T115 Phylogenetic Paleobiology: Exploring Macroevolutionary Trends with Evolutionary Trees (Posters)
Monday, 5 November 2018
9:00 AM - 6:30 PM
Halls J-K
QUANTIFYING MORPHOLOGICAL CHANGES AMONG RAFINESQUINA (BRACHIOPODA) WITH 3D PHOTOGRAMMETRY
Paper number: T115-2
Program: Technical Sessions
Time: 9:00 AM – 6:30 PM
Authors
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Caroline GazzeThe Pennsylvania State University, State College, PA
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Audrey BournePennsylvania State University, University Park, PA
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Max ChristieUniversity of Illinois, Urbana, IL
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Judith A. SclafaniThe Pennsylvania State University, University Park, PA
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Mark PatzkowskyPennsylvania State University, University Park, PA
Abstract
We developed a method that uses photogrammetry and structure for motion in order to distinguish the morphological variability of Rafinesquina specimens based on 3D digital models. Photogrammetry is a 3D technology that takes 2D photos of objects from different angles and aligns them in order to create a 3D model. We then expanded this method by moving it from extracted hand samples in the lab to rock slab samples in the field. These photographs were then exported into the photogrammetric software, Agisoft photoscan. Agisoft photoscan aligns these photos and creates a point cloud of the 3D specimen. The point clouds from multiple specimens were extracted and then analyzed using principle components analysis to identify how morphology changes across the environmental gradient.
Preliminary observations of 2D photos and 3D models are largely similar but there are some differences in shape or size across the C5 environmental gradient suggesting that morphological variation in shape and size among Rafinesquina specimens reflects adaptation to the environmental gradient. Rafinesquina specimens that were sampled from the distal deep subtidal environments seem to be more globose whereas Rafinesquina specimens sampled from the shallow subtidal and proximal deep subtidal environments were less globose.
Geological Society of America Abstracts with Programs. Vol. 50, No. 6
doi: 10.1130/abs/2018AM-319428
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