2011
DOI: 10.1073/pnas.1117052108
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Nonlinear detection of paleoclimate-variability transitions possibly related to human evolution

Abstract: Potential paleoclimatic driving mechanisms acting on human evolution present an open problem of cross-disciplinary scientific interest. The analysis of paleoclimate archives encoding the environmental variability in East Africa during the past 5 Ma has triggered an ongoing debate about possible candidate processes and evolutionary mechanisms. In this work, we apply a nonlinear statistical technique, recurrence network analysis, to three distinct marine records of terrigenous dust flux. Our method enables us to… Show more

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Cited by 220 publications
(171 citation statements)
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“…However, recent reinterpretations of the palaeoclimate record have questioned this hypothesis [9,71,73]. Recent re-evaluations of the African palaeoclimate data suggest that pulsed changes may be more important than long-term trends [71,73].…”
Section: Discussionmentioning
confidence: 99%
“…However, recent reinterpretations of the palaeoclimate record have questioned this hypothesis [9,71,73]. Recent re-evaluations of the African palaeoclimate data suggest that pulsed changes may be more important than long-term trends [71,73].…”
Section: Discussionmentioning
confidence: 99%
“…Although certain events such as heat waves and in particular droughts can last for several months, an analysis using the end dates of such temporally extended disasters (not shown) does not exhibit significant coincidence rates. To assess the statistical robustness of our findings, independent Poisson processes are assumed for both the disaster as well as the conflict outbreak event series at the individual country level, conserving the event rates N c,k =T and N d,k ð«Þ=T, respectively (23). Here, T denotes the total time span covered by both event series.…”
Section: Methodsmentioning
confidence: 99%
“…(1) based on ε-recurrences, we can formally write A i j (ε) = R i j (ε) − δ i j (where δ i j is Kronecker's delta) to obtain the adjacency matrix of the corresponding ε-recurrence network (RN). The properties of such networks have been widely studied [8,[11][12][13], and their practical use as an exploratory tool of time series analysis has been demonstrated [7,14].…”
Section: Recurrence Plotsmentioning
confidence: 99%