Final answer:
The limitation of map algebra for predictive models is the difficulty in analyzing, parameterizing, and communicating them, due to their complexity and the need for powerful computing resources.
Step-by-step explanation:
One of the limitations of map algebra for generating predictive models as identified by the authors is the challenge involved with analyzing, parameterizing, and communicating complex models.
Typically, robust predictive models like the Individual-Based Models (IBMs) come with complexities that require a deeper understanding of the ecological system and depend on powerful computing resources to manage their complex structures. These models are not only difficult to analyze but also to understand and convey to others effectively.
Furthermore, the simplification of complex ecosystems inherent in many mathematical models may limit their accuracy, even though they can have great potential when informed by sufficient data and an understanding of the ecosystems they aim to represent.