Identification of two-phase coral reef recovery patterns
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.
Data and resources
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R Code for Data Processing and Analysis for the Identification of Two-Phase Recovery Patterns using Reef Monitoring DataHTML Open
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Primary and Processed r files .zip size:22.54 MBZIP Open
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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…HTML Open
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audio/basic Open
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License GraphicPNG Open
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Additional information
| Date (revision) | 2026-10-24 |
|---|---|
| Status | completed |
| Update frequency | notPlanned |
| Metadata language | en |
| License | Creative Commons Attribution 4.0 |
| Source metadata | ISO 19115 XML |
| Last updated | 2026-11-05 |
| Created | 2026-11-05 |
| API | package_show |