Primary Research Article
How to measure ecosystem stability? An evaluation of the reliability of stability metrics based on remote sensing time series across the major global ecosystems
Article first published online: 26 APR 2014
© 2013 John Wiley & Sons Ltd
Global Change Biology
Volume 20, Issue 7, pages 2149–2161, July 2014
How to Cite
De Keersmaecker, W., Lhermitte, S., Honnay, O., Farifteh, J., Somers, B. and Coppin, P. (2014), How to measure ecosystem stability? An evaluation of the reliability of stability metrics based on remote sensing time series across the major global ecosystems. Global Change Biology, 20: 2149–2161. doi: 10.1111/gcb.12495
- Issue published online: 5 JUN 2014
- Article first published online: 26 APR 2014
- Accepted manuscript online: 10 DEC 2013 03:00AM EST
- Manuscript Accepted: 9 NOV 2013
- Manuscript Revised: 6 NOV 2013
- Manuscript Received: 26 JUN 2013
- KU Leuven
- Fonds Wetenschappelijk Onderzoek – Vlaanderen
- Belgian Science Policy Office. Grant Number: SR/67/164
The resilience metrics, i.e. the autocorrelation at lag 1, normalised spectral entropy and the spectral scaling component, are explained more thoroughly based example time series of a stable and unstable ecosystem.
Data S1. Understanding the stability metrics.
Figure S1. Example of the stability metrics: (a) The time series (ts) of a stable ecosystem X (red dashed line), the climatology (tsC, black) and the anomalies (tsA, red); (b) The time series of a stable ecosystem Y (red dashed line), the climatology (black) and the anomalies (blue); (c) The histogram of the anomalies of time series X (red) and Y (blue); (d) The sample autocorrelation of time series X (red) and Y (blue), (e) The spectrum upon the frequency and the logarithmic relationship between the spectrum and 1/frequency for time series X (red) and Y (blue).
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