9 results on '"Phelps, Charlie M."'
Search Results
2. Global dataset on seagrass meadow structure, biomass and production
- Author
-
Environmental Protection Authority (Australia), Edith Cowan University, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Strydom, Simone, McCallum, Roisin, Lafratta, Anna, Webster, Chanelle, O'Dea, Caitlyn M., Said, Nicole E., Dunham, Natasha, Inostroza, Karina, Salinas, Cristian, Billinghurst, Samuel, Phelps, Charlie M., Campbell, Connor, Gorham, Connor, Bernasconi, Rachele, Frouws, Anna M., Werner, Axel, Vitelli, Federico, Puigcorbé, Viena, D'Cruz, Alexandra, McMahon, Kathryn M., Robinson, Jack, Huggett, Megan J., McNamara, Sian, Hyndes, Glenn, Serrano, Oscar, Environmental Protection Authority (Australia), Edith Cowan University, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Strydom, Simone, McCallum, Roisin, Lafratta, Anna, Webster, Chanelle, O'Dea, Caitlyn M., Said, Nicole E., Dunham, Natasha, Inostroza, Karina, Salinas, Cristian, Billinghurst, Samuel, Phelps, Charlie M., Campbell, Connor, Gorham, Connor, Bernasconi, Rachele, Frouws, Anna M., Werner, Axel, Vitelli, Federico, Puigcorbé, Viena, D'Cruz, Alexandra, McMahon, Kathryn M., Robinson, Jack, Huggett, Megan J., McNamara, Sian, Hyndes, Glenn, and Serrano, Oscar
- Abstract
Seagrass meadows provide valuable socio-ecological ecosystem services, including a key role in climate change mitigation and adaption. Understanding the natural history of seagrass meadows across environmental gradients is crucial to deciphering the role of seagrasses in the global ocean. In this data collation, spatial and temporal patterns in seagrass meadow structure, biomass and production data are presented as a function of biotic and abiotic habitat characteristics. The biological traits compiled include measures of meadow structure (e.g. percent cover and shoot density), biomass (e.g. above-ground biomass) and production (e.g. shoot production). Categorical factors include bioregion, geotype (coastal or estuarine), genera and year of sampling. This dataset contains data extracted from peer-reviewed publications published between 1975 and 2020 based on a Web of Science search and includes 11 data variables across 12 seagrass genera. The dataset excludes data from mesocosm and field experiments, contains 14 271 data points extracted from 390 publications and is publicly available on the PANGAEA® data repository (https://doi.org/10.1594/PANGAEA.929968; Strydom et al., 2021). The top five most studied genera are Zostera, Thalassia, Cymodocea, Halodule and Halophila (84 % of data), and the least studied genera are Phyllospadix, Amphibolis and Thalassodendron (2.3 % of data). The data hotspot bioregion is the Tropical Indo-Pacific (25 % of data) followed by the Tropical Atlantic (21 %), whereas data for the other four bioregions are evenly spread (ranging between 13 and 15 % of total data within each bioregion). From the data compiled, 57 % related to seagrass biomass and 33 % to seagrass structure, while the least number of data were related to seagrass production (11 % of data). This data collation can inform several research fields beyond seagrass ecology, such as the development of nature-based solutions for climate change mitigation, which include readership i
- Published
- 2023
3. Global dataset on seagrass meadow structure, biomass and production
- Author
-
Strydom, Simone, McCallum, Roisin, Lafratta, Anna, Webster, Chanelle L., O'Dea, Caitlyn M., Said, Nicole E., Dunham, Natasha, Inostroza, Karina, Salinas, Cristian, Billinghurst, Samuel, Phelps, Charlie M., Campbell, Connor, Gorham, Connor, Bernasconi, Rachele, Frouws, Anna M., Werner, Axel, Vitelli, Federico, Puigcorbé, Viena, D'Cruz, Alexandra, McMahon, Kathryn M., Robinson, Jack, Huggett, Megan J., McNamara, Sian, Hyndes, Glenn A., Serrano, Oscar, Strydom, Simone, McCallum, Roisin, Lafratta, Anna, Webster, Chanelle L., O'Dea, Caitlyn M., Said, Nicole E., Dunham, Natasha, Inostroza, Karina, Salinas, Cristian, Billinghurst, Samuel, Phelps, Charlie M., Campbell, Connor, Gorham, Connor, Bernasconi, Rachele, Frouws, Anna M., Werner, Axel, Vitelli, Federico, Puigcorbé, Viena, D'Cruz, Alexandra, McMahon, Kathryn M., Robinson, Jack, Huggett, Megan J., McNamara, Sian, Hyndes, Glenn A., and Serrano, Oscar
- Abstract
Seagrass meadows provide valuable socio-ecological ecosystem services, including a key role in climate change mitigation and adaption. Understanding the natural history of seagrass meadows across environmental gradients is crucial to deciphering the role of seagrasses in the global ocean. In this data collation, spatial and temporal patterns in seagrass meadow structure, biomass and production data are presented as a function of biotic and abiotic habitat characteristics. The biological traits compiled include measures of meadow structure (e.g. percent cover and shoot density), biomass (e.g. above-ground biomass) and production (e.g. shoot production). Categorical factors include bioregion, geotype (coastal or estuarine), genera and year of sampling. This dataset contains data extracted from peer-reviewed publications published between 1975 and 2020 based on a Web of Science search and includes 11 data variables across 12 seagrass genera. The dataset excludes data from mesocosm and field experiments, contains 14271 data points extracted from 390 publications and is publicly available on the PANGAEA® data repository (10.1594/PANGAEA.929968; Strydom et al., 2021). The top five most studied genera are Zostera, Thalassia, Cymodocea, Halodule and Halophila (84 % of data), and the least studied genera are Phyllospadix, Amphibolis and Thalassodendron (2.3 % of data). The data hotspot bioregion is the Tropical Indo-Pacific (25 % of data) followed by the Tropical Atlantic (21 %), whereas data for the other four bioregions are evenly spread (ranging between 13 and 15 % of total data within each bioregion). From the data compiled, 57 % related to seagrass biomass and 33 % to seagrass structure, while the least number of data were related to seagrass production (11 % of data). This data collation can inform several research fields beyond seagrass ecology, such as the development of nature-based solutions for climate change mitigation, which include readership interested in blue
- Published
- 2023
4. Global dataset on seagrass meadow structure, biomass, production and reproduction
- Author
-
Strydom, Simone, primary, Webster, Chanelle L., additional, O'Dea, Caitlyn M., additional, Said, Nicole E., additional, McCallum, Roisin, additional, Inostroza, Karina, additional, Salinas, Cristian, additional, Billinghurst, Samuel, additional, Lafratta, Anna, additional, Phelps, Charlie M., additional, Campbell, Connor, additional, Gorham, Connor, additional, Dunham, Natasha, additional, Bernasconi, Rachele, additional, Frouws, Anna M., additional, Werner, Axel, additional, Vitelli, Frederico, additional, Puigcorbé, Viena, additional, D'Cruz, Alexandra, additional, McMahon, Kathryn M., additional, Robinson, Jack, additional, Huggett, Megan J., additional, McNamara, Sian, additional, Hyndes, Glenn A., additional, and Serrano, Oscar, additional
- Published
- 2022
- Full Text
- View/download PDF
5. CPhelps et al. Disease, natural and aquaria E. radiata microbiome ASV (Amplicon Sequence Variant) table
- Author
-
Phelps, Charlie M. and Phelps, Charlie M.
- Abstract
This ASV table is the raw sequencing abundances for the Chapter 4 dataset with accompanying metadata.
- Published
- 2022
6. The surface bacterial community of an Australian kelp shows cross-continental variation and relative stability within regions
- Author
-
Phelps, Charlie M, primary, McMahon, Kathryn, additional, Bissett, Andrew, additional, Bernasconi, Rachele, additional, Steinberg, Peter D, additional, Thomas, Torsten, additional, Marzinelli, Ezequiel M, additional, and Huggett, Megan J, additional
- Published
- 2021
- Full Text
- View/download PDF
7. Supplementary Table 11: Regional zOTU table (data as relative abundances)
- Author
-
Phelps, Charlie M., Mcmahon, Kathryn, Bissett, Andrew, Bernasconi, Rachele, Steinberg, Peter D., Thomas, Torsten, Marzinelli, Ezequiel M., Huggett, Megan J., Phelps, Charlie M., Mcmahon, Kathryn, Bissett, Andrew, Bernasconi, Rachele, Steinberg, Peter D., Thomas, Torsten, Marzinelli, Ezequiel M., and Huggett, Megan J.
- Abstract
This zOTU table is the relative abundances for the whole regional (combined WA and NSW) dataset.
- Published
- 2021
8. Global dataset on seagrass meadow structure, biomass, production and reproduction.
- Author
-
Strydom, Simone, Webster, Chanelle L., O'Dea, Caitlyn M., Said, Nicole E., McCallum, Roisin, Inostroza, Karina, Salinas, Cristian, Billinghurst, Samuel, Lafratta, Anna, Phelps, Charlie M., Campbell, Connor, Gorham, Connor, Dunham, Natasha, Bernasconi, Rachele, Frouws, Anna M., Werner, Axel, Vitelli, Federico, Puigcorbé, Viena, D'Cruz, Alexandra, and McMahon, Kathryn M.
- Subjects
SEAGRASSES ,SEAGRASS restoration ,CLIMATE change mitigation ,BIOMASS ,ZOSTERA ,FLOWER seeds ,ECOSYSTEM services - Abstract
Seagrass meadows provide valuable socio-ecological ecosystem services, including a key role in climate change mitigation and adaption. Understanding the natural history of seagrass meadows across environmental gradients is crucial to decipher the role of seagrasses in the global ocean. In this data collation, spatial and temporal patterns in seagrass meadow structure, biomass, production and reproduction data are presented as a function of biotic and abiotic habitat characteristics. The biological traits compiled include measures of meadow structure (e.g., percent cover and shoot density), biomass (e.g., above-ground biomass), production (e.g., shoot production), and reproduction effort (e.g., flowering intensity and seed bank density). Categorical factors include bioregion, geotype (coastal or estuarine), genera and year of sampling. This dataset contains data extracted from peer-reviewed publications published between 1975 and 2020 based on a Web of Science search, and includes 15 data variables across 12 seagrass genera. The top four most studied genera are Zostera, Thalassia, Halophila and Cymodocea (80% of data), and the least studied genera are Phyllospadix, Amphibolis and Thalassodendron (2.3% of data). The data hotspot bioregion is the Tropical Indo Pacific (25% of data), whereas data for the other five bioregions are evenly spread (ranging between 13 and 16% of total data within each bioregion). From the data compiled, 39% related to seagrass biomass, while the least number of data were related to seagrass production (10% of data). This data collation can inform several research fields beyond seagrass ecology, such as the development of nature-based solutions for climate change mitigation, which include readership interested in blue carbon, engineering, fisheries, global change, conservation and policy. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
9. Microbiomes of Western Australian marine environments
- Author
-
Phelps, Charlie M., Rachele Bernasconi, Melissa Danks, Gasol, Josep M., Hopkins, Anna J. M., Jacquelyn Jones, Kavazos, Christopher R. J., Belinda Martin, Flavia Tarquinio, and Huggett, Megan J.
- Subjects
Bacterioplankton ,Seagreass ,Macroalgae ,Marine microbiome ,Coral ,Western Australia - Abstract
27 pages, 5 figures, 1 appendix, Microbes are fundamentally important to the maintenance of all habitats, including those in the ocean: they govern biogeochemical cycles, contribute to resistance from disease and nutritional requirements of macroorganisms and provide enormous biological and genetic diversity. The oceanic environment of the west coast of Australia is dominated by the Leeuwin Current, a poleward flowing boundary current that brings warm water down the coastline from the north. Due to the influence of the current, tropical species exist further south than they would otherwise, and stretches of the coastline host unique assortments of tropical and temperate species. Seawater itself, as well as the benthic macroorganisms that inhabit ocean environments, form habitats such as extensive areas of seagrass beds, macroalgal forests, coral reefs, sponge gardens, benthic mats including stromatolites, continental slopes and canyons and abyssal plain enviroments. These environments, and the macroorganisms that inhabit them, are all intrinsically linked with highly abundant and diverse consortiums of microorganisms. To date, there has been little research aimed at understanding these critical organisms within Western Australia. Here we review the current literature from the dominant coastal types (seagrass, coral, temperate macroalgae, vertebrates and stromatolites) in Western Australia. The most well researched are pelagic habitats and those with stromatolites, whereas data on all the other environments are slowly beginning to emerge. We urge future research efforts to be directed toward understanding the diversity, function, resilience and connectivity of coastal microorganisms in Western Australia
- Published
- 2018
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.