Handle With Care

Complexity researchers, Reinette Biggs, Stephen R. Carpenter, and William A. Brock, in a new article published in the Proceedings of the National Academy of Sciences. Only the abstract that follows is freely available to the general public. They point to the danger of waiting until signs of collapse cannot be ignored. By then the collapse may be inevitable. (Hat tip to Garry Peterson)
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Ecological regime shifts are large, abrupt, long-lasting changes in ecosystems that often have considerable impacts on human economies and societies. Avoiding unintentional regime shifts is widely regarded as desirable, but prediction of ecological regime shifts is notoriously difficult. Recent research indicates that changes in ecological time series (e.g., increased variability and autocorrelation) could potentially serve as early warning indicators of impending shifts. A critical question, however, is whether such indicators provide sufficient warning to adapt management to avert regime shifts. We examine this question using a fisheries model, with regime shifts driven by angling (amenable to rapid reduction) or shoreline development (only gradual restoration is possible). The model represents key features of a broad class of ecological regime shifts. We find that if drivers can only be manipulated gradually management action is needed substantially before a regime shift to avert it; if drivers can be rapidly altered aversive action may be delayed until a shift is underway. Large increases in the indicators only occur once a regime shift is initiated, often too late for management to avert a shift. To improve usefulness in averting regime shifts, we suggest that research focus on defining critical indicator levels rather than detecting change in the indicators. Ideally, critical indicator levels should be related to switches in ecosystem attractors; we present a new spectral density ratio indicator to this end. Averting ecological regime shifts is also dependent on developing policy processes that enable society to respond more rapidly to information about impending regime shifts.
Ex ante arguments that the cost of acting prematurely before everything is known about the future would depress economic growth do not fit this model. It calls for more investment in understanding and the implementation of pragmatic, adaptive policies. The existing procedures for adopting policies to cope with complex realities like global climate change or global financial systems pick the winners by some sort of cost/benefit analysis. But this always involves making predictions of the future state at the same time that complexity research points increasingly toward the inability to predict what such a state would be and when it might abruptly appear.
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