Identification of management units using population genetic data.

By P. Palsbøll, M. Bérubé, F. Allendorf. Trends in Ecology & Evolution, 2007

1,051 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Genetics

View Paper: https://www.semanticscholar.org/paper/7bf7a0b0b7ad1869ba2f303d27dc76728ff169c8

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Citations in the corpus

The application of genetics to marine management and conservation: Examples from the Indo-Pacific (2014, background): “For conservation or fisheries target species, genetic tools can assist with identifying and protecting genetically isolated populations (Palsbøll et al. 2007) or cryptic species (Griffiths et al. 2010b) from overfishing and other threats.”
Remarkably low genetic diversity and strong population structure in common bottlenose dolphins (Tursiops truncatus) from coastal waters of the Southwestern Atlantic Ocean (2014, background): “Given the assumption of demographic independence between different MUs, their delineation requires a direct or indirect estimate of current dispersal rates (Palsbøll et al. 2007).”
Hybridization and the species problem in conservation (2015, background): “MUs are defined by demographic independence (Palsbøll et al., 2007; Allendorf et al., 2013).”
What can genetics tell us about population connectivity? (2010, background): “That is, the absence of panmixia will result in significant allele frequency divergence among subpopulations if enough loci and individuals are sampled (Waples & Gaggiotti 2006; Palsbøll et al. 2007).”
Genetic Assessment of Lake Sturgeon Population Structure in the Laurentian Great Lakes (2008, background): “Alternative delineations of management units take into account relevant demographic and ecological parameters (Crandall et al. 2000; Palsbøll et al. 2006).”
Unified Framework to Evaluate Panmixia and Migration Direction Among Multiple Sampling Locations (2010, background): “…of migration, however, this framework is often insufficient because the assignment methods offer only limited insight into population processes, such as migration, mutation, or fluctuation of population size, that underlie and account for the present genetic structure (Palsbøll et al. 2007).”
Conservation status of the American horseshoe crab, (Limulus polyphemus): a regional assessment (2017, background): “3) may warrant management-unit status (Palsbøll et al. 2007) based on the presence of statistically significant allele frequency heterogeneity, allocation of genetic diversity, and a high percentage of correct classification for region of origin.”
Evolving coral reef conservation with genetic information (2014, methodology): “…Pressey 2000, rondinini et al. 2006, regan et al. 2009). similarly, much has been written about how to spatially delineate populations and conservation units using genetic data (Moritz 1994, Mace et al. 2003, Waples and Gaggiotti 2006, Palsbøll et al. 2007, Waples et al. 2008, Funk et al. 2012).”
Fishing effects on age and spatial structures undermine population stability of fishes (2009, methodology): “These data have limited use to management if demographic parameters of populations are not available (Palsboll et al. 2007).”
Bridging the conservation genetics gap by identifying barriers to implementation for conservation practitioners (2017, background): “, 2014; Ogden, 2011), and from defining conservation units (Palsbøll et al., 2007) to detecting hybrids (McKelvey et al.”
Population genetics of Australian white sharks reveals fine-scale spatial structure, transoceanic dispersal events and low effective population sizes (2012, background): “Establishing the extent to which populations are genetically subdivided allows their identification as potentially demographically independent conservation management units (MUs), which may require tailored conservation strategies (Palsbøll et al. 2007).”
Contribution of genetics and genomics to seagrass biology and conservation (2007, background): “Assessment of these nested scale dynamics is now computationally possible given many new markers and powerful assignment tests (Palsbøll et al., 2007).”
Mitochondrial Control Region and microsatellite analyses on harbour porpoise (Phocoena phocoena) unravel population differentiation in the Baltic Sea and adjacent waters (2010, background): “It has been recently argued that the sole rejection of panmixia should no longer be considered sufficient to the identification of a ‘‘management unit’’ (MU) (Palsbøll et al. 2006).”