Data

Identification of two-phase coral reef recovery patterns

Australian Ocean Data Network
Australian Institute of Marine Science (AIMS) ; Australian Institute of Marine Science (AIMS) and Queensland University of Technology (QUT)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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Data driven simulation studies are performed to determine the impact of the two-phase recovery under different disturbance frequency regimes.Maintenance and Update Frequency: notPlannedStatement: For details on the Long Term Monitoring Program and Marine Monitoring Program data collection protocols, see the collection of Standard Operational procedures at https://www.aims.gov.au/docs/research/monitoring/reef/sops.html&rft.creator=Australian Institute of Marine Science (AIMS) &rft.creator=Australian Institute of Marine Science (AIMS) and Queensland University of Technology (QUT) &rft.date=2024&rft.coverage=westlimit=152.4797167; southlimit=-21.97581667; eastlimit=152.4797167; northlimit=-21.97581667&rft.coverage=westlimit=152.4797167; southlimit=-21.97581667; eastlimit=152.4797167; northlimit=-21.97581667&rft.coverage=westlimit=151.0704667; southlimit=-23.15748333; eastlimit=151.0704667; northlimit=-23.15748333&rft.coverage=westlimit=151.0704667; southlimit=-23.15748333; eastlimit=151.0704667; 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While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS) and Queensland University of Technology (QUT). (2021). Identification of two-phase coral reef recovery patterns. https://doi.org/10.25845/ad6j-zm19, accessed[date-of-access].&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
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http://creativecommons.org/licenses/by/3.0/au

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http://creativecommons.org/international/au/

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WWW:LINK-1.0-http--related

License Text

Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS) and Queensland University of Technology (QUT). (2021). Identification of two-phase coral reef recovery patterns. https://doi.org/10.25845/ad6j-zm19, accessed[date-of-access]".

Access:

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Brief description

This dataset is used to identify two-phase recovery patterns. These patterns result in a period of slow recovery following a major disturbance (coral cover reduced to < 10%), and has serious implications for the potential of reef recovery if major disturbances occur at a frequency of 5 years or less. The coral cover data is extracted from the LTMP and MMP at the transect level, recovery trajectories are identified according statistically significant (p < 0.05) declines using a paired t-test between subsequent surveys. Two-phase recoveries are identified through estimating the recovery rate per unit cover, coupled with a two-segment regression with change-point detection. Data driven simulation studies are performed to determine the impact of the two-phase recovery under different disturbance frequency regimes.

Lineage

Maintenance and Update Frequency: notPlanned
Statement: For details on the Long Term Monitoring Program and Marine Monitoring Program data collection protocols, see the collection of Standard Operational procedures at https://www.aims.gov.au/docs/research/monitoring/reef/sops.html

Notes

Credit
ARC Discovery Projects, DP200100177, Australian Research Council, Australia
Credit
Thompson, AA. (QUT)
Credit
Wu, P. (QUT)
Credit
Ortiz, J-C. (AIMS)
Credit
Warne, DJ. Queensland University of Technology (QUT), Brisbane, Australia
Credit
Jin, W. University of New South Wales (UNSW), Sydney, Australia
Credit
Osborne, K. (AIMS)
Credit
Simpson, MJ. (QUT)
Credit
Crossman, KA. Australian Institute of Marine Science (AIMS), Townsville, Australia
Credit
Mengersen, K. (QUT)
Credit
ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), CE140100049, Australian Research Council, Australia

Modified: 09 08 2024

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Subjects
oceans |

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Other Information
R Code for Data Processing and Analysis for the Identification of Two-Phase Recovery Patterns using Reef Monitoring Data

uri : https://github.com/davidwarne/Identification-two-phase-recovery

Primary and Processed r files .zip [size:22.54 MB]

uri : https://api.aims.gov.au/data-v2.0/47e739c9-f535-45f6-a4c1-46b85681828c/files/data.zip

David J Warne, Kerryn A. Crossman, Wang Jin, Kerrie Mengersen, Kate Osborne, Matthew J. Simpson, Angus A. Thompson, Paul Wu, and Juan-C. Ortiz. Identification of two-phase recovery for interpretation of reef monitoring data. Journal of Applied Ecology, https://doi.org/10.1111/1365-2664.14039

doi : https://doi.org/10.1111/1365-2664.14039

Identifiers
  • global : 47e739c9-f535-45f6-a4c1-46b85681828c