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<p>With the rapid development of artificial intelligence technologies, AI-based image generation tools have shown significant potential in ecological conservation visualization. However, in this specialized domain, there is still a lack of systematic criteria for evaluating and selecting Artificial Intelligence Generated Content (AIGC)-based drawing tools. Focusing on the Giant Panda National Park in China, this study applies the Analytic Hierarchy Process (AHP) to assess tool performance based on four dimensions: scientific accuracy, artistic controllability, science-communication suitability, and generation stability. The study integrates image–text interaction into AI training pathways. Based on this approach, it establishes a comprehensive evaluation framework aligned with the generated outputs. Using both qualitative and quantitative analyses, we compare three representative tools—Midjourney, ChatGPT-4o, and Wenxinyige. The results reveal that each tool presents distinct characteristics shaped by its cultural and technical foundations. This study demonstrates the applicability of AIGC tools in ecological visualization and provides a scientific reference for tool selection. It also illustrates how automated generation of habitat illustrations and species morphology graphics can support science communication in ecology. Furthermore, it advances digital and intelligent visualization of biodiversity.</p>

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Application of AI-based Visualization Design for Flora and Fauna: A Case Study of the Giant Panda National Park

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月12日

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  • Ting Li,
  • Jin Wang

摘要

With the rapid development of artificial intelligence technologies, AI-based image generation tools have shown significant potential in ecological conservation visualization. However, in this specialized domain, there is still a lack of systematic criteria for evaluating and selecting Artificial Intelligence Generated Content (AIGC)-based drawing tools. Focusing on the Giant Panda National Park in China, this study applies the Analytic Hierarchy Process (AHP) to assess tool performance based on four dimensions: scientific accuracy, artistic controllability, science-communication suitability, and generation stability. The study integrates image–text interaction into AI training pathways. Based on this approach, it establishes a comprehensive evaluation framework aligned with the generated outputs. Using both qualitative and quantitative analyses, we compare three representative tools—Midjourney, ChatGPT-4o, and Wenxinyige. The results reveal that each tool presents distinct characteristics shaped by its cultural and technical foundations. This study demonstrates the applicability of AIGC tools in ecological visualization and provides a scientific reference for tool selection. It also illustrates how automated generation of habitat illustrations and species morphology graphics can support science communication in ecology. Furthermore, it advances digital and intelligent visualization of biodiversity.