Large Language Models (LLMs) have revolutionized the field of natural language processing. These models can analyze vast amounts of data, extract meaningful insights, and provide a basis for informed conservation decisions. This paper identifies the main applications of LLMs for ecology and biodiversity conservation: generation of ecological data, prediction using coding by LLMs, providing insights into public opinion and sentiment, and the potential application of Ecology-specialized LLMs.We discuss the potential challenges and limitations associated with the use of LLMs, such as biases in LLM-generated code and data, and the need for careful evaluation and interpretation of LLM-generated results.