In Most predictions about climate-change impacts are based on space-for-time substitutions: They assume that both single species as well as entire plant communities will shift their distributions according to changing climatic conditions, and hence that their future distributions can be estimated from present-day spatial patterns. However, despite substantial discussions about shortcomings of this approach, its validity has never been tested for plant communities. Here, we present the first such test. We combined a steep natural rainfall gradient in There were strong year-to-year fluctuations in overall density, species richness and composition of the plant community in all environments. These community fluctuations were correlated to the annual rainfall amounts and patterns, and their magnitude increased along the gradient with aridity. However, in both environments rainfall manipulations had no effect on either overall density or species composition after the six study years. Instead, the effect of rainfall manipulations was overruled by the year-to-year fluctuations, and therefore it did not lead to directional succession. Hence, our results contradict the predictions derived from a space-for-time approach. We interpret that plant species in We conclude that long-term experiments are needed especially in highly variable ecosystems to study possible effects of climate change. Experimental approaches, which focus on mechanisms, should be favored over purely correlative space-for-time approaches.
Results/Conclusions