3D coral forms: Structural complexity descriptor and potential predictor of fish abundance
College
College of Science
Department/Unit
Biology
Document Type
Conference Proceeding
Source Title
OCEANS 2021: San Diego–Porto
First Page
1
Last Page
6
Publication Date
2021
Abstract
A method was introduced to extract coral reef structural complexity components that correspond with the ree’s capacity to harbor fish from time series structure-from-motion (SFM) three-dimensional (3D) models of underwater reef images. These components were correlated with coral morphology to explore its description as a structural complexity component. The images used for the 3D models were captured during the annual or bi-annual monitoring in Lian, Batangas, Philippines from 2009 to 2019. The method’s novelty is its repurposing of data that were primarily captured using the photo transect method with different cameras at variable water conditions and very limited number of images per data collection. Previous methods on structural complexity measurements were manually obtained and therefore spatially limited, while SFM 3D models, though offering a broader spatial scale, have only been applied to recently collected datasets. Results show a high correlation among complexity components and with morphological forms. Increasing complexity and morphology correspond to increasing abundance on some fish families, which may reflect fish refuge potential.
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Recommended Citation
Dagum, L., Licuanan, W. Y., Arceo, H. O., & David, L. T. (2021). 3D coral forms: Structural complexity descriptor and potential predictor of fish abundance. OCEANS 2021: San Diego–Porto, 1-6. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/15404
Disciplines
Aquaculture and Fisheries | Marine Biology
Keywords
Fish stock assessment; Three-dimensional modeling; Coral reefs and islands—Models
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