Second North American Sea Duck Conference - Patuxent Wildlife ...
Second North American Sea Duck Conference - Patuxent Wildlife ...
Second North American Sea Duck Conference - Patuxent Wildlife ...
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SECOND NORTH AMERICAN SEA DUCK CONFERENCE<br />
DEFINING POPULATION UNITS FOR CONSERVATION OF SEA DUCKS:<br />
CONTRASTING GENETIC AND DEMOGRAPHIC CRITERIA<br />
John Pearce¹, Sam Iverson², Daniel Esler², and Sandy Talbot¹<br />
¹Alaska Science Center, U.S. Geological Survey; john_pearce@usgs.gov<br />
²Anchorage, AK 2Centre for <strong>Wildlife</strong> Ecology, Simon Fraser University, Burnaby, BC<br />
Several tools can be used to examine population differentiation and identify appropriate conservation<br />
units, including genetic and demographic analyses. In this presentation, we discuss the benefits<br />
and challenges associated with independent and combined uses of these approaches. Many of the<br />
challenges stem from a frequent misunderstanding or misinterpretation of data that is obtained through<br />
genetic and demographic methods. Additionally, many are often frustrated when study results from<br />
one marker type is markedly different than obtained with a second marker type. In this talk, we review<br />
how genetics and demographics can be used to measure spatial and temporal variation in population<br />
differentiation. For example, if population segments show evidence of genetic differentiation, one can<br />
strongly infer that these segments also are demographically independent. Conversely, failing to reject<br />
a hypothesis of panmixia using neutral genetic markers cannot be interpreted as evidence for lack of<br />
short-term demographic independence. Because genetic data reflect both historical and contemporary<br />
exchange, genetic signatures can persist over long temporal scales. Thus, direct measurements of<br />
movement (using bands, radios, stable isotopes, etc.) can be particularly useful for disentangling<br />
historic gene flow from more contemporary levels of movement. Managers should not be surprised<br />
if genetic and demographic data show different patterns, because of the different temporal scales to<br />
which they apply. Indeed, this is a common occurrence in ornithological studies. We review recent<br />
cases that highlight the benefit of a combined marker approach, and offer some suggestions on how<br />
best to interpret studies in which only a single marker type is used. For example, one shortcoming of<br />
demographic data is the cost and methodological challenges associated with accurately quantifying<br />
movements of individuals across multiple years and study sites. Yet such data is often very useful for<br />
interpreting population genetic data. Thus, we recommend a multiple marker approach for a better<br />
understanding of population demography and delineation.<br />
28 ANNAPOLIS, MARYLAND, USA NOV. 7-11, 2005