PI: Robert Toonen
This study sought to address our fundamental lack of knowledge regarding vulnerable low-light, mesophotic coral ecosystems (at depths of 30-180 m) in order to better manage impacts from invasive species, coastal development, and exploration. By using statistical modeling, combined with machine learning, researchers created predictive maps to illustrate the distribution of mesophotic reefs and invasive algae across the main Hawaiian Islands. They found that all islands had some stretches of coastline identified as highly susceptible to invasion of the green alga Avrainvillea amadelpha, in both shallow and mesophotic depths.
This study sought to address our fundamental lack of knowledge regarding vulnerable low-light, mesophotic coral ecosystems (at depths of 30-180 m) in order to better manage impacts from invasive species, coastal development, and exploration. By using statistical modeling, combined with machine learning, researchers created predictive maps to illustrate the distribution of mesophotic reefs and invasive algae across the main Hawaiian Islands. They found that all islands had some stretches of coastline identified as highly susceptible to invasion of the green alga Avrainvillea amadelpha, in both shallow and mesophotic depths.