Context Socio-ecological landscapes typically characterized by non-linear dynamics in space and time that are difficult to be analyzed using standard quantitative methods, due to the interaction of multiple processes acting on different spatial and temporal scales. This poses a challenge to our ability in deriving suitable approaches for analyzing time series, and identifying possible landscape attractors, able to evaluate changes in landscape dynamics as well as recovery from disturbance, like uncontrolled fires. Objective The purpose of this research is the application of non-linear time series techniques, such as Recurrence Quantification Analysis (RQA), to landscape ecology. An example of application of RQA to burnt and unburnt areas in Mediterranean rangelands is presented with the aim to highlight the potentiality and limits of the methodology. Methods We used non-linear methods such as Recurrence Quantification Analysis (RQA) based on Recurrence Plot (RP), together with Joint Recurrence Analysis (JRA) to compare the evolutionary behavior of different time series. Results Time series of forests and grasslands in rangelands present both periodic and chaotic components with a rather similar behavior after the fire and clear transitions from less to more regular/predictable dynamics/succession. Results highlight the impacts of fire, the recovery capacity of land covers to pre-burnt levels, and the changes in functional variability associated with vegetation secondary succession consistent with early successional species. Conclusions RQA and JRA with their set of indices (RR, LAM, DET, and DIV) can represent new sensitive measures that may monitor the adaptive capacity and the resilience of landscapes. However, future applications are needed to better identify the RQA parameter sets useful for standardizing the analysis by strengthening the accuracy of this approach in describing the ongoing transformations of natural and man-managed landscapes.

Investigating landscape phase transitions in Mediterranean rangelands by recurrence analysis

MULDER C.;
2018-01-01

Abstract

Context Socio-ecological landscapes typically characterized by non-linear dynamics in space and time that are difficult to be analyzed using standard quantitative methods, due to the interaction of multiple processes acting on different spatial and temporal scales. This poses a challenge to our ability in deriving suitable approaches for analyzing time series, and identifying possible landscape attractors, able to evaluate changes in landscape dynamics as well as recovery from disturbance, like uncontrolled fires. Objective The purpose of this research is the application of non-linear time series techniques, such as Recurrence Quantification Analysis (RQA), to landscape ecology. An example of application of RQA to burnt and unburnt areas in Mediterranean rangelands is presented with the aim to highlight the potentiality and limits of the methodology. Methods We used non-linear methods such as Recurrence Quantification Analysis (RQA) based on Recurrence Plot (RP), together with Joint Recurrence Analysis (JRA) to compare the evolutionary behavior of different time series. Results Time series of forests and grasslands in rangelands present both periodic and chaotic components with a rather similar behavior after the fire and clear transitions from less to more regular/predictable dynamics/succession. Results highlight the impacts of fire, the recovery capacity of land covers to pre-burnt levels, and the changes in functional variability associated with vegetation secondary succession consistent with early successional species. Conclusions RQA and JRA with their set of indices (RR, LAM, DET, and DIV) can represent new sensitive measures that may monitor the adaptive capacity and the resilience of landscapes. However, future applications are needed to better identify the RQA parameter sets useful for standardizing the analysis by strengthening the accuracy of this approach in describing the ongoing transformations of natural and man-managed landscapes.
2018
Recurrence Quantification Analysis (RQA); Non-linear analysis; Enhanced Vegetation Index (EVI); Fire disturbance; Predictability; Secondary succession
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/331552
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