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.

Annual Workshop 2017
ClimMani will organise 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

STSM i open now - see more

Short Term Scientific Missions

Short-Term Scientific Missions (STSMs) are one way of advancing the scientific objectives of the Action.
Call is open now - to be completed before April 1st 2018

Priority on missions directly related to WG1 to WG4 - please contact WG leader for more information if in doubt. See call text for more information


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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