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  • Data  (14)
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  • 1
    Publication Date: 2023-07-10
    Keywords: Aegiceras; Avicennia; Bruguiera; Carbon dioxid emissions, potential; Carbon loss, annual, potential; Ceripos; Conocarpus; Country; Description; Excoecaria; Group; Habitat loss, annual; Hemisphere; Heritiera; Kandelia; Laguncularia; LATITUDE; LONGITUDE; Lumnitzera; Mangrove area; Number of genera; Nypa; Reference/source; Rhizophora; Sample ID; Soil carbon stock; Sonneratia; Stock loss; Total stocks; Xylocarpus
    Type: Dataset
    Format: text/tab-separated-values, 33960 data points
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Lovelock, Catherine E; Reef, Ruth; Pandolfi, John M (accepted): Regional variation in δ13C of coral reef macroalgae. Global Ecology and Biogeography
    Publication Date: 2023-08-04
    Description: Data set contains natural stable isotopes of carbon and nitrogen of coral reef macroalgae, collected by hand from six locations from the Great Barrier Reef and Moreton Bay, Queensland, Australia, between 2008 and 2012. Data for 681 samples were analysed. In addition to natural stable isotopes, data include taxonomic details, nitrogen and phosphorus content (expressed as a percentage of dry weight), rate of photosynthetic electron transport (in micromoles per meter squared per second), RNA content and RNA:DNA ratio.
    Keywords: Area/locality; Australia; Carbon; Carbon/Nitrogen ratio; Carbon/Phosphorus ratio; Class; DEPTH, water; Event label; GBR_Heron_Island; GBR_Keppel_Island; GBR_Lady_Elliot; GBR_Lizard_Island; GBR_Magnetic_Island; GBR_Moreton_Bay_Redcliffe; GBR_Seals_Rocks; GBR_Terriga; Genus; Great Barrier Reef; HAND; Location; natural stable isotopes; nitrogen; Nitrogen, total; Nitrogen/Phosphorus ratio; Order; Phosphorus; Photosynthesis; Photosynthetic electron transport rate; Phylum; Position; Ribonucleic acid; RNA:DNA ratio; RNA/DNA ratio; Sample ID; Sampling by hand; Season; seaweed; Species; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 12055 data points
    Location Call Number Limitation Availability
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  • 3
  • 4
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    Unknown
    PANGAEA
    In:  Supplement to: Samper-Villarreal, Jimena; Lovelock, Catherine E; Saunders, Megan I; Roelfsema, Christiaan M; Mumby, Peter John (2016): Organic carbon in seagrass sediments is influenced by seagrass canopy complexity, turbidity, wave height, and water depth. Limnology and Oceanography, 61(3), 938-952, https://doi.org/10.1002/lno.10262
    Publication Date: 2023-12-05
    Description: Seagrass meadows are important marine carbon sinks, yet they are threatened and declining worldwide. Seagrass management and conservation requires adequate understanding of the physical and biological factors determining carbon content in seagrass sediments. Here, we identified key factors that influence carbon content in seagrass meadows across several environmental gradients in Moreton Bay, SE Queensland. Sampling was conducted in two regions: (1) Canopy Complexity, 98 sites on the Eastern Banks, where seagrass canopy structure and species composition varied while turbidity was consistently low; and (2) Turbidity Gradient, 11 locations across the entire bay, where turbidity varied among sampling locations. Sediment organic carbon content and seagrass structural complexity (shoot density, leaf area, and species specific characteristics) were measured from shallow sediment and seagrass biomass cores at each location, respectively. Environmental data were obtained from empirical measurements (water quality) and models (wave height). The key factors influencing carbon content in seagrass sediments were seagrass structural complexity, turbidity, water depth, and wave height. In the Canopy Complexity region, carbon content was higher for shallower sites and those with higher seagrass structural complexity. When turbidity varied along the Turbidity Gradient, carbon content was higher at sites with high turbidity. In both regions carbon content was consistently higher in sheltered areas with lower wave height. Seagrass canopy structure, water depth, turbidity, and hydrodynamic setting of seagrass meadows should therefore be considered in conservation and management strategies that aim to maximize sediment carbon content.
    Keywords: AM_T23-S; AM_T24-W; AM_T3-N; AM_T4-S; AM_T5-N; AM_T6-W; AM_T7-N; AP.1; AP.2; AP.3; AP.4; AP.5; AP.6; Biomass, dry mass per area; BM_WA_04; BM_WA_05; BMS_AM_06; BMS_AM_07; BMS_AM_08; BMS_AM_10; BMS_AM_11; BMS_AM_11-3; BMS_AM_16; BMS_AM_18; BMS_AM_7; BMS_AM_8; BMS_MA_01; BMS_MA_03; BMS_MA_05; BMS_MA_06; BMS_MA_07; BMS_MA_11; BMS_MA_18; BMS_MA_3; BMS_MA_5; BMS_MA_6; BMS_MO_01; BMS_MO_02; BMS_MO_09; BMS_MO_15; BMS_MO_16; BMS_MO_18; BMS_WA_0; BMS_WA_01; BMS_WA_02; BMS_WA_4; BMS_WA_5; C.1; C.2; C.3; C.4; C.5; C.6; Cymodocea serrulata, area; Cymodocea serrulata, biomass, dry mass; Cymodocea serrulata, length; Cymodocea serrulata, shoots; Cymodocea serrulata, width; DATE/TIME; Density, shoots; Detritus, biomass, dry mass; DIVER; Eastern Banks, Amity Banks; Eastern Banks, Chain Banks; Eastern Banks, Maroom Banks; Eastern Banks, Moreton Banks; Eastern Banks, Wanga Wallen Banks; Event label; Halodule uninervis, area; Halodule uninervis, biomass, dry mass; Halodule uninervis, length; Halodule uninervis, shoots; Halodule uninervis, width; Halophila ovalis, area; Halophila ovalis, biomass, dry mass; Halophila ovalis, length; Halophila ovalis, shoots; Halophila ovalis, width; Halophila spinulosa, area; Halophila spinulosa, biomass, dry mass; Halophila spinulosa, length; Halophila spinulosa, shoots; Halophila spinulosa, width; L.1; L.2; L.3; L.4; L.5; L.6; Latitude of event; Location of event; Longitude of event; M.1; M.2; M.3; M.4; M.5; M.6; MA_T2-E; MA_T3-E; MA_T4-E; MA_T5-E; Macroalgae, biomass, dry mass; Mangrove, biomass, dry mass; MB_AM_T10-E; MB_AM_T10-W; MB_AM_T1-E; MB_AM_T23-N; MB_AM_T23-S; MB_AM_T24-E; MB_AM_T24-W; MB_AM_T3-N; MB_AM_T3-S; MB_AM_T4-N; MB_AM_T4-S; MB_AM_T5-N; MB_AM_T5-S; MB_AM_T6_end; MB_AM_T7-N; MB_AM_T7-S; MB_AM_T8-W; MB_CH1_end; MB_CH1_start; MB_MA_T1-N_end; MB_MA_T1-S; MB_MA_T2_end; MB_MA_T2-W_start; MB_MA_T3_end; MB_MA_T3-W; MB_MA_T4_end; MB_MA_T4-S_start; MB_MA_T5_end; MB_MA_T5_start; MB_MO_T21-E_start; MB_MO_T21-W_end; MB_MO_T2-N_end; MB_MO_T2-S_start; MB_MO_T30_end; MB_MO_T30_start; MB_MO_T3-E_end; MB_MO_T3-W_start; MB_MO_T4_end_B2; MB_MO_T4-E_start_B20; MB_MO_T4-E_start_B5; MB_MO_T4-W_end_B19; MB_MO_T5_end; MB_MO_T5-E_start; MB_MO_T6-E_end; MB_MO_T6-W_start; MB_MO_T8-N_start; MB_MO_T8-S_end; MB_MO_T9_end; MB_MO_T9_start; MB_WA_T3-E; MB_WA_T3-W; MB_WA_T4-E; MB_WA_T4-W; MB_WA_T5-E; MB_WA_T5-W; MB_WA_T6-E; MB_WA_T6-W; MB_WA_TW1-E; MB_WA_TW1-W; MO_T2-S; MO_T30-E; MO_T3-E; MO_T3-W; MO_T4-E; MO_T5-E; MO_T6-W; MO_T9-S; Moreton Bay, Amity Point; Moreton Bay, Cleveland; Moreton Bay, Lota; Moreton Bay, Myora Springs; Moreton Bay, North Deception Bay; Moreton Bay, Port of Brisbane; Moreton Bay, Wellington; NDB.1; NDB.2; NDB.3; NDB.4; NDB.5; NDB.6; PoB.1; PoB.2; PoB.3; PoB.4; PoB.5; PoB.6; Sampling by diver; see Samper-Villarreal et al. (2016); Syringodium isoetifolium, area; Syringodium isoetifolium, biomass, dry mass; Syringodium isoetifolium, length; Syringodium isoetifolium, shoots; Syringodium isoetifolium, width; T2_Starbug-1; T2_Starbug-2; T2_Starbug-3; W.1; W.2; W.3; W.4; W.5; W.6; WA_T4-W; WA_T5-N; WW_TT1; WW_TT10; WW_TT11; WW_TT2; WW_TT3; WW_TT4; WW_TT5; WW_TT6; WW_TT7; WW_TT8; WW_TT9; Zostera muelleri, area; Zostera muelleri, biomass, dry mass; Zostera muelleri, length; Zostera muelleri, shoots; Zostera muelleri, width
    Type: Dataset
    Format: text/tab-separated-values, 7333 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-02-14
    Keywords: Amity_Point; Australia; Beachmere; Boondall_Wetlands; Date/Time of event; Date/Time of event 2; Digital thermometer, EUTECH, EcoScan; Event label; Godwin_Beach; HEIGHT above ground; Latitude of event; Longitude of event; MON; Monitoring; Site; South_Stradbroke; Temperature, air; Transect; Wynnum_Wetlands
    Type: Dataset
    Format: text/tab-separated-values, 162 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-02-14
    Keywords: Amity_Point; Australia; Beachmere; Boondall_Wetlands; Event label; Godwin_Beach; MON; Monitoring; Sample ID; Site; Size fraction; South_Stradbroke; Transect; Wynnum_Wetlands
    Type: Dataset
    Format: text/tab-separated-values, 16848 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-02-14
    Description: Mangrove ecosystems across the globe face degradation due to severe climatic events, resulting in the formation of standing dead stems known as 'ghost forests'. This research project aimed to characterise the environmental parameters within mangrove ghost forests but also to ascertain their potential to support seagrass survival. Data was collected in three habitats (mangrove ghost forests, live mangroves and seagrass) at each of six study sites within Moreton Bay (Quandamooka), Queensland. Field data collection encompassed variables including air temperature, sea temperature, sediment grain composition, canopy coverage, turbidity, fetch length, and wave height (from north, north-east, and south-east directions). Additionally, within the ghost forests and live mangrove plots, data were gathered regarding stem density, diameter at breast height, the presence of seagrass wrack, presence of seagrass, the extent of seagrass coverage, and the specific species of seagrass. For the seagrass transects, data were gathered on seagrass presence, coverage, and species composition. The data collection process entailed three replicate plots within both the ghost forests and live mangrove forests, along with three replicate transects measuring 50 meters each within the seagrass meadows. This dataset shows that seagrass has colonised mangrove ghost forests and may be used to better characterise conditions within ghost forests. Data may be of interest to researchers in marine science, wetland ecology or restoration.
    Keywords: ecosystem transitions; ghost forest; mangroves; Moreton Bay; Seagrass; sea-level rise
    Type: Dataset
    Format: application/zip, 7 datasets
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-02-14
    Keywords: Amity_Point; Australia; Beachmere; Boondall_Wetlands; Date/Time of event; Event label; Godwin_Beach; Latitude of event; Longitude of event; MON; Monitoring; POINT DISTANCE from start; Quadrat number; Seagrass, cover; Site; South_Stradbroke; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Species dominance; Wynnum_Wetlands
    Type: Dataset
    Format: text/tab-separated-values, 2011 data points
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2024-02-14
    Keywords: Amity_Point; Australia; Beachmere; Boondall_Wetlands; Date/Time of event; Date/Time of event 2; DEPTH, water; Event label; Godwin_Beach; Latitude of event; Longitude of event; MON; Monitoring; Site; South_Stradbroke; Turbidity (Nephelometric turbidity unit); Water-quality probe, YSI and Horiba2000; Wynnum_Wetlands
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-02-14
    Keywords: Amity_Point; Australia; Beachmere; Boondall_Wetlands; Date/Time of event; Event label; Godwin_Beach; Latitude of event; Longitude of event; MON; Monitoring; Site; South_Stradbroke; Transect; Trees, canopy cover; Wynnum_Wetlands
    Type: Dataset
    Format: text/tab-separated-values, 324 data points
    Location Call Number Limitation Availability
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