Lotka-Volterra competition models for sessile organisms.

摘要: Markov models are widely used to describe the dynamics of communities sessile organisms, because they easily fitted field data and provide a rich set analytical tools. In typical ecological applications, at any point in time, each space is one finite states (e.g., species, empty space). The aim probabilities transitions between states. most for communities, these transition assumed be independent state abundances. This assumption often suspected false rarely justified explicitly. Here, we start with simple assumptions about interactions among organisms derive model which depend on abundance destination formulated continuous time equivalent Lotka-Volterra competition model. We fit this variety alternatives do not abundances long-term coral reef set. describes much better than all consider other saturated (a separate parameter interval, by definition fits perfectly). Our approach provides basis further development stochastic many methods use relevant types community. discuss possible extensions spatially explicit models.