UCLA life scientists and colleagues have produced the most comprehensive mathematical model ever devised to track the health of populations exposed to environmental change.
The team’s groundbreaking integral projection model, or IPM, unites various sub-disciplines of population biology, including population ecology, quantitative genetics, population genetics, and life-span and offspring information, allowing researchers to link many different data sources simultaneously. Scientists can now change just a single variable, like temperature, and see how that affects many factors for a population.
“This is one of the most innovative and holistic models, because it unifies so many sub-fields of ecology and genetics into one predictive model,” said study co-author Robert Wayne, a UCLA professor of ecology and evolutionary biology, who led the UCLA research team. “Traditionally, we have studied just a few ecological parameters at a time, like how much food there is or how the environment will change over time, and how that relates to population size. Here, we are analyzing everything at once.”