loading page

The role of large pre-trained models in ecology and biodiversity conservation: Opportunities and Challenges
  • Hideyuki Doi,
  • Takeshi Osawa,
  • Narumasa Tsutsumida
Hideyuki Doi
Kyoto University

Corresponding Author:[email protected]

Author Profile
Takeshi Osawa
National Institute for Agro-environmental Science
Author Profile
Narumasa Tsutsumida
Saitama University
Author Profile


Large pre-trained models (LPMs) have the capabilities to understand natural language, code, and diverse data including images; e.g., large language models (LLMs), code-generative models, and large vision models (LVMs) as well as combined as multi-modal models. We outlines the main applications of LPMs and multi-modal LPMs for ecology and biodiversity conservation. These applications include generating ecological data, generating code, providing insights into public opinion and sentiment. We highlighted the significant potential of LPMs and the potential use of Ecology-specialized LPMs for ecology and biodiversity conservation. They offer unprecedented opportunities for analyzing diverse data, extracting meaningful insights, and informing conservation decisions.