Predicting 3D and 2D surface area of corals from simple field measurements

被引:1
作者
Chandler, Josie F. [1 ]
Figueira, Will F. [2 ]
Burn, Deborah [1 ]
Doll, Peter C. [1 ]
Johandes, Abby [1 ]
Piccaluga, Agustina [2 ]
Pratchett, Morgan S. [1 ]
机构
[1] James Cook Univ, Coll Sci & Engn, Townsville, Qld 4811, Australia
[2] Univ Sydney, Sch Life & Environm Sci, Sydney, NSW 2006, Australia
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
HABITAT COMPLEXITY; REEF; GROWTH; QUANTIFICATION; FISHERIES; ACCURACY; RATES;
D O I
10.1038/s41598-024-71580-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The structural architecture of coral reefs is a known predictor of species richness, fish biomass and reef resilience. At a smaller scale, three-dimensional (3D) surface area of corals is a fundamental determinant of physical and biological processes. Quantifying the 3D surface area of corals has applications for a broad range of scientific disciplines, including carbonate production estimates, coral predation studies, and assessments of reef growth. Here, we present morphotaxon-specific conversion metrics to estimate total 3D surface area and projected 2D surface area of individual colonies from simple field measurements of colony maximum diameter. Underwater photogrammetry techniques were used to quantify surface area and estimate conversion metrics. Bayesian models showed strong non-linear (power) relationships between colony maximum diameter and both total 3D surface area and projected 2D surface area for 13 out of 15 morphotaxa. This study presents a highly resolved and efficient method for obtaining critical surface area assessments of corals for various applications, including assessments of biotic surface area, tissue biomass, calcification rates, coral demographic rates, and reef restoration monitoring.
引用
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页数:12
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