Stationary Probability Density Analysis for the Randomly Forced Phytoplankton–Zooplankton Model with Correlated Colored Noises

In this paper, we propose a stochastic phytoplankton–zooplankton model driven by correlated colored noises, which contains both anthropogenic and natural toxins. Using Khasminskii transformation the averaging method, first transform original system into an Itô diffusion system. Afterwards, derive stationary probability density of amplitude equation utilizing corresponding Fokker–Planck–Kolmogorov equation. Then, stability is studied joint two-dimensional given. Finally, theoretical results are verified numerical simulations, effects noise characteristics toxins on dynamics further illustrated.