Plant leaf fossils serve as crucial "natural archives" in paleoclimate reconstruction research. This paper systematically reviews the methods, technological advances, and research status of paleoclimate reconstruction based on plant leaf fossils. Traditional research methods have evolved from Nearest Living Relative (NLR) analysis and Coexistence Approach to Leaf Margin Analysis (LMA) and Climate Leaf Analysis Multivariate Program (CLAMP), gradually establishing quantitative relationships between plant morphological characteristics and climate parameters. With technological advancement, research has expanded from macroscopic morphological analysis to microscopic structural studies, with stomatal density and stomatal index analysis providing new approaches for studying atmospheric CO₂ concentration changes. In recent years, the introduction of computer vision and deep learning technologies has significantly improved the efficiency and accuracy of leaf fossil analysis, driving the field toward intelligent and data-driven interdisciplinary integration. However, challenges remain, including sample scarcity, regional model applicability, and data bias. Future research will focus on multidisciplinary method integration, technological innovation, and big data analysis to further enhance the precision of paleoclimate reconstruction and deepen our understanding of climate changes throughout geological history.
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