Choosing reserve networks with incomplete species information

摘要: Existing methods for selecting reserve networks require data on the presence or absence of species at various sites. This information, however, is virtually always incomplete. In this paper, we analyze choosing priority conservation areas when there incomplete information about distributions. We formulate a probabilistic model and find network that represents greatest expected number species. compare chosen using approach with treated as if presence/absence known traditional approaches are used. selection sites differs to maximize represented versus approaches. The broad geographic pattern which remains similar across these different but some significant differences in site emerge probabilities occurrences not near 0 1.