全球农业的增量和转型气候变化适应因素:使用自然语言处理进行比较分析
Sofia Gil-Clavel1, Thorid Wagenblast1, Tatiana Filatova1
1Department of Multi-Actor Systems, Faculty of Technology, Policy, and Management, Delft University of Technology, Jaffalaan, Delft, The Netherlands.
PloS one
|March 19, 2025
概括
农民需要增量和转型适应战略来应对气候变化. 诸如适应能力和信息获取等因素推动了转型适应,而融资和基础设施获取在全球范围内各不相同.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 社会科学 社会科学 社会科学
背景情况:
- 气候变化对全球农业构成重大风险,需要农民进行适应.
- 现有的研究往往侧重于定量数据,忽视了对农民适应策略的定性见解.
- 一个全面的理解需要整合农民对气候变化适应的定量和定性发现.
研究的目的:
- 使用定量和定性研究对影响农民适应气候变化的因素进行比较分析.
- 调查增量和转型适应策略之间的适应因子的差异.
- 检查影响全球不同地区农民适应因素的区域差异.
主要方法:
- 利用自然语言处理 (NLP) 和通用线性模型进行比较分析.
- 从Scopus获取的定量和定性出版物中提取的元数据和关联.
- 分析了一个衍生数据库,重点关注农民的气候变化适应.
主要成果:
- 适应能力和获取信息/技术的机会与转型适应相比,与增量适应更为密切相关.
- 高收入国家的农民更容易获得融资/收入和基础设施.
- 低收入和中等收入国家的农民在获得必要的适应资源方面面临更大的障碍.
结论:
- 整合定性和定量研究提供了对农民适应机制的更全面的了解.
- 转型适应受到适应能力和技术准入的重大影响.
- 解决金融,收入和基础设施方面的全球差异对于公平地让农民适应气候变化至关重要.
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