WenJun Zhang School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; International Academy of Ecology and Environmental Sciences, Hong Kong Computational Ecology and Software ISSN 2220-721X http://www.iaees.org/publications/journals/ces/online-version.asp 2026 16 2 99 153 International Academy of Ecology and Environmental Sciences Hong Kong 30 November 2025 3 December 2025 1 June 2026 climate change plant adaptability AI assessment tool A hierarchical indicator system and scoring sytem to assess plant species' adaptation to climate change was constructed in present study. The AI-driven assessment tool based on the systems was developed. It features with (1) Multi-dimensional adaptive capacity analysis. (2) Support for multiple AI providers (DeepSeek, Google Gemini). (3) Real-time progress tracking. (4) Comprehensive scoring system. (5) Actionable recommendations for conservation and management. By integrating physiological, biological, morphological, and genetic perspectives, it offers actionable insights for conservation planning and ecosystem management. http://www.iaees.org/publications/journals/ces/articles/2026-16(2)/AI-driven-assessment-of-plant-adaptationto-climate-change.pdf