ClimMani: Climate Change Manipulation Experiments in Terrestrial Ecosystems – Networking and Outreach – University of Copenhagen


The ClimMani COST action will develop a network for the experimental climate change research community bringing experimentalists and modelers together in order to provide solutions to current challenges in climate change experiments.

ClimMani is organised within four Working Groups to address Experimental best practice, use of gradients in experimentation, data sharing and syntheses and data-model interaction.

Core Group meeting  20-22 March 2018
Core Group meeting to sommarise the achievements, conduct final reporting for COST and decide on final dissemination

Annual Workshop 2017
ClimMani organised the annual workshop in Kaap Dorn, The Netherlands, 9-11th October. The workshop will focus on: "Global change effects on terrestrial ecosystems across spatial and temporal scales: gradients, experiments, remote sensing & models". See programme

Short Term Scientific Missions

Short-Term Scientific Missions (STSMs) - a way of advancing the scientific exchange and young scientists training and network building

ClimMani has supported c. 80 STSM exchange grants


TeaCompositionGlobal litter decomposition initiative - ClimMani has entered a global initiative on litter decomposition to compare short and long term carbon dynamics across multiple sites and experiments.

Read More about this initiative or visit Web site

Meta Database

ClimMani develops a Meta Database providing registration and search facilities for ecosystem experiments globally. Read more

Bayreuth Phytometer Initiative

Our phytometer experiment creates a living reference unit for community ecology that indicates the relative influence of cross-site climate and soil conditions of emergent community properties. By using a standardized plant community and substrate alongside the same plant community planted in local soil, sites spanning environmental gradients gain a valuable common metric for disentangling vegetation drivers. This common metric is a biological indicator that naturally incorporates the many physical variables that influence vegetation.


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