Abstract

Underwater photogrammetry has been increasingly used in coral-reef research in recent years. Habitat metrics extracted from resulting three-dimensional (3D) reconstructions can be used to examine associations between the structural complexity of the reef habitats and the distribution of reef organisms. We created simulated 3D models of bare surface structures and 3D reconstructions of coral morphologies to investigate the behavior of various habitat metrics that were extracted from both Digital Elevation Models (DEMs) and 3D mesh models. Analyzing the resulting values provided us with important insights into how these metrics would compare with one another in the characterization of coral-reef habitats. Surface complexity (i.e., reef rugosity), fractal dimension extracted from DEMs and vector dispersion obtained from 3D mesh models exhibited consistent patterns in the ranking of structural complexity among the simulated bare surfaces and coral morphologies. The vector ruggedness measure obtained from DEMs at three different resolutions of 1, 2, and 4 cm effectively captured differences in the structural complexity among different coral morphologies. Profile curvature and planform curvature, on the other hand, were better suited to capture the structural complexity derived from surface topography such as walls and overhanging ledges. Our results indicate that habitat metrics extracted from DEMs are generally suitable when characterizing a relatively large plot of a coral reef captured from an overhead planar angle, while the 3D metric of vector dispersion is suitable when characterizing a coral colony or a relatively small plot methodically captured from various angles.

Highlights

  • Underwater photogrammetry has been increasingly used in coral-reef surveys in recent years [1,2,3,4,5]

  • The present study examined multiple habitat metrics obtained in 2.5D and in 3D

  • The consistency in the behavior of the 2.5D metrics of surface complexity and FDDEM and the 3D metric of vector dispersion offers options for habitat metrics that are useful for studying structural features on coral reefs

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Summary

Introduction

Underwater photogrammetry has been increasingly used in coral-reef surveys in recent years [1,2,3,4,5]. Habitat metrics are important variables in coral-reef ecology as they affect the abundance and distribution of reef organisms including fishes [6,13,14] These metrics can be extracted from a 3D model by rasterizing it onto a 2D plane and generating a 2.5-dimensional (2.5D) Digital Elevation Model (DEM). Fractal dimension, which combines information obtained at various spatial scales and describes the irregularity of an object, can be determined either by changing the resolution of a DEM and measuring the 3D surface area at each of the resolutions [18,19] or by calculating the mean ranges in elevation values at different observational scales [20] Each of these metrics possesses unique properties, it is important to examine precisely how the metrics respond to changes in the geometry of habitat to interpret 3D habitat structure properly

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