Low-trophic level species account for more than 30% of global fisheries production and contribute substantially to global food security. We used a range of ecosystem models to explore the effects of fishing low-trophic level species on marine ecosystems, including marine mammals and seabirds, and on other commercially important species. In five well-studied ecosystems, we found that fishing these species at conventional maximum sustainable yield (MSY) levels can have large impacts on other parts of the ecosystem, particularly when they constitute a high proportion of the biomass in the ecosystem or are highly connected in the food web. Halving exploitation rates would result in much lower impacts on marine ecosystems while still achieving 80% of MSY.

As a consequence of global climate-driven changes, marine ecosystems are experiencing polewards redistributions of species - or range shifts - across taxa and throughout latitudes worldwide. Research on these range shifts largely focuses on understanding and predicting changes in the distribution of individual species. The ecological effects of marine range shifts on ecosystem structure and functioning, as well as human coastal communities, can be large, yet remain difficult to anticipate and manage. Here, we use qualitative modelling of system feedback to understand the cumulative impacts of multiple species shifts in south-eastern Australia, a global hotspot for ocean warming. We identify range-shifting species that can induce trophic cascades and affect ecosystem dynamics and productivity, and evaluate the potential effectiveness of alternative management interventions to mitigate these impacts. Our results suggest that the negative ecological impacts of multiple simultaneous range shifts generally add up. Thus, implementing whole-of-ecosystem management strategies and regular monitoring of range-shifting species of ecological concern are necessary to effectively intervene against undesirable consequences of marine range shifts at the regional scale. Our study illustrates how modelling system feedback with only limited qualitative information about ecosystem structure and range-shifting species can predict ecological consequences of multiple co-occurring range shifts, guide ecosystem-based adaptation to climate change and help prioritise future research and monitoring.

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Here we argue that there are two important steps in the decision process to restore ecological system that are often ignored. First, consideration of restoration is in response to observed change in a system, but ecological systems can fluctuate widely in their normal dynamic. Thus, there is an imperative to interpret ecological change; shifts in community structure that represent "typical" fluctuations in a properly functioning ecosystem do not warrant restoration, while change associated with phase shift in the system may well demand restoration action. Second, where restoration effort is warranted, it needs to be determined whether management responses are likely to be successful within resource constraints. Where ecological change involves pronounced hysteresis, even massive effort may have little chance in effecting recovery to a preferred ecosystem state. Theory and models indicate that consideration of the characteristic length scales (CLSs) of ecological systems provides an unambiguous interpretation of ecological change, enabling differentiation of "typical" fluctuations from phase shift, and here we show that CLSs can be calculated for real communities from their species' dynamics, and that their behavior is as predicted from theory. We also show that for ecological systems where local interactions and forcings are well understood, validated simulation models can provide a ready means to identify hysteresis and estimate its magnitude. We conclude that there are useful tools available for ecologists to address the key questions of (1) whether restoration attempts are warranted in the first place and, if they are, (2) whether it is practical to pursue them.

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