Science Keywords>BIOLOGICAL CLASSIFICATION
Predictive Model of Migratory Shorebird Resting Sites: Great Knot, Red Knot and Bar-tailed Godwit in Coastal Sea of Okhotsk, Russian Far EastEntry ID: UAF_migratoryshorebirdgreatknot
Abstract: So far, the migration patterns of shorebirds in the Sea Of Okhotsk region,
Russian Far East, have only been sketchily documented by Western sources. This
is mostly due to the lack of international effort and due to the relative short
amount of time that Russia has been open to Westerners (e.g. Huettmann 2003,
unpublished). Most of our knowledge stems from only a few study ... sites in this
large ecosystem. The need arose for naturalists, conservationists,
researchers, and other interested parties to develop accurate but predictive
models of migration resting sites and subsequently inferred migration routes
between Australasia, far eastern Russia and the Arctic instead of using the
broadly localized knowledge of years past. Here a first predictive model is
presented for Great Knot (Calidris tenuirostris), Red Knot (C. canutus) and
Bar-tailed Godwit (Limosa lapponica) resting sites during fall and spring
migration. This model is based on Generalized Linear Models (GLM) in S-PLUS and
uses the best known information of shorebird resting sites from a Literature
Review on this subject (Huettmann 2003). Habitat information was taken from GIS
layers, software, digital and hardcopy maps. From the species models using
compiled locations with known shorebird migration, it appears that the studied
bird species in prefer tidal saltwater locations with organic matter and
freshwater inflow. The models show spatial differences between spring and fall
migration, which indicates different migration strategies. Further and
continous ground-truthing is highly suggested. This model provides an
additional view on shorebird migration, and it represents the first generation
of predictive modeling for shorebirds in this large region. It is hoped that
further fine-tuning and improvement of models and data will increase the
accuracy of these models and of our knowledge on shorebird migration.
This GIS dataset is based on a basic model used to determine possible resting
sites in the Okhotsk region for three species of shorebirds: Great Knot
(Calidris tenuirostris), Red Knot (Calidris canutus), and Bar-tailed Godwit
(Limosa lapponica). It uses accounts of previous resting locations reported
from scientific expeditions and reports, compiled in a Literature Reviewand as
digital GIS data (Huettmann 2003). By obtaining data on the reported confirmed
locations of these shorebirds during spring and autumn migrations and then
predicting them to locations with known habitat configurations, the relative
probability of occurrence for species at these other resting sites can be
determined. Further research can then be done at identified candidate
locations allowing to infer on migration strategies, flyways and for carrying
out an effective conservation management of habitats and species.
(Click for Interactive Map)
Data Set Citation
Dataset Title: Predictive Model of Migratory Shorebird Resting Sites: Great Knot, Red Knot and Bar-tailed Godwit in Coastal Sea of Okhotsk, Russian Far East
Dataset Release Date: December, 2002
Access Constraints None
Use Constraints None
Data Set Progress
Distribution Media: electronic
Distribution Format: HTML
Role: TECHNICAL CONTACT
Phone: +1 (303) 492-6199
Fax: +1 (303) 492-2468
Email: nsidc at nsidc.org
National Snow and Ice Data Center CIRES, 449 UCB University of Colorado
Province or State: CO
Postal Code: 80309-0449
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Creation and Review Dates
DIF Creation Date: 2000-01-20
Last DIF Revision Date: 2009-04-20