Data
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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.0237257Benthic imagery collected by the AUV Sirius.&rft.creator=Perkins, Nicholas &rft.creator=Barrett, Neville &rft.date=2020&rft.coverage=northlimit=-41.8404562694; southlimit=-41.9753637545; westlimit=148.290893555; eastLimit=148.403503418&rft.coverage=northlimit=-41.8404562694; southlimit=-41.9753637545; westlimit=148.290893555; eastLimit=148.403503418&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=INVASIVE SPECIES&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=ECOLOGICAL DYNAMICS&rft_subject=COMMUNITY DYNAMICS&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | BENTHIC&rft_subject=FISHERIES&rft_subject=AGRICULTURE&rft_subject=AGRICULTURAL AQUATIC SCIENCES&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=MARINE BIOLOGY&rft_subject=EARTH SCIENCE SERVICES&rft_subject=ENVIRONMENTAL ADVISORIES&rft_subject=MARINE ADVISORIES&rft_subject=CLIMATE CHANGE IMPACT ASSESSMENT MODELS&rft_subject=MODELS&rft_subject=SEA URCHINS&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=ANIMALS/INVERTEBRATES&rft_subject=ECHINODERMS&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

Licence & Rights:

Open Licence view details
CC-BY

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

Access:

Open

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

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

148.4035,-41.84046 148.4035,-41.97536 148.29089,-41.97536 148.29089,-41.84046 148.4035,-41.84046

148.3471984865,-41.90791001195

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

(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

Identifiers