TY - JOUR
T1 - Improving seabed substrate mapping with high-resolution bottom trawl data
AU - van der Reijden, K.J.
AU - Ernstsen, V.B.
AU - Olsen, J.
AU - Dinesen, G.E.
AU - Leth, J.O.
AU - Eigaard, O.R.
PY - 2023
Y1 - 2023
N2 - Accurate seabed substrate maps are essential for marine management, as substrate is an important component of the habitat type and used as a proxy for the prevailing benthic community. The provision of substrate maps, however, is hampered by the excessive costs of at-sea observations and, consequently, the uncertainty associated with spatial models used to interpolate these observations to full-coverage maps. Here, we tested whether high-resolution distributions of bottom trawling activity, readily collected under EU law, could improve the accuracy of substrate interpolations. Fishing distributions contain indirect information of the substrate type, as targeted species often show habitat preferences and gear types are designed for particular substrates. For two study areas in the Danish North Sea, we demonstrate that including spatial distributions of bottom trawl fisheries in substrate interpolation models results in more accurate substrate predictions. This potentially opens a novel source of previously unused information for improved seabed substrate interpolation.
AB - Accurate seabed substrate maps are essential for marine management, as substrate is an important component of the habitat type and used as a proxy for the prevailing benthic community. The provision of substrate maps, however, is hampered by the excessive costs of at-sea observations and, consequently, the uncertainty associated with spatial models used to interpolate these observations to full-coverage maps. Here, we tested whether high-resolution distributions of bottom trawling activity, readily collected under EU law, could improve the accuracy of substrate interpolations. Fishing distributions contain indirect information of the substrate type, as targeted species often show habitat preferences and gear types are designed for particular substrates. For two study areas in the Danish North Sea, we demonstrate that including spatial distributions of bottom trawl fisheries in substrate interpolation models results in more accurate substrate predictions. This potentially opens a novel source of previously unused information for improved seabed substrate interpolation.
KW - Seabed substrate
KW - Demersal fisheries
KW - Spatial distribution
KW - Spatial modeling
KW - Seafloor mapping
KW - Accuracy
KW - Europe
KW - North sea
UR - https://doi.org/10.11583/DTU.21602280.v1
U2 - 10.1016/j.marenvres.2023.105935
DO - 10.1016/j.marenvres.2023.105935
M3 - Journal article
C2 - 36893701
SN - 0141-1136
VL - 186
JO - Marine Environmental Research
JF - Marine Environmental Research
M1 - 105935
ER -