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Faunal microdistribution of a hydrothermal vent field: A 3D reconstruction approach

We used ROV video imagery of a hydrothermal vent field on the southwestern Indian Ridge in the Indian Ocean. Structure from Motion photogrammetry was applied to build a high resolution 3D reconstruction model of an active hydrothermal chimney complex and to project quantified abundances. This technique works for any kind of video imagery, regardless of its initial purpose and can be implemented in marine monitoring and management to identify important ecological areas. Likewise, the reconstruction was used to infer terrain variables at scales of megabenthic specimens, which were related to the abundances of the faunal assemblages. Based on the terrain variables the applied random forest model predicted the faunal assemblage distribution with an accuracy of 84.97 %. The most important structuring variables were the distances to diffuse- and black fluid exits, as well as the height of the chimney complex. This novel approach enabled us to classify quantified abundances of megabenthic taxa to distinct faunal assemblages and relate terrain variables to their distribution. The successful prediction of faunal assemblage occurrences further supports the importance of abiotic terrain variables as key structuring factors in hydrothermal systems.

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Cite this as

Gerdes, Klaas (2018). Dataset: Faunal microdistribution of a hydrothermal vent field: A 3D reconstruction approach. https://doi.org/10.1594/PANGAEA.896160

DOI retrieved: 2018

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.896160
Author Gerdes, Klaas
Given Name Klaas
Family Name Gerdes
Source Creation 2018
Publication Year 2018
Resource Type application/zip - filename: Gerdes_2018
Subject Areas
Name: Ecology

Related Identifiers
Title: Detailed Mapping of Hydrothermal Vent Fauna: A 3D Reconstruction Approach Based on Video Imagery
Identifier: https://doi.org/10.3389/fmars.2019.00096
Type: DOI
Relation: IsSupplementTo
Year: 2019
Source: Frontiers in Marine Science
Authors: Gerdes Klaas , Martínez Arbizu Pedro , Schwarz-Schampera Ulrich , Schwentner Martin , Kihara Terue Cristina .