Greenland Ecosystem Monitoring

Greenland Ecosystem Monitoring (GEM) is an integrated monitoring and long-term research programme on ecosystems and climate change effects and feedbacks in the Arctic. Since 1995 the programme has established a coherent and integrated understanding of the functioning of ecosystems in a highly variable climate, which is based upon a comprehensive, long-term inter-disciplinary data collection carried out by Danish and Greenlandic monitoring and research institutions. 

All data from Arctic terrestrial, limnic and marine ecosystems have been collected under Greenland Ecosystem Monitoring since 1995. The data base currently covers data from monitoring programmes from Zackenberg (1995-) and Kobbefjord at Nuuk (2007-) and can be accessed free of charge at the GEM database (use link below).

Visninger
GEM features as a central component in video portraying the Aarhus University contributions to ecosystem monitoring and research activities Greenland.

2018.06.29 | Research news

GEM Annual Report Cards 2017 out now!

The GEM Annual Report Cards 2017 present selected science stories of the 2017 field season and longer time series analysis from all five Basis Programmes included in GEM (Climate, Geo, Bio, Marine and Glacio). As a new feature, it also includes descriptions of the five GEM Basis Programmes, including overview of monitored parameter groups…

2018.05.15 | Research news

GEM related job-offer: Climate and Cryosphere Researcher at Asiaq, Greenland Survey

Asiaq - Greenland Survey offers a challenging position as a researcher within the fields of climate and cryosphere. Asiaq is leading the three GEM ClimateBasis and one GEM GlacioBasis sub-program of the Greenland Ecosystem Monitoring programme (GEM, www.g-e-m.dk<http://www.g-e-m.dk>). Within these programs our aim is to provide…

2018.04.25 | Research news

Exciting PhD studentships available related to GEM

Patterns of arctic ecosystem variability and change Exploring mobile measurement capabilities of short lived climate forcers (SLCF) to obtain improved understanding of high latitude atmosphere/climate dynamics

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