Knowledge representation and qualitative simulation of salmon redd functioning. Part I: qualitative modeling and simulation.
This work aims at representing empirical knowledge of freshwater ecologists on the functioning of salmon redds (spawning areas of salmon) and its impact on mortality of early stages. For this, we use Qsim, a qualitative simulator. In this first part, we provide unfamiliar readers with the underlying qualitative differential equation (QDE) ontology of Qsim: representing quantities, qualitative variables, qualitative constraints, QDE structure. Based on a very simple example taken of the salmon redd application, we show how informal biological knowledge may be represented and simulated using an approach that was first intended to analyze qualitatively ordinary differential equations systems. A companion paper (Part II) gives the full description and simulation of the salmon redd qualitative model. This work was part of a project aimed at assessing the impact of the environment on salmon populations dynamics by the use of models of processes acting at different levels: catchment, river, and redds. Only the latter level is dealt with in this paper.
Inra, Unité de Biométrie et Intelligence artificielle, BP 27, 31326 Castanet-Tolosan Cedex, France. guerrin@cirad.fr
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D000818:Animals; D017753:Ecosystem; D008962:Models, Theoretical; D012098:Reproduction; D012474:Salmon / Q000502:physiology*