https://phys.org/news/2019-01-mathematical-endangered-species.html

Mathematical and statistical models have become powerful tools to explain these dynamics. However, the quality of the information used to construct such models is crucial to improve the chances of accurately predicting the fate of populations in nature. "A model that over-simplifies survival and reproduction can give the illusion that a population is thriving, when in reality, it will go extinct," says Associate Professor Fernando Colchero, author of new paper published in Ecology Letters.

Colchero's research focuses on mathematically recreating the population dynamics by better understanding species demography. He works on constructing and exploring stochastic population models that predict how a certain population (for example, an endangered species) will change over time.