GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    facet.materialart.
    Unknown
    Brill
    In:  In: New Knowledge and Changing Circumstances in the Law of the Sea. , ed. by Heidar, T. Brill, Leiden, pp. 327-342. ISBN 978-90-04-43775-3
    Publication Date: 2020-09-14
    Description: Exploitation of mineral ores from the deep sea will impact the abyssal environment by removing the mineral deposits and sediments from the seafloor surface, where most deep-sea benthic life is found. Additional effects are expected from the blanketing of the mined area and the pristine surrounding seabed with sediments and/or mineral debris. As a consequence, seafloor integrity is lost in the impacted area, species densities and biodiversity are reduced, and ecosystem functions are negatively affected. Although a lot of open questions remain regarding, for example, indicator species, disturbance thresholds, and renaturation options, it is becoming increasingly clear that the induced environmental impacts last for at least many decades to centuries and affect all ecosystem compartments.
    Type: Book chapter , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2024-02-07
    Description: In large areas of the Clarion Clipperton Fracture Zone (northeast Pacific), exploration of deep-sea polymetallic nodules as a potential source of high-technology metals is ongoing. Deep-sea mining may have a severe impact on the benthic communities. Here, we investigated meiofauna communities in the abyss at the scale of a prospective mining operation area. Random forest regressions were computed to spatially predict continuous layers of environmental variables as well as the distribution of meiofauna abundance across the area. Significant models could be computed for 26 sediment and polymetallic nodule parameters. Meiofauna abundance, taxon richness and diversity were also modelled, as well as abundance of the taxon Nematoda. Spatial correlation is high if the predictions of meiofauna are either based on bathymetry and backscatter or include sediment and nodule variables; Pearson’s correlation coefficient varies between 0.42 and 0.91. Comparison of differences in meiofauna abundance between different years shows that spatial patterns do change, with an elevated abundance of meiofauna in the eastern part of the study area in 2013. On the spatial scale of a potential mining operation, distribution models prove to be a useful tool to gain insight into both temporal variability and the influence of potential environmental drivers on meiofauna distribution.
    Type: Article , PeerReviewed
    Format: text
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...