Dataset Information
Adaptive Responses of Phaeocystis Populations in Antarctic Ecosystems
Data DOI:
Cite as
Arrigo, K. (2016) "Adaptive Responses of Phaeocystis Populations in Antarctic Ecosystems" U.S. Antarctic Program (USAP) Data Center. doi:
AMD - DIF Record(s)
Global climate change is having significant effects on areas of the Southern Ocean, and a better understanding of this ecosystem will permit predictions about the large-scale implications of these shifts. The haptophyte Phaeocystis antarctica is an important component of the phytoplankton communities in this region, but little is known about the factors controlling its distribution. Preliminary data suggest that P. antarctica posses unique adaptations that allow it to thrive in regions with dynamic light regimes. This research will extend these results to identify the physiological and genetic mechanisms that affect the growth and distribution of P. antarctica. This work will use field and laboratory-based studies and a suite of modern molecular techniques to better understand the biogeography and physiology of this key organism. Results will be widely disseminated through publications as well as through presentations at national and international meetings. In addition, raw data will be made available through open-access databases. This project will support the research and training of two graduate students and will foster an established international collaboration with Dutch scientists. Researchers on this project will participate in outreach programs targeting K12 teachers as well as high school students.
Date Created:
USAP-DC (current) - LDEO-LEGACY (original)
Spatial Extent(s)
West: -75.8, East: -62.37, South: -67.12, North: -61.08
Temporal Extent(s)
Start: 2011-05-15 - End: 2015-04-30
Data Files

0 B

Select All
1.4 kB

MD5 Checksum: e24697c48c920b235cdb6e916f6a48da File Type: HyperText Markup Language (HTML)

430.1 kB

MD5 Checksum: acf567438e96dde5ae1a7b40939f128e File Type: Microsoft Excel

1.5 kB

MD5 Checksum: c824ab3a901129114787c22a1b08bfe3 File Type: HyperText Markup Language (HTML)

595.5 kB

MD5 Checksum: a112fdec8b3e887c7f7f5fa8c7958b48 File Type: Microsoft Excel

This dataset has been downloaded 0 times since March 2017 (based on unique date-IP combinations)