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We study a two-type branching random walk in a random environment modeling dormancy and activity. Individuals switch states in response to a moving trap, modeled by a symmetric random walk. Using the Feynman-Kac formula and the parabolic Anderson model, we quantify how responsive dormancy influences long-term survival and population growth.
