Use of Bayesian analysis with individual-based modeling to project outcomes of coral restoration
Authored by Caryl S Benjamin, Andalus T Punongbayan, Cruz Dexter W dela, Ronald D Villanueva, Maria Vanessa B Baria, Helen T Yap
Date Published: 2017
DOI: 10.1111/rec.12395
Sponsors:
Department of Science and Technology of the Republic of the Philippines
Platforms:
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Model Documentation:
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Abstract
Various approaches to coral restoration have been developed to help
increase rate of reef recovery from perturbations, among the most common
of which is coral transplantation. Success is often evaluated based on
short-term observations that capture only the initial phase of space
colonization by coral transplants. Here, an individual-based model is
developed to quantify uncertainty in future trajectories in experimental
plots given past observations. Empirical data were used to estimate
probabilistic growth, survival, and fission rates of Acropora pulchra
and A. intermedia (order Scleractinia) in a sandy reef flat (Bolinao, Philippines). Simulations were initialized with different densities (25
or 50 transplants per species per 16m(2)) to forecast possible coral
cover trajectories over a 5-year period. Given current conditions, there
is risk of local extinction which is higher in low-density plots for
both species, and higher for A. intermedia compared to A. pulchra
regardless of density. While total coral cover is projected to increase, species composition in the future is more likely to be highly uneven.
The model was used to quantify effect on recovery rate of protection
from pulse anthropogenic disturbances, given different initial
transplantation densities. When monitoring data are limited in time, stochastic models may be used to assess whether the restoration
trajectory is heading toward the desired state and at what rate, and
foresee system response to various adaptive interventions.
Tags
Simulation
Diversity
Validation
Community
ecology
sensitivity
growth
Transplantation
Complex-systems
Reef-building corals
Acropora
Coral community trajectory
Pulse anthropogenic disturbance
Stochastic uncertainty