title: Beyond realism in climate change experiments: gradient approaches identify thresholds and tipping points.
abstract: Experimental evidence for impacts of increased climatic variability and extremes on ecosystems is urgently needed. The constraint in our knowledge, however, is not caused by the uncertainty in the applied climate scenarios. We need mechanistic understanding from experiments challenging ecological thresholds coupled with ecosystem models to allow for meaningful up-scaling.
authors.affiliation: BayCEER, University of Bayreuth, Universitätsstraße 30, D-95440, Bayreuth, Germany.
authors.forename: Juergen
authors.initials: J
authors.lastname: Kreyling
authors.forename: Anke
authors.initials: A
authors.lastname: Jentsch
authors.forename: Claus
authors.initials: C
authors.lastname: Beier
mesh_terms: D057231:Climate Change; D017753:Ecosystem; D008962:Models, Theoretical; D012107:Research Design / Q000639:trends*
keywords: climate change; experimental design; extreme events; field experiment