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A. Status of the Spectacled Eider - U.S. Fish and Wildlife Service

A. Status of the Spectacled Eider - U.S. Fish and Wildlife Service

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This PVA will treat two population types: (1) <strong>the</strong> Yukon-Kuskokwim Delta (YKD) population<br />

(for which good information on population trends is available); <strong>and</strong> (2) an “unknown”<br />

population, which describes <strong>the</strong> North Slope (NS) population <strong>and</strong> <strong>the</strong> Arctic Russian (AR)<br />

population. The YKD population type will provide specific estimates <strong>of</strong> extinction<br />

probabilities, whereas <strong>the</strong> “unknown” type will provide guidance for choosing criteria for<br />

classification decisions. Finally, estimates <strong>of</strong>MVP sizes <strong>and</strong> expected time to go from various<br />

population sizes to a critical size (i.e., 125 pairs) are made to provide additional quantitative<br />

guidance for selecting criteria used for classification decisions.<br />

M~LbQd~<br />

The preferred method for conducting an accurate PVA is to develop a demographic model that<br />

includes information on age-specific birth <strong>and</strong> survival rates, <strong>the</strong> way in which those rates vary<br />

through time, <strong>and</strong> <strong>the</strong> way in which those rates change with population density. Not only are<br />

<strong>the</strong>se data unavailable for <strong>Spectacled</strong> <strong>Eider</strong>s, but crucial elements are missing from detailed<br />

studies <strong>of</strong> Common <strong>Eider</strong>s (Mime 1974, Swennen 1983, Coulson 1984) which might o<strong>the</strong>rwise<br />

serve as an adequate surrogate for modelling purposes. Perhaps <strong>the</strong> most important missing<br />

data are estimates <strong>of</strong> first-year survival rates <strong>and</strong> <strong>the</strong> variability in those rates. It is<br />

<strong>the</strong>oretically possible to calculate those rates given information on adult survival rates, birth<br />

rates, <strong>and</strong> rates <strong>of</strong> survival to fledging. Unfortunately, using <strong>the</strong> estimates provided in<br />

published accounts <strong>of</strong> <strong>the</strong> Common <strong>Eider</strong>, studies to derive juvenile survival rate <strong>of</strong>ten resulted<br />

in nonsensical values, such as survival with a probability > 1. For this reason, a detailed<br />

demographic model for <strong>the</strong> PVA was not possible (although a separate Appendix (III) on eider<br />

demography is included). Instead, a simple model <strong>of</strong> exponential growth was used.<br />

This model uses a mean growth rate <strong>and</strong> a variance in growth rate to project population sizes<br />

through time. Variance in growth rate for <strong>Spectacled</strong> <strong>Eider</strong>s is unknown. Figure I-i shows<br />

<strong>the</strong> influence <strong>of</strong> variability in population growth rate on <strong>the</strong> distributions <strong>of</strong> extinction times.<br />

The example considers <strong>the</strong> case where <strong>the</strong> average growth rate is a 5%/year decline<br />

(r = -0.05) <strong>and</strong> <strong>the</strong> initial population size is 5,000 pairs. Three curves are shown for<br />

increasing variability in population growth rate (small--coefficient <strong>of</strong> variation (CV) = 0.05;<br />

medium--CV = 0.15; <strong>and</strong> large--CV = 0.25). Clearly, <strong>the</strong> more variable <strong>the</strong> growth rate <strong>of</strong> a<br />

population, <strong>the</strong> higher are its chances <strong>of</strong> experiencing a string <strong>of</strong> years <strong>of</strong> bad luck that could•<br />

lead to extinction. Indeed, high variability in population growth rates has been correlated with<br />

increased probabilities <strong>of</strong> population extinction in wild populations <strong>of</strong> lagomorphs (Souls<br />

1987).<br />

There are two studies on Common <strong>Eider</strong>~s from which estimates <strong>of</strong> population growth<br />

variability can be made. In Scotl<strong>and</strong>, wintering eiders can be counted with high accuracy<br />

(Milne 1974). A 10-year time series <strong>of</strong>population estimates (which included a year <strong>of</strong> high<br />

adult mortality from an oil spill) yielded a st<strong>and</strong>ard deviation (s) for r <strong>of</strong> 0.21. At about <strong>the</strong><br />

same time, a nesting population in <strong>the</strong> Ne<strong>the</strong>rl<strong>and</strong>s had an s = 0.07 (Swennen 1983). For <strong>the</strong><br />

Appendix I - Page 4

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