@inbook{
 type = {inbook},
 year = {2019},
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 abstract = {Understanding the ocean environment at a global scale has never been so important due to the need to predict the effects of climate change and its consequences for biodiversity, including the ecosystems and species which are influenced by, and in turn alter, their environment. Here we present world maps of long-term (annual and decadal) averages of the following ocean environment variables: seabed depth and slope; sea surface and near seabed temperatures; current velocity and wind speed; wave and tide height; dissolved, saturated and utilized oxygen; effects of water transparency on photosynthetic radiation and depth; phytoplankton productivity and calcite; nutrients; salinity, pH, and suspended particulates; and summer and winter ice cover. We point out some of their key geographic features, correlations between variables, and interrelationships.},
 bibtype = {inbook},
 author = {Basher, Zeenatul and Costello, Mark J.},
 doi = {10.1016/b978-0-12-409548-9.12076-7},
 chapter = {World Maps of Ocean Environment Variables},
 title = {Reference Module in Earth Systems and Environmental Sciences}
}

Understanding the ocean environment at a global scale has never been so important due to the need to predict the effects of climate change and its consequences for biodiversity, including the ecosystems and species which are influenced by, and in turn alter, their environment. Here we present world maps of long-term (annual and decadal) averages of the following ocean environment variables: seabed depth and slope; sea surface and near seabed temperatures; current velocity and wind speed; wave and tide height; dissolved, saturated and utilized oxygen; effects of water transparency on photosynthetic radiation and depth; phytoplankton productivity and calcite; nutrients; salinity, pH, and suspended particulates; and summer and winter ice cover. We point out some of their key geographic features, correlations between variables, and interrelationships.

@article{
 title = {GMED: Global Marine Environment Datasets for environment visualisation and species distribution modelling},
 type = {article},
 year = {2018},
 pages = {1-62},
 publisher = {Copernicus GmbH},
 id = {ea1f949b-3fa5-34aa-ab88-b459d4e91847},
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 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 source_type = {JOUR},
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 abstract = {The Global Marine Environment Datasets (GMED) is a compilation of publicly available climatic, biological and geophysical environmental layers featuring present, past and future environmental conditions. Marine biologists increasingly utilize geo-spatial techniques with modelling algorithms to visualize and predict species biodiversity at a global scale. Marine environmental datasets available for species distribution modelling (SDM) have different spatial resolutions and are frequently provided in assorted file formats. This makes data assembly one of the most time-consuming parts of any study using multiple environmental layers for biogeography visualization or SDM applications. GMED covers the widest available range of environmental layers from a variety of sources and depths from the surface to the deepest part of the ocean. It has a uniform spatial extent, high-resolution land mask (to eliminate land areas in the marine regions), and high spatial resolution (5 arc-minute, c. 9.2 km near equator). The free public online availability of GMED enables rapid map overlay of species of interest (e.g. endangered or invasive) against different environmental conditions of the past, present and the future, and expedites mapping distribution ranges of species using popular SDM algorithms. GMED can be found at http://gmed.auckland.ac.nz/ (DOI: https://10.6084/m9.figshare.5937268)},
 bibtype = {article},
 author = {Basher, Zeenatul and Bowden, David A and Costello, Mark J},
 journal = {Earth System Science Data Discussions}
}

The Global Marine Environment Datasets (GMED) is a compilation of publicly available climatic, biological and geophysical environmental layers featuring present, past and future environmental conditions. Marine biologists increasingly utilize geo-spatial techniques with modelling algorithms to visualize and predict species biodiversity at a global scale. Marine environmental datasets available for species distribution modelling (SDM) have different spatial resolutions and are frequently provided in assorted file formats. This makes data assembly one of the most time-consuming parts of any study using multiple environmental layers for biogeography visualization or SDM applications. GMED covers the widest available range of environmental layers from a variety of sources and depths from the surface to the deepest part of the ocean. It has a uniform spatial extent, high-resolution land mask (to eliminate land areas in the marine regions), and high spatial resolution (5 arc-minute, c. 9.2 km near equator). The free public online availability of GMED enables rapid map overlay of species of interest (e.g. endangered or invasive) against different environmental conditions of the past, present and the future, and expedites mapping distribution ranges of species using popular SDM algorithms. GMED can be found at http://gmed.auckland.ac.nz/ (DOI: https://10.6084/m9.figshare.5937268)

@article{
 title = {The past, present and future distribution of a deep-sea shrimp in the Southern Ocean},
 type = {article},
 year = {2016},
 keywords = {Antarctica,Benthos,Biogeography,Climate change,Decapod,Last glacial maximum,Range shift,Refugia,Species distribution modeling},
 pages = {e1713},
 volume = {2016},
 publisher = {PeerJ Inc.},
 id = {8e07a57e-5904-3462-afec-9a8212a9e8de},
 created = {2021-04-23T05:48:39.303Z},
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 abstract = {Shrimps have a widespread distribution across the shelf, slope and seamount regions of the Southern Ocean. Studies of Antarctic organisms have shown that individual species and higher taxa display different degrees of sensitivity and adaptability in response to environmental change. We use species distribution models to predict changes in the geographic range of the deep-sea Antarctic shrimp Nematocarcinus lanceopes under changing climatic conditions from the Last Glacial Maximum to the present and to the year 2100. The present distribution range indicates a pole-ward shift of the shrimp population since the last glaciation. This occurred by colonization of slopes from nearby refugia located around the northern part of Scotia Arc, southern tip of South America, South Georgia, Bouvet Island, southern tip of the Campbell plateau and Kerguelen plateau. By 2100, the shrimp are likely to expand their distribution in east Antarctica but have a continued pole-ward contraction in west Antarctica. The range extension and contraction process followed by the deep-sea shrimp provide a geographic context of how other deep-sea Antarctic species may have survived during the last glaciation and may endure with projected changing climatic conditions in the future.},
 bibtype = {article},
 author = {Basher, Zeenatul and Costello, Mark J.},
 doi = {10.7717/peerj.1713},
 journal = {PeerJ},
 number = {2}
}

Shrimps have a widespread distribution across the shelf, slope and seamount regions of the Southern Ocean. Studies of Antarctic organisms have shown that individual species and higher taxa display different degrees of sensitivity and adaptability in response to environmental change. We use species distribution models to predict changes in the geographic range of the deep-sea Antarctic shrimp Nematocarcinus lanceopes under changing climatic conditions from the Last Glacial Maximum to the present and to the year 2100. The present distribution range indicates a pole-ward shift of the shrimp population since the last glaciation. This occurred by colonization of slopes from nearby refugia located around the northern part of Scotia Arc, southern tip of South America, South Georgia, Bouvet Island, southern tip of the Campbell plateau and Kerguelen plateau. By 2100, the shrimp are likely to expand their distribution in east Antarctica but have a continued pole-ward contraction in west Antarctica. The range extension and contraction process followed by the deep-sea shrimp provide a geographic context of how other deep-sea Antarctic species may have survived during the last glaciation and may endure with projected changing climatic conditions in the future.

@article{
 title = {Diversity and distribution of deep-sea shrimps in the Ross Sea region of Antarctica},
 type = {article},
 year = {2014},
 pages = {e103195},
 volume = {9},
 publisher = {Public Library of Science},
 id = {e01b874d-b6a4-3fe1-bfc8-0b34c64bb467},
 created = {2021-04-23T06:13:06.172Z},
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 abstract = {Although decapod crustaceans are widespread in the oceans, only Natantia (shrimps) are common in the Antarctic. Because remoteness, depth and ice cover restrict sampling in the South Ocean, species distribution modelling is a useful tool for evaluating distributions. We used physical specimen and towed camera data to describe the diversity and distribution of shrimps in the Ross Sea region of Antarctica. Eight shrimp species were recorded: Chorismus antarcticus; Notocrangon antarcticus; Nematocarcinus lanceopes; Dendrobranchiata ; Pasiphaea scotiae; Pasiphaea cf. ledoyeri; Petalidium sp., and a new species of Lebbeus. For the two most common species, N. antarcticus and N. lanceopes, we used maximum entropy modelling, based on records of 60 specimens and over 1130 observations across 23 sites in depths from 269 m to 3433 m, to predict distributions in relation to environmental variables. Two independent sets of environmental data layers at 0.05° and 0.5° resolution respectively, showed how spatial resolution affected the model. Chorismus antarcticus and N. antarcticus were found only on the continental shelf and upper slopes, while N. lanceopes, Lebbeus n. sp., Dendrobranchiata, Petalidium sp., Pasiphaea cf. ledoyeri, and Pasiphaea scotiae were found on the slopes, seamounts and abyssal plain. The environmental variables that contributed most to models for N. antarcticus were depth, chlorophyll-a concentration, temperature, and salinity, and for N. lanceopes were depth, ice concentration, seabed slope/rugosity, and temperature. The relative ranking, but not the composition of these variables changed in models using different spatial resolutions, and the predicted extent of suitable habitat was smaller in models using the finer-scale environmental layers. Our modelling indicated that shrimps were widespread throughout the Ross Sea region and were thus likely to play important functional role in the ecosystem, and that the spatial resolution of data needs to be considered both in the use of species distribution models. © 2014 Basher et al.},
 bibtype = {article},
 author = {Basher, Zeenatul and Bowden, David A. and Costello, Mark J.},
 doi = {10.1371/journal.pone.0103195},
 journal = {PLoS ONE},
 number = {7}
}

Although decapod crustaceans are widespread in the oceans, only Natantia (shrimps) are common in the Antarctic. Because remoteness, depth and ice cover restrict sampling in the South Ocean, species distribution modelling is a useful tool for evaluating distributions. We used physical specimen and towed camera data to describe the diversity and distribution of shrimps in the Ross Sea region of Antarctica. Eight shrimp species were recorded: Chorismus antarcticus; Notocrangon antarcticus; Nematocarcinus lanceopes; Dendrobranchiata ; Pasiphaea scotiae; Pasiphaea cf. ledoyeri; Petalidium sp., and a new species of Lebbeus. For the two most common species, N. antarcticus and N. lanceopes, we used maximum entropy modelling, based on records of 60 specimens and over 1130 observations across 23 sites in depths from 269 m to 3433 m, to predict distributions in relation to environmental variables. Two independent sets of environmental data layers at 0.05° and 0.5° resolution respectively, showed how spatial resolution affected the model. Chorismus antarcticus and N. antarcticus were found only on the continental shelf and upper slopes, while N. lanceopes, Lebbeus n. sp., Dendrobranchiata, Petalidium sp., Pasiphaea cf. ledoyeri, and Pasiphaea scotiae were found on the slopes, seamounts and abyssal plain. The environmental variables that contributed most to models for N. antarcticus were depth, chlorophyll-a concentration, temperature, and salinity, and for N. lanceopes were depth, ice concentration, seabed slope/rugosity, and temperature. The relative ranking, but not the composition of these variables changed in models using different spatial resolutions, and the predicted extent of suitable habitat was smaller in models using the finer-scale environmental layers. Our modelling indicated that shrimps were widespread throughout the Ross Sea region and were thus likely to play important functional role in the ecosystem, and that the spatial resolution of data needs to be considered both in the use of species distribution models. © 2014 Basher et al.

@article{
 title = {Global marine environment dataset (GMED)},
 type = {article},
 year = {2014},
 volume = {1},
 websites = {https://gmed.auckland.ac.nz},
 id = {32d60844-b6ec-3376-bca4-5f9f39f21153},
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 author = {Basher, Z and Bowden, D A and Costello, M J},
 journal = {World Wide Web electronic publication. Version}
}