ICREA-Complex Systems Lab, Universitat Pompeu Fabra, Dr. Aiguader 80, 08003 Barcelona, Spain.
J Theor Biol. 2010 Nov 21;267(2):193-200. doi: 10.1016/j.jtbi.2010.08.015.
Biotic recoveries following mass extinctions are characterized by a complex set of dynamics, including the rebuilding of whole ecologies from low-diversity assemblages of survivors and opportunistic species. Three broad classes of diversity dynamics during recovery have been suggested: an immediate linear response, a logistic recovery, and a simple positive feedback pattern of species interaction. Here we present a simple model of recovery which generates these three scenarios via differences in the extent of species interactions, thus capturing the dynamical logic of the recovery pattern. The model results indicate that the lag time to biotic recovery increases significantly as biotic interactions become more important in the recovery process.
大灭绝后生物的恢复过程以一系列复杂的动态为特征,包括从低多样性的幸存者和机会主义物种的组合重建整个生态系统。在恢复过程中,已经提出了三种广泛的多样性动态类别:直接线性响应、逻辑斯蒂恢复和物种相互作用的简单正反馈模式。在这里,我们提出了一个简单的恢复模型,通过物种相互作用程度的差异产生这三种情况,从而捕捉恢复模式的动态逻辑。模型结果表明,随着生物相互作用在恢复过程中变得更加重要,生物恢复的滞后时间显著增加。