This is the official repository for all NSF/PLR Arctic Section data collected via funded grants.
You are required to use this repository for your data until further notice.
If you have any questions, please contact

ACADIS Gateway: An Arctic Data Repository
A Service of ACADIS
JavaScript must be enabled.
Cookies must be enabled.


Predicted Arctic vegetation distribution shifts under future climate change

Author:Richard G. Pearson
S.J. Phillips
M.M. Loranty
P.S.A. Beck
T. Damoulas
S.J. Knight
S.J. Goetz
Point of Contact:Richard Pearson
Description:These data are predicted distributions of vegetation in the Arctic under climate change scenarios for the 2050s, as described in the paper:

Pearson, R.G., Phillips, S.J., Loranty, M.M., Beck, P.S.A., Damoulas, T., Knight, S.J., & Goetz, S.J. Shift in Arctic vegetation and associated feedbacks under climate change. Nature Climate Change, 10.1038/NCLIMATE1858.
Progress:Not Assigned - Dataset state not assigned.
Northernmost Latitude:90
Southernmost Latitude:60
Westernmost Longitude:-180
Easternmost Longitude:180
Science Keywords:Biosphere > Vegetation > Biomass
Biosphere > Terrestrial Ecosystems > Forests
Biosphere > Terrestrial Ecosystems > Shrubland/Scrub
Human Dimensions > Environmental Impacts > Conservation
Biosphere > Ecological Dynamics > Community Dynamics > Plant Succession
Biosphere > Ecological Dynamics > Community Dynamics > Biodiversity Functions
Biosphere > Vegetation > Dominant Species
Biosphere > Vegetation > Vegetation Cover
Biosphere > Terrestrial Ecosystems > Grasslands
ISO Topic(s):biota
Location(s):Geographic Region > Arctic
Data Format(s):GeoTIFF
Date Created:2013-03-26 16:38:50
Date Last Updated:2015-02-05 10:49:56
Data Center:Advanced Cooperative Arctic Data and Information Service
Related Links:
More Like This Dataset:ICOADS Auxiliary and Future Datasets
2008 Under-Ice CTD Measurements
2008 Under-Ice CTD Measurements
2008 Under-Ice CTD Measurements
Bacterial survival in sea ice brines: salinity shifts and the cellular fate of compatible solutes

Download Files - View and download individual files for this Dataset. 39 Files

Download Zip Archive - Download all the files from this dataset in a Zip archive. 39 Files

Download Wget Script - A Wget shell script that will download all files for this dataset. 39 Files