Even without detailed genetic data, sound genetic management strategies for augmenting gene flow can be instituted by considering population genetics theory, and/or computer simulations. When detailed data are lacking, moving (translocating) some individuals into isolated inbred population fragments is better than moving none, as long as the risk of outbreeding depression is low. With more detailed genetic information, more precise genetic management of fragmented populations can be achieved. Using mean kinship within and between populations (estimated from modeling, pedigrees, genetic markers or genomes), and moving individuals among fragments with the lowest between fragment mean kinships provides the best approach to gene flow management. Populations should then be monitored to confirm that movement of individuals has resulted in the desired levels of gene flow, genetic diversity has been enhanced, and that the status of the population is improving.