Title: Characterization of Regime Shifts in Environmental Time Series with Recurrence Quantification Analysis
Authors: ZALDIVAR COMENGES JOSE'STROZZI FERNANDADUERI SIBYLLEMARINOV DimitarZBILUT Joseph
Citation: ECOLOGICAL MODELLING vol. 210 no. 1-2 p. 58-70
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2008
JRC Publication N°: JRC34186
ISSN: 0304-3800
URI: http://www.sciencedirect.com/science/article/pii/S0304380007003638
http://publications.jrc.ec.europa.eu/repository/handle/JRC34186
DOI: 10.1016/j.ecolmodel.2007.07.012
Type: Articles in Journals
Abstract: A non-linear time series analysis technique, recurrence quantification analysis (RQA) based on recurrence plots (RP), is proposed in this paper for the characterization of regime shifts in environmental time series. Its application is illustrated for two case studies: lake eutrophication by excessive phosphorous and the regime shift that occurred in Ringkøbing Fjord whenwater exchange with the North Seawas modified. The results showthat RQA is robust against high noise levels (up to 100%) and may be easily implemented on-line. In addition, oxygen dynamics in a Mediterranean coastal lagoon (Sacca di Goro) is also analyzed and the results compared with surrogate time series with oxygen concentration at saturation. RPs could be used for graphically exploring possible thresholds or breaking points, whereas RQA parameters are suited for locating them. The main drawback is the need of a constant sampling frequency with no gaps, which may be problematic for some environmental time series.
JRC Institute:Institute for Environment and Sustainability

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