JAMSTEC SIP Protocol Serieshttps://repository.oceanbestpractices.org/handle/11329/3602024-03-29T09:47:56Z2024-03-29T09:47:56ZSurvey protocol for seafloor massive sulfied deposits. Revised edition.https://repository.oceanbestpractices.org/handle/11329/12422020-03-26T14:17:08Z2018-01-01T00:00:00ZSurvey protocol for seafloor massive sulfied deposits. Revised edition.
Kikawa, Eiichi
A metal deposit is a geological feature in which useful metals have been concentrated to the point of being economically viable for recovery. In other words, in order for a body of rock to be considered a deposit, it must not only meet certain geological criteria, such as metal concentration, but must also meet economic criteria set by the profitability of the production process. In the absence of detailed economic analysis, seafloor minerals cannot meet the strict definition of a deposit. However, due to the general expectation of profitability, these resources are often referred to as "ore deposits." In this protocol, we will use the term seafloor massive sulfide deposit (SMS deposit) in a similar manner.
2018-01-01T00:00:00ZFunctional assessment of microbiota in various environments using MAPLE. Version 1.https://repository.oceanbestpractices.org/handle/11329/12412020-03-26T14:17:52Z2018-01-01T00:00:00ZFunctional assessment of microbiota in various environments using MAPLE. Version 1.
MAPLE is an automatic system that can perform a series of steps used in the evaluation of potential comprehensive functions (i.e., functionomes) harbored by genomes and metagenomes. From April (2016) through March (2017), MAPLE was accessed 2.5 million times. However, beginners still have difficulty in processing such massive raw datasets produced by NGS prior to data submission to MAPLE and in interpreting MAPLE results, which contain many rows of numerical values. Thus, we now provide a complete system to support every step from initial data processing to final visualization of the MAPLE results.
2018-01-01T00:00:00ZHow to map the resilience of hydrothermal vent fields: a tutorial. Verson 1.https://repository.oceanbestpractices.org/handle/11329/9012019-04-06T12:26:07Z2019-01-01T00:00:00ZHow to map the resilience of hydrothermal vent fields: a tutorial. Verson 1.
One of the targets for commercial mining is the Seafloor Massive Sulfides (SMSs) deposits
formed around hydrothermal vents, which is a highly attractive source of copper, zinc, lead,
gold and silver ores (Hoagland 2010, Herzig 1999, Binns and Scott 1993, Halbach et al. 1989).
Hydrothermal vents host chemosynthetic communities as well as metal rich ores. The
chemosynthetic communities consist of many endemic invertebrate species specifically
adapted to the vent environment via microbial chemoautotrophic primary production (Van
Dover 2010). These species have provided new scientific insights into the mechanisms by
which organisms adopt to the extreme environment (Jannasch and Wirsen 1979). Furthermore,
as reviewed by Le et al. (2016), ecological function and services of these communities range
from providing habitat and refuge for other species including non-endemic species (Levin et al.
2016, Govenar 2010), playing a key role in global carbon, sulfur and heavy metals cycling
(Jeanthon, 2000, D'Arcy and Amend 2013) and offering new biomolecules that could contribute
to industrial development (Terpe et al. 2013, Mahon et al. 2015).
Mining of seafloor massive sulfide deposits potentially changes the physico-chemical
environment of a vent community through the loss of sulfide habitat, degradation of sulfide
habitat quality, modification of fluid flux regimes and exposure of surrounding seafloor
habitats (including non-sulfide habitats) to sedimentation and heavy metal deposition
(International Seabed Authority 2007, Van Dover 2014). This will directly affect the ecological
community by removing and reclaiming organisms, reducing the amount of habitable substrate
and changing resource supply. Physico-chemical models and organism distribution data have
been integrated to estimate the potential area of sedimentation (Coffey Natural Systems
2008b). However, after the instantaneous effects of a disturbance, the ecological community
will reach a new equilibrium state within the disturbed environment (Ives and Carpenter 2007).
Hence, potential impacts of artificial disturbances, including how they may cause extinction
and modify community structure at different spatial scales (local, regional and global), and
decrease diversity at different biological levels (genetic, species and phylogenetic), will be
understood by considering both direct impacts of mining activities and subsequent ecological responses. Environmental impact assessments (EIAs) that lack this point of view might
severely underestimate the potential risks of anthropological activities.
2019-01-01T00:00:00ZOnboard bioassay for seawater quality monitoring using delayed fluorescence of microalgae.https://repository.oceanbestpractices.org/handle/11329/3532021-08-20T21:10:04Z2017-01-01T00:00:00ZOnboard bioassay for seawater quality monitoring using delayed fluorescence of microalgae.
2017-01-01T00:00:00ZMicrostructure Measurements around Deep Sea Floor - direct measurements of the deep-sea turbulence flow. Version 1, 28 Feb 2017.https://repository.oceanbestpractices.org/handle/11329/3272021-08-20T21:07:20Z2017-01-01T00:00:00ZMicrostructure Measurements around Deep Sea Floor - direct measurements of the deep-sea turbulence flow. Version 1, 28 Feb 2017.
2017-01-01T00:00:00ZAcquisition of Long-Term Monitoring Images near the Deep Seafloor by Edokko Mark I. Version 1, 28 Feb 2017.https://repository.oceanbestpractices.org/handle/11329/3262021-08-20T21:04:41Z2017-01-01T00:00:00ZAcquisition of Long-Term Monitoring Images near the Deep Seafloor by Edokko Mark I. Version 1, 28 Feb 2017.
2017-01-01T00:00:00ZA rapid method to analyze meiofaunal assemblages using an Imaging Flow Cytometer. Version 1, 01 May 2017.https://repository.oceanbestpractices.org/handle/11329/3252021-08-20T21:01:57Z2017-01-01T00:00:00ZA rapid method to analyze meiofaunal assemblages using an Imaging Flow Cytometer. Version 1, 01 May 2017.
2017-01-01T00:00:00ZGenetic connectivity survey manuals. Version 1, 01 May 2017.https://repository.oceanbestpractices.org/handle/11329/3242021-08-20T20:58:34Z2017-01-01T00:00:00ZGenetic connectivity survey manuals. Version 1, 01 May 2017.
2017-01-01T00:00:00ZApplication of environmental metagenomic analyses for environmental impact assessments. Version 1, 01 May 2017https://repository.oceanbestpractices.org/handle/11329/3232021-08-20T20:55:25Z2017-01-01T00:00:00ZApplication of environmental metagenomic analyses for environmental impact assessments. Version 1, 01 May 2017
2017-01-01T00:00:00Z