Stock and Fishery Structure

Research Summary

Mark and his collaborators have been involved in several projects aimed at defining stock and fishery structure, with an enthesis on fishery structure. In 2018 he co-organized and chaired the CAPAM workshop on spatial stock assessment models and acted as a guest editor for the Fisheries Research special issue (Cadrin et al. 2020), which covered aspects of stock and fishery structure. Mark’s direct collaborative research on stock and fishery structured has involved developing regression tree methods to jointly analyze CPUE and composition data to determine stock and/or fishery structure based on area and season (Lennert-Cody et al., 2010; 2013). Maunder et al. (2022) extended this approach by diving the compositions by the average composition within a period to remove the year effect. Collaborations have also looked at spatial variation in composition data through spatio-temporal models (e.g. Satoh et al. 2021). Mark and his colleagues showed how even when contact selectivity is asymptotic, selectivity for the areas as fleet will be dome shape and time varying due to any spatial structure (Waterhouse et al. 2014). This will be caused by differences availability by age/size.     

Mark has also been involved in several studies to estimate movement among stocks, typically using tagging data, (e.g. Aires-da-Silva et al, 2009; Sipple et al., 2015) and usually related to spatial stock assessment models, which was the focus of his Phd dissertation (Maunder 2001). Lee et al. (2017b) used selectivity curves to approximate movement dynamics in bluefin tuna.

Relevant Papers

Maunder, M.N., Xu, H., and Lennert-Cody, C.E. 2022. Developing fishery definitions for the skipjack stock assessment in the EPO. IATTC Document SAC-12 INF-I. https://www.iattc.org/GetAttachment/855f6c5c-f2b1-4802-a713-8eaa9fe5d22d/INF-I.%20Developing%20fishery%20definitions%20for%20SKJ%20stock%20assessment%20in%20the%20EPO

Satoh, K.  Xu, H., Minte-Vera, C.V., Maunder, M.N., Kitakado, T. 2021. Size-specific spatiotemporal dynamics of bigeye tuna (Thunnus obesus) caught by the longline fishery in the eastern Pacific Ocean. Fish. Res. 243, 106065. https://www.sciencedirect.com/science/article/abs/pii/S0165783621001934

Cadrin, S.X., Maunder, M.N., Punt, A.E. 2020. Spatial Structure: Theory, estimation and application in stock assessment models. Fish. Res. 105608. https://www.sciencedirect.com/science/article/abs/pii/S0165783620301259

Lee, H-H., Piner, K.R., Maunder, M.N., Taylor, I.G., Methot Jr., R.D. 2017b. Evaluation of alternative modelling approaches to account for spatial effects due to age-based movement. Canadian Journal of Fisheries and Aquatic Sciences, 2017, 74(11): 1832-1844. https://www.nrcresearchpress.com/doi/10.1139/cjfas-2016-0294#.Xpx448hKjD4

Sippel, T., Eveson, J.P., Galuardi, B., Lam, C., Hoyle, S., Maunder, M., Kleiber, P., Carvalho, F., Tsontos, V., Teo, S.L.H., Aires-da-Silva, A., Nicol, S. 2015. Using movement data from electronic tags in fisheries stock assessment: A review of models, technology and experimental design. Fisheries Research, 163: 152-160. https://www.sciencedirect.com/science/article/abs/pii/S0165783614001404

Waterhouse, L., Sampson, D. B., Maunder, M. Semmens, B. X. 2014. Using areas-as-fleets selectivity to model spatial fishing: Asymptotic curves are unlikely under equilibrium conditions. Fisheries Research, 158: 15-25. https://www.sciencedirect.com/science/article/abs/pii/S0165783614000174

Lennert-Cody, C.E., Maunder, M.N., Aires-da-Silva, A., Minami, M. 2013. Defining population spatial units: simultaneous analysis of frequency distributions and time series. Fisheries Research 139: 85-93. https://www.sciencedirect.com/science/article/abs/pii/S0165783612002974

Lennert-Cody, C.E. Minami, M., Tomlinson, P.K. and Maunder, M.N. 2010. Exploratory analysis of spatial-temporal patterns in length-frequency data: an example of distributional regression trees. Fisheries Research, 102(3): 323-326. https://www.sciencedirect.com/science/article/abs/pii/S0165783609003166

Aires-da-Silva, A.M., Maunder, M.N. Gallucci, V.F., Kohler, N.E. and Hoey, J.J. 2009. A spatially-structured tagging model to estimate movement and fishing mortality rates for the blue shark (Prionace glauca) in the North Atlantic Ocean. Marine and Freshwater Research 60: 1029-1043. https://www.publish.csiro.au/mf/MF08235

Maunder, M.N. 2001. Integrated Tagging and Catch-at-Age ANalysis (ITCAAN). In Spatial Processes and Management of Fish Populations, edited by G.H. Kruse,N. Bez, A. Booth, M.W. Dorn, S. Hills, R.N. Lipcius, D. Pelletier, C. Roy, S.J. Smith, and D. Witherell, Alaska Sea Grant College Program Report No. AK-SG-01-02, University of Alaska Fairbanks, pp. 123-146. https://www.researchgate.net/publication/265335689_Integrated_Tagging_and_Catch-at-age_analysis_ITCAAN_model_development_and_simulation_testing

Reports

Lennert-Cody, C.E., Maunder, M.N., and Aires-da-Silva, A. 2014. Analysis of large-scale spatial patterns in yellowfin tuna catch data from purse-seine and longline fisheries. IATTC Stock Assessment Report 14: 19-30.  https://www.iattc.org/GetAttachment/7463ef95-8e47-4ec0-ad48-5a168e5b8d31/No-14-2014_Status-of-the-tuna-and-billfish-stocks-in-2012.pdf

Lennert-Cody, C.E., Maunder, M.N. Tomlinson, P.K., Aires-da-Silva, A., and Pérez, A. 2013. Progress report on the development of poststratified estimators of total catch for the purse-seine fishery port-sampling data. IATTC Stock Assessment Report 13: 121-134.  https://www.iattc.org/GetAttachment/d336c4e2-b84b-4d3e-8153-9d245e8bcd4b/No-13-2012_Status-of-the-tuna-and-billfish-stocks-in-2011.pdf

Lennert-Cody, C.E., Maunder, M.N. Tomlinson, P.K., Aires-da-Silva, A., Pérez, A., and McCracken, M. 2012. Poststratified estimators of total catch for the purse-seine fishery port-sampling data. IATTC Stock Assessment Report 12: 178-190.  https://www.iattc.org/GetAttachment/59dd17fe-c85b-4c54-bc25-78c777be0af7/No-12-2012_Status-of-the-tuna-and-billfish-stocks-in-2010.pdf