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Time to look forward to adapt to ocean warming

There is growing evidence indicating that variability and extremes in conditions in the marine environment are as (or more) important as changes in the mean for determining threats to biodiversity, impacts on ecosystem services, and consequences for human systems (1⇓⇓–4). With respect to ocean temperature, long-term persistent warming has been accompanied by an increased frequency of discrete periods of extreme regional ocean warming (marine heatwaves) (5). This poses a threat to biodiversity and ecosystem services, including impacts on foundation species (corals, seagrasses, and kelps) (1, 4). The potential of human and natural systems to adapt to such changes remains unclear. In PNAS, Pershing et al. (6) show that an increasing frequency of extreme heat events—or “surprises”—is challenging autonomous modes of adaptation that rely on historical experience. The authors contrast reactive adaptation that is guided by experiences of past events with proactive adaptation based on forward-looking decision making. They use ocean ecosystems as a case study and, based on mathematical models, consider how temperature trends and the frequency of surprise (high) temperature events could impact natural and human communities under different adaptation strategies. Pershing et al. (6) define a temperature surprise as an annual mean temperature that is 2 SDs above the mean, where the … [↵][1]1To whom correspondence may be addressed. Email: geir.ottersen{at}ibv.uio.no. [1]: #xref-corresp-1-1
- University of Oslo Norway
- University of Tasmania Australia
- University of Tasmania Australia
- Norwegian Institute for Cultural Heritage Research Norway
- Commonwealth Scientific and Industrial Research Organisation Australia
Climate Change, Oceans and Seas, Temperature, Humans, Global Warming
Climate Change, Oceans and Seas, Temperature, Humans, Global Warming
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
