Combined Abundance of All Vulnerable Marine Ecosystem Indicator Taxa Inadequate as Sole Determiner of Vulnerability, Antarctic Peninsula

Introduction

Identification of Vulnerable Marine Ecosystems (VMEs) is a critical component of the management framework for bottom fishing activities. This was brought about largely by the requirements of United Nations General Assembly (UNGA) Sustainable Fisheries Resolution (61/105), aimed at avoiding significant adverse impacts of bottom fishing activities on VMEs in high seas areas (UNGA, 2007).

The relevance of VMEs in the Southern Ocean has never been greater as the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR)—the international body tasked with managing commercial fishing operations around Antarctica—pursues their 2004 commitment to establish a network of Marine Protected Areas (MPAs) throughout the Southern Ocean (Conservation Measure 91–04; CCAMLR, 2019b). The urgency for protection of this region is underscored by the increased rate of warming that the Peninsula has experienced (Turner et al., 2005, 2016; Jones et al., 2019; Siegert et al., 2019), at a time when industrialized krill fishing along the Antarctic Peninsula is expanding and pressures continue to mount for expansion of commercial benthic long-line fisheries. The combination of accelerating anthropogenic climate change and commercial fishing pressures could lead to a catastrophic collapse of the system if adequate protections are not put in place in time.

The UN Food and Agricultural Organization (FAO) defines marine ecosystems as vulnerable if they have dense three-dimensional structures, they experience low levels of natural disturbance and mortality, if their distribution is patchy, or if their component species are fragile (Rogers et al., 2008). Fundamental to vulnerability is resilience and thus, recovery from damage is considered to be extremely slow, or will not occur, if species are rare, unique or exhibit high levels of endemism, or, possess life-history or biological characteristics that include slow growth rates, high longevity, large age of maturity or low recruitment (Rogers et al., 2008).

Following suit, CCAMLR adopted a number of Conservation Measures (CMs), establishing notification procedures and guidelines for the identification and registry of VMEs (Jones et al., 2016; CCAMLR, 2019a,b). Based on the FAO guidelines, a list of taxa that serve as indicators of the presence of a VME is utilized for research purposes and for monitoring commercial benthic by-catch and management of fisheries. Within the CCAMLR Convention Area, fishing vessels (long-liners and pot fisheries) and research vessels are required to monitor and report encounters with VME indicator taxa under Conservation Measures 22–07 and 22–06, respectively (CCAMLR, 2019b). Figure 1 illustrates the two different reporting procedures.

FIGURE 1

Figure 1. CCAMLR VME reporting and registering process.

Acceptable supporting evidence has varied in accordance with the diverse methodologies employed by research vessels in the region. Successful methods have included a biomass trigger for invertebrate by-catch during fish surveys (Lockhart and Jones, 2009, 2010; Jones and Lockhart, 2011; Lockhart et al., 2012) and other research activities (Gaitán et al., 2013), population genetics (Chiantore and Vacchi, 2012), as well as in situ photographic observation (Jones and Lockhart, 2011; Lockhart et al., 2012). Fishery-independent Antarctic research surveys and expeditions provide powerful platforms with considerable potential to detect and report encounters of VMEs in the CAMLR Convention Area. As the Commission’s VME registry grows, the ability to manage and minimize risk to VMEs in both present and potential future fisheries in the Convention Area is greatly improved, and in turn significantly strengthens the science behind the larger MPA proposals being considered by the Commission. The most relevant of these MPA proposals to the current research is that proposed by the Delegations of Argentina and Chile (2020) in CCAMLR’s Planning Domain 1 (D1MPA) which encompasses the Western Antarctic Peninsula (WAP). VME coordinates were just one important layer modeled in the development of D1MPA in order to identify areas of priority for protection (Delegations of Argentina and Chile, 2017). Indeed, a recent study unveiled a benthic taxa richness along the WAP that is comparable to values obtained using the same camera system and methodology in the Tropical Eastern Pacific (Friedlander et al., 2020). Facing rapid and dramatic changes due to the impact of climate change, the fragile benthic ecosystems in this region of Antarctica are under considerable threat (Rogers et al., 2019; Siegert et al., 2019).

Fisheries-independent research, especially the availability of direct imagery, possesses great potential to aid in the development of new management and monitoring protocols. CCAMLR has recognized the limitations of the thresholds currently in use for the region for more than a decade (e.g., CCAMLR, 2009, 2019c), and they are not the only fisheries management organization of a large high seas region struggling to set appropriate thresholds (Geange et al., 2020) and develop non-subjective methodologies to reliably and consistently identify VMEs (Morato et al., 2018). Results from independent research such as are presented here can be used to inform new and more appropriate thresholds in Southern Ocean fisheries management and other high seas regions.

To this end, an expedition in January of 2018 sought to identify VMEs within the D1MPA region, and to follow CCAMLR’s current VME proposal procedures, in order to add to the science of benthic layers modeled in support of one of the most critical of the MPA proposals that have yet to be adopted. Our objective was successful; the four sites identified by the methodology herein, received protection the same year (CCAMLR, 2018).

Materials and Methods

Sampling Gear and Location

Research submarine video survey and sampling was conducted off the Dutch vessel M/Y Arctic Sunrise in January 2018, along the WAP (within CCAMLR statistical Subarea 48.1) by a Dual DeepWorker 2000 submarine (Nuytco Research Ltd.). The Dual DeepWorker 2000 is a two-person, one atmosphere submersible that can operate in depths up to 600 m. Each person has a 24-inch diameter, acrylic viewing dome, which gives an expansive field of view and is used to enter/exit the submersible¹. It is equipped with an HD (H.264, Blu-Ray Codec) camera with a 2-point laser measurement system set at 20 cm. Benthic invertebrate samples for taxonomic determinations were collected using a HydroNewt Manipulator arm controlled by the pilot via a joystick and are deposited with the California Academy of Sciences (San Francisco).

As stated above, the purpose of the expedition was to explore the seabed and record evidence of any VMEs encountered. Dive sites, therefore, were chosen based on interest and experience (and heavily influenced by sea and ice conditions) and not by following a random survey pattern. An estimate of the number and/or extent of VMEs in the region as a whole was not the objective, and without a random survey pattern it cannot be inferred from the findings herein. However, dives were conducted blind, i.e., the course of the submarine was directed verbally via radio communications with the Nuytco submarine technicians topside according to their own set of safety priorities (e.g., presence of icebergs) and bathymetry, and in the absence of in situ consultation with either the pilot or PAX (i.e., passenger). Control of the Dual Deepworker 2000 is much easier up-slope than down, therefore the submarine was directed along a slowly ascending bathymetry. For example, we were generally directed diagonally up and along walls and slopes.

All attempts were made by both pilot and PAX to maintain a consistent speed, distance off-bottom and camera angle. However, this is easier said than done, especially in different currents, visibility conditions and along greatly varying bathymetry and substrate type (e.g., presence of silty sediments requiring a more conservative distance off-bottom). These issues are common problems inherent in submersible research (Fillinger and Funke, 2013; Marcon and Purser, 2017) and innovative strategies and software are in constant development in an attempt to address them.

Eight successful dives were accomplished (Figure 2), the details of which are provided in Table 1. This highly selective mode of sampling is non-invasive and results in minimal direct damage to the benthic community, preserving the integrity of any VMEs potentially encountered.

FIGURE 2

Figure 2. Map of successful dive sites during the January, 2018, M/Y Arctic Sunrise expedition. Generated with QGIS (http://qgis.osgeo.org) software (QGIS Development Team, 2019) using the Quantarctica package provided by the Norwegian Polar Institute.

TABLE 1

Table 1. Details of the eight successful submarine dives along the western Antarctic Peninsula and Antarctic Sound.

Image Analysis

Each raw video file was edited in Final Cut Pro X to remove unusable sequences. Besides descent and ascent, this included any time the submarine was positioned too far off the seabed, camera angle was too extreme for reliable identification, silt obscured the view, or footage was out of focus. In addition, and to reduce bias, sequences where transect travel was paused to report vitals topside, to collect a sample or to photograph taxa or communities of interest, were deleted. Thus, Analysis Video Length is much shorter than Bottom Time (Table 1).

To compare the relative percent abundance of VME indicator taxa to that of non-VME taxa and bare substrate at each site, screenshots were extracted at regular intervals for analysis beginning at 0:00 (m:ss). The interval used for each video (60, 90, or 120 s) depended on the length of the video in order to produce similar sample sizes across sites. The first frame at each of these second time slots was selected unless the quality was poor. In these cases, the clearest frame within the second (s) time slot was chosen.

Each dive’s series of screenshots for analysis was then imported into the program, PAPARA(ZZ)I (Marcon and Purser, 2017). Within this program, images were first enhanced by adjusting brightness, contrast and gamma. As recommended by the authors, the usable area was then defined for each individual area. This feature not only allowed the exclusion of dark or blurred edges, but also reduced bias caused by varying camera angles, i.e., where camera angle was oblique over a flat bathymetry, a horizontal rectangle within the lower half of the frame was defined for analysis, and in the case of an oblique angle to a wall, a vertical rectangle on the wall side was defined (Figure 3). Once images were prepared in this way, an array of 100 random points was overlaid. A random (rather than grid) array further decreased the bias resulting from varying camera angles. Each point in each image was assigned one of three designations: VME indicator taxa, non-VME taxa or bare substrate. Each data point can be assigned multiple input tiers. As such, non-VME taxa were further scored as seaweed, fish or other. Likewise, VME indicator taxa were further scored according to CCAMLR’s list of VME indicator taxa with slight modifications to reflect more up-to-date taxonomic nomenclature (Table 2) as accepted in the World Register of Marine Species known as WoRMS² (WoRMS Editorial Board, 2021). The classification rank of the OTUs varied, with some as broad as Phylum (e.g., Bryozoa) and others as specific as Genus (e.g., Acanthogorgia Gray, 1857) depending on the reliability of accurate identification. The abundances of certain VME OTUs of interest were then available for further analysis.

FIGURE 3

Figure 3. Example of the approach taken to correct for differing camera angles during image analysis using features available in PAPARA(ZZ)I. (A) Wall off Lecointe Is (Dive 7). (B) Flat terrain off Trinity Is (Dive 5).

TABLE 2

Table 2. Presence of the various VME indicator taxa at four of the dive sites (see Table 1 for details of each site).

Data Analyses

The thresholds of VME indicator taxa that commercial fisheries are bound to report, and which signal whether the vessel must cease fishing and move from the area, are based on weight of all VME indicator taxa that reach the surface as by-catch combined. Therefore, to determine if any site or sites supported a greater relative percent abundance of all VME indicator taxa compared to others, boxplots were generated.

Determining whether any sites in a particular study support greater relative percent abundance of all VME indicator taxa combined has been established by previous studies (e.g., Lockhart and Jones, 2009; Lockhart et al., 2012) as acceptable methodology by CCAMLR. However, in order to adequately achieve CCAMLR’s conservation objectives and preserve the biodiversity of the Southern Ocean, a variety of ecosystems must be protected. This holds especially true for the benthic communities of this region that are characteristically mosaic in their distributions (Gutt et al., 2013). As such, disparate communities cannot be assessed by a single blanket methodology, as explicitly expressed in CCAMLR’s Report of the Workshop on Vulnerable Marine Ecosystems (CCAMLR, 2009). While a benthic community may not show an exceptionally high abundance of VME indicator taxa as a whole, it may still support an unusual abundance of a vulnerable taxon that simply does not occur among high-density communities.

Acanthogorgia, Gray, 1857 is an octocoral genus of the Order Alcyonacea (soft corals and gorgonians) with a distinctive gross morphology and whose colonies are large enough so as to provide a robust dataset based on confident identifications. Acanthogorgia, therefore, was chosen as a starting point to further explore the data. A voucher specimen was collected and deposited at the California Academy of Sciences (CASIZ 228493). In order to better understand correlations between various taxa, Pearson’s product-moment analyses were conducted.

Results

Vulnerability Due to High Densities of VME-Indicator Taxa

Relative percent abundance of VME indicator taxa and bare substrate varied greatly across the dive sites (Figure 4). The substrate at Dive sites 4, 6, 8, and 9 (Livingston Is., Brabant Is., Hunt Is. and Charlotte Bay, respectively), was predominantly silty with scattered small rocks to large boulders on which clusters of VME indicator taxa could be found. Bare substrate and non-VME taxa dominated the relative percent abundance at these sites (Figure 4). In stark contrast, bare substrate at Dive sites 1, 3, and 5 (Hope Bay, Kinnes Cove and Trinity Is, respectively), was not common (Figures 5–7), except where an ice scour zone was crossed during Dive 1 (Figure 5B). The communities at these sites clearly exhibit the high density of VME indicator taxa, as well as the complex three-dimensional structure expected of a typical VME. The deepest site, Dive 7 off Lecointe Is., supported a complex three-dimensional structure with a high diversity of coral indicator taxa (Figure 8) but also a high relative percent abundance of bare substrate (Figure 4).

FIGURE 4

Figure 4. Average relative abundances of VME indicator taxa (VME-IT) and bare substrate as measured in PAPARA(ZZ)I. Bars are standard deviation.

FIGURE 5

Figure 5. VME at Hope Bay, Antarctic Sound, ∼100 m (Dive 1). (A) Dense assemblage of VME indicator taxa. (B) The transect at Hope Bay (Dive 1) crossed into a very distinct ice-scour zone.

FIGURE 6

Figure 6. VME at Kinnes Cove, Antarctic Sound (Dive 3). (A) A large hexactinellid Rossella cf. podagrosa cluster in the background and a large yellow Mycale demosponge in the foreground provide habitat for a multitude of organisms, ∼260 m. (B) The significantly high abundance of VME indicator taxa is illustrated well here; as the view is directed horizontally along the wall, it is possible to see that the structural complexity is great and that it extends beyond the range of visibility, ∼300 m.

FIGURE 7

Figure 7. VME off Trinity Island, western Antarctic Peninsula, ∼200 m (Dive 5). (A) An Antarctic rockcod enjoys ample protection among the complex assemblage at this site. A stylasterid (CITES protected) is seen in the upper left corner. (B) Although the lasers point into the background of this image, they crossed the hexactinellid on the right which measured > 25 cm in width.

FIGURE 8

Figure 8. Percentage abundance of all VME indicator Cnidaria taxa excluding miscellaneous hydroids and primnoids (red), which were excluded based on the fact that they are positively correlated with Porifera (blue). Dive site 7 off Lecointe Island in the Gerlache Strait supports significantly more coral taxa than all other sites.

Boxplots of all VME data (Figure 9) indicate that Dive sites 3 and 1, in the Antarctic Sound, and Dive site 5 off Trinity Island, off the WAP (Figure 2) support greater abundances of VME indicator taxa than the remaining five sites. These sites, therefore, are indicated to be VMEs and are registered as such with CCAMLR.

FIGURE 9

Figure 9. Boxplot of all VME indicator taxa relative abundance data across dive sites.

Vulnerability Due to Alternate Community Characteristics

Clearly the abundance of Acanthogorgia is much higher off Lecointe Island (Dive 7) than at all other sites (Figure 10A). A Pearson’s product-moment correlation analysis revealed a significant positive correlation of Acanthogorgia abundance with depth (Table 3). The abundances of Acanthogorgia were then tested for a correlation with the combined abundances of dense taxa typically found at high density VME sites, i.e., Porifera, Ascidiacea, Bryozoa, and Hydroids-Miscellaneous (This last OTU does not include stylasterids or stalked hydroids which are distinct OTUs). As the focus for this analysis is among VME sites, any sites that were not identified as especially abundant in VME indicator taxa when all taxa are taken into account (see Figure 9) were excluded from these correlation analyses. A significant negative correlation in the abundance of Acanthogorgia with the taxa typically found in high densities in VMEs across the deep site (Dive 7) and the significantly high abundance sites identified above (Dive 1, Dive 3, and Dive 5) was revealed (Table 3).

FIGURE 10

Figure 10. Boxplot of relative abundance data for: (A) The coral, Acanthogorgia and (B) Cnidaria VME taxa, excluding hydroids and primnoids as these cnidarian taxa are found to be positively correlated with sponges (see Table 3).

TABLE 3

Table 3. Pearson’s product-moment correlation outputs.

As the majority of VME thresholds currently set by CCAMLR or in use by its Members to identify VMEs via research are density- or abundance-based, many important taxa and communities may be losing out on essential protections when they do not co-occur with dense or highly abundant taxa such as sponges. Analyses thus far support this concerning scenario for Acanthogorgia. To explore whether such a pattern held true for Antarctic corals in general, first Pearson’s product-moment correlations were run between sponges and some coral OTUs (Table 3). Miscellaneous hydroids and primnoids were positively correlated with sponges (weakly and strongly, respectively). As these two taxa are likely to occur with high densities of sponges, they are likely to be protected by a single all-encompassing threshold and were, therefore, excluded from the following analysis. Boxplots comparing VME indicator Cnidaria taxa—excluding miscellaneous hydroids and primnoids—across all sites, shows Dive 7, off Lecointe Island, as noticeably different from all other sites (Figure 10B). In fact, the sites that scored lowest for this broader coral group were the 3 VME sites (1, 3, and 5) identified using the conventional all-taxa threshold, along with the most barren dive site (4).

Figure 11 illustrates the compositional heterogeneity of the deeper Dive 7 site compared to the shallower VME sites where indicator taxa occur at significantly higher abundances. Perhaps even more clearly illustrated by these figures is the striking compositional homogeneity of the sites that trigger VME status by high density and abundance (Dive 1, 3, and 5).

FIGURE 11

Figure 11. Composition of VME indicator taxa at the 3 sites that trigger VME status via significantly higher abundances (Dives 1, 3, and 5) compared to the deepest site with a diverse assemblage of corals (Dive 7). VME indicator taxa that are more likely to occur at high densities and abundances that trigger typical management thresholds (sponges, hydroids, bryozoans and ascidians) are illustrated in stippled dark, bold colors while the highly diverse corals and other VME indicator taxa that typically do not are represented by paler colors.

However, corals were not the only noteworthy VME indicator taxon present at this site (Figure 12). The basket star, Gorgonocephalus chilensis (Philippi, 1858), was frequently encountered and not observed at the other locations. The fragility and vulnerability of large balanomorph barnacles is not difficult to perceive (Figure 12E). Sponges, although not remarkably abundant at this deeper site, are an important VME indicator taxon due to the structural complexity and habitat for other organisms that they provide. The hexactinellid, Anoxycalyx joubini (Topsent, 1916), a species that can grow to a considerable size and age (Dayton, 1979, but see also Dayton et al., 2013; Fillinger et al., 2013) is recorded here.

FIGURE 12

Figure 12. VME off Lecointe Island, Gerlache Strait (Dive 7). (A) Diverse coral assemblage on a boulder ∼400 m. Three species of primnoid corals; Thouarella cf. grandiflora (orange), T. cf. variablis (white bottle brush) and Dasystenella cf. acanthine (pink). White isidid (bamboo) corals, Primnoisis sp., to the right of the image. Also seen is a small white Gersemia soft coral, upper center. (B) Bamboo coral, like this Primnoisis sp. (white) are notably abundant off Lecointe Island. Zoanthids were only observed at this site; this species, Parazoanthus sp., parasitizes other corals. Lasers 20 cm apart. (C) Yellow Acanthogorgia sp. and Acanthomastus spp. soft coral. (D) Stony scleractinian corals and in the foreground is a brown hexactinellid sponge. (E) A large sessile barnacle, probably Bathylasma sp., measures > 10 cm high.

Discussion

The simplest VME-type community to understand, and therefore one of the most persuasive, is one that is visually and statistically dense with VME-indicator taxa. Here, data are presented that clearly distinguish three dive sites in terms of significantly high abundances of VME indicator taxa. Following protocol, this data was presented as rationale to the CCAMLR Working Group on Ecosystem Monitoring and Management (WG-EMM), Scientific Committee and finally Commission in 2018. The Commission agreed that there was compelling evidence that the ecosystems encountered by submarine at Kinnes Cove (Dive 3) and Hope Bay (Dive 1) in the Antarctic Sound, and off Trinity Island (Dive 5) along the western Antarctic Peninsula, are indeed vulnerable and in need of protection (CCAMLR, 2018). These three sites are now included on the CCAMLR VME registry (CCAMLR, 2019a) and are protected from commercial bottom fishing activities within a 1 nautical mile radius. As the VME registry grows, so does its usefulness to inform the science behind the network of Marine Protected Areas (MPAs) planned for the region (CM 91-04; CCAMLR, 2019b).

The protection of VMEs and the establishment of a series of MPAs in the Southern Ocean couldn’t come at a more critical time. Anthropogenic climate change is causing the retreat of ice shelves and glaciers (Siegert et al., 2019), which in turn provides greater access for fishing and tourism (Barnes and Tarling, 2017; Rogers et al., 2019), both of which are concentrated in the Peninsula region which, until recently (Turner et al., 2016; Jones et al., 2019) experienced the greatest rise in temperatures in the Southern Hemisphere (Turner et al., 2005; Siegert et al., 2019). Thus, the preservation of vulnerable communities as refugia becomes more urgent if its biodiversity is to survive the accelerated rate of glacial carving. Here, the devastation to benthic communities by ice scouring is dramatically illustrated by the imagery from Hope Bay (Figure 5B). The average abundance of VME indicator taxa at Hope Bay is only lower than that at Kinnes Cove because the transect crossed into an ice-scour zone. The demarcation of dense and diverse benthos to bare rubble was stark and extensive, continuing for several hundred meters until ascent was necessary.

Bottom fishing gear, including long-lines, can be even more destructive (Barnes and Tarling, 2017) and in the cold waters of the Southern Ocean where growth is slow, recovery from such a disturbance is predicted to be extremely slow (Gutt, 2001; Rogers et al., 2008). Alarmingly, new research utilizing the Global ARMS (Autonomous Reef Monitoring Structures) protocol in Terra Nova Bay illustrates how recovery in the Southern Ocean is expected to be much slower than in other parts of the World’s Ocean (Schiaparelli pers. comm.). Globally standardized stacks of plates are placed on the seabed and are monitored for recruitment over 6 months (Leray and Knowlton, 2015) or preferably 1–3 years (Al-Rshaidat et al., 2016; Danovaro et al., 2016; Pearman et al., 2016; Ransome et al., 2017) and analyzed using comparative imaging, quantifiable biodiversity metrics and DNA sequencing³. After 3 years the ARMS plates at Terra Nova Bay remain substantially barren. Although it appears that growth, in at least glass sponges, is far from linear and instead occurs in spurts of recruitment and high growth (Dayton et al., 2013; Fillinger et al., 2013) interrupted by decade(s)-long periods of arrested growth cycles (Dayton, 1979; Gutt and Starmans, 2002), it is clear that recruitment and growth in Antarctic benthos is fickle. Such capricious recruitment and growth in the face of climate-induced increases in larger, and more destructive, iceberg scouring events (whereby larger icebergs reach greater depths where the seabed is more likely to host climax communities; Barnes, 2017; Barnes et al., 2018), combined with increasing fishing pressure and access, seriously restricts a VME’s resilience and recovery capabilities (Rogers et al., 2019). To this point, the preservation of the dense benthic assemblage at Hope Bay is crucial as a biodiversity refuge as temperatures are expected to rise again in this region which will experience an increase in glacial carving and subsequent iceberg scouring.

Whether by ice scouring or by fishing, disturbance of benthos greatly reduces the carbon storage potential of the Southern Ocean, which may otherwise serve as a critical negative feedback mechanism on climate change (Barnes, 2017; Barnes et al., 2018). Whilst pelagic consumers are predominantly responsible for the conversion of carbon capture to storage, a key role in genuine sequestration of biologically stored carbon (or blue carbon) is played by organisms on the seafloor (Barnes and Tarling, 2017; Barnes et al., 2018; Rogers et al., 2019). Disturbance of the benthos smashes and grinds carbonate bioconstruction, thus recycling carbon within the system rather than true sequestration of carbon out of the system via burial (Barnes, 2017; Barnes et al., 2018).

The estimated blue carbon storage potential of the Southern Ocean has been estimated at as much as 160 × 10⁶ tons per year (Barnes et al., 2018; Gogarty et al., 2020). However, its true global significance, over for example fast growing temperate kelp forests, lies in its genuine sequestration potential because the carbon is stored in skeletal form and thus, is more robust to increasing ocean acidification and more likely to be buried upon death (Barnes et al., 2018). While glass and demosponges disproportionately contribute to the biomass of Southern Ocean benthos (Lockhart and Jones, 2008; Jones and Lockhart, 2011; Gutt et al., 2013), it is in the abundance and great diversity of carbonate-skeletal corals where the greatest blue carbon potential may truly lie (Barnes, 2017; Barnes et al., 2018).

Moreover, cold-water corals are recognized as an important component of deep-water ecosystems world-wide for their role as ecosystem engineers providing habitat for many other organisms (Rogers et al., 2007, 2008; Miller et al., 2012), and recognition of their vulnerability has put them on the international conservation agenda (Roberts and Cairns, 2014). Corals are diverse (Rogers et al., 2008; Ambroso et al., 2017), extremely slow growing (Roark et al., 2005; Rogers et al., 2007, 2008; Peck and Brockington, 2013; Martinez-Dios et al., 2016) and vulnerable to fishing gear (Rogers et al., 2008; Maynou and Cartes, 2012), and communities can be tens of 1,000s of years old. Recovery times of populations, therefore, are estimated to be in the 100s or 1,000s of years (Rogers et al., 2008) and that is especially true for the many brooding species (Ambroso et al., 2017) found in the Southern Ocean. Undisturbed, cold-water coral communities can be as diverse as tropical coral reefs (Barnes and Tarling, 2017) and, in the Southern Ocean in particular, such communities can be very dense (e.g., 47 colonies/m² in the Weddell Sea; Ambroso et al., 2017).

Coral taxa considered critical include bamboo coral (Isididae). Assemblages of this taxon have been associated with large populations of commercial fish and are especially vulnerable to fishing due to their longevity (< 100 years; Roark et al., 2005; Maynou and Cartes, 2012). Bamboo corals are considered especially important as long-term climatic archives (Hill et al., 2011; LaVigne et al., 2011; Sinclair et al., 2011). Here, bamboo corals were encountered more frequently at the deepest dive site off Lecointe Island in the Gerlache Strait (Dive 7) which could not be presented as having significantly great overall abundances of VME indicator taxa because the ecosystem here was not dominated by a dense coverage of sponges, filamentous bryozoans and hydroids.

Another coral taxon that is considered to be particularly vulnerable to the effects of climate change is the stony scleractinian cup corals. Miller et al. (2011) state that scleractinian corals face a loss of up to 70% of their habitat as the Aragonite Saturation Horizon (below which corals are unable to form calcium carbonate skeletons) rises. They found significant genetic subdivisions among Subantarctic populations that were strongly differentiated by depths consistent with the stratification of Southern Ocean water masses. Miller et al. (2011) therefore concluded that very limited vertical larval dispersal occurs which means that the assumption that shallow occurring populations will act as refuges for deeper water populations is null and void for this taxon. Their findings stress the importance to environmental management of preserving localized populations of Southern Ocean scleractinians not just by region but also by depth.

Although a diversity of corals were common at the three high abundance sites here, some coral taxa, like Acanthogorgia, were not found among the sponges and bryozoans and were only seen in abundance at the deeper site off Lecointe Island. Direct evidence imagery of the impressive coral diversity at this site was presented to CCAMLR in 2018 and the site was declared a VME (CCAMLR, 2018) and joins the other three sites on the registry. However, within the realm of fishing operations, indication of an encounter with a VME is only by passing the one threshold (i.e., 10 kg or liters; CM 22-07; CCAMLR, 2019b). It is possible that if the Lecointe site was fished, that the Acanthogorgia would be large enough to make it to the surface to trigger the threshold and signal move-on but it is certain that the majority of other coral species would not have. Indeed, some of the most vulnerable to disturbance such as the scleractinian stony corals and the stylasterid hydrocorals are also the least likely to make it hundreds of meters to the surface (Rogers et al., 2008). It is clear that CCAMLR’s single threshold combining all VME indicator taxa is insufficient and indeed CCAMLR has recognized this insufficiency itself for many years (e.g., CCAMLR, 2009, 2019c). Moreover, it was clearly set out in the scientific guide to the FAO guidelines (Rogers et al., 2008) that separate thresholds for different taxa be used, or alternatively a diversity index be used in combination.

The health of the Southern Ocean, and the Antarctic Peninsula and Weddell Sea regions in particular, has vast and significant consequences for the global ocean, acting as a ventilator, absorbing heat, fresh water and oxygen (Rogers et al., 2019) as it forms bottom water that transports macronutrients northward (Orsi et al., 1999) and imbibes approximately 10% of anthropogenic carbon dioxide emissions (Hauck et al., 2015). The health of Antarctic benthos, which is largely endemic (Barnes and Tarling, 2017; Barnes et al., 2018) and at threat from invasion of northern species as temperatures rise (Rogers et al., 2019), holds increased significance due to the potential for reliable blue carbon sequestration. Here, one site richly diverse in important coral species did not receive protection based on overall abundances but only by direct imagery evidence. If consideration isn’t given to the composition and/or diversity of VME indicator taxa present, in addition to overall abundance/density, some of the most vulnerable communities are left at risk. A blanket threshold adhered to in fisheries management of the Southern Ocean, and other high seas areas, is grossly insufficient and other management strategies must be employed to ensure that a variety of VMEs are protected and the biodiversity of the Southern Ocean better preserved.

The diversity and abundance of VME taxa encountered on this expedition reinforces the case for swift and ambitious action to establish a network of MPAs. Perhaps the most significant results from this expedition were to remind us of how spectacularly different sites can be from one another, even within relatively close proximity, and to confirm that fishery dependent data alone cannot provide us with a comprehensive understanding of the benthic life of the Southern Ocean. These findings make it even clearer than before that the vast majority of VMEs remain undiscovered and unprotected. A more precautionary approach is therefore needed to complement the VME identification process. In order for CCAMLR to meet conservation objectives and to help ensure the future sustainability of the ecosystem upon which important commercial fisheries depend, a network of large scale MPAs is urgently needed.

Data Availability Statement

The raw data supporting the conclusions of this article are available in the Supplementary Material.

Author Contributions

JH initiated the expedition and edited the manuscript. SL developed and conducted the research with JH piloting the submarine. SL conducted the analysis and prepared the manuscript. Both authors contributed to the article and approved the submitted version.

Funding

The expedition and research were funded by Greenpeace with support from Jamma International. SL was supported by the Pew Charitable Trusts grant #32480 for the preparation of this 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.

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Acknowledgments

We thank the captain and crew of the Arctic Sunrise and the Nuytco operations team for their role in this research. We thank expedition leader, Frida Bengtsson. Rachel Downey, Stefano Ambroso, and Eric Lazo-Wasem provided taxonomic assistance. We are grateful to Christopher Jones and Jefferson Hinke for helpful discussions and valuable statistical assistance. Kathrynlynn Theuerkauf and Anne Christianson provided helpful comments on early drafts of the manuscript. Thanks to Anton van de Putte and Stephano Schiaparelli for critiques which greatly improved the paper. A portion of this research and analysis was submitted to CCAMLR in 2018 as an EMM Working Paper (Lockhart and Hocevar, 2018). CCAMLR Working Papers are archived at CCAMLR and are available by request only.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmars.2021.577761/full#supplementary-material

Footnotes

1. ^ www.nuytco.com
2. ^ www.marinespecies.org
3. ^ www.naturalhistory.si.edu/research/global-arms-program

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