GLORIA

GEOMAR Library Ocean Research Information Access

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Document type
Keywords
Publisher
Years
  • 1
    facet.materialart.
    Unknown
    Benthic cover map of Heron Reef derived from a high-spatial-resolution multi-spectral satellite image using object based image analysis (2012)
    PANGAEA
    In:  Supplement to: Phinn, Stuart R; Roelfsema, Christiaan M; Mumby, Peter John (2012): Multi-scale, object-based image analysis for mapping geomorphic and ecological zones on coral reefs. International Journal of Remote Sensing, 33(12), 3768-3797, https://doi.org/10.1080/01431161.2011.633122
    Details
    Publication Date: 2023-01-13
    Description: Providing accurate maps of coral reefs where the spatial scale and labels of the mapped features correspond to map units appropriate for examining biological and geomorphic structures and processes is a major challenge for remote sensing. The objective of this work is to assess the accuracy and relevance of the process used to derive geomorphic zone and benthic community zone maps for three western Pacific coral reefs produced from multi-scale, object-based image analysis (OBIA) of high-spatial-resolution multi-spectral images, guided by field survey data. Three Quickbird-2 multi-spectral data sets from reefs in Australia, Palau and Fiji and georeferenced field photographs were used in a multi-scale segmentation and object-based image classification to map geomorphic zones and benthic community zones. A per-pixel approach was also tested for mapping benthic community zones. Validation of the maps and comparison to past approaches indicated the multi-scale OBIA process enabled field data, operator field experience and a conceptual hierarchical model of the coral reef environment to be linked to provide output maps at geomorphic zone and benthic community scales on coral reefs. The OBIA mapping accuracies were comparable with previously published work using other methods; however, the classes mapped were matched to a predetermined set of features on the reef.
    Keywords: Description; File format; File size; Heron_Reef; Heron Reef, Great Barrier Reef, Queensland; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Source data for Plos ONE publication Redefining thermal regimes to design reserves for coral reefs in the face of climate change (2014)
    PANGAEA
    In:  Supplement to: Chollett, Iliana; Enríquez, Susana; Mumby, Peter John: Redefining thermal regimes to design reserves for coral reefs in the face of climate change. PLoS ONE, https://doi.org/10.1371/journal.pone.0110634
    Details
    Publication Date: 2023-01-13
    Description: Reef managers cannot fight global warming through mitigation at local scale, but they can use information on thermal patterns to plan for reserve networks that maximize the probability of persistence of their reef system. Here we assess previous methods for the design of reserves for climate change and present a new approach to prioritize areas for conservation that leverages the most desirable properties of previous approaches. The new method moves the science of reserve design for climate change a step forwards by: (1) recognizing the role of seasonal acclimation in increasing the limits of environmental tolerance of corals and ameliorating the bleaching response; (2) including information from several bleaching events, which frequency is likely to increase in the future; (3) assessing relevant variability at country scales, where most management plans are carried out. We demonstrate the method in Honduras, where a reassessment of the marine spatial plan is in progress.
    Keywords: Caribbean; File content; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Morphometrics of seagrasses at species level, Moreton Bay, Australia determined from core samples collected in 2012-2013 (2016)
    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
    Details
    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
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Interactions among chronic and acute impacts on coral recruits: the importance of size-escape thresholds (2012)
    PANGAEA
    In:  Supplement to: Doropoulos, Christopher; Ward, Selina; Marshell, Alyssa; Diaz-Pulido, Guillermo; Mumby, Peter John (2012): Interactions among chronic and acute impacts on coral recruits: the importance of size-escape thresholds. Ecology, 93(10), 2131-2138, https://doi.org/10.1890/12-0495.1
    Details
    Publication Date: 2024-03-15
    Description: Newly settled recruits typically suffer high mortality from disturbances, but rapid growth reduces their mortality once size-escape thresholds are attained. Ocean acidification (OA) reduces the growth of recruiting benthic invertebrates, yet no direct effects on survivorship have been demonstrated. We tested whether the reduced growth of coral recruits caused by OA would increase their mortality by prolonging their vulnerability to an acute disturbance: fish herbivory on surrounding algal turf. After two months' growth in ambient or elevated CO2 levels, the linear extension and calcification of coral (Acropora millepora) recruits decreased as CO2 partial pressure (pCO2) increased. When recruits were subjected to incidental fish grazing, their mortality was inversely size dependent. However, we also found an additive effect of pCO2 such that recruit mortality was higher under elevated pCO2 irrespective of size. Compared to ambient conditions, coral recruits needed to double their size at the highest pCO2 to escape incidental grazing mortality. This general trend was observed with three groups of predators (blenny, surgeonfish, and parrotfish), although the magnitude of the fish treatment varied among species. Our study demonstrates the importance of size-escape thresholds in early recruit survival and how OA can shift these thresholds, potentially intensifying population bottlenecks in benthic invertebrate recruitment.
    Keywords: Acropora millepora; Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Cnidaria; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Diameter; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Identification; Laboratory experiment; Mass; Number; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Potentiometric; Potentiometric titration; Salinity; Single species; South Pacific; Species; Temperature, water; Temperature, water, standard deviation; Treatment; Tropical
    Type: Dataset
    Format: text/tab-separated-values, 43790 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...