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Abstract
Connectivity is a key consideration for the management and conservation of any species, but empirical characterizations of connectivity can be extremely challenging. Assessments of connectivity require biologically realistic classifications of landscape structure (Kotliar and Wiens 1990), and an understanding of how landscape structure affects migration, dispersal, and population dynamics (Dunning et al. 1992; Rosenberg et al. 1997; Hanski 1999; Taylor et al. Chapter 2). Empirical assessments of connectivity may be accomplished by studying spatial patterns of habitat occupancy through time (Sjogren-Gulve and Ray 1996; Hanski 1999; Moilanen and Hanski Chapter 3), spatially correlated changes in population demography (Bjornstad et al. 1999; Isaak et al. 2003; Carroll Chapter 15), and individual movements (Millspaugh and Marzluff 2001; Tracey Chapter 14). These approaches have provided important insights for many species, but they can be difficult to implement for species with slow population dynamics or turnover (extinction and recolonization), complex life histories, and long-distance migrations.
Citation
Neville, Helen; Dunham, Jason; Peacock, Mary. 2006. Assessing connectivity in salmonid fishes with DNA microsatellite markers. In: Crooks, Kevin R.; Sanjayan, M., eds. Connectivity conservation. New York, NY: Cambridge University Press: 318-342.