Polar bears have attracted widespread attention in recent years as a symbol of global climate change. In order to better understand the ecology and survival of this species, scientists have adopted the method of model research. Among them, the establishment of polar bear models not only helps researchers predict polar bear habitat changes, but also provides an important basis for formulating conservation strategies.

The construction of polar bear model is mainly based on biostatistics and ecological principles. The model takes into account environmental variables such as temperature, ice thickness and prey distribution by analyzing factors such as polar bear habitat behavior, breeding cycle and food chain relationships. These data are usually derived from long-term field observations and remote sensing techniques. By simulating the polar bear's survival under different scenarios, researchers can predict how polar bear populations will change under extreme conditions such as global warming.

Among them, the most commonly used models are "suitable habitat model" and "population dynamics model". The suitable habitat model focuses on evaluating the habitat ability of polar bears under different environmental conditions, and judging the safety of their habitat by establishing habitat suitability index. The population dynamics model is used to analyze the birth and death rates of polar bear populations and their interactions with the environment. These models provide empirical support for assessing the effectiveness of conservation measures.