WHICH SYSTEM VARIABLES CARRY ROBUST EARLY SIGNS OF UPCOMING PHASE TRANSITION? AN ECOLOGICAL EXAMPLE.

Which System Variables Carry Robust Early Signs of Upcoming Phase Transition? An Ecological Example.

Which System Variables Carry Robust Early Signs of Upcoming Phase Transition? An Ecological Example.

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Growth of critical fluctuations prior to catastrophic state transition is generally regarded as a universal phenomenon, providing a valuable early warning signal in dynamical systems.Using an ecological fisheries model of three populations (juvenile prey J, adult prey A and predator P), a recent study has reported silent Counter Height Table early warning signals obtained from P and A populations prior to saddle-node (SN) bifurcation, and thus concluded that early warning signals are not universal.By performing a full eigenvalue analysis of the same system we demonstrate that while J and P populations undergo SN bifurcation, A does not jump to a new state, so it is not expected to carry early warning signs.In contrast with the previous study, we capture a significant increase in the noise-induced fluctuations in the P population, but only on close approach to the bifurcation point; it is not clear why the Grooming Brushes P variance initially shows a decaying trend.

Here we resolve this puzzle using observability measures from control theory.By computing the observability coefficient for the system from the recordings of each population considered one at a time, we are able to quantify their ability to describe changing internal dynamics.We demonstrate that precursor fluctuations are best observed using only the J variable, and also P variable if close to transition.Using observability analysis we are able to describe why a poorly observable variable (P) has poor forecasting capabilities although a full eigenvalue analysis shows that this variable undergoes a bifurcation.

We conclude that observability analysis provides complementary information to identify the variables carrying early-warning signs about impending state transition.

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