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We conducted a net and trawl survey of the epipelagic fauna in northern Norway (70\u00b0 N) in June 2018 while an autonomous surface vehicle equipped with a broadband echosounder (283\u2013383\u00a0kHz) surveyed the same region. Densities from the autonomous hydroacoustic survey were calculated using forward estimates from the relative density from the net and trawl, and inversion estimates with statistical data-fitting. All four methods (net, trawl, acoustic forward and inverse methods) identified that copepods dominated the epipelagic SSL, while pteropods, amphipods and fish larvae were present in low densities. The density estimates calculated with the inverse method were higher for mobile zooplankton, such as euphausiid larvae, than with the other methods. We concluded that the inverse method applied to broadband autonomous acoustic surveys can improve density estimates of epipelagic organisms by diminishing avoidance biases and increasing the spatio-temporal resolution of ship-based surveys. <\/jats:p>","DOI":"10.1139\/cjfas-2022-0105","type":"journal-article","created":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T16:35:45Z","timestamp":1668098145000},"page":"451-467","update-policy":"https:\/\/doi.org\/10.1139\/csp-crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Inverse method applied to autonomous broadband hydroacoustic survey detects higher densities of zooplankton in near-surface aggregations than vessel-based net survey"],"prefix":"10.1139","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4206-7460","authenticated-orcid":false,"given":"Muriel","family":"Dunn","sequence":"first","affiliation":[{"name":"Akvaplan-niva AS, Fram Centre \u2013 High North Research Centre for Climate and the Environment","place":["Troms\u00f8, Norway"]},{"name":"Center for Fisheries Ecosystems Research, Fisheries and Marine Institute of Memorial University of Newfoundland","place":["St. John\u2019s, Canada"]}]},{"given":"Geir","family":"Pedersen","sequence":"additional","affiliation":[{"name":"Institute for Marine Research","place":["Bergen, Norway"]}]},{"given":"S\u00fcnnje L.","family":"Basedow","sequence":"additional","affiliation":[{"name":"Department of Arctic and Marine Biology, UiT The Arctic University of Norway","place":["Troms\u00f8, Norway"]}]},{"given":"Malin","family":"Daase","sequence":"additional","affiliation":[{"name":"Department of Arctic and Marine Biology, UiT The Arctic University of Norway","place":["Troms\u00f8, Norway"]}]},{"given":"Stig","family":"Falk-Petersen","sequence":"additional","affiliation":[{"name":"Akvaplan-niva AS, Fram Centre \u2013 High North Research Centre for Climate and the Environment","place":["Troms\u00f8, Norway"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0711-8581","authenticated-orcid":false,"given":"Lo\u00efc","family":"Bachelot","sequence":"additional","affiliation":[{"name":"Laboratoire d'Oc\u00e9anographie Physique et Spatiale, IFREMER","place":["Plouzan\u00e9, France"]}]},{"given":"Lionel","family":"Camus","sequence":"additional","affiliation":[{"name":"Akvaplan-niva AS, Fram Centre \u2013 High North Research Centre for Climate and the Environment","place":["Troms\u00f8, Norway"]}]},{"given":"Maxime","family":"Geoffroy","sequence":"additional","affiliation":[{"name":"Center for Fisheries Ecosystems Research, Fisheries and Marine Institute of Memorial University of Newfoundland","place":["St. John\u2019s, Canada"]},{"name":"Department of Arctic and Marine Biology, UiT The Arctic University of Norway","place":["Troms\u00f8, Norway"]}]}],"member":"155","reference":[{"key":"refg1\/ref1","doi-asserted-by":"publisher","unstructured":"Andersen L.N., Chu D., Heimvoll H., Korneliussen R., Macaulay G.J., Ona E. 2021. 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