70. Pacific Walrus Response to Rapidly Accelerating Arctic Change: Bioenergetics Modeling to Inform Forecasting of Future Population Status
The objective to be achieved by research under this Opportunity is the development
of a bioenergetics model to estimate the food requirements for Pacific walruses
(Odobenus
rosmarus divergens) of different ages and sex classes by time of year. In
concert with the overall walrus research program at the U.S. Geological Survey
(USGS), this baseline bioenergetics model for the Pacific walrus will then be
linked to models of sea ice and benthic prey to determine how changes in diet
and sea-ice coverage will affect the energy requirements, life history parameters,
and ultimately population dynamics of Pacific walrus.
The Pacific walrus is one of four marine mammal species managed by the Department
of the Interior. Walruses feed on clams and other organisms in sediments on the
sea floor. Sea ice is important to walruses because it provides them with a platform
for accessing productive offshore habitats of the continental shelves. In summer,
female walruses and their young follow the sea ice as it retreats north of the
Bering Strait and into the Chukchi Sea. Sea ice in the Chukchi Sea has decreased
sharply in recent years due to climate warming. In the past decade, the retreat
of sea ice in the Chukchi Sea has been more dramatic than in any other area of
the Arctic. The record-breaking sea ice minimum in 2007 is believed to be the
cause of an unprecedented number of female and young walruses coming ashore during
the absence of sea ice over the continental shelf in fall. In 2008, the U.S.
Fish and Wildlife Service (FWS) were petitioned to list the Pacific walrus as
threatened under the Endangered Species Act (ESA). The petition listed concerns
of walrusesf reduced access to offshore foraging areas during increasingly longer
ice-free periods.
In response to the growing information needs about Pacific walrus, the USGS has
developed a strategic plan to make maximal use of existing data and guide the
collection of new data. The core of the plan is a modeling framework that links
a walrus population dynamics model with input from a walrus bioenergetics model.
Estimates of walrus energy available for storage and respiration will be conditioned
on spatial model scenarios of sea ice and benthic prey distribution. Decreased
sea-ice coverage will likely alter the diets and behaviours (foraging, resting
habits, and so on) of the Pacific walrus. Such changes are expected in turn to
negatively affect the energy budgets and capacity of walruses to survive and
reproduce. However, the extent to which environmental change interacts with individual
behavior, physiology, and population demography has not yet been investigated
and is not known with any precision. As such, it is not yet possible to predict
how the distribution and numbers of walruses are most likely to respond to global
warming.
The successful postdoctoral researcher will lead development of the bioenergetic model for walruses. The bioenegetics model can be parameterized using data from published captive and field studies on walruses, or can be estimated from other pinniped studies if walrus-based estimates are unavailable. Energy requirement parameters in this dynamic model will need to be adjusted for sex and age of walruses as well as different reproductive states, seasonal requirements and activity levels. The bioenergetic model will also need to be extended to the population energy requirements from population composition estimates by age and sex classes. A sensitivity analysis will need to be performed to validate the model.
Several parameters in the bioenergetic model will be dependent on environmental
factors. For example, activity levels are dependent on time spent foraging at
sea, prey distribution and availability, and so on. Changes in sea-ice coverage
and prey distribution as predicted by the benthic and ice models will need to
be input into the bioenergetic model by converting changes in environmental conditions
into changes in energy requirements for walruses. For example, if sea-ice coverage
recession increases foraging effort (including travelling longer, diving deeper,
and so on) and decreases the foraging efficiency of walruses; activity will
increase while resting time will decrease. This increase in energy output can
be compensated either by increasing food intake, by reducing energy allocated
to other functions such as reproduction (decrease in reproductive rate expected),
or by releasing energy stores from the body (which are limited) to fuel basic
metabolic functions.
Energy inputs that are insufficient to cover basic energy needs in a given environment
(estimated using foraging efficiency, digestive capacity, prey distribution analyses)
will reduce the energy available for reproduction and the probability of surviving.
This will need to be partitioned by age and sex classes. This will allow us to
draw conclusions on how predicted rates of reproduction and survival will change
over time. Monte Carlo simulations will be needed to allow the uncertainty in
the predictions to be described and quantified.
Proposed Duty Station:
Anchorage, AK
Areas of Ph.D.: Biology, ecology, wildlife biology, wildlife ecology,
wildlife physiology (Candidates holding a Ph.D. in other disciplines
but with knowledge and skills relevant to the Research Opportunity may be considered.)
Qualifications: Applicants must meet one of the following
qualifications: Research Wildlife Biologist, Research
Ecologist, Research Physiologist
(This type of research is performed by those who have backgrounds for the
occupations stated above. However, other titles may be
applicable depending
on the applicant's background, education, and research
proposal. The final
classification of the position will be made by the Human Resources specialist.)
Research Advisor(s):
Chadwick Jay, (907) 786-7414, cjay@usgs.gov; Karen Oakley, (907) 786-7076,
koakley@usgs.gov
Human Resources Office contact:
Candace Azevedo, (916) 278-9393, caazevedo@usgs.gov
U.S. Department of the Interior, U.S. Geological Survey
URL: http://geology.usgs.gov/postdoc/2011/opps/opp70.html
Direct inquiries to Rama K. Kotra at rkotra@usgs.gov
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Research Fellowship Program Web Team
Last modified: 09:43:32 Tue 13 Oct 2009
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