85 results on '"Ingleton, T"'
Search Results
2. Mapping the Shoreface of Coastal Sediment Compartments to Improve Shoreline Change Forecasts in New South Wales, Australia
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Kinsela, M. A., Hanslow, D. J., Carvalho, R. C., Linklater, M., Ingleton, T. C., Morris, B. D., Allen, K. M., Sutherland, M. D., and Woodroffe, C. D.
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- 2022
- Full Text
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3. Temperate rocky reef on the southeast Australian continental shelf
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Ingleton, T., primary, Neilson, J., additional, Davies, P., additional, Foulsham, E., additional, Linklater, M., additional, Hanslow, D., additional, and Jordan, A., additional
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- 2020
- Full Text
- View/download PDF
4. List of contributors
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Abernethy, C., primary, Acoba, T., additional, Alvarez, Belinda, additional, Amado Filho, Gilberto M., additional, Amblas, D., additional, Angeletti, Lorenzo, additional, Archer, S.K., additional, Aschoff, John, additional, Auster, Peter J., additional, Avena, Paloma P., additional, Babb, Ivar, additional, Bahia, Ricardo, additional, Baker, Elaine K., additional, Baker, Matthew, additional, Bakkeplass, Kjell, additional, Båmstedt, Ulf, additional, Barrie, J. Vaughn, additional, Barymova, A.A., additional, Bastos, Alex C., additional, Bell, Trevor, additional, Ben, Radford, additional, Boni, Geandré C., additional, Boswarva, K.L., additional, Brandão, Simone Nunes, additional, Brizzolara, Jennifer L., additional, Brown, Craig J., additional, Brown, Tanya M, additional, Budanov, Leonid, additional, Buhl-Mortensen, Lene, additional, Buhl-Mortensen, Pål, additional, Burgos, Julian M., additional, Burke, L.A., additional, Calvert, Jay, additional, Canals, M., additional, Carpenter, Mallory, additional, Carroll, Andrew, additional, Chadi, Deena, additional, Church, Ian, additional, Clark, Malcolm R., additional, Coffin, Millard F., additional, Collin, Antoine, additional, Conlon, Suzanne, additional, Conroy, Christian W., additional, Conway, Kim W., additional, Curtis, Brittany, additional, da Silva, André Giskard Aquino, additional, da Silva, Carla Maria Menegola, additional, da Silva, João Paulo Ferreira, additional, Davies, P., additional, De Lauro, M., additional, de Oliveira, Renato Guimarães, additional, de Oliveira Batista, Diêgo, additional, Desnos, Yves-Louis, additional, Devillers, Rodolphe, additional, Di Stefano, Floriana, additional, Di Stefano, Massimo, additional, Dijkstra, J.A., additional, Dohner, Stephanie M., additional, Domack, Eugene W., additional, Dominguez, José M.L., additional, Dominguez, José Maria Landim, additional, Dove, D., additional, Dunham, A., additional, d’Acremont, Elia, additional, D’Angelo, Silvana, additional, Edinger, Evan, additional, Eichler, P.B., additional, Eichler, Patrícia Pinheiro Beck, additional, Esposito, E., additional, Farias, Carlos, additional, Farrell, Eugene, additional, Fernandez, Rodrigo, additional, Fernández-Salas, Luis M., additional, Ferreira, Beatrice P., additional, Ferreira, Lucas C., additional, Fiorentino, Andrea, additional, Foglini, Federica, additional, Fontes, Vanessa C., additional, Foulsham, E., additional, Fox, C., additional, Fox, Jodi M., additional, Fraile-Nuez, Eugenio, additional, Gábor, Lukáš, additional, Gallardo-Núñez, Marina, additional, Galparsoro, Ibon, additional, Galvez, Daphnie, additional, Gardner, Jonathan, additional, Garmendia, Joxe Mikel, additional, Geange, Shane, additional, Glasby, Chris, additional, Glenner, Henrik, additional, Gomes, M.P., additional, Gomes, Moab Praxedes, additional, Gontz, Allen M., additional, González-Dávila, Melchor, additional, González-Porto, Marcos, additional, Gràcia, Eulàlia, additional, Grande, Valentina, additional, Grasty, Sarah E., additional, Gray, John W., additional, Greene, H. Gary, additional, Grinyó, Jordi, additional, Grüss, A., additional, Guinan, J., additional, Günther, Carmen-Pia, additional, Hanslow, D., additional, Harris, Peter T., additional, Hass, H. Christian, additional, Häussermann, V., additional, Hill, Nicole, additional, Howe, J.A., additional, Howell, Kerry, additional, Ilich, Alex R., additional, Ingleton, T., additional, Isachenko, A.I., additional, Jamieson, Alan J., additional, Jordan, A., additional, Joshi, Siddhi, additional, Kaskela, Anu, additional, Kirchhoff, Stephane, additional, Koetz, Benjamin, additional, Kokorin, A.I., additional, Kotilainen, Aarno, additional, Kozlovskiy, V.V., additional, Kruss, Aleksandra, additional, Kuhn, Thomas, additional, Kung, R., additional, Lacharité, Myriam, additional, Laferriere, Alix, additional, Lafosse, Manfred, additional, Lamarche, Geoffroy, additional, Lapointe, Abby, additional, Laporte, Jean, additional, Lavoie, Caroline, additional, Leahy, Y., additional, Lecours, Vincent, additional, Leite, Marcos Daniel A., additional, Leite, Tatiana Silva, additional, Lemos, Ivan Cardoso, additional, Lettieri, Maria Teresa, additional, Leventer, Amy, additional, Linklater, M., additional, Lo Iacono, Claudio, additional, Longo, G.O., additional, López-González, Nieves, additional, Lozano, Pablo, additional, Lucieer, Vanessa, additional, Lyons, David, additional, Madricardo, Fantina, additional, Maida, Mauro, additional, Malik, M., additional, Martel, André, additional, Martinez Arbizu, Pedro, additional, Martin-Lauzer, François-Régis, additional, Masetti, G., additional, Mata, Dulce, additional, Mayer, Larry Alan, additional, McGonigle, Chris, additional, Mello, K., additional, Melo, Lizandra C., additional, Mikhaylyukova, P.G., additional, Miller, Douglas C., additional, Mokievsky, V.O., additional, Montereale-Gavazzi, Giacomo, additional, Moraes, Fernando C., additional, Moura, Rodrigo L., additional, Muaves, Lara Cristina, additional, Muñoz, Araceli, additional, Murawski, Steven A., additional, Muxika, Iñigo, additional, Naar, David F., additional, Narayanaswamy, B.E., additional, Nascimento Silva, L.L., additional, Neevin, Igor, additional, Neilson, J., additional, Nichol, Scott, additional, Nilsson, Martin, additional, Normandeau, Alexandre, additional, Nunes, Alina S., additional, Obando, R., additional, Óðinsson, Davíð Þór, additional, Ólafsdóttir, Steinunn H., additional, Oliveira, Natacha, additional, Orlova, Marina, additional, O’Brien, P.E., additional, O’Dowd, Leonie, additional, O’Sullivan, D., additional, Pallentin, Arne, additional, Palomino, Desirée, additional, Papenmeier, Svenja, additional, Penna, Shannon, additional, Perea, Hector, additional, Pesch, Roland, additional, Picard, Kim, additional, Pierdomenico, Martina, additional, Post, Alexandra L., additional, Prampolini, Mariacristina, additional, Propp, Claudia, additional, Przeslawski, Rachel, additional, Quaresma, Valéria S., additional, Rabaute, Alain, additional, Rayo, X., additional, Rebouças, Renata C., additional, Repkina, T.Yu., additional, Riddle, M.J., additional, Rodríguez, José Germán, additional, Romero, J., additional, Ross, R., additional, Rovira, D., additional, Rowden, Ashley A., additional, Rueda, José L., additional, Rühlemann, Carsten, additional, Russo, Giovanni Fulvio, additional, Ryabchuk, Daria, additional, Rybalko, A.E., additional, Sacchetti, F., additional, Sameoto, Jessica A., additional, Sánchez-Guillamón, Olga, additional, Santana-Casiano, J. Magdalena, additional, Schuchardt, Bastian, additional, Secchin, Nélio, additional, Sergeev, Alexander, additional, Shabalyn, N.V., additional, Shapiro, Aurélie, additional, Shaw, J., additional, Sigovini, Marco, additional, Smith, J., additional, Smith, J.R., additional, Smith, Stephen J., additional, Sotomayor-Garcia, Ana, additional, Sowers, D., additional, Stefaniak, Lauren M., additional, Stewart, Heather A., additional, Stockwell, Caitlin L., additional, Sukhacheva, Leontina, additional, Tappin, David R., additional, Taviani, Marco, additional, Teixeira, Luisa, additional, Terekhina, Ya.E., additional, Todd, Brian J., additional, Tokarev, M.Yu., additional, Toso, Carlotta, additional, Trembanis, Arthur C., additional, Uhlenkott, Katja, additional, Urra, Javier, additional, Varas, Diego, additional, Vázquez, Juan T., additional, Viana, Marina Gomes, additional, Vieira, Laura S., additional, Vila, Yolanda, additional, Vink, Annemiek, additional, Violante, C., additional, Violante, Crescenzo, additional, Viscasillas, Lourdes, additional, Vital, H., additional, Vital, Helenice, additional, Watling, Les, additional, Watson, Sally J., additional, Weijerman, M., additional, Whittaker, Joanne, additional, Ylla, J., additional, Zajac, Roman N., additional, Zeiler, Manfred, additional, and Zhamoida, Vladimir, additional
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- 2020
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5. Anchors aweigh?: The visible and invisible effects of anchored ocean-going vessels
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Australasian Port and Harbour Conference (16th : 2017 : Cairns, Qld.), Steele, Chantel, Broad, Allison, Ingleton, T, and Davis, Andrew R
- Published
- 2017
6. Selecting zones in a marine park: Early systematic planning improves cost-efficiency; combining habitat and biotic data improves effectiveness
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Malcolm, H.A., Foulsham, E., Pressey, R.L., Jordan, A., Davies, P.L., Ingleton, T., Johnstone, N., Hessey, S., and Smith, S.D.A.
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- 2012
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7. Long-term changes in temperate Australian coastal waters : implications for phytoplankton
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Thompson, P. A., Baird, M. E., Ingleton, T., and Doblin, M. A.
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- 2009
8. Australian multibeam guidelines
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Picard, K., primary, Austine, K., additional, Bergersen, N., additional, Cullen, R., additional, Dando, N., additional, Donohue, D., additional, Edwards, S., additional, Ingleton, T., additional, Jordan, A., additional, Lucieer, V., additional, Parnum, I., additional, Siwabessy, J., additional, Spinoccia, M., additional, Talbot-Smith, R., additional, Waterson, C., additional, Barrett, N., additional, Beaman, R, additional, Bergersen, D., additional, Boyd, M., additional, Brace, B., additional, Brooke, B., additional, Cantrill, O., additional, Case, M., additional, Dunne, S., additional, Fellows, M., additional, Harris, U., additional, Ierodiaconou, D., additional, Johnstone, E., additional, Kennedy, P., additional, Leplastrier, A., additional, Lewis, A., additional, Lytton, S., additional, Mackay, K., additional, McLennan, S., additional, Mitchell, C., additional, Nichol, S., additional, Post, A., additional, Price, A., additional, Przeslawski, R., additional, Pugsley, L., additional, Quadros, N., additional, Smith, J., additional, Stewart, W., additional, Sullivan, J., additional, Tran, M., additional, and Whiteway, T., additional
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- 2018
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9. Chapter 28 - Temperate rocky reef on the southeast Australian continental shelf
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Ingleton, T., Neilson, J., Davies, P., Foulsham, E., Linklater, M., Hanslow, D., and Jordan, A.
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- 2020
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10. Microbial tropicalization driven by a strengthening western ocean boundary current
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Messer, LF, Ostrowski, M, Doblin, MA, Petrou, K, Baird, ME, Ingleton, T, Bissett, A, Van de Kamp, J, Nelson, T, Paulsen, I, Bodrossy, L, Fuhrman, JA, Seymour, JR, and Brown, MV
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Ecology ,05 Environmental Sciences, 06 Biological Sciences - Published
- 2020
11. Australian Multibeam Guidelines [Version 2]
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Picard, K., Leplastrier, A., Austine, K., Bergensen, N., Cullen, R., Dando, N., Donohue, D., Edwards, S., Ingleton, T., Jordan, A., Lucieer, V., Parnum, I., Siwabessy, J., Spinoccia, M., Talbot-Smith, R., Waterson, C., Barrett, N., Beaman, R., Bergersen, D., Boyd, M., Brace, B., Brooke, B., Cantrill, O., Case, M., Dunne, S., Felllows, M., Harris, U., Ierodicaonou, D., Johnstone, E., Kennedy, P., Lewis, A., Lytton, S., Mackay, K., McLennan, S., Mitchell, C., Nichol, S., Post, A., Price, A., Przeslawski, R., Pugsley, L., Quadros, N., Smith, J., Stewart, W., Sullivan, J., Tran, M., and Whiteway, T.
- Subjects
Data quality control [Data Management Practices] ,Environment [Parameter Discipline] ,Data archival/stewardship/curation ,Data analysis ,multi-beam echosounders [Instrument Type Vocabulary] ,Marine geology [Parameter Discipline] ,Marine acoustics ,Data processing [Data Management Practices] ,Data acquisition [Data Management Practices] ,Metadata management [Data Management Practices] - Abstract
The primary objective of this guideline is thus to establish common approaches of acquisition and processing that will result in greater applicability and interoperability of swath acoustic mapping data. These approaches will also provide improved consistency in the collection and description of the data, increasing utility. To achieve this objective, AusSeabed, a national seabed mapping coordination program run by a consortium of representatives from Commonwealth and State governments, universities and industry, was formed. AusSeabed’s role is to encourage and facilitate the initial collection of seabed mapping data and make it available for use by all stakeholders. Published Current 14.a N/A Bathymetry Backscatter
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- 2020
12. Mapping the Shoreface of Coastal Sediment Compartments to Improve Shoreline Change Forecasts in New South Wales, Australia
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Kinsela, M. A., primary, Hanslow, D. J., additional, Carvalho, R. C., additional, Linklater, M., additional, Ingleton, T. C., additional, Morris, B. D., additional, Allen, K. M., additional, Sutherland, M. D., additional, and Woodroffe, C. D., additional
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- 2020
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13. Data Descriptor: Systematic, continental scale temporal monitoring of marine pelagic microbiota by the Australian Marine Microbial Biodiversity Initiative
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Brown, MV, Van De Kamp, J, Ostrowski, M, Seymour, JR, Ingleton, T, Messer, LF, Jeffries, T, Siboni, N, Laverock, B, Bibiloni-Isaksson, J, Nelson, TM, Coman, F, Davies, CH, Frampton, D, Rayner, M, Goossen, K, Robert, S, Holmes, B, Abell, GCJ, Craw, P, Kahlke, T, Sow, SLS, McAllister, K, Windsor, J, Skuza, M, Crossing, R, Patten, N, Malthouse, P, Van Ruth, PD, Paulsen, I, Fuhrman, JA, Richardson, A, Koval, J, Bissett, A, Fitzgerald, A, Moltmann, T, and Bodrossy, L
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Bacteria ,Sequence Analysis, RNA ,Oceans and Seas ,Microbiota ,Australia ,Biodiversity ,Water Microbiology ,Archaea - Abstract
© 2018 Author(s). Sustained observations of microbial dynamics are rare, especially in southern hemisphere waters. The Australian Marine Microbial Biodiversity Initiative (AMMBI) provides methodologically standardized, continental scale, temporal phylogenetic amplicon sequencing data describing Bacteria, Archaea and microbial Eukarya assemblages. Sequence data is linked to extensive physical, biological and chemical oceanographic contextual information. Samples are collected monthly to seasonally from multiple depths at seven sites: Darwin Harbour (Northern Territory), Yongala (Queensland), North Stradbroke Island (Queensland), Port Hacking (New South Wales), Maria Island (Tasmania), Kangaroo Island (South Australia), Rottnest Island (Western Australia). These sites span ~30° of latitude and ~38° longitude, range from tropical to cold temperate zones, and are influenced by both local and globally significant oceanographic and climatic features. All sequence datasets are provided in both raw and processed fashion. Currently 952 samples are publically available for bacteria and archaea which include 88,951,761 bacterial (72,435 unique) and 70,463,079 archaeal (24,205 unique) 16 S rRNA v1-3 gene sequences, and 388 samples are available for eukaryotes which include 39,801,050 (78,463 unique) 18 S rRNA v4 gene sequences.
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- 2018
14. Australian multibeam guidelines
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Picard, K, Austine, K, Bergensen, N, Cullen, R, Dando, N, Donohue, D, Edwards, S, Ingleton, T, Jordan, A, Lucieer, V, Parnum, I, Siwabessy, J, Spinoccia, M, Talbot-Smith, R, Waterson, C, Barrett, N, Beaman, R, Bergersen, D, Boyd, M, Brace, B, Brooke, B, Cantrill, O, Case, M, Dunne, S, Felllows, M, Harris, U, Ierodicaonou, D, Johnstone, E, Kennedy, P, Leplastrier, A, Lewis, A, Lytton, S, Mackay, K, McLennan, S, Mitchell, C, Nichol, S, Post, A, Price, A, Przeslawski, R, Pugsley, L, Quadros, N, Smith, J, Stewart, W, Sullivan, J, Tran, M, Whiteway, T, and AusSeabed
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Data quality control [Data Management Practices] ,Environment [Parameter Discipline] ,multi-beam echosounders [Instrument Type Vocabulary] ,Marine geology [Parameter Discipline] ,Marine acoustics ,Data processing [Data Management Practices] ,Data acquisition [Data Management Practices] ,Metadata management [Data Management Practices] - Abstract
Australia’s Multibeam Guidelines were established by the AusSeabed consortium. The guidelines provide procedures mainly on survey planning, data acquisition and submission i.e. from the pre-survey planning phase to the data submission phase, off the ship. They are designed for a range of audiences, from those experienced in seafloor mapping using swath acoustic systems, non-experts who are developing mapping capabilities, and those contracting seafloor mapping surveys using swath systems. These guidelines aim to improve interoperability, discoverability and accessibility of swath system data, and encourage improved acquisition standards to meet more user requirements. We acknowledge that to achieve such an aim, adaptation of the project might be necessary and could impact time and cost. For example, a project needing higher quality backscatter may require tighter line spacing, while a hydrographic survey for charting will need more detailed assessment and greater sounding density than for a habitat mapping project. However, in most cases, the inconvenience of varying parameters will be outweighed by the increased relevance of the data to more users. These guidelines should be used as an overarching document, providing a minimum set of requirements for seafloor mapping activities conducted in Australian waters. These guidelines should be complemented with purpose-based requirements and associated documentation, such as hydrographic surveys, marine park monitoring, and marine infrastructure planning or installation Published Refereed Current TRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space) Manual
- Published
- 2018
15. Impact of nitrogen availability upon the electron requirement for carbon fixation in Australian coastal phytoplankton communities
- Author
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Hughes, DJ, Varkey, D, Doblin, MA, Ingleton, T, Mcinnes, A, Ralph, PJ, van Dongen-Vogels, V, Suggett, DJ, Hughes, DJ, Varkey, D, Doblin, MA, Ingleton, T, Mcinnes, A, Ralph, PJ, van Dongen-Vogels, V, and Suggett, DJ
- Abstract
© 2018 Association for the Sciences of Limnology and Oceanography Nitrogen (N) availability affects phytoplankton photosynthetic performance and regulates marine primary production (MPP) across the global coast and oceans. Bio-optical tools including Fast Repetition Rate fluorometry (FRRf) are particularly well suited to examine MPP variability in coastal regions subjected to dynamic spatio-temporal fluctuations in nutrient availability. FRRf determines photosynthesis as an electron transport rate through Photosystem II (ETRPSII), requiring knowledge of an additional parameter, the electron requirement for carbon fixation (KC), to retrieve rates of CO2-fixation. KC strongly depends upon environmental conditions regulating photosynthesis, yet the importance of N-availability to this parameter has not been examined. Here, we use nutrient bioassays to isolate how N (relative to other macronutrients P, Si) regulates KC of phytoplankton communities from the Australian coast during summer, when N-availability is often highly variable. KC consistently responded to N-amendment, exhibiting up to a threefold reduction and hence an apparent increase in the efficiency with which electrons were used to drive C-fixation. However, the process driving this consistent reduction was dependent upon initial conditions. When diatoms dominated assemblages and N was undetectable (e.g., post bloom), KC decreased predominantly via a physiological adjustment of the existing community to N-amendment. Conversely, for mixed assemblages, N-addition achieved a similar reduction in KC through a change in community structure toward diatom domination. We generate new understanding and parameterization of KC that is particularly critical to advance how FRRf can be applied to examine C-uptake throughout the global ocean where nitrogen availability is highly variable and thus frequently limits primary productivity.
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- 2018
16. A database of chlorophyll a in Australian waters
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Davies, CH, Ajani, P, Armbrecht, L, Atkins, N, Baird, ME, Beard, J, Bonham, P, Burford, M, Clementson, L, Coad, P, Crawford, C, Dela-Cruz, J, Doblin, MA, Edgar, S, Eriksen, R, Everett, JD, Furnas, M, Harrison, DP, Hassler, C, Henschke, N, Hoenner, X, Ingleton, T, Jameson, I, Keesing, J, Leterme, SC, James McLaughlin, M, Miller, M, Moffatt, D, Moss, A, Nayar, S, Patten, NL, Patten, R, Pausina, SA, Proctor, R, Raes, E, Robb, M, Rothlisberg, P, Saeck, EA, Scanes, P, Suthers, IM, Swadling, KM, Talbot, S, Thompson, P, Thomson, PG, Uribe-Palomino, J, Van Ruth, P, Waite, AM, Wright, S, Richardson, AJ, Davies, CH, Ajani, P, Armbrecht, L, Atkins, N, Baird, ME, Beard, J, Bonham, P, Burford, M, Clementson, L, Coad, P, Crawford, C, Dela-Cruz, J, Doblin, MA, Edgar, S, Eriksen, R, Everett, JD, Furnas, M, Harrison, DP, Hassler, C, Henschke, N, Hoenner, X, Ingleton, T, Jameson, I, Keesing, J, Leterme, SC, James McLaughlin, M, Miller, M, Moffatt, D, Moss, A, Nayar, S, Patten, NL, Patten, R, Pausina, SA, Proctor, R, Raes, E, Robb, M, Rothlisberg, P, Saeck, EA, Scanes, P, Suthers, IM, Swadling, KM, Talbot, S, Thompson, P, Thomson, PG, Uribe-Palomino, J, Van Ruth, P, Waite, AM, Wright, S, and Richardson, AJ
- Abstract
© The Author(s) 2018. Chlorophyll a is the most commonly used indicator of phytoplankton biomass in the marine environment. It is relatively simple and cost effective to measure when compared to phytoplankton abundance and is thus routinely included in many surveys. Here we collate 173, 333 records of chlorophyll a collected since 1965 from Australian waters gathered from researchers on regular coastal monitoring surveys and ocean voyages into a single repository. This dataset includes the chlorophyll a values as measured from samples analysed using spectrophotometry, fluorometry and high performance liquid chromatography (HPLC). The Australian Chlorophyll a database is freely available through the Australian Ocean Data Network portal (https://portal.aodn.org.au/). These data can be used in isolation as an index of phytoplankton biomass or in combination with other data to provide insight into water quality, ecosystem state, and relationships with other trophic levels such as zooplankton or fish.
- Published
- 2018
17. Corrigendum:A database of marine phytoplankton abundance, biomass and species composition in Australian waters (Scientific Data (2016) 3 (160043) DOI: 10.1038/sdata.2016.43)
- Author
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Davies, CH, Coughlan, A, Hallegraeff, G, Ajani, P, Armbrecht, L, Atkins, N, Bonham, P, Brett, S, Brinkman, R, Burford, M, Clementson, L, Coad, P, Coman, F, Davies, D, Dela-Cruz, J, Devlin, M, Edgar, S, Eriksen, R, Furnas, M, Hassler, C, Hill, D, Holmes, M, Ingleton, T, Jameson, I, Leterme, SC, Lønborg, C, McLaughlin, J, McEnnulty, F, McKinnon, AD, Miller, M, Murray, S, Nayar, S, Patten, R, Pausina, SA, Pritchard, T, Proctor, R, Purcell-Meyerink, D, Raes, E, Rissik, D, Ruszczyk, J, Slotwinski, A, Swadling, KM, Tattersall, K, Thompson, P, Thomson, P, Tonks, M, Trull, TW, Uribe-Palomino, J, Waite, AM, Yauwenas, R, Zammit, A, and Richardson, AJ
- Subjects
TheoryofComputation_COMPUTATIONBYABSTRACTDEVICES ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) - Abstract
© The Author(s) 2016. A series of errors in our database were brought to our attention by readers, and have been corrected in an updated version of this database, which is accessible via the AODN at the following link: https://portal.aodn.org.au/search?uuid =75f4f1fc-bee3-4498-ab71-aa1ab29ab2c0 The custodian details of several datasets were incorrect. These fields in the metadata table have been updated to correctly assign P744, P746, P748, and P778 to the Australian Antarctic Division, and P752 to the Royal Belgian Institute of Natural Sciences. Species names and functional group assignments have been changed for a small number of records to fix identified errors. Tripos brevis and Tripos arietinus were spelt incorrectly, and have been duly corrected. Pedinellaceae was wrongly assigned to dinoflagellate as a functional group, and has now been re-assigned to flagellate. The 'Naked flagellate' group has been renamed 'Flagellate' as there is some inconsistency in the use of the term 'Naked flagellate' and what precisely would be included. The functional group 'Other', has also been excluded as this contained data that was not necessarily phytoplankton but had been found in phytoplankton counts. The macroalgae Murrayella australica, Cladophora spp., Chlorohormidium sp., Eudorina spp., Tribonema spp., Chlorohormidium spp. were also removed. In addition to these corrections, three datasets have been extended to include more recently acquired data: P 597 IMOS Australian Continuous Plankton Recorder survey (ongoing dataset, 59089 new records as of 2016-08-31); P599 IMOS National Reference Stations (ongoing dataset, 14669 new records as of 2016-08-31); and P1068 Great Barrier Reef Expedition 1928-29 (new dataset, 1340 new records). Table 1 provides a summary of the overall change in database contents. (Table Presented). This dataset will continue to grow and will be regularly updated with new data and any further corrections to the data. Users can email imos-planktonatcsiro.au with any comments, which will be reviewed and included in future updates if applicable. The AODN portal will always direct the user to the most recent version, the original version will remain available at http://dx.doi.org/10.4225/69/ 56454b2ba2f79, and interim versions will be available on request.
- Published
- 2017
18. Corrigendum: A database of marine phytoplankton abundance, biomass and species composition in Australian waters (Scientific Data (2016) 3 (160043) DOI: 10.1038/sdata.2016.43)
- Author
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Davies, CH, Coughlan, A, Hallegraeff, G, Ajani, P, Armbrecht, L, Atkins, N, Bonham, P, Brett, S, Brinkman, R, Burford, M, Clementson, L, Coad, P, Coman, F, Davies, D, Dela-Cruz, J, Devlin, M, Edgar, S, Eriksen, R, Furnas, M, Hassler, C, Hill, D, Holmes, M, Ingleton, T, Jameson, I, Leterme, SC, Lønborg, C, McLaughlin, J, McEnnulty, F, McKinnon, AD, Miller, M, Murray, S, Nayar, S, Patten, R, Pausina, SA, Pritchard, T, Proctor, R, Purcell-Meyerink, D, Raes, E, Rissik, D, Ruszczyk, J, Slotwinski, A, Swadling, KM, Tattersall, K, Thompson, P, Thomson, P, Tonks, M, Trull, TW, Uribe-Palomino, J, Waite, AM, Yauwenas, R, Zammit, A, Richardson, AJ, Davies, CH, Coughlan, A, Hallegraeff, G, Ajani, P, Armbrecht, L, Atkins, N, Bonham, P, Brett, S, Brinkman, R, Burford, M, Clementson, L, Coad, P, Coman, F, Davies, D, Dela-Cruz, J, Devlin, M, Edgar, S, Eriksen, R, Furnas, M, Hassler, C, Hill, D, Holmes, M, Ingleton, T, Jameson, I, Leterme, SC, Lønborg, C, McLaughlin, J, McEnnulty, F, McKinnon, AD, Miller, M, Murray, S, Nayar, S, Patten, R, Pausina, SA, Pritchard, T, Proctor, R, Purcell-Meyerink, D, Raes, E, Rissik, D, Ruszczyk, J, Slotwinski, A, Swadling, KM, Tattersall, K, Thompson, P, Thomson, P, Tonks, M, Trull, TW, Uribe-Palomino, J, Waite, AM, Yauwenas, R, Zammit, A, and Richardson, AJ
- Abstract
© 2017 The Author(s). The authors regret that Sarah A. Pausina was omitted in error from the author list of the original version of this Data Descriptor. This omission has now been corrected in the HTML and PDF versions of this Data Descriptor, as well as the accompanying Corrigendum.
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- 2017
19. The ocean sampling day consortium
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Kopf, A, Bicak, M, Kottmann, R, Schnetzer, J, Kostadinov, I, Lehmann, K, Fernandez-Guerra, A, Jeanthon, C, Rahav, E, Ullrich, M, Wichels, A, Gerdts, G, Polymenakou, P, Kotoulas, G, Siam, R, Abdallah, RZ, Sonnenschein, EC, Cariou, T, O'Gara, F, Jackson, S, Orlic, S, Steinke, M, Busch, J, Duarte, B, Caçador, I, Canning-Clode, J, Bobrova, O, Marteinsson, V, Reynisson, E, Loureiro, CM, Luna, GM, Quero, GM, Löscher, CR, Kremp, A, DeLorenzo, ME, Øvreås, L, Tolman, J, LaRoche, J, Penna, A, Frischer, M, Davis, T, Katherine, B, Meyer, CP, Ramos, S, Magalhães, C, Jude-Lemeilleur, F, Aguirre-Macedo, ML, Wang, S, Poulton, N, Jones, S, Collin, R, Fuhrman, JA, Conan, P, Alonso, C, Stambler, N, Goodwin, K, Yakimov, MM, Baltar, F, Bodrossy, L, Van De Kamp, J, Frampton, DMF, Ostrowski, M, Van Ruth, P, Malthouse, P, Claus, S, Deneudt, K, Mortelmans, J, Pitois, S, Wallom, D, Salter, I, Costa, R, Schroeder, DC, Kandil, MM, Amaral, V, Biancalana, F, Santana, R, Pedrotti, ML, Yoshida, T, Ogata, H, Ingleton, T, Munnik, K, Rodriguez-Ezpeleta, N, Berteaux-Lecellier, V, Wecker, P, Cancio, I, Vaulot, D, Bienhold, C, Ghazal, H, Chaouni, B, Essayeh, S, Ettamimi, S, Zaid, EH, Boukhatem, N, Bouali, A, Chahboune, R, Barrijal, S, Timinouni, M, El Otmani, F, Bennani, M, and Mea, M
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Microorganism ,Standards ,Bacteria ,Marine ,Oceans and Seas ,Marine Biology ,Biodiversity ,Genomics ,Health Index ,OSD ,Micro B3 ,Database Management Systems ,Ocean sampling day ,Metagenomics ,Life Below Water - Abstract
© 2015 Kopf et al. Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world's oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits.
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- 2015
20. The ocean sampling day consortium
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Kopf, A., Bicak, M., Kottmann, R., Schnetzer, J., Kostadinov, I., Lehmann, K., Fernàndez-Guerra, A., Jeanthon, C., Rahav, E., Ullrich, M., Wichels, A., Gerdts, G., Polymenakou, P., Kotoulas, G., Siam, R., Abdallah, R.Z., Sonnenschein, E., Cariou, T., O'Gara, F., Jackson, S., Orlic, S., Steinke, M., Busch, J., Duarte, B., Caçador, I., Canning-Clode, J., Marteinsson, V., Reynisson, E., Loureiro, C.M., Luna, G.M., Quero, G.M., Löscher, C.R., Kremp, A., DeLorenzo, M.E., Øvreås, L., Tolman, J., LaRoche, J., Penna, A., Frischer, M., Davis, T., Barker, K., Meyer, C.P., Ramos, S., Magalhães, C., Jude-Lemeilleur, F., Aguirre-Macedo, M.L., Wang, S., Poulton, N., Jones, S., Collin, R., Fuhrman, J.A., Conan, P., Alonso, C., Stambler, N., Goodwin, K., Yakimov, M.M., Baltar, F., Bodrossy, L., Van de Kamp, J., Frampton, D.M.F., Ostrowski, M., Van Ruth, P., Malthouse, P., Claus, S., Deneudt, K., Mortelmans, J., Pitois, S., Wallom, D., Salter, I., Costa, R., Schroeder, D.C., Kandil, M.M., Amaral, V., Biancalana, F., Santana, R., Pedrotti, M.L., Yoshida, T., Ogata, H., Ingleton, T., Munnik, K., Rodriguez-Ezpeleta, N., Berteaux-Lecellier, V., Wecker, P., Cancio, I., Vaulot, D., Bienhold, C., Ghazal, H., Chaouni, B., Essayer, S., Ettamimi, S., Zaid, E.H., Boukhatem, N., Bouali, A., Chahboune, R., Barrijal, S., Timinouni, M., El Otmani, F., Bennani, M., Mea, M., Todorova, N., Karamfilov, V., ten Hoopen, P., Cochrane, G., L'Haridon, S., Bizsel, K.C., Vezzi, A., Lauro, F.M., Martin, P., Jensen, R.M., Hinks, J., Gebbels, S., Rosselli, R., De Pascale, F., Schiavon, R., dos Santos, A., Villar, E., Pesant, S., Cataletto, B., Malfatti, F., Edirisinghe, R., Herrera Silveira, J.A., Barbier, M., Turk, V., Tinta, T., Fuller, W.J., Salihoglu, I., Serakinci, N., Ergoren, M.C., Bresnan, E., Iriberri, J., Nyhus, P.A.F., Bente, E., Karlsen, H.E., Golyshin, P.N., Gasol, J.M., Moncheva, S., Dzhembekova, N., Johnson, Z., Sinigalliano, C.D., Gidley, M.L., Zingone, A., Danovaro, R., Tsiamis, G., Clark, M.S., Costa, A.C., El Bour, M., Martins, A.M., Collins, R.E., Ducluzeau, A.-L., Martinez, J., Costello, M.J., Amaral-Zettler, L.A., Gilbert, J.A., Davies, N., Field, D., and Glóckner, F.O.
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Standards ,Bacteria ,Marine ,Biodiversity - Abstract
Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits.
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- 2015
21. Establishing Baselines: Eighty Years of Phytoplankton Diversity and Biomass in South- Eastern Australia
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Ajani, P, Hallegraeff, G, Allen, D, Coughlan, A, Richardson, A, Armand, L, Ingleton, T, Murray, S, Ajani, P, Hallegraeff, G, Allen, D, Coughlan, A, Richardson, A, Armand, L, Ingleton, T, and Murray, S
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Establishing trends in phytoplankton diversity and biomass, particularly in relation to climate change, is challenging and requires reference to baseline observations. Detecting changes over seasonal, interannual, and interdecadal timescales requires the collection of long-term datasets. Australian marine ecosystems and their constituent phytoplankton have been studied only in the last approximately 100 years, focused on the south-eastern coast of Australia, as this is the site of the major population centres. The coastline of south-eastern Australia is dominated by the dynamic East Australian Current, as well as a diverse range of estuaries, each with its own distinct riverine inputs, tidal cycles, and ushing times. Warming of the East Australian Current over the past century at two to three times the global average, combined with increased nutrient loads and encroaching coastal urbanization, is likely to have had an impact on the coastal environment, ecosystems, and supported phytoplankton communities. Even though sporadic research has been undertaken into the diversity, distribution, and ecology of marine and estuarine phytoplankton over the past 80 years, the rst long-term time-series investigations have only recently been completed. In this review, we conducted a meta-analysis of 90 phytoplankton studies from 1933 to 2015 and examined the major themes covered and methodologies used. We examined ve datasets spanning the past 50 years from the long-term coastal station off shore from Port Hacking, Sydney. Whilst species composition and distribution appear to have changed over time, our knowledge of their systematics and identication has also expanded. Sixty-three species, 5 genera, and about 19 potentially harmful species have been described from south-eastern Australian waters over the past 30 years, and many represent rst-time Australian records. The emerging use of next-generation sequencing and quantitative molecular methods for phytoplankton identication and
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- 2016
22. A database of marine phytoplankton abundance, biomass and species composition in Australian waters
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Davies, CH, Coughlan, A, Hallegraeff, G, Ajani, P, Armbrecht, L, Atkins, N, Bonham, P, Brett, S, Brinkman, R, Burford, M, Clementson, L, Coad, P, Coman, F, Davies, D, Dela-Cruz, J, Devlin, M, Edgar, S, Eriksen, R, Furnas, M, Hassler, C, Hill, D, Holmes, M, Ingleton, T, Jameson, I, Leterme, SC, Lønborg, C, McLaughlin, J, McEnnulty, F, McKinnon, AD, Miller, M, Murray, S, Nayar, S, Patten, R, Pritchard, T, Proctor, R, Purcell-Meyerink, D, Raes, E, Rissik, D, Ruszczyk, J, Slotwinski, A, Swadling, KM, Tattersall, K, Thompson, P, Thomson, P, Tonks, M, Trull, TW, Uribe-Palomino, J, Waite, AM, Yauwenas, R, Zammit, A, Richardson, AJ, Davies, CH, Coughlan, A, Hallegraeff, G, Ajani, P, Armbrecht, L, Atkins, N, Bonham, P, Brett, S, Brinkman, R, Burford, M, Clementson, L, Coad, P, Coman, F, Davies, D, Dela-Cruz, J, Devlin, M, Edgar, S, Eriksen, R, Furnas, M, Hassler, C, Hill, D, Holmes, M, Ingleton, T, Jameson, I, Leterme, SC, Lønborg, C, McLaughlin, J, McEnnulty, F, McKinnon, AD, Miller, M, Murray, S, Nayar, S, Patten, R, Pritchard, T, Proctor, R, Purcell-Meyerink, D, Raes, E, Rissik, D, Ruszczyk, J, Slotwinski, A, Swadling, KM, Tattersall, K, Thompson, P, Thomson, P, Tonks, M, Trull, TW, Uribe-Palomino, J, Waite, AM, Yauwenas, R, Zammit, A, and Richardson, AJ
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There have been many individual phytoplankton datasets collected across Australia since the mid 1900s, but most are unavailable to the research community. We have searched archives, contacted researchers, and scanned the primary and grey literature to collate 3,621,847 records of marine phytoplankton species from Australian waters from 1844 to the present. Many of these are small datasets collected for local questions, but combined they provide over 170 years of data on phytoplankton communities in Australian waters. Units and taxonomy have been standardised, obviously erroneous data removed, and all metadata included. We have lodged this dataset with the Australian Ocean Data Network (http://portal.aodn.org.au/) allowing public access. The Australian Phytoplankton Database will be invaluable for global change studies, as it allows analysis of ecological indicators of climate change and eutrophication (e.g., changes in distribution; diatom:dinoflagellate ratios). In addition, the standardised conversion of abundance records to biomass provides modellers with quantifiable data to initialise and validate ecosystem models of lower marine trophic levels.
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- 2016
23. Spatial and temporal variability of aerobic anoxygenic photoheterotrophic bacteria along the east coast of Australia
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Bibiloni-Isaksson, J, Seymour, JR, Ingleton, T, van de Kamp, J, Bodrossy, L, Brown, MV, Bibiloni-Isaksson, J, Seymour, JR, Ingleton, T, van de Kamp, J, Bodrossy, L, and Brown, MV
- Abstract
© 2016 Society for Applied Microbiology and John Wiley & Sons Ltd Aerobic Anoxygenic Phototrophic Bacteria (AAnPB) are ecologically important microorganisms, widespread in oceanic photic zones. However, the key environmental drivers underpinning AAnPB abundance and diversity are still largely undefined. The temporal patterns in AAnPB dynamics at three oceanographic reference stations spanning at approximately 15° latitude along the Australian east coast were examined. AAnPB abundance was highly variable, with pufM gene copies ranging from 1.1 × 102 to 1.4 × 105 ml−1 and positively correlated with day length and solar radiation. pufM gene Miseq sequencing revealed that the majority of sequences were closely related to those obtained previously, suggesting that key AAnPB groups are widely distributed across similar environments globally. Temperature was a major structuring factor for AAnPB assemblages across large spatial scales, correlating positively with richness and Gammaproteobacteria (phylogroup K) abundance but negatively with Roseobacter-clade (phylogroup E) abundance, with temperatures between 16°C and 18°C identified as a potential transition zone between these groups. Network analysis revealed that discrete AAnPB populations exploit specific niches defined by varying temperature, light and nutrient conditions in the Tasman Sea system, with evidence for both niche sharing and partitioning amongst closely related operational taxonomic units.
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- 2016
24. ESTABLISHING BASELINES: EIGHTY YEARS OF PHYTOPLANKTON DIVERSITY AND BIOMASS IN SOUTH-EASTERN AUSTRALIA
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Hughes, RN, Hughes, DJ, Smith, IP, Dale, AC, Ajani, PA, Hallegraeff, GM, Allen, D, Coughlan, A, Richardson, AJ, Armand, LK, Ingleton, T, Murray, SA, Hughes, RN, Hughes, DJ, Smith, IP, Dale, AC, Ajani, PA, Hallegraeff, GM, Allen, D, Coughlan, A, Richardson, AJ, Armand, LK, Ingleton, T, and Murray, SA
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- 2016
25. Corrigendum: A database of marine phytoplankton abundance, biomass and species composition in Australian waters (Scientific Data (2016) 3 (160043) DOI: 10.1038/sdata201643))
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Davies, CH, Coughlan, A, Hallegraeff, G, Ajani, P, Armbrecht, L, Atkins, N, Bonham, P, Brett, S, Brinkman, R, Burford, M, Clementson, L, Coad, P, Coman, F, Davies, D, Dela-Cruz, J, Devlin, M, Edgar, S, Eriksen, R, Furnas, M, Hassler, C, Hill, D, Holmes, M, Ingleton, T, Jameson, I, Leterme, SC, Lønborg, C, McLaughlin, J, McEnnulty, F, McKinnon, AD, Miller, M, Murray, S, Nayar, S, Patten, R, Pausina, SA, Pritchard, T, Proctor, R, Purcell-Meyerink, D, Raes, E, Rissik, D, Ruszczyk, J, Slotwinski, A, Swadling, KM, Tattersall, K, Thompson, P, Thomson, P, Tonks, M, Trull, TW, Uribe-Palomino, J, Waite, AM, Yauwenas, R, Zammit, A, Richardson, AJ, Davies, CH, Coughlan, A, Hallegraeff, G, Ajani, P, Armbrecht, L, Atkins, N, Bonham, P, Brett, S, Brinkman, R, Burford, M, Clementson, L, Coad, P, Coman, F, Davies, D, Dela-Cruz, J, Devlin, M, Edgar, S, Eriksen, R, Furnas, M, Hassler, C, Hill, D, Holmes, M, Ingleton, T, Jameson, I, Leterme, SC, Lønborg, C, McLaughlin, J, McEnnulty, F, McKinnon, AD, Miller, M, Murray, S, Nayar, S, Patten, R, Pausina, SA, Pritchard, T, Proctor, R, Purcell-Meyerink, D, Raes, E, Rissik, D, Ruszczyk, J, Slotwinski, A, Swadling, KM, Tattersall, K, Thompson, P, Thomson, P, Tonks, M, Trull, TW, Uribe-Palomino, J, Waite, AM, Yauwenas, R, Zammit, A, and Richardson, AJ
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© The Author(s) 2016. A series of errors in our database were brought to our attention by readers, and have been corrected in an updated version of this database, which is accessible via the AODN at the following link: https://portal.aodn.org.au/search?uuid =75f4f1fc-bee3-4498-ab71-aa1ab29ab2c0 The custodian details of several datasets were incorrect. These fields in the metadata table have been updated to correctly assign P744, P746, P748, and P778 to the Australian Antarctic Division, and P752 to the Royal Belgian Institute of Natural Sciences. Species names and functional group assignments have been changed for a small number of records to fix identified errors. Tripos brevis and Tripos arietinus were spelt incorrectly, and have been duly corrected. Pedinellaceae was wrongly assigned to dinoflagellate as a functional group, and has now been re-assigned to flagellate. The 'Naked flagellate' group has been renamed 'Flagellate' as there is some inconsistency in the use of the term 'Naked flagellate' and what precisely would be included. The functional group 'Other', has also been excluded as this contained data that was not necessarily phytoplankton but had been found in phytoplankton counts. The macroalgae Murrayella australica, Cladophora spp., Chlorohormidium sp., Eudorina spp., Tribonema spp., Chlorohormidium spp. were also removed. In addition to these corrections, three datasets have been extended to include more recently acquired data: P 597 IMOS Australian Continuous Plankton Recorder survey (ongoing dataset, 59089 new records as of 2016-08-31); P599 IMOS National Reference Stations (ongoing dataset, 14669 new records as of 2016-08-31); and P1068 Great Barrier Reef Expedition 1928-29 (new dataset, 1340 new records). Table 1 provides a summary of the overall change in database contents. (Table Presented). This dataset will continue to grow and will be regularly updated with new data and any further corrections to the data. Users can email imos-planktonatcsiro
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- 2016
26. Sediment variability affects fish community structure in unconsolidated habitats of a subtropical marine park
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Schultz, AL, primary, Malcolm, HA, additional, Linklater, M, additional, Jordan, AR, additional, Ingleton, T, additional, and Smith, SDA, additional
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- 2015
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27. Erratum: A decadal decline in relative abundance and a shift in microphytoplankton composition at a long-term coastal station off southeast Australia
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Ajani, PA, Allen, AP, Ingleton, T, Armand, L, Ajani, PA, Allen, AP, Ingleton, T, and Armand, L
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- 2014
28. Paleoecological responses to avulsion and floodplain evolution in a semiarid Australian freshwater wetland
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Ralph, Timothy, Kobayashi, T., Garcia, Adriana, Hesse, P. P., Yonge, D., Bleakley, N., T Ingleton, T., Ralph, Timothy, Kobayashi, T., Garcia, Adriana, Hesse, P. P., Yonge, D., Bleakley, N., and T Ingleton, T.
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- 2011
29. Microalgal blooms in the coastal waters of New South Wales, Australia
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Ajani, P, Ingleton, T, Pritchard, T, Armand, L, Ajani, P, Ingleton, T, Pritchard, T, and Armand, L
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We investigated the frequency and causative taxa of observed microalgal blooms in New South Wales (NSW) coastal waters from 2000 to 2009 and compared these to an earlier bloom inventory from 1990 to 1999. The majority of recurrent blooms are harmless water discolourations caused by Noctiluca scintillans and Trichodesmium erythraeum. The recent reporting period witnessed the first blooms of Astrionellopsis glacialis, Guinardia sp., Skeletonema sp., cf. Heterocapsa sp., Dinophysis caudata, Prorocentrum dentatum, Prorocentrum rhathymum, Fibrocapsa japonica, Gymnodinium catenatum, Oscillaroria sp., and Anabaena circinalis. The frequency of blooms appears to have increased over time with a shift in maximum bloom activity from January (1990 to 1999) to October (2000 to 2009). Peak bloom years correspond with El Niño episodes, the most significant being 1997 to 1998 and 2002 to 2003. No significant difference was found between the causative species or spatial distribution of dominant taxa over two decades. Differences were observed in bloom type in estuaries with more 'potentially harmful to marine organisms' blooms during 1990 to 1999 and more 'harmless' blooms during 2000 to 2009. More 'unidentified' blooms were reported during 2000 to 2009 compared to 1990 to 1999, for both marine and estuarine waters. We emphasize that although algal bloom reports are ad hoc in their nature, they can contribute valuable baseline information, which may suggest causative relationships for evaluating trends in phytoplankton ecology.
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- 2011
30. Long-term changes in temperate Australian coastal waters: Implications for phytoplankton
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Thompson, PA, Baird, ME, Ingleton, T, Doblin, MA, Thompson, PA, Baird, ME, Ingleton, T, and Doblin, MA
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A ∼60 yr physical and chemical data set from 4 coastal stations around Australia plus remotely sensed SeaWiFS and phytoplankton taxonomic data were used to evaluate the temporal and spatial variation in phytoplankton ecology. The most consistent trend observed at all stations was a long-term increase in surface salinity of ∼0.003 ± 0.0008 psu yr-1. All stations showed positive trends in temperature, with the fastest surface warming (0.0202°C yr-1 over 60 yr) in the western Tasman Sea. Long-term trends in warming and stratification were more evident in some months and were not well characterized by annual averages. There was no general pattern of increasing stratification (0 to 50 m); only some stations and a few months showed significant changes. Long-term trends in surface nitrate and phosphate concentrations were either not significant (3 instances) or positive (5 instances) and were up to 6.1 nM phosphate yr-1. A pronounced decline in silicate was evident at the 3 east coast stations, with concentrations falling by as much as 58 nM yr-1 over the last ∼30 yr. The western Tasman Sea experienced a ∼50% decline in the growth rate and biomass of the spring bloom from 1997 to 2007, while other sites showed significant temporal variability in chlorophyll a that was associated with the Southern Oscillation Index (SOI). Diatoms tended to dominate the microplankton, especially during periods of low stratification. In conclusion, the physical, chemical and biological properties of Australian temperate waters have changed considerably over the last 60 yr in response to variation in the SOI and the strengthening East Australian Current. © Inter-Research 2009.
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- 2009
31. Investigations of the temporal variation of cyanobacterial and other phytoplanktonic cells at the offtake of a large reservoir, and their survival following passage through it
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Ingleton, T, Kobayashi, T, Sanderson, B, Patra, R, Macinnis-Ng, CMO, Hindmarsh, B, Bowling, LC, Ingleton, T, Kobayashi, T, Sanderson, B, Patra, R, Macinnis-Ng, CMO, Hindmarsh, B, and Bowling, LC
- Abstract
The survival and subsequent growth potential of Anabaena spp. and other filamentous cyanobacteria and the cells of Aulacoseira spp. (diatom) and Ceratium hirundinella (dinoflagellate) following passage through the Multi Level Inlet Tower (MLIT) and offtake works at Chaffey Reservoir in New South Wales, Australia was investigated in late summer. The study aimed to test whether the phytoplankton cells were destroyed or otherwise rendered less viable during passage through the outlet works. The reservoir was strongly thermally stratified with a shallow surface mixed layer, which contributed to considerable temporal variability in the numbers of phytoplankton cells present immediately opposite the intake portal of the outlet works. To compensate, considerable replicate sampling was undertaken both upstream and downstream of the MLIT. Results indicate limited destruction of cyanobacteria, with fewer cells present immediately downstream compared to upstream. Greater destruction of cells was indicated at lower mean daily discharge rates compared to higher discharge rates. Filament lengths of both cyanobacteria and Aulacoseira were also reduced during passage. There was no apparent reduction in Ceratium cell number. Laboratory incubation studies on surviving cells collected downstream indicated no impairment on the viability of any taxa. Calculations of rates-of-strain likely to be experienced by the phytoplankton as they transited through the offtake revealed very high stress being applied to the filaments and cells at the valve, and within the spillway sections of the works. These were several orders of magnitude greater than published values shown to disrupt cells and filaments, and to impair viability for subsequent growth in laboratory studies. However, exposure times to the high rates-of-strain at Chaffey Reservoir were brief, which may reduce the impacts of the high turbulence. The conclusions were that unless cyanobacterial cell destruction during passage through an
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- 2008
32. Paleoecological responses to avulsion and floodplain evolution in a semiarid Australian freshwater wetland
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Ralph, T. J., primary, Kobayashi, T., additional, García, A., additional, Hesse, P. P., additional, Yonge, D., additional, Bleakley, N., additional, and Ingleton, T., additional
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- 2011
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33. NSW ocean outfalls: using near field models to investigate hydrodynamic performance
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Ingleton, T C, primary and Large, D G B, additional
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- 2004
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34. Developments in mapping of seabed habitats for Marine Protected Area planning and monitoring.
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Jordan, A., Davies, P., Ingleton, T., Mesley, E., Neilson, J., and Pritchard, T.
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- 2010
- Full Text
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35. Microbial tropicalization driven by a strengthening western ocean boundary current
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Messer, LF, Ostrowski, M, Doblin, MA, Petrou, K, Baird, ME, Ingleton, T, Bissett, A, Van de Kamp, J, Nelson, T, Paulsen, I, Bodrossy, L, Fuhrman, JA, Seymour, JR, Brown, MV, Messer, LF, Ostrowski, M, Doblin, MA, Petrou, K, Baird, ME, Ingleton, T, Bissett, A, Van de Kamp, J, Nelson, T, Paulsen, I, Bodrossy, L, Fuhrman, JA, Seymour, JR, and Brown, MV
36. Microbial tropicalization driven by a strengthening western ocean boundary current
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Messer, LF, Ostrowski, M, Doblin, MA, Petrou, K, Baird, ME, Ingleton, T, Bissett, A, Van de Kamp, J, Nelson, T, Paulsen, I, Bodrossy, L, Fuhrman, JA, Seymour, JR, Brown, MV, Messer, LF, Ostrowski, M, Doblin, MA, Petrou, K, Baird, ME, Ingleton, T, Bissett, A, Van de Kamp, J, Nelson, T, Paulsen, I, Bodrossy, L, Fuhrman, JA, Seymour, JR, and Brown, MV
37. Economic boost from 19th century icon
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Ingleton, Tim
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- 2011
38. The Ocean Sampling Day Consortium
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Oleksandra Bobrova, Petra ten Hoopen, Rodrigo Costa, Rania Siam, Rehab Z. Abdallah, Jorge A. Herrera Silveira, Catarina Magalhães, Nedime Serakinci, Marie E. DeLorenzo, Riccardo Rosselli, Paul Malthouse, Lise Øvreås, Eyjólfur Reynisson, Susan Gebbels, Francesca Malfatti, Frank Oliver Glöckner, Federico M. Lauro, Hans Erik Karlsen, David Wallom, Christian Jeanthon, Mark J. Costello, Fergal O'Gara, Nadezhda Todorova, Ana C. Costa, Monia El Bour, Paul D. van Ruth, Ivaylo Kostadinov, Martin Ostrowski, Jed A. Fuhrman, Viggo Marteinsson, Thierry Cariou, Hiroyuki Ogata, Maria Luiza Pedrotti, Emilie Villar, Federico Baltar, Sandi Orlić, Valentina Turk, Katja Lehmann, Dawn Field, Renzo Kottmann, Florence Jude-Lemeilleur, Daniel Vaulot, Alessandro Vezzi, Neil M Davies, Mahrous M. Kandil, Véronique Berteaux-Lecellier, Christopher D. Sinigalliano, Timothy W. Davis, Peter N. Golyshin, Stéphane L'Haridon, Jonathan A. Martinez, Sandra Ramos, Pascal Conan, Ma. Leopoldina Aguirre-Macedo, Antonio Fernandez-Guerra, Soumya Essayeh, Clara Loureiro, Edvardsen Bente, Noureddine Boukhatem, Rachelle M. Jensen, Sophie Pitois, Bouchra Chaouni, Kate Munnik, Anke Kremp, Stephane Pesant, Roberto Danovaro, Cecilia Alonso, Said Barrijal, Jodie van de Kamp, Michail M. Yakimov, Nicole J. Poulton, Zackary I. Johnson, Adriana Zingone, Bernardo Duarte, Ilkay Salihoglu, Paraskevi N. Polymenakou, Jack A. Gilbert, Melody S. Clark, Ian Salter, Hassan Ghazal, Julie LaRoche, J. Mortelmans, Ranjith Edirisinghe, Grazia Marina Quero, Dion Matthew Frederick Frampton, Isabel Caçador, Georgios Tsiamis, Declan C. Schroeder, Jamie Hinks, Ana Martins, Noga Stambler, Rachel Collin, João Canning-Clode, Tinkara Tinta, Mesude Bicak, Scott Jones, Valentina Amaral, Matthias S. Ullrich, Gunnar Gerdts, Klaas Deneudt, Michael Steinke, Mohamed Bennani, Rafael Santana, Fabio De Pascale, Jennifer Tolman, Juan Iriberri, Levente Bodrossy, Abderrahim Bouali, Antonella Penna, Bruno Cataletto, Josep M. Gasol, Florencia Biancalana, Maribeth L. Gidley, Stephen A. Jackson, Mahmut Cerkez Ergoren, Carolin R. Löscher, Antje Wichels, Ventzislav Karamfilov, R. Eric Collins, Sara Ettamimi, Riccardo Schiavon, Mohammed Timinouni, Christina Bienhold, Julia Schnetzer, Marc E. Frischer, Wayne J. Fuller, Simon Claus, Ibon Cancio, Guy Cochrane, Patrick Martin, Gian Marco Luna, Snejana Moncheva, Linda A. Amaral-Zettler, Eva C. Sonnenschein, Paul Anders Fronth Nyhus, Shiao Y. Wang, Antonina Dos Santos, Eyal Rahav, Eileen Bresnan, Anna Kopf, Barker Katherine, Michèle Barbier, Naiara Rodríguez-Ezpeleta, Kemal Can Bizsel, Tim Ingleton, Patricia Wecker, Julia A. Busch, Kelly D. Goodwin, El Houcine Zaid, Rajaa Chahboune, Takashi Yoshida, Fatima El Otmani, Marianna Mea, Nina Dzhembekova, Anne-Lise Ducluzeau, Christopher P. Meyer, Georgios Kotoulas, Max Planck Institute for Marine Microbiology, Max-Planck-Gesellschaft, Jacobs University [Bremen], University of Oxford, Centre for Ecology & Hydrology, Oxfordshire UK, Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Israel Oceanographic and Limnological Research (IOLR), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Hellenic Centre for Marine Research (HCMR), American University in Cairo, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), University College Cork (UCC), Curtin University [Perth], Planning and Transport Research Centre (PATREC), Institut Ruder Boskovic, Institut Ruđer Bošković (IRB), University of Essex, Carl Von Ossietzky Universität Oldenburg = Carl von Ossietzky University of Oldenburg (OFFIS), Universidade de Lisboa = University of Lisbon (ULISBOA), Smithonian Environmental Research Center, Research Center, Odessa National I.I.Mechnikov University, Matis Ltd, Universidade dos Açores, Istituto di Science Marine (ISMAR ), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Finnish Environment Institute (SYKE), National Oceanic and Atmospheric Administration (NOAA), University of Bergen (UiB), Dalhousie University [Halifax], Università di Urbino, Skidaway Institute of Oceanography, Smithsonian Institution, Interdisciplinary Centre of Marine and Environmental Research [Matosinhos, Portugal] (CIIMAR), Universidade do Porto = University of Porto, Environnements et Paléoenvironnements OCéaniques (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV), Mississippi State University [Mississippi], Bigelow Laboratory for Ocean Sciences, Smithsonian Marine Station, Smithsonian Tropical Research Institute, University of Southern California (USC), Laboratoire d'Océanographie Microbienne (LOMIC), Observatoire océanologique de Banyuls (OOB), Universidad de la República [Montevideo] (UDELAR), Bar-Ilan University [Israël], The Interuniversity Institute for marine Science in Eilat, IAMC-CNR, Istituto per l'Ambiente Marino Costiero &ndash, University of Otago [Dunedin, Nouvelle-Zélande], Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Macquarie University, South Australian Research and Development Institute (SARDI), South Australian Research and Development Institute, Flanders Marine Institute, VLIZ, Centre for Environment, Fisheries and Aquaculture Science [Weymouth] (CEFAS), University of Algarve [Portugal], Marine Biological Association of the UK, Department of Chemistry, Alexandria University [Alexandrie], Argentine Institute of Oceanography, Laboratoire d'océanographie de Villefranche (LOV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Kyoto University, University of Tasmania [Hobart, Australia] (UTAS), Waters, wetlands & coasts Sydney, Lwande technologies Cape Town, AZTI (AZTI), AZTI, Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Université Mohammed Premier [Oujda], Université Mohammed V de Rabat [Agdal] (UM5), Université Sidi Mohamed Ben Abdellah (USMBA), Université Abdelmalek Essaâdi (UAE), Institut Pasteur du Maroc, Réseau International des Instituts Pasteur (RIIP), Faculty of Sciences, Rabat, Morocco., Bulgarian Academy of Sciences (BAS), European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Université de Brest (UBO), Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir] (DEÜ), Università degli Studi di Padova = University of Padua (Unipd), Singapore centre for environmental life sciences engineering, Nanyang Technological University [Singapour], Indigo V Expeditions, Newcastle University [Newcastle], Instituto Português de Investigação do Mar e da Atmosfera (IPMA), Information génomique et structurale (IGS), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Universität Bremen, Istituto Nazionale di Geofisica e di Oceanografia Sperimentale (OGS), Rajarata University of Sri-Lanka (RUSL), University of Southern Mississippi (USM), Mediterranean Science Commission, National institute of biology Fornace, Near East University, Marine Scotland Marine Laboratory, Kind of Blue Project ABS, University of Oslo (UiO), Marine biology research station, Bangor University, Institute of Marine Sciences / Institut de Ciències del Mar [Barcelona] (ICM), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Fridtjof Nansen Institute of oceanology, Duke University [Durham], Miami University, Miami University [Ohio] (MU), Stazione Zoologica Anton Dohrn (SZN), Polytechnic University of Marche, University of Patras, British Antarctic Survey (BAS), Natural Environment Research Council (NERC), INSTIM, University of Alaska [Fairbanks] (UAF), University of Hawaii, University of Auckland [Auckland], Marine Biological Laboratory (MBL), University of Chicago, Brown University, Zhejiang University, Argonne National Laboratory [Lemont] (ANL), Department of Mathematics [Berkeley], University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Repositório da Universidade de Lisboa, Kopf, A, Bicak, M, Kottmann, R, Schnetzer, J, Kostadinov, I, Lehmann, K, Fernandez-Guerra, A, Jeanthon, C, Rahav, E, Ullrich, M, Wichels, A, Gerdts, G, Polymenakou, P, Kotoulas, G, Siam, R, Abdallah, Rz, Sonnenschein, Ec, Cariou, T, O'Gara, F, Jackson, S, Orlic, S, Steinke, M, Busch, J, Duarte, B, Cacador, I, Canning-Clode, J, Bobrova, O, Marteinsson, V, Reynisson, E, Loureiro, Cm, Luna, Gm, Quero, Gm, Loscher, Cr, Kremp, A, Delorenzo, Me, Ovreas, L, Tolman, J, Laroche, J, Penna, A, Frischer, M, Davis, T, Katherine, B, Meyer, Cp, Ramos, S, Magalhaes, C, Jude-Lemeilleur, F, Aguirre-Macedo, Ml, Wang, S, Poulton, N, Jones, S, Collin, R, Fuhrman, Ja, Conan, P, Alonso, C, Stambler, N, Goodwin, K, Yakimov, Mm, Baltar, F, Bodrossy, L, Van De Kamp, J, Frampton, Dmf, Ostrowski, M, Van Ruth, P, Malthouse, P, Claus, S, Deneudt, K, Mortelmans, J, Pitois, S, Wallom, D, Salter, I, Costa, R, Schroeder, Dc, Kandil, Mm, Amaral, V, Biancalana, F, Santana, R, Pedrotti, Ml, Yoshida, T, Ogata, H, Ingleton, T, Munnik, K, Rodriguez-Ezpeleta, N, Berteaux-Lecellier, V, Wecker, P, Cancio, I, Vaulot, D, Bienhold, C, Ghazal, H, Chaouni, B, Essayeh, S, Ettamimi, S, Zaid, E, Boukhatem, N, Bouali, A, Chahboune, R, Barrijal, S, Timinouni, M, El Otmani, F, Bennani, M, Mea, M, Todorova, N, Karamfilov, V, ten Hoopen, P, Cochrane, G, L'Haridon, S, Bizsel, Kc, Vezzi, A, Lauro, Fm, Martin, P, Jensen, Rm, Hinks, J, Gebbels, S, Rosselli, R, De Pascale, F, Schiavon, R, dos Santos, A, Villar, E, Pesant, S, Cataletto, B, Malfatti, F, Edirisinghe, R, Silveira, Jah, Barbier, M, Turk, V, Tinta, T, Fuller, Wj, Salihoglu, I, Serakinci, N, Ergoren, Mc, Bresnan, E, Iriberri, J, Nyhus, Paf, Bente, E, Karlsen, He, Golyshin, Pn, Gasol, Jm, Moncheva, S, Dzhembekova, N, Johnson, Z, Sinigalliano, Cd, Gidley, Ml, Zingone, A, Danovaro, R, Tsiamis, G, Clark, M, Costa, Ac, El Bour, M, Martins, Am, Collins, Re, Ducluzeau, Al, Martinez, J, Costello, Mj, Amaral-Zettler, La, Gilbert, Ja, Davies, N, Field, D, Glockner, Fo, European Commission, University of Oxford [Oxford], Israel Oceanographic and Limnological Research - IOLR (ISRAEL), Danmarks Tekniske Universitet (DTU), Carl Von Ossietzky Universität Oldenburg, Universidade de Lisboa (ULISBOA), Consiglio Nazionale delle Ricerche (CNR), Universidade do Porto, UMR 5805 Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Universidad de la República [Montevideo] (UCUR), Kyoto University [Kyoto], Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE), University of Mohammed V, Sidi Mohammed Ben Abdellah University, Universita degli Studi di Padova, Rajarata University of Sri-Lanka, University of Patras [Patras], University of California [Berkeley], and University of California-University of California
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0106 biological sciences ,Biodiversity ,Marine life ,01 natural sciences ,Bacteria ,Genomics ,Health Index ,Marine ,Metagenomics ,Micro B3 ,Microorganism ,OSD ,Ocean sampling day ,Standards ,11. Sustainability ,Data and Information ,Ocean Sampling Day ,biodiversity ,genomics ,health index ,bacteria ,microorganism ,metagenomics ,marine ,standards ,[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere ,0303 health sciences ,Ecology ,Environmental resource management ,Geology ,Computer Science Applications ,Interdisciplinary Natural Sciences ,Microbial biodiversity ,[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology ,Ocean sampling day, OSD, Biodiversity, Genomics, Health Index, Bacteria, Microorganism, Metagenomics,Marine, Micro B3, Standards ,Oceans and Seas ,Microorganisms ,Marine Biology ,Health Informatics ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,Biology ,Ecology and Environment ,Metagenomic ,03 medical and health sciences ,Health index ,Medisinske Fag: 700 [VDP] ,SDG 14 - Life Below Water ,14. Life underwater ,030304 developmental biology ,business.industry ,010604 marine biology & hydrobiology ,Ocean sampling ,13. Climate action ,Commentary ,Genomic ,Database Management Systems ,Global Ocean ,business - Abstract
Kopf, Anna ... et. al.-- 5 pages, 1 figure.-- This manuscript is NOAA-GLERL contribution number 1763, Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits, This work was supported by the Micro B3 project, which is funded from the European Union’s Seventh Framework Programme (FP7; Joint Call OCEAN.2011‐2: Marine microbial diversity – new insights into marine ecosystems functioning and its biotechnological potential) under the grant agreement no 287589
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- 2015
39. Quantifying coastal freshwater extremes during unprecedented rainfall using long timeseries multi-platform salinity observations.
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Malan N, Roughan M, Hemming M, and Ingleton T
- Abstract
During 2022, extreme rainfall occurred across southeast Australia, making it the wettest year on record. The oceanic impact of extreme rainfall events in normally 'dry' regions is not well understood, as their effects are challenging to observe. Here, we use unique multi-platform timeseries and spatial data from 36 autonomous ocean glider missions over 13 years, and we define an extreme salinity threshold inshore of the East Australian Current. We show that the freshwater plume extended fivefold further than previously thought. The compound effect of multiple large rainfall events resulted in a newly observed stratification ('double-stacking') dynamic, with the stratification being largely controlled by salinity. Extreme salinity events are known to be important for species composition of local fisheries as well as detrimental for coastal water quality. Such events and their impacts may become more common as extreme rainfall events are projected to become more frequent in a changing climate. Hence, comprehensive observing strategies facilitating identification of salinity extremes are essential., (© 2024. The Author(s).)
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- 2024
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40. Anchor scour from shipping and the defaunation of rocky reefs: A quantitative assessment.
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Broad A, Rees M, Knott N, Swadling D, Hammond M, Ingleton T, Morris B, and Davis AR
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- Animals, Ships, Biodiversity, Invertebrates, Ecosystem, Coral Reefs
- Abstract
Anchor scour from shipping is increasingly recognised as a global threat to benthic marine biodiversity, yet no replicated ecological assessment exists for any seabed community. Without quantification of impacts to biota, there is substantial uncertainty for maritime stakeholders and managers of the marine estate on how these impacts can be managed or minimised. Our study focuses on a region in SE Australia with a high proportion of mesophotic reef (>30 m), where ships anchor while waiting to enter nearby ports. Temperate mesophotic rocky reefs are unique, providing a platform for a diversity of biota, including sponges, ahermatypic corals and other sessile invertebrates. They are rich in biodiversity, provide essential food resources, habitat refugia and ecosystem services for a range of economically, as well as ecologically important taxa. We examined seven representative taxa from four phyla (porifera, cnidaria, bryozoan, hydrozoa) across anchored and 'anchor-free' sites to determine which biota and which of their morphologies were most at risk. Using stereo-imagery, we assessed the richness of animal forest biota, morphology, size, and relative abundance. Our analysis revealed striking impacts to animal forests exposed to anchoring with between three and four-fold declines in morphotype richness and relative abundance. Marked compositional shifts, relative to those reefs that were anchor-free, were also apparent. Six of the seven taxonomic groups, most notably sponge morphotypes, exhibited strong negative responses to anchoring, while one morphotype, soft bryozoans, showed no difference between treatments. Our findings confirm that anchoring on reefs leads to the substantial removal of biota, with marked reductions of biodiversity and requires urgent management. The exclusion of areas of high biological value from anchorages is an important first step towards ameliorating impacts and promoting the recovery of biodiversity., Competing Interests: Declaration of competing interest None of the authors have interests to declare., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
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- 2023
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41. Desalination Discharge Influences the Composition of Reef Invertebrate and Fish Assemblages.
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Kelaher BP, Clark GF, Johnston EL, Ingleton T, Knott NA, and Coleman MA
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- Animals, Biodiversity, Biota, Fishes, Invertebrates, Coral Reefs, Ecosystem
- Abstract
Large-scale desalination is used increasingly to address growing freshwater demands and climate uncertainty. Discharge of hypersaline brine from desalination operations has the potential to impact marine ecosystems. Here, we used a 7-year Multiple-Before-After-Control-Impact experiment to test the hypothesis that hypersaline discharge from reverse osmosis desalination alters temperate reef communities. Using replicated, video-based, timed searches at eight sites, we sampled fish and invertebrate assemblages before, during, and after the discharge of hypersaline brine. We found that the composition of fish assemblages was significantly altered out to 55 m while the composition of invertebrate assemblages was altered out to 125 m from the outlet during hypersaline discharge. Fish richness and functional diversity increased around the outlet, while the invertebrate assemblages were no less diverse than those on reference reefs. Differences in faunal assemblages between outlet and reference sites during discharging included changes in the frequency of occurrence of both common and rare reef biota. Overall, we found the influence of hypersaline discharge on temperate reef biota to be spatially localized, with the reefs around the outlet continuing to support rich and diverse faunal communities. In some cases, therefore, the marine environmental consequences of large-scale, well-designed, desalination operations may be appropriately balanced against the positive benefits of improved water security.
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- 2022
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42. The Microbiological Drivers of Temporally Dynamic Dimethylsulfoniopropionate Cycling Processes in Australian Coastal Shelf Waters.
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O'Brien J, McParland EL, Bramucci AR, Ostrowski M, Siboni N, Ingleton T, Brown MV, Levine NM, Laverock B, Petrou K, and Seymour J
- Abstract
The organic sulfur compounds dimethylsulfoniopropionate (DMSP) and dimethyl sulfoxide (DMSO) play major roles in the marine microbial food web and have substantial climatic importance as sources and sinks of dimethyl sulfide (DMS). Seasonal shifts in the abundance and diversity of the phytoplankton and bacteria that cycle DMSP are likely to impact marine DMS (O) (P) concentrations, but the dynamic nature of these microbial interactions is still poorly resolved. Here, we examined the relationships between microbial community dynamics with DMS (O) (P) concentrations during a 2-year oceanographic time series conducted on the east Australian coast. Heterogenous temporal patterns were apparent in chlorophyll a (chl a ) and DMSP concentrations, but the relationship between these parameters varied over time, suggesting the phytoplankton and bacterial community composition were affecting the net DMSP concentrations through differential DMSP production and degradation. Significant increases in DMSP were regularly measured in spring blooms dominated by predicted high DMSP-producing lineages of phytoplankton ( Heterocapsa , Prorocentrum , Alexandrium , and Micromonas ), while spring blooms that were dominated by predicted low DMSP-producing phytoplankton ( Thalassiosira ) demonstrated negligible increases in DMSP concentrations. During elevated DMSP concentrations, a significant increase in the relative abundance of the key copiotrophic bacterial lineage Rhodobacterales was accompanied by a three-fold increase in the gene, encoding the first step of DMSP demethylation ( dmdA ). Significant temporal shifts in DMS concentrations were measured and were significantly correlated with both fractions (0.2-2 μm and >2 μm) of microbial DMSP lyase activity. Seasonal increases of the bacterial DMSP biosynthesis gene ( dsyB ) and the bacterial DMS oxidation gene ( tmm ) occurred during the spring-summer and coincided with peaks in DMSP and DMSO concentration, respectively. These findings, along with significant positive relationships between dsyB gene abundance and DMSP, and tmm gene abundance with DMSO, reinforce the significant role planktonic bacteria play in producing DMSP and DMSO in ocean surface waters. Our results highlight the highly dynamic nature and myriad of microbial interactions that govern sulfur cycling in coastal shelf waters and further underpin the importance of microbial ecology in mediating important marine biogeochemical processes., Competing Interests: 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., (Copyright © 2022 O’Brien, McParland, Bramucci, Ostrowski, Siboni, Ingleton, Brown, Levine, Laverock, Petrou and Seymour.)
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- 2022
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43. Multi-decadal ocean temperature time-series and climatologies from Australia's long-term National Reference Stations.
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Roughan M, Hemming M, Schaeffer A, Austin T, Beggs H, Chen M, Feng M, Galibert G, Holden C, Hughes D, Ingleton T, Milburn S, and Ridgway K
- Abstract
Multi-decadal ocean time-series are fundamental baselines for assessing the impacts of environmental change, however, compiling and quality controlling historic data from multiple sources remains challenging. Here we aggregate, document, and release a number of long time-series temperature products and climatologies compiled from data obtained at 4 monitoring sites around Australia where sub-surface ocean temperature has been recorded nominally weekly to monthly since the 1940s/50s. In recent years, the sampling was augmented with data obtained from moored sensors, vertical profiles and satellite-derived data. The temperature data have been quality controlled, and combined using a rigorously tested methodology. We have packaged the multi-decadal, multi-depth, multi-platform temperature time-series at each site and produced a range of daily temperature climatologies from different data combinations and time periods. The 17 data products are provided as CF-compliant NetCDF files and will be updated periodically. The long-term temperature time-series will be useful for studies of ocean temperature variability, trends, anomalies and change. The data collection is supported by Australia's Integrated Marine Observing System and data are open-access., (© 2022. Crown.)
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- 2022
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44. Microbial tropicalization driven by a strengthening western ocean boundary current.
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Messer LF, Ostrowski M, Doblin MA, Petrou K, Baird ME, Ingleton T, Bissett A, Van de Kamp J, Nelson T, Paulsen I, Bodrossy L, Fuhrman JA, Seymour JR, and Brown MV
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- Australia, Chlorophyll A, Pacific Ocean, Prochlorococcus, Seawater
- Abstract
Western boundary currents (WBCs) redistribute heat and oligotrophic seawater from the tropics to temperate latitudes, with several displaying substantial climate change-driven intensification over the last century. Strengthening WBCs have been implicated in the poleward range expansion of marine macroflora and fauna, however, the impacts on the structure and function of temperate microbial communities are largely unknown. Here we show that the major subtropical WBC of the South Pacific Ocean, the East Australian Current (EAC), transports microbial assemblages that maintain tropical and oligotrophic (k-strategist) signatures, to seasonally displace more copiotrophic (r-strategist) temperate microbial populations within temperate latitudes of the Tasman Sea. We identified specific characteristics of EAC microbial assemblages compared with non-EAC assemblages, including strain transitions within the SAR11 clade, enrichment of Prochlorococcus, predicted smaller genome sizes and shifts in the importance of several functional genes, including those associated with cyanobacterial photosynthesis, secondary metabolism and fatty acid and lipid transport. At a temperate time-series site in the Tasman Sea, we observed significant reductions in standing stocks of total carbon and chlorophyll a, and a shift towards smaller phytoplankton and carnivorous copepods, associated with the seasonal impact of the EAC microbial assemblage. In light of the substantial shifts in microbial assemblage structure and function associated with the EAC, we conclude that climate-driven expansions of WBCs will expand the range of tropical oligotrophic microbes, and potentially profoundly impact the trophic status of temperate waters., (© 2020 John Wiley & Sons Ltd.)
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- 2020
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45. A seafloor habitat map for the Australian continental shelf.
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Lucieer V, Barrett N, Butler C, Flukes E, Ierodiaconou D, Ingleton T, Jordan A, Monk J, Meeuwig J, Porter-Smith R, Smit N, Walsh P, Wright A, and Johnson C
- Abstract
Here we outline the genesis of Seamap Australia, which integrates spatial data of the seabed of Australia's continental shelf (0-200 m depth) from multiple sources to provide a single national map layer of marine habitat. It is underpinned by a hierarchical classification scheme with registered vocabulary, enabling presentation of nationally consistent information at the highest resolution available for any point in space. The Seamap Australia website enables users to delineate particular areas of interest, overlay habitat maps with many other marine data layers, and to directly access the data and metadata underlying the maps they produce. This unique resource represents a step-change in capacity to access and integrate large and diverse marine data holdings and to readily derive information and products to underpin decision making around marine spatial planning and conservation prioritisation, state-of-environment reporting, and research. It is a world first fully integrated national-scale marine mapping and data service.
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- 2019
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46. Taking a deeper look: Quantifying the differences in fish assemblages between shallow and mesophotic temperate rocky reefs.
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Williams J, Jordan A, Harasti D, Davies P, and Ingleton T
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- Animals, Ecology, Fisheries, Biodiversity, Coral Reefs, Ecosystem, Environmental Monitoring methods, Fishes physiology, Population Density
- Abstract
The spatial distribution of a species assemblage is often determined by habitat and climate. In the marine environment, depth can become an important factor as declining light and water temperature leads to changes in the biological habitat structure. To date, much of the focus of ecological fish research has been based on reefs in less than 40 m with little research on the ecological role of mesophotic reefs. We deployed baited remote underwater stereo video systems (stereo-BRUVS) on temperate reefs in two depth categories: shallow (20-40 m) and mesophotic (80-120 m), off Port Stephens, Australia. Sites were selected using data collected by swath acoustic sounder to ensure stereo-BRUVS were deployed on reef. The sounder also provided rugosity, slope and relief data for each stereo-BRUVS deployment. Multivariate analysis indicates that there are significant differences in the fish assemblages between shallow and mesophotic reefs, primarily driven by Ophthalmolepis lineolatus and Notolabrus gymnogenis only occurring on shallow reefs and schooling species of fish that were unique to each depth category: Atypichthys strigatus on shallow reefs and Centroberyx affinis on mesophotic reefs. While shallow reefs had a greater species richness and abundance of fish when compared to mesophotic reefs, mesophotic reefs hosted the same species richness of fishery-targeted species. Chrysophrys auratus and Nemodactylus douglassii are two highly targeted species in this region. While C. auratus was numerically more abundant on shallow reefs, mesophotic reefs provide habitat for larger fish. In comparison, N. douglassii were evenly distributed across all sites sampled. Generalized linear models revealed that depth and habitat type provided the most parsimonious model for predicting the distribution of C. auratus, while habitat type alone best predicted the distribution of N. douglassii. These results demonstrate the importance of mesophotic reefs to fishery-targeted species and therefore have implications for informing the management of these fishery resources on shelf rocky reefs., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2019
- Full Text
- View/download PDF
47. Systematic, continental scale temporal monitoring of marine pelagic microbiota by the Australian Marine Microbial Biodiversity Initiative.
- Author
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Brown MV, van de Kamp J, Ostrowski M, Seymour JR, Ingleton T, Messer LF, Jeffries T, Siboni N, Laverock B, Bibiloni-Isaksson J, Nelson TM, Coman F, Davies CH, Frampton D, Rayner M, Goossen K, Robert S, Holmes B, Abell GCJ, Craw P, Kahlke T, Sow SLS, McAllister K, Windsor J, Skuza M, Crossing R, Patten N, Malthouse P, van Ruth PD, Paulsen I, Fuhrman JA, Richardson A, Koval J, Bissett A, Fitzgerald A, Moltmann T, and Bodrossy L
- Subjects
- Australia, Biodiversity, Oceans and Seas, Sequence Analysis, RNA, Water Microbiology, Archaea genetics, Bacteria genetics, Microbiota
- Abstract
Sustained observations of microbial dynamics are rare, especially in southern hemisphere waters. The Australian Marine Microbial Biodiversity Initiative (AMMBI) provides methodologically standardized, continental scale, temporal phylogenetic amplicon sequencing data describing Bacteria, Archaea and microbial Eukarya assemblages. Sequence data is linked to extensive physical, biological and chemical oceanographic contextual information. Samples are collected monthly to seasonally from multiple depths at seven sites: Darwin Harbour (Northern Territory), Yongala (Queensland), North Stradbroke Island (Queensland), Port Hacking (New South Wales), Maria Island (Tasmania), Kangaroo Island (South Australia), Rottnest Island (Western Australia). These sites span ~30° of latitude and ~38° longitude, range from tropical to cold temperate zones, and are influenced by both local and globally significant oceanographic and climatic features. All sequence datasets are provided in both raw and processed fashion. Currently 952 samples are publically available for bacteria and archaea which include 88,951,761 bacterial (72,435 unique) and 70,463,079 archaeal (24,205 unique) 16 S rRNA v1-3 gene sequences, and 388 samples are available for eukaryotes which include 39,801,050 (78,463 unique) 18 S rRNA v4 gene sequences.
- Published
- 2018
- Full Text
- View/download PDF
48. A database of chlorophyll a in Australian waters.
- Author
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Davies CH, Ajani P, Armbrecht L, Atkins N, Baird ME, Beard J, Bonham P, Burford M, Clementson L, Coad P, Crawford C, Dela-Cruz J, Doblin MA, Edgar S, Eriksen R, Everett JD, Furnas M, Harrison DP, Hassler C, Henschke N, Hoenner X, Ingleton T, Jameson I, Keesing J, Leterme SC, James McLaughlin M, Miller M, Moffatt D, Moss A, Nayar S, Patten NL, Patten R, Pausina SA, Proctor R, Raes E, Robb M, Rothlisberg P, Saeck EA, Scanes P, Suthers IM, Swadling KM, Talbot S, Thompson P, Thomson PG, Uribe-Palomino J, van Ruth P, Waite AM, Wright S, and Richardson AJ
- Subjects
- Australia, Databases, Factual, Ecosystem, Phytoplankton, Seawater, Chlorophyll
- Abstract
Chlorophyll a is the most commonly used indicator of phytoplankton biomass in the marine environment. It is relatively simple and cost effective to measure when compared to phytoplankton abundance and is thus routinely included in many surveys. Here we collate 173, 333 records of chlorophyll a collected since 1965 from Australian waters gathered from researchers on regular coastal monitoring surveys and ocean voyages into a single repository. This dataset includes the chlorophyll a values as measured from samples analysed using spectrophotometry, fluorometry and high performance liquid chromatography (HPLC). The Australian Chlorophyll a database is freely available through the Australian Ocean Data Network portal (https://portal.aodn.org.au/). These data can be used in isolation as an index of phytoplankton biomass or in combination with other data to provide insight into water quality, ecosystem state, and relationships with other trophic levels such as zooplankton or fish.
- Published
- 2018
- Full Text
- View/download PDF
49. A database of marine phytoplankton abundance, biomass and species composition in Australian waters.
- Author
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Davies CH, Coughlan A, Hallegraeff G, Ajani P, Armbrecht L, Atkins N, Bonham P, Brett S, Brinkman R, Burford M, Clementson L, Coad P, Coman F, Davies D, Dela-Cruz J, Devlin M, Edgar S, Eriksen R, Furnas M, Hassler C, Hill D, Holmes M, Ingleton T, Jameson I, Leterme SC, Lønborg C, McLaughlin J, McEnnulty F, McKinnon AD, Miller M, Murray S, Nayar S, Patten R, Pausina SA, Pritchard T, Proctor R, Purcell-Meyerink D, Raes E, Rissik D, Ruszczyk J, Slotwinski A, Swadling KM, Tattersall K, Thompson P, Thomson P, Tonks M, Trull TW, Uribe-Palomino J, Waite AM, Yauwenas R, Zammit A, and Richardson AJ
- Published
- 2017
- Full Text
- View/download PDF
50. Corrigendum: A database of marine phytoplankton abundance, biomass and species composition in Australian waters.
- Author
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Davies CH, Coughlan A, Hallegraeff G, Ajani P, Armbrecht L, Atkins N, Bonham P, Brett S, Brinkman R, Burford M, Clementson L, Coad P, Coman F, Davies D, Dela-Cruz J, Devlin M, Edgar S, Eriksen R, Furnas M, Hassler C, Hill D, Holmes M, Ingleton T, Jameson I, Leterme SC, Lønborg C, McLaughlin J, McEnnulty F, McKinnon AD, Miller M, Murray S, Nayar S, Patten R, Pritchard T, Proctor R, Purcell-Meyerink D, Raes E, Rissik D, Ruszczyk J, Slotwinski A, Swadling KM, Tattersall K, Thompson P, Thomson P, Tonks M, Trull TW, Uribe-Palomino J, Waite AM, Yauwenas R, Zammit A, and Richardson AJ
- Published
- 2016
- Full Text
- View/download PDF
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