Published July 12, 2011 | Version v1
Dataset Open

Data from: Islands in the ice: detecting past vegetation on Greenlandic nunataks using historical records and sedimentary ancient DNA meta-barcoding

Description

Nunataks are isolated bedrocks protruding through ice sheets. They vary in age, but represent island environments in "oceans" of ice through which organism dispersals and replacements can be studied over time. The J.A.D. Jensen's Nunataks at the southern Greenland ice sheet are the most isolated nunataks on the northern hemisphere - some 30 km from the nearest biological source. They constitute around 2 km2 of ice-free land that was established in the early Holocene. We have investigated the changes in plant composition at these nunataks using both the results of surveys of the flora over the last 130 years, and through reconstruction of the vegetation from the end of the Holocene Thermal Maximum (5528±75 cal yr BP) using meta-barcoding of plant DNA recovered from the nunatak sediments (sedaDNA). Our results show that several of the plant species detected with sedaDNA are described from earlier vegetation surveys on the nunataks (in 1878, 1967 and 2009). In 1967, a much higher biodiversity was detected than from any other of the studied periods. While this may be related to differences in sampling efforts for the oldest period, it is not the case when comparing the 1967 and 2009 levels where the botanical survey was exhaustive. As no animals and humans are found on the nunataks, this change in diversity over a period of just 42 years must relate to environmental changes likely being climate-driven. This suggests that even the flora of fairly small and isolated ice-free areas reacts quickly to a changing climate.

Notes

Files

Blank Controls.txt

Files (7.5 kB)

Name Size Download all
md5:045351d9b3d1fe8435046eef9f0ba126
97 Bytes Preview Download
md5:9730a873e2e9c6451898816731288b95
953 Bytes Preview Download
md5:f04c001c4ba128a7d6f4490c5d90af18
2.7 kB Preview Download
md5:d1a7a26ef8c21697ae023e82b2c19d64
704 Bytes Preview Download
md5:a4ee781e8e36dcf2fbaaab9f681203ac
2.0 kB Preview Download
md5:adce63a278829fb45c8b50e89c146d38
1.0 kB Preview Download

Additional details

Related works