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4 results on '"Integrated Marine Observing System (IMOS)"'

1. Scaling of Activity Space in Marine Organisms across Latitudinal Gradients

Author

Udyawer, Vinay, Huveneers, Charlie, Jaine, Fabrice, Babcock, Russell C., Brodie, Stephanie, Buscot, Marie-jeanne, Campbell, Hamish A., Harcourt, Robert G., Hoenner, Xavier, Lédée, Elodie J. I., Simpfendorfer, Colin A., Taylor, Matthew D., Armstrong, Asia, Barnett, Adam, Brown, Culum, Bruce, Barry, Butcher, Paul A., Cadiou, Gwenael, Couturier, Lydie I. E., Currey-randall, Leanne, Drew, Michael, Dudgeon, Christine L., Dwyer, Ross G., Espinoza, Mario, Ferreira, Luciana C., Fowler, Anthony, Harasti, David, Harborne, Alastair R., Knott, Nathan A., Lee, Kate, Lloyd, Matt, Lowry, Michael, Marzullo, Teagan, Matley, Jordan, Mcallister, Jaime D., Mcauley, Rory, Mcgregor, Frazer, Meekan, Mark, Mills, Kade, Norman, Bradley M., Oh, Beverly, Payne, Nicholas L., Peddemors, Vic, Piddocke, Toby, Pillans, Richard D., Reina, Richard D., Rogers, Paul, Semmens, Jayson M., Smoothey, Amy, Speed, Conrad W., Van Der Meulen, Dylan, Heupel, Michelle R., Udyawer, Vinay, Huveneers, Charlie, Jaine, Fabrice, Babcock, Russell C., Brodie, Stephanie, Buscot, Marie-jeanne, Campbell, Hamish A., Harcourt, Robert G., Hoenner, Xavier, Lédée, Elodie J. I., Simpfendorfer, Colin A., Taylor, Matthew D., Armstrong, Asia, Barnett, Adam, Brown, Culum, Bruce, Barry, Butcher, Paul A., Cadiou, Gwenael, Couturier, Lydie I. E., Currey-randall, Leanne, Drew, Michael, Dudgeon, Christine L., Dwyer, Ross G., Espinoza, Mario, Ferreira, Luciana C., Fowler, Anthony, Harasti, David, Harborne, Alastair R., Knott, Nathan A., Lee, Kate, Lloyd, Matt, Lowry, Michael, Marzullo, Teagan, Matley, Jordan, Mcallister, Jaime D., Mcauley, Rory, Mcgregor, Frazer, Meekan, Mark, Mills, Kade, Norman, Bradley M., Oh, Beverly, Payne, Nicholas L., Peddemors, Vic, Piddocke, Toby, Pillans, Richard D., Reina, Richard D., Rogers, Paul, Semmens, Jayson M., Smoothey, Amy, Speed, Conrad W., Van Der Meulen, Dylan, and Heupel, Michelle R.

Abstract

Unifying models have shown that the amount of space used by animals (e.g., activity space, home range) scales allometrically with body mass for terrestrial taxa; however, such relationships are far less clear for marine species. We compiled movement data from 1,596 individuals across 79 taxa collected using a continental passive acoustic telemetry network of acoustic receivers to assess allometric scaling of activity space. We found that ectothermic marine taxa do exhibit allometric scaling for activity space, with an overall scaling exponent of 0.64. However, body mass alone explained only 35% of the variation, with the remaining variation best explained by trophic position for teleosts and latitude for sharks, rays, and marine reptiles. Taxon-specific allometric relationships highlighted weaker scaling exponents among teleost fish species (0.07) than sharks (0.96), rays (0.55), and marine reptiles (0.57). The allometric scaling relationship and scaling exponents for the marine taxonomic groups examined were lower than those reported from studies that had collated both marine and terrestrial species data derived using various tracking methods. We propose that these disparities arise because previous work integrated summarized data across many studies that used differing methods for collecting and quantifying activity space, introducing considerable uncertainty into slope estimates. Our findings highlight the benefit of using large-scale, coordinated animal biotelemetry networks to address cross-taxa evolutionary and ecological questions.

Published
2023
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2. Scaling of Activity Space in Marine Organisms across Latitudinal Gradients

Author

Vinay Udyawer, Charlie Huveneers, Fabrice Jaine, Russell C. Babcock, Stephanie Brodie, Marie-Jeanne Buscot, Hamish A. Campbell, Robert G. Harcourt, Xavier Hoenner, Elodie J. I. Lédée, Colin A. Simpfendorfer, Matthew D. Taylor, Asia Armstrong, Adam Barnett, Culum Brown, Barry Bruce, Paul A. Butcher, Gwenael Cadiou, Lydie I. E. Couturier, Leanne Currey-Randall, Michael Drew, Christine L. Dudgeon, Ross G. Dwyer, Mario Espinoza, Luciana C. Ferreira, Anthony Fowler, David Harasti, Alastair R. Harborne, Nathan A. Knott, Kate Lee, Matt Lloyd, Michael Lowry, Teagan Marzullo, Jordan Matley, Jaime D. McAllister, Rory McAuley, Frazer McGregor, Mark Meekan, Kade Mills, Bradley M. Norman, Beverly Oh, Nicholas L. Payne, Vic Peddemors, Toby Piddocke, Richard D. Pillans, Richard D. Reina, Paul Rogers, Jayson M. Semmens, Amy Smoothey, Conrad W. Speed, Dylan van der Meulen, Michelle R. Heupel, Australian Institute of Marine Science (AIMS), Flinders Univ S Australia, Coll Sci & Engn, Natl Ctr Groundwater Res & Training, GPO Box 2100, Adelaide, SA, Australia, Partenaires INRAE, Sydney Institute of Marine Science, Macquarie University [Sydney], Queensland Bioscience Precinct, Environmental Research Division [USA], Southwest Fisheries Science Center (SWFSC), NOAA National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA)-NOAA National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC), University of Tasmania [Launceston] (UTAS), Charles Darwin University [Australia], Department of Biological Sciences, Macquarie University, Macquarie University, Department of Biological Sciences, CISRO Oceans and Atmosphere, Carleton University, James Cook University (JCU), Industry and Investment NSW, Port Stephens Fisheries Institute, University of Queensland [Brisbane], National Oceanic and Atmospheric Administration (NOAA), Department of Biological Sciences [North Ryde], Macquarie University, The University of Tennessee [Knoxville], NSW DPI NEW SOUTH WALES GOVERNMENT DEPARTMENT OF PRIMARY INDUSTRIES FISHERIES NSW WOLLONGONG AUS, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), University of Technology Sidney (UTS), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Université de Brest (UBO), University of the Sunshine Coast (USC), Universidad de Costa Rica (UCR), Indian Ocean Marine Res Ctr, Florida International University [Miami] (FIU), New South Wales Dept Primary Ind, University of New South Wales [Sydney] (UNSW), University of Windsor [Ca], University of Tasmania [Hobart, Australia] (UTAS), The University of Western Australia (UWA), Murdoch University, Victorian Natl Pk Assoc, Southern Cross University (SCU), Monash university, and South Australian Research and Development Institute [Australia]

Subjects
Brownian bridge kernel utilization distribution (KUD), continental network, Integrated Marine Observing System (IMOS), spatial ecology, Integrated Marine Ob-serving System (IMOS), Brownian bridge kernel utilizationdistribution (KUD), [SDE.BE]Environmental Sciences/Biodiversity and Ecology, metabolic theory, acoustic telemetry, Ecology, Evolution, Behavior and Systematics
Abstract

Unifying models have shown that the amount of space used by animals (e.g., activity space, home range) scales allometrically with body mass for terrestrial taxa; however, such relationships are far less clear for marine species. We compiled movement data from 1,596 individuals across 79 taxa collected using a continental passive acoustic telemetry network of acoustic receivers to assess allometric scaling of activity space. We found that ectothermic marine taxa do exhibit allometric scaling for activity space, with an overall scaling exponent of 0.64. However, body mass alone explained only 35% of the variation, with the remaining variation best explained by trophic position for teleosts and latitude for sharks, rays, and marine reptiles. Taxon-specific allometric relationships highlighted weaker scaling exponents among teleost fish species (0.07) than sharks (0.96), rays (0.55), and marine reptiles (0.57). The allometric scaling relationship and scaling exponents for the marine taxonomic groups examined were lower than those reported from studies that had collated both marine and terrestrial species data derived using various tracking methods. We propose that these disparities arise because previous work integrated summarized data across many studies that used differing methods for collecting and quantifying activity space, introducing considerable uncertainty into slope estimates. Our findings highlight the benefit of using large-scale, coordinated animal biotelemetry networks to address cross-taxa evolutionary and ecological questions.

Published
2023
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3. Assessing the Use of Area- and Time-Averaging Based on Known De-correlation Scales to Provide Satellite Derived Sea Surface Temperatures in Coastal Areas

Author

Kate A. Lee, Moninya Roughan, Hamish A. Malcolm, and Nicholas M. Otway

Subjects
Integrated Marine Observing System (IMOS), in situ water temperature, national reference stations, satellite remote sensing, sea temperature fluctuations, SST, Science, General. Including nature conservation, geographical distribution, QH1-199.5
Abstract

Satellite derived sea surface temperatures (SSTs) are often used as a proxy for in situ water temperatures, as they are readily available over large spatial and temporal scales. However, contamination of satellite images can prohibit their use in coastal areas. We compared in situ temperatures to SST foundation (~10 m depth) at 31 sites inshore of the East Australian Current (EAC), the dynamic western boundary current of the south Pacific gyre, using an area averaging approach to overcome coastal contamination. Varying across- and along-shelf distances were used to area average SST measurements and de-correlation time scales were used to gap fill data. As the EAC is typically anisotropic (dominant along-shore flow) the choice of across-shelf distances influenced the correlation with in situ temperatures more than along-shelf distances. However, the “optimal” distances for both measurements were within known de-correlation length scales. Incorporating both SST area and time averaging (based on de-correlation time scales) produced data for an average of 96% of days that in situ loggers were deployed, compared to 27% (52%) without (with) area averaging. Temperature differences between the in situ data and SSTs varied depending on time of year, with higher differences in the austral summer when daily in situ temperatures can range by up to 4.20°C. The differences between the in situ and SST measurements were, however, significant with or without area averaging (t-test: p-values < 0.05). Nevertheless, when using the area averaging approaches SSTs were only an average of ~1.05°C different from in situ temperatures and less than in situ temperature fluctuations. Linear mixed models revealed that latitude, distance to the coast and nearest estuary did not influence the difference between the in situ and satellite data as much as the water depth. This study shows that using de-correlation length and time scales to inform how to process satellite data can overcome contamination and missing data thereby greatly increasing the coverage and utility of SST data, particularly in coastal areas.

Published
2018
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4. Over 75 years of Zooplankton data from Australia.

Author

Davies, Claire H., Armstrong, Amelia J., Baird, Mark, Coman, Frank, Edgar, Steven, Gaughan, Daniel, Greenwood, Jack, Gusmão, Felipe, Henschke, Natasha, Koslow, J. Anthony, Leterme, Sophie C., McKinnon, A. David, Miller, Margaret, Pausina, Sarah, Palomino, Julian Uribe, Roennfeldt, Ruben-Lee, Rothlisberg, Peter, Slotwinski, Anita, Strzelecki, Joanna, and Suthers, Iain M.

Subjects
*ZOOPLANKTON, *SPECIES diversity, *PLANKTON, *BIOGEOGRAPHY, GEOGRAPHICAL distribution of Copepoda
Abstract

Zooplankton are the key trophic link between primary producers and fish in pelagic ecosystems. Historically, there are few Zooplankton time series in Australia, with no data sets longer than two years prior to 2008. Here we compile 98676 abundance records of more than 1000 Zooplankton taxa from unpublished research cruises, student projects, published literature, and the recent Integrated Marine Observing System (IMOS). This data set covers the entire coastal and shelf region of Australia and dates back to 1938. Most records are for copepods, but there are also data for other taxa such as decapods, chaetognaths, thaliaceans, appendicularians, and cladocerans. Metadata are provided for each record, including dates, coordinates, and information on mesh size and sampling methods. To facilitate analysis across the multiple data sets, we have updated the species names according to the World Register of Marine Species (WoRMS) and converted units to abundance per cubic meter. These data will be valuable for studies of biodiversity, biogeography, impacts of climate change, and ecosystem health. We encourage researchers holding additional Australian Zooplankton data to contact us and contribute their data to the data set so we can periodically publish updates. [ABSTRACT FROM AUTHOR]

Published
2014
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