IMAS Metadata Catalogue
Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998
Approximately 2,362 ±289 km2 of seagrass meadows were mapped in the waters of Hervey Bay and Great Sandy Strait between 6 and 14 December 1998. This was the first comprehensive survey of the Great Sandy region. The survey involved examination of 1,104 field validation points and identified 174 individual meadows. Seagrass extended from the intertidal and shallow subtidal waters to a depth of 32m. Seven species of seagrass were identified (Cymodocea serrulata, Halodule uninervis, Syringodium isoetifolium, Halophila decipiens, Halophila ovalis, Halophila spinulosa and Zostera muelleri) within 22 seagrass meadow/community types. Mapping survey methodologies followed standardised global seagrass research methods for intertidal, shallow subtidal (2‐10m depth) and deep waters (>10m) using both in situ and remote assessments.
View the original metadata record at https://doi.org/10.1594/PANGAEA.876714.
Simple
Identification info
- Alternate title
- HB_GSS_meadows_Dec1998
- Date (Creation)
- 1999-07-17
- Date (Publication)
- 2023-02-21
Principal investigator
Centre for Tropical Waters and Aquatic Research (TropWATER), James Cook University (JCU) - McKenzie, Len
Seagrass‐Watch HQ
PO Box 6811
Cairns
Queensland
4870
Australia
- Status
- Completed
Point of contact
Centre for Tropical Waters and Aquatic Research (TropWATER), James Cook University (JCU) - McKenzie, Len
Seagrass‐Watch HQ
PO Box 6811
Cairns
Queensland
4870
Australia
- Spatial representation type
- Vector
- Topic category
-
- Biota
Extent
N
S
E
W
))
Temporal extent
- Time period
- 1998-12-06 1998-12-14
Resource format
- Title
- ESRI Shapefile
- Date
- Edition
- -
- Global Change Master Directory (GCMD) Earth Science Keywords Version 8.0
- Keywords (Place)
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- Great Barrier Reef
- Keywords (Theme)
-
- Benthic habitat
- reef
- machine learning
- deep learning
- coastal
Resource specific usage
- Specific usage
- Data supplied for use by the Seamap Australia Project.
- ()
Resource constraints
- Classification
- Unclassified
Resource constraints
- Linkage
-
http://i.creativecommons.org/l/by/4.0/88x31.png
License Graphic
- Title
- Creative Commons Attribution 4.0 International License
- Website
-
http://creativecommons.org/licenses/by/4.0/
License Text
- Other constraints
- Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998. Centre for Tropical Water and Aquatic Ecosystem Research, James Cook University, Townsville, PANGAEA, https://doi.org/10.1594/PANGAEA.876714
- Other constraints
- The original dataset is available at https://doi.org/10.1594/PANGAEA.876714, and has been re-hosted by the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, on behalf of James Cook University (JCU) for the purposes of the Seamap Australia collaborative project.
- Language
- English
- Character encoding
- UTF8
Content Information
- Content type
- Physical measurement
- Description
- Appended to original data for styling purposes for the Seamap Australia Project
- Name
-
Benthic habitat
- Name
-
SM_HAB_CLS
Distribution Information
- Distribution format
-
-
ESRI Shapefile
-
ESRI Shapefile
- OnLine resource
-
SHAPE-ZIP
DATA ACCESS - This OGC WFS service returns the data (Hervey Bay seagrass) in Shapefile format.
- OnLine resource
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seamap:SeamapAus_QLD_HerveyBay_seagrass_1998
MAP - Hervey Bay seagrass
- OnLine resource
-
Original metadata record [PANGAEA catalogue]
Data quality info
- Hierarchy level
- Dataset
Report
Result
- Statement
- Ranks of mapping quality for seagrass meadows mapped in Hervey Bay and the Great Sandy Strait. Map Quality | Data sets | Comments 1 | In situ field validation (incl.dive survey) | Detailed checking of meadow boundary during in situ surveys. Error = 7.5 m. 2 | Aerial photos + in situ field validation (incl. dive survey) | Detailed checking of meadow boundary during in situ field validation. Images and photos of high resolution Error = 10 m. 3 | Aerial photos + in situ field validation (incl. dive survey) | Some meadow boundaries checked, and several transects during in situ field validation. Images and photos of high resolution. Error = 15 to 100 m. 4 | Dive survey only | Limited image or photo available at required resolution. Some meadow boundaries checked during field validation. Error = 20 m. 5 | Dive survey only | Subtidal meadows not visible in remote‐sensing images. Data densities generally low and reliant solely on dive survey. Error = 30 m. 6 | Aerial photos| Photos of suitable resolution. Some meadow boundaries checked during field validation. No dive survey. Error = 25 to 50 m. 7 | Towed realtime underwater camera | Deepwater meadows not visible in remote‐sensing images. Data densities low and reliant solely
Resource lineage
- Statement
- Mapping survey methodologies followed standardised global seagrass research methods (McKenzie et al. 2001a, bit.ly/2t7U4M4) using both in situ and remote assessments. Within intertidal and shallow subtidal waters (2-10m depth), observers walked or free-dived to assess survey points. Seagrass habitat characteristics including visual estimates of above-ground percentage cover or biomass (3 replicates of a 50cm x 50cm quadrat) and species composition were recorded at each point according to standard methodologies (McKenzie et al. 2001b, bit.ly/2t5SWsK; McKenzie et al. 2014, bit.ly/2rN4EUN). Water depth and visual/tactile description of sediment were also recorded at each survey point. At each deep water point (>10m) a real time video slaved to monitor on-board a vessel was used to record an image of bottom habitat for 4 to 6 minutes of time at drift speed (minimum 100m tow). Data on seagrass species presence and biomass, macro-algae, and sediment description was obtained from post processed video images as per Coles et al. (2009, bit.ly/2s28gXc). In conjunction with each camera tow a sled net and grab sample of the sediment were collected to confirm the taxonomy and sediment characterisation inferred from the video. A differential handheld global positioning system (GPS) was used to locate each survey point (accuracy ±5m). Seagrass meadow boundaries were determined based on the survey point positions and the presence of seagrass, coupled with depth contours and remote sensing (e.g., aerial photography) where available. The meadow boundary accuracy varied from 5m to 1,200m. The resulting polygon data of each seagrass meadow was saved as an ArcMap shapefile and projected to AGD94. -----DATA DICTIONARY----- MDW_ID unique meadow ID MEADOW description of meadow based on seagrass species present, seagrass abundance and sediment type (visual/tactile description of sediment). Nomenclature used: Species A = Species A is 100% of composition; Species A with Species B = Species A is 60% of composition; Species A with Species B/Species C = Species A is 50% of composition; Species A/Species B = Species A is 50% ‐ 60% of composition. Species listed below. BIOMASS mean visual estimate of above ground seagrass standing crop (all species pooled) expressed in grams dry weight (g DW m‐2 ) +/‐ standard error PERCNT_CVR mean or percentage range (%) of the substrate covered by seagrass (all species pooled) AREA area of polygon in km2 for each seagrass meadow with error (±) estimate of Reliability (based on positional accuracy) ALGAE mean percentage (%) of the substrate covered by macroalgae (all species pooled) (range) ALGAL_SPP description of macroalgae type and / or genus. Species from Cribb (1996, bit.ly/2rMG5Y1). DEPTH mean water depth (range) (m) QUALITY A rank system for mapping quality based on the range of mapping information available for each area (see Table 1). A mapping quality rank of 1 is the highest (most accurate). RELIABILIT An ‘estimate of reliability’ (R) of the areal extent (km2) of each meadow was also calculated based on the errors associated with GPS fixes for survey points and digitising/rectifying the aerial photograph. Estimates of reliability in mapping meadow boundaries ranged from 7.5 m to 1,200 m. CS mean visual estimate of above ground biomass (g DW m‐2) of Cymodocea serrulata (broad strap‐like leaf, leaftip rounded with serrated edge and attached to rhizome by a stem (www.seagrasswatch.org/id_seagrass.html#IDCS1)) HD mean visual estimate of above ground biomass (g DW m‐2) of Halophila decipiens (oblong leaf, 6‐8 cross veins, leaf hairs on both sides (www.seagrasswatch.org/id_seagrass.html#IDHD1)) HO mean visual estimate of above ground biomass (g DW m‐2) of Halophila ovalis (paired oval to oblong leaves, leaf margins smooth, 8 or more cross veins, no leaf hairs (www.seagrasswatch.org/id_seagrass.html#IDHO1)) HS mean visual estimate of above ground biomass (g DW m‐2) of Halophila spinulosa (errect shoots with oblong shaped leaves arranged in opposite pairs (www.seagrasswatch.org/id_seagrass.html#IDHS1)) HU mean visual estimate of above ground biomass (g DW m‐2) of Halodule uninervis (strap‐like leaf with stem, leaf tip tri‐ dentate (www.seagrasswatch.org/id_seagrass.html#IDHU1)) SI mean visual estimate of above ground biomass (g DW m‐2) of Syringodium isoetifolium (cylindrical spaghetti shaped leaves, 7‐30cm long, pointed tip (www.seagrasswatch.org/id_seagrass.html#IDSI1)) ZM mean visual estimate of above ground biomass (g DW m‐2) of Zostera muelleri (strap‐like leaves with 5 longitudinal veins arising directly from rhizome, smooth rounded leaf tip (www.seagrasswatch.org/id_seagrass.html#IDZC1))
- Hierarchy level
- Dataset
Metadata
- Metadata identifier
-
urn:uuid/4d93135e-6f88-460b-be8e-9585e14c326f
- Language
- English
- Character encoding
- UTF8
Point of contact
- Parent metadata
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/4d93135e-6f88-460b-be8e-9585e14c326f
Point of truth URL of this metadata record
- Date info (Creation)
- 2020-09-23T12:36:21
- Date info (Revision)
- 2024-07-05T21:47:22
Metadata standard
- Title
- ISO 19115-3:2018
Overviews
tropwater.jpg
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available