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气候智慧型农业研究: 热点、趋势和展望

潘友菊 徐玉婷 於冉 徐国良 周艳 李英妮

潘友菊, 徐玉婷, 於冉, 徐国良, 周艳, 李英妮. 气候智慧型农业研究: 热点、趋势和展望[J]. 中国生态农业学报 (中英文), 2023, 31(1): 136−148 doi: 10.12357/cjea.20220467
引用本文: 潘友菊, 徐玉婷, 於冉, 徐国良, 周艳, 李英妮. 气候智慧型农业研究: 热点、趋势和展望[J]. 中国生态农业学报 (中英文), 2023, 31(1): 136−148 doi: 10.12357/cjea.20220467
PAN Y J, XU Y T, YU R, XU G L, ZHOU Y, LI Y N. Climate-smart agriculture research: hotspots, trends, and prospects[J]. Chinese Journal of Eco-Agriculture, 2023, 31(1): 136−148 doi: 10.12357/cjea.20220467
Citation: PAN Y J, XU Y T, YU R, XU G L, ZHOU Y, LI Y N. Climate-smart agriculture research: hotspots, trends, and prospects[J]. Chinese Journal of Eco-Agriculture, 2023, 31(1): 136−148 doi: 10.12357/cjea.20220467

气候智慧型农业研究: 热点、趋势和展望

doi: 10.12357/cjea.20220467
基金项目: 国家自然科学基金项目(41871180)资助
详细信息
    作者简介:

    潘友菊, 主要研究方向为土地利用与农户行为。E-mail: panyj_1997@163.com

    通讯作者:

    徐玉婷, 主要研究方向为土地经济管理与土地政策研究。E-mail: 18900531575@163.com

  • 中图分类号: S533

Climate-smart agriculture research: hotspots, trends, and prospects

Funds: This study was supported by the National Natural Science Foundation of China (41871180).
More Information
  • 摘要: 气候智慧型农业(climate-smart agriculture, CSA)作为应对气候变化和粮食安全双挑战的高潜力农业系统解决方案, 一经提出就受到了国际各界的高度重视, 而中国的CSA研究项目进展缓慢, 且尚未引起学术界的广泛关注。本研究借助CiteSpace (5.8.R3)软件, 选取Web of Science核心数据集, 对2010—2021年的国际CSA研究文献进行分析, 梳理了国外研究热点与趋势变化, 并提出新的展望思考, 为我国CSA发展提供理论和实践支撑。研究结果表明: 1) CSA已形成多维度平衡农业与气候变化的完整概念框架; 2) CSA与可持续集约化、智慧农业、保护性农业等研究交织融合发展, 研究热点围绕着生产力、适应、缓解这“3个支柱”展开; 3) CSA研究趋势有泛化倾向, 表现在研究区域转向发展中国家, 研究对象注重多目标, 研究内容涉及多领域。最后, 对CSA的未来研究趋势进行展望, 将更关注其内涵探索、实施框架制定、脆弱群体需求、跨学科合作和农业转型等方面。此外, 本文强调, CSA作为应对气候变化的农业发展新模式, 其理论框架和实践技术对中国农业转型具有理论和实践的双重意义, 其在中国的应用与适应发展是一个亟待开拓探究和富有挑战的领域。
  • 图  1  气候智慧型农业的概念框架与3个目标

    Figure  1.  A conceptual framework and three goals for climate-smart agriculture (CSA)

    图  2  2010—2021年CiteSpace获取有关气候智慧型农业文献数量及时间分布

    Figure  2.  Number and time distribution of published paper about climate-smart agriculture (CSA) in CiteSpace from 2010 to 2021

    图  3  2010—2021年气候智慧型农业研究文献主要学科分布

    Figure  3.  Main subjects distribution of climate-smart agriculture (CSA) research literatures from 2010 to 2021

    图  4  2010—2021年气候智慧农业关键词聚类分析

    Figure  4.  2010−2021 climate-smart agriculture (CSA) keywords cluster analysis

    图  5  不同农业概念之间的关系

    Figure  5.  Relationship between different agricultural concepts

    图  6  2010—2021年气候智慧型农业研究关键词冲积图

    Figure  6.  Climate-smart agriculture (CSA) research keyword impact map for 2010−2021

    图  7  气候智慧型农业的研究展望

    SI表示可持续集约化; SA表示智慧农业; CA表示保护性农业。SI stands for sustainable intensification; SA stands for smart agriculture; CA stands for conservation agriculture.

    Figure  7.  Research prospects for climate-smart agriculture (CSA)

    表  1  Web of Science数据库中气候智慧型农业研究排名前5位学科分布情况

    Table  1.   Distribution of top 5 subjects in climate-smart agriculture (CSA) research ranking in Web of Science database

    序号
    Serial number
    学科领域
    Academic area
    学科类别
    Subject category
    频率
    Frequency
    中心性
    Centrality
    1环境科学与生态学 Environmental sciences and ecology理学 Science2970.16
    2农学 Agriculture农学 Agronomy2531.22
    3环境科学 Environment sciences理学 Science2090.24
    4环境研究 Environment studies理学 Science1280.06
    5科学与技术-其他主题 Science and technology-other topics理学 Science1230.09
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-06-14
  • 录用日期:  2022-08-26
  • 修回日期:  2022-07-29
  • 网络出版日期:  2022-08-26
  • 刊出日期:  2023-01-17

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