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<p>The old tea tree resource is crucial for the dual values of the natural and cultural aspects of ancient tea forest landscapes. Research on their distribution patterns and influencing mechanisms is essential for effective protection and management, though existing studies are limited. This paper focuses on Yunnan Province, rich in old tea tree resources, and explores their multi-scale mechanisms and spatial heterogeneity using Multi-scale Geographically Weighted Regression and Maximum Entropy models. Old tea trees show a “southwest concentration, hierarchical differentiation” pattern, evolving from “northward to southward migration, with dense west and sparse east.” This pattern results from natural suitability, social factors, cultural heritage, and synergies. Key factors change with scale, with regional GDP and tourism development intensity being the most significant. Based on this, a strategy for zonal, hierarchical, and collaborative protection is proposed for sustainable conservation.</p>

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Exploring multi-scale spatial heterogeneity in the factors driving the distribution of old tea trees

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月29日

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  • Weiwei Xu,
  • Qingzhong Wen,
  • Wenzhe Zhou,
  • Guangyao Lyu,
  • Xueqiong Tang

摘要

The old tea tree resource is crucial for the dual values of the natural and cultural aspects of ancient tea forest landscapes. Research on their distribution patterns and influencing mechanisms is essential for effective protection and management, though existing studies are limited. This paper focuses on Yunnan Province, rich in old tea tree resources, and explores their multi-scale mechanisms and spatial heterogeneity using Multi-scale Geographically Weighted Regression and Maximum Entropy models. Old tea trees show a “southwest concentration, hierarchical differentiation” pattern, evolving from “northward to southward migration, with dense west and sparse east.” This pattern results from natural suitability, social factors, cultural heritage, and synergies. Key factors change with scale, with regional GDP and tourism development intensity being the most significant. Based on this, a strategy for zonal, hierarchical, and collaborative protection is proposed for sustainable conservation.