Ecological insights from three decades of animal movement tracking across a changing Arctic

  • Released Monday, April 5, 2021
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Animal movement tracking across the arctic on top of seasonal natural phenomena like changing vegetation, snow (white), and sea ice (light purple).
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The Arctic Animal Movement Archive (AAMA) is a new and growing collection of studies describing movements of animals in and near the Arctic. The AAMA includes millions of locations of thousands of animals over more than three decades, recorded by hundreds of scientists and institutions. By compiling these data, the AAMA supports public data discovery, preserves fundamental baseline data for the future, and facilitates efficient, collaborative data analysis. We have used the AAMA to document climatic influences on the migration phenology of golden eagles, geographic differences in the adaptive response of caribou reproductive phenology to climate change, species-specific changes in terrestrial mammal movement rates in response to increasing temperature, and the utility of animal-borne sensors as proxies for ambient air temperature. The AAMA is a living archive that can be used to uncover other such changes, investigate their causes and consequences, and recognize larger ecosystem changes taking place in the Arctic.

These visualizations show AAMA animal location data. Some of the visualizations collpase the years down as if all of the data were from the same year; others show the data with the years passing. Several different groupings of animals are shown: marine mammals, raptors, seabirds, shorebirds, terrestrial mammals, and waterbirds. Snow and sea ice are also shown for context as they correlate to animal movements.

Citation: Ecological insights from three decades of animal movement tracking across a changing Arctic. S.C. Davidson, et al. Science 06 Nov 2020: Vol. 370, Issue 6517, pp. 712-715 DOI: 10.1126/science.abb7080

Data citation: The Arctic Animal Movement Archive (AAMA) is a collection of studies that contain animal movement and other animal-borne sensor data from the Arctic and Subarctic, owned by hundreds of participating experts and organizations. As of November 2020, this collection includes 214 studies that contain over 43 million locations of over 12,000 animals recorded from 1988 to the present. Initial development of the AAMA was funded by NASA's Arctic-Boreal Vulnerability Experiment. The AAMA is hosted on Movebank, a free, global research platform for animal movement and animal-borne sensor data. Long-term support for the storage and curation of the AAMA in Movebank comes from the Max Planck Institute of Animal Behavior. Visit the archive to learn more and find out how to participate.

NASA Media: https://www.nasa.gov/feature/goddard/2020/arctic-animals-movement-patterns-are-shifting-in-different-ways-as-the-climate-changes
AGU iPoster: https://agu2020fallmeeting-agu.ipostersessions.com/Default.aspx?s=1C-9F-40-11-B3-77-C2-50-6F-F3-B1-3B-60-B4-93-5E#
AGU Hyperwall Talk: [placeholder]

All animal locations for all years shown together on a spinning globe

Animal locations shown with all years at once (i.e., the year is ignored; only the month and day are used to determine which points are shown). 30 days of data are shown every frame

Locations of raptors migrating from Canada and Alaska in 1999. In this visualization, about 84% are Golden Eagles (Aquila chrysaetos), 14% are Bald eagles (Haliaeetus leucocephalus) and 2% are Osprey (Pandion haliaetus).

Animal locations from a single grey wolf from 10 Jan 2014 to 17 Feb 2014 with a Landsat-8 data tile used for the high resolution closeup

Animal locations through the years showing North and South America. 60 days worth of data are shown every frame

Colors for each animal grouping: red=marine mammals, green=raptors, purple=seabirds, orange=shorebirds, yellow=terrestrial mammals, brown=waterbirds

Colors for each animal grouping: red=marine mammals, green=raptors, purple=seabirds, orange=shorebirds, yellow=terrestrial mammals, brown=waterbirds

Global temperature anomaly average from 2015-2019 based on GISS Surface Temperature Analysis +/- 2 degrees celcius (blues are lower than normal, reds are higher than normal). The color bar is the same one that was used here.

Global temperature anomaly average from 2015-2019 based on GISS Surface Temperature Analysis ± 2 degrees celcius (blues are lower than normal, reds are higher than normal). The color bar is the same one that was used here.

Colorbar for the global temperature anomaly. Blue is colder than the average temperature for that area, and red is warmer than the average temperature.

Colorbar for the global temperature anomaly. Blue is colder than the average temperature for that area, and red is warmer than the average temperature.

Credits

Please give credit for this item to:
NASA's Scientific Visualization Studio

This page was originally published on Monday, April 5, 2021.
This page was last updated on Thursday, June 22, 2023 at 9:49 AM EDT.

Datasets used in this visualization

  • BMNG (Blue Marble: Next Generation) [Terra and Aqua: MODIS]

    ID: 508
    Sensor: MODIS

    Credit: The Blue Marble data is courtesy of Reto Stockli (NASA/GSFC).

    This dataset can be found at: http://earthobservatory.nasa.gov/Newsroom/BlueMarble/

    See all pages that use this dataset

  • 10 km Daily Sea Ice Concentration [SHIZUKU (GCOM-W1): AMSR2]

    ID: 795
    Type: Observed Data Sensor: AMSR2

    Credit: AMSR2 data courtesy of the Japan Aerospace Exploration Agency (JAXA).

    See all pages that use this dataset

  • Band Combination 5, 4, 3 [Landsat-8: OLI]

    ID: 862
    Sensor: OLI
    See all pages that use this dataset

  • Arctic Animal Movement Archive (AAMA)

    ID: 1102
    Type: Observed Data

    A collection of studies that contain animal movement and other animal-borne sensor data from the Arctic and Subarctic, owned by hundreds of participating experts and organizations.

    Credit: Authors of the animal movement data shown here include Tomas Aarvak, Jason Akearok, Christine Anderson, Rebecca Bentzen, Andrew Berdahl, Dominique Berteaux, Joël Bêty, Natalie Boelman, Dmitrijs Boiko, Stan Boutin, Sean Boyd, Kurt K. Burnham, David Cabot, Magda Chudzinska, Shanti Davis, Chris DeSorbo, David Douglas, Amanda Droghini, Goetz Eichhorn, Kyle Elliott, Craig Ely, Michael Exo, Steve Ferguson, Wolfgang Fiedler, Paul Flint, Steve Furguson, Stefan Garthe, Anthony Gaston, Grant Gilchrist, Petr Glazov, Larry Griffin, Autumn-Lynn Harrison, Scott Hatch, Mark Hebblewhite, Holly Hennin, Mark Hipfner, Jerry Hupp, Michael Janssen, Jim A. Johnson, Kyle Joly, Andrea Kölzsch, Thiemo Karwinkel, Roland Kays, Helmut Kruckenberg, Benjamin J. Lagassé, JF Lamarre, Richard Lanctot, Dave Latham, Christopher Latty, Jim Lawler, Don-Jean Léandri-Breton, Oliver Love, Christie Macdonald, Jesper Madsen, Mark Maftei, Mark Mallory, Pete Marra, Laura McFarlane Tranquilla, Carol McIntyre, Emily McKinnon, WA Montevecchi, Tong Mu, Eric Neilson, Pete Nye, Ruth Oliver, Allison Patterson, Wibke Peters, Aevar Petersen, Margaret Petersen, Ivan Pokrovsky, Rui Prieto, Petra Quillfeldt, Jennie Rausch, Audrey Robillard, Mike Russell, Dan Ruthrauff, Daniel Ruthrauff, Sarah Saalfeld, Joel Schmutz, Dale Seip, Mónica A. Silva, Steve Slater, Jeff Smith, Grigori Tertitski, JF Therrien, Kasper Thorup, Lee Tibbitts, Brian Uher-Koch, Rob van Bemmelen, David Ward, Martin Wikelski, and David Yurkowski.

    See all pages that use this dataset

Note: While we identify the data sets used in these visualizations, we do not store any further details, nor the data sets themselves on our site.