{
  "abstract": "目的提升农业水资源效率是保障长江流域粮食安全、推动农业绿色转型与水土保持高质量发展的关键。从时空格局、空间关联网络与时空异质性视角，揭示农业水资源效率分异特征及驱动因素，为流域农业节水、水土流失防控与水资源协同配置提供科学依据。方法以长江流域6个粮食主产省的64个地级市2014—2023年面板数据为样本，采用超效率Super-SBM模型对农业水资源效率进行测算，运用修正引力模型与社会网络分析刻画有向非对称空间关联结构，通过时空地理加权回归识别影响因素的时空非平稳性。结果1）农业水资源效率平均值由0.529升至0.801，呈“上游>下游>中游”格局，高效率集聚于四川盆地与下游沿江平原，低效率集中于中游山地丘陵区，与水土流失高风险区高度重叠。2）空间关联网络密度由0.105降至0.097，网络等级度下降、网络效率上升，结构趋于扁平化与多中心化，徐州、合肥为核心枢纽，怀化、娄底、池州等长期处于边缘。3）各影响因素存在明显的时空异质性，回归结果均通过5%显著性水平检验。其中年降雨量、农田有效灌溉率回归系数整体呈负向效应，人均GDP、农作物种植结构、人口素质和财政支农回归系数呈正向驱动。结论长江流域农业水资源效率持续提升但区域分化突出，空间网络呈“核心-边缘”结构，中游山区为水资源效率与水土保持双重短板区。未来应强化中游水土保持与节水改造协同，提升边缘城市网络嵌入能力，推动流域水资源高效协同利用。",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "name": "朱前涛"
    },
    {
      "name": "刘人宁"
    },
    {
      "name": "杨荣"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3fprg1fn3s97k.bib",
  "cited_by": 0,
  "doi": null,
  "fulltext_url": "http://www.stbcxb.com.cn/zh/article/doi/10.13870/j.cnki.stbcxb.2026.05.029/",
  "id": "3fprg1fn3s97k",
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    "1009-2242"
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  "landing_url": "http://www.stbcxb.com.cn/zh/article/doi/10.13870/j.cnki.stbcxb.2026.05.029/",
  "language": "zh",
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
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      "lcc",
      "GE1-350"
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      "lcc",
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  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-24",
  "publisher": "Editorial Department of Journal of Soil and Water Conservation",
  "ris": "https://research.draconitic.com/paper/3fprg1fn3s97k.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:44:46Z",
      "native_id": "804919e85f81448680d890d67736aa1d",
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      "url": "http://www.stbcxb.com.cn/zh/article/doi/10.13870/j.cnki.stbcxb.2026.05.029/"
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  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "lcc:GE1-350",
      "subfield": "environmental-science"
    }
  ],
  "title": "基于Super-SBM与GTWR的长江流域农业水资源效率时空格局、空间关联网络及驱动因素",
  "title_text": "基于Super-SBM与GTWR的长江流域农业水资源效率时空格局、空间关联网络及驱动因素",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:44:46Z",
  "url": "https://research.draconitic.com/paper/3fprg1fn3s97k",
  "venue": "Shuitu Baochi Xuebao",
  "versions": []
}