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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

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

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concordance in <strong>the</strong>ir descriptions <strong>of</strong> <strong>the</strong> eiders’ decline. Nei<strong>the</strong>r <strong>of</strong> <strong>the</strong> two most precise<br />

surveys (one aerial, one ground-based), however, were designed specifically to monitor<br />

numbers <strong>of</strong><strong>Spectacled</strong> <strong>Eider</strong>s. Manipulation <strong>of</strong> <strong>the</strong>se databases to include inter-survey<br />

comparisons <strong>and</strong> restratification may lead to survey modifications that will yield a more<br />

precise estimate <strong>of</strong> <strong>the</strong> breeding population <strong>and</strong> its trend.<br />

With <strong>the</strong> exception <strong>of</strong>a small data set from <strong>the</strong> Prudhoe Bay oil fields <strong>and</strong> traditional<br />

ecological knowledge from Wainwrigbt, no trend data exist for <strong>Spectacled</strong> <strong>Eider</strong><br />

populations on <strong>the</strong> NS or in AR. Fur<strong>the</strong>r, with <strong>the</strong> exception <strong>of</strong> a crude estimate from <strong>the</strong><br />

Indigirka Delta, <strong>the</strong>re are no estimates <strong>of</strong> historical population sizes in ei<strong>the</strong>r <strong>of</strong> <strong>the</strong>se two<br />

regions. Accurate <strong>and</strong> precise estimates <strong>of</strong> sizes <strong>and</strong> trends <strong>of</strong> populations will be needed<br />

for evaluating whe<strong>the</strong>r or not <strong>the</strong>se populations meet <strong>the</strong> criteria for reclassification.<br />

Therefore, it is important that recently-initiated survey efforts on <strong>the</strong> NS <strong>and</strong> in AR be<br />

continued <strong>and</strong> enhanced with consideration <strong>of</strong> <strong>the</strong> effort needed to obtain <strong>the</strong> precision<br />

achieved on <strong>the</strong> YKD. For all surveys, a power analysis should be conducted. In o<strong>the</strong>r<br />

words, <strong>the</strong> probability <strong>of</strong> detecting a true change in population size must be determined,<br />

<strong>and</strong> surveys should be refined accordingly to improve preclslon.<br />

c. Population Dynamics--Although trend data can indicate <strong>the</strong> overall response <strong>of</strong> a<br />

population to its environment, such data alone can nei<strong>the</strong>r illuminate <strong>the</strong> causes for such<br />

responses nor predict <strong>the</strong> probabilities <strong>of</strong> specific responses in <strong>the</strong> future. Questions<br />

concerning population dynamics fall within <strong>the</strong> scope <strong>of</strong>population modeling <strong>and</strong><br />

demographics.<br />

Among various types <strong>of</strong> population models, population viability analysis (PVA) has<br />

become almost d~ rigour in recovery planning for endangered species. PVA can generate<br />

estimates for minimum viable population sizes at varying levels <strong>of</strong> risk (i.e., probabilities<br />

<strong>of</strong>long-term persistence). PVA has limitations, however, <strong>and</strong> such an approach is not<br />

necessarily appropriate in all circumstances. Specifically, it is inappropriate to use<br />

demographic data from a declining population (such as <strong>the</strong> <strong>Spectacled</strong> <strong>Eider</strong> population on<br />

<strong>the</strong> YKD) to conduct a PVA.<br />

As an exercise, however, PVA can help to guide decisions about research priorities <strong>and</strong><br />

recovery criteria. Population modeling, including PVA, will be a central aspect <strong>of</strong><br />

<strong>Spectacled</strong> <strong>Eider</strong> recovery planning, both during <strong>and</strong> beyond <strong>the</strong> exploratory phase <strong>of</strong> data<br />

collection. Initially, this modeling will highlight critical data gaps. Then, as life history<br />

data accumulate, <strong>the</strong> models should become increasingly robust <strong>and</strong> predictive <strong>and</strong>, thus,<br />

should allow evaluation <strong>of</strong> hypo<strong>the</strong>ses addressing <strong>the</strong> cause(s) <strong>of</strong> <strong>the</strong> eiders’ decline <strong>and</strong><br />

assessing obstacles to recovery. In addition, some models may help us assess <strong>the</strong> urgency<br />

<strong>of</strong> required actions if populations slip toward extinction. For stable or growing<br />

populations, minimum viable population models should allow us to estimate <strong>the</strong> time<br />

needed for recovery, <strong>and</strong>, for planning purposes, <strong>the</strong> cost <strong>of</strong> that recovery.<br />

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