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Computational Ecology and Software, 2026, 16(1): 58-98
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Article

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

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

Received 25 November 2025;Accepted 2 December 2025;Published online 3 December 2025;Published 1 March 2026
IAEES

Abstract
In present study a system of hierarchical indicators to assess animal species' adaptation to climate change was constructed, and the AI-driven assessment tool was developed. It is a single-page web tool that: (1) Collects species and context information from the user. (2) Lets the user choose an AI provider (DeepSeek or Google Gemini) and enter an API key. (3) Builds a detailed prompt requesting a JSON-formatted climate adaptation assessment. (4) Sends the prompt to the selected provider's REST API. (5) Parses and validates the JSON-like response. (6) Renders the results into a rich UI, grouped into: Physiological indicators, Morphological indicators, Behavioral indicators, Genetic indicators, Summary assessment and conservation recommendations. With this AI tool, we can easily judge the real-time vulnerability of the given animal species to climate change and obtain conservation recommendations.

Keywords animal adaptation;climate change;AI;assessment;web tool.


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