Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison

Schoening T, Purser A, Langenkämper D, Suck I, Taylor J, Cuvelier D, Lins L, Simon-Lledo E, Marcon Y, Jones DOB, Nattkemper TW, et al. (2020)
BIOGEOSCIENCES 17(12): 3115-3133.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Schoening, Timm; Purser, Autun; Langenkämper, DanielUniBi ; Suck, Inken; Taylor, James; Cuvelier, Daphne; Lins, Lidia; Simon-Lledo, Erik; Marcon, Yann; Jones, Daniel O. B.; Nattkemper, Tim W.; Koeser, Kevin
Alle
Abstract / Bemerkung
With the mining of polymetallic nodules from the deep-sea seafloor once more evoking commercial interest, decisions must be taken on how to most efficiently regulate and monitor physical and community disturbance in these remote ecosystems. Image-based approaches allow nondestructive assessment of the abundance of larger fauna to be derived from survey data, with repeat surveys of areas possible to allow time series data collection. At the time of writing, key underwater imaging platforms commonly used to map seafloor fauna abundances are autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs) and towed camera "ocean floor observation systems" (OFOSs). These systems are highly customisable, with cameras, illumination sources and deployment protocols changing rapidly, even during a survey cruise. In this study, eight image datasets were collected from a discrete area of polymetallic-nodulerich seafloor by an AUV and several OFOSs deployed at various altitudes above the seafloor. A fauna identification catalogue was used by five annotators to estimate the abundances of 20 fauna categories from the different datasets. Results show that, for many categories of megafauna, differences in image resolution greatly influenced the estimations of fauna abundance determined by the annotators. This is an important finding for the development of future monitoring legislation for these areas. When and if commercial exploitation of these marine resources commences, robust and verifiable standards which incorporate developing technological advances in camera-based monitoring surveys should be key to developing appropriate management regulations for these regions.
Erscheinungsjahr
2020
Zeitschriftentitel
BIOGEOSCIENCES
Band
17
Ausgabe
12
Seite(n)
3115-3133
ISSN
1726-4170
eISSN
1726-4189
Page URI
https://pub.uni-bielefeld.de/record/2944775

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Schoening T, Purser A, Langenkämper D, et al. Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. BIOGEOSCIENCES. 2020;17(12):3115-3133.
Schoening, T., Purser, A., Langenkämper, D., Suck, I., Taylor, J., Cuvelier, D., Lins, L., et al. (2020). Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. BIOGEOSCIENCES, 17(12), 3115-3133. doi:10.5194/bg-17-3115-2020
Schoening, T., Purser, A., Langenkämper, D., Suck, I., Taylor, J., Cuvelier, D., Lins, L., Simon-Lledo, E., Marcon, Y., Jones, D. O. B., et al. (2020). Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. BIOGEOSCIENCES 17, 3115-3133.
Schoening, T., et al., 2020. Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. BIOGEOSCIENCES, 17(12), p 3115-3133.
T. Schoening, et al., “Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison”, BIOGEOSCIENCES, vol. 17, 2020, pp. 3115-3133.
Schoening, T., Purser, A., Langenkämper, D., Suck, I., Taylor, J., Cuvelier, D., Lins, L., Simon-Lledo, E., Marcon, Y., Jones, D.O.B., Nattkemper, T.W., Koeser, K., Zurowietz, M., Gomes-Pereira, J., Greinert, J.: Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. BIOGEOSCIENCES. 17, 3115-3133 (2020).
Schoening, Timm, Purser, Autun, Langenkämper, Daniel, Suck, Inken, Taylor, James, Cuvelier, Daphne, Lins, Lidia, Simon-Lledo, Erik, Marcon, Yann, Jones, Daniel O. B., Nattkemper, Tim W., Koeser, Kevin, Zurowietz, Martin, Gomes-Pereira, Jose, and Greinert, Jens. “Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison”. BIOGEOSCIENCES 17.12 (2020): 3115-3133.

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