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<p>Landscape pattern is a critical driver of biodiversity. However, the impact of landscape pattern evolution on plant diversity remains poorly understood due to disparities in vegetation types, sampling methodologies, diversity metrics, spatial scales, and landscape metrics levels. Here, we leveraged a globally standardized plant community database and 30-m resolution land-use maps to statistically quantify the relationship between plant alpha diversity and historical landscape patterns across different temporal stages. Using random forest models, we selected the top 30 landscape metrics with high importance scores. Results showed that landscape-level pattern metrics were more influential than class-level metrics and exhibited stronger predictive power. The model explained grassland plant diversity better, while the importance of landscape pattern metrics varied significantly across vegetation types. By incorporating landscape evolution and historical landscape patterns, our findings better explain why the effects of current landscape patterns on plant diversity are unstable. These results highlight the need to prioritize historical landscape backgrounds in biodiversity conservation and nature reserve planning.</p>

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Impact of landscape pattern evolution on plant alpha diversity

  • 期刊论文

  • 发表日期：

    2025年7月5日

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  • Jing Xu,
  • Yu Peng,
  • Jiahui Zhai,
  • Ziyi Wu,
  • Xin Liu,
  • Dong Lan,
  • Di Wu

摘要

Landscape pattern is a critical driver of biodiversity. However, the impact of landscape pattern evolution on plant diversity remains poorly understood due to disparities in vegetation types, sampling methodologies, diversity metrics, spatial scales, and landscape metrics levels. Here, we leveraged a globally standardized plant community database and 30-m resolution land-use maps to statistically quantify the relationship between plant alpha diversity and historical landscape patterns across different temporal stages. Using random forest models, we selected the top 30 landscape metrics with high importance scores. Results showed that landscape-level pattern metrics were more influential than class-level metrics and exhibited stronger predictive power. The model explained grassland plant diversity better, while the importance of landscape pattern metrics varied significantly across vegetation types. By incorporating landscape evolution and historical landscape patterns, our findings better explain why the effects of current landscape patterns on plant diversity are unstable. These results highlight the need to prioritize historical landscape backgrounds in biodiversity conservation and nature reserve planning.