Data

Bicheno region urchin barrens from AUV imagery

University of Tasmania, Australia

Perkins, Nicholas ; Barrett, Neville

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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25959/5f14f5f0f340f&rft.title=Bicheno region urchin barrens from AUV imagery&rft.identifier=10.25959/5f14f5f0f340f&rft.description=This data set consists of a scored time-series of Autonomous Underwater Vehicle (AUV) images from the Bicheno region on the east coast of Tasmania. Surveys were conducted between 2011 and 2016 within the Governor Island Marine Reserve and nearby sites outside the reserve. Governor Island was surveyed in 2011, 2013, 2014 and 2016. The outside sites of Trap Reef, Cape Lodi and Butlers Point were surveyed in 2011, 2013 and 2016. Imagery across all surveys was scored for the presence of Centrostephanus rodgersii urchin barrens across rocky reef at each site. Prior to analysis the data was subsetted to every fifth image to avoid overlapping images. The data set also contains depth information for each image and a measure of rugosity (Vector Rugosity Measure) computed in ArcGIS software from a one metre resolution bathymetric map covering the survey sites. Analysis was conducted to examine the trend in the presence of barrens through time and to compare the occurrence of barrens inside the Governor Island Marine Reserve with sites outside the reserve. A spatio-temporal model incorporating both spatial and temporal correlation in the time-series of data was used. This data set contains the scored data used in the analysis. Further details of the methods used and results are contained in the following article. Please cite any use of the data or code by citing this article: Perkins NR, Hosack GR, Foster SD, Monk J, Barrett NS (2020) Monitoring the resilience of a no-take marine reserve to a range extending species using benthic imagery. PLOS ONE 15(8): e0237257. https://doi.org/10.1371/journal.pone.0237257Maintenance and Update Frequency: notPlannedStatement: Benthic imagery collected by the AUV Sirius.&rft.creator=Perkins, Nicholas &rft.creator=Barrett, Neville &rft.date=2020&rft.coverage=westlimit=148.290893555; southlimit=-41.9753637545; eastlimit=148.403503418; northlimit=-41.8404562694&rft.coverage=westlimit=148.290893555; southlimit=-41.9753637545; eastlimit=148.403503418; northlimit=-41.8404562694&rft.coverage=uplimit=45; downlimit=2&rft.coverage=uplimit=45; downlimit=2&rft_rights=The data described in this record are the intellectual property of the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS), and is hosted on behalf of NESP Marine Biodiversity Hub Project D3.&rft_rights=Data was sourced from the NESP Marine Biodiversity Hub – the Marine Biodiversity Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of the Environment (DOE).&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_rights=http://i.creativecommons.org/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=Cite data as: Perkins, N & Barrett, N. (2020). Bicheno region urchin barrens from AUV imagery. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). doi:doi.org/10.25959/5f14f4a5f340e&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=biota&rft_subject=climate change&rft_subject=marine protected areas&rft_subject=marine reserves&rft_subject=ecosystem resilience&rft_subject=benthic imagery&rft_subject=autonomous underwater vehicle&rft_subject=Centrostephanus rodgersii&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOLOGICAL DYNAMICS | COMMUNITY DYNAMICS | INVASIVE SPECIES&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | BENTHIC&rft_subject=EARTH SCIENCE | AGRICULTURE | AGRICULTURAL AQUATIC SCIENCES | FISHERIES&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | COASTAL&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | REEF&rft_subject=EARTH SCIENCE SERVICES | ENVIRONMENTAL ADVISORIES | MARINE ADVISORIES | MARINE BIOLOGY&rft_subject=EARTH SCIENCE SERVICES | MODELS | CLIMATE CHANGE IMPACT ASSESSMENT MODELS&rft_subject=EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/INVERTEBRATES | ECHINODERMS | SEA URCHINS&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | COASTAL | KELP FOREST&rft_subject=Temperate Reef&rft_subject=Depth&rft_subject=Vector rugosity measure&rft_subject=Marine protected area status&rft.type=dataset&rft.language=English Access the data

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http://creativecommons.org/licenses/by/4.0/

Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0

The data described in this record are the intellectual property of the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS), and is hosted on behalf of NESP Marine Biodiversity Hub Project D3.

Data was sourced from the NESP Marine Biodiversity Hub – the Marine Biodiversity Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of the Environment (DOE).

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License Text

Cite data as: Perkins, N & Barrett, N. (2020). Bicheno region urchin barrens from AUV imagery. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). doi:doi.org/10.25959/5f14f4a5f340e

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Brief description

This data set consists of a scored time-series of Autonomous Underwater Vehicle (AUV) images from the Bicheno region on the east coast of Tasmania. Surveys were conducted between 2011 and 2016 within the Governor Island Marine Reserve and nearby sites outside the reserve. Governor Island was surveyed in 2011, 2013, 2014 and 2016. The outside sites of Trap Reef, Cape Lodi and Butlers Point were surveyed in 2011, 2013 and 2016. Imagery across all surveys was scored for the presence of Centrostephanus rodgersii urchin barrens across rocky reef at each site. Prior to analysis the data was subsetted to every fifth image to avoid overlapping images. The data set also contains depth information for each image and a measure of rugosity (Vector Rugosity Measure) computed in ArcGIS software from a one metre resolution bathymetric map covering the survey sites. Analysis was conducted to examine the trend in the presence of barrens through time and to compare the occurrence of barrens inside the Governor Island Marine Reserve with sites outside the reserve. A spatio-temporal model incorporating both spatial and temporal correlation in the time-series of data was used. This data set contains the scored data used in the analysis. Further details of the methods used and results are contained in the following article. Please cite any use of the data or code by citing this article: Perkins NR, Hosack GR, Foster SD, Monk J, Barrett NS (2020) Monitoring the resilience of a no-take marine reserve to a range extending species using benthic imagery. PLOS ONE 15(8): e0237257. https://doi.org/10.1371/journal.pone.0237257

Lineage

Maintenance and Update Frequency: notPlanned

Statement: Benthic imagery collected by the AUV Sirius.

Notes

Credit
Integrated Marine Observing System (IMOS)

Credit
National Environmental Science Program (NESP) Marine Biodiversity Hub

Credit
Geoscience Australia

Data time period: 2011-06-18 to 2016-10-14

This dataset is part of a larger collection

Click to explore relationships graph

text: westlimit=148.290893555; southlimit=-41.9753637545; eastlimit=148.403503418; northlimit=-41.8404562694

text: uplimit=45; downlimit=2

Subjects

User Contributed Tags

Other Information

(DATA ACCESS - urchin barren scoring from AUV imagery [CSV download])

uri : https://data.imas.utas.edu.au/attachments/d29fa59e-203f-42a8-b0a7-cf77fde7b88a/All_barrens_fifthimg.csv External Link

(ANALYSIS CODE - R-INLA code to run the analyses outlined In Perkins et al. (2020) [readme included in file])

uri : https://data.imas.utas.edu.au/attachments/d29fa59e-203f-42a8-b0a7-cf77fde7b88a/INLA_Barrens_PLOSOnePub.R External Link

global : 6fc86902-d98d-4ae4-b7f2-00e5b831bb88

Identifiers

DOI : 10.25959/5F14F4A5F340E
DOI : 10.25959/5F14F5F0F340F
global : d29fa59e-203f-42a8-b0a7-cf77fde7b88a
global : a650e314-c426-4845-b6ae-5ff107744fcc

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