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INTRODUCTION <br />Mathematical models can be useful tools for the conservation of endangered or <br />threatened species (Wootton and Bell 1992). Models fulfill three important functions for <br />these kinds of activities including : 1) clarifying the critical data required to monitor the <br />health of a population; 2) determining the current status of data collection and analysis <br />and of the population dynamics themselves; 3) aid in projecting the outcome of current <br />management strategies; and 4) providing insight into the most effective management <br />strategies given alternatives (Mertz 1971, Crouse et al. 1987, Lande 1988, Doak 1989, <br />Getz and Haight 1989, Menges 1990, Wootton and Bell 1992). <br />Historically, population models took relatively simplistic forms such as Lefkovitch or <br />Leslie Matrix models (sensu Ryle and Valdez 1994) in which transition probabilities <br />from one life stage to the next were used to determine how populations were <br />responding through time and how changes in the transition values might effect those <br />dynamics. It is now becoming increasing apparent that the spatial structure of <br />populations often has important effects on population dynamics (Holt 1985, Kareiva <br />1986, 1987, Pulliam 1988). Incorporating population substructure into models and <br />population monitoring schemes may be critical to predict future population dynamics <br />accurately which may allow either different management strategies altogether (Lande <br />1988, Pulliam 1988, Doak 1989) or at least a quantitative method for prioritizing where <br />efforts are to take place for population enhancement. <br />