Biometric assessment of deep-sea vent megabenthic communities using multi-resolution 3D image reconstructions. (October 2016)
- Record Type:
- Journal Article
- Title:
- Biometric assessment of deep-sea vent megabenthic communities using multi-resolution 3D image reconstructions. (October 2016)
- Main Title:
- Biometric assessment of deep-sea vent megabenthic communities using multi-resolution 3D image reconstructions
- Authors:
- Thornton, Blair
Bodenmann, Adrian
Pizarro, Oscar
Williams, Stefan B.
Friedman, Ariell
Nakajima, Ryota
Takai, Ken
Motoki, Kaori
Watsuji, Tomo-o
Hirayama, Hisako
Matsui, Yohei
Watanabe, Hiromi
Ura, Tamaki - Abstract:
- Abstract: This paper describes a method to survey the distribution of megabenthos over multi-hectare regions of the seafloor. Quantitative biomass estimates are made by combining high-resolution 3D image reconstructions, used to model spatial relationships between representative taxa, with lower-resolution reconstructions taken over a wider area in which the distribution of larger predatory animals can be observed. The method is applied to a region of the Iheya North field that was the target of scientific drilling during the IODP Expedition 331 in 2010. An area of 2.5 ha was surveyed 3 years and 4 months after the site was drilled. More than 100, 000 organisms from 6 taxa were identified. The visible effects of drilling on the distribution of megabenthos were confined to a 20 m radius of the artificially created hydrothermal discharges, with the associated densities of biomass lower than observed in nearby naturally discharging areas. Highlights: A method to map megabenthos distribution over multi-hectare regions is described. Habitat maps (>100, 000 ind., 6 species) of the Iheya N. vent field are generated. Cross-species spatial models are used to estimate biomass of a 2.5 ha region. Post-drilling hydrothermal discharges influence the distribution of megabenthos. Megabenthic biomasses in the drilled areas are within naturally occurring levels.
- Is Part Of:
- Deep sea research. Volume 116(2016)
- Journal:
- Deep sea research
- Issue:
- Volume 116(2016)
- Issue Display:
- Volume 116, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 116
- Issue:
- 2016
- Issue Sort Value:
- 2016-0116-2016-0000
- Page Start:
- 200
- Page End:
- 219
- Publication Date:
- 2016-10
- Subjects:
- Vent-ecology -- Ecological mapping -- Visual survey -- 3D reconstruction -- Underwater vehicle
Oceanography -- Periodicals
Océanographie -- Périodiques
551.4605 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09670637 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.dsr.2016.08.009 ↗
- Languages:
- English
- ISSNs:
- 0967-0637
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3540.955500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 851.xml