Habitat and harvest scheduling using Bayesian statistical concepts

A procedure is derived to generate long-term management schedules of habitat and harvest on large land holdings. The method utilizes spatial distributions that are derived using Bayesian statistical concepts. Model-based methods are proposed for incorporating spatial constraints and stochastically creating habitat. Thus, the Bayesian scheduler treats the schedule as a stochastic process rather than a deterministic one and generates virtually an infinite number of potential schedules that share common distributional characteristics. These schedules can then be examined and chosen according to economic or other criteria.