title: Atmospheric CO2 forces abrupt vegetation shifts locally, but not globally.
abstract: It is possible that anthropogenic climate change will drive the Earth system into a qualitatively different state. Although different types of uncertainty limit our capacity to assess this risk, Earth system scientists are particularly concerned about tipping elements, large-scale components of the Earth system that can be switched into qualitatively different states by small perturbations. Despite growing evidence that tipping elements exist in the climate system, whether large-scale vegetation systems can tip into alternative states is poorly understood. Here we show that tropical grassland, savanna and forest ecosystems, areas large enough to have powerful impacts on the Earth system, are likely to shift to alternative states. Specifically, we show that increasing atmospheric CO2 concentration will force transitions to vegetation states characterized by higher biomass and/or woody-plant dominance. The timing of these critical transitions varies as a result of between-site variance in the rate of temperature increase, as well as a dependence on stochastic variation in fire severity and rainfall. We further show that the locations of bistable vegetation zones (zones where alternative vegetation states can exist) will shift as climate changes. We conclude that even though large-scale directional regime shifts in terrestrial ecosystems are likely, asynchrony in the timing of these shifts may serve to dampen, but not nullify, the shock that these changes may represent to the Earth system.
authors: Institut für Physische Geographie, Goethe Universität Frankfurt am Main, 60438 Frankfurt am Main, Germany. higgins@em.uni-frankfurt.de
authors: Steven I
authors: SI
authors: Higgins
authors: Simon
authors: S
authors: Scheiter
mesh_terms: D000349:Africa; D001272:Atmosphere / Q000737:chemistry*; D018533:Biomass; D002244:Carbon / Q000378:metabolism; D002245:Carbon Dioxide / Q000032:analysis / Q000378:metabolism*; D057231:Climate Change / Q000706:statistics & numerical data*; D017753:Ecosystem; D005390:Fires; D005843:Geography; D049672:History, 19th Century; D049673:History, 20th Century; D049674:History, 21st Century; D006358:Hot Temperature; D008954:Models, Biological; D010788:Photosynthesis / Q000502:physiology; D006109:Poaceae / Q000254:growth & development / Q000378:metabolism; D011336:Probability; D011891:Rain; D013269:Stochastic Processes; D013997:Time Factors; D014197:Trees / Q000254:growth & development* / Q000378:metabolism; D014934:Wood
chemical_list: D002245:Carbon Dioxide; D002244:Carbon