The researchers developed a new way to measure natural selection on traits, combining both linear and nonlinear selection. This unified measure, called the distributional selection differential (DSD), captures total selection regardless of the type of selection happening. The DSD can show if selection is pushing traits in one direction or if it varies across different parts of the trait range. This new method helps biologists understand how traits evolve under different selection pressures, especially in situations where traditional analyses fall short.