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dc.contributor.authorZawada, Kyle
dc.contributor.authorDornelas, Maria
dc.contributor.authorMadin, Joshua S.
dc.date.accessioned2019-08-05T14:30:06Z
dc.date.available2019-08-05T14:30:06Z
dc.date.issued2019-08-02
dc.identifier.citationZawada , K , Dornelas , M & Madin , J S 2019 , ' Quantifying coral morphology ' , Coral Reefs , vol. First Online . https://doi.org/10.1007/s00338-019-01842-4en
dc.identifier.issn0722-4028
dc.identifier.otherPURE: 259577589
dc.identifier.otherPURE UUID: 03b3b515-067b-4909-9d1f-1d382a693669
dc.identifier.urihttp://hdl.handle.net/10023/18249
dc.descriptionFunding: John Templeton Foundation (60501), Australian Research Council (FT110100609), Leverhulme Trust.en
dc.description.abstractCoral morphology has important implications across scales, from differences in physiology, to the environments they are found, through to their role as ecosystem engineers. However, quantifying morphology across taxa is difficult, and so morphological variation is typically captured via coarse growth form categories (e.g. arborescent and massive). In this study, we develop an approach for quantifying coral morphology by identifying continuous three-dimensional shape variables. To do so, we contrast six variables estimated from 152 laser scans of coral colonies that ranged across seven growth form categories and three orders of magnitude of size. We found that 88% of the variation in shape was captured by two principal components. The main component was variation in volume compactness (cf. convexity), and the second component was a trade-off between surface complexity and top-heaviness. Variation in volume compactness also limited variation along the second axis, where surface complexity and top-heaviness ranged more freely when compactness was low. Traditional growth form categories occupied distinct regions within this morphospace; however, these regions overlapped due to scaling of shape variables with colony size. Nonetheless, with four of the shape variables we were able to predict traditional growth form categories with 70 to 95% accuracy, suggesting that the continuous variables captured most of the qualitative variations implied by these growth forms. Distilling coral morphology into continuous variables that capture shape variation will allow for better tests of the mechanisms that govern coral biology, ecology and ecosystem services such as reef building and provision of habitat.
dc.format.extent12
dc.language.isoeng
dc.relation.ispartofCoral Reefsen
dc.rightsCopyright © The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en
dc.subjectFunctional morphologyen
dc.subjectScleractiniaen
dc.subject3D scanningen
dc.subjectShape analysisen
dc.subjectTraitsen
dc.subjectGrowth formen
dc.subjectGC Oceanographyen
dc.subjectQH301 Biologyen
dc.subjectNDASen
dc.subject.lccGCen
dc.subject.lccQH301en
dc.titleQuantifying coral morphologyen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews.Fish Behaviour and Biodiversity Research Groupen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.identifier.doihttps://doi.org/10.1007/s00338-019-01842-4
dc.description.statusPeer revieweden


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