Old tools, new ways of using them: Harnessing expert opinions to plan for surprise in marine socio-ecological systems
- 1The University of Auckland, New Zealand
- 2University of Waikato, New Zealand
- 3National Institute of Water and Atmospheric Research (NIWA), New Zealand
- 4Cawthron Institute, New Zealand
- 5University of Otago, Christchurch, New Zealand
- 6Marine Research Institute, Faculty of Science, University of Cape Town, South Africa
With globally accelerating rates of environmental disturbance, coastal marine ecosystems are increasingly prone to non-linear regime shifts that result in a loss of ecosystem function and services. A lack of early-detection methods, and an over reliance on limits-based approaches means that these tipping points manifest as surprises. Consequently, marine ecosystems are notoriously difficult to manage, and scientists, managers and policy makers are paralyzed in a spiral of ecosystem degradation. This paralysis is caused by the inherent need to quantify the risk and uncertainty that surrounds every decision. While progress towards forecasting tipping points is ongoing and important, an interim approach is desperately needed to enable scientists to make recommendations that are credible and defensible in the face of deep uncertainty. We discuss how current tools for developing risk assessments and scenario planning, coupled with expert opinions, can be adapted to bridge gaps in quantitative data, enabling scientists and managers to prepare for many plausible futures. We argue that these tools are currently underutilized in a marine cumulative effects context but offer a way to inform decisions in the interim while predictive models and early warning signals remain imperfect. This approach will require redefining the way we think about managing for ecological surprise to include actions that not only limit drivers of tipping points but increase socio-ecological resilience to yield satisfactory outcomes under multiple possible futures that are inherently uncertain.
Keywords: regime shift, ecosystem function, tipping point, Abrupt change, Deep uncertainty
Received: 19 Jun 2019;
Accepted: 29 Oct 2019.
Copyright: © 2019 Gladstone-Gallagher, Hope, Bulmer, Clark, Stephenson, Mangan, Rullens, Siwicka, Thomas, Pilditch, Savage and Thrush. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mx. Rebecca Gladstone-Gallagher, The University of Auckland, Auckland, New Zealand, email@example.com