Abstract
Ecological knowledge is often characterised as being incomplete, sparse and non‐formalised. Qualitative reasoning provides means to capture such knowledge that is otherwise difficult to represent in computer programs. An additional feature is that qualitative models can be used to run interactive simulations in learning environments, providing opportunities for learners to acquire causal insights about ecological phenomena. In this paper we present qualitative models of interactions between two populations in biological communities. Our approach further explores a qualitative theory of population dynamics previously implemented. Based on this theory we have developed and implemented qualitative models and simulations that support reasoning about the most common behaviours of two interacting populations. In our models the assumptions are explicitly represented and therefore can be analysed by students and modellers. We also discuss how these models can be organised to create interesting learning routes for teaching learners about population and community behaviour.
Get full access to this article
View all access options for this article.
