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Future
Imperfect: Steller Sleuths Predict Probability of Extinction

As professions go, scientists and detectives
are close cousins: both attempt to divine answers to complex problems,
based (more often than not) on imperfect evidence. Such is the nature
of the mysterious decline of western Alaska’s Steller sea lions
over the past 25 years. Any number of possible causes might explain the
plummeting population, and so dozens of scientific sleuths are examining
past and present clues to identify and hunt down the ecological perpetrators.
Some forward-looking researchers, however, are
focusing on what has not yet happened to sea lions: namely, extinction.
Just as a crime prevention unit is concerned with identifying potential
trends and activities, so are Arliss Winship and Andrew Trites from the
University of British Columbia. Their new study, published in the journal
Marine Mammal Science, attempts to forecast the likelihood of extinction
for western Alaskan Steller sea lions based on past population trends.
Like most detective work, predicting extinction is not a precise science.
There are almost always large uncertainties involved, such as what prompted
the Steller sea lion decline in the first place. A number of hypotheses
have alternately implicated human interference, predation by killer whales,
and a reduction in prey due to fisheries and/or a changing ocean climate.
As yet, however, there is no smoking gun: a lack of key evidence has made
it difficult to conclusively rule out any one hypothesis.
Preparing the Case
Enter Winship & Trites, armed with a Population
Viability Analysis (PVA), a statistical tool that attempts to predict
the probability of a species or population going extinct – or reaching
some critical number of individuals – over a specified period.
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Average number of female Steller sea lions in 2102 for different
subpopulations in western Alaska as predicted by the population
model under one potential future scenario: recent population trends
continue for next 100 years. The sizes of the circles are proportional
to the average predicted numbers of females in 2002. |
Given the considerable uncertainties surrounding the
western Alaskan “crime scene”, Winship & Trites quickly
recognized it would be almost impossible to arrive at one result that
would conclusively described the probability of extirpation (localized
extinction) of the species in the region. Thus, they explored three distinct
ecological scenarios – essentially reconstructing three versions
of the events leading up to the “crime” – and assessed
the probability of extinction under each scenario.
In this way, they sought to quantify the uncertainty
associated with the risk of extirpation for Steller sea lions. Furthermore,
this approach would show how different hypotheses about the cause of the
Steller sea lion decline can actually affect the predicted risk of extinction.
In detective terms, this is equivalent to comparing how the conflicting
testimonies of two eyewitnesses can influence the outcome of a trial.
The study’s verdict? If current population
trends continue into the future, Winship & Trites predict that many
subpopulations (rookeries) have a >5% chance of extinction within 100
years. However, the probability of overall extinction for the species
during that time is low.
Back at the local precinct, this scientific detective
work represents “just the facts, ma’am. Just the facts.”
However, in the hands of managers, this information could be used to assess
whether western Alaska’s Steller sea lions merit their current “endangered”
listing, or to influence the way Steller sea lion populations are listed
in the future.
Publication:
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Risk of extirpation of Steller sea lions in the Gulf of Alaska and Aleutian Islands: a population viability analysis based on alternative hypotheses for why sea lions declined in western Alaska.
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Winship, A.J., and A.W. Trites. 2006.
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Marine Mammal Science 22(1):124-155.
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abstract
We estimated the risk that the Steller sea lion will be extirpated in western
Alaska using a population viability analysis (PVA) that combined simulations with
statistically fitted models of historical population dynamics. Our analysis considered
the roles that density-dependent and density-independent factors may have played
in the past, and how they might influence future population dynamics. It also
established functional relationships between population size, population growth
rate and the risk of extinction under alternative hypotheses about population
regulation and environmental variability. These functional relationships can be
used to develop recovery criteria and guide research and management decisions.
Life table parameters (e.g., birth and survival rates) operating during the population
decline (1978?2002) were estimated by fitting simple age-structured models to
time-series of pup and non-pup counts from 33 rookeries (subpopulations). The
PVA was carried out by projecting all 33 subpopulations into the future using
these estimated site-specific life tables (with associated uncertainties) and
different assumptions about carrying capacities and the presence or absence of
density-dependent population regulation. Results suggest that the overall predicted
risk of extirpation of Stelsler sea lions as a species in western Alaska was low
in the next 100 yr under all scenarios explored. However, most subpopulations
of Steller sea lions had high probabilities of going extinct within the next 100
yr if trends observed during the 1990s were to continue. Two clusters of contiguous
subpopulations occurring in the Unimak Pass area in the western Gulf of Alaska/eastern
Aleutian Islands and the Seguam?Adak region in the central Aleutian Islands had
relatively lower risks of extinction. Risks of extinction for a number of subpopulations
in the Gulf of Alaska were reduced if the increases observed since the late 1990s
continue into the fu ture. The risks of subpopulations going extinct were small
whe n densit ydependent compensation in birth and survival rates were assumed,
even when random stochasticity in these vital rates was introduced.
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23 January 2006
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