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Computational Ecology and Software, 2026, 16(2): 99-153
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Article

AI-driven assessment of plant adaptation to climate change: The web tool based on physiological, biological, morphological, and genetic indicators of plant species

WenJun Zhang
School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; International Academy of Ecology and Environmental Sciences, Hong Kong

Received 30 November 2025;Accepted 3 December 2025;Published online 5 December 2025;Published 1 June 2026
IAEES

Abstract
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.

Keywords climate change;plant adaptability;AI;assessment tool.


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