  We have introduced a novel multiplex recurrence network (MRN) approach by
combining recurrence networks with the multiplex network approach in order to
investigate multivariate time series. The potential use of this approach is
demonstrated on coupled map lattices and a typical example from palaeobotany
research. In both examples, topological changes in the multiplex recurrence
networks allow for the detection of regime changes in their dynamics. The
method goes beyond classical interpretation of pollen records by considering
the vegetation as a whole and using the intrinsic similarity in the dynamics of
the different regional vegetation elements. We find that the different
vegetation types behave more similar when one environmental factor acts as the
dominant driving force.
