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UID:209ae8c02579807b1077f5b9ffabfc93
CATEGORIES:Polar Online Events
CREATED:20210301T133209
SUMMARY:ARCUS Arctic Research Seminar Series
LOCATION:Online
DESCRIPTION:<p style="text-align: justify;">The <strong>Arctic Research Consortium of t
 he U.S. (ARCUS)</strong> invites registration for the next Arctic Research 
 Seminar featuring <strong>Gil Bohrer, Professor in the Department of Civil,
  Environmental and Geodetic Engineering at the Ohio State University.</stro
 ng> Dr. Bohrer's presentation, titled<strong> <em>Ecological Insights from 
 the New Arctic Animal Movement Archive - Tracking Three Decades of Animal M
 ovement across a Changing Arctic</em></strong>, will be held via Zoom on<st
 rong> Friday, 12 March 2021</strong> at 9:00 a.m. AKST (1:00 p.m. EST).</p>
 <p style="text-align: justify;"><strong>Seminar Abstract:</strong></p><p st
 yle="text-align: justify;">Data from animal-borne sensors offer a growing s
 ource of global remote sensing monitoring data. Combining these data allows
  ecologists answer questions about biodiversity and long-term, large-scale 
 patterns in animal behavior in relation to changing environments. The Arcti
 c Animal Movement Archive (AAMA) is a collaborative and growing collection 
 of over 200 terrestrial, avian, and marine animal tracking studies from the
  Arctic and Subarctic, documenting over 15 million location observations an
 d other sensor measurements of over 8,000 animals of 96 species. The AAMA i
 s hosted on Movebank, a global research platform for bio-logging data. Move
 bak includes the EnvDATA toolpack - a library of research tools that link m
 ovement data with many NASA remote sensing products, and weather reanalysis
  models’ weather data products. Through the AAMA, data collected by hundred
 s of institutions is stored in a standard format and can be accessed public
 ly or upon request. Support for controlled-access data is critical to integ
 rating wildlife monitoring data that cannot be shared publicly due to legal
  restrictions or conservation status, and to allow sharing of near-real-tim
 e data as they are being transmitted.</p><p style="text-align: justify;">In
  four case studies demonstrating the utility of this new archive, we gained
  preliminary insight into the climate change response of Arctic animals by 
 annotating long-term and large-scale movement data and demographic events l
 ocations and times with environmental data from remote sensing. In golden e
 agles, we identified the environmental drivers of long-term trends in the o
 nset date of arrival to summering grounds. We found that parturition date (
 date of giving birth) in caribou is showing the most rapid change in northe
 rn populations. We found a strong movement responses to within-season maxim
 um temperatures with opposite directions in wolves and caribou vs. moose. F
 inally, as a test of the tag technology, we validated tag-borne temperature
  observations, against ECMWF modelled temperature estimates.</p><p style="t
 ext-align: justify;">As climate change and human disturbance increasingly a
 lter the Arctic, the AAMA offers a 30-year data record that can serve as a 
 baseline for documenting whether and how animals respond, and to recognize 
 early signals of local or large-scale Arctic ecosystem changes.</p><p style
 ="text-align: justify;"><a href="https://www.arcus.org/research-seminar-ser
 ies" target="_blank" rel="noopener">Registration</a> is required for this e
 vent. Instructions for accessing the webinar will be sent to registrants pr
 ior to the event.</p><p style="text-align: justify;">To register for the ev
 ent, go to:<br /> <a href="https://www.arcus.org/research-seminar-series" t
 arget="_blank" rel="noopener">ARCUS Arctic Research Seminar Series webpage<
 /a></p><p style="text-align: justify;">For questions, contact:<br /> Stacey
  Stoudt<br /> Email: <span id="cloak148edc94fe531caa4e8f9d28ba23b66f">This 
 email address is being protected from spambots. You need JavaScript enabled
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DTSTAMP:20260429T144058Z
DTSTART;TZID=UTC;VALUE=DATE:20210312
DTEND;TZID=UTC;VALUE=DATE:20210313
SEQUENCE:0
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