Data

Subtidal seagrass distribution, 1994 - 1995 (MTSRF-1-1-5, AIMS, Source: QDPI-F)

Australian Ocean Data Network
Coles, Rob, Dr ; McKenzie, Len, Mr ; De'ath, Glenn, Dr
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://catalogue-aodn.prod.aodn.org.au/geonetwork/srv/eng/search?uuid=47c1c401-3c3d-452d-8c40-b17410dcc12a&rft.title=Subtidal seagrass distribution, 1994 - 1995 (MTSRF-1-1-5, AIMS, Source: QDPI-F)&rft.identifier=http://catalogue-aodn.prod.aodn.org.au/geonetwork/srv/eng/search?uuid=47c1c401-3c3d-452d-8c40-b17410dcc12a&rft.description=Pattern of seagrass distribution in the Great Barrier Reef World Heritage Area Seagrasses in waters deeper than 15m in the Great Barrier Reef World Heritage Area adjacent to the Queensland coast were surveyed using a camera and dredge towed for 4-6 minutes at 1,429 sites spanning from 10ºS to 25ºS and from inshore out to the reef edge up to 120nm from the coast. At each site seagrass presence, species and biomass were recorded together with depth, sediment, sechii, algae and epibenthos, and proximity to reefs. Seagrasses in this region extend down to 60 m water depths and are difficult to map other than by generating distributions from point source data. Statistical modelling of the seagrass distribution suggests 40,000 km^2 of the bottom has a probability of some seagrass being present. There is strong spatial variability driven in part by the constraint of the Great Barrier Reef’s long, thin shape and physical processes associated with the land and ocean. We map the four main species, Halophila ovalis, H. spinulosa, H. decipiens, and H. tricostata. Distributions of H. ovalis and H. spinulosa show strong depth and sediment effects, whereas H. decipiens, and H. tricostata are only weakly correlated with environmental variables but show strong spatial patterns. Distributions of all species are correlated most closely with depth and the proportion of medium sized sediment. As part of the Reef Atlas project (now the eAtlas) the seagrass observations were interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models with a Quasibinomial fit. This produced a gridded version of the dataset and is available as a KML and ASCII grid file. Data Units: Probability of occurrence (0 to 1).&rft.creator=Coles, Rob, Dr &rft.creator=McKenzie, Len, Mr &rft.creator=De'ath, Glenn, Dr &rft.date=2015&rft.coverage=151.083984375,-24.521484375 153.80859375,-24.521484375 153.45703124999997,-20.830078125 147.12890625,-17.490234374999986 145.810546875,-13.798828125 144.4921875,-12.83203125 144.228515625,-9.84375 142.119140625,-9.931640625 142.3828125,-11.77734375 143.61328125000003,-14.765625 144.755859375,-14.94140625 146.337890625,-19.599609375 148.447265625,-21.005859375 151.083984375,-24.521484375&rft_rights=Copyright remains with the data owner(s).&rft_subject=biota&rft_subject=marine&rft.type=dataset&rft.language=English Access the data

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Brief description

Pattern of seagrass distribution in the Great Barrier Reef World Heritage Area

Seagrasses in waters deeper than 15m in the Great Barrier Reef World Heritage Area adjacent to the Queensland coast were surveyed using a camera and dredge towed for 4-6 minutes at 1,429 sites spanning from 10ºS to 25ºS and from inshore out to the reef edge up to 120nm from the coast. At each site seagrass presence, species and biomass were recorded together with depth, sediment, sechii, algae and epibenthos, and proximity to reefs. Seagrasses in this region extend down to 60 m water depths and are difficult to map other than by generating distributions from point source data. Statistical modelling of the seagrass distribution suggests 40,000 km^2 of the bottom has a probability of some seagrass being present. There is strong spatial variability driven in part by the constraint of the Great Barrier Reef’s long, thin shape and physical processes associated with the land and ocean. We map the four main species, Halophila ovalis, H. spinulosa, H. decipiens, and H. tricostata. Distributions of H. ovalis and H. spinulosa show strong depth and sediment effects, whereas H. decipiens, and H. tricostata are only weakly correlated with environmental variables but show strong spatial patterns. Distributions of all species are correlated most closely with depth and the proportion of medium sized sediment.

As part of the Reef Atlas project (now the eAtlas) the seagrass observations were interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models with a Quasibinomial fit. This produced a gridded version of the dataset and is available as a KML and ASCII grid file.


Data Units: Probability of occurrence (0 to 1).

This dataset is part of a larger collection

Click to explore relationships graph

151.08398,-24.52148 153.80859,-24.52148 153.45703,-20.83008 147.12891,-17.49023 145.81055,-13.79883 144.49219,-12.83203 144.22852,-9.84375 142.11914,-9.93164 142.38281,-11.77734 143.61328,-14.76563 144.75586,-14.94141 146.33789,-19.59961 148.44727,-21.00586 151.08398,-24.52148

147.9638671875,-17.1826171875

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Other Information
(Dugongs - eAtlas article)

uri : https://eatlas.org.au/content/dugongs

(Legacy eAtlas Web Mapping Service (WMS) (AIMS))

uri : https://eatlas.org.au/data/uuid/b0cba902-4e15-4d23-a568-e7cd4b201aac

(Seagrass - All species - Google Earth layer [KMZ 147.4 kB])

uri : https://nextcloud.eatlas.org.au/apps/sharealias/a/seagrass-all_species-2-kmz

(Seagrass - All species - ASCII Grid data [Zip 147.4 kB])

uri : https://nextcloud.eatlas.org.au/apps/sharealias/a/seagrass-all_species-zip

Identifiers