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高校地质学报 ›› 2026, Vol. 32 ›› Issue (02): 225-243.DOI: 10.16108/j.issn1006-7493.2025031

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生态模型在深时古植物地理重建中的应用

李泰然   

  1. 南京大学 地球科学与工程学院,南京 210023
  • 出版日期:2026-04-20 发布日期:2026-04-20

Application of Ecological Modeling in Deep-time Paleophytogeography Reconstruction

LI Tairan   

  1. School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
  • Online:2026-04-20 Published:2026-04-20

摘要: 植物作为陆地生态系统重要组成部分,在深时地球表面的时空分布研究为揭示陆地生态系统演化规律提供了关键窗
口。通过解析古植被对生态环境变化的响应过程,不仅能够阐明区域性植物群落的动态演化规律,更有助于重建地质历史时期的整个陆地生态系统的结构和演变机制。基于植物性状、习性以及分布受何种生态因素影响解析的生态模型构建,具有研究精度高、呈现效果好和易于使用的优点,在深时古植物地理重建中发挥了重要作用。文章重点介绍了三种典型的生态模型:Biome(生物群系)模型、SEG(孢型生态群)模型、Eco-Plant模型。并以长兴期—印度期的植物大化石和孢粉化石作为实例,应用Eco-Plant模型系统阐明植被生态环境与气候演变的关系。最后,针对当前深时古植物地理重建研究中存在的问题,提出多源数据整合的解决方法,以进一步推进生态模型在深时古植物地理重建中的应用。

关键词: 古植物地理学, 古生态学, 生态模型, 长兴期—印度期

Abstract: As crucial components of terrestrial ecosystems, plants provide a critical window for revealing the evolutionary patterns of terrestrial ecosystems through studies of their spatiotemporal distribution on deep-time Earth’s surfaces. By analyzing the response of paleoflora to ecological environmental changes, we can not only elucidate the dynamic evolutionary patterns of regional plant communities but also reconstruct the structure and evolutionary mechanisms of entire terrestrial ecosystems during geological history. The construction of ecological models, based on analyzing how plant traits, habits, and distributions are influenced by ecological factors, demonstrates advantages of high research precision, effective visualization, and user-friendliness, playing a significant role in deep-time paleophytogeographic reconstruction. This study focuses on three representative ecological models: the Biome model, the SEG model, and the Eco-Plant model. By employing plant macrofossils and microfossils from the Changhsingian-Induan interval as case studies, we systematically elucidate the relationship between vegetation ecology and climate evolution through the application of the Eco-Plant model. Finally, addressing current challenges in deep-time paleophytogeographic reconstruction, we propose a multi-source data integration strategy to further advance the application of ecological models in reconstructing ancient plant geographic distributions across geological timescales. 

Key words: paleophytogeography, paleoecology, ecological model, Changhsingian-Induan

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