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: notPlannedNotes
CreditARC Discovery Projects, DP200100177, Australian Research Council, Australia
Thompson, AA. (QUT)
Wu, P. (QUT)
Ortiz, J-C. (AIMS)
Warne, DJ. Queensland University of Technology (QUT), Brisbane, Australia
Jin, W. University of New South Wales (UNSW), Sydney, Australia
Osborne, K. (AIMS)
Simpson, MJ. (QUT)
Crossman, KA. Australian Institute of Marine Science (AIMS), Townsville, Australia
Mengersen, K. (QUT)
ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), CE140100049, Australian Research Council, Australia
Modified: 13 03 2024
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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
- global : 47e739c9-f535-45f6-a4c1-46b85681828c