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REVIEW article

Front. Ecol. Evol., 24 June 2021
Sec. Conservation and Restoration Ecology
This article is part of the Research Topic Marine Ecosystem Assessment for the Southern Ocean: Meeting the Challenge for Conserving Earth Ecosystems in the Long Term View all 25 articles

Local Drivers of Change in Southern Ocean Ecosystems: Human Activities and Policy Implications

  • 1British Antarctic Survey, Cambridge, United Kingdom
  • 2Faculty of Science and Engineering, University of Hull, Hull, United Kingdom
  • 3Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia
  • 4Department of Agriculture, Water and the Environment, Australian Antarctic Division, Kingston, TAS, Australia

Local drivers are human activities or processes that occur in specific locations, and cause physical or ecological change at the local or regional scale. Here, we consider marine and land-derived pollution, non-indigenous species, tourism and other human visits, exploitation of marine resources, recovery of marine mammals, and coastal change as a result of ice loss, in terms of their historic and current extent, and their interactions with the Southern Ocean environment. We summarise projected increases or decreases in the influence of local drivers, and projected changes to their geographic range, concluding that the influence of non-indigenous species, fishing, and the recovery of marine mammals are predicted to increase in the future across the Southern Ocean. Local drivers can be managed regionally, and we identify existing governance frameworks as part of the Antarctic Treaty System and other instruments which may be employed to mitigate or limit their impacts on Southern Ocean ecosystems.

Introduction

The environment and ecosystems of the Southern Ocean are influenced by phenomena such as atmospheric and oceanic circulation acting at a global scale, as well as by human activities or processes that cause physical or ecological change in specific locations. These influences, or drivers of ecosystem change, may act in distinct ways in different regions, operate at different spatial scales and rates of change, and often interact with each other (Millennium Ecosystem Assessment, 2005). In the context of the Marine Ecosystem Assessment of the Southern Ocean (MEASO), local drivers are defined as those that influence ecosystems at a particular location or series of locations within the Southern Ocean, that can often be managed regionally. In contrast, global drivers have an influence over the whole of the Southern Ocean, and need to be managed through global initiatives (Morley et al., 2020).

The local drivers considered here are: pollution (both marine and land-derived), non-indigenous species (NIS), tourism and other human visits, recovery of previously exploited marine mammals, fishing, and coastal change as a result of ice loss and iceberg scour (Figure 1). This paper focuses on the ten Antarctic and sub-Antarctic MEASO areas which broadly cover (but do not align precisely with) the area managed by the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) (Figure 2). These sectors encompass the coastlines of the Antarctic continent and its outlying islands and the sub-Antarctic islands, where the majority of scientific research stations and tourist landing sites are located (Figure 3). The areas most visited by humans tend to be the best studied, where the trends and impacts are best known.

FIGURE 1
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Figure 1. Summary of local drivers of change influencing Southern Ocean ecosystems.

FIGURE 2
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Figure 2. Areas for assessing status and trends of local drivers in the Marine Ecosystem Assessment for the Southern Ocean (black lines). Sectors are divided meridionally: corresponding names of sectors are outside the circle. Zones extend from the coast to the Southern Antarctic Circumpolar Front (Antarctic), to the Subantarctic Front (Subantarctic) and to the Subtropical Front (Northern). Seas are marked in the Antarctic Zone as (1) Davis, (2) Cooperation, (3) Cosmonaut, (4) Riiser-Larsen, (5) Haakon VII, (6) Lazarev, (7) Weddell, (8) Scotia, (9) Bellingshausen, (10) Amundsen, (11) Ross, (12) Dumont D’Urville. Islands in the CCAMLR area include Heard (HI), Isle Kerguelen (IK), Crozet (CI), Prince Edward-Marion (PEM), Bouvet (BI), South Sandwich (SS), South Georgia (SG), South Orkney (SO), Ob and Lena Banks (OLB), and South Shetlands (not initialled but found on the north-western side of Antarctic Peninsula). Grey lines indicate the CCAMLR reporting areas (Subareas and Divisions).

FIGURE 3
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Figure 3. Regions of highest land-based human activity (scientific research stations and tourist visits). Maximum occupancy of coastal Antarctic research stations (www.comnap.aq) and mean annual visitor numbers (2003/4-2014/15 seasons – IAATO) for Antarctica and the 2014/2015 season for South Georgia (www.gov.gs).

Even in one of the least impacted oceans on Earth (Halpern et al., 2008), local drivers have at times been greater than can be sustained by the environment, and whilst drivers such as the presence of non-indigenous species and iceberg scour may be projected to increase in particular locations, others, such as the exploitation of marine mammals, and land-derived pollution, have passed their historic peak and have either ceased altogether or are declining (Duarte et al., 2020). The specific effects of local drivers on Southern Ocean species and ecosystems are dealt with in other papers published in this research topic (e.g., Bestley et al., 2020; Brasier et al., 2021; Caccavo et al., in press; Johnston et al., in review; McCormack et al., in review). Cavanagh et al. (2021) also considers the risk of climate change acting together with local human activities, and future impacts on the capacity of the ecosystem to deliver services such as fisheries.

The nature and scale of local drivers have differing consequences and magnitude at locations around continental Antarctica and the sub-Antarctic islands. Here, we assess the status of local drivers in the main regions of human activity of the Southern Ocean. As far as possible, given that records are limited prior to the 1980s, we assess the status and trends of drivers in the past. In doing so, we seek to establish a baseline of information on historical local drivers for use in ecological assessments of how Southern Ocean ecosystems have changed and may be changing in the future.

Monitoring the magnitude of some local drivers (such as fishing effort), and their impacts in specific locations (e.g., point source pollution at some research stations) provides a medium to high level of certainty on recent trends. However, the absence of monitoring of local drivers and related biological and environmental parameters across much of the Southern Ocean means that levels of certainty about the nature and extent of impacts and projected trends are generally low for those remote areas. No single driver acts in isolation and there is a high level of certainty that cumulative impacts will result from the interaction of local drivers with global drivers, despite a lack of understanding of the specific effects and projections of such interactions.

All human activities in the Southern Ocean, other than whaling, are regulated under the instruments of the Antarctic Treaty System (ATS). While this management aims to minimise impacts to the environment (Hughes et al., 2018), and to assess the cumulative impacts and interactions of both local and global drivers and their projected trends, this has not yet been fully achieved in practice. This is due in part to the separate consideration of different human activities by different components of the ATS (Grant et al., 2013), as well as a lack of integrated consideration of the effects of global drivers such as temperature, ocean circulation or sea ice extent within management frameworks (CCAMLR, 2017).

Since the first humans arrived in the region during the late 18th century and began to exploit its living resources, local drivers have had an impact on Southern Ocean ecosystems. The initially uncontrolled harvesting of marine mammals (firstly of fur seals, followed later by elephant seals and whales), as well as penguins hunted for oil, resulted in sharp declines of local and regional populations, and the assumed local extinction of some species, such as Antarctic fur seals at South Georgia (Hoffman et al., 2011). Harvesting of finfish was first undertaken in the Southern Ocean in the 1960s, contributing to the collapse of fish stocks that have yet to recover (e.g., notothenioids in the Scotia Sea region, Kock et al., 2007). This was followed by the start of krill fishing in the 1970s, and fishing remained unregulated until the establishment of CCAMLR in 1982, but even then controls on fisheries took some years to develop (Constable et al., 2000). The near extirpation of many large cetaceans over a sustained period during the peak of whaling activities during the first half of the 20th century may have further consequences as these species continue to recover (Roman et al., 2014). Whilst CCAMLR’s current management measures aim to uphold the precautionary approach of ensuring that activities should have a low risk of causing long-term adverse effects, fishing activities still have the potential to drive change in populations of harvested species, as well as those of associated and dependent species, such as the decline of albatross populations as a result of incidental mortality in the toothfish fishery (Michael et al., 2017; Pardo et al., 2017; Bestley et al., 2020). Local drivers, including the activities of single fishing vessels, can therefore contribute to regional, long-term change.

With no Indigenous population on the Antarctic continent, or on most sub-Antarctic islands (with the exception of Polynesians thought to have visited and occupied some of the New Zealand sub-Antarctic islands as early as the 12th century), human activities on land have only had an impact since the first visits of sealers and explorers in the early 19th century. It was not until the second half of the 20th century that the footprint of land-based human activity began to expand, with scientific research and subsequently tourism both increasing in recent decades, in terms of numbers and geographical scope, as well as a diversification of activities (Pertierra et al., 2017; Brooks S.T. et al., 2019). The numbers of people visiting the Antarctic continent and sub-Antarctic islands remain very low, with the vast majority of the coastline and the interior rarely or never visited. Nevertheless, localised human activities on land have the potential to change or disrupt marine species and ecosystems at a local or even regional scale, especially where multiple drivers interact to generate cumulative impacts, where they are exacerbated by the effects of global drivers such as warming temperatures, or where they are the result of accidents or unforeseen events.

Here, we discuss specific local drivers in terms of their known current spatial and temporal extent, and their interactions with the Southern Ocean environment. We also reflect on how these local drivers may be positively or negatively affected by others, including global drivers. We summarise projected increases or decreases in the influence of local drivers, and projected changes to their geographic range, based on evidence from the scientific literature. Where appropriate, the level of confidence in a conclusion is given according to the approach of the IPCC (Mastrandrea et al., 2011). When not supported by a reference cited in the text, we judged confidence from the levels of agreement we observe in the scientific literature and the amount of evidence presented to support the conclusion, including consideration of any contrary evidence. The levels of confidence are not to be used as the inverse of confidence for alternative hypotheses, as those alternatives may not be addressed in the literature. Finally, we identify existing governance frameworks as part of the ATS and other instruments that have specific relevance to local drivers, and which may be employed to mitigate or limit their impacts on Southern Ocean ecosystems (Lee and Chown, 2007).

Local Drivers

Marine-Derived Pollution

The Southern Ocean has relatively few direct sources of human-derived marine waste, so the input of pollutants is primarily from local shipping, fisheries, research station resupply activities or transported from further afield (Slip and Burton, 1991; Walker et al., 1997; Barnes et al., 2010; Waller et al., 2017; Ryan et al., 2019). Despite its remote location and distance from human habitation, the impact of marine debris on Southern Ocean wildlife has been reported since the 1970s. This includes entanglement of marine mammals (Payne, 1979; Bonner and McCann, 1982; Arnould and Croxall, 1995; Waluda and Staniland, 2013), and the ingestion and entanglement of debris by seabirds (Van Franeker and Bell, 1988; Huin and Croxall, 1996; Nel and Nel, 1999; Ryan et al., 2016; Phillips and Waluda, 2020). Beached marine debris has been reported from various oceanic shores in the Southern Ocean (Gregory et al., 1984; Ryan, 1987; Slip and Burton, 1991; Torres and Jorquera, 1995; Gregory and Ryan, 1997; Walker et al., 1997; Convey et al., 2002; Barnes and Fraser, 2003; Monteiro et al., 2018; Waluda et al., 2020). Floating debris such as fishing buoys and packaging bands have also been observed as far south as 73°S, in the Bellingshausen Sea (Barnes et al., 2010). In addition to this “macro-debris” (i.e., items >5 mm), recent work has suggested that microplastics (items <5 mm; Thompson et al., 2004), from both primary sources and the breakdown of larger items, are an emerging area of concern in the Southern Ocean. To date, microplastics have been found in pelagic waters (Isobe et al., 2017; Lacerda et al., 2019; Suaria et al., 2020), shallow marine sediments (Waller et al., 2017; Reed et al., 2018), benthic invertebrates (Sfriso et al., 2020), pelagic invertebrates (Jones-Williams et al., 2020), seals (Eriksson and Burton, 2003), and penguins (Bessa et al., 2019; Le Guen et al., 2020). While current concentrations of microplastics may be negligible on the Southern Ocean scale, they can be high at local scales if concentrated at point sources (Waller et al., 2017). The seafloor is often a final resting place for marine debris and microplastics, even in the Southern Ocean (Cunningham et al., 2020), although the impact on benthic species or foodwebs remains largely unknown (Horton and Barnes, 2020; Brasier et al., 2021).

The risk from point sources of pollution is highest on the northwest Antarctic Peninsula as this area has the highest human footfall including 35 coastal research stations (46% of the total number of research stations across the Antarctic continent) (COMNAP, 2017), and all of the top twenty most visited Antarctic tourist sites, which accounted for 68% of all landings in the 2017/18 season (IAATO, 2018) (see Figure 3).

Although they occur rarely, oil spills can have a greater significance in Antarctica then elsewhere in the world (Clarke and Harris, 2003), with substantial impacts on sediment meiofauna (Stark et al., 2017), littoral species (Kennicutt, 1990) and seabirds (Reid, 1995). The largest reported spills have been due to the sinking of vessels, including the ARA Bahia Paraiso (1989, 600,000 L diesel released near the US Palmer Station, Antarctic Peninsula), MV Nella Dan (1987, 270,000 L light marine diesel released near Macquarie Island, sub-Antarctic) and MV Explorer (2007, 185,000 L diesel released near King George Island, South Shetland Islands), which resulted in impacts including the mortality of marine and intertidal invertebrates, oiling of penguins, and reproductive failures and declines observed in local bird populations (Eppley and Rubega, 1990; Kennicutt, 1990; Kennicutt et al., 1991; Smith and Simpson, 1995; Chile, 2008).

Most microplastics and other pollutants are global in origin and transported into the Southern Ocean through atmospheric and oceanic teleconnections. The transport of plastics, heavy metals and other pollutants in the Southern Ocean via the atmosphere, cryosphere and ocean currents is further considered in Morley et al. (2020). The impacts of persistent organic pollutants (POPs) originating from outside the Southern Ocean on higher predators are also discussed in Bestley et al. (2020).

Land-Derived Pollution

Across Antarctica, research stations and land-based scientific activities can act as local sources of land-derived pollution, hydrocarbons, POPs, wastewater effluent, and macro- and micro- plastics (Munari et al., 2017; Reed et al., 2018; Absher et al., 2019), with impacts observed predominantly at a local scale (Tin et al., 2009). Operation of ships, aircraft, research stations and field camps in Antarctica relies upon the combustion of hydrocarbons as a fuel source. Currently 58% of coastal research stations use a combination of fossil fuels and renewable energy. Logistical support for these stations also represents a potential pollutant load with ∼555 ship visits and 547 flights annually (data from COMNAP, 2017). Potential negative environmental consequences of spills are made all the more serious due to the typical lack of capacity within national Antarctic programmes to mount effective clean-up operations in the event of an incident.

Under the Protocol on Environmental Protection to the Antarctic Treaty (agreed 1991, entered into force 19981), the disposal of most wastes within the Antarctic Treaty area (the area south of latitude 60°S) is prohibited. This includes the discharge of oil, noxious liquid substances and garbage from ships, but disposal of food waste and sewage is permitted within 12 nautical miles of the coast. National Antarctic programmes are encouraged to remove sewage and domestic liquid waste generated at research stations; however, due to the logistical difficulties of removing sewage waste from Antarctica, coastal research stations may dispose of sewage into the near-shore environment, provided there is capacity for initial dilution and rapid dispersal. No treatment of the sewage waste is required under the Protocol, except for maceration in cases where the number of personnel on station exceeds c. 30 individuals. Sewage can contain non-native microorganisms, pathogens, genetic fragments and a wide range of pollutants including heavy metals, hydrocarbons, detergents, microplastics and flame-retardant chemicals (for reviews see: Tin et al., 2009; Waller et al., 2017; Stark et al., 2019). Viable sewage-associated bacteria have been detected in high concentrations around outfalls and up to 2 km away, along with above-background concentrations of heavy metals, persistent organic pollutants (Hale et al., 2008; Wild et al., 2015; Stark et al., 2016), and other organic contaminants (Emnet et al., 2015), hydrocarbons, nutrients and faecal sterols in marine sediments (Lenihan and Oliver, 1995; Hughes, 2004; Hughes and Nobbs, 2004; Hughes and Thompson, 2004; Leeming et al., 2015; Stark et al., 2016).

The impacts of long-term sewage release to near-shore environments is not well understood, but sewage release from research stations has caused local changes in benthic biodiversity and abundance and may have implications for wildlife health (Conlan et al., 2004; Stark et al., 2016). In light of developments in sewage treatment technologies, the minimum standards set out in the Protocol may no longer be considered acceptable by some Parties, and increasing numbers of sewage treatment plants are being installed, particularly at larger Antarctic research stations (Hughes, 2003; Gröndahl et al., 2008; Brasier et al., 2021).

Other sources of Antarctic marine pollution from research stations may include macroplastics that are blown into the ocean, due to poor waste management, or historical waste that was discarded prior to the entry into force of the Protocol (Crockett and White, 2003). Historic waste dumps located on ice sheets or ice shelves may also emerge at the ice front to be released into the marine environment, for example, the buried and abandoned Halley III Research Station calved off the Brunt Ice Shelf into the Weddell Sea in 1993 (Aronson et al., 2011). Following deployment, scientific instrumentation may also be inadvertently or knowingly lost to the marine environment. Examples include meteorological radiosondes and balloons, expendable bathythermographs (XBTs), seabed experimental apparatus damaged by iceberg collisions, lost Argo floats or autonomous underwater vehicles and unrecoverable weights to which scientific devices are attached.

With a more comprehensive understanding and implementation of the Protocol, including improving waste management practices, levels of environmental pollution may decline, particularly as alternative technologies for power generation are employed (e.g., the Belgian Princess Elisabeth Station2). Nevertheless, as more research stations continue to be established in previously little impacted locations (e.g., the Turkish station on Horseshoe Island, Antarctica Peninsula, and new Chinese Station on Inexpressible Island, Ross Sea Region) and the human footprint across the continent expands, minimising environmental impacts becomes ever more important if SO marine environments are to remain close to pristine (Brooks S.T. et al., 2019). Locations with concentrations of research station infrastructure may be particularly vulnerable to marine pollution, particularly where aging infrastructure has led to chronic or catastrophic fuel spills that have affected the marine environment (Wilkness, 1990; Peter et al., 2008).

Tourism and Visitation

Antarctic tourism began in the 1950s and today is one of the three most significant human activities undertaken in the region, alongside scientific research and commercial fishing. In general, the impacts caused by national governmental operators in their delivery of science and other strategic priorities through the construction of research stations and other infrastructure may be locally greater than the impacts caused by Antarctic tourism (Tin et al., 2009). However, the growth of the tourism industry, and increasing diversity of activities it provides, will contribute to increasing human footprint in Antarctica, with a resulting loss of wilderness and increase in local human impact (Eijgelaar et al., 2010; Liggett et al., 2011; Pertierra et al., 2017). Since its establishment in 1991 the majority of Antarctic tour operators are members of the industry body IAATO (International Association of Antarctica Tour Operators), which coordinates tourism shipping activities and represents the industry at the normally annual Antarctic Treaty Consultative Meeting.

While the Antarctic tourist industry is driven by global demand, tourist activities influence sites at a local scale. The majority (>95%) of tourism activity occurs in the Antarctic Peninsula region, but visitors also travel in smaller numbers to the Ross Sea, and sites along the coast of East Antarctica (Figure 3). Most tourists visit Antarctica on cruise vessels that call at a number of coastal sites for brief shore-based activities, after which they return to the vessel. Around 50 yachts travel to the Antarctic each year, which can be commercial operations as well as private exploration (United Kingdom, Argentina, Chile in conjunction with the International Association of Antarctica Tour Operators, 2018). In recent years the tourist season has been extended to more than 150 days (November to April) due to the use of ice-strengthened passenger vessels, with an associated steep rise in tourist numbers. The 2018–2019 season recorded an increase of 8% from the previous year, with a total of 56,186 tourists visiting. Numbers increased again by 32% to 74,401 for the 2019/2020 season (IAATO, 2019), although this was curtailed in early 2020 due to the effects of COVID-19. The 2020/2021 season saw a near cessation of Antarctic tourism due to the pandemic, and it is not known how long it will take for the cruise industry to recover (Hughes and Convey, 2020).

Tourism has occurred at c. 250 locations in Antarctica, with the great majority concentrated at a small number of sites located on the northern Antarctic Peninsula and offshore islands (e.g., Neko Harbour, Goudier Island, Half Moon Island and Cuverville Island). Bender et al. (2016) reported that in the 2013/2014 season, just 15 of the Antarctic Peninsula sites made up 68% of all passenger landings. The level of human impact at these sites will depend upon their resilience, however, few sites have been assessed and monitored in this regard (see Tejedo et al., 2012, 2020; Russell et al., 2013).

Impacts caused by increasing visitation and the potential establishment of permanent infrastructure (noting that these are not exclusive to tourism) could include: a loss of wilderness and aesthetic values (Summerson and Tin, 2018), increased risk of the introduction of non-indigenous species (Chown et al., 2012), increased risk of pollution events at both small (e.g., dropping of litter) and large scale [e.g., fuel spill from a ship (Aronson et al., 2011)], disturbance of wildlife by humans (Burger and Gochfeld, 2007; Tejedo et al., 2016; Dunn et al., 2019) or aircraft (Hughes et al., 2008), increased atmospheric emissions from vessels, aircrafts and land vehicles (Amelung and Lamers, 2007; Eijgelaar et al., 2010) and increasing cumulative impacts at ice-free locations where scientific, logistic and tourism activities coincide (e.g., Deception Island) (Pertierra et al., 2014).

Predicted climate change impacts such as increases in the area of ice-free ground (Lee et al., 2017), reductions in sea ice extent, and shifts in the distribution ranges of wildlife, are likely to affect the tourism industry by potentially changing access to established visitor sites, facilitating access to new locations and affecting the wildlife present at established landing sites.

An increasingly diverse range of activities are available to tourists including overnight camping, mountain climbing, visits to penguin colonies (including emperor penguins), whale watching, trips on small boats, swimming, SCUBA and submersible diving, underwater Remotely Operated Vehicles (ROVs), Remotely Piloted Autonomous Systems (RPAS), stand-up paddle boarding, photography, helicopter flights, kayaking, skiing/snowboarding, research station visits, as well as more extreme activities such as marathon running, long distance treks (e.g., by ski or using kites), paragliding, heli-skiing and base jumping. Many of these activities may have direct impacts upon marine species, either through disturbance of a range of biological groups [e.g., from the disturbance of benthic sediment population by the now prohibited practice of digging geothermally-heated bathing pits at the shoreline on Deception Island, to disturbance resulting from visitation of penguin colonies (Dunn et al., 2019)], generation of underwater noise (ROVs, large and small boat operations) and potential dispersal of non-native species [i.e., through repeated use of equipment at a series of locations without adequate cleaning during intervening periods (McCarthy et al., 2019)]. As ship traffic has continued to increase, the risk of ship strikes of whales has also increased, with nine whale strikes reported by IAATO to the International Whaling Commission (IWC) since 2001. Recognising this, IAATO has introduced new procedures for operations in the vicinity of whales, including limiting vessel speed to 10 knots at two marine sites to the west of the Antarctic Peninsula (IAATO, 2019).

Non-indigenous Species (NIS)

Antarctica and the outlying islands within the Polar Front typically have the highest proportion of native species of any global localities. For example of the >1,200 species recorded from the South Orkney archipelago, only two (0.2%) are considered to be non-indigenous (Barnes et al., 2009) and some southern polar islands such as McDonald and Bouvetoya may even have none (Frenot et al., 2005). It is now clear that the Polar Front has more porosity than once thought (Barnes et al., 2006), yet still presents a considerable obstacle isolating the Southern Ocean from much species transport from elsewhere (Clarke et al., 2005). However, ships, aircraft and even plastic now cross the Southern Ocean, potentially carrying non-indigenous species (Lewis et al., 2003; Morley et al., 2020), although the risk is geographically uneven given the distribution of stations and tourist sites (Figure 3), and more risk is borne by the more visited Scotia Arc and northern Antarctic Peninsula. Only a small proportion of species which travel such a journey, survive and remain viable, and an even smaller proportion are able to recruit and establish. Environmental conditions are most similar to cool temperate continental shelves around the western Antarctic Peninsula and Scotia Arc, which may increase the risk in these areas. Furthermore, regional warming and sea ice losses have been highest within those areas, and this risk distribution is borne out by establishments of non-indigenous species recorded to date (Frenot et al., 2005; Barnes et al., 2006; Avila et al., 2020; Cárdenas et al., 2020; Hughes et al., 2020). With more research stations, of which several maintain year-round SCUBA activities, this region is also better monitored than elsewhere, although still far from adequate.

Over the last few decades there have been reports of single life stages of several marine species reported from various locations around the Scotia Sea and northern Antarctic Peninsula (for a recent overview see McCarthy et al., 2019). Considerable scientific and public discussion has occurred over the potential changing distributions of native fauna (most obviously stone crabs – Lithodidae) and the possible vulnerability of life on Antarctica’s sea beds (Thatje and Fuentes, 2003; Griffiths et al., 2013). A single Mytilid mussel was found at Grytviken, South Georgia (Ralph et al., 1976), and Mytilids have also been reported from King George Island (Cárdenas et al., 2020), but establishment was not recorded in either case. However, new records of macro algae within the caldera at Deception Island may represent new discoveries of indigenous or non-indigenous species, detected due to increased sampling effort (Clayton et al., 1997). An invasive and potentially ecologically harmful bryozoan (Membranipora membranacea) has also been discovered on non-native kelp rafts at Deception Island (Avila et al., 2020). These kelp rafts, usually Durvillaea antarctica or Macrocystis pyrifera, have been demonstrated to be able to cross the Polar Front with evidence from genomics and oceanographic models (Fraser et al., 2018). Recently the polychaete worm Chaetopterus variopedatus has established and started spreading in the shallows at South Georgia (see Hughes et al., 2020). Once established, marine invasions have proved virtually impossible to reverse. There has been considerable concern that non-indigenous species establishments around Antarctica might prove to be particularly devastating because of the long Southern Ocean semi-isolation from biota elsewhere, but also due to the intensity of climate change there (Brasier et al., 2021).

Exploitation of Marine Species

The long history of human exploitation of marine species in the Southern Ocean developed in a progressive sequence of seals and penguins, whales, finfish, then krill. In terms of methods of exploitation, it went from capturing and killing individual marine mammals, to the use of industrial demersal and pelagic trawls and more recently to the use of demersal longlines to capture toothfish. Illegal, unreported and unregulated (IUU) fishing began in the mid-1990s using longlines but evolved to use indiscriminate gill netting from 2008. Detailed reporting of species caught, along with the geolocation of catches, only began in the 1990s. Most biomass was extracted from the Southern Ocean prior to this time. Here we present the time series of exploitation as best we can from available records to date. These time series indicate the pressures that local exploitation may have had on the species involved, but also the relative difference in food web effects in different MEASO areas. We also report on ‘incidental mortality’ which is the unintentional capture or death of species not targeted by the fishery.

Marine Mammals

Exploitation of seals began in the eighteenth century with harvesting mostly occurring in the early 19th century when seal populations were decimated across many of the subantarctic islands. Reconstruction of the catch of seals has been difficult, requiring the interpretation of log books from vessels exploiting seals on subantarctic islands and from trade figures (Foley and Lynch, 2020). For many areas such as in the Indian Ocean sector, few records exist but the reported timeline is similar with the greater part of sealing finishing by the mid-19th century (King, 1959). A reconstruction of the Antarctic fur seal population at South Georgia has estimated annual takes of Antarctic fur seals of up to 150,000 animals on that island alone (Foley and Lynch, 2020). Similar takes are reported for seals and sea lions south of Australia and New Zealand (Ling, 1999).

Pelagic whaling caused the near extirpation of large whale species prior to the moratorium on commercial whaling in 1986 (Rocha et al., 2014). Reconstruction of whale catches has come from log books and records from shore stations and factory vessels during this time. Records are available from the Secretariat of the IWC. The available data on the numbers of different species caught were aggregated into four main periods of whaling – prior to the Second World War (WW2), a period of active whaling from 1945 to 1970, a period where depletions of the larger whales were obvious in the catch records from 1970 to 1986, and the period since the moratorium came into effect (Figure 4).

FIGURE 4
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Figure 4. Total catch (tonnes) of Southern Ocean cetacean species (right legend) in four different periods of whaling. Data from IWC Catch Records. Y-axis is on a log10 scale.

The potential impacts on the ecosystem of such removals in the different MEASO areas is shown by multiplying the catch in numbers by an approximate average mass of an adult male whale of each species. We note that these species migrate to lower latitudes of the Southern Hemisphere in winter and many were also hunted there, so these estimates represent a minimum value in terms of biomass removed. Even though this is approximate, the results presented in Figure 5 show that most biomass was removed from the Antarctic Zone followed by the Subantarctic Zone and most direct removals of whales occurred in the Atlantic and Central Indian Sectors.

FIGURE 5
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Figure 5. Total accumulated catch (million tonnes) of Southern Ocean cetaceans in each sector (right legend) from each zone of MEASO areas as shown in Figure 2. Data from IWC Catch Records.

The time series of biomass removals is shown in Figure 6. The earliest whaling in the 20th century resulted in similar removals from the subantarctic zone in the Atlantic Sector, around South Georgia, and around the Antarctic Peninsula in the East Pacific Sector, as land stations were established in these locations for processing. After that and prior to WW2, the use of factory ships enabled more offshore hunting, with onboard processing eliminating the need to use land stations. Substantial biomass was removed from Antarctic Zone in the Atlantic Sector (Weddell Sea) and from the East Antarctic area of the Central Indian Sector. After WW2, catches were more widespread, including the Ross Sea in the West Pacific Sector in the 1950s and 1960s. By 1970, Southern Ocean areas were considered fished out, and the main fishery had moved north. Hence biomass taken from the Antarctic Zone was negligible compared to steady catches of mostly sei and fin whales in the Subantarctic and Northern Zones of the Central Indian and West Pacific Sectors.

FIGURE 6
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Figure 6. Time series of catches (tonnes) of all Southern Ocean cetaceans in each sector (central right legend) from each zone (labelled panels) of MEASO areas as shown in Figure 2. Data from IWC Catch Records.

Finfish and Krill

The dominant fisheries in the Southern Ocean began with groundfish fishing by predominantly the Soviet Union over the 1970s and 1980s (Figures 7, 8). During this time, Notothenia rossii was fished close to extinction throughout the island shelf areas in the Antarctic and Subantarctic Zones of the Southern Ocean (Kock, 1992). Other groundfish species also became depleted throughout the Subantarctic Zone prior to the coming into force of CCAMLR in 1982 (Kock et al., 2007) and ended by 1990. Two bentho-pelagic species from this period remain targeted in the Southern Ocean. The mackerel icefish, Champsocephalus gunnari, is targeted in the Subantarctic Zone at South Georgia (Atlantic Sector) and Heard Island (Central Indian Sector) using trawls. Toothfish, Dissostichus species, are targeted throughout the Southern Ocean using longlines, although the catch for Dissostichus eleginoides (Patagonian toothfish) in the Subantarctic Zone far outweighs the catch of Dissostichus mawsoni (Antarctic toothfish) in the Antarctic Zone. Fishing for Antarctic krill (Euphausia superba) began in the 1970s and increased substantially in the 1980s, only to decline again in the 1990s following the collapse of the Soviet Union. Catches of krill are increasing again but are not yet at the levels of the 1980s. Other fisheries that have been explored include squid, mesopelagic fish (mainly myctophids), Antarctic silverfish (Pleuragramma antarctica) and lithodid crabs.

FIGURE 7
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Figure 7. Total catch (tonnes, all taxa) in each major fishery (legend) in the CCAMLR Area in each decade from the 1960s to the present. Data from the CCAMLR Statistical Bulletin 2019.

FIGURE 8
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Figure 8. Total accumulated catches (tonnes) of four major groups of target species in each sector (legend) from each zone for MEASO areas as shown in Figure 2. Groundfish are primarily Notothenia rossii, Gobionotothen gibberifrons, Patagonotothen guntheri, and Lepidonotothen squamifrons. Toothfish are Dissotichus eleginoides and D. mawsoni. Icefish are primarily Champsocephalus gunnari in the Subantarctic and Chaenodraco wilsoni in the Antarctic. Antarctic krill are Euphausia superba. Mesopelagics consist of myctophids (primarily Electrona carlsbergi) and silverfish (Pleuragramma antarctica). Data from the CCAMLR Statistical Bulletin 2019.

The spatial distributions and time series of catches of target species within each MEASO area were assessed using catch records from the CCAMLR Statistical Bulletin (hereafter referred to as the Bulletin, CCAMLR, 2019) (see outcomes in Figures 9, 10). Rules for distributing catch from CCAMLR’s large-scale reporting areas (Subareas and Divisions) into MEASO areas were developed based on the reports of the Scientific Committee and fishery reports published on the CCAMLR website3 as well as Kock (1992). Each record in the Bulletin has the reporting area, flag state, year, target species and, in most cases, fishing method. Geographic locations and depth ranges were available in the descriptions of different methods and locations where target species were caught. For CCAMLR reporting areas that overlapped with MEASO areas, catches were partitioned by the proportions of seabed area in the different MEASO areas relative to these locations.

FIGURE 9
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Figure 9. Accumulated catch for groundfish, icefish, toothfish and Antarctic krill from 1970 to 2018 plotted against ocean depth (legend at bottom left of Antarctic krill panel) as catch density (tonnes per square kilometre) on a log10 scale (bottom left legend). Species are those listed in Figure 8. Source data: CCAMLR Statistical Bulletin 2019. Grey lines show a graticule, and black lines show the boundaries of the 15 MEASO areas in Figure 2.

FIGURE 10
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Figure 10. Time Series of catches for target species in each sector (legend in centre top row) for each zone (rows) of MEASO areas (as shown in Figure 2). Groundfish and toothfish can be separated at 1991, with groundfish trawling occurring prior to that time and toothfish fisheries (primarily longlining) continuing after that time. Species are those listed in Figure 8.

Fisheries for Patagonian toothfish are well established, with integrated assessments using estimated parameters for their stock dynamics along with estimates of abundance are available for the fishery at South Georgia in the Atlantic Sector and Heard Island in the Central Indian Sector on the Kerguelen Plateau. These fisheries have regular stock assessments and biannual setting of catch limits, based on the use of the CCAMLR decision rule (Constable et al., 2000; Hillary et al., 2006; Candy and Constable, 2008). Also on the Kerguelen Plateau is the largest toothfish fishery around Isles Kerguelen. The Antarctic toothfish fisheries around continental Antarctica are classified as exploratory fisheries with the need to have active research programmes to support the development of the fishery. The most advanced of these is the fishery in the Ross Sea, which began in 1998 and also has an integrated assessment (Mormede et al., 2014). The other Antarctic toothfish fisheries remain in early research phases, despite being present for over a decade. Combined, these fisheries are considered to be sustainable (Croxall and Nicol, 2004; Constable, 2011), although the effects of climate change will need to be considered in their management (Nicol et al., 2007; Larsen et al., 2014; Abrams et al., 2016; Constable et al., 2016c, 2017; Trebilco et al., 2020; Cavanagh et al., 2021).

A threat to the sustainability of the toothfish fisheries was the rise of illegal, unreported and unregulated (IUU) fishing by longliners in the 1990s (Österblom et al., 2015). The catch from IUU fishing was estimated by CCAMLR according to catch rates of the legal fishery, the number of observed IUU longlining vessels and the expected time fishing. Concerted effort amongst CCAMLR Members to combat IUU fishing led to a substantial decline in the IUU fleet and in estimated total illegal catch by 2008 (Figure 7). IUU fishing still occurs at a low level but mainly using gillnets. The loss of fish to gill nets is difficult to measure, because observations of vessels cannot be readily translated to the amount of fishing effort and catch rates are difficult to assess. As a result, estimates of IUU catch have not been made since 2008.

A further threat to the toothfish fishery is the depredation of toothfish from longlines (Söffker et al., 2015; Tixier et al., 2016). This can impact the viability of the fishery but also affect the mortality of fish from the fishery; estimates of depredation are needed in order to correctly estimate how many fish have been removed from the stock.

The fishery for Antarctic krill was undertaken in the Atlantic, Central Indian and East Pacific Sectors in its first decade. Since then, the fishery has concentrated on the west Antarctic Peninsula (South Shetland Islands and, more recently, Bransfield Strait) in the Antarctic Zone of the East Pacific Sector, and the South Orkney Islands in the Antarctic Zone and South Georgia in the Subantarctic Zone of the Atlantic Sector. After a decline in the krill fishery in 1991, the catch around South Georgia has remained relatively constant, while catches have steadily increased around the South Orkneys (Nicol and Foster, 2016). With increasing open water conditions extending the fishing season into winter, the Bransfield Strait has become a very important location for the fishery (Kawaguchi et al., 2009; Nicol and Foster, 2016). While the krill catch limits are considered sustainable for the krill population as a whole (Constable, 2011), there remains great potential for localised effects of krill harvesting on krill predators (Constable, 2002; Constable et al., 2017), even at the current levels of harvest (Watters et al., 2013, 2020) and particularly under scenarios of climate change (Klein et al., 2018). Recent developments to distribute catch inversely to localised risks to predators has advanced the regulatory approach for krill and could be used to help manage for climate change impacts on the ecosystem (Constable et al., 2016b).

Scope for new fisheries in the Southern Ocean remains primarily in relation to mesopelagic fish and Antarctic silverfish, both of which are important prey species in pelagic and coastal waters, respectively (Koubbi et al., 2017; McCarthy et al., 2019; Saunders et al., 2019).

Incidental Mortality From Fisheries

Incidental mortality from fisheries includes the unintentional catch or entanglement of other fish, seabirds and seals. It can also arise from impacts of fishing gears without capture, such as might occur through the impacts of bottom fishing gears on benthos.

CCAMLR has successfully developed measures to reduce seabird mortality in fishing to only an occasional event. Croxall (2008) describes the measures and strategies put in place from the early 1990s to eliminate systemic incidental mortality from CCAMLR fisheries. Soon after the start of longlining for toothfish began in the late 1980s (Figure 11), concern for the capture of seabirds in this fishery led to the development of methods to deter seabirds from attacking baits during deployment and for deterring birds from approaching the gear during hauling. These methods included weighting longlines as well as deploying streamer lines. Strategies included having requirements for scientific observers on fishing vessels to monitor bird interactions with fishing gear and by restricting fishing from seabird foraging areas during the bird breeding season. IUU longline fishing vessels were likely to have had a great impact on seabirds during the height of IUU fishing over the decade from 1997 to 2007 (Figure 11). While seabird mortality in CCAMLR fisheries remains low, incidental mortality of Southern Ocean seabirds in longline fisheries outside of the CCAMLR Area remains a great risk to the conservation of some of these species (Clay et al., 2019).

FIGURE 11
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Figure 11. Incidental mortality of seabirds estimated for trawl and longline fisheries (legal fleet; solid lines) and for illegal, unreported and unregulated fishing fisheries (IUU fleet; dashed lines) for each sector of the Southern Ocean (see Figure 2). Few birds are caught in the Antarctic Zone. Most are caught near to subantarctic islands. Data obtained from reports of the Scientific Committee of CCAMLR from 1994 to the present. Size of circle reflects the uncertainty in the estimates. Small circles reflect greater uncertainty – in IUU estimates these were labelled by SC-CAMLR as medians. Time-series of IUU estimates end in 2008; IUU fishing was low and vessels used gill nets and catches could not be estimated.

The potential for bottom fisheries, notably trawling, to have significant long-lasting effects on benthic habitats and communities came to the attention of CCAMLR in 2006 (SC-CAMLR, 2006) and measures were taken in 2007 to conserve vulnerable marine ecosystems (VMEs). While CCAMLR established a Conservation Measure to prohibit bottom trawling in high seas areas in CCAMLR it also established measures to protect VMEs from demersal longlining with provisions to move on from areas where high biomass (defined as two buckets) of habitat-forming taxa were observed as bycatch in an individual longline shot (CCAMLR, 2007, 2008). Figure 12 shows the overall fishing effort as effort density for bottom trawling (hours) and longlining (hooks) given the available effort data from the CCAMLR Statistical Bulletin CCAMLR (2019).

FIGURE 12
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Figure 12. Bottom fishing effort in MEASO areas for trawl and longline fisheries. Top row (A,B) shows effort density per km2 – hours and hooks, respectively, on a log10 scale. Background is ocean depth (bottom left legend on each map). Black lines show boundaries of MEASO areas as depicted in Figure 2. Middle row (C,D) shows effort over time (split year) in each MEASO area according to the legend at right where labels indicate the sectors (first two letters) and zones (last letter) for each area. Sectors are Atlantic (AO), Central Indian (CI), East Indian (EI), West Pacific (WP), and East Pacific (EA). Zones are Antarctic (A), Subantarctic (S), and Northern (N). Bottom row (E,F) shows the time series of catches in each area – colour and line types according to the middle row legend. Catches are the total catch of targeted species in bottom fisheries (groundfish, icefish, and toothfish). Circle size indicates the proportion of the catch that had effort data associated with it.

Scaling the effort to the level of disturbance of the seafloor, also known as the fishing footprint, is best done using haul data, including the location of each haul and, in the case of trawls, the swept area of the net (width of the opening of the net combined with the distance towed) and, for longlines, the swept area of the line, which is the amount of sideways movement of the line during its deployment, fishing and retrieval. These data are not available in the Bulletin. In the absence of those data, we examine the effort density per km2 and use information from Welsford et al. (2014) on the characteristics of trawl and longline hauls to consider the proportion of seabed that might have been affected. We note that the densities in Figure 12 may be lower than as experienced in local areas because of the method of evenly distributing the effort throughout depth range of a fishery in an area. In addition, localised concentrations may also reduce the effects because of repeated disturbance of the same area.

Effort densities in both trawl and longline fisheries were highest in the Subantarctic Zone in both the Atlantic and Central Indian Sectors. Trawling also had high effort densities in the Antarctic Zone of the East Pacific and Atlantic sectors, from trawling prior to CCAMLR around the Antarctic Peninsula and the islands of the Scotia Sea. Longline effort in the Antarctic Zone has been greatest in the West Pacific Sector associated with the Ross Sea fishery. The only bottom trawl fishery now in operation is at Heard Island. This has been assessed to be localised and not significantly impacting the benthic environment, part of which is due to the presence of the nearby marine protected area (Constable and Welsford, 2011; Welsford et al., 2014; Brooks C.M. et al., 2019).

The greatest accumulated recorded effort for trawling has been a density of 3.1 h per km2. (log10 = 0.491) (noting the absence of records for the very large catches). For longlining, the greatest accumulated density has been 11,000 hooks per km2 (log10 = 4.04). Using the mean estimates of swept areas for trawl gear (20 m) and longlines (6.2 m) from Welsford et al. (2014) and assuming trawling was undertaken at a conservative speed of 2 knots, this equates to the proportion of seabed area affected as 23% and 6.8%, respectively.

A shortcoming of the current analysis is the lack of availability of geolocated haul data. Nevertheless, our analyses indicate that the magnitude of impact is unlikely to be trivial at a local scale, if the fisheries are concentrating in sensitive benthic areas. Welsford et al. (2014) provide methods for using geolocated haul data, along with camera deployments on fishing gear, for assessing the direct impacts of fisheries on benthic habitats.

At present, CCAMLR has a process for registering VME locations and providing interim protection to areas identified as possible VMEs, known as risk areas, during longline operations (CCAMLR VME registry4). At present (accessed October 25, 2020), it has 53 locations registered as VMEs across the west Antarctic Peninsula, South Orkneys, Ross Sea and East Antarctica. For risk areas identified during fishing, seventy seven areas have been identified in the Ross Sea and one in East Antarctica. There is yet to be a follow-up evaluation of the nature and extent of those sensitive areas, which may be larger than the circumscribed locations.

Recovery of Marine Mammals

Exploitation and recovery of marine mammals has been widespread (Rocha et al., 2014). Here we focus on marine mammal recovery in the MEASO areas that have experienced most human impact; broader trends are reviewed by Bestley et al. (2020).

Following protection from exploitation, many marine mammal species are now recovering, with surveys showing growth, for example, in populations of humpback (Branch, 2011; Ward et al., 2011; Noad et al., 2019), southern right (Cooke et al., 2001; Carroll et al., 2013) and Antarctic blue whales (Branch et al., 2004), all of which seasonally feed in Southern Ocean waters. As these whales, and some seal species such as fur and crabeater seals, are krill consumers; at a local scale increases in marine mammal abundance may be anticipated to influence krill swarms (Cox et al., 2009; Ducklow et al., 2013), and also influence oceanic nutrient enrichment and mixing (Lavery et al., 2014; Roman et al., 2014).

Krill swarms of different sizes and densities are differentially predated by different whale species (Cox et al., 2009; Santora et al., 2010, 2014; Friedlaender et al., 2014; Miller et al., 2019) due to their varying sizes, morphology and energetic requirements. Reductions in local krill abundance could reduce food available to more area-restricted central place foragers such as breeding penguins and seals. For example, a spatial study of multiple krill predators, using canyon waters near Livingstone Island, suggested an overlap between humpback whales and penguins which would support this idea (Santora and Reiss, 2011). Any reductions may be compounded by local krill fishing, particularly in the Antarctic Peninsula region where this activity is concentrated (Kawaguchi and Nicol, 2020) and partially coincident with the peak period when whales visit (Weinstein et al., 2017). However, prey competition is not necessarily the obvious outcome of whale presence, as whales are less spatially restricted than the central place foragers, may have differing krill swarm preferences (Friedlaender et al., 2009, 2016) and may even modify krill swarm behaviour (e.g., Cox et al., 2009). For example, it is most energetically efficient for whales to target the densest prey patches (Acevedo-Gutierrez et al., 2002; Goldbogen et al., 2011; Friedlaender et al., 2015), while smaller krill predators may be less restricted in their preference. The impact of whale foraging on krill swarm behaviour is also hard to predict; whale predation may, for example, change krill swarming behaviour in ways that make them more accessible to other predators, for example by dispersing high density krill swarms, or by bringing krill closer to the surface.

A second, widely discussed, possible impact of whale recovery concerns their role within the ecosystem as a biological pump, moving nutrients from deep waters to surface waters as they dive to forage, and enhancing surface water nitrogen and iron (and therefore primary productivity) in “pulses,” through defecation in surface water (Lavery et al., 2014; Ratnarajah et al., 2014; Roman et al., 2014). Consequently, whales may initiate a positive feedback loop, where the productive places that they go to feed are then further enhanced in terms of primary productivity, because of their presence (Roman et al., 2014). This may be particularly pronounced in enclosed areas such as bays, where current flows are limited. There are widespread, strong and important biota-biogeochemistry interactions in Southern Ocean waters, near and offshore, from megabenthos through to microbes (Cavan et al., 2019; Henley et al., 2020).

In the western Antarctic Peninsula, high densities of humpback whales seasonally feed on krill in the Gerlache Strait and bays of the Peninsula (Nowacek et al., 2011; Johnston et al., 2012). There are no empirical abundance trends available for this population (which seasonally winters in the Pacific waters of central and south America). Model-based estimates using historical catch data suggest the population is close to carrying capacity (IWC, 2016), but high levels of female pregnancy detected within this population (63.5% of females, including mothers with calves, Pallin et al., 2018) suggest that it is still growing. Less is known about the abundance trajectories of other regionally important species; Antarctic blue whale numbers are thought to be increasing further offshore in the Peninsula region based on sighting surveys (Branch, 2007), but since they range widely (Branch et al., 2007), population changes may not be particularly concentrated in local waters. Antarctic minke whales can be locally abundant, but were not heavily exploited during the main commercial whaling period, and there is no evidence that their numbers are increasing locally; if anything, recent surveys suggest a 60% decline over the decade spanning the 1990s (IWC, 2013).

More than 170,000 whales were killed in South Georgia waters, indicating the historical importance of whales at a local scale within this ecosystem (Moore et al., 1999). Anecdotally-reported humpback sightings have risen rapidly in the last decade (Jackson et al., 2015, 2020), consistent with recent assessment that this humpback whale population is now close to recovery from whaling (Zerbini et al., 2019). Formal assessments are not available for other species, but southern right whales are regularly seen (Moore et al., 1999) and there has been steady 6–7% per annum population growth in the Argentine southern right whale calving ground seasonally associated with South Georgia (Cooke et al., 2001). There are also increasing reports of blue whales using South Georgia shelf waters, suggesting some regional recovery (Calderan et al., 2020). The impacts of these changes might mean increased competition for krill with other predators, but these may be balanced by positive benefits from the impact of whales on krill swarms, if whale predation makes them more available to smaller krill predators. Furthermore, as the South Georgia krill fishery operates only during winter, human impacts are minimal during the peak period of whale occurrence.

Coastal Change/Ice Loss and Iceberg Scour

Until recently, climate mediated-marine ice loss in the Southern Ocean was mostly restricted to West Antarctica, but this is now also rapidly occurring throughout East Antarctic seas (Turner and Comiso, 2017). One of the ways in which marine ice is being lost is increased iceberg calving (from ice shelf collapses and glacier retreat). Reduced seasonal freezing of the sea surface in space and time means that such icebergs are less likely to be locked into one location, so the potential of iceberg movement is also increasing (see Smale et al., 2008). Increased iceberg numbers and mobility drives a higher probability and frequency of collisions with the seabed and massive disruptions to benthic biodiversity (Gutt, 2001; Barnes and Souster, 2011). Monitoring of scouring in the productive shallows at Rothera (Barnes, 2017) and Carlini research stations (Deregibus et al., 2017) has shown that two thirds of life shallower than 25 m depth may be wiped out in some years at some locations.

Iceberg scouring decreases markedly with depth, but certain hotspots are regularly impacted even at several hundred meters depth. Large icebergs, tracked via earth observation satellites, have distinct geographic hotspots of grounding, including the East Amundsen Sea in West Antarctica, and the narrow shelf of the Davis and Cosmonaut Seas and Cape Norvegia (East Weddell sea) (see Barnes et al., 2018). Thus, although marine ice losses are driven by global processes (warming) and have many similarly large influences (e.g., heat and gas exchange), the effect on biodiversity can be quite localised and predictable. Many local areas of iceberg production are likely to gain considerable biodiversity and ecosystem services, for example bays emerging from ice shelf collapses and fjords from glacier retreat (Cavanagh et al., 2021). In contrast, iceberg collision hotspots, such as in the Weddell Sea could lose biodiversity, but there seem to be more blue carbon winners than losers with marine ice loss so far (Barnes et al., 2018). However, it is harder to assess how well Southern Ocean biodiversity will be resilient to the breadth and complexity of stressors, many of which interact, especially on the seabed where we know least, yet most known species occur (Brasier et al., 2021; Zwerschke et al., 2021).

Other global drivers, such as strengthening of winds due to ozone loss, are likely to interact with sea ice changes, for example, in the generation and maintenance of polynyas, and thus influencing primary production (see Arrigo et al., 2008). Recent evidence suggests that moderate sea temperature increases in Antarctica’s shallows may increase colonisation and growth in new pioneers (Ashton et al., 2017), thus promoting recovery from ice scour. However, new habitat emerging from glaciers and ice shelves, longer periods of food availability (plankton blooms) and fast growth rates (temperature) are balanced with more ice scour, freshwater input and sediment loading from retreating glaciers, with highly localised but substantial negative impacts (Sahade et al., 2015). The impacts of these many interacting climate-forced variables are difficult to predict with perhaps ‘boom and bust cycles’ in many nearshore locations, but at least initially there may be more winners than losers (Morley et al., 2019).

Prognoses and Priorities for the Future

In assessing the projected increase or decrease of the influence of local drivers within MEASO areas (summarised in Table 1), we identified that the influence on Southern Ocean ecosystems of non-indigenous species, fishing, and the recovery of marine mammals are predicted (with medium to high confidence) to increase in the future across all MEASO areas. Fishing and the recovery of marine mammals have the potential to cause ecosystem impacts at the regional or ocean basin scale, as a result of their influences on foodwebs and nutrient cycling. The impacts of these drivers particularly on other marine predators are uncertain given the potential additive effects of fishing, marine mammal recovery and climate change.

TABLE 1
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Table 1. Assessment of the projected increase (+) or decrease (−) of the influence of local drivers within MEASO areas (based on information provided in the previous sections).

The establishment of marine non-indigenous species could have similarly extensive, although unpredictable, ecosystem impacts. While there are currently very few records of non-indigenous species becoming established in the Southern Ocean, increased influence of this driver is predicted (high confidence) in the Antarctic Peninsula region and at sub-Antarctic islands, because of the elevated risks from increasing ship traffic and visitation, regional warming and sea ice losses.

The impacts of local, land-derived pollution are currently low, and this is the only driver identified here which is projected (low confidence) to decrease in some locations where historical infrastructure has been removed or is no longer in use. However, there is potential for some increase in land-derived pollution (medium confidence) with the further development of research station infrastructure and human visits to Antarctica and sub-Antarctic islands, as well as expanded geographic reach following the exposure of more ice-free ground. With the exception of severe incidents such as large oil spills, most point-source pollution influences very small local areas (in comparison to other types of pollution originating from outside the Southern Ocean such as the atmospheric or oceanic transport of POPs), and the most vulnerable habitats are therefore likely to be those in the vicinity of research stations. Areas such as James Ross Island, the coast of East Antarctica and the Ross Sea have seen an increase in station numbers, and while improvements in technology and management have reduced the risk of pollution, the potential for inadvertent fuel spills or other unintended consequences increases with increased national operator activity.

Marine-derived pollution is predicted (medium confidence) to increase across most MEASO areas except for those with the lowest levels of ship traffic associated with fishing, research or tourism. Much of this is attributed to the increasing amounts of plastics discovered in marine ecosystems (although coverage of observers and observations has also increased), however, a large proportion is likely to originate from outside the Southern Ocean, given the relatively low numbers of vessels and potential sources (Waller et al., 2017; Horton and Barnes, 2020). The potential impact of marine-derived pollution will increase with additional shipping, particularly in areas of concentrated tourism or scientific research, and where these activities overlap.

Recent trends relating to tourism in the Southern Ocean indicate a projected increase in numbers and diversity of activities in the future (high confidence), although this has almost certainly been slowed in the short to medium term by the global impacts of the Covid-19 pandemic. Visitors to Antarctica also include scientific researchers and logistics operators, who may similarly visit wildlife colonies and undertake other activities with the potential to cause disturbance. In areas such as the Antarctic Peninsula where ship traffic is most concentrated, ship strikes and disturbance impact on recovering marine mammal populations are anticipated to increase (medium confidence).

Changes to coastal areas as a result of ice loss are also driven by global processes (particularly warming), but have local influences on biodiversity which can be predicted with a high level of confidence, particularly in areas experiencing most rapid warming such as the Antarctic Peninsula and South Georgia. Increased iceberg scour has a direct effect on seafloor communities, while marine and terrestrial areas that are exposed following glacial retreat or ice shelf collapse may provide new habitat for the establishment or spread of non-indigenous species.

The majority of the local drivers identified in Table 1 are projected to increase or remain at similar levels of influence into the future, indicating that management of these drivers, particularly where they relate to local human activities, is critical. The interaction of all local drivers with each other or with global drivers also demonstrates the importance of such management being developed with integrated consideration of globally-driven environmental change. Global human population growth will increase the demand for SO ecosystem services into the future, particularly provisioning services (fishing), but also tourism and the scientific or cultural value of marine biodiversity (Rogers et al., 2020; Cavanagh et al., 2021).

Policy Implications

Local drivers can be controlled or mitigated, to varying degrees, by the implementation of conservation measures, regulations and guidelines under the instruments of the Antarctic Treaty System and other international governance organisations. In contrast, the regulation of global drivers such as increasing temperature, ocean acidification and sea ice change will require global policy action, such as the implementation of the United Nations Framework Convention on Climate Change (UNFCCC) Paris Agreement, and associated efforts to regulate human activities at national levels. Restrictions on human activities within the Southern Ocean (e.g., fisheries management, regulation of tourism, and establishing protected areas) are important in addressing local and regional drivers, and thus minimising cumulative impacts on Southern Ocean ecosystems, but will have little or no effect on the impacts of global drivers, which may be much more significant. Understanding the interactions between local drivers, and with global drivers, is therefore important for the design of effective policy responses. Management actions taken on individual drivers may affect other drivers, with potentially unintended consequences, therefore an ecosystem-based and integrated approach to management is critical (Millennium Ecosystem Assessment, 2005).

As far as possible, management actions should be informed by comprehensive and accessible information on the status and trends of marine biodiversity and human activities, and particularly the current and projected influence of local drivers. Box 1 identifies some of the major research gaps and priorities that would help to enhance the information summarised in Table 1, and improve the foundations for management decision-making.

BOX 1. Research gaps and priorities.

Projections of future changes in the influence and extent of local drivers in the Southern Ocean are heavily dependent on an improved understanding of how global drivers such as climate change will affect Southern Ocean ecosystems. The interaction between global and local drivers, such as the consequences of a changing climate for recovering marine mammal populations or for the potential establishment and spread of non-indigenous species, remains poorly understood. It is important to differentiate between trends that are the result of natural environmental variability and those that are anthropogenic or the result of climate change. Fishing and tourism are both ultimately controlled by global markets, and uncertainty about future economic constraints and demand for these services could also make their trajectories difficult to predict. Geopolitical uncertainty may be a further limitation on projections of future change, since changes to the Antarctic Treaty System could lead to the weakening of environmental and fishery regulations, and a corresponding increase in the negative impacts of human activities.

Key information requirements for identifying and managing risks to the Southern Ocean environment associated with local drivers include:

• Identification of local sources of pollutants (especially POPs and microplastics), and mechanisms of transport and accumulation.

• Assessment and monitoring of impacts associated with tourism and other visits.

• Conditions for establishment and rates of spread of marine non-indigenous species.

• Krill biomass and distribution in both fished and unfished areas.

• Vulnerability of marine species and habitats to the effects of all human activities (including local and global drivers).

• Projected responses of krill-dependent predators to fishing and climate change.

• Status of Southern Ocean cetacean populations and regional projections of recovery and consumption.

• Changes to the distribution of ice-free coastal areas and associated marine impacts. While local drivers are concentrated at sites visited by humans, these are also the sites that are most likely to be monitored, although comprehensive monitoring of any site has yet to be achieved. Information from other more remote sites will help to assess the extent to which these influences impact other areas within the MEASO region (although teleconnections to these remote locations, especially from populated areas to the north of the MEASO region, could cause unexpected influences). The coverage of in situ monitoring can be improved to some extent by remote observations, for example, satellite remote sensing to monitor coastal change and marine mammal abundance changes, time-lapse cameras to observe breeding success in wildlife colonies, and moorings or autonomous vehicles to obtain oceanographic and acoustic data. The establishment of longer time-series may be required in order to detect trends, and increasing data collection may also require increasing capacity for analysis. New mechanisms to integrate data, for example, using Essential Ocean Variables (EOVs), and to coordinate efforts and data sharing between existing programmes, such as through the Southern Ocean Observing System (SOOS), aim to provide ecosystem information that is accessible to decision-makers (Constable et al., 2016a; Benson et al., 2018; Newman et al., 2019). Ecosystem modelling may also facilitate better understanding of ecosystem processes such as predator-prey interactions and population dynamics, or considerations of how global and local drivers might affect species and foodwebs (Hill et al., 2006; Klein et al., 2018). Fishing vessels provide a large amount of information relevant for fisheries management, through the CCAMLR Scheme of International Scientific Observation (SISO), as well as direct involvement in the collection of data such as acoustic surveys and fish tagging. In recent years, the industry bodies ARK (Association of Responsible Krill harvesting companies) and COLTO (Coalition of Legal Toothfish Operators) have been increasingly engaged in discussions within CCAMLR on further developing fishing industry contributions to data collection. Continued efforts to utilise fishing vessels as scientific research platforms will be valuable in providing the data needed to improve fisheries management (Meyer et al., 2020). Efforts to improve the provision of information relating to local drivers would benefit from clear guidance on the specific information required by ATS bodies to inform management decisions.

Improved practical co-operation between different groups involved in Southern Ocean management, primarily CCAMLR and the CEP, but also CCAMLR and the IWC, as well as ACAP, would also have significant benefits in terms of broadening the availability of relevant information, and facilitating the development of comprehensive and more strategic management approaches.

Table 2 identifies regulatory frameworks which have established conservation and management measures relevant to specific local drivers. The instruments of the ATS, including CCAMLR and the Protocol on Environmental Protection, form a comprehensive framework allowing for the regulation of fishing, tourism, and impacts associated with human activities including pollution and the introduction of non-indigenous species. Maintenance of the ATS is key to ensuring the ongoing limitation of negative impacts from local drivers on Southern Ocean ecosystems. However, continuing enhancement of its conservation and management approaches is also important, as current tools and frameworks may not be adequate to address future changes to local drivers, or to effectively consider the effects of multiple drivers in the context of climate change.

TABLE 2
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Table 2. Regulatory frameworks establishing measures relevant to specific local drivers.

The Protocol provides general principles of environmental protection applicable to the Antarctic Treaty areas (the area south of latitude 60°S), notably through designation of the continent as a ‘natural reserve, devoted to peace and science.’ However, the more detailed provisions described in the five Annexes to the Protocol that have so far entered into force, are in most cases now almost 30 years old. Consequently, in most cases there is scope for revision and/or provision of additional guidance detailing potentially higher environmental standards and/or use of new technologies, as now common within many other regions of the planet. For example, impacts in the marine environment from sewage disposal could be reduced through the increased use of sewage treatment plants, including agreed minimum effluent quality standards. Policy development could include improvements in the Environmental Impact Assessment process, more stringent regulation of vessels to reduce the risk of introduction of marine species (particularly on vessel hulls), more comprehensive regulation of tourism activities, and more strategic planning for the implementation of the protected areas system including the adequate protection of vulnerable and/or representative near shore environments, as well as coastal locations accommodating concentrations of Antarctic wildlife. Nevertheless, there is a concern that the pace of change in Antarctic environments and of the level and scope of human activity in the region is not being matched by the pace of development of necessary environmental policy (Hughes et al., 2018).

Effective fisheries management requires an understanding of current and projected impacts from both local and global drivers on target species and associated and dependent species. Consideration of global drivers (climate change, as well as potential socio-economic drivers in terms of demand for ecosystem services, see Cavanagh et al., 2021) must be integrated into management decision-making. As a conservation-focussed body and an integral part of the ATS, CCAMLR differs from Regional Fisheries Management Organisations (RFMOs) in that it is able to address broader objectives of ecosystem conservation. CCAMLR’s principles of conservation (Article II of the Convention) include preventing the decrease of harvested populations below levels that ensure their sustainable recruitment; maintenance of the ecological relationships between harvested, dependent and related populations of Antarctic marine living resources; and prevention of changes in the marine ecosystem which are not potentially reversible over two or three decades. Such precautionary approaches should include the spatial distribution of krill catch limits to prevent local impacts on predator populations, as part of the risk assessment and revised krill management strategy currently being developed by CCAMLR (Watters et al., 2013; Hill et al., 2016). Cooperation on data sharing, particularly between CCAMLR and the IWC on ecosystem modelling and consideration of cetacean population changes and krill consumption levels, would be a valuable contribution to this work.

In addition to fishery-specific measures, CCAMLR also has a mandate to implement marine protected areas (MPAs) with objectives including the conservation of biodiversity, establishment of scientific reference areas, protection of areas vulnerable to the impacts of human activities, and of areas to maintain resilience to climate change (CCAMLR Conservation Measure 91-04). While progress toward CCAMLR’s agreed objective to establish a representative system of MPAs has been limited to date, the adoption of a suite of additional areas currently under negotiation would substantially improve the representation of Southern Ocean biodiversity in protected areas (Brooks et al., 2020). Antarctic Specially Protected Areas (ASPAs) can also be implemented in marine areas under the Protocol on Environmental Protection, and could be nested within MPAs or established in complementary areas as part of a more strategic approach to the conservation of marine ecosystems across both CCAMLR and the CEP. Localised conservation and management actions such as MPAs, ASPAs or VME designations could also act as a driver of recovery for marine ecosystems, by reducing or removing other drivers that have previously resulted in negative impacts, for example, the recovery of locally impacted benthic habitats following closure to fishing (considered in Brasier et al., 2021).

The interaction between CCAMLR and the CEP also has an important role to play in identifying and progressing issues of common interest with regard to local drivers. For activities which affect the marine environment, cross-over responsibilities are established within the respective conventions, for example to ensure that all CCAMLR Members acknowledge the special obligations and responsibilities of the Antarctic Treaty Consultative Parties for the protection and preservation of the environment of the Antarctic Treaty area (CCAMLR Convention, Article V), and to provide for CCAMLR approval of marine Antarctic Specially Protected Areas (Environmental Protocol, Annex V). Joint workshops have also agreed customary practices establishing which body will ‘lead’ on topics such as non-native marine species (CEP) and marine spatial protection (CCAMLR) (ATCM, 2009), while cooperation on climate change and monitoring was the focus of the most recent joint CEP and CCAMLR Scientific Committee discussions (CCAMLR, 2016). Although not yet implemented to their full potential, the range of tools available across CCAMLR and the Environmental Protocol, particularly on spatial protection, should allow for comprehensive systems of marine protection and management to be established in the Southern Ocean, tailored to the specific requirements of different regions and human activities.

Additional global frameworks such as the International Maritime Organisation (IMO) provide additional measures that apply to all vessels in the Southern Ocean, particularly through the International Code for Ships Operating in Polar Waters. Adjacent RFMOs5 can also implement measures that may reduce impacts on Southern Ocean species (for example bycatch mitigation measures to protect highly migratory seabirds, and controls on discarding fishing gear). However, cooperation between CCAMLR and neighbouring RFMOs would benefit from improved communication, and data-sharing to address changes in stock structure, by-catch and environmental and climate change impacts (CCAMLR Performance Review, CCAMLR, 2017).

Integrated management across the ATS and related instruments is needed to address the specific impacts of local drivers in the context of broader environmental conditions, particularly in relation to climate-related change. Such management will be most effective where it is informed by robust scientific information and projections of change, and new innovations (particularly in modelling and remote observations) will help to provide this. However, there is also a need for precautionary measures to ensure that risks are minimised, especially where data are limited or when confidence in projections of the nature and extent of the impacts of drivers on biota is low. Although heavily impacted by historic exploitation of marine species, the Southern Ocean remains less affected by current local drivers of change such as pollution and fishing than much of the rest of the global ocean. The unique governance frameworks of the Antarctic Treaty System provide the means to ensure that this status is maintained into the future.

Author Contributions

SG and CLW outlined the manuscript and coordinated text contributions. SG, AC, DB, MB, MD, KH, JJ, and CMW contributed text on individual sections. SG and CLW designed Figures 1, 3 which were produced with assistance from HG, Stacey McCormack and the MEASO Support Group. AC produced Figures 2, 412. SG and SM developed Tables 1, 2 with input from all authors. All authors contributed to development and revision of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

This work is a core contribution to the first Marine Ecosystem Assessment for the Southern Ocean (MEASO), part of the Integrated Marine Biosphere Research (IMBeR) project’s Integrating Climate and Ecosystem Dynamics in the Southern Ocean (ICED) program. This paper contributes to the British Antarctic Survey (BAS) Polar Science for Planet Earth “Ecosystems” and “Biodiversity, Evolution & Adaptation” programs, the BAS Environment Office Long Term Monitoring and Survey project (EO-LTMS), and the SCAR Integrated Science to Inform Antarctic and Southern Ocean Conservation (Ant-ICON) program. We thank the MEASO Support Group and Steering Committee for assisting with figures, coordination, and editing of the text. We thank Stacey McCormack from Visual Knowledge for developing the infographic for Figure 1. We also thank the stakeholders who provided feedback for this manuscript during the MEASO consultation process, including: ACAP, ARK, the Pew Charitable Trusts, SOOS, and WWF. We are grateful to the two reviewers for their constructive comments and suggestions to improve the manuscript.

Footnotes

  1. ^ https://www.ats.aq/e/protocol.html
  2. ^ http://www.antarcticstation.org/station/renewable_energies
  3. ^ www.ccamlr.org
  4. ^ https://www.ccamlr.org/en/document/data/ccamlr-vme-registry
  5. ^ RFMOs adjacent to the CCAMLR Area are: South-East Atlantic Fisheries Organisation (SEAFO), South Indian Ocean Fisheries Agreement (SIOFA), South Pacific Regional Fisheries Management Organisation (SPRFMO), Commission for the Conservation of Southern Bluefin Tuna (CCSBT).

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Keywords: Southern Ocean, climate change, fishing, pollution, non-indigenous species, tourism, Antarctic Treaty System, CCAMLR

Citation: Grant SM, Waller CL, Morley SA, Barnes DKA, Brasier MJ, Double MC, Griffiths HJ, Hughes KA, Jackson JA, Waluda CM and Constable AJ (2021) Local Drivers of Change in Southern Ocean Ecosystems: Human Activities and Policy Implications. Front. Ecol. Evol. 9:624518. doi: 10.3389/fevo.2021.624518

Received: 31 October 2020; Accepted: 14 May 2021;
Published: 24 June 2021.

Edited by:

Jess Melbourne-Thomas, Oceans and Atmosphere (CSIRO), Australia

Reviewed by:

Miguel Alfonso Ortega-Huerta, National Autonomous University of Mexico, Mexico
Ceridwen I. Fraser, Australian National University, Australia

Copyright © 2021 Grant, Waller, Morley, Barnes, Brasier, Double, Griffiths, Hughes, Jackson, Waluda and Constable. 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: Susie M. Grant, c3VhbkBiYXMuYWMudWs=

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