Introduction

Species redistribution is a pervasive and extensive impact of climate change on marine ecosystems, with an estimated 25–85% of marine species having already shifted at least part of their geographical range (based on regional-scale studies: Dulvy et al. 2008; Pinsky et al. 2013; Wernberg et al. 2011), moving at an average rate of ~ 70 km per decade (Poloczanska et al. 2013). Model projections indicate that such movements are likely to continue in the future (Cheung et al. 2016), with consequences for coastal communities, fisheries and ecosystem services, and for ocean management and governance (Pecl et al. 2017; Pinsky et al. 2018; Scheffers and Pecl 2019) (Fig. 1). While the evidence of climate-driven range shifts is substantial, with over 12,000 marine and terrestrial species worldwide documented to be shifting (Lenoir et al. 2019), the implications for ecosystem structure and function and for human societies—including potential adaptation responses—are not well understood.

Fig. 1
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The global challenge of climate-driven marine species redistribution

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Climate-driven range shifts in the marine environment have the potential to affect productivity, food-web structure, the dominance and function of biogenic ecosystem engineers, as well as local and regional-scale biodiversity and ultimately human well-being (Pinsky et al. 2020). Some of these effects have already been documented (see review by Pecl et al. 2017), for example, the range extension of a tropical Diadematid sea urchin to temperate reefs with subsequent overgrazing leading to cascading ecosystem change for coastal kelp forest communities (Ling 2008; Ling and Keane 2018). In the Arctic, range shifts are profoundly altering ecosystem function, with larger, longer lived piscivorous species rapidly replacing fish communities that were primarily composed of smaller bottom-dwelling species (Frainer et al. 2017). While the extent of climate-driven range shifts in Antarctic marine ecosystems are less well described, there is increasing evidence that such shifts are occurring for multiple species (Melbourne-Thomas 2020). Changes in the distribution of key fisheries species are already exacerbating existing or creating new conflicts within and between countries (Belhabib et al. 2016; Pomeroy et al. 2016; Spijkers et al. 2018). Moreover, the impacts of climate-driven changes in species distribution are further compounded by the human-driven spread of invasive species (Mustonen et al. 2018). Our understanding of the overall scope and role of present change is also obscured by the fact that in many cases, changes may have already occurred and/or baselines have not been documented (Clavero 2014; Hobday 2011).

Ongoing species, community and ecosystem-level changes due to range shifts will challenge or even invalidate assumptions regarding biomass targets, reference points and the extent of fishable habitat (e.g. Ling and Keane 2018) and will therefore require substantial changes to fisheries management, including assessments, allocations and ecosystem considerations. There is also a regional disparity in outcomes for human systems emerging as species move towards polar regions and away from tropical regions (Cheung et al. 2009, 2010; Oremus et al. 2020) where human communities have a high level of dependence on coastal resources and often less adaptive capacity (Allison et al. 2009). Many people in tropical countries are very dependent on fishing for livelihoods and may not have the capacity or desire to move elsewhere. Pre-existing regional tensions can also increase the risk of conflicts amongst fishery area users and authorities (Belhabib et al. 2018).

Further dimensions of this challenge include that species redistribution can lead to (and in some cases has already resulted in) the emergence of new fisheries that cross jurisdictional boundaries within and between countries and/or in international waters, requiring the negotiation of new agreements (Mustonen et al. 2018; Pinsky et al. 2018). Indirect effects of species range shifts on fisheries include changes in the distribution of diseases (Shields 2019) and of protected species that then have implications for management. An example of the latter effect is that climate-driven shifts in the habitat use of the North Atlantic Right Whale (an endangered species) among several important feeding grounds have resulted in mortality of whales from ship strikes and gear entanglement in areas where whales were previously uncommon. This has prompted the Canadian Government to limit vessel speeds and close fisheries in areas where the whales are now observed at key times in an attempt to avoid these mass mortality events (Meyer-Gutbrod et al. 2018a).

The disruption of cultural connections to iconic species and Indigenous fisheries—as those species move away from their traditional ranges—is an important issue that requires further consideration (Pecl et al. 2017) (Table 1). Indigenous connections to the sea and to marine species are deep, often profound (Mustonen et al. in prep) and developed over extensive time (Fischer et al. 2020). From an Indigenous perspective, the seen and the unseen non-humans occupying the coasts and marine ecosystems have co-evolved with humans over thousands of years. Climate-induced changes not only disrupt the physical habitats but tear apart spiritual-cultural connections to these places and species (Table 1) (see the female spiritual guardians and change for the Haida Nation in Williams-Davidson 2017).

Table 1 Indigenous and traditional cosmologies and species on the move
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Species redistribution poses local to global-scale challenges for governance regimes that will require flexibility, cooperation and re-negotiation (Scheffers and Pecl 2019; Spijkers and Boonstra 2017; Spijkers et al. 2018). Scenario development is a useful tool to consider how these challenges might evolve into the future, and to consider alternative and complementary options for addressing them. While scenario development may take a number of different forms (Francis et al. 2011), scenarios can generally be categorised as: (1) predictive scenarios (identifying what will happen in the future based on current evidence, conceptualised as the probable future), (2) normative scenarios (focused on describing what we would like to happen, conceptualised as the preferable future) and (3) exploratory scenarios (which explore what could feasibly happen, conceptualised as the possible future) (Amara 1984; Börjeson et al. 2006). Normative and exploratory scenario approaches are likely to be particularly useful in the context of the oceans and climate-driven species redistribution due to the complexities and uncertainties associated with governance of sovereign and common-pool resources both at the national and international level (Nash et al. 2020). Notably, while scenario tools provide us with a vision of a future, to drive change there needs to be a process for developing pathways to achieve that future. This requires the design and implementation of complementary and coordinated actions across all levels of society from local community groups to national governments and international organisations, and a process for adaptive learning (Boschetti et al. 2020).

In this paper we summarise available evidence and envisage what the phenomenon of climate-driven species redistribution means for marine social-ecological systems in the coming decade under two different scenarios: a business as usual future and a technically possible and more sustainable future. We then consider what steps towards a more sustainable future are technically feasible for our current society and may assist in achieving the Sustainable Development Goals (United-Nations 2015), minimising negative outcomes and capitalising on new opportunities. We chose a 10-year time-frame consistent with the UN Decade of Ocean Science for Sustainable Development (2021–2030), which clearly articulates the urgent need for adaptation strategies and science-informed policy responses to global change.

Approach for developing scenarios and pathways

We used the approaches described in Nash et al. (2020) to consider key assumptions, develop scenarios and identify possible pathways to alternative futures for the challenge of climate-driven species redistribution in the oceans. This approach was an iterative forecasting-hindcasting process (Fig. 2) involving expert elicitation and consultation through a series of workshops and meetings. The process included the interdisciplinary author team, which comprises law, governance, management, socioecological, climate science and economics experts, and Indigenous leadership. The team also consulted with an international group of Traditional Owners and Indigenous knowledge holders, and community representatives (see Mustonen et al. in prep and Fischer et al. 2020 for more details).

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An overview of the methods followed to develop alternative scenarios of 2030 for responding to the challenge of climate-driven species redistribution (* from Nash et al 2020)

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Specifically, we first identified the nature of the challenge (as outlined in the introduction of our paper above) and evaluated how the set of key assumptions underlying scenario development for 2030 ocean futures, as articulated by Nash et al. (2020), were relevant for the challenge of climate-driven species redistribution. The key assumptions described by Nash et al. (2020) are: (1) human populations will continue to increase; (2) the globe is locked into a certain amount of climate change within 10 years; (3) no new major international agreements are started; (4) no large-scale conflicts emerge; and (5) resource use and knowledge production continues. We also assumed that (6) projected trends in global-scale marine species redistribution and ocean animal biomass (as described by Cheung et al. 2009; Lotze et al. 2019) will occur on the time-scale of our study (from 2021 to 2030), which is consistent with observed marine species range shifts to date (Poloczanska et al. 2013; Sunday et al. 2012), and that (7) no new pandemics emerge in the coming decade.

We brainstormed a list of drivers, i.e. factors that are key to addressing the challenge of marine species redistribution and that may influence what future we can achieve over the course of the Decade for Ocean Science (see Table S1 for a complete list of these drivers). We then condensed this list into a manageable set of ‘umbrella’ drivers (by grouping related drivers from our list; see Nash et al. 2020) and used expert judgement in a workshop setting to select those umbrella drivers with both a high degree of impact on how we manage species redistribution and over which society has a relatively high degree of influence, at least over the 2021–2030 timeframe (see Nash et al. 2020 for full details). For each of these high-impact high-influence umbrella drivers (Fig. 3) we used literature review and forecasting to develop evidence-based descriptors for their status under current conditions (i.e. the recent past, approximately 5–10 years), under a ‘business as usual’ 2030 future and for a more sustainable (and technically possible) 2030 future, aligned with achieving the Sustainable Development Goals. From the descriptions of driver status for these two futures, we developed two alternative narrative scenarios for the year 2030.

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Key drivers that will shape future outcomes of species redistribution

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We then developed a set of actions related to each driver that, together, could constitute a pathway to shift the trajectory away from the ‘business as usual’ and toward the more desirable/optimistic ‘sustainable’ future. We considered by whom, by when and at what spatial scale each of these actions would need to be enacted to realise the more sustainable 2030 future. These steps were undertaken through a combination of expert input from the author team (in a workshop setting) and literature review. We also used expert judgement (i.e. all authors independently assigned scores to action) to rate the feasibility and impact of each action, and used an iterative approach (with feedback between the scenarios and our development of pathways) to evaluate whether these actions, in tandem, would be sufficient to realise the more sustainable 2030 future for climate-driven species redistribution, as we had envisaged it (Fig. 2).

We acknowledge that the disruptions of 2020–2021, in particular the COVID-19 pandemic, are currently causing major changes to economies and socioecological systems at the global scale. The business as usual scenario we describe is based on evidence from the recent past before the pandemic, and assumes a general return to this trajectory in the next few years. The changes elicited by COVID-19 to the global ocean, environment and society may indeed present a platform for change and an opportunity to ‘reset’ trajectories in the coming decade (as discussed in Pecl et al. in prep). The sustainable future presented here is one option for such a shift.

Alternative futures for 2030

The four high-impact, high-influence umbrella drivers we identified for responding to the challenge of climate-driven species redistribution in the oceans are: (1) monitoring and detection of species redistributions, (2) timely management at multiple scales, (3) cooperation between jurisdictions, and (4) human adaptation (Fig. 3). Descriptions of alternative trajectories—business as usual versus more sustainable—for these four key drivers are provided below. These descriptions form the basis of two ‘narratives’ of 2030 futures: one in which we are “chasing our tails and our fish” (the business as usual future) and an alternative future in which there is “dynamic adaptation to species on the move” (a technically possible and more sustainable future) (Table 2).

Table 2 Narratives of alternative 2030 futures
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Driver 1: Monitoring and detection

The degree and effectiveness of monitoring and detection of range shifts (including movement of disease, toxins and pathogens) in the marine environment is a critical precursor to successful adaptation and management (Bonebrake et al. 2018; Link et al. 2011; Pecl et al. 2017). To date, monitoring and detection of species redistribution has been relatively scattered, often localised and not standardised across boundaries, making it difficult to draw comparisons across data sets and/or different spatial and temporal scales (Bates et al. 2015; Brown et al. 2016).

Under a business as usual future for this driver we envisage that there may be a shift towards more coordinated monitoring and open access to data, but this remains a challenge across jurisdictions, and among nations with different availability of resources to adequately support monitoring and subsequent data handling, storage and processing (Maureaud et al. 2020). Moreover, the rise in popularity (and value) of citizen science (e.g. Pecl et al. 2019b) and inclusion of Indigenous knowledge could result in extensive localized and non-standardised sampling, if not carefully coordinated and informed by collaborations with scientific teams. Whilst such data may be locally useful, they may or may not meet broader methodological standards. Data collection under this future could be biased towards economically important and charismatic species, and the detection of pathogens that impact human health. While monitoring conducted by wealthier nations could cover greater spatial scales (e.g. Australian monitoring might also encompass Indonesia), these data might not be available to developing countries because institutes in developed nations undertake most of the analyses (e.g. Barber et al. 2014). While we foresee that the quantities of monitoring data will increase, these data may not necessarily be as relevant as they could potentially be for decision-making because they may not be available in a form that can easily inform adaptation to species redistribution.

A more sustainable and technologically possible future for monitoring and detection of species redistribution could involve globally-coordinated networks of standardised monitoring, using advances in technology and citizen science (Edgar et al. 2020; Gervais et al. in review; Newman et al. 2012; Newman et al. 2019; Pecl et al. 2019b; Stuart-Smith et al. 2017). This will depend on addressing challenges around sharing of monitoring data among jurisdictions (see Driver 3 below). In this alternative future there will be sufficient funds and attention for culturally appropriate interdisciplinary collaboration (IT, social sciences, philosophy, statistics, biology, and Indigenous and traditional communities as full partners operating under Free Prior Informed Consent) to develop approaches that can make use of standard scientific data, citizen science, as well local and Indigenous data and knowledge streams. Examples of such collaboration are happening already, including the Haida Nation, the Maori, and to a certain extent in the Arctic in the Bering Sea (Mustonen and Van Dam in press), Alaska, Western Greenland (Johnson et al. 2015) and the Sámi areas of the European North (Mustonen et al. 2018). One method of framing ecosystem change due to species redistribution in a meaningful way across Indigenous nations would be the development of some form of ‘Event Database’ of marine change—both for the past, present and future (note, the Indigenous concept of time is divergent from linear time). This database would service the needs of the communities and science, and would not necessarily need to be electronic but could also be physical (museums, stories/narratives or perhaps ‘housed’ in families or institutions) so that logistically it is also equitably accessible. For example, the collection of fish species information by small scale fishers in developing nations (with support from non-governmental organisations) helps builds capacity and ecological knowledge for local communities (e.g. Almany et al. 2010) especially if analysed by local institutes. With adequate support, investment and technology, monitoring could be longer-term and cover a wider geographic area as well as greater depths of the oceans. Monitoring and detection data summarised into useable formats, such as regular report cards, together with enhanced communication of findings to government, industry and the public would better assist decision-making and adaptation.

Driver 2: Managing at multiple scales

The temporal and spatial scale of ocean management will also play a key role in addressing the challenge of species redistribution. Current management responses to species redistributions suffer from several problems: (1) lag between detection of distributional change and management response (Maxwell et al. 2015), (2) often rigid management frameworks that, for example, are set for specific areas rather than acknowledging that species move in space, and (3) static marine protected areas (both in space and in terms of objectives) that cannot adapt to shifting ranges (D'Aloia et al. 2019; Meyer-Gutbrod et al. 2018b).

By 2030 under a business as usual approach we suggest that—based on current practise and trajectories—management will remain reactive, with a mismatch between the scale of ecological change and management decisions taken, and only limited examples of smaller-scale responsive management. The existence of lags between detection of change and a management response will also mean that by the time actions occur, the situation will have changed again (i.e. species may have moved even further than at previous detection) and therefore management may be ineffective.

By contrast, under a more sustainable scenario, by 2030 we could see broader adoption of extensive, proactive dynamic ocean management approaches (Table 3) at a variety of appropriate spatial scales—essentially spatial scales which are relevant to stock distribution, productivity changes and sustainability (Gaines et al. 2018; Hobday et al. 2014; Maxwell et al. 2015). This alternative future would include approaches as simple as vessel communication regarding bycatch (Maxwell et al. 2015; O'Keefe and DeCelles 2013) or near-real time area closures, to the use of seasonal to decadal-scale forecasts and predictions to inform actions and risk management where capacity exists (e.g. see Payne et al. 2019; Tommasi et al. 2017). These approaches would be coupled with ecosystem-based fisheries management and operationalised integrated management (Fulton et al. 2019; Stephenson et al. 2019), and could include managed relocation of key species (Schwartz et al. 2012).

Table 3 What is dynamic ocean management?
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Driver 3: Cooperation between jurisdictions

The degree of cooperation, coordination and communication between jurisdictions at local, regional and international levels will be an important factor in influencing future outcomes related to the challenge of species redistribution in the ocean (and as articulated by Pinsky et al. 2018; Scheffers and Pecl 2019). While there is currently some localised cooperation between jurisdictions, either for particular fisheries or between particular countries, and a few international agreements for transboundary stocks or threatened, endangered or protected species (TEPs) exist, there is often no coordination in the management of different (potentially moving) stocks. Individual jurisdictions may be protective of ‘their’ stocks and hesitant to share information with adjoining regions (e.g. Spijkers and Boonstra 2017).

For a business as usual 2030, we envisage potential increases in nationalism as resources become limited and/or climate refugees increase, resulting in no substantial increase (and possible decreases) in international cooperation. International conflicts may also increase due to changes in shared stocks. In this scenario shared stocks are often not managed well because without shared data the stock is not assessed accurately and/or because regulations differ across jurisdictions leading to overfishing and eventual stock collapse (Spijkers and Boonstra 2017). With limited information sharing there are repeated and isolated instances of trial and error responses to range shifts, which leads to lags in response times and greater risk of missing windows of opportunity for mitigating collapse or preventing the establishment of problematic climate-driven invasive species (Scheffers and Pecl 2019). Another historical divergence related to deficient cooperation has been the lack of understanding and dialogue between Indigenous and traditional knowledge and natural sciences regarding the oceans.

A more sustainable trajectory for this driver by 2030 would involve widespread cooperation and coordination between regions and countries (Scheffers and Pecl 2019). Under this scenario, assessment and management decisions lead to sustainability at the stock/species (or ecosystem) level regardless of where that stock/species is located or where it moves to. This will require a greater number of transboundary agreements and institutions (Gaines et al. 2018), reform of current agreements (Oremus et al. 2020; Pinsky et al. 2018) and better information sharing (Pendleton et al. 2019), to ensure that moving resources are sustainably managed. In this future there is a clear recognition that changing species distributions result in both winners and losers, and that cooperation requires countries and international agreements to have mechanisms to compensate (e.g. side payments) "those who loose" (or those who bear the burden of most of the costs of implementation) (Miller et al. 2013). Indigenous people are not just seen as stakeholders but are more broadly recognised as rights holders. Indigenous and traditional knowledge is more widely accepted and acknowledged by western scientists, and genuine collaboration between knowledge systems substantially increases capacity to understand changes in species distributions, implications of these changes, and potential adaptation options.

Driver 4: Human adaptation

Finally, human adaptation—both social and economic—will play an important role in the ability of human communities to respond to climate-driven species redistribution, including their ability to benefit from new opportunities that arise from species shifts (Ottersen and Melbourne-Thomas 2019; Pecl et al. 2019a; Pershing et al. 2019). Research indicates that a “backward looking” strategy to adaptation performs more poorly than “forward looking” adaptation (Pershing et al. 2019). Currently, there are only isolated examples of adaptation planned and undertaken at regional or national levels (Miller et al. 2018; Pecl et al. 2019a), often with more theoretical examples than action plans. Overall, nations, regions or regional fisheries management organisations rarely actively plan for species redistributions (Pershing et al. 2018; Sumby et al. 2021). Moreover, adaptation planning is mainly incremental and in step with (or even lagging behind) actual changes, rather than being pre-emptive or transformational (Ogier et al. 2020; Pinsky and Mantua 2014). Ambiguity around ecosystem or fisheries values can lead to opaque adaptation decision processes (Jennings et al. 2016).

Under a business as usual 2030 there will continue to be slow and incremental advances in human adaptation at local, regional and global scales, mainly by trial and error, and reacting to species shifts as they occur rather than preparing for them. This scenario would likely involve continued economic reliance on species that are moving as opposed to looking forward and working to shift such dependencies dynamically.

The proactive, sustainable future for this driver would hinge on proactive adaptation, guided and informed by well-communicated, real-time or projected/predicted knowledge (linked to the monitoring and detection driver described above). Adaptation would be coordinated across scales, with links between local communities and industry for sharing social and economic indicators of change alongside ecological variables. Enhanced information sharing and awareness would build public trust in science and management, and empower the public to make more informed and adaptive choices (Pecl et al. 2019a).

Pathway for achieving a more sustainable future

We identified a set of 20 actions, each associated with one of our umbrella drivers, that together could constitute a pathway for achieving a more sustainable future under climate-driven species redistribution (Fig. 4). Because of the number of actions associated with the human adaptation driver (12 of the total 20 actions; Fig. 4), we classed these by whether they were related to (1) adaptive management, engagement communication and knowledge co-production, or (2) incentives and disincentives for adaptation. For each action we also considered which timescales (short, medium or long-term) they would most usefully take place over, where short-term is (approximately) 2021–2025, medium-term is 2025–2030 and long-term is beyond 2030. An assessment of the feasibility and impact of each action in terms of achieving the sustainable future is also indicated in Fig. 4, and Table 4 provides a summary of tactical and strategic goals across these timescales. Table S2 provides a list of risks and benefits for groups of actions.

Fig. 4
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Actions and timeframes for achieving a more sustainable future regarding climate-driven species redistribution in the ocean. Short term is 2021–2025, medium term is 2025–2030 and long term is beyond 2030. The starting point of each arrow indicates the time period in which each action might usefully be initiated. Red stars indicate actions that we considered to have high impact on achieving a desirable future outcome, and blue stars indicate actions that are considered to have high feasibility

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Table 4 Short-, medium- and long-term goals in achieving a more sustainable future under climate-driven species redistribution
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Actions associated with monitoring and detection

The actions related to our monitoring and detection driver are: more event-driven sampling, improved tools and workflows for information gathering and delivery, and large-scale long-term effective coordinated monitoring. Engagement of local and Indigenous groups to help collect data on species range shifts, including via citizen science, will be an important element in monitoring and detection. Where possible, smartphone apps for upload and download of data, combined with automated data flows, standardised collection frameworks (e.g. fisher apps all collect effort, size, location, species data), and the application of artificial intelligence for rapid processing will enhance the utility of such data. However, in cases where resources and capacity are more limited (such as in developing countries), locally appropriate technology can also be used effectively. Frainer et al. (2020) describe how many Indigenous and Community-Conserved Area’s (ICCA) undertake monitoring and detection without electronic devices and internet (for example the Kawawana in Mangagoulack Rural Community, Senegal), with benefits for communities and for conservation and management. The development of tools to integrate various science platforms will also be a key part of the coordination element of monitoring and detection. Concerted and well-funded effort to combine different sources of data—given their biases, uncertainties, limitations and strengths—will help ensure that the best available data streams are used for decision-making and that there is an accepted framework to estimate uncertainties with alternative decisions given the available knowledge (Addison et al. 2017). Such tools could better enable the comparison of new observations with baseline data (e.g. Stuart-Smith et al. 2017). Increased real time monitoring will likely increase the demand and requirement for experts to turn data into knowledge and update predictive models to inform understanding of potential futures.

In the future it is likely that legal agreements for monitoring, gear deployment and recovery will be increasingly important as species shift across national boundaries (Hobday et al. 2014). Allowing such agreements for data collection to be “platform free” will help avoid the need for re-negotiation as new technologies emerge, for example moving from sampling organisms to collecting eDNA. Retaining Indigenous control and ownership of local data will also be important as species move in the future (Table 1). Event-driven sampling in response to unusual or extreme conditions (e.g. marine heatwaves) could help identify the effects of such events on species redistribution, and could usefully be linked to pre-defined stages of range expansion and contraction (Bates et al. 2014).

Effective and coordinated large-scale, long-term monitoring will require actions by researchers, data contributors, end-users of data streams as well as other interest groups (such as tech companies). This requires the staged and supported rollout of tools that are fit and scaled for purpose, and could usefully include semi- or fully-automated report-cards, the design of data acquisition and reporting tools that are appealing and easy to use, as well as the development of methods that integrate non-traditional data collection approaches into fisheries management and conservation. The potential effects of economic disruption related to the 2020–2021 COVID-19 pandemic on investment in monitoring and detection in the next 10 years are unclear, but may in fact provide a pivot point for change in future climate-change related investment priorities.

Actions associated with managing at multiple scales

The key action related to our scale of management driver is the implementation of dynamic ocean management in space and time—including temporal closures—and at both small and large scales (Table 3). In many ways, achieving effective dynamic ocean management requires a complete paradigm shift, hence we provide some examples of the types of actions that can be taken to achieve this. At the local scale these could include activities by Indigenous and local community groups (Indigenous and Community Conserved Areas), by individual companies (e.g. the use of real time feedback to fallow leases in aquaculture), co-management structures (e.g. Table 5) and informal agreements to leave areas closed or open (subject to consideration of risks such as disease or overfishing). At larger scales, dynamic ocean management can be implemented by national resources management agencies (within their Exclusive Economic Zones) and by Regional Fisheries Management Organisations in areas beyond national jurisdiction. Importantly, dynamic ocean management requires adequate availability of information and delivery of that information (and so there are strong links to actions related to monitoring and detection), as well as stewardship and evidence of compliance.

Table 5 Case study on the use of abalone royalties to control range shifting urchins (Tasmania, Australia)
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Actions associated with cooperation between jurisdictions

Improving cooperation between jurisdictions will require three key, overarching reforms to legal and policy frameworks: (1) implementing new ‘facilitative’ arrangements for cooperation; (2) improving innovation and coordination across sectors and governance scales within nation states; and (3) improving communication and cooperation between nation states. These reforms will depend on the active involvement of multiple diverse actors such as government and marine management agencies; fishing, aquaculture and tourism industries; researchers; conservation groups; and local communities.

First, improving coordination will require new ‘facilitative arrangements’ such as incentives for integrated management, the transfer of resource rights, and integrating a clear definition of what constitutes ‘best available science’ into legal frameworks at all scales. Such arrangements can help to clarify obligations on decision-makers to take a more future-focused approach and enhance the adaptiveness of decision-making to changing species distributions.

The second requirement for improving cooperation is to ensure engagement between the multiple diverse sectors and communities that will be affected by shifting species ranges, such as fishing and energy industries, Indigenous communities and corporations, tourism, conservation and recreational users across governance scales (see Fischer et al. 2020; Haas et al. 2020; Smith et al. 2020).

The third requirement for improving cooperation between jurisdictions requires nation states to improve communication and cooperation with each other, as species shift across international borders. A crucial starting point will be to elicit agreement on overarching high level principles and objectives to guide decision-making at different scales. This may include re-asserting the principles of the United Nations Fish Stocks Agreement 1995 and ensuring that national laws and regulations are consistent with them (see Haas et al. 2020; Smith et al. 2020).

Regional organisations and states within regional blocs should review existing agreements and measures, and consider negotiating (or re-negotiating) new agreements where similar interests or overlapping fisheries support cooperation. Successful examples of networks of marine protected areas or fisheries management that consider ocean connectivity (e.g. McLeod et al. 2009; Rassweiler et al. 2020; see also Table 3) provide lessons for developing incentives, priorities and obligations to enhance cross-jurisdictional marine connectivity.

Actions associated with human adaptation

Like many climate change challenges, adaptation to shifting species and fisheries will require engagement and responses across all aspects of society. The visibility of species on the move has tremendous potential to connect people with the reality of climate change through their ‘lived experience’, for example recreational fishers and divers observing species shifts in coastal environments (e.g. Pecl et al. 2019b). Scientists and institutions can adapt by adopting emerging approaches such as knowledge co-production (Norström et al. 2020) and research funding bodies could become more flexible to support non-traditional applications, applied science, and projects that involve international researchers. At the societal and decision-making levels, enhanced appetite for risk and flexibility to learn from “mistakes” as part of adaptive management will likely be needed (Catalano et al. 2019), with longer-term decision-making decoupled from shorter-term election cycles. Education programs could also better support critical and adaptive thinking. Regulatory frameworks (and social license) for private industry, such as a requirement for making data publicly available (including requirements for monitoring) could further support adaptation in the context of marine species redistribution. This could also include engagement of researchers with private sector/insurance industry on understanding risk and industry requirements to report observations of new pathogens and parasites. Finally, a system in which some form of bond was paid for risky activities would enable such funds to be used for mitigation and restoration. For example, decommissioned sites (such as offshore oil and gas infrastructure) could be used to experiment with new habitat for species redistribution.

Further considerations and challenges

Our treatment of the issue of climate-driven marine species redistribution, and in particular our consideration of what might be done in the 2021–2030 timeframe to move towards a more sustainable future in the face of this challenge, is not intended to be exhaustive. Moreover, the effects of the 2020-2021 COVID-19 pandemic mean that some of the drivers and related actions we describe are currently in a state of flux. While we do not yet have the evidence to identify how these might look once the pandemic has passed, we emphasise that there will likely be important opportunities to pivot these drivers in a more sustainable direction in the near future. Our considerations of the challenge of climate-driven species redistribution are also partly constrained by the expertise of the contributing authors and by the particular methodology we have adopted. While we believe that the set of actions we have outlined does provide a tangible and achievable pathway towards a more sustainable 2030, there are a series of important considerations for addressing the challenge of species redistribution that are either not captured or only partially captured in the drivers and actions described in this paper. Some particular considerations to highlight include:

  1. 1.

    The effect of species redistribution on cultural connections for Indigenous communities. Indigenous communities need their rights respected and recognized to ensure and facilitate their capacity to understand and get to know new species and their associated spirits within their territories (Table 1). New species and beings have to be welcomed and learned about once they arrive in the Indigenous home areas. Development of ranger programmes, community-based monitoring using cultural indicators, establishment of Event Databases of marine change and resourcing Indigenous governance of the sea are seen here as priorities. Some changes, such as the recent proliferation of Pink Salmon across the Barents and North Atlantic has caused additional burdens on Sámi fisheries (Mustonen et al. 2018) and represents an originally human induced introduction of new species to a new area that has since gone viral with potentially cascading impacts for the whole ecosystem on freshwater and at sea. This case illustrates the complexity of the realities facing Indigenous communities today.

  2. 2.

    Considerations related to the management of range-shifting ‘invasive’ species (Scheffers and Pecl 2019), including:

    1. (i)

      decisions on whether to protect such species that may be at risk of becoming functionally extinct in their native range; and

    2. (ii)

      investment of effort in protecting native species that have no long-term chance of surviving in changed habitat, but obligations to remove invasive species (that may end up being the only thing left, or even provide longer-term unexpected benefits).

  3. 3.

    Management decisions specifically related to translocation of species and/or the creating of stepping stones and refugia for conservation (D'Aloia et al. 2019).

Conclusions

Climate-driven species redistribution is already one of the most pronounced and challenging impacts of ocean warming at local and global scales. Understanding how to tackle this challenge at multiple scales, and acting strategically over the coming decade, will be important to ameliorate the negative impacts of these changes, to respond in an informed and coordinated way to opportunities that might arise from these shifts, and to move towards a more sustainable future of ocean stewardship. Here we have outlined a set of key drivers and associated, tangible actions, including knowledge exchange, adaptive management and cooperation, that together could form a pathway towards this sustainable future.