人口变化,群体间接触和环境条件推动了语言的灭绝和多样化
Marco Tulio Pacheco Coelho1, Hannah J Haynie2, Claire Bowern3
1Swiss Federal Institute for Forest Snow and Landscape Research WSL , Birmensdorf, Zurich, Switzerland.
Proceedings. Biological sciences
|January 27, 2026
概括
这项研究使用计算机模型来理解语言的多样性. 环境和社会因素,人口规模限制和随机的人口变化显著影响一个地区的语言数量.
科学领域:
- 计算语言学计算语言学
- 历史语言学的语言学.
- 空间建模 空间建模
背景情况:
- 语言的丰富性在地理上有所不同,受到社会,环境,地理和人口因素的影响.
- 以前的研究依赖于相关性和静止假设,限制了对因果机制和空间变化的理解.
- 语言丰富模式的因果驱动因素仍然不完全理解.
研究的目的:
- 研究语言丰富性的空间变化背后的因果机制.
- 用基于过程的空间显式随机模型来模拟语言动态.
- 评估不同的模拟过程如何复制北美观察到的语言丰富性模式.
主要方法:
- 开发了基于过程的空间显式随机模型.
- 模拟语言的出现,扩张,收缩,碎片化和灭绝.
- 多种模型参数来评估北美语言丰富模式的复制.
主要成果:
- 纳入人口密度的环境/社会约束,密度依赖的随机冲击和频繁的负冲击的模型最能解释语言丰富性的空间变化.
- 语言多样化源于人口分裂 (大小限制) 和范围碎片化 (收缩/扩张驱动的接触).
- 环境和社会条件,群体规模的限制,接触结果和人口统计是语言丰富的关键驱动因素.
结论:
- 语言丰富性的空间变化在很大程度上是由环境,社会和人口统计过程的结合形成的.
- 随机的人口动态和对群体大小的限制在语言多样化和维护中起着至关重要的作用.
- 该研究提供了支持将生态,社会和人口因素与语言多样性联系起来的理论的证据.
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