Spatial modelling of Acropora muricata and Porites lutea distribution using environmental descriptors across Lakshadweep–Chagos Archipelago

Anakha, M.; Sreenath, K. R.; Joshi, K K; Shelton, Philip C.; Nameer, P. O.

doi:10.1016/j.rsma.2021.101619

Cited by 1 publication

(1 citation statement)

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“…3). The A. palmata model applied 10-fold cross-validation (Anakha et al 2021), with each replicate using a random selection of 900 occurrence points for training and the remaining points for testing, with an average calculated across all models (Rengstorf et al 2013). The environmental conditions at A. palmata occurrence sites were compared to those at 10,000 background sites selected in accordance with the bias file, and linear, quadratic, product, and hinge features were used.…”

Section: Predictive Mapping With Maxentmentioning

confidence: 99%

Habitat suitability models of elkhorn coral provide ecological insight to support coral reef restoration

Yuen

Stuart

Pittman

et al. 2023

Restoration Ecology

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Coral reefs are experiencing unprecedented levels of stress from global warming, ocean acidification, fishing, and water pollution. In the Caribbean and Western Atlantic, multiple stressors have resulted in widespread losses of the dominant reefbuilding Acroporid corals, two of which are listed as threatened species under the 1973 U.S. Endangered Species Act. In response, active coral reef restoration through the outplanting of live corals has become a widespread intervention technique. To increase restoration success, active coral reef restoration requires significant investment and careful planning, and selection of suitable sites for coral outplanting is an essential early step with considerable influence on restoration outcomes. We applied a maximum entropy model to predict and map habitat suitability for the reef-building coral species, Acropora palmata, around the island of St. Croix in the U.S. Virgin Islands. Based mostly on bathymetry and benthic habitat type, the highest performing model predicted approximately 21.75 km 2 of the highest probability of suitable habitat, of which over half occurred within existing marine protected areas (MPAs). Outplanted coral at 60% of sites coincided with predicted maximum habitat suitability index values greater than 0.75 and 35% with values greater than 0.90. The model reveals that all three statutory MPAs with shallow water coral reefs have a considerable area (13.24 km 2 ) of predicted high suitability seabed with potential for active A. palmata restoration efforts. The predictive spatial modeling approach provides a cost-effective tool to inform future coral restoration design and to evaluate the habitat suitability of coral outplanting sites.

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Section: Predictive Mapping With Maxentmentioning

confidence: 99%