Ecoregionalization of myctophid fish in the Indian sector of the Southern Ocean: Results from generalized dissimilarity models

Koubbi, Philippe; Moteki, Masato; Duhamel, Guy; Goarant, Anne; Hulley, P. Alexander; O’Driscoll, Richard L.; Ishimaru, Takashi; Pruvost, Patrice; Tavernier, Eric; Hosie, Graham W.

doi:10.1016/j.dsr2.2010.09.007

Cited by 73 publications

(63 citation statements)

References 35 publications

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“…Modelled distributions in the Subantarctic region extended north to overlap somewhat with the STC/South Tasman region. The STC appeared to be a stronger boundary for the southerly extent of subtropical species, in agreement with Koubbi et al's [1] ecoregionalisation in the Indian Ocean sector of the Southern Ocean. Subantarctic Mode Water penetrates northward from the Southern Ocean underneath the surface waters of the Subtropical Convergence and Tasman Sea [47], [93], [94], [95].…”

Section: Discussionsupporting

confidence: 90%

“…Species that have affinities with Subantarctic water masses may have ranges extending north into the Subtropical Convergence and southern Tasman Sea if they occupy deep strata. Koubbi et al's [1] ecoregionalisation using generalised dissimilarity modelling (GDM), indicated that there could be up to three pelagic “ecoregions” between the STC and SAF, although the authors acknowledged that there were relatively few samples in this band.…”

Section: Discussionmentioning

confidence: 99%

“…Temperature (at the surface or at depth) and productivity are cited as important predictors of distributions, although the mechanisms by which environmental parameters influence distributions are often unclear [14], [15], [16]. Because of this link between species distribution and oceanography, lanternfishes [1], [9], [12], [17], [18] and other mesopelagic fishes [14], [19], [20], [21] have been used to derive pelagic biogeographic schema. At the ocean basin scale, pelagic biogeography is generally consistent with present-day or ancestral water mass distributions [22], [23] with fronts functioning as barriers to species distribution or mixing sites [24].…”

Section: Introductionmentioning

confidence: 99%

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Lanternfish (Myctophidae) Zoogeography off Eastern Australia: A Comparison with Physicochemical Biogeography

Flynn

Marshall

2013

PLoS ONE

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In this first attempt to model the distributions of a mesopelagic fish family at this scale in the eastern Australian region (10°S to 57°S), lanternfish species occurrence data spanning a period from 1928 to 2010 were modelled against environmental covariates. This involved: (1) data collation and taxonomic quality checking, (2) classification of trawls into “horizontal” (presence-absence) and “oblique” (presence-only) types, and classification of vertical migration patterns using existing literature and the species occurrence database, (3) binomial GAMs using presence-absence data for representative temperate, subtropical and tropical species to examine depth interactions with environmental covariates and refine the selection of environmental layers for presence-only MAXENT models, (4) Presence-only MAXENT modelling using data from all trawls and the reduced environmental layers, and (5) Multivariate analysis (area-wise and species-wise) of the resulting matrix of logistic score by geographic pixel. We test the hypothesis that major fronts in the region (Tasman Front, Subtropical Convergence, Subantarctic Front) represent zoogeographic boundaries. A four-region zoogeographic scheme is hypothesised: Coral Sea region, Subtropical Lower Water region, Subtropical Convergence/South Tasman region and Subantarctic region. The Tasman Front, Subtropical Convergence and Subantarctic Front represented zoogeographic boundaries. An additional boundary at ∼25°S (coined the ‘Capricorn’ boundary) was adopted to delineate the Coral Sea from Subtropical Lower Water regions. Lanternfish zoogeographic regions are congruent with some aspects of two prevailing physicochemical biogeographic schema in the region, but neither of these schema alone accurately predicts lanternfish distributions. As lanternfishes integrate vertical ocean processes, the hypothesised lanternfish zoogeography may represent a useful model for a generalised pelagic biogeography that should be tested for other oceanic groups.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lanternfish (Myctophidae) Zoogeography off Eastern Australia: A Comparison with Physicochemical Biogeography

Flynn

Marshall

2013

PLoS ONE

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“…north of the SAF). Such a behavioural change associated with the SAF is consistent with previous studies indicating that the SAF represents an important biogeographic boundary regarding the latitudinal distribution of warm-water zooplankton (Ansorge et al 1999) and myctophid species (Koubbi 1993, Koubbi et al 2011, as well as top marine predators such as seabirds (Bost et al 2009). …”

Section: Discussionsupporting

confidence: 78%

Southern elephant seal foraging success in relation to temperature and light conditions: insight into prey distribution

Guinet¹,

Vacquié‐Garcia²,

Picard³

et al. 2014

Mar. Ecol. Prog. Ser.

103

131

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The distribution of southern elephant seal Mirounga leonina prey encounter events (PEEs) was investigated from the foraging behaviour of 29 post-breeding females simultaneously equipped with a satellite tag, a time−depth recorder and a head-mounted accelerometer. Seal diving depth and PEE were related to water temperature at 200 m (T 200 ), and light level at the surface (L 0 ) and at depth. Approximately half (49%) of all dives were located in waters encompassed between the southern Antarctic Circumpolar Current Front and the Polar Front. Seals dived significantly deeper during the day than at night. Diving and PEE depth increased with increasing T 200 and for a given T 200 according to L 0 and the percentage of surface light reaching 150 m. On average, 540 PEEs per day were recorded. Seals exhibited more PEEs per unit of time spent diving during the twilight period compared with at night, and were least successful during daylight hours. Elephant seals forage in T 200 ranging between −1 and 13°C; however, few PEEs were recorded at depths shallower than 400−500 m at night when the T 200 exceeded 8°C. The diet of female Kerguelen elephant seals appears to be dominated by myctophids (lanternfish), and according to the average mass of their most likely myctophid prey (9 g, Electrona calsbergi and E. antarctica; 30 g Gymnoscopelus nicholsi and G. piabilis), we estimate that seals consumed 4.8−16.1 kg of fish daily. Despite lower catch rates in warmer waters, no relationship was found between the mean T 200 at the scale of the foraging trip and daily or absolute mass gain, suggesting that elephant seals are compensating for lower catch rates by consuming larger/richer prey items in those waters.

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“…clustering, [11]. For instance, the continental shelf usually supports distinct species assemblages when compared to the deeper ocean [22], [28], [29]; this has also been observed on seamounts [30]. Furthermore, the utility of biogeographical classifications to MPA planning is improved by a hierarchical (nested) classification, which shows the subdivision at increasingly finer scales [2], [20].…”

Section: Introductionmentioning

confidence: 86%

A Hierarchical Classification of Benthic Biodiversity and Assessment of Protected Areas in the Southern Ocean

Douglass

Turner²,

Grantham

et al. 2014

PLoS ONE

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An international effort is underway to establish a representative system of marine protected areas (MPAs) in the Southern Ocean to help provide for the long-term conservation of marine biodiversity in the region. Important to this undertaking is knowledge of the distribution of benthic assemblages. Here, our aim is to identify the areas where benthic marine assemblages are likely to differ from each other in the Southern Ocean including near-shore Antarctica. We achieve this by using a hierarchical spatial classification of ecoregions, bathomes and environmental types. Ecoregions are defined according to available data on biogeographic patterns and environmental drivers on dispersal. Bathomes are identified according to depth strata defined by species distributions. Environmental types are uniquely classified according to the geomorphic features found within the bathomes in each ecoregion. We identified 23 ecoregions and nine bathomes. From a set of 28 types of geomorphic features of the seabed, 562 unique environmental types were classified for the Southern Ocean. We applied the environmental types as surrogates of different assemblages of biodiversity to assess the representativeness of existing MPAs. We found that 12 ecoregions are not represented in MPAs and that no ecoregion has their full range of environmental types represented in MPAs. Current MPA planning processes, if implemented, will substantially increase the representation of environmental types particularly within 8 ecoregions. To meet internationally agreed conservation goals, additional MPAs will be needed. To assist with this process, we identified 107 spatially restricted environmental types, which should be considered for inclusion in future MPAs. Detailed supplementary data including a spatial dataset are provided.

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Ecoregionalization of myctophid fish in the Indian sector of the Southern Ocean: Results from generalized dissimilarity models

Cited by 73 publications

References 35 publications

Lanternfish (Myctophidae) Zoogeography off Eastern Australia: A Comparison with Physicochemical Biogeography

Lanternfish (Myctophidae) Zoogeography off Eastern Australia: A Comparison with Physicochemical Biogeography

Southern elephant seal foraging success in relation to temperature and light conditions: insight into prey distribution

A Hierarchical Classification of Benthic Biodiversity and Assessment of Protected Areas in the Southern Ocean

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