kamrup Metropolitan District, Assam, India using geospatial techniques","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44415-026-00134-4","Protection from human- induced pressures is vital to the survival of peri-urban protected areas, particularly in fast-growing urban areas. This research focuses on land use and land cover change in the Amchang Wildlife Sanctuary located in peri-urban region of Guwahati city in Kamrup Metropolitan district, Assam, India over 30 years period (1995–2025). Multi-temporal Landsat imagery was classified using Random Forest analysis with the help of NDVI, NDWI, NDBI, and delineated seven LULC categories dense forest, moderately dense forest, open forest, agriculture, built-up, barren land, and water bodies, with an overall Accuracy 81.57% and Kappa coefficient of 0.78. Landscape metrics such as Shannon’s Diversity Index, Patch Count, Edge Length were calculated and integrated with the Thiel-Sen’s slope calculation and the Mann–Kendall to determine fragmentation and longer-term trend analysis. The results showed a Net change in Dense Forest decreased by 51.7% (− 4.28 sq km), and Water Bodies by 73.5% (− 0.19 sq km), area increased in Built Up by 37.6% (+ 2.95 sq km), Agriculture by + 6.8% (+ 0.50 sq km) and Barren land by 7.3% (+ 0.15 sq km), as well as a type of secondary succession within Moderately Dense Forest by 35.5% (+ 6.11 sq km). This study is distinctive by the integration of Random forest classification, landscape fragmentation metrics and non-parametric trend analysis to weigh long term ecosystem vulnerability within peri-urban protected areas. Additionally, by connecting ecological monitoring and Sustainable Development Goals (i.e., 11, 13, 15) it will provide an established methodology for conservation planning\u002Frestoration strategies and sustainable expansion of urban areas in biodiversity hotspots.","保护免受人为压力对于城郊保护区的存续至关重要，在快速扩张的城市区域尤为如此。本研究聚焦印度阿萨姆邦卡姆鲁普大都会区古瓦哈提市城郊地区阿姆昌野生动物保护区30年期间（1995—2025年）的土地利用与土地覆盖变化。研究利用多时相Landsat影像，借助NDVI、NDWI、NDBI进行随机森林（Random Forest）分类，划分出7类土地利用与土地覆盖类型：密林、中度密林、疏林、农业用地、建设用地、裸地和水体，总体精度为81.57%，Kappa系数为0.78。研究计算了香农多样性指数、斑块数量、边缘长度等景观指标，并将其与Thiel-Sen斜率估计和Mann-Kendall检验相结合，以确定破碎化程度并开展长期趋势分析。结果表明，密林净减少51.7%（−4.28平方公里），水体净减少73.5%（−0.19平方公里）；建设用地增加37.6%（+2.95平方公里），农业用地增加6.8%（+0.50平方公里），裸地增加7.3%（+0.15平方公里）；中度密林内部出现一种次生演替，增加35.5%（+6.11平方公里）。本研究的独特性在于整合随机森林分类、景观破碎化指标和非参数趋势分析，以评估城郊保护区的长期生态系统脆弱性。此外，通过将生态监测与可持续发展目标（即目标11、13、15）相联系，本研究将为生物多样性热点地区的保护规划\u002F恢复策略及城市可持续扩张提供一套成熟的方法论。","Discover Forests","2026-10-06T00:00:00Z",65,{"impact":146,"substance":65,"depth":66,"authority":64,"freshness":146,"relevant":21,"comment":147},8,"基于Landsat与随机森林的30年城郊保护区土地利用变化研究，方法整合与数据规模扎实，但属区域性案例，公共影响有限。",[149],{"name":142,"url":139},[151,152,153,26,154],"可持续发展","遥感监测","土地利用","生态脆弱性",{"code":39,"slug":156,"name":157,"path":158,"parent_code":159},"biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",[],{"status":162,"locked":14,"version":34,"method":35,"evidence":163},"classified",{"candidates":164,"agricultural_evidence":43},[165,170],{"code":39,"score":146,"supported":43,"title":166,"abstract":167,"tags":169},[],[168,156],"生物多样性",[153,26],{"code":102,"score":21,"supported":14,"title":171,"abstract":172,"tags":173},[],[],[152],[175,176],"Amchang Wildlife Sanctuary 土地利用","Assam 保护区 遥感","AmchangWildlifeSanctuary土地利用-4430","10.1007\u002Fs44415-026-00134-4",{"doi":178,"openalex_id":180,"authors":181,"venue":142,"cited_by_count":116,"oa_url":192,"card":193,"direction":131,"ingested_from":134},"W7220738321",[182,184,187,190],{"name":183,"orcid":8},"Trishna Changkakoti",{"name":185,"orcid":186},"Parimita Saikia","https:\u002F\u002Forcid.org\u002F0000-0001-9464-3450",{"name":188,"orcid":189},"Palme Borthakur","https:\u002F\u002Forcid.org\u002F0000-0002-0679-2040",{"name":191,"orcid":8},"Monshree Roy","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44415-026-00134-4.pdf",{"tldr":194,"method":195,"finding":196,"direction":131,"opportunity":197},"用遥感与景观指标分析印度阿萨姆城郊保护区30年土地利用变化与破碎化。","Landsat多时相影像、随机森林分类、NDVI\u002FNDWI\u002FNDBI、景观指标与","密林减少51.7%、水体减少73.5%，建设用地增37.6%，保护区破碎化加剧。","可将该遥感-景观-趋势集成框架迁移到中国城郊保护区的耕地撂荒与生态脆弱性监测。","2026-10-08T23:30:26.862434Z",{"id":200,"title":201,"url":202,"summary":203,"summary_zh":204,"content":8,"source_name":205,"source_url":202,"published_at":206,"category":61,"cover_url":8,"hotness":13,"is_selected":14,"score":207,"score_detail":208,"sources":212,"tags":214,"primary_topic":217,"secondary_topics":222,"classification":223,"search_phrases":239,"slug":242,"view_count":146,"doi":243,"paper":244,"created_at":269},3855,"Landscapes Change Dynamics and Patch Connectivity in the Chitwan–Parsa Complex, Nepal","https:\u002F\u002Fdoi.org\u002F10.2478\u002Fjlecol-2026-0040","Abstract Land-use and land-cover (LULC) changes can lead to various environmental consequences, such as soil degradation, reduced agricultural productivity, flood risks, and the loss and fragmentation of habitats. These alterations not only modify land cover patterns but also disrupt ecological connectivity, affecting species movement, gene flow, and the overall functionality of habitats. This study combines nine spectral indices (NDVI, EVI, GCI, SAVI, BSI, NDWI, MNDWI, NDSAI, and NDBI) and topographic variables (elevation and slope) across the Chitwan–Parsa complex (CPC) for LULC mapping and enhancing accuracy. This study revealed major transitions such as increase in built-up areas from 0.88 % to 3.41 %, increase in grassland from 2.08 % to 7.36 %, decline of cropland from 16.95 % to 8.97 %, decrease in forest cover from 69.07 % to 64.09 %, increase in sand gravel from 6.28 % to 13.19 %, and declined in water bodies from 4.56 % to 2.81 %. This indicates the pressure of urbanization, hydrological stress which reshape the landscape and potentially influencing habitat quality and connectivity in CPC. Furthermore, sixteen core areas are identified across CPC by using core mapper tool. Then, least cost path analysis was done between core habitats to understand habitat dynamics, identify critical corridors, and inform conservation strategies to sustain ecological connectivity. The patches on the eastern side of the complex shows better connectivity than the ones on the western side based on cost values. Patches 5, 6, 7, 8, 9, 10, 12, 14 and 16 emerge as the most connected indicating that they are highly linked to other patches and function as key hubs in the ecological network. The study underscores the need to restore riparian zones and wetlands, protect forest–grassland-water mosaics to sustain key species such as tiger ( Panthera tigris ), one-horned rhinoceros ( Rhinoceros unicornis ), elephant ( Elephas maximus ), and gaur ( Bos gaurus ).","土地利用与土地覆盖（LULC）变化可导致多种环境后果，如土壤退化、农业生产力下降、洪水风险以及栖息地的丧失与破碎化。这些变化不仅改变了土地覆盖格局，还破坏了生态连通性，影响物种迁移、基因流动以及栖息地的整体功能。本研究结合了九种光谱指数（NDVI、EVI、GCI、SAVI、BSI、NDWI、MNDWI、NDSAI和NDBI）与地形变量（海拔和坡度），应用于奇旺-帕尔萨复合体（CPC）的LULC制图并提高精度。研究揭示了主要的转变，如建成区面积从0.88%增至3.41%，草地从2.08%增至7.36%，耕地从16.95%降至8.97%，森林覆盖从69.07%降至64.09%，砂砾地从6.28%增至13.19%，水体从4.56%降至2.81%。这表明城市化压力和水文胁迫正在重塑景观，并可能影响CPC的栖息地质量和连通性。此外，利用核心制图工具在CPC内识别出十六个核心区域。随后，在核心栖息地之间进行了最小成本路径分析，以理解栖息地动态、识别关键廊道，并为维持生态连通性的保护策略提供依据。基于成本值，复合体东侧的斑块比西侧表现出更好的连通性。斑块5、6、7、8、9、10、12、14和16成为连通性最高的斑块，表明它们与其他斑块高度连接，在生态网络中发挥关键枢纽作用。本研究强调了恢复河岸带和湿地、保护森林-草地-水域镶嵌体的必要性，以维持虎（Panthera tigris）、独角犀（Rhinoceros unicornis）、象（Elephas maximus）和印度野牛（Bos gaurus）等关键物种的生存。","Journal of Landscape Ecology","2026-09-28T00:00:00Z",67,{"impact":146,"substance":209,"depth":66,"authority":210,"freshness":146,"relevant":21,"comment":211},21,13,"方法扎实、数据翔实的景观生态遥感论文，但属尼泊尔区域案例，与国内三农信息化关联间接，公共价值有限。",[213],{"name":205,"url":202},[152,153,215,27,216],"生态连通性","尼泊尔",{"code":218,"slug":219,"name":220,"path":221,"parent_code":159},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[],{"status":162,"locked":14,"version":34,"method":35,"evidence":224},{"candidates":225,"agricultural_evidence":43},[226,231,235],{"code":218,"score":51,"supported":43,"title":227,"abstract":228,"tags":230},[],[229,219],"土壤",[],{"code":39,"score":21,"supported":14,"title":232,"abstract":233,"tags":234},[],[],[153],{"code":102,"score":21,"supported":14,"title":236,"abstract":237,"tags":238},[],[],[152],[240,241],"Chitwan Parsa 景观连通性","尼泊尔 土地利用 遥感","ChitwanParsa景观连通性-3855","10.2478\u002Fjlecol-2026-0040",{"doi":243,"openalex_id":245,"authors":246,"venue":205,"cited_by_count":116,"oa_url":263,"card":264,"direction":131,"ingested_from":134},"W7214674109",[247,250,253,255,258,260],{"name":248,"orcid":249},"Anish Dhakal","https:\u002F\u002Forcid.org\u002F0000-0002-3287-6125",{"name":251,"orcid":252},"Sheila Ghimire","https:\u002F\u002Forcid.org\u002F0000-0002-9898-1550",{"name":254,"orcid":8},"Roshan Pokhrel",{"name":256,"orcid":257},"Aavas Pradhan","https:\u002F\u002Forcid.org\u002F0000-0002-3636-8515",{"name":259,"orcid":8},"Nirvika Sapkota",{"name":261,"orcid":262},"Dinesh Neupane","https:\u002F\u002Forcid.org\u002F0000-0002-2618-4130","https:\u002F\u002Freference-global.com\u002Fdownload\u002Farticle\u002F10.2478\u002Fjlecol-2026-0040.pdf",{"tldr":265,"method":266,"finding":267,"direction":131,"opportunity":268},"结合九种光谱指数与地形变量，分析尼泊尔奇旺-帕尔萨地区土地利用变化及栖息地连通性。","Landsat影像计算NDVI等9种光谱指数，结合高程坡度，用Core Mapp","建设用地与草地增加、耕地林地水体减少，东部连通性优于西部，识别出16个核心区及关键廊道。","可引入时序遥感与物种移动数据，量化土地利用变化对野生动物廊道功能的动态影响。","2026-09-30T23:30:32.767376Z",{"id":271,"title":272,"url":273,"summary":274,"summary_zh":275,"content":8,"source_name":276,"source_url":273,"published_at":277,"category":61,"cover_url":8,"hotness":278,"is_selected":14,"score":279,"score_detail":280,"sources":282,"tags":289,"primary_topic":293,"secondary_topics":297,"classification":298,"search_phrases":318,"slug":321,"view_count":314,"doi":322,"paper":323,"created_at":357},3552,"Evaluating the feeding habitat of the Asian elephant (Elephas maximus) using integrated field surveys and remote sensing","https:\u002F\u002Fdoi.org\u002F10.6084\u002Fm9.figshare.33995903","Conservation of Asian elephants in human-modified landscapes requires information on diet, forage availability, landscape change, and movement barriers. In Chunati Wildlife Sanctuary (CWS), Bangladesh, we reanalysed records from 187 dung piles and 791 vegetation plots, multi-temporal Landsat classifications, an exploratory railway-crossing inventory, and CCTV detections at a wildlife overpass. The dung-pile-by-taxon matrix contained 888 detections of 142 plant taxa from 49 families. Dung composition varied among sampled months (permutational multivariate analysis of variance [PERMANOVA], pseudo-F8,178 = 5.24, R2 = 0.191, p = .001) and forest beats (pseudo-F6,180 = 2.64, R2 = 0.081, p = .001), although dispersion differences require cautious interpretation. The 14 focal vegetation taxa also varied among months and beats, but effect sizes were small. Their relative abundance differed from dung-detection rankings, consistent with non-proportional resource use rather than a formal preference test. Across the 8,461.1-ha analytical landscape, mapped forest declined by 376.6 ha from 2000 to 2022. Agricultural producer’s accuracy was 45.3%, so agriculture-fallow change remains uncertain. Sixteen potential railway-crossing locations were catalogued, and 50 CCTV detections confirmed overpass use, without estimating crossing probability or mitigation effectiveness. These findings support standardized monitoring of forage composition, forest change, and railway hotspots.","在人类改造景观中保护亚洲象需要掌握食性、饲草可获得性、景观变化及移动障碍等信息。在孟加拉国春纳提野生动物保护区（Chunati Wildlife Sanctuary, CWS），我们重新分析了187处粪便堆和791个植被样方的记录、多时相Landsat分类、铁路穿越点探索性清单以及野生动物天桥上闭路电视（CCTV）的检测数据。粪便堆-分类单元矩阵包含来自49科142个植物分类单元的888次检测。粪便组成在采样月份间存在差异（置换多元方差分析[PERMANOVA]，伪F8,178 = 5.24，R2 = 0.191，p = .001），在森林分区间也存在差异（伪F6,180 = 2.64，R2 = 0.081，p = .001），但离散度差异要求谨慎解读。14个重点植被分类单元同样在月份和分区之间存在差异，但效应量较小。其相对丰度与粪便检测排序不同，这与非比例性资源利用一致，而非正式的偏好检验。在8,461.1公顷的分析景观中，2000年至2022年间制图森林面积减少了376.6公顷。农业用地生产者精度为45.3%，因此农业-休耕地的变化仍不确定。共编目了16个潜在铁路穿越点，50次CCTV检测确认了天桥的使用，但未估算穿越概率或缓解措施有效性。这些发现支持对饲草组成、森林变化和铁路热点进行标准化监测。","Figshare","2026-09-25T00:00:00Z",40,60,{"impact":146,"substance":65,"depth":66,"authority":51,"freshness":67,"relevant":21,"comment":281},"论文以遥感与野外调查结合评估亚洲象觅食栖息地，方法扎实但属国际保护生态研究，与国内三农信息化关联较弱，公共价值有限。",[283,284,287],{"name":276,"url":273},{"name":285,"url":286},"Biodiversity","https:\u002F\u002Fdoi.org\u002F10.1080\u002F14888386.2026.2720916",{"name":276,"url":288},"https:\u002F\u002Fdoi.org\u002F10.6084\u002Fm9.figshare.33995903.v1",[152,26,290,291,292],"土地利用变化","亚洲象","栖息地评估",{"code":102,"slug":294,"name":295,"path":296,"parent_code":77},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",[],{"status":162,"locked":14,"version":34,"method":35,"evidence":299},{"candidates":300,"agricultural_evidence":43},[301,306,313],{"code":102,"score":67,"supported":43,"title":302,"abstract":304,"tags":305},[303],"remote sensing",[],[152],{"code":307,"score":51,"supported":43,"title":308,"abstract":309,"tags":312},"C4",[],[310,311],"饲草","forage",[],{"code":39,"score":314,"supported":14,"title":315,"abstract":316,"tags":317},2,[],[],[290,26],[319,320],"Chunati Wildlife Sanctuary 亚洲象","Landsat 遥感 栖息地 亚洲象","ChunatiWildlifeSanctuary亚洲象-3552","10.6084\u002Fm9.figshare.33995903",{"doi":322,"openalex_id":324,"authors":325,"venue":276,"cited_by_count":116,"oa_url":273,"card":352,"direction":131,"ingested_from":134},"W7214307711",[326,328,331,334,336,338,340,342,344,346,348,350],{"name":327,"orcid":8},"A. H. M. Raihan Sarker",{"name":329,"orcid":330},"Eivin Røskaft","https:\u002F\u002Forcid.org\u002F0000-0003-0262-8443",{"name":332,"orcid":333},"Umme Humayra","https:\u002F\u002Forcid.org\u002F0009-0005-2446-3506",{"name":335,"orcid":8},"Mohammad Shawkat Hossain",{"name":337,"orcid":8},"Sayeed Mehmood",{"name":339,"orcid":8},"Biswajit Nath",{"name":341,"orcid":8},"Paul Kvinta",{"name":343,"orcid":8},"Mohammad Abdul Motaleb",{"name":345,"orcid":8},"A. N. M. Yasin Newaz",{"name":347,"orcid":8},"Md. Aktar Hossain",{"name":349,"orcid":8},"Mohammad Morshedul Hoque",{"name":351,"orcid":8},"Nishi Chakma",{"tldr":353,"method":354,"finding":355,"direction":131,"opportunity":356},"结合粪便、植被样方、遥感和红外相机评估孟加拉亚洲象取食栖息地变化。","187份粪便、791个植被样方、Landsat时序分类与CCTV监测。","象食性随月份和林班变化，森林22年减少376.6公顷，铁路交叉点16处。","可结合高精度遥感与象食性数据，量化农业-林地变化对取食栖息地的影响。","2026-09-26T23:30:29.633263Z",{"id":359,"title":360,"url":361,"summary":362,"summary_zh":363,"content":8,"source_name":364,"source_url":361,"published_at":365,"category":61,"cover_url":8,"hotness":13,"is_selected":14,"score":116,"score_detail":366,"sources":368,"tags":370,"primary_topic":8,"secondary_topics":375,"classification":376,"search_phrases":402,"slug":405,"view_count":21,"doi":406,"paper":407,"created_at":427},2418,"Artificial Intelligence-Driven Anti-Poaching Surveillance Systems: A Review of Advances, Challenges, and Future Directions","https:\u002F\u002Fdoi.org\u002F10.14445\u002F23488549\u002Fijece-v13i8p103","The UN Environment Programme reports an average 69% decline in wildlife population since 1970, with around 4000 species illegally poached, trafficked, and traded globally. The World Wildlife Crime Report shows a significant population revival for certain species, but overall protection remains inadequate. The 5-step approach to understanding wildlife decline can improve methods. Emerging smart technologies, such as computer vision, IoT systems, and AI, can help manage wildlife populations and prevent poaching. Drones, bio-loggers, camera traps, and GPS collars provide real-time data for wildlife monitoring and tracking. Unmanned Aerial Vehicles (UAVs) have also shown promise in wildlife welfare. This article aims to analyze the decline of wildlife populations, study smart technologies for anti-poaching efforts, and evaluate emerging technology-driven solutions to traditional wildlife welfare challenges. Human-induced factors like hunting, poaching, pollution, and habitat loss have compromised biodiversity. Poaching has led to population reduction and ecological imbalance. Traditional conservation practices have failed to revive wildlife populations. Integrating smart technologies, IoT, AI, and predictive analysis can help prevent poaching and promote ecological balance.","联合国环境规划署报告称，自1970年以来，野生动物种群平均减少了69%，全球约有4000个物种遭到非法偷猎、贩运和交易。《世界野生动物犯罪报告》显示，某些物种种群显著恢复，但总体保护仍然不足。理解野生动物减少的5步方法可以改进相关措施。新兴智能技术，如计算机视觉、物联网系统和人工智能，有助于管理野生动物种群并防止偷猎。无人机、生物记录器、相机陷阱和GPS项圈为野生动物监测和追踪提供实时数据。无人驾驶飞行器（UAVs）在野生动物福利方面也展现出前景。本文旨在分析野生动物种群的减少，研究反偷猎的智能技术，并评估新兴技术驱动的解决方案以应对传统野生动物福利挑战。狩猎、偷猎、污染和栖息地丧失等人为因素破坏了生物多样性。偷猎导致种群减少和生态失衡。传统保护实践未能恢复野生动物种群。整合智能技术、物联网、人工智能和预测分析有助于防止偷猎并促进生态平衡。","International Journal of Electronics and Communication Engineering","2026-09-11T00:00:00Z",{"impact":116,"substance":116,"depth":116,"authority":116,"freshness":116,"relevant":116,"comment":367},"主题为野生动物反盗猎智能监测，属生态保护领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[369],{"name":364,"url":361},[371,372,373,26,374],"计算机视觉","物联网","无人机遥感","反盗猎监测",[],{"status":377,"locked":14,"version":34,"method":35,"evidence":378},"needs_review",{"candidates":379,"agricultural_evidence":14,"reason":401},[380,386,391,397],{"code":87,"score":20,"supported":43,"title":381,"abstract":383,"tags":385},[382],"artificial intelligence",[371,384],"computer vision",[371],{"code":39,"score":387,"supported":43,"title":388,"abstract":389,"tags":390},7,[],[168,156],[26],{"code":392,"score":387,"supported":43,"title":393,"abstract":394,"tags":396},"I5",[],[372,395],"IoT",[372],{"code":102,"score":21,"supported":14,"title":398,"abstract":399,"tags":400},[],[],[373],"农业相关性需要复核",[403,404],"野生动物保护 反盗猎监测 无人机遥感 计算机视觉","野生动物保护 反盗猎监测","野生动物保护反盗猎监测无人机遥感计算机视觉-2418","10.14445\u002F23488549\u002Fijece-v13i8p103",{"doi":406,"openalex_id":408,"authors":409,"venue":364,"cited_by_count":116,"oa_url":420,"card":421,"direction":425,"ingested_from":134},"W7212319763",[410,412,414,416,418],{"name":411,"orcid":8},"Rohit Samkaria",{"name":413,"orcid":8},"Rajesh Singh",{"name":415,"orcid":8},"Anita Gehlot",{"name":417,"orcid":8},"Charvi Joshi",{"name":419,"orcid":8},"Rahul Mahala","https:\u002F\u002Fwww.internationaljournalssrg.org\u002F..\u002FIJECE\u002F2026\u002FVolume13-Issue8\u002FIJECE-V13I8P103.pdf",{"tldr":422,"method":423,"finding":424,"direction":425,"opportunity":426},"综述AI、物联网与无人机等智能技术在反盗猎监测中的进展、挑战与未来方向。","综述计算机视觉、IoT、无人机、相机陷阱、GPS项圈等实时监测技术。","传统保护措施失效，AI与IoT融合可有效预防盗猎并促进生态平衡。","智慧农业 \u002F 农业物联网","可探索AI预测模型与多源传感数据融合在反盗猎实时预警中的落地验证。","2026-09-14T23:30:12.295479Z",{"id":429,"title":430,"url":431,"summary":432,"summary_zh":433,"content":8,"source_name":434,"source_url":431,"published_at":435,"category":61,"cover_url":8,"hotness":13,"is_selected":14,"score":116,"score_detail":436,"sources":438,"tags":440,"primary_topic":441,"secondary_topics":442,"classification":443,"search_phrases":461,"slug":464,"view_count":21,"doi":465,"paper":466,"created_at":489},2061,"An Integrated Assessment of Anthropogenic and Ecological Threats to Pangolin Survival in Takamanda National Park, Southwest Region of Cameroon","https:\u002F\u002Fdoi.org\u002F10.54536\u002Fjwc.v2i1.8266","Pangolins are the world’s most trafficked wild mammals, yet cryptic behaviours hinder the localised, empirical data necessary for effective conservation management. This study provides an integrated assessment of ecological and anthropogenic threats facing three pangolin species (Phataginus tricuspis, P. tetradactyla, and Smutsia gigantea) within Takamanda National Park, Cameroon. Utilizing a mixed-methods approach, we triangulated decades of remote sensing data with local ecological knowledge (LEK) and focus group datasets. Land use\u002Fland cover analysis revealed severe habitat fragmentation, with critical dense forest cover declining by 10.34% (6890.83\u002Fha) between 2013 and 2023, driven primarily by inward agricultural encroachment from enclave villages. Logistic regression models confirmed intense pangolin avoidance behaviour toward human activity, revealing powerful deterrent relationships with bush huts (OR = 0.049, p = 0.003) and wire snares (OR = 0.441, p = 0.001). Socio-economic profiles identified pervasive local consumption 80% of respondents have consumed pangolin meat and acute poverty (88.7%) fuelling a highly commercialized bushmeat trade, alongside an active, transnational scale trafficking pipeline driven by foreign traders (5.3%). This immediate hunting pressure is severely compounded by governance deficits arising from the nearly a decade long regional Anglophone Crisis, zero baseline cultural taboos protecting the species, and critical biological misconceptions regarding reproductive rates in high-encroachment zones. Eventually, 28.6% of communities attribute perceived declines in poaching strictly to species scarcity. Reversing this trend requires an immediate transition from reactive enforcement to multi-faceted, community-led management that pairs customary legal integration with sustainable cocoa-livelihood interventions.","穿山甲是全球被贩运最多的野生哺乳动物，但其隐秘的行为习性阻碍了有效保护管理所需的本地化实证数据的获取。本研究对喀麦隆塔卡曼达国家公园内三种穿山甲（Phataginus tricuspis、P. tetradactyla和Smutsia gigantea）所面临的生态与人为威胁进行了综合评估。采用混合方法，我们将数十年遥感数据与当地生态知识（LEK）及焦点小组数据集进行了三角互证。土地利用\u002F土地覆盖分析揭示了严重的栖息地破碎化，2013年至2023年间关键密林覆盖面积减少了10.34%（6890.83公顷），主要驱动因素为飞地村庄的农业内侵。逻辑回归模型证实穿山甲对人类活动具有强烈的回避行为，与丛林窝棚（OR = 0.049，p = 0.003）和铁丝套索（OR = 0.441，p = 0.001）之间存在显著的威慑关系。社会经济概况调查发现，当地普遍存在穿山甲肉消费现象——80%的受访者曾食用穿山甲肉——以及极端贫困（88.7%）推动了高度商业化的丛林肉贸易，同时存在由外国贸易商（5.3%）驱动的活跃的跨国规模贩运链条。这一直接的狩猎压力因治理缺陷而严重加剧，这些缺陷源于近十年之久的地区英语危机、保护该物种的基线文化禁忌为零，以及高侵占区域内关于繁殖率的严重生物学误解。最终，28.6%的社区将偷猎减少严格归因于物种稀缺。扭转这一趋势需要立即从被动执法转向多方面的、社区主导的管理模式，将习惯法整合与可持续可可生计干预相结合。","Journal of Wildlife and Conservation","2026-09-09T00:00:00Z",{"impact":116,"substance":116,"depth":116,"authority":116,"freshness":116,"relevant":116,"comment":437},"喀麦隆穿山甲保护研究，属野生动物保护与生态遥感领域，与三农、农业信息化、智慧农业主题无直接关联，不建议进入每日精选。",[439],{"name":434,"url":431},[168,152,26],{"code":102,"slug":294,"name":295,"path":296,"parent_code":77},[],{"status":162,"locked":14,"version":34,"method":35,"evidence":444},{"candidates":445,"agricultural_evidence":43},[446,450,457],{"code":102,"score":387,"supported":43,"title":447,"abstract":448,"tags":449},[],[73,303],[152],{"code":451,"score":452,"supported":43,"title":453,"abstract":454,"tags":456},"B3",3,[],[455],"可可",[],{"code":39,"score":314,"supported":14,"title":458,"abstract":459,"tags":460},[],[],[168,26],[462,463],"野生动物保护 生物多样性 遥感监测","野生动物保护 生物多样性","野生动物保护生物多样性遥感监测-2061","10.54536\u002Fjwc.v2i1.8266",{"doi":465,"openalex_id":467,"authors":468,"venue":434,"cited_by_count":116,"oa_url":431,"card":484,"direction":131,"ingested_from":134},"W7212081578",[469,471,474,476,478,481],{"name":470,"orcid":8},"Kirensky Jerry Mbi",{"name":472,"orcid":473},"Melle Maurice","https:\u002F\u002Forcid.org\u002F0000-0002-3700-2400",{"name":475,"orcid":8},"Longonje Simon Ngomba",{"name":477,"orcid":8},"Athanasius Fuashi Nkwatoh",{"name":479,"orcid":480},"Guilen-Noel Nghokapin Tataw","https:\u002F\u002Forcid.org\u002F0009-0008-2878-5328",{"name":482,"orcid":483},"Mukete Beckline","https:\u002F\u002Forcid.org\u002F0000-0002-8344-4015",{"tldr":485,"method":486,"finding":487,"direction":131,"opportunity":488},"综合遥感、地方知识与焦点小组，评估喀麦隆Takamanda国家公园三种穿山甲面临的生态与人为威胁。","混合方法：数十年遥感土地利用数据、地方生态知识（LEK）与焦点小组、逻辑回归模型","2013-2023年密林减少10.34%，人类活动（窝棚、铁丝套）显著驱避穿山甲，贫困与消费需求驱动","可延伸研究：将遥感栖息地破碎化与社区生计干预结合，构建穿山甲保护的空间决策支持系统。","2026-09-10T23:30:27.991141Z"]