The Need for Spatio-Temporal Modeling to Determine Catch-Per-Unit Effort Based Indices of Abundance and Associated Composition D
1 The need for spatio-temporal modeling to determine catch-per-unit effort based indices of 2 abundance and associated composition data for inclusion in stock assessment models. 3 Maunder, M.N.1,2, Thorson, J.T.3, Xu, H.,1, Oliveros-Ramos, R.1, Hoyle, S.D.4, Tremblay-Boyer, 4 L.5, Lee, H.H.,6, Kai, M.7, Chang, S.K.8, Kitakado, T.9, Albertsen, C.M.10, Minte‑Vera, C.V.1, 5 Lennert-Cody, C.E. 1, Aires-da-Silva, A.M. 1, and Piner, K.R.6 6 1: Inter-American Tropical Tuna Commission, 8901 La Jolla, Shores Dr., La Jolla, CA, 92037‑1508, USA 7 2: Center for the Advancement of Population Assessment, Methodology, La Jolla, CA, USA 8 3: Habitat and Ecosystem Process Research program, Alaska Fisheries Science Center, NMFS, NOAA, Seattle, WA, 9 USA 10 4: National Institute of Water and Atmospheric Research Ltd (NIWA), 217 Akersten Street, Port Nelson, New 11 Zealand 7011 12 5: Dragonfly Data Science, 158 Victoria St, Wellington, New Zealand 6011 13 6: Southwest Fisheries Science Center, National Marine Fisheries Service (NMFS), NOAA, La Jolla, CA, U.S.A. 14 7: National Research Institute of Far Seas, Fisheries (NRIFSF), Japan Fisheries, Research and Education Agency, 15 Shimizu, Shizuoka, Japan 16 8: Institute of Marine Affairs, National Sun Yat-sen University, Kaohsiung, Taiwan 17 9: Tokyo University of Marine Science and Technology, 5-7, Konan 4, Minato-ku, Tokyo 108-8477 Japan 18 10: National Institute of Aquatic Resources, Technical University of Denmark, Kemitorvet 201, DK-2800 Kgs.
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