The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Biological responses to disturbance from simulated deep-sea polymetallic nodule mining
Open accessAbstract
Commercial-scale mining for polymetallic nodules could have a major impact on the deep-sea environment, but the effects of these mining activities on deep-sea ecosystems are very poorly known. The first commercial test mining for polymetallic nodules was carried out in 1970. Since then a number of small-scale commercial test mining or scientific disturbance studies have been carried out. Here we evaluate changes in faunal densities and diversity of benthic communities measured in response to these 11 simulated or test nodule mining disturbances using meta-analysis techniques. We find that impacts are often severe immediately after mining, with major negative changes in density and diversity of most groups occurring. However, in some cases, the mobile fauna and small-sized fauna experienced less negative impacts over the longer term. At seven sites in the Pacific, multiple surveys assessed recovery in fauna over periods of up to 26 years. Almost all studies show some recovery in faunal density and diversity for meiofauna and mobile megafauna, often within one year. However, very few faunal groups return to baseline or control conditions after two decades. The effects of polymetallic nodule mining are likely to be long term. Our analyses show considerable negative biological effects of seafloor nodule mining, even at the small scale of test mining experiments, although there is variation in sensitivity amongst organisms of different sizes and functional groups, which have important implications for ecosystem responses. Unfortunately, many past studies have limitations that reduce their effectiveness in determining responses. We provide recommendations to improve future mining impact test studies. Further research to assess the effects of test-mining activities will inform ways to improve mining practices and guide effective environmental management of mining activities.
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Cites
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INTERPOLATING, EXTRAPOLATING, AND COMPARING INCIDENCE-BASED SPECIES ACCUMULATION CURVES
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SME mining engineering handbook
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Global analysis of response and recovery of benthic biota to fishing
Kaiser, M., Clarke, K., Hinz, H., Austen, M., Somerfield, P., & Karakassis, I. (2006) · Marine Ecology Progress Series · doi:10.3354/meps311001 · Cited by 636
Abyssal food limitation, ecosystem structure and climate change
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Self-citationGlobal Patterns and Predictions of Seafloor Biomass Using Random Forests
Wei, C.-L., Rowe, G. T., Escobar-Briones, E., Boetius, A., Soltwedel, T., Caley, M. J., Soliman, Y., Huettmann, F., Qu, F., Yu, Z., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015323 · Cited by 441
Self-citationAre there physiological and biochemical adaptations of metabolism in deep-sea animals?
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Cited by
Impact of remotely generated eddies on plume dispersion at abyssal mining sites in the Pacific
Aleynik, D., Inall, M. E., Dale, A., & Vink, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-16912-2 · Cited by 131
Metadata
- Authors
- Jones, D. O. B., Kaiser, S., Sweetman, A. K., Smith, C. R., Menot, L., Vink, A., Trueblood, D., Greinert, J., Billett, D. S. M., Arbizu, P. M., Radziejewska, T., Singh, R., Ingole, B., Stratmann, T., Simon-Lledó, E., Durden, J. M., & Clark, M. R.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-02-08
- Volume
- 12
- Issue
- 2
- Pages
- e0171750
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2587054260
- Cited by
- 336
- References
- 30
- FWCI
- 22.33
- Type
- journal article
- Language
- en
- Open access
- gold
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- Jones, D. O. B., Kaiser, S., Sweetman, A. K., Smith, C. R., Menot, L., Vink, A., Trueblood, D., Greinert, J., Billett, D. S. M., Arbizu, P. M., Radziejewska, T., Singh, R., Ingole, B., Stratmann, T., Simon-Lledó, E., Durden, J. M., & Clark, M. R. (2017). Biological responses to disturbance from simulated deep-sea polymetallic nodule mining. PLOS ONE. https://doi.org/10.1371/journal.pone.0171750
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.