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<p>Agricultural land abandonment has emerged as a globally significant land-use change that poses complex socioecological challenges. The phenomenon is driven by multiple variables, and comprehensive analysis is required to understand its patterns and implications. In the present study, bibliometric analysis was conducted using R software packages (bibliometrix and biblioshiny) to assess thematic trends, intellectual structure, and future trajectories. A total of 491 Scopus-indexed articles on agricultural land abandonment, published between 1991 and 2024, were included in the analysis. The results reveal a marked increase in this type of literature since the 2000&#xa0;s, and the focus on keywords such as agricultural land, biodiversity, climate change, and ecosystem services emphasizes the interdisciplinary nature of the field. Emerging trends highlight the increasing use of advanced remote sensing and machine learning technologies for detecting and monitoring abandonment dynamics. The findings map key shifts in agricultural land abandonment research and underscore the critical role of interdisciplinary collaboration and technological advancements in addressing this pressing environmental issue. Based on these insights, key future research directions are identified.</p>

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Identifying the factors involved in agricultural land abandonment: findings from a bibliometric analysis

  • 期刊论文

  • 发表日期：

    2026年8月1日

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  • Fernando González,
  • Fabián Reyes-Bueno,
  • David Miranda

摘要

Agricultural land abandonment has emerged as a globally significant land-use change that poses complex socioecological challenges. The phenomenon is driven by multiple variables, and comprehensive analysis is required to understand its patterns and implications. In the present study, bibliometric analysis was conducted using R software packages (bibliometrix and biblioshiny) to assess thematic trends, intellectual structure, and future trajectories. A total of 491 Scopus-indexed articles on agricultural land abandonment, published between 1991 and 2024, were included in the analysis. The results reveal a marked increase in this type of literature since the 2000 s, and the focus on keywords such as agricultural land, biodiversity, climate change, and ecosystem services emphasizes the interdisciplinary nature of the field. Emerging trends highlight the increasing use of advanced remote sensing and machine learning technologies for detecting and monitoring abandonment dynamics. The findings map key shifts in agricultural land abandonment research and underscore the critical role of interdisciplinary collaboration and technological advancements in addressing this pressing environmental issue. Based on these insights, key future research directions are identified.