Abstract ID: 3.12982 | Not reviewed | Requested as: Talk | TBA | TBA

Alpine and Arctic ecosystems are threatened by global warming. Some plant species are decreasing in abundance, while others are increasing, in response to warming. In this study we use the long-term, globally distributed, International Tundra Experiment (ITEX) with open top chambers (OTC) to simulate warming. Using data from the whole ITEX database, including data from 1990 till now, and all continents except Antarctica, we identify the winners and the losers of alpine and Arctic plants with warming from OTCs over time. Once these species are identified we look for commonality between these species using functional traits. By identifying the functional traits that are linked to responses to warming we may be able to help predict winners and losers beyond the species in our dataset, hopefully adding more knowledge to nature management, and restoration work. Here we present the preliminary results from this meta-analysis type study and discuss the consequences of these findings.