The antelope model is a mathematical model widely used in ecology and biostatistics to simulate and analyze the dynamic changes of animal populations. The model has been widely recognized in ecological research because of its simplicity and ease of use, especially for understanding the population structure and behavior patterns of herbivorous animals such as antelopes.

Antelopes are social animals that live in open and sparse grassland environments, and their survival depends on abundant herbivorous resources and effective avoidance of predators. The core idea of the antelope model is to predict the growth, migration and reproduction of the population through the analysis of the interaction between individuals. The model usually includes several key parameters, such as population density, birth rate, death rate, and migration rate. By adjusting these parameters, researchers can simulate the population dynamics of antelopes under different environmental conditions.

In the antelope Model, population Growth usually follows the Logistic Growth Model, that is, when resources are sufficient, the population will grow rapidly, but as resources are gradually consumed, the growth will slow down and become stable. The model can also be extended to consider the influence of predators, forming a predator-prey model, which analyzes the fluctuations of antelope populations with environmental changes by introducing the population dynamics of predators.

In addition, the antelope model has been used to assess the value of ecosystem services, particularly in the sustainable management of grassland ecosystems. Through the study of antelope population dynamics, managers can develop rational grazing plans to ensure that economic benefits are met without disrupting the ecological balance. This is of great practical significance for the protection of biodiversity and ecological environment.